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Walking balance is mediated by muscle strength and bone mineral density in postmenopausal women: an observational study.
Ibeneme, SC, Ekanem, C, Ezuma, A, Iloanusi, N, Lasebikan, NN, Lasebikan, OA, Oboh, OE
BMC musculoskeletal disorders. 2018;19(1):84
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Menopause is associated with changes in body composition such as an increase in body weight and body fat, and a decrease in muscle and bone mass. These changes in body composition may be partly responsible for an increased risk of falls in older women. This observational study had two aims: 1) to explore differences in body composition between premenopausal and postmenopausal women, and 2) to explore how body composition relates to walking balance in postmenopausal women. Fifty-one pre-menopausal and 50 postmenopausal women were selected to take part in this Nigerian study. The women were tested for hand grip strength (HGS), bone mineral density (BMD), percentage body fat mass (%BFM), fat mass (FM) fat-free mass (FFM) and body mass index (BMI). A test was also carried out to assess walking balance (WB) in each of the women. The researchers found that the postmenopausal women had higher BMI, %BFM, FM and lower HGS, compared to the premenopausal women. HGS was the strongest predictor of WB in postmenopausal women and BMD was also related to WB. The authors concluded that differences in body composition may adversely impact muscle strength in postmenopausal women. Muscle strength and BMD are associated with WB, but only explain a small amount of the variance for WB. Therefore, other factors in addition to musculoskeletal health are necessary to mitigate fall risk in postmenopausal women.
Abstract
BACKGROUND 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. METHOD 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. RESULT 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 R2 = 0.11;F (2, 47)=4.11;p = 0.02 as the best fit for the predictive model. The variance (R2) change was significant from HGS model (R2 = 0.09;p = 0.03) to HGS + Tscorert model (R2 = 0.11;p = 0.02). The regression model equation was therefore given as: WB =5.4805 + 0.1578(HGS) + (- 1.3532) Tscorert. CONCLUSION 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.
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Vegetable Diversity, Injurious Falls, and Fracture Risk in Older Women: A Prospective Cohort Study.
Sim, M, Blekkenhorst, LC, Lewis, JR, Bondonno, CP, Devine, A, Zhu, K, Woodman, RJ, Prince, RL, Hodgson, JM
Nutrients. 2018;10(8)
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Vegetables contain a variety of nutrients and phytochemicals, with a range of health benefits. Previous research has linked higher vegetable consumption in older populations with a lower risk of falls. The importance of vegetable diversity (number of different vegetables consumed) for the risk of falling and fractures is unclear. The objective of this study was to examine the relationship between vegetable diversity with falls and fractures leading to hospitalisation in a prospective cohort of Australian women aged 70 years or over. Vegetable diversity was quantified by assessing the number of different vegetables consumed daily. Vegetable intake was estimated using a food frequency questionnaire at baseline in 1998. Over 14.5 years, injurious falls and fractures were captured using health records. Over 14.5 years of follow-up 39.7% of participants experienced an injurious fall. The percentage of women who experienced an injurious fall in the low (≤3/day), moderate (4/day) and high (≥5/day) vegetable diversity groups were 42.6%, 40.2%, and 36.6%, respectively. For each additional vegetable consumed, there was an 8% reduction in the risk of falls and a 9% reduction in the risk of fractures. The largest benefit of higher vegetable diversity were observed in the one third of women with the lowest vegetable intake (<2.2 servings/day). The authors concluded that increasing vegetable diversity, especially in older women with low vegetable intake, may be an effective way to reduce injurious fall and fracture risk.
Abstract
The importance of vegetable diversity for the risk of falling and fractures is unclear. Our objective was to examine the relationship between vegetable diversity with injurious falling and fractures leading to hospitalization in a prospective cohort of older Australian women (n = 1429, ≥70 years). Vegetable diversity was quantified by assessing the number of different vegetables consumed daily. Vegetable intake (75 g servings/day) was estimated using a validated food frequency questionnaire at baseline (1998). Over 14.5 years, injurious falls (events = 568, 39.7%), and fractures (events = 404, 28.3%) were captured using linked health records. In multivariable-adjusted Cox regression models, women with greater vegetable diversity (per increase in one different vegetable/day) had lower relative hazards for falls (8%; p = 0.02) and fractures (9%; p = 0.03). A significant interaction between daily vegetable diversity (number/day) and total vegetable intake (75 g servings/day) was observed for falls (pinteraction = 0.03) and fractures (pinteraction < 0.001). The largest benefit of higher vegetable diversity were observed in the one third of women with the lowest vegetable intake (<2.2 servings/day; falls HR 0.83 95% CI (0.71⁻0.98); fractures HR 0.74 95% CI (0.62⁻0.89)). Increasing vegetable diversity especially in older women with low vegetable intake may be an effective way to reduce injurious fall and fracture risk.