Evidence mapPaperPMID 40866477Full record

ArticleScientific reports2025

Associations between dynapenic abdominal obesity and diabetes in middle aged and older Chinese.

Jiayi Hao, Chunbian Tang, Qingqing Yang, Youyou Gu, Su Wang, Baoqi Zeng

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In one paragraph

Article in Scientific reports, 2025. 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
field-weighted citation impact
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

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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.

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4 · The record

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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.

Jiayi HaoMedical School of Tianjin University, Tianjin, 300072, China.
Chunbian TangMedical School of Tianjin University, Tianjin, 300072, China.
Qingqing YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Youyou GuDepartment of Endocrinology, Tianjin Fifth Central Hospital (Peking University Binhai Hospital), Tianjin, 300450, China.
Su WangMedical School of Tianjin University, Tianjin, 300072, China. wsrealm@163.com.
Baoqi ZengCentral Laboratory, Tianjin Fifth Central Hospital (Peking University Binhai Hospital), Tianjin, 300450, China. zengbaoqi@126.com.

Funding

the Health Commission of Binhai New Area, Tianjin 2024BWKZ01
6 · The paper itself

Abstract

Previous studies have shown that diabetes is linked to both low muscle strength and abdominal obesity. However, the combined relationship and synergistic effect on the risk of diabetes in middle-aged and elderly people are still unclear. Using nationally representative data collected between 2011 and 2020 by the China Health and Retirement Longitudinal Study (CHARLS). Dynapenic abdominal obesity was a measure that combined hand grip strength and waist circumference. 7934 participants aged ≥ 45 years were divided into four groups (neither dynapenia nor abdominal obesity, only dynapenia, only abdominal obesity, and dynapenic abdominal obesity). Cox proportional hazards models were used to calculate the association of dynapenic abdominal obesity on diabetes. The reference group comprised participants with neither dynapenia nor abdominal obesity. Dynapenic abdominal obesity was associated with an increased risk of diabetes (HR = 1.52; 95%CI = 1.12-2.05). Only abdominal obesity group also had a higher risk of diabetes (HR = 1.54, 95%CI = 1.32-1.80), and only dynapenia was not statistically associated with the risk of diabetes (HR = 1.05, 95%CI = 0.80-1.39) and sensitivity analysis showed that the results were robust. Dynapenic abdominal obesity and only abdominal obesity might be associated with 52% and 54% higher risk of diabetes, while only dynapenia was not statistically associated with the risk of diabetes.

Indexed as

Diabetes MellitusObesity, AbdominalAgedChinaEast Asian PeopleFemaleHand StrengthHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsWaist CircumferenceAbdominal obesityCHARLSCohortDiabetesDynapenia

Identifiers

PMID40866477
PMCPMC12391294

What Socratic 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 Socratic graph.