Evidence map›Paper›PMID 31113427›Full record

ArticleBMC public health2019

Evaluation of the appropriate predictive contributor and diagnostic threshold for the cardio-metabolic syndrome in Chinese Uyghur adults.

Zhoubin Zhang, Shujun Fan, Zhenxiang Xue, Jun Yuan, Ziyan Zhou, Tongmin Wang, Junling Liu, Ayxamgul Bawudun, Nazibam Nurmamat, Yuzhong Wang and 1 more

Abstract readEvaluation Study
In one paragraph

Article in BMC public health, 2019. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults.International journal of environmental research and public health · 2019
    Article
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

11 authors.

Zhoubin ZhangGuangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Guangzhou, Baiyun Area, Guangzhou, 510440, China.
Shujun FanGuangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Guangzhou, Baiyun Area, Guangzhou, 510440, China.
Zhenxiang XueShufu Center for Disease Control and Prevention, Kashgar, 844100, China.
Jun YuanGuangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Guangzhou, Baiyun Area, Guangzhou, 510440, China.
Ziyan ZhouGuangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Guangzhou, Baiyun Area, Guangzhou, 510440, China.
Tongmin WangKashgar Prefecture Center for Disease Control and Prevention, Kashgar, 844100, China.
Junling LiuKashgar Prefecture Center for Disease Control and Prevention, Kashgar, 844100, China.
Ayxamgul BawudunShufu Center for Disease Control and Prevention, Kashgar, 844100, China.
Nazibam NurmamatShufu Center for Disease Control and Prevention, Kashgar, 844100, China.
Yuzhong WangShufu Center for Disease Control and Prevention, Kashgar, 844100, China.
Zhicong YangGuangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Guangzhou, Baiyun Area, Guangzhou, 510440, China. yangzc@gzcdc.org.cn.

Funding

National Natural Science Foundation of China 81803196Science and Technology Project of Guangdong Province 2014A020209006
6 · The paper itself

Abstract

backgroundSeveral epidemiological studies have suggested that optimal obesity and visceral adiposity indicators and their cut-off values to predict cardio-metabolic risks varied among different ethnic groups. However, few studies have investigated the associations of anthropometric indices with cardio-metabolic risks in Chinese Uyghur adults, and the results were inconsistent.

methodsBetween May and September 2016, a total of 4664 subjects aged ≥18 years old were recruited from Northwest China. Anthropometric indices and cardio-metabolic risk factors were measured by trained personnel. Partial correlation analyses and logistic regression analyses were used to evaluate the associations of anthropometric indices with cardio-metabolic risk factors. Receiver operating characteristic analysis was used to compare the abilities of different anthropometric indices to predict cardio-metabolic risk factors, and to determine the optimal cut-off values.

resultsThe prevalence of metabolic syndrome was 39.41% in Uyghur adults from Xinjiang Uyghur Autonomous Region. Waist circumference (WC) performed better than other obesity indices in predicting the cardio-metabolic risk factors, and the optimal cut-off value of WC to diagnose metabolic syndrome risk factors was 86.50 cm for women and 90.50 cm for men.

conclusionsOur study suggests that WC had the strongest predictive power for identifying cardio-metabolic risks in Xinjiang Uyghur adults. Further well-designed longitudinal studies are needed to confirm our findings.

Indexed as

Waist CircumferenceAdultAnthropometryCardiovascular DiseasesChinaFemaleHumansMaleMetabolic SyndromeMiddle AgedPredictive Value of TestsPrevalenceReference ValuesRisk FactorsAnthropometric indicesCardio-metabolic syndromeCut-off pointsUyghur

Identifiers

PMID31113427
PMCPMC6528294

What Socratic holds

Textmetadata
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 Socratic graph.