Evidence mapPaperPMID 40724696Full record

ArticleHealthcare (Basel, Switzerland)2025

Associations Between Metabolic Risk Factors and Lung Function Among Adults in Northern Thailand: A Cross-Sectional Study.

Anurak Wongta, Nan Ei Moh Moh Kyi, Muhammad Samar, Nyan Lin Thu, Tipsuda Pintakham, Surat Hongsibsong

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Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Anurak WongtaSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-0308-8477
Nan Ei Moh Moh KyiSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0009-0004-5108-6534
Muhammad SamarSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0009-0007-4848-2773
Nyan Lin ThuSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Tipsuda PintakhamSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Surat HongsibsongSchool of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-5510-5905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesLung function decline is influenced by metabolic risk factors (e.g., obesity, hyperglycemia, dyslipidemia) and environmental exposures (e.g., PM2.5), which may jointly contribute to airway inflammation and lung function impairment. This study aimed to investigate these associations in northern Thai adults and identify factors linked to lung function impairment.

methodsA cross-sectional study was conducted in San Pa Thong, Chiang Mai, Thailand, involving 137 adults. Data on metabolic indicators and spirometry were collected. Statistical analyses included Spearman's correlation, multivariable linear regression, and logistic regression.

resultsHigher triglyceride levels and shorter 6-min walk test (6MWT) distances were associated with reduced forced expiratory volume in one second (FEV

conclusionsCombining metabolic and respiratory assessments may improve early detection of lung function impairment in high-risk populations, particularly given the dual burden of metabolic disorders and air pollution in northern Thailand. These findings support the integration of metabolic and respiratory screening in community health programs to enhance preventive strategies.

Indexed as

6-min walk testlung functionmetabolic risk factorsrespiratory impairmentThailand population health

Identifiers

PMID40724696
PMCPMC12294415

What Socratic holds

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LicenceCC BY
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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 Socratic graph.