Association between body mass index, bone bending strength, and BMD in young sedentary women
- PMID: 34655302
- DOI: 10.1007/s00198-021-06201-0
Association between body mass index, bone bending strength, and BMD in young sedentary women
Abstract
The rationale was to determine whether body mass index (BMI) is a predictor of bone bending strength and bone mineral density (BMD) in young sedentary women. Results show that BMI is not a predictor of bone bending strength and that young women with low BMI also have low BMD.
Introduction: The purpose of this study was to determine whether body mass index (BMI) is a predictor of tibial or ulnar bending strength and bone mineral density (BMD) in sedentary women.
Methods: Sedentary women (n = 34), age 19-27 years, with low BMI (LBMI < 18.5 kg/m2, n = 16), and normal or high BMI (NHBMI between 18.5 and 29.9 kg/m2, n = 18) participated as study subjects. Study outcomes included tibial and ulnar bending strength (EI in Nm2) using a non-invasive mechanical response tissue analyzer (MRTA); BMD and bone mineral content (BMC) of the whole body (WB), femoral neck (FN), total hip (TH), lumbar spine 1-4 (LS1-4), and ulna; and bone turnover biomarkers.
Results: The LBMI group have lower (p < 0.01) body weight [group difference (Δ) = 32.0%], lean mass (LM) (Δ = 23.1%), fat mass (FM) (Δ = 77.2%), and tibial bending strength (Δ = 22.0%), compared to the NHBMI. The LBMI group also have lower (all p < 0.025) BMC in WB (Δ = 19.9%), FN (Δ = 20.1%) and TH (Δ = 19.0%), compared to the NHMBI, not in BMD results. Multivariate regression analysis shows that significant predictors of tibial bending strength are tibia length (adjusted R2 = .341), age (adjusted R2 = .489), ulna BMD (adjusted R2 = .536), and LM (adjusted R2 = .580). BMI was positively correlated with tibial EI (p < 0.05), height, weight, FM, LM, body fat% (all p < 0.01), and BMD of WB, FN, TH, and LS 1-4 (p < 0.05 or < 0.01).
Conclusions: Our results show that BMI is not a significant predictor of tibial or ulnar bending strength in young sedentary women.
Keywords: Bone mineral content; Bone turnover biomarkers; Dual-energy X-ray absorptiometry; Fat mass; Lean mass; Mechanical response tissue analyzer.
© 2021. International Osteoporosis Foundation and National Osteoporosis Foundation.
References
-
- Ravn P, Cizza G, Bjarnason NH, Thompson D, Daley M, Wasnich RD, McClung M, Hosking D, Yates AJ, Christiansen C (1999) Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early Postmenopausal Intervention Cohort (EPIC) study group. J Bone Miner Res 14(9):1622–1627 - DOI
-
- Morin S, Tsang JF, Leslie WD (2009) Weight and body mass index predict bone mineral density and fractures in women aged 40 to 59 years. Osteoporos Int 20:363–370. https://doi.org/10.1007/s00198-008-0688-x - DOI - PubMed
-
- Yoo HJ, Park MS, Yang SJ, Kim TN, Lim KI, Kang HJ, Song W, Baik SH, Choi DS, Choi KM (2012) The differential relationship between fat mass and bone mineral density by gender and menopausal status. J Bone Miner Metab 30:47–53 - DOI
-
- Johansson H, Kanis JA, Odén A, McCloskey E, Roland D, Chapurlat RD, Christiansen C et al (2014) A meta-analysis of the association of fracture risk and body mass index in women. J Bone Min Res 29(1):223–233. https://doi.org/10.1002/jbmr.2017 - DOI
-
- Bierhals IO, Vaz JDS, Bielemann RM, Mola CL, Barros FC, Goncalves H et al (2019) Associations between body mass index, body composition and bone density in young adults: findings from a southern Brazilian cohort. BMC Musculoskelet Disord 20:322 - DOI
MeSH terms
LinkOut - more resources
Full Text Sources