Ontology highlight
ABSTRACT: Background
Multimorbidity substantially increases health and economic burdens, and reduces productivity in working-age individuals. We conducted a study using data from 393,170 working-age inpatients (18-59 years) in Shaanxi, China, collected from 1998 to 2018. We aimed to identify multimorbidity profiles by sex and age and explore multimorbidity patterns using network analysis.Methods
The sampling technique in our study involved forming two cohorts-blood donor and non-blood donor groups-from Shaanxi Province, China, based on age, sex, and region using a 1:1 matching method, resulting in 393,170 inpatient hospitalisation records for the working-age population. A total of 223,524 logistic regressions were conducted to explore statistically significant multimorbidity patterns
SUBMITTER: Bao Y
PROVIDER: S-EPMC12462151 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature