Evidence map›Paper›PMID 41890188›Full record

ArticleFrontiers in endocrinology2026

Assessment of the effects of whole-body muscle and fat mass on bone mineral content based on 628 DXA datasets.

Jing Liu, Dongpan Chen, Tanli Min, Ling Bai, Xin Zhang, Sheng Wang, Zun Wang, Mai Chen, Biyun Zhang, Daoming Xu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jing LiuAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Dongpan ChenAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Tanli MinAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Ling BaiAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Xin ZhangAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Sheng WangAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Zun WangSchool of Acupuncture-Moxibustion and Tuina, Nanjing University of Chinese Medicine, Nanjing, China.
Mai ChenZhimaying Community Health Center, Qinhuai, Nanjing, China.
Biyun ZhangAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Daoming XuAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of osteoporosis is steadily increasing. Although the relationships between muscle mass, fat mass, and bone mineral content (BMC) have been extensively studied, they remain contentious. This study aimed to develop a unified statistical model to evaluate the independent effects of total muscle and fat mass on BMC, clarify their respective roles in osteoporosis pathogenesis, and inform targeted prevention strategies. Methods: We retrospectively analyzed data from 628 subjects who underwent body composition assessment at the Affiliated Hospital of Nanjing University of Chinese Medicine between January 2022 and July 2024. Collected parameters included age, height, weight, body mass index (BMI), total BMC, total muscle mass, total fat mass, and whole-body bone mineral density (BMD) T-scores. Groups were compared by sex, age and whole-body BMD T-score categories. Spearman correlation and multiple linear regression analyses were used to assess the associations of total BMC with total muscle and total fat mass. Results: Males had greater height, weight, BMI, total BMC, total muscle mass, and whole-body T-scores than females ( Conclusions: Muscle mass is the strongest and most consistent correlate of BMC. The role of fat is context-specific, varying by sex, age, and bone health. Based on current associative evidence, maintaining muscle may be considered a priority in bone health management, while fat's impact requires individualized assessment. Clinical Trial Registration: http://www.chictr.org.cn/ identifier ChiCTR2400085209.

Indexed as

Adipose TissueBody CompositionBone DensityMuscle, SkeletalOsteoporosisAbsorptiometry, PhotonAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedRetrospective Studiesbody compositionbone mineral contentdata analysisfat massmuscle mass

Identifiers

PMID41890188
PMCPMC13013020

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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.