This page was translated automatically from Turkish. Read the original

This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

The epidemiology of insomnia in China: prevalence, sociodemographic correlates, and its role in multimorbidity involving chronic physical and mental conditions in a nationally representative sample

Epidemiology of insomnia in china: prevalence, sociodemographic correlates and role in multimorbidity of chronic physical and mental conditions in a nationally representative sample

Insomnia symptoms are common in China and are associated more strongly with the burden of multimorbidity than with individual types of illness; in network analysis, they emerge as the most influential bridge node linking physical and mental multimorbidity.

The study aimed to estimate the prevalence of insomnia symptoms in a nationally representative sample of Chinese adults, examine their sociodemographic correlates, and investigate their role within a multimorbidity framework encompassing a broad range of chronic mental and physical conditions. The China Mental Health Survey (CMHS) is a nationwide cross-sectional study conducted with a representative adult sample (n=28,140). Face-to-face interviews using the Composite International Diagnostic Interview 3.0 (CIDI-3.0) assessed insomnia symptoms over the preceding 12 months, DSM-IV mental disorders, and chronic physical conditions. Descriptive statistics and logistic regression were used to estimate prevalence and associations with the types and number of 16 physical and 6 mental conditions, while Ising network analysis examined the system-level role of insomnia in the physical–mental multimorbidity network. The weighted prevalence of insomnia symptoms was 17.1% (15.4–19.0%), and the prevalence of insomnia accompanied by impaired daily functioning was 8.0% (7.1–9.1%); these rates varied significantly by age, sex, region, education, employment status, and marital status. In adjusted multivariable models, the number of co-occurring conditions explained more variance than models based on condition types; when all condition types were included in the model, 11 physical and 4 mental conditions were independently associated with insomnia symptoms. Network analysis identified insomnia symptoms as the most influential and stable bridge node linking physical and mental multimorbidity, and as a central node in the network consisting solely of physical conditions.

All WCP 2026 summaries