Urban-Rural Differences in Patterns and Associated Factors of Multimorbidity Among Older Adults in China: A Cross-Sectional Study Based on Apriori Algorithm and Multinomial Logistic Regression.

ABSTRACT: Introduction: Multimorbidity has become one of the key issues in the public health sector. This study aimed to explore the urban-rural differences in patterns and associated factors of multimorbidity in China and to provide scientific reference for the development of health management strategies to reduce health inequality between urban and rural areas. Methods: A cross-sectional study, which used a multi-stage random sampling method, was conducted effectively among 3,250 participants in the Shanxi province of China. The chi-square test was used to compare the prevalence of chronic diseases among older adults with different demographic characteristics. The Apriori algorithm and multinomial logistic regression were used to explore the patterns and associated factors of multimo

SUBMITTER: Zhang C 

PROVIDER: S-EPMC8437131 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature