Evidence map›Paper›PMID 34979974›Full record

ArticleBMC geriatrics2022

Comparison of different obesity indices associated with type 2 diabetes mellitus among different sex and age groups in Nantong, China: a cross-section study.

Qiwei Ge, Min Li, Zhengcheng Xu, Zhigang Qi, Huiyan Zheng, Yuxin Cao, Hao Huang, Xiaoyang Duan, Xun Zhuang

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 28 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 1 institution in 1 country.

Qiwei Ge *Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Min Li *Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Zhengcheng XuDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Zhigang QiNantong Chongchuan District Center for Disease Control and Prevention, Nantong, Jiangsu, 226000, China.
Huiyan ZhengNantong Chongchuan District Center for Disease Control and Prevention, Nantong, Jiangsu, 226000, China.
Yuxin CaoDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Hao HuangDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Xiaoyang DuanDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China.
Xun ZhuangDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, No 9 Seyuan Road, Nantong, Jiangsu, 226019, China. ntzhuang@163.com.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is associated with type 2 diabetes mellitus (T2DM). However, the obesity index that is most closely related to type 2 diabetes remains controversial. Therefore, the aim of this study was to compare the associations of five anthropometric indices (body mass index [BMI], body adiposity index, waist circumference [WC], waist-to-hip ratio, and waist-to-height ratio [WHtR]) with T2DM among Chinese adults divided into four groups according to sex and age.

methodsA total of 4007 adult participants (1669 men and 2338 women) were included in the study. Odds ratios (ORs) and 95% confidence intervals were used with binary logistic regression models to estimate the risk of T2DM for each obesity index. Furthermore, we compared the area under the receiver operating characteristic curve (AUC) of each obesity index for the criterion of T2DM under the influence of risk factors.

resultsWC had the highest OR (3.211 and 1.452) and AUC (0.783 and 0.614) in both age groups of men. However, WHtR (OR = 2.366, AUC = 0.771) and BMI (OR = 1.596, AUC = 0.647) were the optimal criteria for predicting T2DM among females in the 18-59 and ≥ 60 years age groups, respectively.

conclusionsThis study suggests that there is a positive association between obesity-related anthropometric indices and T2DM in different sex and age groups. WC appears to be the optimal anthropometric index for predicting T2DM in men. The optimal obesity indices related to T2DM were WHtR and BMI for women aged 18-59 and ≥ 60 years, respectively.

Indexed as

Diabetes Mellitus, Type 2Body Mass IndexChinaFemaleHumansMaleObesityRisk FactorsROC CurveWaist CircumferenceWaist-Height RatioWaist-Hip RatioAnthropometric indicesChineseObesityType 2 diabetes mellitus

Identifiers

PMID34979974
PMCPMC8725504
OpenAlexW4206782150

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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.