Unknown

Dataset Information

Frequency and types of clusters of major chronic diseases in 0.5 million adults in urban and rural China.


ABSTRACT:

Background

Little is known about the frequency and types of disease clusters involving major chronic diseases that contribute to multimorbidity in China. We examined the frequency of disease clusters involving major chronic diseases and their relationship with age and socioeconomic status in 0.5 million Chinese adults.

Methods

Multimorbidity was defined as the presence of at least two or more of five major chronic diseases: stroke, ischaemic heart disease (IHD), diabetes, chronic obstructive pulmonary disease (COPD) and cancer. Multimorbid disease clusters were estimated using both self-reported doctor-diagnosed diseases at enrolment and incident cases during 10-year follow-up. Frequency of multimorbidity was assessed overall and by age, sex, region, education and income. As

SUBMITTER: Hariri P 

PROVIDER: S-EPMC9125108 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature