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1.
J Am Heart Assoc ; 6(8)2017 Aug 04.
Artigo em Inglês | MEDLINE | ID: mdl-28778943

RESUMO

BACKGROUND: Black persons have an excess burden of cardiovascular disease (CVD) compared with white persons. This burden persists after adjustment for socioeconomic status and other known CVD risk factors. This study evaluated the CVD burden and the socioeconomic gradient of CVD among black participants in the JHS (Jackson Heart Study). METHODS AND RESULTS: CVD burden was evaluated by comparing the observed prevalence of myocardial infarction, stroke, and hypertension in the JHS at baseline (2000-2004) with the expected prevalence according to US national surveys during a similar time period. The socioeconomic gradient of CVD was evaluated using logistic regression models. Compared with the national data, the JHS age- and sex-standardized prevalence ratios for myocardial infarction, stroke, and hypertension were 1.07 (95% CI, 0.90-1.27), 1.46 (95% CI, 1.18-1.78), and 1.51 (95% CI, 1.42-1.60), respectively, in men and 1.50 (95% CI, 1.27-1.76), 1.33 (95% CI, 1.12-1.57), and 1.43 (95% CI, 1.37-1.50), respectively, in women. A significant and inverse relationship was observed between socioeconomic status and CVD within the JHS cohort. The strongest and most consistent socioeconomic correlate after adjusting for age and sex was income for myocardial infarction (odds ratio: 3.53; 95% CI, 2.31-5.40) and stroke (odds ratio: 3.73; 95% CI, 2.32-5.97), comparing the poor and affluent income categories. CONCLUSIONS: Except for myocardial infarction in men, CVD burden in the JHS cohort was higher than expected. A strong inverse socioeconomic gradient of CVD was also observed within the JHS cohort.


Assuntos
Negro ou Afro-Americano , Doenças Cardiovasculares/etnologia , Disparidades nos Níveis de Saúde , Fatores Socioeconômicos , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Doenças Cardiovasculares/diagnóstico , Doenças Cardiovasculares/economia , Distribuição de Qui-Quadrado , Estudos Transversais , Feminino , Humanos , Hipertensão/diagnóstico , Hipertensão/economia , Hipertensão/etnologia , Renda , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Mississippi/epidemiologia , Infarto do Miocárdio/diagnóstico , Infarto do Miocárdio/economia , Infarto do Miocárdio/etnologia , Razão de Chances , Prevalência , Estudos Prospectivos , Fatores de Risco , Distribuição por Sexo , Acidente Vascular Cerebral/diagnóstico , Acidente Vascular Cerebral/economia , Acidente Vascular Cerebral/etnologia , Fatores de Tempo , Adulto Jovem
2.
ABNF J ; 21(1): 21-6, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-20169809

RESUMO

OBJECTIVE: To determine the effects of health insurance and race on prescription medication use and expense. METHODS: An observational, non-experimental design was used. Multivariable regression analyses were conducted to evaluate the independent effects of health insurance status and race on prescription medication use and expense while controlling for sociodemographic, geographic, and health status characteristics. The sample consisted of 19,035 participants in the 1996 through 2003 Medical Expenditure Panel Survey. FINDINGS: European Americans spent about $300 to $400 more and used three to four more prescriptions annually compared to other racial groups. Prescription medication expenses increased as time spent uninsured increased. Participants with part-year coverage filled four fewer prescriptions than those with full-year health insurance coverage. Participants with private coverage spent less on prescription medications compared to those with public and those with dual public and private coverage ($1,194 vs. $1,931 and $2,076, respectively; p < or = 0.001). CONCLUSIONS: Significant racial and health insurance status disparities in prescription medication use and expenses exist after controlling for sociodemographic, geographic, and health status characteristics.


Assuntos
Negro ou Afro-Americano/estatística & dados numéricos , Prescrições de Medicamentos/estatística & dados numéricos , Hispânico ou Latino/estatística & dados numéricos , Cobertura do Seguro/organização & administração , Seguro Saúde/organização & administração , População Branca/estatística & dados numéricos , Adulto , Feminino , Pesquisas sobre Atenção à Saúde , Acessibilidade aos Serviços de Saúde , Disparidades nos Níveis de Saúde , Disparidades em Assistência à Saúde/estatística & dados numéricos , Humanos , Masculino , Pessoas sem Cobertura de Seguro de Saúde/etnologia , Pessoas sem Cobertura de Seguro de Saúde/estatística & dados numéricos , Pessoa de Meia-Idade , Análise Multivariada , Análise de Regressão , Fatores Socioeconômicos , Estados Unidos
3.
Am J Med Sci ; 331(4): 166-74, 2006 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-16617231

RESUMO

This paper provides an overview of the evidence on the current epidemic of obesity in the United States. The prevalence of overweight and obesity now exceeds 60% among US adults, and the rate is rapidly increasing among children and adolescents. Dismal medical, social, and economic consequences are already apparent and likely to worsen without multipronged intervention. Increased rates of hypertension, diabetes, and dyslipidemia, among other medical conditions, threaten to shorten the longevity of the American populace by as much as 5 years. The incidence of depression is increasing and experts suggest this is linked with the increased prevalence of obesity. The cost of obesity-related medical care has increased astronomically since 1987, in addition to lost productivity and income. Novel multidisciplinary, preventive, and therapeutic approaches, and social changes are needed that address the complex interplay of biologic, genetic, and social factors that have created the current obesity epidemic.


Assuntos
Obesidade/complicações , Obesidade/epidemiologia , Sobrepeso , Saúde Pública , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/mortalidade , Depressão/epidemiologia , Diabetes Mellitus/epidemiologia , Diabetes Mellitus/etiologia , Diabetes Mellitus/mortalidade , Feminino , Humanos , Hipertensão/epidemiologia , Hipertensão/etiologia , Hipertensão/mortalidade , Estilo de Vida , Longevidade , Masculino , Obesidade/etiologia , Obesidade/terapia , Sobrepeso/etnologia , Saúde Pública/economia , Fatores de Risco , Fatores Socioeconômicos
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