Evidence map›Paper›PMID 23951031›Full record

ArticlePloS one2013

Comparison of various anthropometric and body fat indices in identifying cardiometabolic disturbances in Chinese men and women.

Zhe-qing Zhang, Juan Deng, Li-ping He, Wen-hua Ling, Yi-xiang Su, Yu-ming Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

54 citing papers in PubMed, 96 citations in OpenAlex.

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  15. The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh.International journal of environmental research and public health · 2021
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  19. A Differential Study into Body Fat in Healthy and Hypertensive Populations Using Multiple Indexes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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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

6 authors at 1 institution in 1 country.

Zhe-qing ZhangGuangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China.
Juan Deng
Li-ping He
Wen-hua Ling
Yi-xiang Su
Yu-ming Chen
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many adiposity indices may be used to predict obesity-related health risks, uncertainty remains over which of them performs best.

objectiveThis study compared the predictive capability of direct and indirect adiposity measures in identifying people at higher risk of metabolic abnormalities.

methodsThis population-based cross-sectional study recruited 2780 women and 1160 men. Body weight and height, waist circumference (WC), and hip circumference (HC) were measured and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were calculated. Body fat (and percentage of fat) over the whole body and the trunk were determined by bioelectrical impedance analysis (BIA). Blood pressure, fasting lipid profiles, and glucose and urine acid levels were assessed.

resultsIn women, the ROC and the multivariate logistic regression analyses both showed that WHtR consistently had the best performance in identifying hypertension, dyslipidemia, hyperuricemia, diabetes/IFG, and metabolic syndrome (MetS). In men, the ROC analysis showed that WHtR was the best predictor of hypertension, WHtR and WC were equally good predictors of dyslipidemia and MetS, and WHtR was the second-best predictor of hyperuricemia and diabetes/IFG. The multivariate logistic regression also found WHtR to be superior in discriminating between MetS, diabetes/IFG, and dyslipidemia while BMI performed better in predicting hypertension and hyperuricemia in men. The BIA-derived indices were the second-worst predictors for all of the endpoints, and HC was the worst.

conclusionWHtR was the best predictor of various metabolic abnormalities. BMI may be used as an alternative measure of obesity for identifying hypertension in both sexes.

Indexed as

AdiposityBody Weights and MeasuresAdultAgedAged, 80 and overCardiovascular DiseasesChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedOdds RatioPublic Health Surveillance

Identifiers

PMID23951031
PMCPMC3741370
OpenAlexW2025205199

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.