Evidence map›Paper›PMID 29180338›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2017

[Association of waist-to-hip ratio with insulin resistance in non-diabetic normal-weight individuals: a cross-sectional study].

Xing-Yan Yang, Meng-Jiao Shao, Qin Zhou, Yue Xia, He-Qun Zou

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2017. 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
0.5field-weighted citation impact, top 30% 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, 7 citations in OpenAlex.

  1. Article
  2. Altered Visceral Adipose Tissue Predictors and Women's Health: A Unicenter Study.International journal of environmental research and public health · 2022
    Article
  3. 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

5 authors at 1 institution in 1 country.

Xing-Yan YangDepartment of Nephrology, Institute of Nephrology and Urology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China. E-mail: yxingyan@163.com.
Meng-Jiao Shao
Qin Zhou
Yue Xia
He-Qun Zou
Third Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the relationship between waist-to-hip ratio (WHR) and insulin resistance(IR) in non-diabetic normal-weight individuals and investigate how this association differs between male and femalesubjects.

methodsFrom June to October, 2012, we performed a cross-sectional survey among 2142 community-based non-diabetic Chinese participants, who were divided into 4 groups according to the gender-specific quartiles of WHR. Homeostatic model assessment of insulin resistance (HOMA-IR), calculated as the product of fasting plasma glucose (mmol/L) and fasting insulin (mU/L) divided by 22.5, was used as the indicator of insulin resistance. Logistic regression models were used to explore the association of WHR with IR in these subjects.

resultsIn the unadjusted model, WHR was significantly associated with IR in women (OR=6.60, 95%CI: 2.86-15.26, P<0.001); the association was still significant (OR=3.28, 95%CI: 1.34-8.04, P=0.009) after adjustment for the potential confounders including the history of hypertension, coronary heartdisease, current smoker, physical inactivity, and body mass index.

conclusionWHR is independently associated with IR in non-diabetic Chinese women with normal body weight.

Indexed as

Insulin ResistanceWaist-Hip RatioBlood GlucoseBody Mass IndexChinaCross-Sectional StudiesDiabetes MellitusFemaleHumansInsulinMaleBlood GlucoseInsulin

Identifiers

PMID29180338
PMCPMC6779637
OpenAlexW2997210350

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.