Prevalence of multimorbidity in Thailand: a multilevel analysis of a population-based survey

Nirun Intarut, Parinya Srihatrai, Narongsak Chantawang


Background: The objective of the study was to estimate the prevalence of multimorbidity and to analyze the factors related to multimorbidity using multilevel analysis.

Methods: The data from the 2017 National Health and Welfare Survey was used. In total, 27,960 families and 65,781 participants were analyzed. Multilevel logistic regression analysis with 2-levels was performed to assess independent risk factors for the multimorbidity.

Results: Of 14,353 participants analyzed, 20.4% (95% confidence interval (CI): 20.1, 20.7) of those showed multimorbidity. 59% were females; 74.4% were 56-66 years, 68.7% had primary school level education, and 63.8% were reported being married. Multilevel multiple logistic regression results showed that the prevalence of multimorbidity was higher in females (adjusted OR (AOR): 1.2, 95% CI: 1.1, 1.3), older participants had higher risk of multimorbidity than younger people (p value for trend <0.01), married (AOR: 1.2; 95% CI: 1.0, 1.4), widowed or divorced (AOR: 1.3; 95% CI: 1.1, 1.5).

Conclusions: A high prevalence of multimorbidity in older patients was found. Tailored disease prevention programs and health care provider are needed to design and service for multimorbidity patients.


Multimorbidity, Aging, Chronic disease, Multilevel analysis

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