Evidence map›Paper›PMID 32252701›Full record

ArticleBMC public health2020

Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults.

Yongchun Chen, Dongliang He, Tingting Yang, Hao Zhou, Siyun Xiang, Lijun Shen, Jing Wen, Shengcai Chen, Songxu Peng, Yong Gan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Yongchun ChenDepartment of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People's Republic of China.
Dongliang HeDepartment of Nutrition, Hengyang Central Hospital, Hengyang, Hunan, 421001, People's Republic of China.
Tingting YangDepartment of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People's Republic of China.
Hao ZhouDepartment of Medical Record, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, 451464, People's Republic of China.
Siyun XiangDepartment of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People's Republic of China.
Lijun ShenDepartment of Research and Discipline Development, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, 450003, People's Republic of China.
Jing WenDepartment of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People's Republic of China.
Shengcai ChenDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, Hubei, People's Republic of China. 1912956494@qq.com.
Songxu PengDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, No. 110, Xiangya Road, Changsha, 410008, People's Republic of China. gwxypsx@163.com.
Yong GanDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China. scswj2008@163.com.
Henan Provincial People's Hospital · CNHuazhong University of Science and Technology · CNCentral South University · CNHengyang Academy of Agricultural Sciences · CNZhengzhou Central Hospital · CN

Funding

Postdoctoral Research Foundation of China (CN) 2019M652544
6 · The paper itself

Abstract

backgroundBody composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 diabetes mellitus among Chinese adults undergoing medical examination.

methodsBetween January 2018 and July 2018, a retrospective cross-sectional study was performed on 3367 (2307 male and 1060 female) participants aged ≥18 years undergoing medical examination in Zhengzhou. Logistic regression analysis was performed to explore the relationship between body composition indicators and risk of type 2 diabetes mellitus. A receiver operating characteristic curve was used to calculate cutoff points and the predictive power of each indicator.

resultsAmong the 3367 participants, 12.53% were diagnosed with type 2 diabetes mellitus. Multivariate logistic analysis indicated that male participants (odds ratio [OR] = 1.68, 95% confidence interval [CI]: 1.29-2.19), older participants (OR = 1.05, 95% CI: 1.04-1.06), participants with a waist-to-hip ratio above the reference value (OR = 1.56, 95% CI: 1.18-2.07), participants with body fat percentage above the reference value (OR = 1.62, 95% CI: 1.01-2.68), and participant with a large visceral fat area (OR = 1.01, 95% CI: 1.01-1.02) had a high risk of type 2 diabetes mellitus. Waist-to-hip ratio, body fat percentage, and visceral fat area were the best indicators of type 2 diabetes mellitus (P < 0.001) with cutoff values of 0.90, 25.02%, and 92.00 cm

conclusionThis study suggests a predictive relationship between type 2 diabetes mellitus and body composition indicators of waist-to-hip ratio, body fat percentage, and visceral fat area, which are valuable for screening diabetes and providing effective health education and behavioral intervention for high-risk populations.

Indexed as

Adipose TissueBody CompositionWaist-Hip RatioAdolescentAdultAgedBody Mass IndexChinaCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansIncidenceIntra-Abdominal FatLogistic ModelsMaleBody compositionIndicatorsPredictive valueType 2 diabetes mellitusVisceral fat area

Identifiers

PMID32252701
PMCPMC7137510
OpenAlexW3014284633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.