Evidence map›Paper›PMID 38026280›Full record

ArticleFrontiers in public health2023

Comparison of bioelectrical body and visceral fat indices and anthropometric measures in relation to type 2 diabetes by sex among Chinese adults, a cross-sectional study.

Jiangshan He, Binbin Zhang, Yaqi Fan, Yuxue Wang, Mianzhi Zhang, Chunjun Li, Li Zhang, Pei Guo, Minying Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 8 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

9 authors at 3 institutions in 1 country.

Jiangshan HeSchool of Medicine, Nankai University, Tianjin, China.
Binbin ZhangSchool of Medicine, Nankai University, Tianjin, China.
Yaqi FanSchool of Medicine, Nankai University, Tianjin, China.
Yuxue WangSchool of Medicine, Nankai University, Tianjin, China.
Mianzhi ZhangDongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chunjun LiTianjin Union Medical Center, Tianjin, China.
Li ZhangTianjin First Central Hospital, Tianjin, China.
Pei GuoSchool of Medicine, Nankai University, Tianjin, China.
Minying ZhangSchool of Medicine, Nankai University, Tianjin, China.
Nankai University · CNTianjin University of Traditional Chinese Medicine · CNTianjin First Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We aim to compare the efficacies of the bioelectrical indices (percentage of body fat, PBF; visceral fat area, VFA) with the conventional anthropometric measures (body mass index, BMI; waist-hip ratio, WHR) for predicting type 2 diabetes (T2D) risk by sex and to determine the sex-specific optimal adiposity indices to predict the T2D risk. Design: Cross-sectional design. Setting: Tianjin First Central Hospital and Tianjin Union Medical Center, Tianjin, China. Participants: A total of 9,332 adults (41.35% men) undergoing physical examination. Primary and secondary outcome measures: T2D was defined using the WHO's criteria: fasting blood glucose (FBG) ≥7.0 mmol/L and/or previous diagnosis of T2D. Height, weight, waist, hip, PBF, VFA, and fasting plasma glucose were measured. Results: All studied adiposity indices were associated with T2D among both males and females, and the observed associations differed by sex. The standardized aORs of BMI, WHR, PBF and VFA for T2D were 1.60 (95% CI 1.42-1.81), 1.43 (95% CI 1.25-1.64), 1.42 (95% CI 1.23-1.62) and 1.53 (95% CI 1.35-1.75) for females, and 1.47 (95% CI 1.31-1.66), 1.40 (95% CI 1.25-1.58), 1.54 (95% CI 1.36-1.74) and 1.47 (95% CI 1.31-1.65) for males, respectively. The AUCs of VFA, WHR and BMI were 0.743, 0.742 and 0.717 in women, respectively, whereas none of the indices had AUC larger than 0.70 in men. The AUCs were not significantly different between VFA and WHR, while both demonstrate larger AUCs than BMI and PBF in females (all Conclusion: Although BMI, WHR, and PBF and VFA as measured by bioelectrical impedance analysis (BIA) were all positively associated with T2D, their efficacy for predicting the risk of T2D differed by sex. VFA, WHR and BMI could be used as biomarkers to predict T2D risk in women, however none of the study indicators demonstrated favorable efficacy of predicting T2D risk in men.

Indexed as

Diabetes Mellitus, Type 2AdultCross-Sectional StudiesEast Asian PeopleFemaleHumansIntra-Abdominal FatMaleObesityRisk Factorsbody mass indexoptimal cutoff valuepercentage of body fattype 2 diabetesvisceral fat areawaist-hip ratio

Identifiers

PMID38026280
PMCPMC10661931
OpenAlexW4388459583

What OpenQuestion holds

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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.