Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors.

ABSTRACT: This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi Province, China using multivariate logistic regression analysis and tabu search-based Bayesian networks (BNs). A multi-stage stratified random sampling method was adopted to obtain samples among the general population aged 18 years or above. The prevalence of hyperlipidemia in Shanxi Province was 42.6%. Multivariate logistic regression analysis indicated that gender, age, region, occupation, vegetable intake level, physical activity, body mass index, central obesity, hypertension, and diabetes mellitus are associated with hyperlipidemia. BNs were used to find connections between those related factors and hyperlipidemia, which were established by a complex network structure. The results showed that

SUBMITTER: Pan J 

PROVIDER: S-EPMC5830606 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature