Articlenpj aging2026
Association of brain age gap with BMD and incident fractures in the UK Biobank.
Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
8 authors.
Funding
Abstract
The aging population experiences concurrent brain aging and deterioration of bone health. Imaging-derived brain age gap (BAG) demonstrates enhanced predictive capacity for age-related pathologies compared to chronological age. This study included 28,705 participants who underwent brain MRI at a mean age of 63.2 years, with brain age predicted from 1705 imaging-derived phenotypes using LASSO regression (mean predicted brain age: 63.2 years). We then assessed the associations of BAG with BMD at 4 sites and fracture risks. Each 1-year increase in BAG was associated with reduced femoral neck BMD, femoral trochanter BMD, lumbar spine BMD, total body BMD (β(SE) = -0.0028 (0.0003), P = 7.31E - 21; β(SE) = -0.0031 (0.0003), P = 4.04E - 26; β(SE) = -0.0036 (0.0004), P = 1.30E - 16; β(SE) = -0.0033 (0.0002), P = 3.51E - 36, respectively), and increased risks of all-site fractures (HR 1.06, 95% CI: 1.02-1.10). Sex and menopausal status significantly modified the association between BAG and BMD. Findings suggest that higher BAG was associated with lower BMD and higher all-site fracture risk, and these associations may be stronger in men and postmenopausal women.
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Registered trials
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.