{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T00:43:56Z","timestamp":1793148236743,"version":"4.5.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-94218-4","type":"journal-article","created":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T07:54:18Z","timestamp":1743407658000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["The association between ten anthropometric measures and osteoporosis and osteopenia among postmenopausal women"],"prefix":"10.1038","volume":"15","author":[{"given":"Jingyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuolin","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shouquan","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,31]]},"reference":[{"key":"94218_CR1","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1186\/s12884-019-2185-y","volume":"19","author":"L Gilbert","year":"2019","unstructured":"Gilbert, L. et al. How diet, physical activity and psychosocial well-being interact in women with gestational diabetes mellitus: An integrative review. BMC Pregnancy Childbirth 19, 60. https:\/\/doi.org\/10.1186\/s12884-019-2185-y (2019).","journal-title":"BMC Pregnancy Childbirth"},{"key":"94218_CR2","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1038\/ijo.2013.35","volume":"37","author":"M Dello Russo","year":"2013","unstructured":"Dello Russo, M. et al. Gestational weight gain and adiposity, fat distribution, metabolic profile, and blood pressure in offspring: The IDEFICS project. Int. J. Obes. (Lond.) 37, 914\u2013919. https:\/\/doi.org\/10.1038\/ijo.2013.35 (2013).","journal-title":"Int. J. Obes. (Lond.)"},{"key":"94218_CR3","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/s12020-021-02806-x","volume":"74","author":"E Shevroja","year":"2021","unstructured":"Shevroja, E., Cafarelli, F. P., Guglielmi, G. & Hans, D. DXA parameters, trabecular bone score (TBS) and bone mineral density (BMD), in fracture risk prediction in endocrine-mediated secondary osteoporosis. Endocrine 74, 20\u201328. https:\/\/doi.org\/10.1007\/s12020-021-02806-x (2021).","journal-title":"Endocrine"},{"key":"94218_CR4","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/s12902-019-0357-4","volume":"19","author":"L Wang","year":"2019","unstructured":"Wang, L. et al. Association between glycosylated hemoglobin A1c and bone biochemical markers in type 2 diabetic postmenopausal women: A cross-sectional study. BMC Endocr. Disord. 19, 31. https:\/\/doi.org\/10.1186\/s12902-019-0357-4 (2019).","journal-title":"BMC Endocr. Disord."},{"key":"94218_CR5","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1097\/GME.0b013e318277694f","volume":"20","author":"JP M\u00e9ndez","year":"2013","unstructured":"M\u00e9ndez, J. P. et al. Bone mineral density in postmenopausal Mexican-Mestizo women with normal body mass index, overweight, or obesity. Menopause 20, 568\u2013572. https:\/\/doi.org\/10.1097\/GME.0b013e318277694f (2013).","journal-title":"Menopause"},{"key":"94218_CR6","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1093\/jn\/117.1.48","volume":"117","author":"J Hallfrisch","year":"1987","unstructured":"Hallfrisch, J., Powell, A., Carafelli, C., Reiser, S. & Prather, E. S. Mineral balances of men and women consuming high fiber diets with complex or simple carbohydrate. J. Nutr. 117, 48\u201355. https:\/\/doi.org\/10.1093\/jn\/117.1.48 (1987).","journal-title":"J. Nutr."},{"key":"94218_CR7","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1056\/NEJMcp1513724","volume":"374","author":"DM Black","year":"2016","unstructured":"Black, D. M. & Rosen, C. J. Clinical practice. Postmenopausal osteoporosis. N. Engl. J. Med. 374, 254\u2013262. https:\/\/doi.org\/10.1056\/NEJMcp1513724 (2016).","journal-title":"N. Engl. J. Med."},{"key":"94218_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2021.631179","volume":"12","author":"P Piqueras","year":"2021","unstructured":"Piqueras, P. et al. Anthropometric indicators as a tool for diagnosis of obesity and other health risk factors: A literature review. Front. Psychol. 12, 631179. https:\/\/doi.org\/10.3389\/fpsyg.2021.631179 (2021).","journal-title":"Front. Psychol."},{"key":"94218_CR9","doi-asserted-by":"publisher","DOI":"10.3390\/nu13103373","author":"MR Islam","year":"2021","unstructured":"Islam, M. R., Moinuddin, M., Saqib, S. M. & Rahman, S. M. Relationship of anthropometric indicators of general and abdominal obesity with hypertension and their predictive performance among albanians: A nationwide cross-sectional study. Nutrients https:\/\/doi.org\/10.3390\/nu13103373 (2021).","journal-title":"Nutrients"},{"key":"94218_CR10","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1016\/0895-4356(91)90059-i","volume":"44","author":"R Valdez","year":"1991","unstructured":"Valdez, R. A simple model-based index of abdominal adiposity. J. Clin. Epidemiol. 44, 955\u2013956. https:\/\/doi.org\/10.1016\/0895-4356(91)90059-i (1991).","journal-title":"J. Clin. Epidemiol."},{"key":"94218_CR11","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/s0140-6736(21)00892-8","volume":"398","author":"KM Flegal","year":"2021","unstructured":"Flegal, K. M. BMI and obesity trends in Chinese national survey data. Lancet 398, 5\u20137. https:\/\/doi.org\/10.1016\/s0140-6736(21)00892-8 (2021).","journal-title":"Lancet"},{"key":"94218_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsbmb.2020.105737","volume":"203","author":"D Dhawan","year":"2020","unstructured":"Dhawan, D. & Sharma, S. Abdominal obesity, adipokines and non-communicable diseases. J. Steroid. Biochem. Mol. Biol. 203, 105737. https:\/\/doi.org\/10.1016\/j.jsbmb.2020.105737 (2020).","journal-title":"J. Steroid. Biochem. Mol. Biol."},{"key":"94218_CR13","doi-asserted-by":"publisher","DOI":"10.3390\/biom10030374","author":"YI Ragino","year":"2020","unstructured":"Ragino, Y. I., Stakhneva, E. M., Polonskaya, Y. V. & Kashtanova, E. V. The role of secretory activity molecules of visceral adipocytes in abdominal obesity in the development of cardiovascular disease: A review. Biomolecules https:\/\/doi.org\/10.3390\/biom10030374 (2020).","journal-title":"Biomolecules"},{"key":"94218_CR14","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1038\/ejcn.2012.83","volume":"66","author":"C Xia","year":"2012","unstructured":"Xia, C. et al. Lipid accumulation product is a powerful index for recognizing insulin resistance in non-diabetic individuals. Eur. J. Clin. Nutr. 66, 1035\u20131038. https:\/\/doi.org\/10.1038\/ejcn.2012.83 (2012).","journal-title":"Eur. J. Clin. Nutr."},{"key":"94218_CR15","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2021.717257","volume":"8","author":"JY Sun","year":"2021","unstructured":"Sun, J. Y. et al. Association between waist circumference and the prevalence of (Pre) hypertension among 27,894 US adults. Front. Cardiovasc. Med. 8, 717257. https:\/\/doi.org\/10.3389\/fcvm.2021.717257 (2021).","journal-title":"Front. Cardiovasc. Med."},{"key":"94218_CR16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0039504","volume":"7","author":"NY Krakauer","year":"2012","unstructured":"Krakauer, N. Y. & Krakauer, J. C. A new body shape index predicts mortality hazard independently of body mass index. PLoS One 7, e39504. https:\/\/doi.org\/10.1371\/journal.pone.0039504 (2012).","journal-title":"PLoS One"},{"key":"94218_CR17","doi-asserted-by":"publisher","DOI":"10.1136\/bmjdrc-2015-000188","volume":"4","author":"R Bouchi","year":"2016","unstructured":"Bouchi, R. et al. Indirect measure of visceral adiposity \u2018A Body Shape Index\u2019 (ABSI) is associated with arterial stiffness in patients with type 2 diabetes. BMJ Open Diabetes Res. Care 4, e000188. https:\/\/doi.org\/10.1136\/bmjdrc-2015-000188 (2016).","journal-title":"BMJ Open Diabetes Res. Care"},{"key":"94218_CR18","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18010281","author":"MR Nkwana","year":"2021","unstructured":"Nkwana, M. R., Monyeki, K. D. & Lebelo, S. L. Body roundness index, a body shape index, conicity index, and their association with nutritional status and cardiovascular risk factors in South African rural young adults. Int. J. Environ. Res. Public Health https:\/\/doi.org\/10.3390\/ijerph18010281 (2021).","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"94218_CR19","doi-asserted-by":"publisher","first-page":"2264","DOI":"10.1002\/oby.20408","volume":"21","author":"DM Thomas","year":"2013","unstructured":"Thomas, D. M. et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity (Silver Spring) 21, 2264\u20132271. https:\/\/doi.org\/10.1002\/oby.20408 (2013).","journal-title":"Obesity (Silver Spring)"},{"key":"94218_CR20","doi-asserted-by":"publisher","first-page":"123","DOI":"10.2217\/bmm-2023-0725","volume":"18","author":"Q Huang","year":"2024","unstructured":"Huang, Q. et al. Lipid accumulation product is a valid predictor of hepatic steatosis and nonalcoholic fatty liver disease. Biomark. Med. 18, 123\u2013135. https:\/\/doi.org\/10.2217\/bmm-2023-0725 (2024).","journal-title":"Biomark. Med."},{"key":"94218_CR21","doi-asserted-by":"publisher","first-page":"2831","DOI":"10.1007\/s40618-021-01608-2","volume":"44","author":"M Mirr","year":"2021","unstructured":"Mirr, M., Skrypnik, D., Bogda\u0144ski, P. & Owecki, M. Newly proposed insulin resistance indexes called TyG-NC and TyG-NHtR show efficacy in diagnosing the metabolic syndrome. J. Endocrinol. Invest. 44, 2831\u20132843. https:\/\/doi.org\/10.1007\/s40618-021-01608-2 (2021).","journal-title":"J. Endocrinol. Invest."},{"key":"94218_CR22","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1186\/s40779-021-00338-z","volume":"8","author":"WT Wu","year":"2021","unstructured":"Wu, W. T. et al. Data mining in clinical big data: The frequently used databases, steps, and methodological models. Mil. Med. Res. 8, 44. https:\/\/doi.org\/10.1186\/s40779-021-00338-z (2021).","journal-title":"Mil. Med. Res."},{"key":"94218_CR23","doi-asserted-by":"publisher","first-page":"1388647","DOI":"10.3389\/fnut.2024.1388647","volume":"11","author":"K Wang","year":"2024","unstructured":"Wang, K. et al. Associations of healthy eating index-2015 with osteoporosis and low bone mass density in postmenopausal women: A population-based study from NHANES 2007\u20132018. Front. Nutr. 11, 1388647. https:\/\/doi.org\/10.3389\/fnut.2024.1388647 (2024).","journal-title":"Front. Nutr."},{"key":"94218_CR24","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.1007\/s00198-023-06896-3","volume":"34","author":"J Wang","year":"2023","unstructured":"Wang, J., Xing, F., Sheng, N. & Xiang, Z. Associations of dietary oxidative balance score with femur osteoporosis in postmenopausal women: Data from the national health and nutrition examination survey. Osteoporos Int 34, 2087\u20132100. https:\/\/doi.org\/10.1007\/s00198-023-06896-3 (2023).","journal-title":"Osteoporos Int"},{"key":"94218_CR25","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.975400","volume":"13","author":"Y Tang","year":"2022","unstructured":"Tang, Y. et al. Systemic immune-inflammation index and bone mineral density in postmenopausal women: A cross-sectional study of the national health and nutrition examination survey (NHANES) 2007\u20132018. Front. Immunol. 13, 975400. https:\/\/doi.org\/10.3389\/fimmu.2022.975400 (2022).","journal-title":"Front. Immunol."},{"key":"94218_CR26","doi-asserted-by":"publisher","first-page":"1761","DOI":"10.1359\/jbmr.1997.12.11.1761","volume":"12","author":"AC Looker","year":"1997","unstructured":"Looker, A. C. et al. Prevalence of low femoral bone density in older U.S. adults from NHANES III. J. Bone. Miner. Res. 12, 1761\u20131768. https:\/\/doi.org\/10.1359\/jbmr.1997.12.11.1761 (1997).","journal-title":"J. Bone. Miner. Res."},{"key":"94218_CR27","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1002\/jbmr.3284","volume":"33","author":"SL Watson","year":"2018","unstructured":"Watson, S. L. et al. High-intensity resistance and impact training improves bone mineral density and physical function in postmenopausal women with osteopenia and osteoporosis: The LIFTMOR randomized controlled trial. J. Bone Miner. Res. 33, 211\u2013220. https:\/\/doi.org\/10.1002\/jbmr.3284 (2018).","journal-title":"J. Bone Miner. Res."},{"key":"94218_CR28","doi-asserted-by":"publisher","DOI":"10.3390\/biology11121804","author":"A Zwierzchowska","year":"2022","unstructured":"Zwierzchowska, A., Kantyka, J., Roso\u0142ek, B., Nawrat-Szo\u0142tysik, A. & Ma\u0142ecki, A. Sensitivity and specificity of anthropometric indices in identifying obesity in women over 40 years of age and their variability in subsequent decades of life. Biology (Basel) https:\/\/doi.org\/10.3390\/biology11121804 (2022).","journal-title":"Biology (Basel)"},{"key":"94218_CR29","doi-asserted-by":"publisher","first-page":"1428488","DOI":"10.3389\/fnut.2024.1428488","volume":"11","author":"J Zhang","year":"2024","unstructured":"Zhang, J. et al. Associations between novel anthropometric indices and the prevalence of gallstones among 6848 adults: A cross-sectional study. Front. Nutr. 11, 1428488. https:\/\/doi.org\/10.3389\/fnut.2024.1428488 (2024).","journal-title":"Front. Nutr."},{"key":"94218_CR30","doi-asserted-by":"publisher","first-page":"1341476","DOI":"10.3389\/fcvm.2024.1341476","volume":"11","author":"L Tang","year":"2024","unstructured":"Tang, L. & Zeng, L. Comparative efficacy of anthropometric indices in predicting 10-year ASCVD risk: Insights from NHANES data. Front. Cardiovasc. Med. 11, 1341476. https:\/\/doi.org\/10.3389\/fcvm.2024.1341476 (2024).","journal-title":"Front. Cardiovasc. Med."},{"key":"94218_CR31","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/1471-2261-5-26","volume":"5","author":"HS Kahn","year":"2005","unstructured":"Kahn, H. S. The, \u201clipid accumulation product\u201d performs better than the body mass index for recognizing cardiovascular risk: A population-based comparison. BMC Cardiovasc. Disord. 5, 26. https:\/\/doi.org\/10.1186\/1471-2261-5-26 (2005).","journal-title":"BMC Cardiovasc. Disord."},{"key":"94218_CR32","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1007\/s00198-022-06454-3","volume":"33","author":"PL Xiao","year":"2022","unstructured":"Xiao, P. L. 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. 33, 2137\u20132153. https:\/\/doi.org\/10.1007\/s00198-022-06454-3 (2022).","journal-title":"Osteoporos. Int."},{"key":"94218_CR33","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1016\/s0140-6736(10)62349-5","volume":"377","author":"TD Rachner","year":"2011","unstructured":"Rachner, T. D., Khosla, S. & Hofbauer, L. C. Osteoporosis: Now and the future. Lancet 377, 1276\u20131287. https:\/\/doi.org\/10.1016\/s0140-6736(10)62349-5 (2011).","journal-title":"Lancet"},{"key":"94218_CR34","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.maturitas.2009.03.002","volume":"63","author":"NM Schmitt","year":"2009","unstructured":"Schmitt, N. M., Schmitt, J. & D\u00f6ren, M. The role of physical activity in the prevention of osteoporosis in postmenopausal women-An update. Maturitas 63, 34\u201338. https:\/\/doi.org\/10.1016\/j.maturitas.2009.03.002 (2009).","journal-title":"Maturitas"},{"key":"94218_CR35","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1097\/aog.0000000000004730","volume":"139","author":"Management of Postmenopausal Osteoporosis","year":"2022","unstructured":"Management of Postmenopausal Osteoporosis. ACOG clinical practice guideline No. 2. Obstet. Gynecol. 139, 698\u2013717. https:\/\/doi.org\/10.1097\/aog.0000000000004730 (2022).","journal-title":"Obstet. Gynecol."},{"key":"94218_CR36","doi-asserted-by":"publisher","first-page":"10817","DOI":"10.1039\/d0fo00787k","volume":"11","author":"C Liu","year":"2020","unstructured":"Liu, C. et al. Effects of combined calcium and vitamin D supplementation on osteoporosis in postmenopausal women: A systematic review and meta-analysis of randomized controlled trials. Food Funct. 11, 10817\u201310827. https:\/\/doi.org\/10.1039\/d0fo00787k (2020).","journal-title":"Food Funct."},{"key":"94218_CR37","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1093\/bmb\/ldaa005","volume":"133","author":"MA Clynes","year":"2020","unstructured":"Clynes, M. A. et al. The epidemiology of osteoporosis. Br. Med. Bull. 133, 105\u2013117. https:\/\/doi.org\/10.1093\/bmb\/ldaa005 (2020).","journal-title":"Br. Med. Bull."},{"key":"94218_CR38","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD000333.pub2","author":"TE Howe","year":"2011","unstructured":"Howe, T. E. et al. Exercise for preventing and treating osteoporosis in postmenopausal women. Cochrane Datab. Syst. Rev. https:\/\/doi.org\/10.1002\/14651858.CD000333.pub2 (2011).","journal-title":"Cochrane Datab. Syst. Rev."},{"key":"94218_CR39","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1177\/0049475520922769","volume":"50","author":"K Sridharan","year":"2020","unstructured":"Sridharan, K. et al. Utility of anthropometric indicators in predicting osteoporosis in ambulant community dwelling rural postmenopausal women from southern India. Trop. Dr. 50, 228\u2013232. https:\/\/doi.org\/10.1177\/0049475520922769 (2020).","journal-title":"Trop. Dr."},{"key":"94218_CR40","doi-asserted-by":"publisher","first-page":"815342","DOI":"10.3389\/fmed.2022.815342","volume":"9","author":"YA Lin","year":"2022","unstructured":"Lin, Y. A. et al. The effectiveness of a group kickboxing training program on sarcopenia and osteoporosis parameters in community-dwelling adults aged 50\u201385 years. Front. Med. (Lausanne) 9, 815342. https:\/\/doi.org\/10.3389\/fmed.2022.815342 (2022).","journal-title":"Front. Med. (Lausanne)"},{"key":"94218_CR41","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/978-981-13-3681-2_16","volume":"91","author":"TJ Aspray","year":"2019","unstructured":"Aspray, T. J. & Hill, T. R. Osteoporosis and the ageing skeleton. Subcell. Biochem. 91, 453\u2013476. https:\/\/doi.org\/10.1007\/978-981-13-3681-2_16 (2019).","journal-title":"Subcell. Biochem."},{"key":"94218_CR42","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d1473","volume":"342","author":"E Warensj\u00f6","year":"2011","unstructured":"Warensj\u00f6, E. et al. Dietary calcium intake and risk of fracture and osteoporosis: Prospective longitudinal cohort study. BMJ 342, d1473. https:\/\/doi.org\/10.1136\/bmj.d1473 (2011).","journal-title":"BMJ"},{"key":"94218_CR43","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1007\/s44197-024-00275-9","volume":"14","author":"PJ Chen","year":"2024","unstructured":"Chen, P. J., Lu, Y. C., Lu, S. N., Liang, F. W. & Chuang, H. Y. Association between osteoporosis and adiposity index reveals nonlinearity among postmenopausal women and linearity among men aged over 50 years. J. Epidemiol. Glob. Health 14, 1202\u20131218. https:\/\/doi.org\/10.1007\/s44197-024-00275-9 (2024).","journal-title":"J. Epidemiol. Glob. Health"},{"key":"94218_CR44","doi-asserted-by":"publisher","first-page":"1448938","DOI":"10.3389\/fnut.2024.1448938","volume":"11","author":"Z Ding","year":"2024","unstructured":"Ding, Z. et al. Negative association between Body Roundness Index and bone mineral density: Insights from NHANES. Front Nutr 11, 1448938. https:\/\/doi.org\/10.3389\/fnut.2024.1448938 (2024).","journal-title":"Front Nutr"},{"key":"94218_CR45","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1186\/s12891-024-07553-4","volume":"25","author":"Y Huang","year":"2024","unstructured":"Huang, Y. & Ye, J. Association between hypertension and osteoporosis: A population-based cross-sectional study. BMC Musculoskelet. Disord. 25, 434. https:\/\/doi.org\/10.1186\/s12891-024-07553-4 (2024).","journal-title":"BMC Musculoskelet. Disord."},{"key":"94218_CR46","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1007\/s00467-020-04579-3","volume":"36","author":"M Litwin","year":"2021","unstructured":"Litwin, M. & Ku\u0142aga, Z. Obesity, metabolic syndrome, and primary hypertension. Pediatr. Nephrol. 36, 825\u2013837. https:\/\/doi.org\/10.1007\/s00467-020-04579-3 (2021).","journal-title":"Pediatr. Nephrol."},{"key":"94218_CR47","doi-asserted-by":"publisher","DOI":"10.2196\/41973","volume":"9","author":"K Wang","year":"2023","unstructured":"Wang, K., Xia, F., Li, Q., Luo, X. & Wu, J. The associations of weekend warrior activity patterns with the visceral adiposity index in US adults: Repeated cross-sectional study. JMIR Public Health Surveill. 9, e41973. https:\/\/doi.org\/10.2196\/41973 (2023).","journal-title":"JMIR Public Health Surveill."},{"key":"94218_CR48","doi-asserted-by":"publisher","DOI":"10.1007\/s44197-024-00275-9","author":"PJ Chen","year":"2024","unstructured":"Chen, P. J., Lu, Y. C., Lu, S. N., Liang, F. W. & Chuang, H. Y. Association between osteoporosis and adiposity index reveals nonlinearity among postmenopausal women and linearity among men aged over 50 years. J. Epidemiol. Glob. Health https:\/\/doi.org\/10.1007\/s44197-024-00275-9 (2024).","journal-title":"J. Epidemiol. Glob. Health"},{"key":"94218_CR49","doi-asserted-by":"publisher","first-page":"1380218","DOI":"10.3389\/fpubh.2024.1380218","volume":"12","author":"P Xia","year":"2024","unstructured":"Xia, P., Jiang, Y., Cai, F., Peng, S. & Xu, Z. Construction and verification of risk prediction model of osteoporotic fractures in patients with osteoporosis in China. Front. Public Health 12, 1380218. https:\/\/doi.org\/10.3389\/fpubh.2024.1380218 (2024).","journal-title":"Front. Public Health"},{"key":"94218_CR50","doi-asserted-by":"publisher","DOI":"10.1002\/minf.202100264","volume":"41","author":"TNK Hung","year":"2022","unstructured":"Hung, T. N. K. et al. An AI-based prediction model for drug-drug interactions in osteoporosis and paget\u2019s diseases from SMILES. Mol. Inform. 41, e2100264. https:\/\/doi.org\/10.1002\/minf.202100264 (2022).","journal-title":"Mol. Inform."},{"key":"94218_CR51","doi-asserted-by":"publisher","first-page":"1499479","DOI":"10.3389\/fendo.2024.1499479","volume":"15","author":"A Shirinezhad","year":"2024","unstructured":"Shirinezhad, A. et al. A systematic review of the association between insulin resistance surrogate indices and bone mineral density. Front. Endocrinol. (Lausanne) 15, 1499479. https:\/\/doi.org\/10.3389\/fendo.2024.1499479 (2024).","journal-title":"Front. Endocrinol. (Lausanne)"},{"key":"94218_CR52","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.bone.2018.09.012","volume":"117","author":"D Du","year":"2018","unstructured":"Du, D. et al. TNF-\u03b1 suppresses osteogenic differentiation of MSCs by accelerating P2Y(2) receptor in estrogen-deficiency induced osteoporosis. Bone 117, 161\u2013170. https:\/\/doi.org\/10.1016\/j.bone.2018.09.012 (2018).","journal-title":"Bone"},{"key":"94218_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2020.115710","volume":"142","author":"S Yuan","year":"2021","unstructured":"Yuan, S. & Shen, J. Bacteroides vulgatus diminishes colonic microbiota dysbiosis ameliorating lumbar bone loss in ovariectomized mice. Bone 142, 115710. https:\/\/doi.org\/10.1016\/j.bone.2020.115710 (2021).","journal-title":"Bone"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94218-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94218-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94218-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T07:54:20Z","timestamp":1743407660000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-94218-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":53,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["94218"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-94218-4","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,31]]},"assertion":[{"value":"17 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The ethics review board of the National Center for Health Statistics approved all NHANES protocols. All procedures performed in this study involving human participants were conducted in accordance with the ethical standards of the institutional and\/or national research committee, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The data used in this study were obtained from the publicly accessible National Health and Nutrition Examination Survey (NHANES) database, which is maintained by the Centers for Disease Control and Prevention (CDC). The NHANES data can be accessed via the following link:\n                      \n                      . NHANES data are available for public use and do not require special access permissions. No additional original data were generated during this study. All data supporting the findings of this research are based on secondary analysis of NHANES data. Data privacy and confidentiality are maintained by NHANES, and all identifying information has been removed to ensure participant anonymity. Therefore, no restrictions apply to the sharing of this data.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}}],"article-number":"10994"}}