Evidence map›Paper›PMID 27782221›Full record

Trial reportScientific reports2016

Visceral Adiposity and Anthropometric Indicators as Screening Tools of Metabolic Syndrome among Low Income Rural Adults in Xinjiang.

Shu-Xia Guo, Xiang-Hui Zhang, Jing-Yu Zhang, Jia He, Yi-Zhong Yan, Jiao-Long Ma, Ru-Lin Ma, Heng Guo, La-Ti Mu, Shu-Gang Li and 8 more

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

18 authors.

Shu-Xia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Xiang-Hui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Jing-Yu ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Yi-Zhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Jiao-Long MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Ru-Lin MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
La-Ti MuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Shu-Gang LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Qiang NiuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Dong-Sheng RuiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Mei ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Jia-Ming LiuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Kui WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Shang-Zhi XuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Xiang GaoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.
Yu-Song DingDepartment of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang 832000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most previous studies on metabolic syndrome (MetS) examined urban and high income settings. We thus investigated the prevalence of MetS among a multi-ethnic population living in a low income rural area and explored the use of visceral adiposity and anthropometric indicators to identify men and women with MetS. We recruited 10,029 individuals of nomadic Kazakhs, rural Uyghur and Han residents in Xinjiang, China. MetS was defined by the Joint Interim Statement criteria. The receiver operating characteristic curve (ROC) was used to compare the area under the ROC curve (AUC) of each index. The age-adjusted prevalence of MetS was 21.8%. The visceral adiposity index (VAI), lipid accumulation product (LAP), body adiposity index (BAI) and the waist-to-height ratio (WHtR) were significantly associated with MetS, independent of ethnic, age, and other covariates. The AUC of VAI, LAP and WHtR were all greater than 0.7, and the LAP was the index that most accurately identified MetS status in men (AUC = 0.853) and women (AUC = 0.817), with the optimal cut-offs of 34.7 and 27.3, respectively. In conclusion, the prevalence of MetS in low income rural adults of Xinjiang was high and the LAP was an effective indicator for the screening of MetS.

Indexed as

AdiposityIntra-Abdominal FatMass ScreeningRural PopulationAdultAsian PeopleChinaFemaleHumansMaleMetabolic SyndromeMiddle AgedSocioeconomic Factors

Identifiers

PMID27782221
PMCPMC5080571

What OpenQuestion holds

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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.