Evidence map›Paper›PMID 35719246›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Association Between Some Different Obesity Anthropometric Indices and Type 2 Diabetes Mellitus in Middle-Aged and Elderly Chinese Men and Women in Beijing, China: A Cross-Sectional Study.

Xuebing Zhang, Wenhua Yan, Bing Wang, Lianjie Wang, Yiming Mu, Shidong Wang

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 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

6 authors at 2 institutions in 1 country.

Xuebing Zhang *Department of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People's Republic of China.
Wenhua Yan *Department of Endocrinology, First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Bing WangDepartment of Endocrinology, Emergency General Hospital, Beijing, 100028, People's Republic of China.
Lianjie WangDepartment of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People's Republic of China.
Yiming MuDepartment of Endocrinology, First Medical Centre of Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0002-3344-3540
Shidong WangDepartment of Endocrinology, Dongzhimen Hospital Beijing University of Chinese Medicine, Beijing, 100700, People's Republic of China.
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity can lead to the development of type 2 diabetes mellitus (T2DM). However, the predictive power of different obesity anthropometric indices (ObAIs) for T2DM varies with race and geographical area. Therefore, the study aimed to investigate the association between different ObAIs and T2DM and determine the best index for screening T2DM in middle-aged and elderly men and women in Beijing, China. Methods: A cross-sectional study was conducted in Shijingshan district (Beijing, China) from November 2011 to August 2012, involving a total of 14,558 subjects aged ≥40 years. Data on demographic information, lifestyle, history of T2DM, hypertension and dyslipidemia were collected. Body height, body weight, waist circumference (WC), hip circumference, and blood pressure were recorded. The oral glucose tolerance test or a standard meal test and blood lipid test were performed. The relationship between different ObAIs and T2DM was analyzed using multiple logistic regression. Results: After adjustment for age, smoking status, alcohol intake, occupation and education degree, diabetes family history, hypertension and dyslipidemia, body mass index (BMI), WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were positively associated with T2DM in both men and women. Compared with the lowest BMI, WC, WHR, and WHtR quartiles, ORs of the highest quartiles were 2.131 (95% CI: 1.465-3.099), 1.752 (95% CI: 1.270-2.417), 1.342 (95% CI: 1.072-1.678), 2.739 (95% CI: 2.293-3.271) in men and 1.837 (95% CI: 1.584-2.130), 3.122 (95% CI: 1.980-4.924), 3.781 (95% CI: 2.855-5.007), 2.379 (85% CI: 2.040-2.775), respectively, in women. The areas under ROC curve of BMI, WC, WHR, and WHtR for men were 0.584 (95% CI: 0.568-0.600), 0.509 (95% CI: 0.492-0.525), 0.501 (95% CI: 0.485-0.518), and 0.642 (95% CI: 0.627-0.658) and 0.619 (95% CI: 0.607-0.632), 0.709 (95% CI: 0.697-0.720), 0.741 (95% CI: 0.730-0.752), and 0.654 (95% CI: 0.642-0.666), respectively, for women. Conclusion: WHtR and WHR have been found to perform better as predictors of T2DM in middle-aged and elderly Chinese men and women, respectively.

Indexed as

anthropometric indicesChinesemiddle-aged and elderlyobesitytype 2 diabetes mellitus

Identifiers

PMID35719246
PMCPMC9199527
OpenAlexW4285744715

What OpenQuestion holds

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LicenceCC BY-NC
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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.