11 research outputs found

    A prospective cohort study of neighborhood stress and ischemic heart disease in Japan: a multilevel analysis using the JACC study data

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    <p>Abstract</p> <p>Background</p> <p>A body of research has shown that neighborhood environment may have an effect on a variety of health outcomes, including cardiovascular disease. One explanation for the mechanism of the effect of neighborhood on cardiovascular disease is psychosocial pathways. Direct evidence for an effect of neighborhood on cardiovascular disease with adjustment for perceived stress at the individual level has not been obtained, however. The Japan Collaborative Cohort Study for the Evaluation of Cancer Risk provides a unique dataset which has aggregated area-based cohorts from 45 areas throughout Japan. The purpose of the present study was to examine the contextual effect of area-level stress on ischemic heart disease using data from a large prospective cohort in Japan.</p> <p>Methods</p> <p>A baseline survey of 110,792 residents of 45 areas aged 40-79 years was conducted between 1988 and 1990. Analysis was restricted to subjects from the 33 of 45 areas providing information about self-rated stress (32183 men and 45896 women). Multilevel Poisson regression models were employed in a two-level structure of individuals nested within the 33 areas. Area-level stress was calculated by sex as the number of persons who rated their stress level as high divided by the total number of subjects in that area. Mortality rate ratios (MRRs) per 1 percentage point increase in area-level stress were estimated with adjustment for compositional individual factors.</p> <p>Results</p> <p>During 15 years of follow-up (1,116,895 person-years), 936 deaths due to ischemic heart disease were recorded. Area-level stress varied from 6% to 22%. In the multivariable models, MRRs of area-level stress were 1.06 (95% confidence interval: 1.00-1.12, p = 0.043) in men and 1.07 (95% confidence interval: 1.00-1.14, p = 0.057) in women.</p> <p>Conclusions</p> <p>Area-level stress affects the likelihood of death due to ischemic heart disease of individuals in men. The present findings may suggest that stress should be considered not only within the individual but also within the neighborhood context.</p

    Neighborhood sociodemographic and environmental contexts and self-rated health among Brazilian adults: a multilevel study O contexto sociodemográfico e ambiental da vizinhança e autopercepção de saúde em adultos de um município do Sul do Brasil: um estudo multinível

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    The aim of this study was to investigate the association between sociodemographic and environmental contexts on self-rated health. A population-based cross-sectional study with a random sample of 38 neighborhoods (census tracts) and 1,100 adults was carried out. Data analysis used multilevel logistic regression. Data from the Brazilian Census of 2000, mean income, years of study of the head of household and mean number of residents per tract were R955(SD=586),8years(SD=3),and746residents(SD=358)respectively.Higherprevalencesoffair/poorselfratedhealthwerefoundinneighborhoodswithgreaterpopulationsandlowerincome/schoolinglevels.Aftercontrolforindividualvariables,theoddsforfair/poorselfratedhealthwastwiceashighinmorepopulous(OR=2.04;95955 (SD = 586), 8 years (SD = 3), and 746 residents (SD = 358) respectively. Higher prevalences of fair/poor self-rated health were found in neighborhoods with greater populations and lower income/schooling levels. After control for individual variables, the odds for fair/poor self-rated health was twice as high in more populous (OR = 2.04; 95%CI: 1.15-3.61) and lower-income neighborhoods (OR = 2.29; 95%CI: 1.16-4.50) compared to less populous, higher-income ones. Self-rated health depends on individual characteristics and the sociodemographic context of neighborhoods.<br>O objetivo foi investigar a associação entre o contexto sociodemográfico e ambiental e a autopercepção de saúde. Realizou-se um estudo transversal de base populacional com uma amostra aleatória de 38 vizinhanças (setor censitário) e 1.100 adultos de São Leopoldo, Rio Grande do Sul, Brasil. A análise dos dados utilizou regressão logística multinível. Dados do Instituto Brasileiro de Geografia e Estatística no ano 2000, as médias de renda e anos de estudo do chefe do domicílio, e o número de residentes por vizinhança eram R955,00 (DP = 586), 8 anos (DP = 3) e 746 (DP = 358), respectivamente. Após o controle por aspectos sociodemográficos, comportamentais e relacionados ao serviço no nível individual, as chances de relatar uma autopercepção de saúde como razoável ou ruim eram cerca de duas vezes maiores em vizinhanças mais populosas (OR = 2,04; IC95%: 1,15-3,61) e nas com baixa renda (RP = 2,29; IC95%: 1,16-4,50), quando comparadas às com baixo número de residentes e com alta renda. Resultados sugerem que a autopercepção de saúde depende das características do indivíduo e do contexto sociodemográfico em que ele vive
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