Evidence map›Paper›PMID 41660419›Full record

ArticleFrontiers in nutrition2026

Basal metabolic rate as a protective factor against osteoporosis: a multi-cohort longitudinal study from three international aging databases.

Yuzhou Cai, Fangyi Dai, Hongyu Li, Yujian Zeng, Peiyu Guo, Tong Zhang

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuzhou Cai *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Fangyi Dai *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Hongyu LiHaiyuan College, Kunming Medical University, Kunming, Yunnan, China.
Yujian ZengDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Peiyu GuoDepartment of Orthopedics, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Tong ZhangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis is a major public health burden in aging populations; whether basal metabolic rate (BMR) is independently associated with incident osteoporosis independent of sarcopenia remains unclear. Objectives: To examine the association between BMR and incident osteoporosis and whether this relationship is modified by sarcopenia status and demographic factors. Methods: We analyzed 17,836 adults aged ≥45 years from three longitudinal cohorts-ELSA (n = 3,293), HRS (n = 4,498), and SHARE (n = 10,045). BMR was estimated using the Mifflin-St Jeor equation and modeled as quartiles and per 1-SD. Cox proportional hazards models with progressive adjustment were used; restricted cubic splines assessed dose-response. Subgroup/interaction analyses evaluated effect modification. Sensitivity analyses included exclusion of early events, trimming extreme BMR values, complete-case analyses, and cohort- and sex-specific analyses. Results: Over a median 11.5 years, 1,490 (8.35%) participants developed osteoporosis. Compared with the lowest BMR quartile, the highest quartile had a 37% was associated with lower osteoporosis risk (HR 0.629, 95% CI 0.494-0.800; Conclusion: Higher BMR is independently associated with lower incident osteoporosis risk in a linear fashion-beyond sarcopenia and conventional risk factors-with effect modification by education and smoking. As an observational study, causality cannot be established. As an accessible marker of metabolic capacity, BMR may complement existing tools for risk stratification in aging populations.

Indexed as

basal metabolic ratedose-responselongitudinal cohortosteoporosisrisk stratificationsarcopenia

Identifiers

PMID41660419
PMCPMC12872545

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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.