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Am Heart J ; 204: 109-118, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30092412

RESUMO

BACKGROUND: Cardiovascular disease is a leading economic and medical burden in the United States (US). As an important risk factor for cardiovascular disease, hypertension represents a critical point of intervention. Less is known about longitudinal effects of neighborhood deprivation on blood pressure outcomes, especially in light of new hypertension guidelines. METHODS: Longitudinal data from the Dallas Heart Study facilitated multilevel regression analysis of the relationship between neighborhood deprivation, blood pressure change, and incident hypertension over a 9-year period. Factor analysis explored neighborhood perception, which was controlled for in all analyses. Neighborhood deprivation was derived from US Census data and divided into tertiles for analysis. Hypertension status was compared using pre-2017 and 2017 hypertension guidelines. RESULTS: After adjusting for covariates, including moving status and residential self-selection, we observed significant associations between residing in the more deprived neighborhoods and 1) increasing blood pressure over time and 2) incident hypertension. In the fully adjusted model of continuous blood pressure change, significant relationships were seen for both medium (SBP: ß = 4.81, SE = 1.39, P = .0005; DBP: ß = 2.61, SE = 0.71, P = .0003) and high deprivation (SBP: ß = 7.64, SE = 1.55, P < .0001; DBP: ß = 4.64, SE = 0.78, P < .0001). In the fully adjusted model of incident hypertension, participants in areas of high deprivation had 1.69 higher odds of developing HTN (OR 1.69; 95% CI 1.02, 2.82), as defined by 2017 hypertension guidelines. Results varied based on definition of hypertension used (pre-2017 vs. 2017 guidelines). CONCLUSION: These findings highlight the potential impact of adverse neighborhood conditions on cardiometabolic outcomes, such as hypertension.


Assuntos
Status Econômico , Hipertensão/epidemiologia , Áreas de Pobreza , Características de Residência/estatística & dados numéricos , Adulto , Feminino , Humanos , Incidência , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Texas/epidemiologia
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