Evidence map›Paper›PMID 26901035›Full record

ArticlePloS one2016

The Prevalence of Metabolic Syndrome Using Three Different Diagnostic Criteria among Low Earning Nomadic Kazakhs in the Far Northwest of China: New Cut-Off Points of Waist Circumference to Diagnose MetS and Its Implications.

Heng Guo, Jiaming Liu, Jingyu Zhang, Rulin Ma, Yusong Ding, Mei Zhang, Jia He, Shangzhi Xu, Shugang Li, Yizhong Yan and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
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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

14 authors at 1 institution in 1 country.

Heng GuoDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Jiaming LiuDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Jingyu ZhangDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Rulin MaDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Yusong DingDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Mei ZhangDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Jia HeDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Shangzhi XuDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Shugang LiDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Yizhong YanDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Lati MuDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Dongsheng RuiDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Qiang NiuDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Shuxia GuoDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, China.
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the epidemic of metabolic syndrome (MetS) has aroused wide public concern, most studies on MetS tend to examine urban and high income settings, and few studies cover nomadic areas and low earning populations. This research aims to investigate the prevalence of MetS and explore the cut-off point of waist circumference in a nomadic minority typical of low income populations in the remote northwest region of China.

methodsA cross-sectional study was performed in a representative sample of 3900 Kazakh adults aged 18-84 years from 2009-2010. Three widely used criteria (ATP III\IDF\JIS) were employed to estimate the prevalence of MetS in Kazakhs to compare them with other populations. Receiver operator characteristic (ROC) curve analysis was used to explore the optimal cut-off values of waist circumference.

resultsThe age-adjusted prevalence of MetS was 13.8%, 20.9%, and 24.8% based on the ATP III, IDF, and JIS criteria, respectively. The prevalence of MetS was higher in women and increased with age. Except for reduced HDL-cholesterol, the risk of other components of MetS increased with waist circumference enlargement. The cut-off point of waist circumference in screening at least two other components of MetS was 88 cm in men (Sensitivity = 61.1%, Specificity = 62.1%, ROC Curve Distance = 0.54) and 83 cm in women (Sensitivity = 60.0%, Specificity = 59.6%, ROC Curve Distance = 0.57).

conclusionThe prevalence of MetS in Kazakhs is higher than the national level of China and falls in between the Euro-American and Asia levels, as their cut-off points of waist circumference differ from that recommended for Chinese. We suggest a cost-effective strategy to screen for MetS and prevent cardiovascular disease using new cut-off points of waist circumference in low earning nomadic Kazakhs.

Indexed as

AdultBiomarkersBlood GlucoseChinaFemaleHumansLipidsMaleMetabolic SyndromeMiddle AgedOdds RatioPrevalenceReference ValuesRisk FactorsROC CurveSocioeconomic FactorsBiomarkersBlood GlucoseLipids

Identifiers

PMID26901035
PMCPMC4763161
OpenAlexW2285949757

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.