Walking balance is mediated by muscle strength and bone mineral density in postmenopausal women: an observational study

• Published in: BMC musculoskeletal disorders Vol. 19; no. 1; pp. 84 - 10
• Main Authors: Ibeneme, S C, Ekanem, C, Ezuma, A, Iloanusi, N, Lasebikan, N N, Lasebikan, O A, Oboh, O E
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.03.2018; BioMed Central; BMC
• Subjects: Adult; Aged; Body composition; Bone Density - physiology; Bone mineral density; Bones; Density; Equilibrium (Physiology); Female; Humans; Measurement; Middle Aged; Muscle strength; Muscle Strength - physiology; Observations; Physiological aspects; Postmenopausal women; Postmenopause - physiology; Postural Balance - physiology; Premenopause - physiology; Walking - physiology; Walking balance; Bone mineral density; Postmenopausal women; Muscle strength; Walking balance; Body composition
• ISSN: 1471-2474; 1471-2474
• DOI: 10.1186/s12891-018-2000-3

Depletion of ovarian hormone in postmenopausal women has been associated with changes in the locomotor apparatus that may compromise walking function including muscle atrophy/weakness, weight gain, and bone demineralization. Therefore, handgrip strength (HGS), bone mineral density (BMD) and body composition [percentage body fat mass (%BFM), fat mass (FM), Fat-free mass (FFM) and body mass index (BMI)], may significantly vary and predict WB in postmenopausal women. Consequently, the study sought to 1. Explore body composition, BMD and muscle strength differences between premenopausal and postmenopausal women and 2. Explore how these variables [I.e., body composition, BMD and muscle strength] relate to WB in postmenopausal women. Fifty-one pre-menopausal (35.74 + 1.52) and 50 postmenopausal (53.32 + 2.28) women were selected by convenience sampling and studied. Six explanatory variables (HGS, BMD, %BFM, FFM, BMI and FM) were explored to predict WB in postmenopausal women: Data collected were analyzed using multiple linear regression, ANCOVA, independent t-test and Pearson correlation coefficient at p < 0.05. Postmenopausal women had higher BMI(t = + 1.72; p = 0.04), %BFM(t = + 2.77; p = .003), FM(t = + 1.77; p = 0.04) and lower HGS(t = - 3.05; p = 0.001),compared to the premenopausal women. The predicted main effect of age on HGS was not significant, F(1, 197) = 0.03, p = 0.06, likewise the interaction between age and %BFM, F(1, 197) = 0.02, p = 0.89; unlike the predicted main effect of %BFM, F(1, 197) = 10.34, p = .002, on HGS. HGS was the highest predictor of WB (t = 2.203; β=0.3046) in postmenopausal women and combined with T-score right big toe (Tscorert) to produce R  = 0.11;F (2, 47)=4.11;p = 0.02 as the best fit for the predictive model. The variance (R ) change was significant from HGS model (R  = 0.09;p = 0.03) to HGS + Tscorert model (R  = 0.11;p = 0.02). The regression model equation was therefore given as: WB =5.4805 + 0.1578(HGS) + (- 1.3532) Tscorert. There are differences in body composition suggesting re-compartmentalization of the body, which may adversely impact the (HGS) muscle strength in postmenopausal women. Muscle strength and BMD are associated with WB, although, only contribute to a marginal amount of the variance for WB. Therefore, other factors in addition to musculoskeletal health are necessary to mitigate fall risk in postmenopausal women.