Evidence map›Paper›PMID 42318781›Full record

ArticleJournal of global health2026

Global burden of fall-related injuries attributable to low bone mineral density in women aged 50-69 years: inequalities, projections to 2050, and Mendelian randomisation.

Bo Zhang, Qiaojie Chen, Yang Chen, Haijun Zhang

Abstract read
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Bo Zhang
Qiaojie Chen
Yang Chen
Haijun Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low bone mineral density (LBMD) increases fragility fracture risk and may contribute importantly to disability after falls. Within the Global Burden of Disease (GBD) framework, the attributable fall-related burden is better interpreted as fracture susceptibility and post-fall disability than as a direct effect on the occurrence of falls. However, the magnitude, inequality, and future trajectory of this burden in women aged 50-69 years remain unclear. Methods: Using GBD 2021 estimates from 1990-2021, we quantified LBMD-attributable fall-related disability-adjusted life years (DALYs), years lived with disability (YLDs), and age-standardised rates in women aged 50-69 years. Men were included for contextual comparison. We assessed temporal trends, socioeconomic inequality, frontier gaps, burden decomposition, and conditional projections to 2050. We performed two-sample Mendelian randomisation to examine associations of genetically predicted femoral-neck bone mineral density with falls and femoral fractures. Results: From 1990-2021, age-standardised DALY and YLD rates declined modestly, whereas absolute DALYs nearly doubled and YLDs increased markedly. In 2021, women had approximately 35-45% higher age-standardised disability-adjusted life-year rate (ASDR) and about 75% more YLDs than men aged 50-69 years. Relative inequality, as measured by the concentration index, was directionally positive but statistically uncertain, whereas absolute inequality remained substantial. Conditional projections suggested further declines in age-standardised rates by 2050 but continued growth in absolute disability burden. Genetically predicted lower femoral-neck bone mineral density showed no clear association with falls (inverse-variance weighted odds ratio (IVW OR) = 1.29; 95% CI = 0.86, 1.95) but was associated with higher risk of fracture of femur (OR = 1.71; 95% CI = 1.37, 2.14). Conclusions: LBMD-attributable fall-related injury burden in women aged 50-69 years remains a substantial and unequally distributed source of disability. The GBD and Mendelian randomisation findings suggest that LBMD contributes more strongly to fracture susceptibility and disability after falls than to fall occurrence itself, supporting earlier osteoporosis risk assessment and integrated bone-, muscle-, and fall-prevention strategies.

Indexed as

Accidental FallsBone DensityOsteoporosisAgedDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMendelian Randomization AnalysisMiddle AgedSocioeconomic Disparities in Health

Identifiers

PMID42318781
PMCPMC13280865

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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.