The role of income and educational level as risk factors for atypical femur fractures: A Nationwide Danish Case-Cohort Study with Blinded Radiographic Review

Socioeconomic factors and atypical femur fracture (AFF) risk during bisphosphonate treatment are poorly understood. Among Danish bisphosphonate users, medium, and long educational levels were associated with lower AFF rates, with medium education remaining associated with lower AFF risk after adjustment, even within a universal healthcare system. PURPOSE: Atypical femur fracture (AFF) is a rare but serious fracture type associated with bisphosphonate (BP) treatment. While clinical risk factors are well studied, socioeconomic factors among BP users remain unexplored. We therefore examined whether income and educational level were associated with AFF risk in Denmark. METHODS: We included all radiologically confirmed AFF cases from 2010 to 2014, identified through blinded reviews of potential AFFs among individuals aged ≥ 50 years, and register-data for a random sample of the general population ≥ 50 (n = 100,253). Health, income, and education data were obtained from Danish national registers. We estimated incidence rates (IR), incidence rate ratios (IRR), and hazard ratios (HR) using Cox regression. RESULTS: Among 164 AFF cases, 116 had BP exposure, and exposure was higher among AFF cases than in the background population (70.7% vs. 7.9%, p < 0.05). The AFF IR among BP users was 32.5 per 10,000 person-years (CI 27.1-39.0). Crude AFF rates differed by income and education, but income was not associated with AFF risk in adjusted Cox regression. BP users with medium or long education had a lower IRR than those with low/missing education (medium: IRR (CI): 0.56 (0.36-0.86); long: IRR (CI): 0.53 (0.28-0.95)). In age- and sex-adjusted Cox analyses, medium education remained associated with a lower AFF risk 0.63 (0.41-0.96). CONCLUSION: Socioeconomic differences in AFF rates were observed among BP users, but adjusted analyses did not support an independent association between income and AFF risk. Medium education was associated with lower AFF risk after adjustments.

Authors

Institutions

Publication Details

Journal
Osteoporosis International
Published
2026-07-24
DOI
https://doi.org/10.1007/s00198-026-08156-6
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of income and educational level as risk factors for atypical femur fractures: A Nationwide Danish Case-Cohort Study with Blinded Radiographic Review

Hans Peter Bögl, Douglas C. Bauer, Daphne Wezenberg, Bo Abrahamsen et al.
Osteoporosis International
Bone health and osteoporosis research
article

The role of income and educational level as risk factors for atypical femur fractures: A Nationwide Danish Case-Cohort Study with Blinded Radiographic Review

Hans Peter Bögl, Douglas C. Bauer, Daphne Wezenberg, Bo Abrahamsen, Jens Brøndum Frøkjær, Annette L. Adams, Anne Grethe Jurik, Benjamin Bakke Hansen, Jörg Schilcher, Austin Thompson, Bo Fan, Richard Dell, Kasper Westphal Leth, Mikael Ploug Boesen, Dennis M. Black
article en

Abstract

Socioeconomic factors and atypical femur fracture (AFF) risk during bisphosphonate treatment are poorly understood. Among Danish bisphosphonate users, medium, and long educational levels were associated with lower AFF rates, with medium education remaining associated with lower AFF risk after adjustment, even within a universal healthcare system. PURPOSE: Atypical femur fracture (AFF) is a rare but serious fracture type associated with bisphosphonate (BP) treatment. While clinical risk factors are well studied, socioeconomic factors among BP users remain unexplored. We therefore examined whether income and educational level were associated with AFF risk in Denmark. METHODS: We included all radiologically confirmed AFF cases from 2010 to 2014, identified through blinded reviews of potential AFFs among individuals aged ≥ 50 years, and register-data for a random sample of the general population ≥ 50 (n = 100,253). Health, income, and education data were obtained from Danish national registers. We estimated incidence rates (IR), incidence rate ratios (IRR), and hazard ratios (HR) using Cox regression. RESULTS: Among 164 AFF cases, 116 had BP exposure, and exposure was higher among AFF cases than in the background population (70.7% vs. 7.9%, p < 0.05). The AFF IR among BP users was 32.5 per 10,000 person-years (CI 27.1-39.0). Crude AFF rates differed by income and education, but income was not associated with AFF risk in adjusted Cox regression. BP users with medium or long education had a lower IRR than those with low/missing education (medium: IRR (CI): 0.56 (0.36-0.86); long: IRR (CI): 0.53 (0.28-0.95)). In age- and sex-adjusted Cox analyses, medium education remained associated with a lower AFF risk 0.63 (0.41-0.96). CONCLUSION: Socioeconomic differences in AFF rates were observed among BP users, but adjusted analyses did not support an independent association between income and AFF risk. Medium education was associated with lower AFF risk after adjustments.

Osteoporosis International
Linköping University (SE), Kaiser Permanente (US), University of Southern Denmark (DK), University of California, San Francisco (US), Aarhus University (DK), Aalborg University Hospital (DK), Frederiksberg Hospital (DK), Odense University Hospital (DK), Copenhagen University Hospital (DK), University of Gävle (SE), Gävle Hospital (SE), Linköping University Hospital (SE), Centre for Research and Development (ZW)
Syddansk Universitet, National Institutes of Health
Openalex Percentile: Top 7%
Bone health and osteoporosis research
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.