Supplementary material

Supplementary Figure 1 – Metropolitan Region

Epidemiol. Serv. Saude, Brasília, 26(4), Oct-Dec 2017 Supplementary material

Supplementary Table 1 – Planned and performed interviews by sex and age quotas in each census tract – and resulting weight for statistical analysis – in Manaus Metropolitan Region, 2015

Age Municipality Sex (in years) Range Planned Performed Weight da Várzea Men 18-24 1,519 4 4 379.75 Careiro da Várzea Men 25-34 1,771 5 5 354.20 Careiro da Várzea Men 34-44 1,749 5 6 349.80 Careiro da Várzea Men 45-59 1,565 4 4 391.25 Careiro da Várzea Men 60 + 1,101 3 3 367.00 Careiro da Várzea Women 18-24 1,416 4 4 354.00 Careiro da Várzea Women 25-34 1,694 4 4 423.50 Careiro da Várzea Women 34-44 1,422 4 4 355.50 Careiro da Várzea Women 45-59 1,269 4 4 317.25 Careiro da Várzea Women 60 + 858 3 3 286.00 Men 18-24 2,617 8 8 327.13 Iranduba Men 25-34 3,254 10 10 325.40 Iranduba Men 34-44 2,367 7 7 338.14 Iranduba Men 45-59 2,291 7 7 327.29 Iranduba Men 60 + 1,581 5 5 316.20 Iranduba Women 18-24 2,479 7 8 354.14 Iranduba Women 25-34 3,138 10 10 313.80 Iranduba Women 34-44 2,121 6 6 353.50 Iranduba Women 45-59 1,991 6 5 331.83 Iranduba Women 60 + 1,327 4 4 331.75 Itacoatiara Men 18-24 5,520 18 18 306.67 Itacoatiara Men 25-34 6,888 20 20 344.40 Itacoatiara Men 34-44 5,020 15 15 334.67 Itacoatiara Men 45-59 4,881 14 14 348.64 Itacoatiara Men 60 + 3,289 10 10 328.90 Itacoatiara Women 18-24 5,314 17 18 312.59 Itacoatiara Women 25-34 6,821 20 20 341.05 Itacoatiara Women 34-44 4,685 14 14 334.64 Itacoatiara Women 45-59 4,410 13 15 339.23 Itacoatiara Women 60 + 3,040 9 10 337.78 Men 18-24 5,864 17 16 344.94 Manacapuru Men 25-34 6,558 19 19 345.16 Manacapuru Men 34-44 4,598 14 14 328.43 Manacapuru Men 45-59 4,263 13 13 327.92 Manacapuru Men 60 + 3,080 8 8 385.00 Manacapuru Women 18-24 5,696 17 17 335.06 Manacapuru Women 25-34 6,511 19 20 342.68 Manacapuru Women 34-44 4,387 13 13 337.46 Manacapuru Women 45-59 4,015 12 12 334.58 Manacapuru Women 60 + 2,757 8 8 344.63 Continue on next page

Epidemiol. Serv. Saude, Brasília, 26(4), Oct-Dec 2017 Supplementary material

Supplementary Table 1 – Conclusion

Age Municipality Sex (in years) Range Planned Performed Weight Manaus Men 18-24 120,795 356 329 339.31 Manaus Men 25-34 171,077 504 472 339.44 Manaus Men 34-44 123,673 364 350 339.76 Manaus Men 45-59 106,849 314 326 340.28 Manaus Men 60 + 46,880 138 146 339.71 Manaus Women 18-24 127,612 376 387 339.39 Manaus Women 25-34 181,983 536 538 339.52 Manaus Women 34-44 129,977 383 394 339.37 Manaus Women 45-59 115,214 339 348 339.86 Manaus Women 60 + 61,201 180 189 340.01 Novo Airão Men 18-24 1,045 3 3 348.33 Novo Airão Men 25-34 1,192 3 3 397.33 Novo Airão Men 34-44 773 2 2 386.50 Novo Airão Men 45-59 867 2 2 433.50 Novo Airão Men 60 + 518 1 1 518.00 Novo Airão Women 18-24 985 3 3 328.33 Novo Airão Women 25-34 1,101 3 3 367.00 Novo Airão Women 34-44 719 1 1 719.00 Novo Airão Women 45-59 716 1 1 716.00 Novo Airão Women 60 + 435 1 1 435.00 Men 18-24 1,690 5 5 338.00 Presidente Figueiredo Men 25-34 2,323 7 7 331.86 Presidente Figueiredo Men 34-44 1,764 5 5 352.80 Presidente Figueiredo Men 45-59 1,944 6 6 324.00 Presidente Figueiredo Men 60 + 876 3 3 292.00 Presidente Figueiredo Women 18-24 1,611 5 8 322.20 Presidente Figueiredo Women 25-34 2,203 7 8 314.71 Presidente Figueiredo Women 34-44 1,551 5 5 310.20 Presidente Figueiredo Women 45-59 1,426 5 8 285.20 Presidente Figueiredo Women 60 + 580 2 2 290.00 Men 18-24 1,854 5 5 370.80 Rio Preto da Eva Men 25-34 2,356 7 7 336.57 Rio Preto da Eva Men 34-44 1,703 4 4 425.75 Rio Preto da Eva Men 45-59 1,560 4 4 390.00 Rio Preto da Eva Men 60 + 799 2 2 399.50 Rio Preto da Eva Women 18-24 1,870 5 5 374.00 Rio Preto da Eva Women 25-34 2,161 6 6 360.17 Rio Preto da Eva Women 34-44 1,493 3 3 497.67 Rio Preto da Eva Women 45-59 1,199 3 3 399.67 Rio Preto da Eva Women 60 + 614 1 1 614.00

Epidemiol. Serv. Saude, Brasília, 26(4), Oct-Dec 2017 Supplementary material

Supplementary Table 2 – Categories, variables and measurements of the questionnaire applied in Manaus Metropolitan Region, 2015

Categories Variable and mensuration a Lifestyle Anthropometric Height (in cm), weight (in kg), pregnancy in the last 12 months (only women)

Demographic Sex (male, female), age (in years), ethnicity/skin color (white, black, Asian, brown, indigenous)

Marital status (married, separated, divorced, widowed, single), number of people living in the house, number Housing of children under 5 years old living in the house

Education level (no schooling, incomplete elementary school, complete elementary school, incomplete middle school, complete middle school, incomplete high school, complete high school, incomplete higher education, higher education degree, incomplete post-graduation, post-graduation degree), occupation (does not work, Socioeconomic student, retired, domestic worker, soldier, seaman, airman, police officer, fireman, private sector employee, public sector employee, employer, freelancer, other), economic class (according to the 2015 Brazilian Economic Classification Criteria: A, B1, B2, C1, C2, D and E14)

Household risks Storage of clandestine household cleaning products and medicines (yes, no), in locked or high place (yes, no)

Night shift work, uninterrupted shifts, stress and exposure to chemical products, noise, sun radiation, waste, Occupational risks biologic materials, and industrial dust (yes, no) Use of health services and inputs Primary health care Household registered at Family Health Strategy (FHS) (yes, no), frequency of FHS professional’s visits

Type (medical, dental), funding (own, company, public employment), length of coverage and quality (very Private health insurance good, good, regular, bad, very bad)

Reference health service, place of search when needed (type and municipality), medical visit (last visit, frequency, type, waiting time, length, quality), last dental visit, last search for health service (reason, place, Health service frequency, assistance at first attempt), reason for not using, hospitalization (use, frequency, reason, funding, quality), emergency care at home (use, funding, quality, use of ambulance), discriminatory experiences in health services, lack of access to needed surgery

Alternative medicine Acupuncture, homeopathy, medicinal plants/phytotherapy, other (use, last time, funding)

Use in the previous 15 days and on the day of the interview (medicine, reason, time of use, responsible for Use of medicines indication, form of acquisition) Individual’s health Self-assessment of health status and quality of life by the Brazilian valuation of the EuroQol-5 Dimensions-3 Health status Levels (EQ-5D-3L)22

Anxiety based on the Generalized Anxiety Disorder Screener (GAD-7), Protuguese version23, depression by the Mental health Patient Health Questionnaire (PHQ-9), Brazilian validated version24, drugs use by the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), Brazilian validated version25.

Asthma by the European Community Respiratory Health Survey (ECRHS), Brazilian validated version26, chronic Respiratory diseases obstructive pulmonary disease (COPD)

Hypertension, diabetes, hypercholesterolemia, heart problems, stroke, respiratory problems, arthritis, chronic Self-reported diseases back pain, mood disorders, cancer, kidney diseases, dengue, malaria a) All information was self-reported by participants as answers to the interview’s questions.

Epidemiol. Serv. Saude, Brasília, 26(4), Oct-Dec 2017