Evidence map›Paper›PMID 28673302›Full record

ArticleInternational journal for equity in health2017

Area-level socioeconomic deprivation and mortality differentials in Thailand: results from principal component analysis and cluster analysis.

Suchunya Aungkulanon, Viroj Tangcharoensathien, Kenji Shibuya, Kanitta Bundhamcharoen, Virasakdi Chongsuvivatwong

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Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

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21citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
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  4. Bayesian mapping of mortality clusters.Biostatistics (Oxford, England) · 2025
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  14. Social mobility, adolescents' psycho-social dispositions, and parenting.Research in social stratification and mobility · 2021
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Suchunya AungkulanonEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Viroj TangcharoensathienInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Kenji ShibuyaDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Kanitta BundhamcharoenInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand. cvirasak@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite achievement of universal health coverage in Thailand, socioeconomic inequality in health has been a major policy concern. This study examined mortality patterns across different socioeconomic strata in Thailand.

methodsWe conducted a cross-sectional analysis of the 2010 Population and Housing Census on area-level socioeconomic deprivation against the 2010 mortality from the vital registration database at the super-district level. We used principal components analysis to construct a socioeconomic deprivation index and K-mean cluster analysis to group socioeconomic status and cause-specific mortality.

resultsExcess mortality rates from all diseases, except colorectal cancer, were observed among super-districts with low socioeconomic status. Spatial clustering was evident in the distribution of socioeconomic status and mortality rates. Cluster analysis revealed that super-districts which were predominantly urban tended to have low all-cause standardize mortality ratio but a high colorectal cancer-specific mortality rate. Deaths due to liver cancer, diabetes, and renal diseases were common in the low socioeconomic super-districts which hosted one third of the total Thai population.

conclusionSocially deprived areas have an excess of overall and cause specific deaths. Populations living in more affluent areas, despite low general mortality, still have many preventable deaths such as colorectal cancer. These findings warrant future epidemiological studies investigating various causes of excessive deaths in non-deprived areas and implementation of policies to reduce the mortality gap between rich and poor areas.

Indexed as

Cause of DeathHealth Status DisparitiesPovertySocial ClassAdolescentAdultAgedAged, 80 and overCensusesCluster AnalysisCross-Sectional StudiesDiabetes MellitusFemaleHumansKidney DiseasesMaleHealth inequalityMortalitySocioeconomic statusThailand

Identifiers

PMID28673302
PMCPMC5496369

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.