Identifying modifiable factors and their causal effects on osteoporosis risk

Osteoporosis is the most common disease affecting bone health, and previous studies have identified many risk factors for it. However, the diversity and co-occurrence of risk factors were underestimated in those hypothesis-driven studies. Here we collected data of 491,344 participants from the UK Biobank with more than 17 years of follow-up data for 642 modifiable risk factors. First, we performed an exposure wide association study to identify the factors associated with osteoporosis and generated a composite score for each domain. Then multivariate Cox regression was applied to evaluate the joint effects of risk factors. Finally, Mendelian randomization was used to verify the causal effects. The results showed that osteoporosis is associated with exposure factors from many domains. The results of Mendelian randomization study suggested that irritable bowel syndrome (OR 2.869(1.412-5.831), P = 0.0036), standing height (OR 1.163(1.012-1.337), P = 0.0331) and trunk fat-free mass (OR 1.247(1.017-1.530), P = 0.0341) were potential causal risk factors for osteoporosis, and body mass index (BMI) (OR 0.801(0.675-0.949), P = 0.0103) was associated with reduced risk. Joint analysis suggested that favorable physical measures, health and medical history and lifestyle status could significantly reduce the risk of osteoporosis, especially in men. This study provided a valuable reference for osteoporosis prevention and intervention.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-06-03
DOI
https://doi.org/10.1038/s41598-025-04455-w
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying modifiable factors and their causal effects on osteoporosis risk

Xingdong Chen, Kelin Xu, Shuai Jiang
1 citations
Scientific Reports
Liver Disease Diagnosis and Treatment
1.35
article

Identifying modifiable factors and their causal effects on osteoporosis risk

Xingdong Chen, Kelin Xu, Shuai Jiang
article en
1 citations

Abstract

Osteoporosis is the most common disease affecting bone health, and previous studies have identified many risk factors for it. However, the diversity and co-occurrence of risk factors were underestimated in those hypothesis-driven studies. Here we collected data of 491,344 participants from the UK Biobank with more than 17 years of follow-up data for 642 modifiable risk factors. First, we performed an exposure wide association study to identify the factors associated with osteoporosis and generated a composite score for each domain. Then multivariate Cox regression was applied to evaluate the joint effects of risk factors. Finally, Mendelian randomization was used to verify the causal effects. The results showed that osteoporosis is associated with exposure factors from many domains. The results of Mendelian randomization study suggested that irritable bowel syndrome (OR 2.869(1.412-5.831), P = 0.0036), standing height (OR 1.163(1.012-1.337), P = 0.0331) and trunk fat-free mass (OR 1.247(1.017-1.530), P = 0.0341) were potential causal risk factors for osteoporosis, and body mass index (BMI) (OR 0.801(0.675-0.949), P = 0.0103) was associated with reduced risk. Joint analysis suggested that favorable physical measures, health and medical history and lifestyle status could significantly reduce the risk of osteoporosis, especially in men. This study provided a valuable reference for osteoporosis prevention and intervention.

Scientific ReportsVol. 15(1)
Fudan University (CN)
Openalex Percentile: Top 19%
Liver Disease Diagnosis and Treatment
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identifying modifiable factors and their causal effects on osteoporosis risk — Xingdong Chen, Kelin Xu, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS