Evidence map›Paper›PMID 27092520›Full record

ArticleInternational journal of environmental research and public health2016

Comparison of Anthropometric and Atherogenic Indices as Screening Tools of Metabolic Syndrome in the Kazakh Adult Population in Xinjiang.

Xiang-Hui Zhang, Mei Zhang, Jia He, Yi-Zhong Yan, Jiao-Long Ma, Kui Wang, Ru-Lin Ma, Heng Guo, La-Ti Mu, Yu-Song Ding and 6 more

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  18. Association between Six CETP Polymorphisms and Metabolic Syndrome in Uyghur Adults from Xinjiang, China.International journal of environmental research and public health · 2017
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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

16 authors.

Xiang-Hui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. 18999335467@163.com.
Mei ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. zmberry@foxmail.com.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. hejia123.shihezi@163.com.
Yi-Zhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. erniu19880215@sina.com.
Jiao-Long MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. jiaojiaolong881202@163.com.
Kui WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. kwang311@hotmail.com.
Ru-Lin MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. marulin@126.com.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. guoheng@shzu.edu.cn.
La-Ti MuDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. murat08123@163.com.
Yu-Song DingDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. 13399931625@163.com.
Jing-Yu ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. yfyxxzjy@126.com.
Jia-Ming LiuDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. liujiaming@shzu.edu.cn.
Shu-Gang LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. lishugang@ymail.com.
Qiang NiuDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. niuqiang1214@163.com.
Dong-Sheng RuiDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. ruidongsheng@gmail.com.
Shu-Xia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi 832000, China. gsxshzu@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the screening ability of various anthropometric and atherogenic indices for Metabolic syndrome (MetS) using three common criteria and to evaluate the validity of suitable parameters in combination for the screening of MetS among a Kazakh population in Xinjiang.

methodsA total of 3752 individuals were selected using the stratified cluster random sampling method from nomadic Kazakhs (≥18 years old) in Xinyuan county, Xinjiang, China, which is approximately 4407 km away from the capital Beijing. MetS was defined by the International Diabetes Federation (IDF), National Cholesterol Education Program Adult Treatment Panel III (ATP III) and Joint Interim Statement (JIS) criteria. The receiver operating characteristic curve (ROC) was used to compare the area under the ROC curve (AUC) of each index. The sensitivity, specificity, Youden's index and cut-offs of each index for the screening of MetS were calculated.

resultsAccording to the IDF, ATP III and JIS criteria, 18.61%, 10.51%, and 24.83% of males and 23.25%, 14.88%, and 25.33% of females had MetS. According to the IDF criteria, the waist-to-height ratio (WHtR) was the index that most accurately identified individuals with and without MetS both in males (AUC = 0.872) and females (AUC = 0.804), with the optimal cut-offs of 0.53 and 0.52, respectively. According to both the ATP III and JIS criteria, the lipid accumulation product (LAP) was the best index to discriminate between individuals with and without MetS in males (AUC = 0.856 and 0.816, respectively) and females (AUC = 0.832 and 0.788, respectively), with optimal cut-offs of 41.21 and 34.76 in males and 28.16 and 26.49 in females, respectively. On the basis of the IDF standard, Youden's indices of WHtR and LAP serial tests for the screening of MetS were 0.590 and 0.455 in males and females, respectively, and those of WHtR and LAP parallel tests were 0.608 and 0.479, accordingly.

conclusionAccording to the IDF, ATP III and JIS criteria, both the WHtR and LAP were better indices for the screening of MetS. The WHtR and LAP parallel test was the most accurate.

Indexed as

AdultArea Under CurveAtherosclerosisBody CompositionChinaFemaleHumansMaleMass ScreeningMetabolic SyndromeReproducibility of ResultsROC CurveWaist-Height Ratioanthropometric indicesatherogenic indicesKazakhmetabolic syndromescreening

Identifiers

PMID27092520
PMCPMC4847090

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