Evidence map›Paper›PMID 40826454›Full record

ArticleBMC public health2025

Prevalence and characteristics of sarcopenic obesity and normal weight obesity in Chinese women: a cross-sectional study based on body fat percentage.

Rongshun Wu, Miaoyuan Li, Yanting Liao, Jing Zhang, Chenxia Xu, Xuewen Yan

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

  1. Article
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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.

Rongshun Wu *Department of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, 528400, China.ORCID http://orcid.org/0009-0008-1645-3991
Miaoyuan Li *Department of Urology, Zhongshan People's Hospital, Zhongshan, 528400, China.ORCID http://orcid.org/0009-0008-4417-1262
Yanting LiaoDepartment of Gynecology, Boai Hospital of Zhongshan, Zhongshan, 528400, China.ORCID http://orcid.org/0009-0004-0711-813X
Jing ZhangWomen's Health Department, Boai Hospital of Zhongshan, No.6 Chenggui Road, East District, ZhongShan, 528400, Guangdong, China.ORCID http://orcid.org/0009-0007-1422-0118
Chenxia XuPrenatal Diagnosis Center, Boai Hospital of Zhongshan, No.6 Chenggui Road, East District, ZhongShan, 528400, Guangdong, China. xuchenxia709@foxmail.com.ORCID http://orcid.org/0000-0003-4593-3202
Xuewen YanWomen's Health Department, Boai Hospital of Zhongshan, No.6 Chenggui Road, East District, ZhongShan, 528400, Guangdong, China. pannyduck_123@163.com.ORCID http://orcid.org/0009-0009-8291-9494

Funding

Major Science and Technology Project of Zhongshan City 2021B3005the Zhongshan Science and Technology Bureau No. 2023B1042
6 · The paper itself

Abstract

backgroundTo investigate the prevalence and characteristics of normal weight obesity (NWO) and its coexistence with sarcopenia among Chinese women, and to evaluate the diagnostic utility of common anthropometric and body composition indicators-including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body fat percentage (BF%) assessed via bioelectrical impedance analysis (BIA).

methodsA total of 1,530 female participants undergoing routine health check-ups at Zhongshan Boai Hospital between January 2022 and December 2023 were enrolled. Anthropometric data including height, weight, WC, and hip circumference were recorded. BIA was used to measure BF% and skeletal muscle index (SMI), along with assessments of handgrip strength and 6-meter gait speed to evaluate muscle function. Participants were classified as having obesity according to the Chinese Guidelines for the Diagnosis and Treatment of Obesity (2024 edition) and the WHO Asia-Pacific criteria. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) 2019 guidelines. The UpSet plot was used to visualize diagnostic overlaps among obesity-related indicators, highlighting high-risk phenotypes potentially missed by relying on BMI alone.

resultsAmong the 1,530 participants, only 145 (9.48%) met the BMI criterion for obesity (BMI ≥ 28 kg/m²), while 1,072 (70.07%) had elevated body fat percentage (BF% >30%), indicating a higher prevalence of hidden obesity. A total of 483 (31.57%) were classified as NWO, including 390 (25.50%) with pre-sarcopenia and 57 (3.73%) with sarcopenic NWO. The UpSet plot revealed substantial diagnostic overlap among BF%, WHR, WHtR, and WC, while BMI had the lowest detection concordance. These findings indicate that combined use of multiple indicators greatly improves the identification of hidden obesity, while BMI alone may lead to significant underdiagnosis.

conclusionNWO and sarcopenic NWO are prevalent among Chinese women. Reliance on BMI alone underestimates the actual burden of obesity. Clinical assessments should incorporate both body composition and fat distribution indicators to better identify high-risk individuals and improve the precision of metabolic disease prevention and intervention strategies.

Indexed as

ObesitySarcopeniaAdipose TissueAdultAgedBody CompositionBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceBioelectrical impedance analysisBMINormal weight obesitySarcopenic obesityWaist circumferenceWaist-to-height ratioWaist-to-hip ratio

Identifiers

PMID40826454
PMCPMC12359963

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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.