ArticleInternational health2024
Impact of age and gender differences in the prevalence and patterns of multimorbidity in the Thai Cohort Study.
Article in International health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Psychosocial and Demographic Factors Associated with Physical Multimorbidity in Severe Mental Illness: A Systematic Review.Schizophrenia bulletin · 2026Pooled it
- Sex differences in multimorbidity: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- Health Literacy and Chronic Disease Self-Efficacy Among Older Adults with Multimorbidity: Evidence from Low-Resource Context.Healthcare (Basel, Switzerland) · 2026Article
- Morbidity Among the Aging Population in Northern Bangladesh: An Epidemiological Study.Aging medicine (Milton (N.S.W)) · 2026Article
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- Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models.JMIR medical informatics · 2025Article
- Spatial Analysis of patterns of Multimorbidity in the Thai Cohort Study Using Latent Class Analysis.Journal of epidemiology and global health · 2025Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study aims to identify the common patterns of multimorbidity and their distribution by age and gender.
methodThis cross-sectional study collected self-reported data from 42 785 Thai Cohort Study members through mailed questionnaires. Employing prevalence-based analysis, it identified common multimorbidity (coexistence of two or more chronic conditions) patterns, analysing the three most common patterns stratified by age and sex. P for trend (p-trend) was used to test the linear trend for associations between age and prevalence of these chronic conditions in the multimorbidity patterns.
resultsChronic conditions with the highest prevalence were related to metabolic syndromes: obesity (28.5%), hyperlipidaemia (13.2%) and hypertension (7.2%). A positive linear age-multimorbidity association was observed (p-trend = 0.0111). The 60+ participants averaged 1.20 diseases, with 33.7% multimorbidity prevalence. Hyperlipidaemia + obesity was most prevalent in the under-40 multimorbid group (38.7%). Men exhibited a higher prevalence of multimorbidity and associated patterns involving hypertension, hyperlipidaemia and obesity than women.
conclusionMetabolic syndrome components were the prominent factors driving multimorbidity. Significant age and gender differences were also revealed in multimorbidity prevalence. People aged 60+ faced high risk of multimorbidity, while younger individuals tended towards the multimorbidity pattern of obesity and hyperlipidaemia. Men were more susceptible to multimorbidity patterns associated with metabolic syndromes. Future studies for metabolic-related multimorbidity should consider these differences, addressing age and gender issues.
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