Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method

Abstract

Background The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is a golden standard to establish the diagnosis of osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested. Methods A total of 363 postmenopausal women over the age of 50 were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted, and the area under ROC curves (AUC) was determined to obtain the optimal cutoff values of the body composition variables for osteoporosis prediction. Results The correlation coefficient of FFM, FM, FM ratio, and BMR with femur neck T-score was 0.373, 0.266, 0.165, and 0.369, respectively, while with spine T-score was 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal cutoff value of 37.9 kg, 18.6 kg, and 1187.5 kcal, respectively, for detecting osteoporosis. Conclusions The present study provided a model to predict osteoporosis in postmenopausal women, and the optimal cutoff value of FFM, FM, and BMR could be calculated in the Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD. Trial registration ClinicalTrials.gov, NCT02936336. Retrospectively registered on13 October 2016.

The lower basal metabolic rate is associated with increased risk of osteosarcopenia in postmenopausal women

“…The authors mentioned the ratio of BMR to body surface area, which used to contradict the effect of height and weight on BMR, could be expressed as an objective feasible screening method for sarcopenia [ 16 ]. In another study, it was suggested that BMR might be a predictor for osteoporosis as they found that BMR and body fat significantly predicted BMD of the femoral neck and vertebral BMD among women over 50 years of age [ 17 ].…”

12-week curcumin supplementation may relieve postexercise muscle fatigue in adolescent athletes

“…We measured the participants’ body composition by using a body composition analyzer (InBody 720, Biospace, Seoul, Republic of Korea), which simultaneously records body weight, fat-free mass, body fat mass, and basal metabolic rate (BMR) ( 28 ).…”

Current Status of the Diagnosis and Management of Osteoporosis

“…BMR increases with the amount of cardiovascular exercise practiced and decreases with age. Hsu et al [ 194 ], in their study, found that a BMR above 1182.7 Kcal is associated with better BMD in postmenopausal women, which translates into a lower risk of osteoporosis.…”

“…Another effect of physical activity related to osteoporosis is related to BMR; cardiovascular and resistance exercise have been shown to increase BMR levels [ 199 ]. Several authors have tried to estimate BMD through different methods such as anthropometric measures; however, measures such as the waist hip index are insufficient to achieve a reliable estimate of BMD, while BMR could be positioned as an important predictor of osteoporosis because it has a direct relationship with BMD—the higher the BMR, the better the bone health that is expected [ 194 ].…”