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ABSTRACT: Background
Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society.Methods
Original data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model.Results
SUBMITTER: Zhang L
PROVIDER: S-EPMC7448450 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature