Evidence map›Paper›PMID 40401792›Full record

ArticleGlobal health action2025

Prevalence of non-communicable disease risk factors and their association with economic status: findings from the 2021 health behaviour of population survey in Thailand.

Polathep Vichitkunakorn, Warintorn Bunyanukul, Kanarit Apiwan, Detphop Tanasanchonnakul, Monsicha Sittisombut

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Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Polathep VichitkunakornDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0003-2309-5308
Warintorn BunyanukulSchool of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Kanarit ApiwanSchool of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Detphop TanasanchonnakulSchool of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Monsicha SittisombutSchool of Medicine and Health Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs) are major contributors to mortality and disease burden; however, evidence regarding NCD risk factors, particularly socioeconomic factors, remains limited.

objectivesWe investigated the prevalence of five key behavioural risk factors for NCDs (smoking, alcohol consumption, physical inactivity, unhealthy diet, and overweight/obesity) within the Thai population and the influence of economic status on these risk factors.

methodsWe gathered secondary data from the 2021 health Behaviour of Population Survey. Data were derived from a stratified, nationally representative household survey using two-stage sampling. Economic status was categorised into very low, low, middle, high, and very high levels.

resultsAmong the 207,191 participants (weighted to represent 26,600,947 participants), the most prevalent NCD risk factor was an unhealthy diet (56.93%), followed by overweight/obesity (50.03%), physical inactivity (42.70%), alcohol consumption (29.73%), and smoking (16.61%). Higher economic levels were associated with increased odds of alcohol consumption (e.g. adjusted odds ratio [AOR] = 1.13, 95% CI: 1.03-1.25 for high) and an unhealthy diet (AOR = 1.26, 95% CI: 1.15-1.38 for very high), while smoking odds decreased (AOR = 0.67, 95% CI: 0.59-0.77 for very high). Physical inactivity exhibited a U-shaped association, and overweight/obesity slightly increased at the highest economic levels (AOR = 1.10, 95% CI: 1.01-1.21).

conclusionUnhealthy dietary patterns and overweight/obesity were the most prevalent NCD risk factors. Smoking was the least prevalent. Tailored, evidence-based interventions targeting specific economic groups are needed to effectively reduce NCD risk factors and promote health equity.

Indexed as

Economic StatusHealth BehaviorNoncommunicable DiseasesAdolescentAdultAgedAlcohol DrinkingDietFemaleHealth SurveysHumansMaleMiddle AgedObesityOverweightPrevalencebehaviour risk factorsLifestyleobesitysedentary behavioursocioeconomic factors

Identifiers

PMID40401792
PMCPMC12100955

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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.