Clustering of multiple health risk behaviors and its association with diabetes in a Southern Chinese adult population: a cross-sectional study.

ABSTRACT:

Background

Identifying the clustering patterns of health risk behaviors (HRBs) within individuals and their health impacts are essential to develop lifestyle promotion strategies. This study aimed to explore the clustering of a range of HRBs and the associations between such identified clusters and diabetes in Southern Chinese adults.

Methods

Data from 5,734 adults aged 35-75 years and underwent health examinations from November 2012 to December 2013 at a tertiary hospital in Guangzhou were analyzed. Behavioral characteristics, including smoking, alcohol use, physical activity, and sleep duration and quality, were measured by questionnaires. Latent class analysis was conducted by gender to identify HRBs clustering patterns, and logistic regression models were used to estimat

SUBMITTER: Zhang G 

PROVIDER: S-EPMC7224225 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature