Evidence map›Paper›PMID 30773165›Full record

ArticlePublic health nutrition2019

Assessment of the validity of multiple obesity indices compared with obesity-related co-morbidities.

Jaeeun Myung, Kyung Yoon Jung, Tae Hyun Kim, Euna Han

Abstract readComparative StudyValidation Study
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

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

  1. Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

4 authors.

Jaeeun Myung1College of Pharmacy,Yonsei University,162-1 Songdo-Dong,Yeonsu-Gu,Incheon 21983,Republic of Korea.
Kyung Yoon Jung1College of Pharmacy,Yonsei University,162-1 Songdo-Dong,Yeonsu-Gu,Incheon 21983,Republic of Korea.
Tae Hyun Kim2Graduate School of Public Health,Yonsei University,Seoul,Republic of Korea.
Euna Han1College of Pharmacy,Yonsei University,162-1 Songdo-Dong,Yeonsu-Gu,Incheon 21983,Republic of Korea.ORCID 0000-0003-2656-7059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to compare selected obesity indicators with comprehensive health status.

designThe study employed a pooled cross-sectional design.

settingBMI, waist circumference, waist-to-height ratio (WHtR) and body fat percentage were considered as indirect obesity indicators. The Edmonton Obesity Staging System (EOSS) was used as a composite indicator to comprehensively reflect obesity-related co-morbidities. Cohen's κ coefficient was used to evaluate inter-measurement agreement for obesity. Conformity of indirect obesity indicators to the EOSS was assessed based on percentage agreement (proportion classified as obese and severely unhealthy as a result of obesity among the total sample), sensitivity (proportion classified as obese among individuals severely unhealthy as a result of obesity) and specificity (proportion classified as non-obese among fairly healthy individuals). Logistic regression analysis was used to identify the sociodemographic factors most strongly associated with conformity.ParticipantsThe study included 17338 adults from the Korea National Health and Nutrition Examination survey conducted between July 2008 and May 2011.

resultsLevel of conformity to the EOSS was highest for WHtR (60·77 %) and lowest for BMI (35·96 %). WHtR and BMI had the highest sensitivity (53·7 %) and specificity (98·4 %), respectively. Predictability of conformity was lower among men for all indirect obesity indicators.

conclusionsWHtR has the greatest potential to identify individuals at risk of health problems due to obesity. Individual demographic factors must be considered in selecting the most appropriate obesity measurement.

Indexed as

Health Status IndicatorsAnthropometryComorbidityCross-Sectional StudiesFemaleHumansMaleNutrition SurveysObesityRepublic of KoreaBMIBody fat percentageEdmonton Obesity Staging SystemWaist circumferenceWaist-to-height ratio

Identifiers

PMID30773165
PMCPMC10261060

What OpenQuestion holds

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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.