{"title":"Association Between Allometric Body Shape Indices and Osteoporosis in Postmenopausal Women: A Cross-Sectional Study from NHANES.","authors":"Songfeng Zhao, Xin Pan","doi":"10.2147/IJWH.S490741","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Osteoporosis is a common health concern in postmenopausal women. Obesity, commonly assessed using body mass index (BMI), may have a protective effect on osteoporosis in postmenopausal women. As BMI is limited to the distinguishing fat accumulation, the study aimed to explore the association between allometric body shape indices [including a body shape index (ABSI), hip index, (HI), and waist-hip index (WHI)] and osteoporosis in postmenopausal women.</p><p><strong>Methods: </strong>Postmenopausal women aged >50 years in the National Health and Nutrition Examination Survey from 2017 through 2020 (revised to 01/2017 through 12/2020) were included. Potential covariates were selected using the univariate logistic regression models. The association between allometric body shape indices and osteoporosis was explored using weighted univariate and multivariate logistic regression models, with results presented as odds ratios (ORs) and 95% confidence intervals (CIs). The association was further explored in different age and BMI populations. Area under the curve (AUC) analysis was conducted to evaluate the predictive performance of WHI.</p><p><strong>Results: </strong>In total, 810 postmenopausal women aged >50 years were included. Among them, 597 (73.70%) women have osteoporosis. WHI ≥0.094 (OR = 2.07, 95% CI: 1.14-3.78) was associated with higher odds of osteoporosis in postmenopausal women. BMI ≥30 kg/m<sup>2</sup> (OR = 0.23, 95% CI: 0.11-0.50) was also related to decreased odds of osteoporosis. ABSI ≥85.74 was related to a higher incidence of osteoporosis in women aged ≥70 years (OR = 4.18, 95% CI: 1.22-14.35) and BMI ≥30 kg/m<sup>2</sup> (OR = 4.25, 95% CI: 1.82-9.95). The WHI has a better predictive performance with an AUC of 0.656 (95% CI: 0.613-0.699) than the waist-hip ratio.</p><p><strong>Conclusion: </strong>Higher WHI was associated with an increased incidence of osteoporosis in postmenopausal women. Higher ABSI was related to a higher incidence of osteoporosis in women aged ≥70 years and those with a BMI ≥30 kg/m<sup>2</sup>. WHI could predict the incidence of osteoporosis in postmenopausal women.</p>","PeriodicalId":14356,"journal":{"name":"International Journal of Women's Health","volume":"17 ","pages":"109-118"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11766363/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Women's Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IJWH.S490741","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Osteoporosis is a common health concern in postmenopausal women. Obesity, commonly assessed using body mass index (BMI), may have a protective effect on osteoporosis in postmenopausal women. As BMI is limited to the distinguishing fat accumulation, the study aimed to explore the association between allometric body shape indices [including a body shape index (ABSI), hip index, (HI), and waist-hip index (WHI)] and osteoporosis in postmenopausal women.
Methods: Postmenopausal women aged >50 years in the National Health and Nutrition Examination Survey from 2017 through 2020 (revised to 01/2017 through 12/2020) were included. Potential covariates were selected using the univariate logistic regression models. The association between allometric body shape indices and osteoporosis was explored using weighted univariate and multivariate logistic regression models, with results presented as odds ratios (ORs) and 95% confidence intervals (CIs). The association was further explored in different age and BMI populations. Area under the curve (AUC) analysis was conducted to evaluate the predictive performance of WHI.
Results: In total, 810 postmenopausal women aged >50 years were included. Among them, 597 (73.70%) women have osteoporosis. WHI ≥0.094 (OR = 2.07, 95% CI: 1.14-3.78) was associated with higher odds of osteoporosis in postmenopausal women. BMI ≥30 kg/m2 (OR = 0.23, 95% CI: 0.11-0.50) was also related to decreased odds of osteoporosis. ABSI ≥85.74 was related to a higher incidence of osteoporosis in women aged ≥70 years (OR = 4.18, 95% CI: 1.22-14.35) and BMI ≥30 kg/m2 (OR = 4.25, 95% CI: 1.82-9.95). The WHI has a better predictive performance with an AUC of 0.656 (95% CI: 0.613-0.699) than the waist-hip ratio.
Conclusion: Higher WHI was associated with an increased incidence of osteoporosis in postmenopausal women. Higher ABSI was related to a higher incidence of osteoporosis in women aged ≥70 years and those with a BMI ≥30 kg/m2. WHI could predict the incidence of osteoporosis in postmenopausal women.
期刊介绍:
International Journal of Women''s Health is an international, peer-reviewed, open access, online journal. Publishing original research, reports, editorials, reviews and commentaries on all aspects of women''s healthcare including gynecology, obstetrics, and breast cancer. Subject areas include: Chronic conditions including cancers of various organs specific and not specific to women Migraine, headaches, arthritis, osteoporosis Endocrine and autoimmune syndromes - asthma, multiple sclerosis, lupus, diabetes Sexual and reproductive health including fertility patterns and emerging technologies to address infertility Infectious disease with chronic sequelae including HIV/AIDS, HPV, PID, and other STDs Psychological and psychosocial conditions - depression across the life span, substance abuse, domestic violence Health maintenance among aging females - factors affecting the quality of life including physical, social and mental issues Avenues for health promotion and disease prevention across the life span Male vs female incidence comparisons for conditions that affect both genders.