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DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38,123 UK Biobank participants

DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38,123 UK Biobank participants
DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38,123 UK Biobank participants
Despite advancements in fracture prediction tools and osteoporosis management, hip fractures remain a significant consequence of bone fragility, carrying a 22% 1-yr mortality rate. Hip geometric measures (GMs) have been associated with fracture risk; however, their strong correlation hinders the identification of independent influences, leaving their relative predictive value unclear. Statistical shape modeling (SSM) provides a more holistic assessment of hip shape compared to using predetermined GMs. This study aimed to evaluate whether SSM-derived hip shape from DXA scans can predict hip fracture, independently of individual GMs. Previously, we applied SSM to left hip DXA images in UK Biobank—a large prospective cohort with linked hospital records—generating 10 orthogonal hip shape modes (HSMs) that explained 86% of shape variance. Additionally, FN width (FNW), femoral head diameter (FHD), and hip axis length (HAL) were derived from these DXAs. In the current analysis, Cox proportional hazard models, adjusted for age, sex, height, weight, BMD, and GMs (FNW, HAL, and FHD), were used to examine the longitudinal associations between each HSM and first incident hospital diagnosed hip fracture. A Bonferroni adjusted p-value threshold (p < .004) was used to account for the 13 exposures. Among the 38 123 participants (mean age 63.7 yr; 52% female; mean follow-up 5 yr), 133 (0.35%) experienced subsequent hip fracture. HSM2, characterized by a narrower FNW, a higher neck shaft angle, and reduced acetabular coverage, showed a strong association with hip fracture risk (HR: 1.32, 95% CI: 1.11-1.58, p: 1.47 × 10−3), which persisted after full adjustment (1.30, 1.09-1.55, 3.27 × 10−3). There was no evidence for an association with other HSMs. These findings suggest that DXA-derived hip shape is associated with hip fracture risk independently of BMD and GMs. Incorporating global hip shape into fracture risk assessment tools could enhance prediction accuracy and inform targeted interventions.
0884-0431
Scott, Sophie
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Hashmi, Asad
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Ebsim, Raja
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Jung, Mijin
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Saunders, Fiona R.
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Gregory, Jennifer S.
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Aspden, Richard M.
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Lindner, Claudia
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Cootes, Timothy
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Harvey, Nicholas
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Tobias, Jonathan H.
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Faber, Benjamin G.
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Beynon, Rhona A.
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Scott, Sophie
ecbf6648-63f0-406b-b067-d65f6908caaa
Hashmi, Asad
4461af85-3a8a-4228-ac7a-e972a33b3a17
Ebsim, Raja
fa3d2f2c-9d77-4b95-b0ff-c34b57142381
Jung, Mijin
de4a22aa-777b-47e8-8384-5b18b48b64a2
Saunders, Fiona R.
a51cc79d-0928-4ab6-a479-3972c974670b
Gregory, Jennifer S.
6995d8fa-b32b-4f7c-aa15-8146acb4fd67
Aspden, Richard M.
71d1c790-5d9f-40b4-9130-bf7781b0e0dd
Lindner, Claudia
9a4bb424-5446-40eb-9e44-adc5280e5846
Cootes, Timothy
f82f878a-ab1d-426c-9510-afa3f6de7aef
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Tobias, Jonathan H.
514342d7-3491-4a7b-bbeb-b00dcf244daa
Faber, Benjamin G.
85a38e7f-74a4-4ba7-a985-a1cff3392ed0
Beynon, Rhona A.
3f5146c8-a3ea-4e9c-a983-0595b269b485

Scott, Sophie, Hashmi, Asad, Ebsim, Raja, Jung, Mijin, Saunders, Fiona R., Gregory, Jennifer S., Aspden, Richard M., Lindner, Claudia, Cootes, Timothy, Harvey, Nicholas, Tobias, Jonathan H., Faber, Benjamin G. and Beynon, Rhona A. (2025) DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38,123 UK Biobank participants. Journal of Bone and Mineral Research, [zjaf171]. (doi:10.1093/jbmr/zjaf171).

Record type: Article

Abstract

Despite advancements in fracture prediction tools and osteoporosis management, hip fractures remain a significant consequence of bone fragility, carrying a 22% 1-yr mortality rate. Hip geometric measures (GMs) have been associated with fracture risk; however, their strong correlation hinders the identification of independent influences, leaving their relative predictive value unclear. Statistical shape modeling (SSM) provides a more holistic assessment of hip shape compared to using predetermined GMs. This study aimed to evaluate whether SSM-derived hip shape from DXA scans can predict hip fracture, independently of individual GMs. Previously, we applied SSM to left hip DXA images in UK Biobank—a large prospective cohort with linked hospital records—generating 10 orthogonal hip shape modes (HSMs) that explained 86% of shape variance. Additionally, FN width (FNW), femoral head diameter (FHD), and hip axis length (HAL) were derived from these DXAs. In the current analysis, Cox proportional hazard models, adjusted for age, sex, height, weight, BMD, and GMs (FNW, HAL, and FHD), were used to examine the longitudinal associations between each HSM and first incident hospital diagnosed hip fracture. A Bonferroni adjusted p-value threshold (p < .004) was used to account for the 13 exposures. Among the 38 123 participants (mean age 63.7 yr; 52% female; mean follow-up 5 yr), 133 (0.35%) experienced subsequent hip fracture. HSM2, characterized by a narrower FNW, a higher neck shaft angle, and reduced acetabular coverage, showed a strong association with hip fracture risk (HR: 1.32, 95% CI: 1.11-1.58, p: 1.47 × 10−3), which persisted after full adjustment (1.30, 1.09-1.55, 3.27 × 10−3). There was no evidence for an association with other HSMs. These findings suggest that DXA-derived hip shape is associated with hip fracture risk independently of BMD and GMs. Incorporating global hip shape into fracture risk assessment tools could enhance prediction accuracy and inform targeted interventions.

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Accepted/In Press date: 16 November 2025
e-pub ahead of print date: 20 November 2025
Published date: 7 December 2025

Identifiers

Local EPrints ID: 507602
URI: http://eprints.soton.ac.uk/id/eprint/507602
ISSN: 0884-0431
PURE UUID: ecd1ec25-c322-46dc-a0a3-8ecb0ee918a2
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 15 Dec 2025 17:39
Last modified: 16 Dec 2025 02:39

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Contributors

Author: Sophie Scott
Author: Asad Hashmi
Author: Raja Ebsim
Author: Mijin Jung
Author: Fiona R. Saunders
Author: Jennifer S. Gregory
Author: Richard M. Aspden
Author: Claudia Lindner
Author: Timothy Cootes
Author: Nicholas Harvey ORCID iD
Author: Jonathan H. Tobias
Author: Benjamin G. Faber
Author: Rhona A. Beynon

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