Projections for obesity, smoking and hypertension based on multiple imputation.

ABSTRACT:

Aims

Information on the future development of prevalences of risk factors and health indicators is needed to prepare for the forthcoming burden of disease in the population and to allocate resources properly for prevention. We aim to present how multiple imputation can be used flexibly to project future prevalences.

Methods

The proposed approach uses data on repeated cross-sectional surveys from different years. We create future samples with age and sex distributions corresponding to the official national population forecasts. Then, the risk factors are simulated using multiple imputation by chained equations. Finally, the imputations are pooled to obtain the prevalences of interest. Covariates, such as sociodemographic variables as well as their possible interactions and no

SUBMITTER: Reinikainen J 

PROVIDER: S-EPMC10350717 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature