Journals / Journal of Medicine and Palliative Care / 2026 / Volume: 7 Issue: 5

Independent associations of parathyroid hormone, vitamin D, and metabolic parameters with regional bone mineral density and osteoporosis

Süleyman Baş(Department of Internal Medicine, University of Health Sciences, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey)0000-0002-5883-445X
Mustafa Can Şenoymak(Department of Endocrinology and Metabolism, Hitit University, Çorum Erol Olçok Training and Research Hospital, Çorum, Turkey)0000-0002-1977-5127
Murat Yeniçeri(Department of Rheumatology, Karaman Training and Research Hospital, Karaman, Turkey)0000-0003-3046-5784
Kadem Arslan(Department of Internal Medicine, University of Health Sciences, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey)0000-0002-3957-3821
Sercan Kiremitçi(Department of of Gastroenterology, Bezmialem University School of Medicine, Istanbul, Turkey)0000-0001-7901-1412
Alpaslan Tanoğlu(Department of Internal Medicine, Gastroenterology, Bahçeşehir University, İstanbul, Turkey)0000-0002-7477-6640
Pages
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Publication Date
2026-10-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The site-specific association of PTH with femoral neck BMD underscores the importance of considering regional differences in osteoporosis assessment, and suggests that PTH may warrant closer attention as a parameter in clinical evaluation.

📌 3 Key Takeaways

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Objective & Hypothesis:Aims: Osteoporosis is a systemic disease characterized by reduced bone mineral density (BMD) and increased fracture risk.
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Key Findings & Data:Methods: This retrospective, cross-sectional study included 281 individuals aged 50 years and older who had undergone DXA based BMD measurement.
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Conclusion & Impact:The site-specific association of PTH with femoral neck BMD underscores the importance of considering regional differences in osteoporosis assessment, and suggests that PTH may warrant closer attention as a parameter in clinical evaluation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bone mineral density · body-mass index · femoral neck

Abstract

Aims: Osteoporosis is a systemic disease characterized by reduced bone mineral density (BMD) and increased fracture risk. Although numerous factors influencing bone health have been identified, the independent effects of vitamin D, parathyroid hormone (PTH), and metabolic parameters on BMD at different anatomical sites remain incompletely understood. This study aimed to evaluate the associations between lumbar spine and femoral neck BMD and vitamin D, PTH, and metabolic parameters, and to identify factors independently associated with osteoporosis. Methods: This retrospective, cross-sectional study included 281 individuals aged 50 years and older who had undergone DXA based BMD measurement. Demographic, clinical, and biochemical data were retrieved from patient records. BMD was assessed at the lumbar spine (L1–L4) and femoral neck. Correlation and multivariable linear regression analyses were performed to identify factors associated with BMD. Independent predictors of osteoporosis (T-score ≤−2.5) were examined using multivariable logistic regression. Results: Osteoporosis was detected in 19.6% of participants. Age and female gender were independently associated with osteoporosis, while higher BMI was independently associated with lower odds of osteoporosis. In multivariable analyses, BMI and gender were independently associated with lumbar spine BMD, whereas age, BMI, gender, and PTH were the independent determinants of femoral neck BMD. PTH was negatively associated with femoral neck BMD only, and no independent association was found between vitamin D levels and either BMD or osteoporosis. Conclusion: The factors influencing BMD differ by anatomical site. The site-specific association of PTH with femoral neck BMD underscores the importance of considering regional differences in osteoporosis assessment, and suggests that PTH may warrant closer attention as a parameter in clinical evaluation.

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Cite This Article

Baş, S., Şenoymak, M. C., Yeniçeri, M., Arslan, K., Kiremitçi, S., Tanoğlu, A. (2026). Independent associations of parathyroid hormone, vitamin D, and metabolic parameters with regional bone mineral density and osteoporosis. Journal of Medicine and Palliative Care, Volume: 7 Issue: 5. https://ajindex.com/articles/1668095

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References (20)

  1. Compston JE, McClung MR, Leslie WD. Osteoporosis. Lancet. 2019; 393(10169):364-376. doi:10.1016/S0140-6736(18)32112-3
  2. Kanis JA, Cooper C, Rizzoli R, et al. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int. 2019;30(1):3-44. doi:10.1007/s00198-018-4704-5
  3. Rachner TD, Khosla S, Hofbauer LC. Osteoporosis: now and the future. Lancet. 2011;377(9773):1276-1287. doi:10.1016/S0140-6736(10)62349-5
  4. Holick MF. Vitamin D deficiency. N Engl J Med. 2007;357(3):266-281. doi:10.1056/NEJMra070553
  5. Bouillon R, Marcocci C, Carmeliet G, et al. Skeletal and extraskeletal actions of vitamin D: current evidence and outstanding questions. Endocr Rev. 2019;40(4):1109-1151. doi:10.1210/er.2018-00126
  6. Silva BC, Bilezikian JP. Parathyroid hormone: anabolic and catabolic actions on the skeleton. Curr Opin Pharmacol. 2015;22:41-50. doi:10.1016/j.coph.2015.03.005
  7. Anagnostis P, Florentin M, Livadas S, Lambrinoudaki I, Goulis DG. Bone health in patients with dyslipidemias: an underestimated aspect. Int J Mol Sci. 2022;23(3):1639. doi:10.3390/ijms23031639
  8. Napoli N, Chandran M, Pierroz DD, et al. Mechanisms of diabetes mellitus-induced bone fragility. Nat Rev Endocrinol. 2017;13(4):208-219. doi:10.1038/nrendo.2016.153
  9. Brunetti G. Recent updates on diabetes and bone. Int J Mol Sci. 2025; 26(17): 8140. doi:10.3390/ijms26178140
  10. Xiao PL, Cui AY, Hsu CJ, et al. Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis. Osteoporos Int. 2022;33(10):2137-2153. doi:10.1007/s00198-022-06454-3
  11. Cai S, Gao J, Li C, et al. Association of body mass index and bone mineral density in postmenopausal women: a systematic review and meta-analysis. Ann Med. 2025;57(1):2561227. doi:10.1080/07853890.2025.2561227
  12. He J, Deng S, Xie G, et al. The association between body-mass index and osteoporosis, with consideration of sex differences: a systematic review and dose-response meta-analysis. BMC Musculoskelet Disord. 2026; 27(1):362. doi:10.1186/s12891-026-09675-3
  13. Ge S, Li M, Bao X, et al. Correlation of body compositions and bone mineral density in postmenopausal women with different body-mass index. Front Endocrinol (Lausanne). 2025;16:1642801. doi:10.3389/fendo.2025.1642801
  14. Qu Z, Yang F, Hong J, Wang W, Yan S. Parathyroid hormone and bone mineral density: a mendelian randomization study. J Clin Endocrinol Metab. 2020;105(11):dgaa579. doi:10.1210/clinem/dgaa579
  15. Seeman E, Delmas PD. Bone quality--the material and structural basis of bone strength and fragility. N Engl J Med. 2006;354(21):2250-2261. doi:10.1056/NEJMra053077
  16. Zhao LJ, Liu YJ, Liu PY, Hamilton J, Recker RR, Deng HW. Relationship of obesity with osteoporosis. J Clin Endocrinol Metab. 2007;92(5):1640-1646. doi:10.1210/jc.2006-0572
  17. Kuo TR, Chen CH. Bone biomarker for the clinical assessment of osteoporosis: recent developments and future perspectives. Biomark Res. 2017;5:18. doi:10.1186/s40364-017-0097-4
  18. Lin KM, Lu CL, Hung KC, et al. The paradoxical role of uric acid in osteoporosis. Nutrients. 2019;11(9):2111. doi:10.3390/nu11092111
  19. Shen L, Meng F, Jiang Q, et al. Association of serum uric acid level with bone mineral density and the risk of osteoporosis: a dose-response meta-analysis. Int J Rheum Dis. 2025;28(1):e70013. doi:10.1111/1756-185X.70013
  20. Aydin A, Pasali Kilit T, Kir S, et al. A novel approach to determining bone loss through serum uric acid levels: a retrospective multicenter cohort analysis. J Clin Med. 2026;15(8):3020. doi:10.3390/jcm15083020