Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study
Abstract Objective Our study investigated the associations between bone turnover markers (BTMs) and bone mineral density (BMD) and fracture risk over the next 10 years. The objective of the study was to evaluate the potential effects of BTMs in fracture risk. Methods Our cross-sectional study enroll...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | BMC Musculoskeletal Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12891-025-08571-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850132925812572160 |
|---|---|
| author | Xiaoli Qu Qinyi Wang Chuo Luo Yongfang Li Lin Tian Lulu Xu Zhifeng Sheng |
| author_facet | Xiaoli Qu Qinyi Wang Chuo Luo Yongfang Li Lin Tian Lulu Xu Zhifeng Sheng |
| author_sort | Xiaoli Qu |
| collection | DOAJ |
| description | Abstract Objective Our study investigated the associations between bone turnover markers (BTMs) and bone mineral density (BMD) and fracture risk over the next 10 years. The objective of the study was to evaluate the potential effects of BTMs in fracture risk. Methods Our cross-sectional study enrolled 580 participants (380 postmenopausal women and 200 men over the age of 50). All participants completed a questionnaire and dual-energy X-ray absorptiometry examination. We obtained BMD values for the lumbar spine, femoral neck, and total hip joint and biochemical indicators such as creatinine, type 1 procollagen N-terminal propeptide (P1NP), and beta cross-linked C-telopeptide of type 1 collagen (β-CTX). Furthermore, we used an online fracture risk assessment tool (FRAX) to calculate the probability of major osteoporotic fractures (PMOF) and hip fractures (PHF) over the next 10 years. We divided the participants into three groups based on the BMD T-score criteria: normal bone mass group (T-score ≥ − 1.0 SD), osteopenic group (− 2.5 SD < T-score < − 1.0 SD), and osteoporotic group (T-score ≤ − 2.5 SD). We compared differences in BTMs, BMD, and fracture risks among the three groups. Additionally, we evaluated differences in indicators between males and females and explored risk factors associated with BMD and fracture risk. Results Postmenopausal women showed higher bone turnover markers, osteoporosis prevalence, and fracture risks compared to men. In a multivariate stepwise regression analysis, we identified P1NP was positively correlated with fracture risk for both PMOF (β = 0.087, p = 0.005) and PHF (β = 0.135, p < 0.001) over the next 10 years. In the logistic regression analysis, after adjusting for sex, we found that for every standard deviation increase in P1NP, the future 10-year risk of fractures increased by approximately 5.2-fold in the high PMOF group and 5.6-fold in the high PHF group. Conclusion Our study demonstrated that elevated serum P1NP levels were associated with increased fracture risk over a 10-year period. These findings suggested that serum P1NP measurement could be a valuable complementary tool alongside BMD measurements and FRAX assessments for identifying individuals at high risk of fracture. |
| format | Article |
| id | doaj-art-a121a134aa0f46b59475f2d1cf9de3f2 |
| institution | OA Journals |
| issn | 1471-2474 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Musculoskeletal Disorders |
| spelling | doaj-art-a121a134aa0f46b59475f2d1cf9de3f22025-08-20T02:32:05ZengBMCBMC Musculoskeletal Disorders1471-24742025-05-012611910.1186/s12891-025-08571-6Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional studyXiaoli Qu0Qinyi Wang1Chuo Luo2Yongfang Li3Lin Tian4Lulu Xu5Zhifeng Sheng6Health Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityHealth Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityHealth Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityHealth Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityHealth Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityHealth Management Center, The Second Xiangya Hospital of Central South UniversityHealth Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South UniversityAbstract Objective Our study investigated the associations between bone turnover markers (BTMs) and bone mineral density (BMD) and fracture risk over the next 10 years. The objective of the study was to evaluate the potential effects of BTMs in fracture risk. Methods Our cross-sectional study enrolled 580 participants (380 postmenopausal women and 200 men over the age of 50). All participants completed a questionnaire and dual-energy X-ray absorptiometry examination. We obtained BMD values for the lumbar spine, femoral neck, and total hip joint and biochemical indicators such as creatinine, type 1 procollagen N-terminal propeptide (P1NP), and beta cross-linked C-telopeptide of type 1 collagen (β-CTX). Furthermore, we used an online fracture risk assessment tool (FRAX) to calculate the probability of major osteoporotic fractures (PMOF) and hip fractures (PHF) over the next 10 years. We divided the participants into three groups based on the BMD T-score criteria: normal bone mass group (T-score ≥ − 1.0 SD), osteopenic group (− 2.5 SD < T-score < − 1.0 SD), and osteoporotic group (T-score ≤ − 2.5 SD). We compared differences in BTMs, BMD, and fracture risks among the three groups. Additionally, we evaluated differences in indicators between males and females and explored risk factors associated with BMD and fracture risk. Results Postmenopausal women showed higher bone turnover markers, osteoporosis prevalence, and fracture risks compared to men. In a multivariate stepwise regression analysis, we identified P1NP was positively correlated with fracture risk for both PMOF (β = 0.087, p = 0.005) and PHF (β = 0.135, p < 0.001) over the next 10 years. In the logistic regression analysis, after adjusting for sex, we found that for every standard deviation increase in P1NP, the future 10-year risk of fractures increased by approximately 5.2-fold in the high PMOF group and 5.6-fold in the high PHF group. Conclusion Our study demonstrated that elevated serum P1NP levels were associated with increased fracture risk over a 10-year period. These findings suggested that serum P1NP measurement could be a valuable complementary tool alongside BMD measurements and FRAX assessments for identifying individuals at high risk of fracture.https://doi.org/10.1186/s12891-025-08571-6Bone turnover markersBone mineral densityFracture riskFRAX |
| spellingShingle | Xiaoli Qu Qinyi Wang Chuo Luo Yongfang Li Lin Tian Lulu Xu Zhifeng Sheng Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study BMC Musculoskeletal Disorders Bone turnover markers Bone mineral density Fracture risk FRAX |
| title | Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study |
| title_full | Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study |
| title_fullStr | Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study |
| title_full_unstemmed | Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study |
| title_short | Association between bone turnover markers and FRAX predicted fracture risk in Chinese adults: a cross-sectional study |
| title_sort | association between bone turnover markers and frax predicted fracture risk in chinese adults a cross sectional study |
| topic | Bone turnover markers Bone mineral density Fracture risk FRAX |
| url | https://doi.org/10.1186/s12891-025-08571-6 |
| work_keys_str_mv | AT xiaoliqu associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT qinyiwang associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT chuoluo associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT yongfangli associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT lintian associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT luluxu associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy AT zhifengsheng associationbetweenboneturnovermarkersandfraxpredictedfractureriskinchineseadultsacrosssectionalstudy |