Evidence map›Paper›PMID 39480141›Full record

ArticleAsia-Pacific journal of public health2025

Waist-to-Height Ratio as a Key Predictor for Diabetes and Hypertension in Lao PDR National Health Survey.

Kethmany Ratsavong, D R Essink, Manithong Vonglokham, Sengchanh Kounnavong, Somphou Sayasone, Wichai Aekplakorn, Suchin Worawichawong, E P Wright

Abstract read
In one paragraph

Article in Asia-Pacific journal of public health, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 authors.

Kethmany RatsavongLao Tropical and Public Health Institute, Vientiane Capital, Lao PDR.ORCID 0000-0002-7075-2246
D R EssinkAthena Institute, Vrije University Amsterdam, Amsterdam, The Netherlands.
Manithong VonglokhamLao Tropical and Public Health Institute, Vientiane Capital, Lao PDR.
Sengchanh KounnavongLao Tropical and Public Health Institute, Vientiane Capital, Lao PDR.
Somphou SayasoneLao Tropical and Public Health Institute, Vientiane Capital, Lao PDR.
Wichai AekplakornDepartment of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Suchin WorawichawongDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
E P WrightGuelph International Health Consulting, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the potential predictive value of four noninvasive anthropometric indices in screening for the risk of diabetes and hypertension in the Lao population. The data used for this study were collected as part of the National Health Survey which used the World Health Organization's stepwise approach, covered 17 provinces and Vientiane capital, and had a representative sample of 3240 participants above 18 years old. Among the anthropometry indices tested, waist-to-height ratio (WHtR) had the highest predictive power for the prevalence of diabetes (area under the curve [AUC] = 0.73) and hypertension (AUC = 0.70). It is suitable for use in urban or rural areas and for fieldwork. The WHtR can serve as a public health and clinical screening tool, as there are no differences between sexes, ages, and ethnicities when monitoring diabetes and hypertension risk in Lao PDR, using the optimal cutoff point of 0.5 for both diabetes and hypertension.

Indexed as

Diabetes MellitusHypertensionWaist-Height RatioAdolescentAdultAgedFemaleHealth SurveysHumansLaosMaleMiddle AgedPredictive Value of TestsPrevalenceYoung Adultalternative noninvasive measuresBMILao PDRNCD screeningWCWHtR

Identifiers

PMID39480141
PMCPMC11894911

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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.