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1.
Am J Cardiol ; 123(2): 284-290, 2019 01 15.
Artigo em Inglês | MEDLINE | ID: mdl-30442363

RESUMO

Neighborhood socioeconomic status (nSES) is associated with cardiovascular morbidity and mortality in the general population; however, its effect on high-risk patients with prevalent coronary artery disease (CAD) is unclear. We hypothesized "double jeopardy," whereby the association between nSES and adverse outcomes would be greater in high-risk patients with heart failure (HF) and/or previous myocardial infarction (MI) compared with those without. We followed 3,635 patients (mean age 63.2 years, 42% with HF, 25% with previous MI) with known or suspected CAD over a median of 3.3 years for all-cause death and cardiovascular death or nonfatal MI. Patients were categorized by a composite nSES score, and proportional hazards models were used to determine the association between nSES and outcomes. Cross-product interaction terms for previous MI × nSES and HF × nSES were analyzed. Compared with high nSES patients, low nSES patients had increased risk of all-cause death (hazard ratio [HR] = 1.61; 95% confidence interval [CI] = 1.20, 2.15) and cardiovascular death or MI (subdistribution HR [sHR] = 1.82; 95% CI = 1.30, 2.54). Associations were more pronounced among patients without HF or previous MI. Low nSES patients without HF had a higher risk of all-cause death (HR = 2.27; 95% CI = 1.41, 3.65) compared with those with HF (HR = 1.21; 95% CI = 0.82, 1.77, P interaction = 0.04). Similarly, low nSES patients without previous MI had a higher risk of cardiovascular death or MI (sHR = 2.72; 95% CI = 1.73, 4.28) compared with those with previous MI (sHR = 1.02; 95% CI = 0.58, 1.81, P interaction = 0.02). In conclusion, low nSES was independently associated with all-cause death and cardiovascular death or MI in patients with CAD; however, associations were greater in patients without HF or previous MI compared with those with HF or MI.


Assuntos
Doença da Artéria Coronariana/mortalidade , Insuficiência Cardíaca/epidemiologia , Mortalidade , Infarto do Miocárdio/epidemiologia , Características de Residência , Classe Social , Estudos de Coortes , Feminino , Seguimentos , Georgia/epidemiologia , Humanos , Masculino , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais
2.
Health Place ; 46: 183-191, 2017 07.
Artigo em Inglês | MEDLINE | ID: mdl-28544991

RESUMO

We investigated whether associations of neighborhood social environment attributes and physical activity differed among 12 countries and levels of economic development using World Bank classification (low/lower-middle-, upper-middle- and high- income countries) among 9-11 year old children (N=6161) from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Collective efficacy and perceived crime were obtained via parental/guardian report. Moderate-to-vigorous physical activity (MVPA) was assessed with waist-worn Actigraph accelerometers. Neighborhood environment by country interactions were tested using multi-level statistical models, adjusted for covariates. Effect estimates were reported by country and pooled estimates calculated across World Bank classifications for economic development using meta-analyses and forest plots. Associations between social environment attributes and MVPA varied among countries and levels of economic development. Associations were more consistent and in the hypothesized directions among countries with higher levels economic development, but less so among countries with lower levels of economic development.


Assuntos
Exercício Físico , Internacionalidade , Características de Residência/estatística & dados numéricos , Meio Social , Criança , Desenvolvimento Econômico , Feminino , Humanos , Masculino , Inquéritos e Questionários
3.
Prev Med ; 61: 1-5, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24378205

RESUMO

OBJECTIVE: To examine possible associations between perceived neighborhood environments and obesity among a U.S. nationally representative sample of Afro-Caribbean, African American, and Non-Hispanic white adults. METHODS: Data was used from the 2001-2003 National Survey of American Life (NSAL). All measures including neighborhood characteristics, height, and weight were self-reported. Multivariate logistic regression was used to compute odds ratios (ORs) of obesity (body mass index (BMI) ≥ 30 kg/m(2)) based on perceived neighborhood physical and social characteristics. RESULTS: The odds of obesity were significantly lower for adults who reported involvement in clubs, associations, or help groups (odds ratio (OR): 0.62; 95% confidence interval (CI): 0.44, 0.85) and perceived that they had a park, playground, or open space in their neighborhood (odds ratio (OR): 0.68; 95% confidence interval (CI): 0.47, 0.98). These associations remained significant after adjusting for leisure-time physical activity. Race/ethnicity appeared to modify the association between involvement in clubs, associations, or help groups and obesity. CONCLUSIONS: Providing parks, playgrounds, or open space or increasing the perception of those amenities may assist in the prevention of obesity, especially in ethnically diverse neighborhoods in the United States. More research is needed to investigate how perceptions of the neighborhood environment influence obesity and whether perceptions of the neighborhood environment differ between individuals within the same neighborhoods.


Assuntos
Negro ou Afro-Americano/psicologia , Planejamento Ambiental , Obesidade/epidemiologia , Características de Residência , Meio Social , População Branca/psicologia , Adulto , Negro ou Afro-Americano/estatística & dados numéricos , Índice de Massa Corporal , Região do Caribe/etnologia , Comparação Transcultural , Estudos Transversais , Projetos de Pesquisa Epidemiológica , Exercício Físico/psicologia , Feminino , Disparidades nos Níveis de Saúde , Inquéritos Epidemiológicos , Humanos , Atividades de Lazer , Modelos Logísticos , Masculino , Análise Multivariada , Obesidade/etnologia , Obesidade/prevenção & controle , Estados Unidos/epidemiologia , População Branca/estatística & dados numéricos
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