Spatial-temporal distribution patterns and influencing factors analysis of comorbidity prevalence of chronic diseases among middle-aged and elderly people in China: focusing on exposure to ambient fine particulate matter (PM_2.5).

ABSTRACT:

Objective

This study describes regional differences and dynamic changes in the prevalence of comorbidities among middle-aged and elderly people with chronic diseases (PCMC) in China from 2011-2018, and explores distribution patterns and the relationship between PM_2.5 and PCMC, aiming to provide data support for regional prevention and control measures for chronic disease comorbidities in China.

Methods

This study utilized CHARLS follow-up data for ≥ 45-year-old individuals from 2011, 2013, 2015, and 2018 as research subjects. Missing values were filled using the random forest machine learning method. PCMC spatial clustering investigated using spatial autocorrelation methods. The relationship between macro factors and PCMC was examined using Geographically and Temp

SUBMITTER: Zhang L 

PROVIDER: S-EPMC10882846 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature