Distribution and diagnostic modeling of osteoporosis and comorbidities across demographic factors: A cross-sectional study of 2224 female patients

Age and age at menarche are significant risk factors for OP, with later menarche increasing the risk. In RA patients, higher education levels were associated with a lower risk of OP. In contrast, unmarried or non-traditional marital statuses increased OP risk among diabetic patients. Additionally, age at menopause was found to be a significant factor for OP risk in NAFLD patients. The prediction model developed in this study, with an AUC of 0.720, provides a reliable method for personalized OP risk assessment through a dynamic nomogram. These findings highlight the crucial role of demographic factors in predicting OP risk and underscore the importance of personalized treatment strategies for effective OP prevention and management.

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Publication Details

Journal
Experimental Gerontology
Published
2024-11-23
DOI
https://doi.org/10.1016/j.exger.2024.112638
Citations
4
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
1.91
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article

Distribution and diagnostic modeling of osteoporosis and comorbidities across demographic factors: A cross-sectional study of 2224 female patients

Li Dingpeng, Fei Yao, Xie Xingwen, Bai Bihui et al.
4 citations
Experimental Gerontology
Bone health and osteoporosis research
1.91
article

Distribution and diagnostic modeling of osteoporosis and comorbidities across demographic factors: A cross-sectional study of 2224 female patients

Li Dingpeng, Fei Yao, Xie Xingwen, Bai Bihui, Xie Ruixuan, Lin Demin
article en
4 citations

Abstract

Age and age at menarche are significant risk factors for OP, with later menarche increasing the risk. In RA patients, higher education levels were associated with a lower risk of OP. In contrast, unmarried or non-traditional marital statuses increased OP risk among diabetic patients. Additionally, age at menopause was found to be a significant factor for OP risk in NAFLD patients. The prediction model developed in this study, with an AUC of 0.720, provides a reliable method for personalized OP risk assessment through a dynamic nomogram. These findings highlight the crucial role of demographic factors in predicting OP risk and underscore the importance of personalized treatment strategies for effective OP prevention and management.

Experimental GerontologyVol. 198
Minzu University of China (CN), Wenzhou Medical University (CN), Gansu University of Traditional Chinese Medicine (CN), Shanghai University of Traditional Chinese Medicine (CN), Lanzhou University Second Hospital (CN), Shanghai Traditional Chinese Medicine Hospital (CN), Lanzhou University (CN)
Openalex Percentile: Top 15%
Bone health and osteoporosis research
1.91
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