Evidence map›Paper›PMID 28953680›Full record

ArticleMedicine2017

Waist-to-height ratio is better than body mass index and waist circumference as a screening criterion for metabolic syndrome in Han Chinese adults.

Hui Yang, Zhong Xin, Jian-Ping Feng, Jin-Kui Yang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.6field-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

35 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Association between the triglycerideZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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 at 2 institutions in 1 country.

Hui YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University Department of Geriatric, Fu Xing hospital, Capital Medical University Beijing Key Laboratory of Diabetes Research and Care, Beijing, China.
Zhong Xin
Jian-Ping Feng
Jin-Kui Yang
Capital Medical University · CNBeijing Tongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is a major public health concern. Efficient screening requires criteria that are economical, easily accessible, and applicable for all populations. We aimed to compare the discriminating ability of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for the diagnosis of MetS in a Han Chinese population.Demographic information, obesity indices, and results of biochemical tests were collected from a cross-sectional sample of 8084 individuals (3619 men and 4465 women, 18-79 years old) from Changping District, Beijing, China. Areas under receiver operating characteristic curves (AUCs) and adjusted odd ratios of 3 obesity indices were analyzed and their optimal cutoffs were determined.For women, the AUCs demonstrated that WHtR was significantly more powerful than BMI and WC (both P < .05) for predicting MetS [WHtR, 0.857 (0.846-0.868); WC, 0.849 (0.837-0.860); BMI, 0.808 (0.795-0.821)]. For men, WHtR was significantly better than BMI [P < .05; WHtR, 0.859 (0.846-0.871); WC, 0.855 (0.843-0.868); BMI, 0.815 (0.802-0.829)]. The optimal cutoffs for WHtR for discriminating MetS were 0.51 in both genders. Multiple logistic regression confirmed the positive association between WHtR and the risk of MetS. In the nonobese subgroup, WHtR was also superior to BMI and WC for predicting MetS in men (P < .05) and better than BMI in women (P < .05).Among the obesity indices analyzed here, WHtR was the best for predicting MetS in Han Chinese adults, especially in nonobese adults.

Indexed as

Body Mass IndexMetabolic SyndromeObesityWaist CircumferenceWaist-Height RatioAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMass ScreeningMiddle AgedROC Curve

Identifiers

PMID28953680
PMCPMC5626323
OpenAlexW2759996637

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.