Evidence map›Paper›PMID 40336103›Full record

ArticleArchives of public health = Archives belges de sante publique2025

The spatial analysis of multimorbidity in Thai Cohort Study.

Xiyu Feng, Haribondhu Sarma, Nasser Bagheri, Tsheten Tsheten, Sam-Ang Seubsman, Adrian Sleigh, Matthew Kelly

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Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiyu FengNational Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia. u6453474@anu.edu.au.
Haribondhu SarmaNational Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia.
Nasser BagheriHealth Research Institute, University of Canberra, Canberra, Australia.
Tsheten TshetenNational Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia.
Sam-Ang SeubsmanSchool of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand.
Adrian SleighNational Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia.
Matthew KellyNational Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study used Thai Cohort Study (TCS) data to investigate the spatial and sociodemographic determinants of multimorbidity (two or more chronic conditions coexistence on one person) prevalence in Thailand in 2013.

methodsCrude and age-adjusted prevalence were calculated for each province. Hotspot analysis was conducted to identify regions with statistically significant hotspots and cold spots, including areas without significant clustering. Then, ordinal logistic regression was used to identify sociodemographic background variables that predict hotpots.

resultsThe highest age-adjusted provincial level prevalence of multimorbidity was in Sing Buri (18.26%). Sak Lek District in Phichit Province also had the highest age-adjusted district level prevalence of multimorbidity at 37.13%. The cold spots region in crude and age-adjusted prevalence of multimorbidity were clustered in Southern Thailand. Forty-eight districts were identified as hotspots in both crude and age-adjusted multimorbidity prevalence, 19 of which are in Bangkok (the capital). Population density (person/km

conclusionThis study shows that the prevalence of multimorbidity in Thailand is positively correlated with the degree of development of the region. Spatial cluster analysis provides new evidence for policymakers to design tailored interventions to target multimorbidity and allocate health resources to areas of unmet need.

Indexed as

HotspotsMultimorbidityNon-communicable diseasesSpatial analysisThai Cohort Study

Identifiers

PMID40336103
PMCPMC12057226

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