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Community Health Status Report 2014

Community Health Status Report 2014

i HOW TO OBTAIN MORE INFORMATION

Inquiries about this report should be directed to the Porcupine Health Unit, Gary Schelling, Communications Specialist, by mail:

Porcupine Health Unit 169 Pine Street South Postal Bag 2012 Timmins, ON P4N 8B7

Or by phone,

Local Phone: 1.705.267.1181 Toll Free: 1.800.461.1818

Or by email, e-mail: [email protected]

This report is also available in electronic format, free of charge. To obtain a copy, please visit our website at www.porcupinehu.on.ca Community Health Status Report 2014

Foreword

It is with great pleasure that the Porcupine Health Unit releases this 2014 Community Health Status Report. A core function of public health is population-wide health assessment. This includes the examination of trends in particular diseases and the risk factors for those diseases. This report looks at a wide number of community health indicators. It contains statistical information that is reflective of national and provincial trends, as well as information that is uniquely reflective of specific health challenges in our health unit area.

The Porcupine Health Unit is responsive in its programming to evolving health issues as identified in health status reports such as this one. We also hope this information will be useful to our many health partner organizations and will assist them in their planning efforts.

We wish to acknowledge the support of the Porcupine Health Unit’s management team in the production and development of this report. We would also like to recognize the gracious epidemiologic support we received from Public Health ’s Epidemiology Unit, namely, Jeremy Herring and Ruth Sanderson.

Sincerely,

______

Dr. Rosemarie Ramsingh, Councillor Gary Scripnick, Medical Officer of Health, Board of Health Chair, Porcupine Health Unit Porcupine Health Unit

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Community Health Status Report 2014

HIGHLIGHTS OF THIS REPORT

Demographics and Socioeconomics: The Porcupine Health Unit (PHU) is one of the most geographically large health units in the province of Ontario. It is located in . It has many demographic and socioeconomic factors that make it unique in the province.

As compared to the entire province of Ontario, the PHU area has:

• A higher Francophone population (45.9% versus 4.1%); • A higher Aboriginal population (12.3% versus 2.0%); • A lower population density (0.3 people/km2 versus 14.1 people/ km2); • A similar unemployment level (7.4% versus 7.8%); • A higher percentage of those not completing high school (34% versus 22%); and • A higher cost of nutritious food (the cost of the standardized Nutritious Food Basket is $14.88 higher in the PHU than the Ontario cost).

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Some Encouraging Findings: Self-reported measures of personal well-being are higher among residents of the PHU area, compared to the province while lower levels of stress are reported. For some key health indicators and screening indicators, the findings below were encouraging as well.

In comparison to the province of Ontario, the PHU area has:

• Very similar levels of self-reported community belonging (67.9% versus 67.5%); • Very similar levels of self-reported life satisfaction (92.9% versus 91.8%); • Very similar levels of self-reported stress (22.2% versus 22.8%); • Only slightly lower levels of self-reported good mental health (69.6% versus 72.4%); • Very similar rates of self-reported seat belt use (94.2% versus 95.1%); • Higher levels of self-reported mammography screening (recently 80.4% versus 73.2%); • Lower rates of reportable enteric diseases (e.g., gastro-intestinal illness); • Lower rates of tuberculosis (1 per 100,000 versus 4.9 per 100,000); and • A significant trend towards less youth smoking (65% of youth never smoked a whole cigarette in 2007/8 and 83% of youth have never smoked a whole cigarette in 2009/10).

Some Challenging Findings: The Porcupine Health Unit area has some indicators that reflect some major challenges in the area of health. As compared to the whole of the province, the PHU area has:

• A lower life expectancy, 4 years less for men and 3.3 years less for women; • A higher rate of potentially-avoidable mortality (e.g., deaths likely caused by smoking, excess drinking, and other lifestyle activities), 1.6 times higher;

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• A higher cancer rate, 1.25 times higher; • A higher rate of alcohol-related deaths, 2 times higher; • A higher rate of death and/or hospitalization for a number of diseases associated with lifestyle risk factors (e.g., heart disease, chronic obstructive lung disease, diabetes, and arthritis); • A higher rate of hospitalization due to mental illness, 3 times higher; • A higher rate of suicide (intentional self-harm), 3 times higher (further, among those 10–19, it is even higher: for girls in this age group it is over 24 times higher, and for boys in this age group it is over 12 times higher); • A higher rate of infant mortality, 7.7 per 1,000 live births versus 4.9 per 1,000 live births; • A higher teen pregnancy rate (2 times higher) and a higher live birth rate to teens, over 3 times higher; • A lower breastfeeding (at time of discharge from hospital) rate, 17.6% lower; • A higher smoking rate, 1.4 times higher, and a higher rate of environmental tobacco exposure, 1.7 times higher; • Significantly higher rates of chlamydia and gonorrhea (sexually transmitted infections); • A higher rate of drinking at levels associated with negative health outcomes, 52.8% versus 41%; and • A higher rate of death due to land transport crashes, 9.6 per 100,000 versus 6.2 per 100,000.

Data Needs Identified: There is a significant gap in available data on (FN) on reserve within the Porcupine Health Unit area, and also on Aboriginal people living off-reserve within the boundaries of the health unit area. The first issue relates to FN on reserve often not participating in national surveys such as the Community Health Survey. The second issue relates to the absence of an ethnic identifier in administratively collected health data, making it impossible to do subanalyses on any ethnic population to assess any difference in prevalence or incidences in certain diseases.

Other major gaps are in the area of mental health. There is insufficient high quality data for different sub-groups to delve into for this large problem in our area.

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Table of Contents

HIGHLIGHTS OF THIS REPORT...... iii

Demographics and Socioeconomics...... iii

Some Encouraging Findings...... iv

Some Challenging Findings...... iv

Data Needs Identified...... v section 1 – DEMOGRAPHICS...... 1 section 2 – SELECTED SOCIAL DETERMINANTS OF HEALTH...... 3 section 3 – MORTALITY...... 5

Leading Causes of Death...... 5

Life Expectancy ...... 7

Potentially Avoidable Mortality ...... 8

Injury-Related Mortality...... 8

Mortality Counts and Rates for Selected Chronic Diseases ...... 12 section 4 – MORBIDITY...... 15

Self-Rated Health...... 15

Hospitalization for Selected Chronic Diseases...... 16

Prevalence for Selected Chronic Diseases...... 20

Mental Health...... 21 section 5 – RISK FACTORS...... 25

Smoking...... 25

Alcohol...... 27

Physical Activity, Nutrition and Healthy Weights...... 29

Bike Helmet Use...... 29

Seatbelt Use...... 30

High Blood Pressure...... 30 section 6 – HEALTHCARE SYSTEM INDICATORS...... 31

Regular Medical Doctor...... 31

General/Family/Specialist Physician Rate ...... 31

Wait Time for Hip Fracture Surgery ...... 32

Emergency Room Wait Times ...... 34

Repeat Hospitalizations for Mental Illnesses...... 34

Selected Screening Practices ...... 35 section 7 – REPRODUCTIVE AND CHILD HEALTH...... 37

Reproductive Health...... 37

Infant Mortality...... 40

Small & Large for Gestational Age ...... 41

Breastfeeding Intent, Initiation and Duration...... 42

Child Dental Health...... 44 section 8 – INFECTIOUS DISEASES...... 45

Selected Sexually Transmitted and Blood Borne Infections...... 45

Selected Enteric Diseases ...... 50

Selected Diseases Transmitted By Respiratory Route...... 52 section 9 – SERVICE STATISTICS SNAPSHOT...... 53

APPENDIX A – GLOSSARY...... 55

APPENDIX B – METHODOLOGY...... 67

Data Sources and Limitations...... 67

Data Analysis ...... 69

Data Comparisons...... 71

Small Counts...... 72

APPENDIX C – BIBLIOGRAPHY...... 73 Community Health Status Report 2014

section 1 DEMOGRAPHICS

The Porcupine Health Unit is a public health unit located in Northeastern Ontario serving a wide geographic area that covers the entire and the Town of Hornepayne. Our head office is located in Timmins, with branch offices in Cochrane, Hearst, Hornepayne, , , Matheson, and .

Fig. 1. Porcupine Health Unit locations

PORCUPINE HEALTH UNIT CATCHMENT AREA

Moosonee

Hearst Kapuskasing Hornepayne Smooth Rock Falls Cochrane Iroquois Falls Timmins Matheson

PORCUPINE HEALTH UNIT Office Locations

Timmins (Main Office) Cochrane Ottawa Hearst Hornepayne Iroquois Falls Kapuskasing Toronto Matheson Smooth Rock Falls Moosonee

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Table 1. Demographic profile of the Porcupine Health Unit and Ontario

Porcupine Variable Health Unit Ontario Size of Region (km2) a 266, 291 908,608 Population (2011)a 82,165 12,851,821 Population Growth Rate (2006-2011) a,b -1.9% +5.7% Population Density (persons/km2) a 0.3 14.1 Immigrants (%)b 3.2 28.3 Aboriginal Population (%)b 12.3 2.0 Mother tongue (%)a 51.1- English; 69.3- English; 45.9-French; 4.1 - French; 3.0 - Others 26.6 - Others Speaking neither English nor French (%)a 0.1 2.3 (%)b 1.2 22.8 Rural Population (%) b 28.4 14.9 Dependency ratio (%)a 61.1 57.8 Number of Live Births (2012)c 984 136,777

a = Source: , 2011 Census b = Source: Statistics Canada, 2006 Census c = Source: Ontario Vital Statistics Live Birth Data, Population Estimates, Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [May 13, 2013] See the glossary for definitions.

Fig. 2. Population pyramid for the PHU and Ontario

Porcupine Health Unit Ontario

> 85 years > 85 years 80 to 84 years 80 to 84 years 75 to 79 years 75 to 79 years 70 to 74 years 70 to 74 years 65 to 69 years 65 to 69 years 60 to 64 years 60 to 64 years 55 to 59 years 55 to 59 years 50 to 54 years 50 to 54 years 45 to 49 years 45 to 49 years 40 to 44 years 40 to 44 years 35 to 39 years 35 to 39 years 30 to 34 years 30 to 34 years 25 to 29 years 25 to 29 years 20 to 24 years 20 to 24 years 15 to 19 years 15 to 19 years 10 to 14 years 10 to 14 years 5 to 9 years 5 to 9 years 0 to 4 years 0 to 4 years

4,000 3,500 3,000 2,500 2,000 1,500 1,000 500 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 600 500 400 300 200 100 0 100 200 300 400 500 600 male Population female male Population (000s) female Source: Statistics Canada, 2011 Census

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section 2 SELECTED SOCIAL DETERMINANTS OF HEALTH

Table 2. Selected social determinants of health

Variable PHU % Ontario % Educationa Less than High School 34.4 22.2 High School 23.6 26.8 Apprenticeship or trades certificate or diploma 12.1 8.0 College, CEGEP or other non-university 20.0 18.4 certificate or diploma University certificate or diploma below the 1.9 4.1 bachelor level University certificate, diploma or degree 8.0 20.5 Unemployment rateb 7.4 7.8 Total population under low income cut-offa Both sexes 14.7 12.1 Males 13.7 10.2 Females 15.6 14.0 Children under low income cut-offa Both sexes 17.9 14.8 Males 17.8 14.6 Females 18.0 15.0 Lone parent familiesa 14.6 15.8 Food insecurity (moderate and severe)c 7. 2 7.7 Cost of the Nutritious Food Basket ($)d $197.98 $183.10

a = Source: Statistics Canada, 2006 Census b = Source: Labour Force Survey (special tabulations), Statistics Canada, 2011. Available from: http://www5.statcan.gc.ca/cansim/a26?Lang=eng&retrLang=eng&id=1095324&paS er=&pattern=&stByVal=1&p1=1&p2=-1&tabMode=dataTable&csid= c = Source: Statistics Canada, Canadian Community Health Survey (CCHS), 2007/2008. Available from: http://www.statcan.gc.ca/pub/82-221-x/2013001/tblstructure/2nm/2lw/lw2hfi-eng.htm d = Source: Porcupine Health Unit, 2012 See the glossary for definitions.

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The cost of the nutritious food basket in the Porcupine Health Unit area is $14.88 more expensive than the cost of the same basket across the province.

Please note, housing information is not available on a health unit- wide level. However, snapshots of available data are provided here to give a sense of the current picture.

Table 3. Housing information

Variable Local Ontario Homeownership rate a Timmins – 70.3% Cochrane – 76.4% 71.4% Kapuskasing – 66.2% Hearst – 56.2% Average monthly shelter cost for Timmins – $930 households a Cochrane – $778 $1,181 Kapuskasing – $740 Hearst – $778 Percentage of households spending 30% Timmins – 19.1% or more of 2010 total income on shelter Cochrane – 16.7% 27% costs a Kapuskasing – 15.8% Hearst – 21.9% Percentage of households reporting Timmins – 10.5% dwelling in need of major repair a Cochrane – 15.1% 6.6% Kapuskasing – 6.2% Hearst – 11.8% *Number of homeless people in Timmins At risk: 501 in January 2011 b Absolute: 219 Total: 720

a = Source: Statistics Canada, 2011 National Household Survey. Available from: http:// www12.statcan.gc.ca/nhs-enm/2011/as-sa/fogs-spg/?Lang=E b = Source: Kauppi C, Pallard H, Lemieux S, Nkosi TM; Homelessness in Timmins, January 2011 Final Report; Poverty, Homelessness and Migration Centre for Research in Social Justice and Policy, Laurentian University, Sudbury, Ontario; 2012 * = 26% of homeless under age of 9 See the glossary for definitions.

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section 3 MORTALITY

Leading Causes of Death Table 4. Leading causes of death, PHU and Ontario, 2005-09 Cause of death % of all deaths PHU rank Ontario rank Ischaemic heart disease 17.1 1 1 Cancer of the lung and bronchus 8.1 2 2 Chronic lower respiratory diseases 5.2 3 5 Cerebrovascular disease 5.2 4 3 Dementia & Alzheimer Disease 4.1 5 4 Diabetes 3.6 6 7 Cancer of colon, rectum, anus 3.3 7 6 Cancer of lymph, blood & related 2.6 8 8 Intentional self-harm 2.6 9 17 Diseases of urinary system 2.0 10 11 Source: Ontario Mortality Data, Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [July 18, 2013].

Unlike the rest of the province, intentional self-harm is among the top ten leading causes of death in the Porcupine Health Unit area.

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Fig. 3. Age-standardized rate per 100,000 for selected causes of death, PHU and Ontario, 2005–07

700

n o

i 600

t

a

l u

p 500

o

p

0

0 400

0

,

0 0

1 300

r

e

p

e 200

t

a R 100

0 All Cancers IIsscchemiic HeHeaarrtt RRespirattoorryy UnUniinnttenttionaional l Suicides All Causes Disease Diseases Injuries All Cancers Disease Diseases Injuries Suicides All Causes ■ PHU 189.4 112.7 58.7 33.3 15.0 669.4 ■ Ontario 159.1 86.9 41.3 23.4 7.7 521.8

Source: Statistics Canada, CANSIM Table 102-4309: Mortality and potential years of life lost, by selected causes of death and sex, three-year average, CANSIM database. (accessed: 2013-10-23). See the glossary for definitions.

Note that the Porcupine Health Unit area is statistically significantly higher in all categories, including those that have a preventable component.

Unintentional injuries include transport crashes, falls, poisoning, drowning and fires.

Table 5. Mortality from cancer, PHU and Ontario, 2003-09

Porcupine Health Unit Ontario Age- Age- # of standardized standardized Variables deaths rate/100,000 # of deaths rate/100,000 All cancers* 1,516 201.7 175,798 161.5 Breast 107 26.5 13,355 22.2 Cervical 12 3.0 1,078 2.0 Colorectal* 179 23.2 21,598 19.5 Lung* 437 58.1 43,324 40.6 Prostate 80 25.8 9,561 21.0 Liver 23 3.0 3,169 3.0

Source: Cancer Care Ontario (Ontario Cancer Registry), SEER*Stat Release 9 (November 2012) - OCRIS (May 2012)

* Statistically significantly higher in the Porcupine Health Unit area than the Ontario provincial rate.

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Table 6. Mortality from alcohol-related diseases* (excluding external causes), PHU and Ontario, 2003–09

Porcupine Health Unit Ontario Age- Age- standardized standardized Year Cases rate/100,000 Cases rate/100,000 2003-2009 76 10.6 5,627 5.3

Source: Ontario Mortality Data (Data Years 2003-09), Ontario Ministry of Health and Long- Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 23, 2013]. * Includes the following ICD-10 codes: F10 (Mental and behavioural disorders due to use of alcohol), G31.2 (Degeneration of nervous system due to alcohol), G62.1 (Alcoholic polyneuropathy), I42.6 (Alcoholic cardiomyopathy), K29.2 (Alcoholic gastritis), K70 (Alcoholic liver disease, including cirrhosis), K85.2 (Alcohol-induced acute pancreatitis), K86.0 (Alcohol- induced chronic pancreatitis).

The list of conditions came from the Canadian Institute for Health Information preventable mortality indicator. These PHU rates are statistically higher than the Ontario ones.

Mortality from alcohol-related diseases for the Porcupine Health Unit area is significantly higher than the rest of the province. This fits with higher than provincial drinking rates in the Porcupine Health Unit area (see section 5 for heavy drinking statistics).

Life Expectancy Table 7. Life expectancy at birth, PHU and Ontario

Porcupine Health Unit Ontario Males (years) 75.2 79.2 Females (years) 80.3 83.6

Source: Statistics Canada. 2013. Health Profile. Statistics Canada Catalogue No. 82-228- XWE. Ottawa. Released April 15, 2013. http://www12.statcan.gc.ca/health-sante/82-228/ index.cfm?Lang=E See the glossary for definitions.

Residents in the Porcupine Health Unit area have a lower life expectancy than in the province as a whole.

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Potentially Avoidable Mortality Table 8. Potentially avoidable mortality from preventable and treatable causes per 100,000 population, PHU and Ontario, 2006-09 (combined)

Porcupine Health Unit Ontario

Both sexes Both sexes combined Male Female combined Male Female Potentially avoidable 279.3 355.7 202.6 172.9 218.0 130.6 mortality Avoidable mortality from preventable 177.6 239.9 115.0 107.7 146.0 71.5 causes Avoidable mortality 101.7 115.8 87.6 65.2 71.9 59.0 from treatable causes

Source: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates), 2006/2008. CANSIM table no.: 102-4311. See the glossary for definitions.

As noted above, the Porcupine Health Unit potentially avoidable mortality rates are statistically significantly higher than the provincial rates.

Injury-Related Mortality Table 9. Mortality due to intentional self-harm, PHU and Ontario, crude rates per 100,000 population by age group, 2005-09 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 0.0 0.0 0.0 0.0 0.0 0.0 5 to 9 0.0 0.0 0.0 0.0 0.0 0.0 10 to 19 54.7 3.3 60.2 2.5 49.4 4.1 20 to 44 32.4 9.8 15.4 4.7 48.9 14.9 45 to 64 14.0 12.5 3.2 6.3 24.1 18.8 65 to 79 20.1 9.1 0.0 4.1 42.5 14.8 80+ 7.0 9.8 0.0 3.4 19.4 21.1 All ages 24.6 8.5 14.4 4.2 34.7 12.9

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

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Suicide rates, expressed in the table as intentional self-harm, are significantly higher in the Porcupine Health Unit. For all ages and genders the mortality rate is 3 times higher than the province of Ontario. Among youth, age 10 to 19, the difference is even more striking: for females, the rate is 24 times higher and for males, the rate is 12 times higher.

Table 10. Mortality due to land transport crashes, PHU and Ontario, crude rates per 100,000 population by age group, 2005-09 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 4.1 1.0 0.0 1.2 8.2 0.8 5 to 9 3.9 0.9 8.1 1.0 0.0 0.8 10 to 19 9.4 6.0 9.5 3.8 9.3 8.0 20 to 44 11.0 6.6 2.8 3.2 19.0 10.0 45 to 64 10.1 5.9 4.8 3.8 15.0 8.1 65 to 79 8.9 8.3 0.0 6.1 18.9 10.9 80+ 14.1 14.8 11.1 9.7 19.4 23.9 All ages 9.6 6.2 4.5 3.8 14.7 8.6

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

Rates of land transport crashes are higher in the Porcupine Health Unit area than the province.

Table 11. Mortality due to falls, PHU and Ontario, crude rates per 100,000 population by age group, 2005-09 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 0.0 0.3 0.0 0.2 0.0 0.5 5 to 9 0.0 0.0 0.0 0.0 0.0 0.0 10 to 19 1.6 0.3 0.0 0.1 3.1 0.5 20 to 44 0.7 0.6 1.4 0.2 0.0 1.0 45 to 64 3.9 3.4 3.2 1.8 4.5 5.1 65 to 79 17.8 24.6 12.7 19.0 23.6 31.0 80+ 169.0 211.2 188.1 201.1 135.7 229.1 All ages 8.7 11.2 10.4 11.7 7.1 10.7

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

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Mortality due to falls is lower in the Porcupine Health Unit area than the province. In contrast, hospitalization rates for falls in our region are higher (see section 6).

Table 12. Mortality due to unintentional drowning, PHU and Ontario, crude rates per 100,000 population by age group, 2005-09 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 8.3 1.1 0.0 0.6 16.3 1.6 5 to 9 7.7 0.6 8.1 0.4 7.4 0.8 10 to 19 4.7 0.7 3.2 0.2 6.2 1.2 20 to 44 2.8 0.7 0.0 0.2 5.4 1.2 45 to 64 2.3 0.9 0.0 0.4 4.5 1.5 65 to 79 2.2 1.2 0.0 0.6 4.7 2.0 80+ 0.0 1.7 0.0 1.2 0.0 2.6 All ages 3.4 0.9 0.9 0.4 5.8 1.4

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

Mortality due to unintentional drowning is significantly higher among males and children in the Porcupine Health Unit area than in the province as a whole.

Table 13. Mortality due to unintentional suffocation and foreign body, PHU and Ontario, crude rates per 100,000 population by age group, 2005-09 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 4.1 1.0 8.3 0.8 0.0 1.2 5 to 9 0.0 0.1 0.0 0.0 0.0 0.2 10 to 19 0.0 0.1 0.0 0.0 0.0 0.1 20 to 44 0.7 0.3 0.0 0.1 1.4 0.5 45 to 64 1.6 0.8 0.0 0.6 3.0 1.1 65 to 79 2.2 3.2 0.0 3.1 4.7 3.3 80+ 21.1 15.1 11.1 13.3 38.8 18.1 All ages 1.8 1.3 0.9 1.2 2.7 1.4

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

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Unintentional suffocation due to a foreign body is a bigger problem in the Porcupine Health Unit area for two groups in particular: girls under the age of 4 and men over the age of 80.

Table 14. Mortality due to unintentional poisoning, PHU and Ontario, crude rates per 100,000 population by age group, 2005-2009 (combined)

Both sexes combined Females Males Age group PHU ON PHU ON PHU ON 0 to 4 0.0 0.1 0.0 0.1 0.0 0.2 5 to 9 0.0 0.0 0.0 0.1 0.0 0.0 10 to 19 1.6 0.8 3.2 0.5 0.0 1.0 20 to 44 6.9 5.1 4.2 2.7 9.5 7.6 45 to 64 10.1 6.1 11.3 4.1 9.0 8.2 65 to 79 0.0 2.2 0.0 1.7 0.0 2.8 80+ 0.0 4.8 0.0 4.5 0.0 5.5 All ages 5.4 4.0 5.0 2.5 5.8 5.5

Source: Ontario Mortality Data (Data Years 2005-2009), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2013].

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Mortality Counts and Rates for Selected Chronic Diseases All Cardiovascular Diseases

Fig. 4. Age-standardized mortality rates and mortality counts for cardiovascular disease, PHU and Ontario, 2003–09

300

250

200

150

100

Rate per 100,000 population 50 0 2003 2004 2005 2006 2007 2008 2009

■ PHU rate 252.6 271.7 228.2 230.0 222.7 200.4 203.6 ■ Ontario rate 188.0 175.8 169.8 155.5 150.6 144.1 139.2 Porcupine count 252 279 246 250 245 233 238 Ontario count 28,104 27,182 27,282 26,013 26,102 25,886 25,840 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Mortality from cardiovascular disease - age standardized rate (both sexes combined) 2009. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/ Chronic-Disease-Mortality.aspx See the glossary for definitions.

Age-standardized mortality rates for cardiovascular disease in the Porcupine Health Unit area are consistently statistically significantly higher than for Ontario.

Cerebrovascular Diseases

Due to the relatively small counts of cerebrovascular diseases reported within the area, the mortality rate has been inconsistent over the past few years (Fig. 5). These differences are not statistically significant.

Chronic Obstructive Pulmonary Disease (COPD)

COPD mortality rates are consistently higher in the Porcupine Health Unit area when compared to the province’s (Fig. 6). These differences are statistically significant. This could relate to the comparatively higher smoking rates in our region (see section 5).

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Fig. 5. Age-standardized mortality rates and hospitalization counts for cerebrovascular disease, PHU and Ontario, 2003–09

n 50 ti o

40 opul a p

30 00, 00 0

20 per 1 te a

R 10 2003 2004 2005 2006 2007 2008 2009 ■ PHU rate 42.6 44.6 33.1 41.6 32.4 27.8 33.5 ■ Ontario rate 38.7 36.2 33.3 30.8 30.1 28.2 28.5 Porcupine count 42 46 36 46 37 32 40 Ontario count 5,872 5,672 5,420 5,247 5,314 5,155 5,408 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Mortality from Cerebrovascular Disease - age standardized rate (both sexes combined) 2009. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/ Chronic-Disease-Mortality.aspx See the glossary for definitions.

Fig. 6. Age-standardized mortality rate and mortality counts for COPD, PHU and Ontario, 2003–09

n 50 ti o

ul a 40

30 00 ,0 po p 1 20 er p te a

R 10 2003 2004 2005 2006 2007 2008 2009 ■ PHU rate 33.1 43.8 42.5 27.6 38.0 37.4 31.2 ■ Ontario rate 22.6 20.5 21.6 18.9 20.5 19.8 19.3 Porcupine count 33 45 45 30 43 43 37 Ontario count 3,349 3,140 3,416 3,100 3,487 3,501 3,521 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Mortality COPD - age standardized rate (both sexes combined) 2009. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www. publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Chronic-Disease-Mortality. aspx See the glossary for definitions.

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Diabetes

Fig. 7. Age-standardized mortality rate and mortality counts for diabetes, PHU and Ontario, 2003–09

60

50

40

30

20 Rate per 100,000 population Rate

10

0 2003 2004 2005 2006 2007 2008 2009 ■ PHU rate 31.9 33.9 24.9 33.5 28.7 52.0 40.0 ■ Ontario rate 22.5 20.6 20.6 18.0 18.1 32.0 28.8 Porcupine count 33 33 26 36 32 35 27 Ontario count 3,297 3,117 3,220 2,904 3,012 3,133 2,839

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Mortality from Diabetes- age standardized rate (both sexes combined) 2009. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www. publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Chronic-Disease-Mortality. aspx See the glossary for definitions.

Although the mortality rate for diabetes in the Porcupine Health Unit area has been inconsistent in the past few years, it seems to be on the rise and also to be significantly higher than the provincial rate.

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section 4 MORBIDITY

Self-Rated Health Fig. 8. Perceived health and mental health, PHU and Ontario

80

70

60

50

40 Percentage

30

20

10

0 Perceived health, Perceived mental health, very good or excellent very good or excellent

■ PHU rate 53.3 71.9

■ Ontario rate 61.0 74.3

Source: Canadian Community Health Survey, Statistics Canada, 2009/2010

Perceived health is an indicator of overall health status. To calculate this indicator, respondents were asked to rate their health as excellent, very good, good, fair, or poor. They were also instructed that “health” means not only the absence of disease or injury, but also includes their overall physical, mental and social well-being. The figure above represents respondents who rated their health as very good or excellent.

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Hospitalization for Selected Chronic Diseases All Cardiovascular Diseases

Fig. 9. Age-standardized hospitalization rates and hospitalization counts for all cardiovascular diseases, PHU and Ontario, 2003–11

2000

1600

1200

800 Rate per 100,000 population Rate

400

0 2003 2004 2005 2006 2007 2008 2009 2010 2011 ■ PHU rate 1,792.3 1,772.0 1,661.6 1,650.6 1,547.3 1,535.2 1,460.3 1,476.0 1,384.7 ■ Ontario rate 1,008.4 988.4 932.6 875.1 826.9 804.9 772.5 757.4 733.3 Porcupine count 1,847 1,852 1,792 1,784 1,711 1,720 1,673 1,717 1,604 Ontario count 142,937 144,086 139,486 134,865 131,101 130,953 129,276 130,420 129,407 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Hospitalization for cardiovascular disease - age standardized rate (both sexes combined) 2003-2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/ Chronic-Disease-Hospitalization.aspx See the glossary for definitions.

Overall, the rates of cardiovascular disease morbidity are higher in the Porcupine Health Unit area than those for all of Ontario. In the Porcupine Health Unit area, similar to the rest of Ontario, the rates of cardiovascular disease hospitalization are gradually declining over time.

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Cerebrovascular Disease

Fig. 10. Age-standardized hospitalization rates and hospitalization counts for COPD, PHU and Ontario, 2003–11 175 n ti o 150 ul a

125

100 00 ,0 po p 1 er

p 75 te a

R 50 2003 2004 2005 2006 2007 2008 2009 2010 2011 ■ PHU rate 168.4 158.5 128.3 144.4 141.4 125.0 145.8 134.0 137.7 ■ Ontario rate 124.8 120.6 118.4 114.9 109.5 107.5 102.7 100.8 98.1 Porcupine count 173 164 138 155 159 140 167 156 163 Ontario count 17,918 17,855 17,981 17,953 17,606 17,702 17,519 17,633 17,571

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Hospitalization for cerebrovascular disease - age standardized rate (both sexes combined) 2003-2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/ Chronic-Disease-Hospitalization.aspx See the glossary for definitions. Chronic Obstructive Pulmonary Disease (COPD)

Fig. 11. Age-standardized hospitalization rates and hospitalization counts for COPD, PHU and Ontario, 2003–11

n 500 ti o a 400

300 00 ,0 popu l 1

er 200 p te a

R 100 2003 2004 2005 2006 2007 2008 2009 2010 2011 ■ PHU rate 395.6 422.5 507.0 335.8 367.3 366.4 361.7 322.9 319.1 ■ Ontario rate 141.7 152.1 164.9 147.5 143.8 140.7 136.3 132.1 136.5 Porcupine count 395 435 532 359 401 414 415 375 379 Ontario count 20,121 22,309 24,902 22,907 23,006 23,185 22,992 22,968 24,484 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Hospitalization for Chronic Obstructive Pulmonary Disease - age standardized rate (both sexes combined) 2003-2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/ Pages/Chronic-Disease-Hospitalization.aspx

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The rates of hospitalization for COPD in the Porcupine Health Unit area have been consistently higher than the rest of Ontario. This is consistent with higher rates of smoking in the Porcupine Health Unit area as seen in section 5 of this report.

Asthma

Fig. 12. Age-standardized hospitalization rates and hospitalization counts for asthma, PHU and Ontario, 2003-11 200 n ti o 150 ul a

100 00 ,0 po p 1 er p 50 te a R

0 2003 2004 2005 2006 2007 2008 2009 2010 2011 ■ PHU rate 395.6 422.5 507.0 335.8 367.3 366.4 361.7 322.9 319.1 ■ Ontario rate 141.7 152.1 164.9 147.5 143.8 140.7 136.3 132.1 136.5 Porcupine count 395 435 532 359 401 414 415 375 379 Ontario count 20,121 22,309 24,902 22,907 23,006 23,185 22,992 22,968 24,484

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Hospitalization for Asthma - age standardized rate (both sexes combined) 2003-2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http:// www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Chronic-Disease- Hospitalization.aspx. See the glossary for definitions.

The rate for asthma has been calculated using the ICD-10 Codes: J45. For more information, see the methodology section.

Asthma hospitalization rates in the Porcupine Health Unit area are consistently higher than the provincial rates. This can be correlated with relatively high smoking and environmental tobacco smoke exposure in our region as compared to Ontario (see section 5).

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Diabetes

Fig. 13. Age-standardized hospitalization rates and counts for diabetes, PHU and Ontario, 2003–11

250

200

150

100

Rate per 100,000 population Rate 50

0 2003 2004 2005 2006 2007 2008 2009 2010 2011 ■ PHU rate 183.3 168.3 193.8 218.5 227.5 225.5 210.7 184.9 206.1 ■ Ontario rate 85.0 88.4 88.0 91.9 91.5 87.4 83.8 81.8 82.8 Porcupine count 177 171 195 223 237 219 221 178 194 Ontario count 11,296 11,962 12,179 13,018 13,138 12,759 12,480 12,357 12,745 Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Hospitalization for Diabetes - age standardized rate (both sexes combined) 2003-2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Chronic- Disease-Hospitalization.aspx. See the glossary for definitions.

Within the Porcupine Health Unit area, the hospitalization rates for diabetes have remained consistently higher than the Ontario rates.

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Prevalence for Selected Chronic Diseases Table 14. Prevalence for selected chronic diseases, PHU and Ontario

Year PHU ON Asthma a 2003 10.1 8.3 2005 9.6 8.0 2007-08 10.4 8.3 2009-10 12.0 8.4 Diabetes a 2003 8.1 4.6 2005 7.6 4.8 2007-08 8.5 6.2 2009-10 7.1 6.9 Heart Disease a 2003 7. 2 5.3 2005 8.9 4.8 2007-08 5.8 5.0 2009-10 7.0 4.9 Arthritis b 2003 23.5 17.5 2005 22.5 17.1 2007-08 23.6 17.4 2009-10 24.0 17.3

a = Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Self-reported prevalence of asthma, diabetes, heart disease - age standardized rate (both sexes combined) 2003 - 2009-10. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www. publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Self-Reported-Chronic- Health-Problems.aspx b = Source: Statistics Canada. Table105-0502 - Health indicator profile, two year period estimates, by age group and sex, Canada, provinces, territories, health regions (2012 boundaries) and peer groups, occasional, CANSIM (database). (accessed: 2013-07-30). Retrieved from http://www5.statcan.gc.ca/cansim/ a26?lang=eng&retrLang=eng&id=1050502&pattern=&csid= Note: The original source of these data is the Canadian Community Health Survey (CCHS), a self-reported survey. For more information on the CCHS, see “data sources” under the “methodology” chapter.

Among self-reported chronic diseases in the above table, the Porcupine Health Unit area has trended towards higher prevalence than the province.

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Mental Health There is a lack of available and reliable data on mental health for the residents of the Porcupine Health Unit area. Given the burden of mental illness in our area, the health unit will be actively addressing this in future reports.

Self-Reported Mental Health Indicators

Table 15. Self-reported mental health indicators, PHU and Ontario, 2007-12

Year PHU % ON % Sense of community belonging, strong or somewhat strong 2007-08 72.2 66.4 2009-10 74.5 67.4 2011-12 67.9 67.5 Self-perceived mental health, very good or excellent 2007-08 67.4 74.6 2009-10 71.9 74.3 2011-12 69.6 72.4 Life satisfaction, satisfied or very satisfied 2007-08 92.4 90.7 2009-10 88.1 91.5 2011-12 92.9 91.8 Self-perceived life stress, a bit or extremely stressful 2007-08 16.8 22.2 2009-10 24.7 24.0 2011-12 22.2 22.8

Sources: Statistics Canada. Canadian Community Health Survey. Table105-0502 - Health indicator profile, two year period estimates, by age group and sex, Canada, provinces, territories, health regions (2012 boundaries) and peer groups, occasional, CANSIM (database) (accessed: 2013-07-30). Available from: http://www5.statcan.gc.ca/cansim/a26?lan g=eng&retrLang=eng&id=1050502&pattern=Sense+of+Belonging&tabMode=dataTable&srchL an=-1&p1=1&p2=-1 Note: The original source of these data is the Canadian Community Health Survey (CCHS) - a self-reported survey. For more information on the CCHS, see “data sources” under the “methodology” chapter. While it is encouraging that people in the Porcupine Health Unit area enjoy a high level of self-perceived good mental health and life satisfaction, this is in stark contrast to the following tables on mental health hospitalization. As will be seen below, the rates of mental health hospitalization and self-reported substance use are higher in the Porcupine Health Unit area than those for all of Ontario.

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Table 16. Prevalence of self-reported mood disorders (such as depression, bipolar disorder, mania or dysthymia) (%), PHU and Ontario, by gender, 2003-12

Porcupine Health Unit Ontario Both sexes Both sexes Year combined Females Males combined Female Males 2003-12 7.3 8.7 5.8* 6.7 8.6 4.8

Source: Canadian Community Health Survey (CCHS) 2003 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Note: Cells with an asterisk (*) should be interpreted with caution due to high sampling variability.

Prevalence of self-reported mood disorders in the Porcupine Health Unit area versus Ontario seem similar, however, this is in sharp contrast to the three times higher suicide rates reported in section 3.

Table 17. Prevalence of self-reported anxiety disorders (such as a phobia, obsessive-compulsive disorder or a panic disorder) (%), PHU and Ontario, by gender, 2003-12

Porcupine Health Unit Ontario Both sexes Both sexes Year combined Females Males combined Female Males 2003-12 5.9 7.4 4.4 5.2 6.7 3.7

Source: Canadian Community Health Survey (CCHS) 2003 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC

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Table 18. Self-reported illicit drug-use (%), PHU and Ontario, age 12+, 2009-12 (combined)

Self-reported proportion of the population who… PHU (%) ON (%) … have ever used an illicit drug 50.6 39.8 … have ever used cannabis 49.8 39.4 … have ever used amphetamines (speed) 4.4 2.3

Source: Canadian Community Health Survey (CCHS) 2009/2010 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Note: Other variables related to illicit drug use were available, but are not reported here due to high sampling variability.

These numbers should be interpreted as under-representative of the percentage of the population using illicit drugs. The reason these are likely under-reported is because of the self-reported nature of the data.

Mental Health Hospitalization

Table 19. Age-standardized mental health hospitalization rate per 100,000 population, both sexes and broken down by sex, PHU and Ontar io, 2009 –11

Porcupine Health Unit Ontario 2009 2010 2011 2009 2010 2011 Both sexes 1,369 1,501 1,494 392 409 442 Female 1,324 1,514 1,432 389 403 434 Male 1,419 1,493 1,552 395 414 450

Source: Canadian Institute for Health Information (CIHI), Health Indicators Interactive Tool: PHU and Ontario - Mental Health Hospitalization [cited July 29, 2013]. Available from http:// www.cihi.ca/hirpt/search.jspa?href=http%3A//www.cihi.ca/hirpt/SearchServlet See the glossary for definitions.

The rates of mental health hospitalizations in the Porcupine Health Unit area are three to five times higher than the Ontario provincial rate. While this may represent an actual difference in disease rates between both jurisdictions, other factors — such as differing health service delivery models and variations in the availability and accessibility of specialized, ambulatory and community-based mental health facilities — play a role in hospitalization data.

The limitation of this indicator is that it does not provide an estimate of the complete burden of mental illness in communities because not all cases of mental illness warrant hospitalization. However, it provides a proxy to gauge the impact of mental illness in the community.

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Community Health Status Report 2014

section 5 RISK FACTORS

Smoking Table 20. Selected smoking indicators, PHU and Ontario

Porcupine Health Unit Variable (%) Ontario (%) Adult current smoking rate a 2007/08 29.1 20.3 2009/10 25.9 18.9 2011/12 28.0 19.2 Adult daily smoking rate a 2007/08 25.0 15.9 2009/10 18.1 14.5 2011/12 24.4 14.4 Second-hand smoking exposure at home a 2007/08 9.4 5.8 2009/10 7.4 5.2 2011/12 7. 2 4.5 Youth who have never smoked a whole cigarette b 2007/08 65.3 80.8 2009/10 83.4 82.1 Tobacco vendors in compliance with youth access legislation c 2011 99 94 2012 84 96

a = Source: Statistics Canada, Canadian Community Health Survey (CCHS). 2007/2008 and 2009/2010, CANSIM table 105-0502 b = Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Youth Smoking Abstinence - crude rate (both sexes combined) 2007/08 and 2009/10. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 9]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/ Pages/Health-Behaviours---Smoking.aspx Original Source - Canadian Community Health Survey c = Source: Tobacco Information System (TIS), 2011-2012 See the glossary for definitions.

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Overall, smoking and exposure to second-hand smoke rates are higher in the Porcupine Health Unit area than overall across the province

Table 21. Exposure to second-hand smoke (every day or almost every day) in vehicles and public places (%), youth aged 12-19, PHU and Ontario, 2003-12

In vehicles In public places PHU Ontario PHU Ontario 2003 45.2* 22.5 45.9* 27.5 2005 23.1† 18.1 14.4* 23.9 2007/2008 32.1* 16.2 29.0 † 20.6 2009/2010 27.4 † 11.5 — 21.0 2011/2012 19.2 † 10.2 23.4† 23.9 2003-2012 29.5* 15.6 26.7 23.3

Source: Canadian Community Health Survey (CCHS) 2003 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Notes: Significant differences between Porcupine Health Unit and ON are noted with an asterisk (at p < 0.05). Cells with a dagger (†) should be interpreted with caution due to high sampling variability. ‘—’ indicates that results are suppressed due to extreme sampling variability.

In May 2006, legislation restricting smoking in public indoor space was enacted in Ontario, followed by legislation restricting smoking in vehicles with children under age 16 in January 2009. While these may affect the overall downward trends, the year-to-year variability in the Porcupine Health Unit area numbers, make it difficult to link the yearly changes to the legislation.

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Alcohol Table 22. Selected alcohol indicators, PHU and Ontario

Porcupine Health Unit Ontario Variable (%) (%)

Compliance with the Low-Risk Drinking Guidelinesa

Compliance with Guideline #1 75.6 95.0

Compliance with Guideline #2 50.3 81.0 Compliance with both guidelines 47. 2 59.0

Compliance with neither guideline 21.3 17.0

Heavy drinking (5 or more drinks on one occasion, at least once a month)b

2007/2008 21.5 15.9 2009/2010 21.0 15.9 2011/2012 23.7 16.9

a = Source: Compliance with Low-Risk Alcohol Drinking Guidelines: Supplementary Data Tables for the 2011 CMOH Report (Released February 7, 2013) b = Source: Statistics Canada, Canadian Community Health Survey (CCHS). 2007/2008 and 2009/2010, CANSIM table 105-0502 See the glossary for definitions.

Guideline #1: Reduce your long-term health risks by drinking no more than:

• 10 drinks a week for women, with no more than 2 drinks a day most days • 15 drinks a week for men, with no more than 3 drinks a day most days Plan non-drinking days every week to avoid developing a habit.

Guideline #2: Reduce your risk of injury and harm by drinking no more than 3 drinks (for women) and 4 drinks (for men) on any single occasion.

Plan to drink in a safe environment. Stay within the weekly limits outlined in Guideline #1.

Drinking considered risky from a health perspective (e.g., binge or higher than recommended) is more of an issue in the Porcupine Health Unit area than the rest of Ontario.

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Table 23. Proportion exceeding either of Low-Risk Alcohol Drinking Guidelines #1 or #2, PHU and Ontario, 2003-12 (combined)

Porcupine Health Unit Ontario Both Both sexes sexes Age group combined Females Males combined Females Males 19 to 44 68.7* 59.8* 77.1* 52.1 42.2 61.4 45 to 64 41.4* 24.4 57.8* 36.1 25.0 47.7 65+ 20.8 10.3* 33.3 22.7 14.6 32.8 Total 49.7* 36.8* 62.5* 41.5 31.0 52.3

Source: Canadian Community Health Survey (CCHS) 2003 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Note: Significant differences between Porcupine Health Unit and ON are marked with an asterisk (at p < 0.05).

“Risky” drinking numbers are comparatively high in young adults in the Porcupine Health Unit area.

Table 24. Proportion of those reporting binge drinking, Porcupine Health Unit and Ontario, 2003-2012 (Combined)

Porcupine Health Unit Ontario Both Both sexes sexes Age group combined Females Males combined Females Males 12 to 19 17.5* 14.8† 20.2† 11.8 9.3 14.1 20 to 44 36.2* 21.5* 50.6* 23.8 13.9 33.8 45 to 64 16.8* 5.0† 27.8* 14.0 6.3 21.9 65+ 6.0* — 11.6* 4.3 1.4 8.0 Total 22.5* 11.8* 33.2 16.4 9.0 24.1

Source: Canadian Community Health Survey (CCHS) 2003 - 2011/2012, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Notes: Significant differences between Porcupine Health Unit and ON are marked with an asterisk (at p < 0.05). Cells with a dagger (†) should be interpreted with caution due to high sampling variability.

Note the proportion of those drinking to binge levels is higher in the Porcupine Health Unit area than Ontario overall, most pronounced for males, between ages of 20-44. Females in this age group are significantly higher as well.

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Physical Activity, Nutrition and Healthy Weights Table 25. Self-reported physical activity, nutrition and healthy weights indicators, PHU and Ontario

Porcupine Variable Health Unit % Ontario % Physical activity (moderately active or active) 2007/08 50.5 49.8 2009/10 55.5 50.5 2011/12 56.0 53.8 Adult body mass index (overweight or obese) 2007/08 58.3 51.6 2009/10 62.7 52.0 2011/12 58.6 52.6 Vegetable and fruit consumption (5 or more servings per day) 2007/08 38.5 41.3 2009/10 44.1 43.2 2011/12 35.5 38.9

Source: Statistics Canada, Canadian Community Health Survey (CCHS). 2007/2008 and 2009/2010, CANSIM table 105-0502. See the glossary for definitions. See the methodology chapter data sources and limitations due to self-reported data.

While self-reported obesity seems only moderately higher in the Porcupine Health Unit area as compared to the province, this may reflect a bias in the data that occurs with self-reporting. When one looks at the relatively high rates of diabetes (see section 3) in the PHU area compared to the province, one would expect higher relative rates of obesity.

Bike Helmet Use Table 26. Bike helmet use, self-reported, ages 12+, PHU and Ontario

Population aged 12 and over who always wore a bike helmet PHU (%) ON (%) 2009/10 21.2 34.0 2011/12 19.8 36.1

Source: Canadian Community Health Survey, Statistics Canada, 2009/2010. CANSIM table no.: 105-0502 29 Community Health Status Report 2014

While several provinces have mandated the use of bicycle helmets, in Ontario the legislation applies only to children under 18.

Among those aged 12 and over who reported always using a bike helmet, the proportion in the Porcupine Health Unit area is less than that of Ontario.

Seatbelt Use Table 27. Proportion of drivers reporting always wearing a seatbelt, PHU and Ontario, 2009-10

Porcupine Health Unit Ontario Both sexes Both sexes Age group combined Females Males combined Females Males 12 to 19 98.2 100.0* 97.3 95.6 97.0 94.2 20 to 44 91.5 91.7 91.3 93.7 96.9 90.8 45 to 64 95.4 98.2 93.1 96.0 98.3 93.9 65+ 96.1 96.7 95.6 96.9 98.0 95.9 Total 94.2 95.4 93.1 95.1 97.6 92.8

Source: Canadian Community Health Survey (CCHS) 2009/2010, Statistics Canada, Ontario Share File, Distributed by Ontario MOHLTC Notes: Significant differences between Porcupine Health Unit and ON are noted with an asterisk (at p < 0.05).

Overall seatbelt use in the Porcupine Health Unit area is comparable to the province.

High Blood Pressure Table 28. Prevalence of high blood pressure, self-reported, PHU and Ontario

Porcupine Health Unit (%) Ontario (%) 2007/2008 19.9 16.5 2009/2010 23.2 17.4 2011/2012 23.1 17.6

Source: Statistics Canada, Canadian Community Health Survey (CCHS). 2007/2008 and 2009/2010, CANSIM table 105-0502

Self-reported high blood pressure is higher in the Porcupine Health Unit area than the province-wide number.

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section 6 HEALTHCARE SYSTEM INDICATORS

Regular Medical Doctor Table 29. Regular medical doctor, self-reported ages 12+ , PHU and Ontario, 2003-11 (%)

2003 2005 2007 2008 2009 2010 2011 PHU (%) 85.3 78.3 78.3 81.2 82.5 84.5 84.9 Ontario (%) 91.8 91.2 90.5 91.0 91.5 90.8 90.9

Source: Canadian Community Health Survey, Statistics Canada, 2003 – 2011

In the Porcupine Health Unit area, the percentage of the population reporting a regular medical doctor is less than the overall Ontario percentage. These numbers appear to overestimate those with access to a regular family doctor in our area, based on commonly cited needs for family doctors in the region due, perhaps, to a reporting bias in the Canadian Community Health Survey (CCHS).

General/Family/Specialist Physician Rate Table 30. General/family and specialist physicians rate per 100,000 population, PHU and Ontario, 2000-10

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 General/family physician rate PHU 84 82 ­— 96 99 98 100 101 98 110 107 Ontario 85 85 85 85 86 85 84 85 86 90 92 Specialist physician rate PHU 27 26 — 28 28 27 28 30 30 35 34 Ontario 96 95 95 92 92 92 90 92 92 97 97

Source: Canadian Institute for Health Information (CIHI), Health Indicators Interactive Tool: PHU and Ontario - General/Family Physician rate and Specialist Physician rate [cited July 29, 2013]. Available from http://www.cihi.ca/hirpt/search.jspa?href=http%3A//www.cihi.ca/hirpt/ SearchServlet Note: — = Data not available 31 Community Health Status Report 2014

In the Porcupine Health Unit area, the specialist rate per 100,000 population is significantly lower than the provincial rates. By contrast, the general/family physician rate in the Porcupine Health Unit area in recent years seems to be increasing.

Wait Time for Hip Fracture Surgery Table 31. Hip fracture patients aged 65 and older who underwent hip fracture surgery within 48 hours of admission to hospital, PHU and Ontario, 2009-11 (risk-adjusted percentage)

PHU (%) Ontario (%) 2009 76.6 77.8 2010 80.4 78.7 2011 79.5 81.3

Source: Statistics Canada. 2013. Health Profile. Statistics Canada Catalogue No. 82-228- XWE. Ottawa. Released April 15, 2013. Available from: http://www12.statcan.gc.ca/health- sante/82-228/index.cfm?Lang=E

This indicator is comparable to the rest of the province.

Table 32. Hospitalization for falls in seniors 65+, admitted through the ed, PHU and Ontario, crude rates per 100,000 population, 2003-2011

Both sexes combined Females Males Year PHU Ontario PHU Ontario PHU Ontario 2003 1,518.9 1, 277.0 1,902.9 1,584.3 1,041.9 873.0 2004 1,399.6 1,311.5 1,688.2 1,627.9 1,037.9 895.9 2005 1,717.7 1,331.9 2,254.6 1,634.1 1,042.9 935.8 2006 1,620.0 1,320.3 2,034.5 1,619.1 1,094.4 929.9 2007 1,472.5 1,293.3 1,840.9 1,592.0 1,010.7 905.6 2008 1,265.2 1,318.0 1,646.3 1,605.4 797.3 947.9 2009 1,396.1 1,289.5 1,725.7 1,579.2 997.6 919.2 2010 1,552.9 1,313.7 1,934.5 1,606.2 1,098.5 942.1 2011 1,539.8 1,326.3 1,938.6 1,616.3 1,070.8 960.2 2003-2011 1,497.3 1,309.4 1,884.5 1,607.0 1,021.3 924.7

Source: Ambulatory Emergency External Cause (Data Years 2003-2011), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2103]. Notes: Generally most results show a significant difference between the Porcupine Health Unit and ON rates.

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Hospitalization for falls in seniors is higher in the Porcupine Health Unit area and, consistently so, as compared to the Ontario rates. By contrast, in table 11, mortality due to falls among seniors 65 and over in the Porcupine Health Unit area appears to be lower.

Table 33. Emergency department visits for falls in seniors 65+, PHU and Ontario, crude rates per 100,000 population, 2003-11

Both sexes combined Females Males Year PHU Ontario PHU Ontario PHU Ontario 2003 6,093.6 5,033.7 7, 4 34. 3 6,000.5 4,428.0 3,762.8 2004 6,413.3 5,219.2 7, 8 35.6 6,229.7 4,630.7 3,891.7 2005 6,905.6 5,476.5 8,533.0 6,461.8 4,860.3 4,184.8 2006 6,876.3 5,422.0 8,168.9 6,415.4 5, 237.4 4,123.8 2007 6,575.3 5,439.1 7,911. 2 6,413.9 4,900.8 4,173.7 2008 6,259.4 5,558.1 7,74 8.1 6,527.8 4,431.7 4,309.6 2009 6,208.4 5,505.6 7, 0 07.8 6,550.4 5,242.2 4,170.1 2010 6,543.2 5,609.7 7,782.7 6,677.3 5,067.3 4,253.7 2011 6,968.8 5,634.7 8,283.2 6,677.8 5,423.1 4, 317.9 2003-2011 6,541.1 5,443.4 7,856.4 6,450.2 4,924.2 4,142.3

Source: Ambulatory Emergency External Cause (Data Years 2003-2011), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2103]. Notes: Generally all results show a significant difference between the PHU and ON rates. Similar to the numbers seen in table 32 above, emergency department visits in the Porcupine Health Unit area for seniors due to falls are consistently higher than Ontario.

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Emergency Room Wait Times Table 34. Emergency room wait times, Porcupine Health Unit area hospitals

Total time spent in Average time spent in emergency room emergency room [9 out of 10 patients] Minor or Minor or Complex uncomplicated Complex uncomplicated conditions conditions conditions conditions Hospital site (Hours) (Hours) (Hours) (Hours)

Provincial target — — 8 4

Provincial 5.4 2.1 10.1 4.0

Timmins & District 4.5 2.3 7.7 4.3 General Hospital*

Source: Ontario Ministry of Health and Long-term care. Current as at July 25, 2013. Accessed July 29, 2013. Available at http://www.ontariowaittimes.com/er/En/Data. aspx?LHIN=0city=timmins&pc=&dist=0&hosptID=0&str=view=1&period=0&expand=0 *Within the Porcupine Health Unit, the Timmins & District General Hospital is the only hospital required to report their ER wait time data. The other hospitals are not required to report their data. Note: The Ministry of Health and Long-Term Care updates the wait time information on the fourth Thursday of every month, therefore while this provides an idea of ER wait time, it is not “real-time” information.

Repeat Hospitalizations for Mental Illnesses Table 35. Percentage of patients with repeat hospitalizations for mental illnesses, PHU and Ontario

PHU (%) Ontario (%) 2008 14.8 10.5 2009 12.8 10.5 2010 15.7 10.7

Source: Canadian Institute for Health Information (CIHI), Health Indicators Interactive Tool: PHU and Ontario - Patients with repeat hospitalizations for mental illness [cited July 29, 2013]. Available from: http://www.cihi.ca/hirpt/search.jspa?href=http%3A//www.cihi.ca/hirpt/ SearchServlet

This indicator is considered an indirect measure of access to appropriate levels of care since challenges in getting appropriate care/support in the community and/or the appropriate medication can lead to frequent hospitalizations.

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Selected Screening Practices Pap smear

Table 36. Percentage of women aged 18 to 69 and when they had their last Pap smear test, PHU and Ontario, 2009-10

PHU % Ontario % Pap smear, within the last 3 years 64.9 72.9 Pap smear, 3 or more years ago 28.1 12.8 Never had a Pap smear 5.3 11.8 Pap smear, not stated 1.7 2.5 Total 100.0 100.0

Source: Canadian Community Health Survey, Statistics Canada, 2009/10. CANSIM table no.: 105-0442

Fewer women in the Porcupine Health Unit area have had a regular Pap test than provincial percentage.

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Mammography

Table 37. Percentage of women aged 50 to 69 years who received a mammogram within the last 2 years, PHU and Ontario, 2009-2010

Porcupine Health Unit Ontario Age group 2003 2005 2008 2003 2005 2008 50 to 69 years (total) 74.7 65.4 80.4 72.4 73.1 73.2

Source: Canadian Community Health Survey, Statistics Canada, 2008.CANSIM table no.: 105-0543

Women in the key target group for mammography in the Porcupine Health Unit area have received timely mammography, based on self- reported data.

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section 7 REPRODUCTIVE AND CHILD HEALTH

Reproductive Health Table 38. Number of live births by age group of the mother in the Porcupine Health Unit, 2003-2012

2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 10 to 14 1 4 1 1 2 1 1 2 1 1 15 to 19 120 109 128 130 128 140 152 131 117 118 20 to 29 473 537 592 600 647 601 632 576 598 598 30 to 39 231 238 245 271 265 266 271 265 266 257 40 to 49 7 8 7 9 7 6 10 8 12 10 Total 832 896 973 1,011 1,049 1,014 1,066 982 994 984

Source: Inpatient Discharges (Deliveries) 2003 to 2012; Ontario Ministry of Health and Long- Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2103].

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Table 39. Teen live birth rate (aged 15-19), PHU and Ontario, 1986–2011

Porcupine Health Unit Ontario # of live # of live Year births Population Rate/1,000 births Population Rate/1,000 1986 137 4,274 32.1 6,859 350,822 19.6 1987 150 4,195 35.8 6,658 350,154 19.0 1988 180 4,066 44.3 6,671 351,046 19.0 1989 165 3,993 41.3 7,191 351,883 20.4 1990 151 3,897 38.7 7, 4 07 349,769 21.2 1991 150 3,816 39.3 7, 4 6 8 343,201 21.8 1992 176 3,728 47. 2 7, 562 341,354 22.2 1993 152 3,721 40.8 7, 6 0 8 339,845 22.4 1994 159 3,662 43.4 7, 677 342,310 22.4 1995 138 3,692 37.4 7, 678 345,631 22.2 1996 121 3,754 32.2 6,950 349,850 19.9 1997 111 3,661 30.3 6,033 354,807 17.0 1998 115 3,565 32.3 6,170 363,155 17.0 1999 116 3,566 32.5 5,770 371,944 15.5 2000 95 3,484 27.3 5,253 382,282 13.7 2001 101 3,452 29.3 5,018 392,012 12.8 2002 106 3,405 31.1 4,724 398,679 11.8 2003 141 3,276 43.0 4,663 402,762 11.6 2004 129 3,217 40.1 4,294 408,867 10.5 2005 158 3,311 47.7 4,308 417, 335 10.3 2006 153 3,313 46.2 4,426 425,424 10.4 2007 172 3,310 52.0 4,598 430,006 10.7 2008 120 3,257 36.8 4,757 433,814 11.0 2009 138 3,224 42.8 4,620 433,350 10.7 2010 126 3,193 39.5 4,474 430,384 10.4 2011 111 3,098 35.8 4,129 426,476 9.7

Source: Ontario Vital Statistics Live Birth Data (Data years 1986-2011), Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2103].

The teen live birth rate in Ontario has been progressively declining, while remaining both stable and much higher in the Porcupine Health Unit area.

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Table 40. Age-specific and total pregnancy rates per 1,000 females of reproductive age (15-49 years), PHU and Ontario, 2003-10

2003 2004 2005 2006 2007 2008 2009 2010 Porcupine Health Unit 15 to 19 51.0 50.0 54.1 52.2 54.5 58.1 62.5 55.5 20 to 24 112.1 110.8 120.4 128.7 136.9 141.1 132.6 129.7 25 to 29 106.5 131.0 143.3 136.5 149.7 131.8 151.0 143.2 30 to 34 61.0 72.6 78.6 79.5 80.4 83.8 82.4 85.9 35 to 39 22.8 19.8 19.6 30.2 27.9 27.7 33.5 30.4 40 to 44 1.8 3.8 2.9 3.5 3.1 2.1 3.9 3.8 45 to 49 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Total (15-49) 45.0 48.9 52.7 54.6 57.6 56.9 60.4 58.7 Ontario 15 to 19 31.8 30.0 29.4 29.7 30.1 29.6 28.3 26.2 20 to 24 78.5 78.3 77. 2 78.0 78.4 76.5 73.7 68.3 25 to 29 113.9 118.1 118.9 118.1 116.2 115.5 112.0 106.9 30 to 34 112.2 119.3 120.7 123.4 124.2 124.0 122.6 120.8 35 to 39 52.4 55.7 59.0 61.7 64.2 64.6 64.9 65.3 40 to 44 11.3 11.7 12.2 12.7 12.9 13.7 14.5 15.1 45-49 0.6 0.7 0.7 0.7 0.8 0.9 0.9 0.8 Total (15-49) 54.8 56.4 56.8 57.5 58.0 57.9 57.2 55.7

Source: Inpatient Discharges (Deliveries) 2003 to 2010; Therapeutic Abortions Summary 2001 to 2010; and Population Estimates 2003 to 2010; Ontario Ministry of Health and Long- Term Care, IntelliHEALTH ONTARIO, Date Extracted: [September, 2012].

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Infant Mortality Table 41. Infant mortality rates per 1,000 live births, PHU and Ontario, 2005-09

Porcupine Health Unit Ontario Number Rate/1,000 Number Rate/1,000 of deaths live births of deaths live births 2000 6 6.3 703 5.5 2001 4 4.2 704 5.4 2002 9 9.1 674 5.3 2003 8 7.8 680 5.2 2004 8 7.6 723 5.5 2005 7 6.2 738 5.5 2006 13 11.3 667 4.9 2007 10 8.3 713 5.2 2008 5 5.1 742 5.3 2009 8 7.7 693 4.9

Source: Inpatient Discharges (Deliveries) 2003 to 2010 and Population Estimates 2003 to 2010; Ontario Ministry of Health and Long-Term Care, IntelliHEALTH ONTARIO, Date Extracted: [September, 2012].

Infant mortality rates in the Porcupine Health Unit area have been fluctuating since 2000, while the rates in Ontario have been stable. This fluctuation could be attributed to the relatively small population of the Porcupine Health Unit area and relatively smaller number of live births.

Despite the instability, the infant mortality rates in the Porcupine Health Unit area are higher than the rest of Ontario.

In the IntelliHEALTH Death data source, the public health unit listed is the residence of the deceased, not where the death occurred. However, Ontario residents who died outside of the province are excluded. For further information on the calculation of infant mortality rate see the “methodology” section.

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Small & Large for Gestational Age Table 42. Percentage of small and large for gestational age babies at the time of delivery, PHU and Ontario, 2006-11

Porcupine Health Unit Ontario (% of live births) (% of live births)

Small for gestational age (<10th percentile)

2006 7.4 8.9 2007 9.1 8.9 2008 6.3 8.7 2009 5.8 8.9 2010 7.0 9.3 2011 7.4 9.2 6 year average 7.2 9.0

Large for gestational age (>90th percentile)

2006 18.8 10.9 2007 17.0 10.7 2008 18.2 11.2 2009 18.1 10.5 2010 17.7 10.2 2011 15.6 10.1 6 year average 17.6 10.6

Source: Inpatient Diagnosis and External Cause (DAD, CIHI), MOHLTC, IntelliHEALTH ONTARIO, Date Extracted: [October 15, 2103]. Report prepared by Health Analytics Branch, MOHLTC in collaboration with Reproductive Health Working Group, APHEO.

Babies who are large for their gestational age were born more frequently in the Porcupine Health Unit area than in the province as a whole. This could be correlated with higher rates of diabetes in our region.

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Breastfeeding Intent, Initiation and Duration Intention to breastfeed

Table 43. Percentage of women who intend to breastfeed, PHU and Ontar io, 2006-10

Porcupine Calendar year Health Unit % Ontario % 2006 75.6 89.2 2007 73.3 89.3 2008 71.3 89.7 2009 73.8 90.3 2010 74.2 91.0

Source: BORN Ontario*, calendar years 2006-2010.

The percentage of women who intend to breastfeed in the Porcupine Health Unit area is lower than the Ontario percentage.

Methods of infant feeding in hospital

Table 44. Distribution of methods of infant feeding in hospital among term births, PHU and Ontario, 2006-10

Porcupine Health Unit Ontario Breastmilk Formula Breastmilk Formula Calendar only only Combination only only Combination year (%) (%) (%) (%) (%) (%) 2006 51.5 26.7 21.9 60.7 12.0 27.1 2007 56.1 31.6 12.3 59.0 12.4 28.5 2008 54.5 32.0 13.5 60.4 11.9 27.6 2009 56.9 31.4 11.7 60.2 11.6 28.0 2010 55.3 27.5 17. 2 61.7 11.1 27.1

Source: BORN Ontario*, calendar years 2006-2010.

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Methods of infant feeding at discharge

Table 45. Distribution of methods of infant feeding at discharge among term births, PHU and Ontario, 2006-10

Porcupine Health Unit Ontario Calendar Breastmilk Formula Combination Breastmilk Formula Combination year only (%) only (%) (%) only (%) only (%) (%) 2006 45.5 28.8 25.7 61.1 13.6 25.1 2007 48.4 33.0 18.6 60.0 14.0 25.9 2008 42.0 33.0 25.0 60.7 13.4 25.9 2009 43.6 33.6 22.8 60.6 13.0 26.3 2010 43.6 29.6 26.8 62.2 12.3 25.4

Source: BORN Ontario*, calendar years 2006-2010.

Breastfeeding initiation by maternal age

Table 46. Percentage of women who initiated breastfeeding at discharge, by maternal age, PHU and Ontario, 2006 and 2010

% of women who % of women who initiated breastfeeding initiated breastfeeding at discharge in 2006 at discharge in 2010 Porcupine Porcupine Health Unit Ontario Health Unit Ontario Maternal age % % % % < 20 58.8 72.5 62.4 70.7 20 to 24 66.8 79.5 66.9 80.6 25 to 29 71.5 85.5 71.3 87. 2 30 to 34 75.2 88.3 75.8 90.1 35+ 78.5 88.0 68.8 89.6 Total 70.0 85.6 69.5 87.1

Source: BORN Ontario*, calendar years 2006 and 2010.

The percentage of women who initiated breastfeeding at discharge in the Porcupine Health Unit area has remained lower compared to the provincial percentage. This has remained the case between 2006 and 2010.

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Breastfeeding initiation by the number of births

Table 47. Percentage of women who initiated breastfeeding at discharge, by number of times given birth (parity), PHU, 2010

# times given birth Calendar year (parity) % 1 77.0 2010 >1 63.7

Source: BORN Ontario*, calendar years 2010. * The BORN-Niday Perinatal Database has been evolving rapidly in recent years, and changes in some point estimates over the 2004-2008 time period may be related to temporal changes in the number of hospitals that contributed birth records to the database or the completeness of data collection over this five-year period. (The Perinatal Health Report 2008 North East Ontario Public Health Region (May 2010). Pg. 16. )

Women in the PHU area who are having their first child have higher breastfeeding rates at discharge than women with more than one child.

Child Dental Health Fig. 15. Percentage of school children found with acute tooth decay during annual school screening, Porcupine Health Unit, 2003/04 to 2012/13

18 16.9 17.1 16.1 16 15.1 15.2 14.2 14.7 14.9 14.3 13.4 14

12

10

8 Percentage 6

4

2 0 2003/04 2004/05 2005/06 2006/07 2007/06 2008/09 2009/10 2010/11 2011/12 2012/13 Source: Ontario Dental Indices Survey [2003/2004 to 2012/2013], [Porcupine Health Unit], September 13, 2013.

Dental Screening services are provided to all students in Grades JK, SK, 2, 4, 6, and 8. The rates of acute tooth decay during annual school screenings appear to be on the decline over the last three years.

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section 8 INFECTIOUS DISEASES

Selected Sexually Transmitted and Blood Borne Infections Fig. 16. Age-standardized chlamydia incidence rates, by year, PHU & Ontario, 2006–12

500 700

450 600 400

350 500

300 400 250

200 300  Number of Cases 150 200 Rate per 100,000 population Rate 100

100 50

0 0 2006 2007 2008 2009 2010 2011 2012

■ PHU cases 241 224 234 407 449 418 410 ■ PHU rate 308.3 288.3 309.2 546.2 611.2 564.9 563.8 ■ Ontario rate 198.3 204.6 227.2 247.3 283.7 305.8 305.1 Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

The overall chlamydia rate increased by 82.9% between 2006 and 2012; however, much of this increase was due to First Nations on reserve cases being entered into iPHIS, for the first time, in 2009. The change in rate between 2009 and 2012 is therefore a more appropriate comparison. During this time, the overall Porcupine rate increased by only 3.2%, while the Ontario rate increased by 23.4%. The incidence rate of chlamydia has remained much higher in the PHU area than in Ontario.

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Fig. 17. Age-standardized chlamydia incidence rates, by sex and year, PHU & Ontario, 2006–12 900

800

Porcupine Female Rate

n 700 ti o a l 600

500

400 Ontario Female Rate

er 10 0,0 00 pop u Porcupine Male Rate

p 300 te a

R 200 Ontario Male Rate

100

0 2006 2007 2008 2009 2010 2011 2012

PHU male rate 194.9 197.7 212.2 336.2 371.9 346.2 352.4

PHU female rate 420.8 377.9 404.9 755.3 847.1 779.7 772.0

Ontario male rate 150.2 155.3 164.8 178.8 205.7 221.3 227.7

Ontario female rate 246.0 253.2 288.4 314.5 360.5 389.1 381.6

Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

Porcupine’s chlamydia rates, both for females and overall, are significantly higher than Ontario’s rates for each year of analysis. Porcupine’s male rates are also significantly higher than Ontario’s rates between 2009-2012; from 2006-2008, however, the male rates for Porcupine are higher but are not significantly different from Ontario’s male rates.

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Fig. 18. Age-standardized gonorrhea incidence rates, by year, PHU & Ontario, 2006–12

120 160

140 100

120

80 100

60 80

60

 Number of Cases 40

40 per 100,000 population Rate

20 20

0 0 2006 2007 2008 2009 2010 2011 2012

■ PHU cases 15 25 39 103 90 70 30

■ PHU rate 19.5 33.6 56.9 142.5 131.2 96.8 44.1

■ Ontario rate 33.6 34.4 33.3 30.2 33.4 35.2 34.0 Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

The PHU gonorrhea rate increased by 126.2% between 2006 and 2012; however, much of this increase was due to the fact that First Nations on reserve cases began to be entered into iPHIS in 2009. The change in rate between 2009 and 2012 is therefore a more appropriate comparison. During this time, the PHU overall rate decreased by 69.1%, while the Ontario rate increased by 12.6%.

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Fig. 19. Age-standardized gonorrhea incidence rates, by sex and year, PHU & Ontario, 2006–12

200

175

n 150 ti o a l 125

100

er 10 0,0 00 pop u 75 p te a

R 50

25

0 2006 2007 2008 2009 2010 2011 2012

PHU male rate 7.2 28.0 58.0 106.9 109.7 80.2 36.5

PHU female rate 31.9 39.3 55.9 177.7 152.7 113.9 51.4

Ontario male rate 43.2 41.4 39.4 34.3 37.8 41.1 40.3

Ontario female rate 24.3 27.7 27.6 26.4 29.3 29.7 28.0

Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

For gonorrhea, it is a mixed picture. Porcupine’s rates for males, females, and overall were significantly higher than Ontario’s respective rates for each of 2009, 2010, and 2011. In 2007 and 2012, there were no significant differences between Porcupine’s rates and Ontario’s rates (for males, females, or overall).

The PHU rate increased by 31.1% between 2006 and 2012; however, much of this increase was due to the fact that First Nations on reserve cases began to be entered into iPHIS in 2009. The change in rate between 2009 and 2012 is therefore a more appropriate comparison. During this time, the PHU overall rate decreased by 3.8%.

For hepatitis C, Ontario’s female rate was significantly higher than Porcupine’s female rate in 2007. In 2008, Ontario’s male and overall rates were significantly higher than Porcupine’s respective rates. For all other years, there was no significant difference between Porcupine’s and Ontario’s rates (for males, females, or overall).

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Fig. 20. Age-standardized hepatitis C incidence rates, by year, PHU & Ontario, 2006–12 35 35

30 30 tio n 25 25 ase s C opul a

f p

20 20 er o 15 15 00, 00 0 um b

n N 10 10 per 1

te a

5 5 R

0 0 2006 2007 2008 2009 2010 2008 2011

■ PHU cases 23 23 19 33 32 25 26 ■ PHU rate 23.5 25.5 21.5 32.0 32.1 30.1 30.8 ■ Ontario rate 29.8 33.8 34.1 33.3 31.7 29.2 29.3 Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

Fig. 21. Age-standardized hepatitis C incidence rates, by sex and year, PHU & Ontario, 2006–12 45

40

35 n ti o a l 30 u p o p 25 0

20 100,0 0

15 te per a R 10

5

0 2006 2007 2008 2009 2010 2011 2012 PHU male rate 29.1 38.5 22.4 41.1 35.9 26.9 30.9 PHU female rate 17.8 12.3 20.0 22.5 27.7 32.9 31.1 Ontario male rate 37.7 40.7 40.8 40.8 39.3 35.7 35.2 Ontario female rate 22.0 27.2 27.8 26.1 24.3 23.0 23.6 Source: iPHIS 2006-2012, MOHLTC, extracted November 7, 2013; Ontario data, MOHLTC, iPHIS, extracted by PHO on November 20, 2013; Population estimates, IntelliHEALTH, MOHLTC, extracted September 19, 2013

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Selected Enteric Diseases Table 48. Incidence of Campylobacter enteritis per 100,000 population, PHU and Ontario, 2005-2011

Year PHU rate Ontario rate 2005 12.0 31.1 2006 9.2 31.3 2007 15.8 31.2 2008 6.1 29.7 2009 9.0 25.3 2010 7.8 25.9 2011 2.3 26.5

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Campylobacter enteritis incidence - age standardized rate (both sexes combined) 2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/ Reportable-Burdensome-Infectious-Disease-Incidence.aspx Original source: integrated Public Health Information System (iPHIS), Porcupine Health Unit

The incidence rates of Campylobacter enteritis are relatively lower in the PHU area than for Ontario.

Table 49. Incidence of giardiasis per 100,000 population, PHU and Ontario, 2005-2011

Year PHU rate Ontario rate 2005 12.2 13.8 2006 9.7 12.9 2007 9.8 13.4 2008 7.5 13.3 2009 5.7 12.3 2010 4.6 11.4 2011 2.4 10.2

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Giardiasis incidence - age standardized rate (both sexes combined) 2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www.publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Reportable- Burdensome-Infectious-Disease-Incidence.aspx Original source: integrated Public Health Information System (iPHIS), Porcupine Health Unit

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Table 50. Incidence of salmonellosis per 100,000 population, PHU and Ontario, 2005-2011

Year PHU rate Ontario rate 2005 13.5 24.9 2006 12.4 19.6 2007 15.4 23.4 2008 14.0 19.7 2009 8.1 19.0 2010 22.1 22.1 2011 30.2 20.5

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Salmonellosis incidence - age standardized rate (both sexes combined) 2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Jul 30]. Available from: http://www. publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Reportable-Burdensome- Infectious-Disease-Incidence.aspx Original source: integrated Public Health Information System (iPHIS), Porcupine Health Unit

Annually, the Porcupine Health Unit receives reports for about 7-13 cases of Salmonella for the entire catchment area. In 2010, a notable increase of Salmonella was identified within a short period of time. Between August 3 and October 15, 2010, eight cases of Salmonella enterica I 4,[5],12:b:- (PBXAI.0063,PBBNI.0082) were reported. Seven of the eight cases resided in one community within the Porcupine Health Unit jurisdiction, and the eighth case had history of travel through the community prior to illness. The epidemic curve for the cases suggests a common and/or intermittent source in this outbreak, but secondary and community transmission could not be ruled out as a possible cause for the outbreak. In 2011, another notable increase of Salmonella was identified. Although onset of illness of confirmed cases began as early as August 6, 2011, the majority were concentrated between August 7 and 9, 2011. Thirteen cases of Salmonella Heidelberg were linked to this outbreak, which was caused by a point source contamination at a community turkey dinner.

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Selected Diseases Transmitted By Respiratory Route Table 51. Incidence of tuberculosis per 100,000 population, PHU and Ontario, 2005-2011

Year PHU rate Ontario rate 2005 0.0 5.6 2006 1.0 5.2 2007 0.0 5.3 2008 0.0 4.7 2009 5.1 4.8 2010 1.4 4.8 2011 1.0 4.9

Source: Public Health Ontario. Snapshots: Porcupine Health Unit: Tuberculosis incidence - age standardized rate (both sexes combined) 2011. Toronto, ON: Ontario Agency for Health Protection and Promotion; 2013 Mar 12 [cited 2013 Apr 30]. Available from: http://www. publichealthontario.ca/en/DataAndAnalytics/Snapshots/Pages/Reportable-Burdensome- Infectious-Disease-Incidence.aspx Original source: integrated Public Health Information System (iPHIS), Porcupine Health Unit Note: There is much statistical variability in Porcupine Health Unit, rates since the number of active tuberculosis cases per year is low.

The rates of tuberculosis in the Porcupine Health Unit area are relatively lower than the Ontario rates.

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section 9 SERVICE STATISTICS SNAPSHOT

Table 52. Selected services provided by the Porcupine Health Unit (PHU)

PHU service indicator Value Year Pregnant women receiving prenatal 146 2012 education a Support people receiving prenatal 124 2012 education a

Car seat inspections a 244 2012

430 Prenatal screenings (Larson) done b 2012 (35% found to be “at-risk”) Postpartum screenings (Parkyn) 785 2012 done b (33% found to be “at-risk”) 33.9% Influenza immunization (%)c (compared to 31.2% for 2009/2010 Ontario) Clients seen in the travel medicine 1,550 2012 programa Clients seen in the general 2,939 2012 immunization clinicsa

Cold chain inspections performeda 76 2012

Clients seen in the Sexual Health 3,227 2012 Clinicsa

Pap tests done in PHU clinicsa 461 2012

Clients tested for sexually 1,312 2012 transmitted infectionsa Clients tested for blood borne 160 2012 infections a Clients seen in the Quit Smoking 184 2012 Clinics a (18% quit rate) Clients that participated in the Smoking Treatment for Ontario 92 2012 Patients (STOP) Program a Children inspected for safe and 676 2012 correct use of bike helmets a

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Table 52. cont’d.

PHU service indicator Value Year 108 Clients served by the Canadian (69% made a healthy 2012 Prenatal Nutrition Program (CPNP) a lifestyle change) Children seen in the preventative 1,600 2012 dental clinic a Children served by Children in Need of Treatment program CINOT (eligible to receive essential 410 2012 dental care who would not otherwise be able to pay) a Participants attending nutrition skill-building workshops and 3,252 2012 events a

Students receiving healthy fruits and vegetables from the Northern 7,76 6 2012 Fruit & Vegetable Program a

Children seen for an assessment 461 and treatment in the preschool (average age at referral was 2012 speech and language program a 28 months)

Food-related inspections 1,400+ 2012 conducted a

High-risk food premises inspected quarterly while in operation (as a 100% 2012 percentage of all high-risk food premises in PHU area) a

Clients seen in Porcupine Health 123 2012 Unit Genetics Clinics a

a = Source: Porcupine Health Unit b = Source: Annual HBHC Monitoring Report, 2012 c = Source: Statistics Canada, Canadian Community Health Survey, 2009/2010. CANSIM table no.: 105-0502, 105-0592 See the glossary for definitions.

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APPENDIX A GLOSSARY

Aboriginal population Included in the Aboriginal identity population are those persons who reported identifying with at least one Aboriginal group; that is, North American Indian, Métis or , and/or those who reported being a Treaty Indian or a Registered Indian, as defined by the Indian Act of Canada, and/or those who reported they were members of an Indian band or First Nation.

Age-specific and total pregnancy rate Age-specific pregnancy rate is the total number of pregnancies for each age group divided by the total number of females in each age group for that year per 1,000 of population.

Total pregnancy rate is the total number of pregnancies among females aged 15–49, divided by the total number of females 15–49 for that year per 1,000 of population.

The number of pregnancies used to calculate the above rates is estimated by adding the number of therapeutic abortions, stillbirths and live births amongst females of childbearing years (15–49).

Age-standardized rate Age-standardized rates may be used to compare different geographic areas or time frames to adjust for any differences in the age structure of the populations that could cause a difference in rates. It reflects the number of events (e.g., deaths, hospitalizations) that would occur for a given population if that population had the same age distribution as the 1991 Canadian population.

Arthritis Proportion of the population aged 15 years and over who reported that they have been diagnosed by a health professional as having arthritis. Arthritis includes rheumatoid arthritis and osteoarthritis.

Asthma Population aged 12 and over who report that they have been diagnosed by a health professional as having asthma. Asthma is a chronic inflammatory disease of the airways that can cause

55 Community Health Status Report 2014

any or all of the following symptoms: shortness of breath, tightness in the chest, coughing or wheezing. The rate for asthma has been calculated using the ICD-10 Codes: J45. For more information, see the methodology section.

Anxiety disorder Any of a number of disorders characterized by a painful or apprehensive uneasiness of mind, usually over an impending or anticipated ill.

Avoidable mortality from preventable causes Age-standardized rate of premature deaths that could potentially have been prevented through primary prevention efforts per 100,000 population. Mortality from preventable causes is a subset of potentially avoidable mortality. Primary prevention includes strategies that focus on keeping people well and preventing diseases from occurring (8).

Avoidable mortality from treatable causes This is considered to be the age-standardized rate of premature deaths that could potentially have been avoided through secondary or tertiary prevention per 100,000 population. Mortality from treatable causes is a subset of potentially avoidable mortality. Secondary and tertiary prevention activities focus on maintaining the health of individuals with chronic conditions, delaying progression of their conditions, and preventing complications (8).

Bike helmet use Bike helmet use refers to the proportion of the population aged 12 and over who reported that they always wore a helmet when riding a bicycle in the last 12 months.

Bipolar Disorder Any of several mood disorders typically marked by alternating episodes of depression and mania or by episodes of depression alternating with excitement.

Breastfeeding initiation by maternal age The number of women who initiated any breastfeeding at discharge by maternal age, expressed as a percentage of the total number of women who gave birth.

Breastfeeding initiation by number of times giving birth (parity) The number of women who initiated any breastfeeding at discharge, based on parity, expressed as a percentage of the total number of women who gave birth. Parity is the number of times a female has

56 Community Health Status Report 2014 given birth, counting multiple births as one and usually including stillbirths, contrasting with gravidity, which is the number of times a female has been pregnant.

Body mass index (BMI) The body mass index or BMI is a ratio of weight to height (kg/m2) and is considered the most useful indicator of population health risk associated with both overweight and underweight. (Health Canada, 2003) Under this, normal weight is BMI 18.5–24.9; overweight, a BMI of 25.0–29.9; and obese, BMI 30.0 and above.

Cannabis use Lifetime cannabis use is the percentage of respondents reporting the use of marijuana or hashish at least once in their lifetime.

Past year cannabis use is the percentage of respondents reporting the use of marijuana or hashish at least once during the 12 months before the survey.

Cardiovascular diseases Cardiovascular disease is a term that refers to more than one disease of the circulatory system, including the heart and blood vessels, whether the blood vessels are affecting the lungs, the brain, kidneys or other parts of the body. To calculate these rates, all diseases of the circulatory system are included, which corresponds to ICD-10 Codes: I00-I99. For more information, see the methodology section.

Cerebrovascular diseases Cerebrovascular diseases are conditions that involve blood vessels inside the brain. Cerebrovascular disease and stroke are often used interchangeably; however, stroke is a more specific condition and a subset of cerebrovascular disease. Cerebrovascular disease includes more unspecified and ill-defined ICD codes as well as late effects of cerebrovascular disease (2) or (7). The rate for cerebrovascular diseases has been calculated using the ICD-10 Codes: I60-I69. For more information, see the methodology section.

Chronic Obstructive Pulmonary Disease (COPD) Chronic Obstructive Pulmonary Disease is an umbrella term for a number of diseases which include chronic bronchitis and emphysema characterized by chronic shortness of breath, cough and sputum production (6) or (8). The rate for COPD has been calculated using the ICD-10 Codes J40-J44. For more information, see the methodology section.

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CINOT (Children in Need of Treatment) The Children In Need of Treatment (CINOT) program provides emergency dental care and out-of-hospital anaesthetic coverage for low-income children age 17 and under. (Ontario Ministry of Health and Long-Term Care — http://www.mhp.gov.on.ca/en/healthy-communities/dental/)

Cold chain “Cold chain” refers to the process used to maintain optimal conditions (e.g., temperature, humidity, exposure to light) during the transport, storage, and handling of vaccines, starting at the manufacturer and ending with the administration of the vaccine to the client (http://www. phac-aspc.gc.ca/publicat/2007/nvshglp-ldemv/section1-eng.php).

Crude rate (or unadjusted rate) Total number of events (e.g., deaths, births, hospitalizations) divided by the total population for a given time period and geography. If one is interested in knowing the true event rates in a particular geographic area then crude or unadjusted rate should be used instead of age standardized rate.

Crude birth rate indicates the number of live births occurring during the year, per 1,000 population, estimated at midyear.

Current smoker Population aged 12 and over who reported being a current smoker. This includes daily or occasional smokers. (See also: daily smoker and occasional smoker.)

Dependency ratio The ratio of the combined population aged between 0 to 19 years old and the population aged 65 years and over to the population aged between 20 to 64 years old.

Depression A mood disorder marked especially by sadness, inactivity, trouble concentrating, a significant increase or decrease in appetite and time spent sleeping. It may also include feelings of dejection and hopelessness, and suicidal thoughts.

Daily smoker Daily smoker refers to those who reported smoking cigarettes every day. This does not take into account the number of cigarettes smoked. (See also: current smoker and occasional smoker.)

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Diabetes Population aged 12 and over who report that they have been diagnosed by a health professional as having diabetes: a chronic disease that occurs when the body is either unable to sufficiently produce or properly use insulin (Public Health Agency of Canada, 2011). The rate for diabetes has been calculated using the ICD-10 Codes E10-E14. This represents the rates for both type 1 and type 2 diabetes. For more information, see the methodology section.

Drugs and driving Driving after drinking is the percentage of respondents with a valid driver’s licence reporting driving within one hour of consuming two or more drinks of alcohol during the past 12 months.

Driving after cannabis use is the percentage of respondents with a valid driver’s licence reporting driving within two hours of consuming cannabis during the past 12 months.

Dysthymia A mood disorder characterized by chronic mildly depressed or irritable mood often accompanied by other symptoms, which may include eating and sleeping disturbances, fatigue, and poor self-esteem.

Education This refers to the highest level of educational attainment. “Highest certificate, diploma or degree” refers to the highest certificate, diploma or degree completed based on a hierarchy, which is generally related to the amount of time spent “in-class”. A university education is considered to be a higher level of schooling than a college education, while a college education is considered to be a higher level of education than in the trades.

Emergency Room wait times (Ontario Ministry of Health and Long-Term Care, 2010) The length of time spent in an Emergency Room (ER) starts when an ER patient is either triaged or registered in the ER and ends when that patient is either admitted to hospital or discharged. Ontario has two targets for time spent in ER:

• up to 8 hours for patients with complex conditions requiring more time for diagnosis, treatment or hospital bed admission; • up to 4 hours for patients who have minor or uncomplicated conditions requiring less time for diagnosis, treatment or observation.

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General/family and specialist physician rate Physician counts include all active physicians as of December 31 of the reference year. Physicians in clinical and non-clinical practice are included. Residents and unlicensed physicians who have requested that their information not be published are excluded.

Heavy drinking This refers to the percentage of the population aged 12 and over who reported having 5 or more drinks on one occasion, at least once a month in the past year. A standard drink is 13.6 g of alcohol, which translates into 5 oz. (142 ml) of wine, 1.5 oz. (43 ml) of spirits, or 12 oz. (341 ml) of regular-strength beer.

High blood pressure This indicator captures the proportion of the population aged 12 and older that self-report having high blood pressure. Data is derived from the Canadian Community Health Survey (CCHS) – a nationwide self-reported survey.

Housing information Absolute homelessness is defined as a situation in which an individual or family has no housing at all or is staying in a temporary form of shelter. At-risk of homelessness is defined as those who are at substantial risk of losing their housing in the immediate future. A person is considered to be at an elevated risk for homelessness if they: are pending eviction, have an extremely low income, experiencing familial abuse, are unable to pay rent, or have an existing medical condition with no benefits.

ICD-10 See Methodology section.

Immigrants An immigrant is a person who comes to live permanently in a foreign country. For the purposes of data collection, Stats Can usually defines immigrants as landed immigrants in Canada. A landed immigrant is a person who has been granted the right to live in Canada permanently by immigration authorities.

Inability to speak neither English nor French Percentage of individuals who cannot conduct a conversation in either of the official languages of Canada (English or French).

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Incidence rate The number of new events that occur in a population, usually expressed as a proportion or a rate (e.g., per 1,000 or per 100,000).

Infant mortality Infant mortality is the death of a live born infant before the 365th day of life.

Injury-related mortality Injury can be defined as the physical damage that results when a human body is suddenly or briefly subjected to intolerable levels of energy. (The Ontario Injury Prevention Resource Center, 2012) This may be intentional or unintentional.

Intentional injuries are self-inflicted, such as suicide, or deliberately inflicted on others, such as murder or assault while unintentional injury is any injury that is not caused on purpose or with intention to harm.

Intention to breastfeed The number of women who intended to breastfeed their infant(s), expressed as a percentage of the total number of women who gave birth.

Land transport crash, mortality due to Any collision causing death involving at least one land-based vehicle (e.g., motor vehicle, train, motorcycle, bicycle). Mortality is expressed as a crude rate per 100,000.

Large for gestational age Refers to singleton live births with a birth weight more than the 90th percentile of birth weights of the same sex and the same gestational age in weeks, expressed as a percentage of live singleton births with gestational age ages from 22 to 43 weeks. (See also: small for gestational age.)

Leading causes of death Collected from Ontario mortality data, causes of death ordered by percentages of all deaths in the province. The suicide category includes self-inflicted injuries causing death.

Life expectancy The average length of time that an individual will live if subjected to the mortality experience for the specified population and time period.

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Life satisfaction, satisfied or very satisfied Population aged 12 and over who reported being satisfied or very satisfied with their life in general.

Lone-parent family The Census defines a lone-parent family as a mother or a father, with no spouse or common law partner present, living in a dwelling with one or more children. Lone-parent families exclude people living in collective households (for example, rooming houses, nursing homes, or military camps).

Low income cut-offs (LICOs) The low income cut-offs (LICOs) are income thresholds below which a family will likely spend disproportionate amounts of its income for food, shelter and clothing. Children living under the LICOs refers to children aged 17 and under living in low-income families. The LICO is reported based on after-tax income.

Low-Risk Alcohol Drinking Guidelines, compliance with This refers to the percentage of the population in compliance with the low-risk drinking guidelines.

The Low-Risk Alcohol Drinking Guidelines indicate no more than 2 standard drinks on any one day for women and no more than 3 standard drinks on any one day for men, with a maximum of 10 and 14 standard drinks a week for women and men, respectively. A couple of days with no alcohol drinking should be taken each week. (http:// www.ccsa.ca/Eng/topics/alcohol/drinking-guidelines/Pages/default.aspx)

Mania An extreme excitement, generally characterized by mental and physical hyperactivity, disorganization of behaviour, and elevation of mood. It may also refer specifically to the manic phase of bipolar disorder.

Mental health hospitalization This indicator represents the age-standardized rate of separations from general hospitals through discharge or death following a hospitalization for mental illnesses per 100,000 population.

Methods of infant feeding in hospital The distribution of categories of method of infant feeding while in hospital, expressed as a percentage of the total number of healthy full-term babies.

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Methods of infant feeding at discharge The distribution of categories of method of infant feeding while at discharge, expressed as a percentage of the total number of healthy full-term babies.

Mother tongue First language learned in childhood and still understood at the time of the Census.

Nutritious food basket, cost of The nutritious food basket is a food-costing tool used provincially to measure the cost of healthy eating in each Board of Health jurisdiction. Sixty-seven foods in specific amounts are priced in six stores in each health unit area. The food basket meets the current nutritional recommendations and consumer food purchase patterns for a reference family of four (man and woman 31-50, boy 14-18 and girl 4-8) for a week.

Obsessive-Compulsive Disorder (OCD) An anxiety disorder in which a person feels compelled to perform one or a number of actions repeatedly to alleviate persistent fears or intrusive thoughts. (See also: anxiety disorder.)

Occasional smoker Occasional smoker refers to those who reported smoking cigarettes less than every day.

(See also: current smoker and daily smoker.)

Panic Disorder An anxiety disorder characterized by recurrent unexpected panic attacks.

Patients with repeat hospitalizations for mental illness Risk-adjusted percentage of individuals that had three or more episodes of care for a selected mental illness over all those who had at least one episode of care for a selected mental illness in general hospitals within a given year.

Per 100,000 population Represents the number of events that would occur for every 100,000 people in a specified population.

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Perceived health This concept indicates the respondent’s health status based on his or her own judgement.

Phobia An exaggerated and often disabling fear of, or aversion to an object, group of objects or situation.

Physical activity This refers to the self-reported proportion of the population who are physically active during their leisure time (moderately active or active). The level of activity is based on their responses to questions about the nature, frequency and duration of their participation in leisure-time physical activity.

Population Number of individuals that live in a specific geographic area, at a particular time, based on census figures.

Population growth rate The difference in population figures between the 2006 and 2011 Census.

Population density Number of individuals residing in the Porcupine Health Unit (2011 Census) divided by the land area of the Porcupine Health Unit in square kilometres.

Postpartum screenings (Parkyn) The Parkyn is a tool that predicts which families and their newborns may be at risk for developmental challenges and may need further assessment.

Prenatal screening (Larson) The Larson prenatal screen helps to predict families at risk for difficulties in the postpartum period.

Prevalence rate The total number of cases of a disease, disorder or condition in a group of people or population over a specific period of time.

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Primary prevention Primary prevention includes strategies that focus on keeping people well and preventing diseases from occurring.

Regular medical doctor Regular medical doctor indicates the proportion of the population aged 12 and over who reported that they have a regular medical doctor.

Rural population Rural areas include all areas outside population centres. These are areas with a population of at less than 1,000 and a density of less than 400 people per square kilometre.

Second-hand smoke exposure at home Non-smoking population aged 12 and over who reported that at least one person smoked inside their home every day or almost every day.

Self-perceived life stress Population aged 15 and over who reported perceiving that most days in their life were “quite a bit” or “extremely” stressful.

Self-perceived mental health Population aged 12 and over who reported perceiving their own mental health status as being excellent or very good. Perceived mental health refers to the perception of a person’s mental health in general.

Sense of community belonging Population aged 12 and over who reported their sense of belonging to their local community as being very strong or somewhat strong.

Singleton A child born singly, rather than one of a multiple birth (i.e., not a twin, triplet, etc.).

Size of region Land area of health unit in square kilometres (km2).

Small for gestational age Refers to singleton live births with a birth weight less than the 10th percentile of birth weights of the same sex and same gestational age in weeks, expressed as a percentage of live singleton births with gestational ages from 22 to 43 weeks. (See also: large for gestational age.)

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STOP (Smoking Treatment for Ontario Patients) Program The STOP Program is a province-wide initiative that delivers smoking cessation treatment and counselling support to eligible Ontario smokers who wish to quit smoking.

Tobacco vendors in compliance with the tobacco youth access legislation This refers to the percentage of tobacco vendors in compliance with the tobacco youth access legislation. Under the Smoke-Free Ontario Act, it is illegal to sell tobacco products to a person under the age of 19.

Unemployment rate Proportion of the labour force aged 15 and over who did not have a job during the reference period. The labour force consists of people who are currently employed and people who are unemployed but were available to work in the reference period.

Vegetable and Fruit Consumption This refers to the self-reported proportion of population who consume five or more servings of fruits and/or vegetables per day.

Visible minority The Employment Equity Act defines visible minorities as “persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour”.

Wait time for hip fracture surgery The wait time is the risk-adjusted proportion of hip fracture patients age 65 and older who underwent hip fracture surgery within 48 hours of admission to hospital. A benchmark of hip fracture fixation of within 48 hours was set by federal, provincial and territorial governments in December 2005; however this indicator only became available in CIHI’s Discharge Abstract Database (DAD) beginning in 2009–2010. (Canadian Institute for Health Information, 2013)

Youth who have never smoked a whole cigarette This refers to the percentage of youth (ages 12-18) who have never smoked a whole cigarette.

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APPENDIX B METHODOLOGY

Data Sources and Limitations The following are the main data sources used in this report.

2011 Census Data from the Canadian Census was provided by Statistics Canada. The census takes place every five years in Canada and is a reliable source of information for population and dwelling counts, as well as demographic and other socio-economic characteristics. In 2011, most information previously collected by the mandatory long-form census questionnaire was collected as part of the new voluntary National Household Survey. This report relies primarily on 2011 census data; however, where unavailable, data from 2006 census is used, since data from the National Household Survey is not available on a Health Unit level at this time. An important limitation of the Census is that it undercounts some groups, such as the homeless and aboriginal people on reserves.

IntelliHEALTH A knowledge repository (database) that contains clinical, population and administrative data collected from various sectors of the Ontario healthcare system, IntelliHEALTH is managed by the Ontario Ministry of Health and Long-Term Care. Some of the IntelliHEALTH data sources contained in this report include:

• Vital Statistics from the Office of the Ontario Registrar General; • Inpatient Discharges (hospitalizations, live births, stillbirths) from Canadian Institute for Health Information’s (CIHI) Discharge Abstract Database (DAD); • Population Estimates from Statistics Canada, approved by the Ontario Ministry of Finance.

Canadian Community Health Survey (CCHS) The Canadian Community Health Survey (CCHS) is a national survey that provides self-reported information related to health status,

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health care utilization and health determinants at the regional and provincial levels. The CCHS operates on a two-year collection cycle and targets individuals aged 12 years and older. Self-reported data has a number of limitations. People do not always remember their behaviours, and may under-report or over-report certain behaviours or characteristics based on their perceived social desirability. In addition, surveys do not always provide a representative picture of the whole population. Obesity estimates are calculated according to self-reported height and weight information that has been shown to underestimate BMI and therefore obesity.

Integrated Public Health Information System (iPHIS) In Ontario, the integrated Public Health Information System (iPHIS) is the information system used for reporting case information on all reportable communicable diseases for regional, provincial and national surveillance. This database is managed by the Ministry of Health and Long-Term Care and used in Ontario public health units for communicable disease case and contact follow-up as well as outbreak management.

Public Health Ontario Snapshots Snapshots is a collection of interactive map-based dashboards showing both geographic and temporal trends for key public health indicators, by public health unit and Ontario overall. It provides dynamically-linked tables, graphs, and maps with pre-calculated statistics. Snapshots uses Core Indicators developed by the Association of Public Health Epidemiologists in Ontario (APHEO). The snapshot data contained in this report includes:

• Chronic disease hospitalization; • Chronic disease mortality; • Self-reported chronic health problems; and • Reportable burdensome infectious disease incidence.

Porcupine Health Unit databases The Porcupine Health Unit maintains several databases designed to enable the effective administration of programs and services and keep track of data. Data from some of these databases have been used in this report. In such cases, comparisons may not have been made to the province because of the absence of an equivalent provincial database.

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Data Analysis This section contains information on how the data in this report was analyzed and/or derived, including caveats regarding data interpretation. For organization and clarity, they have been listed in an order similar to the chapters of the report.

Demographics The data for the Demographics chapter was derived primarily from the 2011 Canadian population census. For a description of the 2011 Canadian population census, please see the paragraph titled 2011 Census above. Where available, data is also extracted at a health unit level from Statistics Canada’s Health Profile, January 2013 version. Where data is unavailable from Statistics Canada on a regional health level, data for the Porcupine Health Unit area have been derived by combining data from the Cochrane district and the town of Hornepayne, which together make up the Porcupine Health Unit area.

For the population distribution of the Porcupine Health Unit area by Census Subdivisions; in keeping with Statistics Canada’s policy on privacy and confidentiality, data has been suppressed for people living in a place where the total population is less than 40.

ICD-10 The International Classification of Diseases (ICD) is the standard diagnostic tool for epidemiology, health management and clinical purposes. It includes the analysis of the general health situation of population groups. It is used to monitor the incidence and prevalence of diseases and other health problems and used to classify diseases and other health problems recorded on many types of health and vital records including death certificates and health records. (WHO — http://www.who.int/classifications/icd/en/)

Social Determinants of Health This chapter mainly contains data available on the Statistics Canada health profile tabulation. For the definition of indicators used in this section, see the glossary section.

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Mortality In order to avoid the instability in rates that may result from fluctuations in the counts for the leading causes of death that may occur from year to year, the data for the leading causes of death both for the Porcupine Health Unit area and Ontario represents a combined five year period (2005 to 2009).

The table for the leading cause of injuries is based on the Becker et al. “leading causes of death” categories. (16)

The corresponding ICD codes used to obtain mortality counts and rates for selected chronic diseases in this report include:

• All Diseases of the Circulatory System (ICD-10 Codes: I00-I99) • Ischemic Heart Diseases (ICD-10 Codes: I20-I25) • Cerebrovascular Diseases (ICD-10 Codes: I60-I69) • Stroke (ICD-10 Codes: I60, I61, I63, I64) • Lower Respiratory Disease (ICD-10 Codes: J40-J47) • Chronic Obstructive Pulmonary Disease (COPD) (ICD-10 Codes: J40-J44) • Asthma (ICD-10: J45-J46) • Diabetes (ICD-10: E10-E14) — Because it is not possible to distinguish between type 1 and type 2 diabetes from admini- strative data, diabetes as used here represents both type 1 and type 2 diabetes. • Rates and counts for the selected chronic diseases were extracted from the Public Health Ontario snapshots data.

The rates for selected chronic diseases were calculated using the number of cases as the numerator and the population count as the denominator.

Morbidity The corresponding ICD codes used to obtain hospitalization counts and rates for selected chronic diseases included are similar to those already detailed in the mortality section above. Hospitalization rates and counts and prevalence rates reported were also extracted from the Public Health Ontario Snapshots data.

Risk Factors The indicators for this section have been tabulated to mostly include data from CCHS cycles of 2007/08, 2009/10 and 2011/12. This will enable the appreciation of trends over time. In other cases, data is provided only for the period for which data is available.

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Healthcare System Utilization Once again, data have been provided as far back as possible to allow the appreciation of trends across years. Please note that the Ministry of Health and Long-Term Care updates the emergency room (ER) wait time information on the fourth Thursday of every month; therefore, while the data provided in this report is accurate at the time of publication, it is not “real-time” information and may change from time to time.

Reproductive and Child Health Infant Mortality Rate is calculated as the total number of deaths for all live born infants (364 days or younger) divided by the total number of live births times 1,000. In the IntelliHEALTH death data source, the Public Health Unit field is the health unit of the deceased, not the health unit where the death occurred. However, Ontario residents who died outside Ontario are excluded.

Infectious Diseases Only selected infectious diseases have been reported. Infectious diseases where the case count is typically less than five per annum have been excluded from the report. For chlamydia and gonorrhea, before 2009 the data presented represents only non-First Nation cases. Data from 2009 onwards represents both First Nation and non-First Nation cases. Because the Porcupine Health Unit area includes First Nations cases in its data and not every health unit includes First Nations cases in their data, comparisons between local and provincial rates should be made with caution for chlamydia and gonorrhea.

Data Comparisons Throughout this report, comparison is made to Ontario. Readers should be aware that Ontario is the most populous province in Canada and thus to allow such comparison, percentages and, where applicable, standardized rates have been used to make comparisons.

Where available, data across different time points have also been compared to provide an idea of trends. In some situations, data on previous years were not available and thus the trend analyses could not be done or were restricted.

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Small Counts When reporting the extent of a health-related event, rates are used to allow comparison with other jurisdictions and across different time points. Because rates are calculated using the number of cases (counts) of a health problem, within a specified geography and period, the rate is dependent on the number of health problems that occur within that time—usually annually. In populations such as the Porcupine Health Unit area where the population is relatively small compared to the rest of the province, the event (e.g., disease) counts are usually small. Consequently, small changes in the number of events from one year to the next can result in large changes in the associated rates. This is why a greater instability is often seen in Porcupine Health Unit rates compared to Ontario throughout the report.

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APPENDIX C BIBLIOGRAPHY

1. PreventConnect [Internet]. 2013 [cited 2013 Aug 13]. Available from: http://wiki.preventconnect.org/River+Story.

2. Public Health Agency of Canada [Internet]. What is Public Health?; 2004 [cited 2013 Aug 12]. Available from: http:// www.phac-aspc.gc.ca/publicat/sars-sras/naylor/3-eng.php#s3a.

3. Ontario Ministry of Health and Long-Term Care [Internet]. Ontario Public Health Standards; 2013 [cited 2013 Jul 29]. Available from: http://www.health.gov.on.ca/en/pro/programs/ publichealth/oph_standards/.

4. Public Health Agency of Canada [Internet]. What Determines Health?; 2011 [cited 2013 Aug 13]. Available from: http://www. phac-aspc.gc.ca/ph-sp/determinants/.

5. Statistics Canada. Aboriginal Peoples in Canada in 2006: Inuit, Métis and First Nations, 2006 Census. Ottawa; 2008. Report No.: 978-0-662-47477-7.

6. The Ontario Injury Prevention Resource Center. Ontario Injury Data Report Toronto: SMARTRISK; 2012.

7. The Association of Public Health Epidemiologists in Ontario [Internet]. Chronic disease mortality; 2009 [cited 2013 Jun 20]. Available from: http://www.apheo.ca/index. php?pid=99#datasources

8. Public Health Agency of Canada [Internet]. Chronic obstructive pulmonary disease (COPD); 2008 [cited 2013 Jul 16]. Available from: http://www.phac-aspc.gc.ca/cd-mc/crd-mrc/ copd-mpoc-eng.php.

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9. Public Health Agency of Canada [Internet]. Diabetes in Canada: Facts and figures from a public health perspective; 2011 [cited 2013 Jun 16]. Available from: http://www.phac- aspc.gc.ca/cd-mc/publications/diabetes-diabete/facts-figures- faits-chiffres-2011/introduction-eng.php.

10. Wilkins K, Wysocki M, Morin C, Wood P. Multiple causes of death. Health Reports. 1997; 9(2): p. 19-29.

11. Canadian Mental Health Association [Internet]. Fast facts about mental health; 2013 [cited 2013 Jul 18]. Available from: http://www.cmha.ca/media/fast-facts-about-mental-illness/.

12. Canadian Institute for Health Information [Internet]. Health System Performance; 2013 [cited 2013 Aug 13]. Available from: http://www.cihi.ca/cihi-ext-portal/internet/en/document/ health+system+performance/indicators/health/indic_def_health_ system_13.

13. Association of Public Health Epidemiologists in Ontario [Internet]. Birth Weight; 2013 [cited 2013 Aug 14]. Available from: http://www.apheo.ca/index.php?pid=142.

14. Canadian Institute for Health Information [Internet]. 2.0 Health System Performance; 2013 [cited 2013 Jul 16]. Available from: http://www.cihi.ca/CIHI-ext-portal/internet/en/ document/health+system+performance/indicators/health/indic_ def_health_system_13.

15. Ontario Ministry of Health and Long-Term Care [Internet]. Definitions; 2010 [cited 2013 Jul 15]. Available from: http://www.ontariowaittimes.com/er/En/Data. aspx?LHIN=0city=timmins&pc=&dist=0&hosptID=0&str= view=1&period=0&expand=0.

16. Becker R, Silvi J, Ma Fat D, L’Hours A, Laurenti R. A method for deriving leading causes of death. Bulletin of the World Health Organization. 2006; 84(4): p. 297-304.

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Main Office: 169 Pine Street South, Postal Bag 2012, Timmins, ON P4N 8B7 Tel. (705) 267–1181 Fax (705) 264–3980

Toll Free: 1-800-461-1818 www.porcupinehu.on.ca