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BMC Public Health ; 20(1): 1004, 2020 Jun 26.
Artigo em Inglês | MEDLINE | ID: mdl-32586296

RESUMO

BACKGROUND: Cardiovascular diseases (CVDs) accounted for over 17 million deaths and 353 million disability-adjusted life years lost in 2016. The risk factors are also high and increasing with high blood pressure, smoking, and high body mass index contributed to up to 212 million disability-adjusted life years in 2016. To help reduce the burden, it is crucial to understand the geographic and socioeconomic disparities in CVD risk factors. METHODS: Employing both geospatial and quantitative analyses, we analyzed the disparities in the prevalence of smoking, physical inactivity, obesity, hypertension, and diabetes in Indonesia. CVD data was from Riskesdas 2018, and socioeconomic data was from the World Bank. RESULTS: Our findings show a very high prevalence of CVD risk factors with the prevalence of smoking, physical activity, obesity, hypertension ranged from 28 to 33%. Results also show the geographic disparity in CVD risk factors in all five Indonesian regions. Moreover, results show socioeconomic disparity with the prevalence of obesity, hypertension, and diabetes are higher among urban and the richest and most educated districts while that physical inactivity and smoking is higher among rural and the least educated districts. CONCLUSION: The CVD burden is high and increasing in particularly among urban areas and districts with higher income and education levels. While the government needs to continue tackling the persistent burden from maternal mortality and infectious diseases, they need to put more effort into the prevention and control of CVDs and their risk factors.


Assuntos
Índice de Massa Corporal , Doenças Cardiovasculares/epidemiologia , Disparidades nos Níveis de Saúde , Comportamento Sedentário , Adulto , Idoso , Diabetes Mellitus/epidemiologia , Exercício Físico , Feminino , Humanos , Hipertensão/epidemiologia , Indonésia/epidemiologia , Estilo de Vida , Masculino , Pessoa de Meia-Idade , Obesidade/epidemiologia , Prevalência , Fatores de Risco , População Rural/estatística & dados numéricos , Fumar/epidemiologia , Fatores Socioeconômicos
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