Evidence map›Paper›PMID 40604194›Full record

ArticleScientific reports2025

Sex-specific associations of fat and lean indices with vertebral fractures.

Yen-Huai Lin, Michael Mu Huo Teng

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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. Muscle mass, not fat mass, predicts vertebral fracture risk: Vietnam osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  2. Muscle mass, not fat mass, predicts vertebral fracture risk: Vietnam osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yen-Huai LinDepartment of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan. yhlin11@gmail.com.
Michael Mu Huo TengDepartment of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan.

Funding

Cheng Hsin General Hospital CHGH114-113-N23
6 · The paper itself

Abstract

The relationship between body composition and fracture sites is complex. Previous studies have reported that a site-dependent relationship between body mass index (BMI) and fractures in postmenopausal women and older men. This study aimed to investigate sex-specific associations of fat and lean indices with vertebral fractures. This cross-sectional study included 1,479 participants, with body composition assessed using dual-energy X-ray absorptiometry. Fat indices included BMI, body fat percentage, and waist circumference, whereas the lean index was represented by appendicular lean mass (ALM)/height². Prevalent vertebral fractures were identified through radiographic confirmation. When both fat and lean indices simultaneously were considered, BMI (odds ratio [OR], 1.15; 95% confidence interval [CI] 1.08-1.22), body fat percentage (OR, 1.06; 95% CI 1.02-1.10), and waist circumference (OR, 1.06; 95% CI, 1.03-1.08) were significantly associated with vertebral fractures in postmenopausal women, whereas ALM/height² did not show such an association. In contrast, for men aged ≥ 50 years, ALM/height² was significantly associated with vertebral fractures, whereas fat indices showed no such an association. Furthermore, a significant interaction between ALM/height² and sex was observed. Fat indices were predominantly associated with vertebral fractures in women, whereas the lean index was more strongly associated with vertebral fractures in men. These findings highlight a sex-specific association between body composition and vertebral fractures.

Indexed as

Adipose TissueBody CompositionSpinal FracturesAbsorptiometry, PhotonAgedAged, 80 and overBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedPostmenopauseSex FactorsWaist CircumferenceAppendicular lean massBody fat percentageBody mass indexSexVertebral fracturesWaist circumference

Identifiers

PMID40604194
PMCPMC12222761

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LicenceCC BY-NC-ND
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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.