与绝经前和绝经后妇女的肌肉减少症测量指标相关的因素。
Factors associated with measures of sarcopenia in pre and postmenopausal women.
机构信息
Department of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka.
Department of Anatomy, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
出版信息
BMC Womens Health. 2021 Jan 2;21(1):5. doi: 10.1186/s12905-020-01153-9.
BACKGROUND
Menopause associated low serum estradiol marks varieties of derangements in muscle mass and functions leading to sarcopenia. This cross-sectional study was carried out to examine the factors associated with measures of sarcopenia; skeletal muscle mass (SMM), muscle strength and physical performance (PP) in a group of premenopausal (PrMW) and postmenopausal women (PMW) selected from Sri Lanka.
METHODS
Randomly selected 184 PrMW and 166 PMW from Galle district, Sri Lanka were studied. SMM was measured with duel energy X ray absorptiometry and relative appendicular SMM index (RSMI; kg/m) was calculated. Other measurements made include handgrip strength (HGS; kg) and gait speed (GS; m/s), anthropometric indices, consumption of macro and micronutrients, and pattern of physical activities (PA). A serum sample was analyzed for fasting insulin, serum estradiol and vitamin D. Variables which significantly correlated with RSMI, HGS and GS of PrMW and PMW were separately entered into multiple linear regression models to extract the associated factors.
RESULTS
Mean (SD) age of PrMW and PMW were 42.4 (6.0) and 55.8 (3.8) years respectively. In the regression analysis, RSMI in PrMW showed significant associations with body mass index (BMI), HGS, total-body-fat-mass (TBFM) and weight (adjusted R = 0.85) and in PMW with BMI, weight, TBFM, hip-circumference and fasting insulin (adjusted R = 0.80). BMI showed the strongest association with RSMI in both PrMW (r = 0.87, R = 0.76) and in PMW (r = 0.87, R = 0.76). HGS in PrMW showed significant associations with appendicular SMM (ASMM), total-body-bone-mineral-content, vigorous PA score, age and weight (adjusted R = 0.33) and in PMW with ASMM and height (adjusted R = 0.23). ASMM showed the strongest association with HGS in both PrMW (r = 0.44, R = 0.20) and PMW (r = 0.44, R = 0.20). GS in PrMW showed significant associations with height, BMI and energy consumption (adjusted R = 0.13) while in PMW, with carbohydrate consumption and total-body-bone-mineral-density (adjusted R = 0.09). While in PrMW, height showed the strongest association with GS (r = 0.28, R = 0.08) in PMW, it was carbohydrate consumption (r = 0.24, R = 0.06).
CONCLUSIONS
Factors that are associated with different measures of sarcopenia are not uniform and vary widely from anthropometry to nutrient intake indicating that these measures are somewhat independent and are governed by different factors.
背景
绝经后血清雌二醇水平降低标志着肌肉质量和功能的多种紊乱，导致肌肉减少症。本横断面研究旨在检查与肌肉减少症的测量相关的因素; 骨骼肌质量 (SMM)、肌肉力量和身体表现 (PP) 在一组来自斯里兰卡的绝经前 (PrMW) 和绝经后 (PMW) 女性中进行研究。
方法
从斯里兰卡加勒地区随机选择 184 名 PrMW 和 166 名 PMW 进行研究。使用双能 X 射线吸收法测量 SMM，并计算相对四肢 SMM 指数 (RSMI; kg/m)。其他测量包括握力 (HGS; kg) 和步速 (GS; m/s)、人体测量指标、宏量和微量营养素的消耗以及体力活动 (PA) 模式。分析血清样本中的空腹胰岛素、血清雌二醇和维生素 D。与 PrMW 和 PMW 的 RSMI、HGS 和 GS 显著相关的变量分别输入多元线性回归模型以提取相关因素。
结果
PrMW 和 PMW 的平均 (SD) 年龄分别为 42.4 (6.0) 和 55.8 (3.8) 岁。在回归分析中，PrMW 的 RSMI 与体重指数 (BMI)、HGS、全身脂肪量 (TBFM) 和体重呈显著相关(调整后的 R = 0.85)，而 PMW 与 BMI、体重、TBFM、臀围和空腹胰岛素呈显著相关(调整后的 R = 0.80)。在 PrMW 和 PMW 中，BMI 与 RSMI 的相关性最强(r = 0.87，R = 0.76)。PrMW 的 HGS 与四肢 SMM (ASMM)、全身骨矿物质含量、剧烈 PA 评分、年龄和体重呈显著相关(调整后的 R = 0.33)，而 PMW 与 ASMM 和身高呈显著相关(调整后的 R = 0.23)。在 PrMW 和 PMW 中，ASMM 与 HGS 的相关性最强(r = 0.44，R = 0.20)。PrMW 的 GS 与身高、BMI 和能量消耗呈显著相关(调整后的 R = 0.13)，而 PMW 与碳水化合物消耗和全身骨矿物质密度呈显著相关(调整后的 R = 0.09)。在 PrMW 中，身高与 GS 的相关性最强(r = 0.28，R = 0.08)，而在 PMW 中，与碳水化合物消耗的相关性最强(r = 0.24，R = 0.06)。
结论
与不同肌肉减少症测量相关的因素并不统一，从人体测量到营养素摄入差异很大，表明这些测量在某种程度上是独立的，由不同的因素决定。
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