Trends in the Diagnosis of Diseases of Despair in the United States, 2009–2018: a Retrospective Cohort Study

Total Page:16

File Type:pdf, Size:1020Kb

Trends in the Diagnosis of Diseases of Despair in the United States, 2009–2018: a Retrospective Cohort Study Open access Original research BMJ Open: first published as 10.1136/bmjopen-2020-037679 on 9 November 2020. Downloaded from Trends in the diagnosis of diseases of despair in the United States, 2009–2018: a retrospective cohort study Emily Brignone ,1 Daniel R George,2,3 Lawrence Sinoway,3,4 Curren Katz,1 Charity Sauder,3 Andrea Murray,3 Robert Gladden,1 Jennifer L Kraschnewski3,4,5 To cite: Brignone E, George DR, ABSTRACT Strengths and limitations of this study Sinoway L, et al. Trends in Background and objective Increasing mortality the diagnosis of diseases of and decreasing life expectancy in the USA are largely despair in the United States, ► Increasing mortality due to deaths of despair is well 2009–2018: a retrospective attributable to accidental overdose, alcohol- related disease documented in extant research. To our knowledge, cohort study. BMJ Open and suicide. These ‘deaths of despair’ often follow years this study is the first to provide large- scale insights 2020;10:e037679. doi:10.1136/ of morbidity, yet little is known about trends in the clinical into the clinical recognition of the morbidities that bmjopen-2020-037679 recognition of ‘diseases of despair’. The objective of this can ultimately culminate in those deaths. This clini- study is to characterise rates of clinically documented ► Prepublication history for cal perspective highlights potential opportunities to this paper is available online. diseases of despair over the last decade and identify intervene in the progression of morbidity towards To view these files, please visit sociodemographic risk factors. mortality. the journal online (http:// dx. doi. Design Retrospective study using a healthcare claims ► The study uses a large and inclusive sample. As a org/ 10. 1136/ bmjopen- 2020- database with 10 years of follow- up. result, we are able to identify differential patterns in 037679). Setting Participants resided nationwide but were the diagnosis of substance-rela ted, alcohol-rela ted and suicide-rela ted diagnoses across age and gen- Received 13 February 2020 concentrated in US states disproportionately affected by der lines, which can improve targeted prevention Revised 12 May 2020 deaths of despair, including Pennsylvania, West Virginia Accepted 19 July 2020 and Delaware. efforts. Participants Cohort included 12 144 252 participants, ► The long administrative surveillance period of 10 with no restriction by age or gender. years allows us to track changes in the identification Outcome measures Diseases of despair were defined of diseases of despair over time, and to compare long-term trends between documented morbidity as diagnoses related to alcohol misuse, substance misuse and mortality. http://bmjopen.bmj.com/ and suicide ideation/behaviours. A lookback period was While trends in deaths of despair appear to vary by used to identify incident diagnoses. Annual and all- ► © Author(s) (or their race/ethnicity, details on race/ethnicity were not time incidence/prevalence estimates were computed, employer(s)) 2020. Re- use available for our sample. permitted under CC BY- NC. No along with risk for current diagnosis and patterns of We were unable to directly link disease of despair commercial re- use. See rights ► comorbidity. incidence/prevalence to mortality on an individual and permissions. Published by Results 515 830 participants received a disease of BMJ. level; rather, we compare trends in morbidity and despair diagnosis (58.5% male, median 36 years). 1Data Science Research and mortality in more general terms. From 2009 to 2018, the prevalence of alcohol- related, Development, Highmark Health, Pittsburgh, Pennsylvania, USA substance- related and suicide- related diagnoses on September 30, 2021 by guest. Protected copyright. 2Department of Humanities, respectively increased by 37%, 94%, and 170%. Ages 55– Penn State College of Medicine, 74 had the largest increase in alcohol/substance- related From 2015 to 2017, there was an annual down- Hershey, Pennsylvania, United diagnoses (59% and 172%). Ages <18 had the largest ward trend in life expectancy in the USA, the States increase in suicide- related diagnoses (287%). Overall, 1 2 3 longest sustained decline since 1915–1918. Clinical and Translational odds for current-year diagnosis were higher among men Relatedly, researchers have observed a longer, Science Institute, Penn State (adjusted OR (AOR) 1.49, 95% CI 1.47 to 1.51), and among College of Medicine, Hershey, more marked increase in the all- cause Pennsylvania, United States those with Affordable Care Act or Medicare coverage mortality of middle-aged white non-Hispanic 4Department of Medicine, Penn relative to commercial coverage (AOR 1.30, 1.24 to 1.37; men and women in the USA between 1999 State College of Medicine, AOR 1.51, 1.46 to 1.55). and 2015, with premature deaths largely Hershey, PA, United States Conclusions Increasing clinical rates of disease of 5 associated with ‘deaths of despair’, including Department of Public despair diagnoses largely mirror broader societal trends Health Sciences, Penn State suicides, accidental poisonings (eg, opiate in mortality. While the opioid crisis remains a top public College of Medicine, Hershey, overdose) and alcohol-related liver disease Pennsylvania, United States health priority, parallel rises in alcohol-rela ted diagnoses (eg, cirrhosis).3 4 and suicidality must be concurrently addressed. Findings This troubling observation has coincided Correspondence to suggest opportunities for healthcare systems and with decades of economic decline for less Dr Emily Brignone; providers to deploy targeted prevention to mitigate the educated and unskilled workers, stagnant emily. brignone@ progression of morbidities towards mortality. highmarkhealth. org or falling real median wages and family Brignone E, et al. BMJ Open 2020;10:e037679. doi:10.1136/bmjopen-2020-037679 1 Open access BMJ Open: first published as 10.1136/bmjopen-2020-037679 on 9 November 2020. Downloaded from incomes,5 6 lower marriage rates,7 increases in single- within each of the three diagnostic categories of interest. parent households8 and disengagement from the labour Classifications were adapted from the Healthcare Cost force.9 It is theorised that these changes have fostered and Utilization Project Clinical Classification Software growing feelings of despair, that is, disillusionment, (HCUP- CCS).20 Code mappings were used for HCUP precariousness and resignation.3 4 10–12 Despair may in categories alcohol- related disorders (5.11), substance- turn trigger emotional, cognitive, behavioural and even related disorders (5.12), and suicide and intentional self- biological changes,13–17 increasing the likelihood of inflicted injury (5.13). Diagnoses related to substance use diseases that can progress and ultimately culminate in considered outside the focus of the present study were these deaths of despair. excluded, specifically, codes related to the use of tobacco While this pathway may unfold over years or decades, to and cannabis, and certain non-psychoactive substances date, most studies in this domain have primarily focused (ie, ICD-10 codes F550, F551, F552, F554). Additional on the endpoint of mortality. Limited extant research indicators were created for overall disease of despair suggests a parallel rise in associated morbidities,3 4 but status (diagnosis of any type), and co- occurring diseases specific estimates of ‘disease of despair’ morbidity (ie, of despair status (diagnoses in multiple categories). A substance- related disorders, alcohol-related disorders, 2- year lookback period was used to identify incident diag- and suicide ideation and attempts) are lacking. Moreover, noses. If no record of the given diagnosis type was found little is known about trends in the recognition and docu- during the lookback period, the diagnosis was recorded mentation of these diseases in the clinical setting. This as an incident case. Annual and all- time incidence and represents an important gap in the literature; indeed, prevalence estimates were computed. while primary prevention efforts to address the root causes Additional clinical comorbidities were calculated for of societal despair are needed, it may be possible to inter- the final year of follow- up (2018). Physical health comor- vene on the pathway from morbidity to mortality in the bidities were measured using weighted Charlson Comor- clinical setting. An understanding of diagnostic patterns bidity Index Scores.21 Psychiatric comorbidities were and the association between documented morbidity defined using additional HCUP-CCS classifications, and and mortality is necessary to guide these secondary and included indicators for adjustment/anxiety disorders tertiary prevention efforts. Thus, the objectives of the (5.1 and 5.2), mood disorders (5.8), and schizophrenia present study were to use a large administrative database and other psychotic disorders (5.10). of healthcare claims to (1) characterise the incidence Existing research points to particular age groups as and prevalence of diseases of despair diagnoses over the having uniquely high risk for deaths of despair overall last decade and (2) identify individual sociodemographic and by particular subtype. Thus, individuals in the sample factors and patterns of comorbidity associated with were stratified into age groups to allow for comparison disease of despair diagnosis. Finally, patterns in morbidity between morbidity and mortality trends. Infants less than and mortality are discussed. 1 year old were analysed separately
Recommended publications
  • TTB Alcohol Regulation Letter
    August 16, 2021 Ms. Amy Greenberg Director, Regulations and Rulings Division Alcohol and Tobacco Tax and Trade Bureau 1310 G Street, NW, Box 12 Washington, DC 20005 RE: Docket Number TTB-2021-0007, Notice No. 204 Dear Director Greenberg: On behalf of the American Public Health Association, we appreciate the opportunity to submit this comment in response to Docket Number TTB-2021-0007, Notice No. 204 to oppose industry pressure to remove established regulations that protect the public’s health and safety. In a year that saw record profits for the alcohol industry, any reduction in health standards risks exacerbating trends in alcohol use disorders and serious alcohol-related harms that worsened during the COVID- 19 pandemic. Further, we support the current timeline for accepting public comments. The Treasury Department’s review of the production, permitting, labeling, and advertising requirements in accordance with the Federal Alcohol Administration Act (FAA) serves as the national cornerstone for protecting the public’s health. We urge the Division to consider two key facts: 1) Alcohol is a unique product with serious public health consequences, and 2) The FAA was adopted to provide an important balance between the marketplace and the public’s health and safety. As the alcohol industry consolidates and corporate interests align, the Alcohol and Tobacco Tax and Trade Bureau (TTB) serves as the critical defense to maintain proven regulations that protect children and communities. Why alcohol is unique and must be reviewed with a broader lens beyond economics. Alcohol use is a leading risk factor for premature death and disability among individuals 15 to 59 years of age.[1] Excessive alcohol use was a major driver of mortality in the U.S.
    [Show full text]
  • Socioeconomic Status and Increasing Mid-Life Mortality Planning Meeting
    Socioeconomic Status and Increasing Mid-life Mortality Planning Meeting June 16, 2017 Keck Center of the National Academies Washington, DC 20001 Meeting Summary Revised October 14, 2017 This meeting summary was prepared by Rose Li and Associates, Inc., under contract to the National Institute on Aging HHSN271201400038C/0025. The views expressed in this document reflect both individual and collective opinions of the meeting participants and not necessarily those of the National Institutes of Health, the National Academies of Sciences, Engineering, and Medicine, or any organization represented at the meeting. Writing and editing contributions to earlier versions of this meeting summary by the following individuals is gratefully acknowledged: Jere Behrman, Jason Boardman, Laura Dwyer-Lindgren, Dana Glei, John Haaga, Robert Hummer, Amelia Karraker, Rose Li, Ryan Masters, David Miller, Shannon Monnat, Jennifer Karas Montez, Samuel Thomas, Nancy Tuvesson, Maxine Weinstein, and John Wilmoth. SES and Increasing Mid-Life Mortality Planning Meeting June 16, 2017 Table of Contents Executive Summary ......................................................................................................................... iii Meeting Summary........................................................................................................................... 1 Introduction .............................................................................................................................................. 1 Overview of Trends and Differentials
    [Show full text]
  • Socioeconomic Status (SES) and Psychiatric Disorders*
    Soc PsychiatryPsychiatr Epidemiol (1990)25:4147 Social Psychiatryand Spfinger-Verlag1990 Psychiatric Epidemiology Socioeconomic status (SES) and psychiatric disorders* Are the issues still compelling? B. R Dohrenwend New York State PsychiatricInstitute and Social PsychiatryResearch Unit, ColumbiaUniversity, New York, USA Summary. One of the most consistent findings in psychia- Despite these changes in concepts and methods, there tric epidemiology prior to 1980 has been that socioeco- was remarkable consistency in the findings of the first and nomic status (SES) was inversely related to the recent pre- second generation studies with regard to relations be- valence of a variety of important types of disorder. The tween the psychiatric disorders and various demographic findings raised and re-raised major issues about the role of factors, most notably gender and socioeconomic status adversity in these disorders. In recent years, however, re- (SES). For SES, inverse relations were found with total search interest in these issues has been declining. At the rates aggregated across subtypes, for schizophrenia, for same time, marked changes have been taking place in the the personality disorders consisting largely of antisocial case identification and diagnostic procedures available for behaviors and substance abuse, and for symptom scales of epidemiological research. In this paper, I inquire into nonspecific distress (Dohrenwend et al. 1980 a; Dohren- whether these changes in diagnostic concepts and meth- wend 1983). ods have led to a change in the "facts" that gave rise to the These findings have raised and re-raised over the years issues about the role of SES. I rely particularly on results the classic social stress-social selection issue.
    [Show full text]
  • Parental Socioeconomic Status Or IQ? an Exploration of Major Determinants of U.S
    Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Smith, Dillon M. 2018. Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty. Student paper, EC970, Department of Economics, Harvard University. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:36853954 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty Dillon M. Smith 4/30/2018 Abstract The Bell Curve by Charles Murray and Richard Herrnstein is one of the most controversial academic works of the last few decades. Using data from the National Longitudinal Survey of Youths (1979), we performed a number of regressions of poverty status in 1989 on parental socioeconomic status, IQ, race, sex, and age. We replicate their results which show that IQ is a more important predictor of poverty status than parental socioeconomic status (SES). We extend their analysis to other groupings and find that, while similar, the underlying relationship between the variables and poverty status varies across groups. We then compared ratios of the percentage of the top 25% to bottom 25% of either IQ or parental SES in poverty. We found that parental SES had three times the predictive power as SES for black respondents and twice the predictive power for Hispanic respondents over whites, also finding a greater proportion of respondents in poverty at all levels for minority groups than for white respondents with a similar relationship for females compared to males.
    [Show full text]
  • Age, Socioeconomic Status and Obesity Growth
    NBER WORKING PAPER SERIES AGE, SOCIOECONOMIC STATUS AND OBESITY GROWTH Charles L. Baum II Christopher J. Ruhm Working Paper 13289 http://www.nber.org/papers/w13289 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 August 2007 We thank seminar participants at the National Bureau of Economic Research and Triangle Health Economics Workshop for useful comments, as well as Darius Lakdawalla for help obtaining measures of job-related physical demands. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. © 2007 by Charles L. Baum II and Christopher J. Ruhm. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Age, Socioeconomic Status and Obesity Growth Charles L. Baum II and Christopher J. Ruhm NBER Working Paper No. 13289 August 2007 JEL No. I12 ABSTRACT The rapid growth in obesity represents a major public concern. Although body weight tends to increase with age, the evolution of obesity over the lifecycle is not well understood. We use longitudinal data from the National Longitudinal Survey of Youth to examine how body weight changes with age for a cohort moving through early adulthood. We further investigate how the age-obesity gradient differs with socioeconomic status (SES) and begin to examine channels for these SES disparities. Our analysis uncovers three main findings. First, weight rises with age but is inversely related to SES at given ages. Second, the SES-obesity gradient widens over the lifecycle, a result consistent with research examining other health outcomes such as overall status or specific medical conditions.
    [Show full text]
  • Contributing Factors in Adolescents' Mental Well-Being—The
    sustainability Article Contributing Factors in Adolescents’ Mental Well-Being—The Role of Socioeconomic Status, Social Support, and Health Behavior Gabriella Nagy-Pénzes 1,2 , Ferenc Vincze 2 and Éva Bíró 2,* 1 Doctoral School of Health Sciences, University of Debrecen, 26. Kassai Street, 4028 Debrecen, Hungary; [email protected] 2 Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26. Kassai Street, 4028 Debrecen, Hungary; [email protected] * Correspondence: [email protected]; Tel.: +36-52-512-765 (ext. 77405) Received: 16 September 2020; Accepted: 16 November 2020; Published: 18 November 2020 Abstract: Mental disorders are common in adolescents, and for effective interventions we should be aware of their determinants. However, there are only a small number of studies investigating the combined effect of multiple factors. Therefore, our aim is to assess the impact of socioeconomic status, social support, and health behavior on adolescents’ mental well-being. A cross-sectional health survey of 1641 children was carried out in accordance with the study protocol of the Hungarian Health Behavior in School-aged Children survey. Multivariate multiple regression was used to analyze the main determinants of mental well-being. The boys’ mental well-being was favorable compared to girls; lower subjective family wealth was associated with lower life satisfaction and depressive mood. Life satisfaction was positively related to healthy eating, social support, and physical activity. Unhealthy eating, sedentary lifestyle, and lower social support were associated with higher depression scores. Higher social support reduces psychosomatic symptoms, while unhealthy eating and spending a lot of time in front of the computer increase them.
    [Show full text]
  • Socioeconomic Status and Health: Dimensions and Mechanisms
    NBER WORKING PAPER SERIES SOCIOECONOMIC STATUS AND HEALTH: DIMENSIONS AND MECHANISMS David M. Cutler Adriana Lleras-Muney Tom Vogl Working Paper 14333 http://www.nber.org/papers/w14333 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 September 2008 We thank Sherry Glied and Peter Smith for comments. This research has been supported by the National Science Foundation GRFP and the National Institutes on Aging. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2008 by David M. Cutler, Adriana Lleras-Muney, and Tom Vogl. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Socioeconomic Status and Health: Dimensions and Mechanisms David M. Cutler, Adriana Lleras-Muney, and Tom Vogl NBER Working Paper No. 14333 September 2008 JEL No. I1 ABSTRACT This paper reviews the evidence on the well-known positive association between socioeconomic status and health. We focus on four dimensions of socioeconomic status -- education, financial resources, rank, and race and ethnicity -- paying particular attention to how the mechanisms linking health to each of these dimensions diverge and coincide. The extent to which socioeconomic advantage causes good health varies, both across these four dimensions and across the phases of the lifecycle.
    [Show full text]
  • Measuring Student Socioeconomic Status: Toward a Comprehensive Approach
    SCHOOL FINANCE SERIES Measuring Student Socioeconomic Status Toward a Comprehensive Approach Peter W. Cookson Jr. MAY 2020 Measuring Student Socioeconomic Status: Toward a Comprehensive Approach Peter W. Cookson Jr. Acknowledgments The author thanks Linda Darling-Hammond, Janel George, Stephanie Levin, and Caitlin Scott for their careful reading of the report and for their timely and wise editorial suggestions. In addition, I thank Erin Chase and Aaron Reeves for their editing and design contributions to this project and the entire LPI communications team for its invaluable support in developing and disseminating this report. Without their generosity of time and spirit, this work would not have been possible. This research was supported by the Raikes Foundation. Core operating support for the Learning Policy Institute is provided by the Sandler Foundation and the William and Flora Hewlett Foundation. We are grateful to them for their generous support. The ideas voiced here are those of the author and not those of our funders. External Reviewers This report benefited from the insights and expertise of two external reviewers: Kristin Blagg, Senior Research Associate at the Urban Institute; and Thurston Domina, Professor and Program Coordinator of Policy, Leadership, and School Improvement at the University of North Carolina, Chapel Hill. We thank them for the care and attention they gave the report. The appropriate citation for this report is: Cookson, P. W., Jr. (2020). Measuring student socioeconomic status: Toward a comprehensive approach. Palo Alto, CA: Learning Policy Institute. This report can be found online at https://learningpolicyinstitute.org/product/ measuring-student-socioeconomic-status. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.
    [Show full text]
  • Obesity and Inequities
    Obesity and inequities Guidance for addressing inequities in overweight and obesity Obesity and inequities Guidance for addressing inequities in overweight and obesity Written by: Belinda Loring Aileen Robertson Abstract This policy guidance aims to support European policy-makers to improve the design, implementation and evaluation of interventions and policies to reduce inequities in overweight and obesity. The prevalence of obesity in Europe is rising in many countries, and rising fastest in low socioeconomic population groups. There is a strong relationship between obesity and low socioeconomic status, especially for women. Reducing health inequities is a key strategic objective of Health 2020 – the European policy framework for health and well-being endorsed by the 53 Member States of the WHO European Region in 2012. This guide seeks to assist European policy-makers in contributing to achieving the objectives of Health 2020 in a practical way. It draws on key evidence, including from the Review of social determinants and the health divide in the WHO European Region. It sets out options to reduce the unequal distribution of obesity in Europe, through approaches which address the social determinants of obesity and the related health, social and economic consequences of the obesity inequity gradient. Keywords HEALTH POLICY OBESITY OVERWEIGHT SOCIAL DETERMINANTS OF HEALTH SOCIOECONOMIC FACTORS Address requests about publications of the WHO Regional Office for Europe to: Publications WHO Regional Office for Europe UN City, Marmorvej 51 DK-2100 Copenhagen Ø, Denmark Alternatively, complete an online request form for documentation, health information, or for permission to quote or translate, on the Regional Office website (http://www.euro.who.int/pubrequest).
    [Show full text]
  • Socioeconomic Status, Reactions to Choice Deprivation in Group
    Grand Valley State University ScholarWorks@GVSU Papers from the International Association for Cross- IACCP Cultural Psychology Conferences 2018 Socioeconomic Status, Reactions to Choice Deprivation in Group Contexts, and the Role of Perceived Restrictions on Personal Freedom Charis Eisen Kobe University, [email protected] Keiko Ishii Kobe University Hidefumi Hitokoto Fukuoka University Follow this and additional works at: https://scholarworks.gvsu.edu/iaccp_papers Part of the Psychology Commons This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Recommended Citation Eisen, C., Ishii, K., & Hitokoto, H. (2018). Socioeconomic status, reactions to choice deprivation in group contexts, and the role of perceived restrictions on personal freedom. In M. Karasawa, M. Yuki, K. Ishii, Y. Uchida, K. Sato, & W. Friedlmeier (Eds.), Venture into cross-cultural psychology: Proceedings from the 23rd Congress of the International Association for Cross-Cultural Psychology. https://scholarworks.gvsu.edu/iaccp_papers/153/ This Article is brought to you for free and open access by the IACCP at ScholarWorks@GVSU. It has been accepted for inclusion in Papers from the International Association for Cross-Cultural Psychology Conferences by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. SOCIOECONOMIC STATUS, CHOICE DEPRIVATION, AND PERSONAL FREEDOM 2 Abstract This research examined whether socioeconomic status (SES) predicts reactions to situations in which a group member decides for the entire group, thereby depriving other group members of personal choice. We found, as predicted, that Americans with higher subjective SES accepted choice deprivation less and demanded personal choice more than subjectively lower SES Americans.
    [Show full text]
  • Social Inequalities in Health: Disentangling the Underlying Mechanisms
    Social Inequalities in Health: Disentangling the Underlying Mechanisms Noreen Goldman Office of Population Research Princeton University I gratefully acknowledge support from the Behavioral and Social Research Program of the National Institute on Aging (grant R01-AG16790) and the National Institute of Child Health and Human Development (P30-HD32030). I would also like to thank Maryann Belanger for her tireless assistance in tracking down bibliographic materials and Burt Singer, Anne Pebley, Angus Deaton, and Maxine Weinstein for their advice and comments. Forthcoming: Conference Proceedings of the seminar on "Demography and Epidemiology: Frontiers in Population Health and Aging,” Georgetown University, Washington D.C. February 9-10, 2001. New York Academy of Sciences. Abstract Differentials in health and longevity by socioeconomic status and by the nature of social relationships have been found in innumerable studies in the social and medical sciences. Three categories of explanations for the observed patterns have been proposed: causal mechanisms through which the social environment affects health status or the risk of dying; selection or reverse causal pathways whereby a person’s health status affects their social position; and artifactual mechanisms such as measurement error. The general consensus among researchers is that the observed disparities in health are driven largely by a complex set of causal processes rather than by selection or by artifactual mechanisms. This paper explores the set of arguments and strategies that researchers have used to arrive at this conclusion. As part of this undertaking, we assess whether inferences regarding the minor contribution of selection to the overall association between social factors and health are justifiable.
    [Show full text]
  • Leveraging Strengths and Assets to Improve Health and Well-Being In
    Leveraging Strengths & Assets to Improve Rural Health & Well-Being And I think the greatest asset that we have in Appalachia is people and their identification with their culture and their home. --- Community member Michael Meit • Established in 1996 in honor of William B. Walsh, M.D., founder or Project HOPE. • Brought to NORC in 2003, with the mission of conducting research and analysis to improve rural health and well being in America. • Studies on behalf of the Federal Office of Rural Health Policy, the Robert Wood Johnson Foundation, the Centers for Disease Control and Prevention, USDA, the Appalachian Regional Commission, and many others. 2 3 4 5 6 7 8 Regional Differences in Mortality: Females; 25-64; Appalachia Michael Meit, Co-Director of the Walsh Center [email protected] 301-634-9324 Source: Centers for Disease Control and Prevention, National Center for Health Statistics, Multiple Cause of Death. Regional Differences in Mortality: Males; 25-64; Appalachia Michael Meit, Co-Director of the Walsh Center [email protected] 301-634-9324 Source: Centers for Disease Control and Prevention, National Center for Health Statistics, Multiple Cause of Death. Deaths of Despair in Appalachia Diseases of despair mortality rates, ages 15–64, by disease and region (2017)* In 2017, 13,613 deaths in Appalachia among 15 to 64 year olds were attributable to diseases of despair*: . 7,572 overdose deaths . 3,691 suicide deaths . 2,350 alcoholic liver disease/cirrhosis deaths *Data has been updated to include 2016 and 2017 data. The report included data through 2015. Meit M, Heffernan M, Tanenbaum E, Hoffman T.
    [Show full text]