Evidence map›Paper›PMID 39028455›Full record

ArticleGeroScience2025

Body composition and aging: cross-sectional results from the INSPIRE study in people 20 to 93 years old.

Marguerite Briand, Jeremy Raffin, Emmanuel Gonzalez-Bautista, Patrick Ritz, Gabor Abellan Van Kan, Fabien Pillard, Marie Faruch-Bilfeld, Sophie Guyonnet, Cédric Dray, Bruno Vellas and 2 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Copeptin kinetics in healthy aging.The Journal of clinical endocrinology and metabolism · 2026
    Trial
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  11. Journal of functional morphology and kinesiology · 2026
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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

12 authors.

Marguerite BriandIHU HealthAge, Toulouse, France. briand.m@chu-toulouse.fr.ORCID 0000-0003-1888-8741
Jeremy RaffinIHU HealthAge, Toulouse, France.
Emmanuel Gonzalez-BautistaIHU HealthAge, Toulouse, France.
Patrick RitzCERPOP UMR1295, University of Toulouse III, Inserm, UPS, Toulouse, France.
Gabor Abellan Van KanIHU HealthAge, Toulouse, France.
Fabien PillardDepartment of Sport Medicine, Hospital and University of Toulouse, Toulouse, France.
Marie Faruch-BilfeldImaging Department, Hospital and University of Toulouse, Toulouse, France.
Sophie GuyonnetIHU HealthAge, Toulouse, France.
Cédric DrayInstitut RESTORE, UMR 1301, University of Toulouse III, Inserm, UPS, CNRS, Toulouse, France.
Bruno VellasIHU HealthAge, Toulouse, France.
Philipe de Souto BarretoIHU HealthAge, Toulouse, France.
Yves RollandIHU HealthAge, Toulouse, France.

Funding

European Regional Development Fund MP0022856Région Occitanie Pyrénées-Méditerranée 1901175
6 · The paper itself

Abstract

Aging is characterized by several major changes, including altered body composition, which is associated with numerous negative clinical consequences such as sarcopenia, osteoporosis, and frailty. The study is to evaluate body composition parameters depending on age and sex in a population ranging from the young adult to the very old, and to identify break points in the association between body composition and age. In this cross-sectional study, we included the enrolment population of the French INSPIRE-T prospective cohort, accounting for 915 subjects (62% female). Age ranged from 20 to 93 years, median age (years) was 63 (IQR 27). Body composition (lean mass, fat mass, and bone mineral content) was assessed with dual-X-ray absorptiometry (DXA). Different break points in the relationship between age and body composition variables in males and females were identified using a segmented regression analysis adjusted on physical activity, nutritional status, educational level, and comorbidities. Lean mass decreased from the age of 55 years for males (CI 95% 44-66) and 31 years for females (CI 95% 23-39). For fat mass, we observed a trend towards an increase with age for males. For females, we observed an increase with age up to age 75 (CI 95% 62-86), followed by a decreasing trend. In this study, we described the relationship between body composition and age as a function of sex, establishing a foundation for further studies on predictive biomarkers of age-related body composition alteration.

Indexed as

AgingBody CompositionAbsorptiometry, PhotonAdultAgedAged, 80 and overBone DensityCross-Sectional StudiesFemaleFranceHumansMaleMiddle AgedProspective StudiesSex FactorsYoung AdultAgingBody compositionGeroscienceOsteoporosisSarcopenia

Identifiers

PMID39028455
PMCPMC11872965

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.