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营养、身体成分和运动与绝经前女性骨矿物质密度的变化有关。

Nutrients, body composition and exercise are related to change in bone mineral density in premenopausal women.

作者信息

Houtkooper L B, Ritenbaugh C, Aickin M, Lohman T G, Going S B, Weber J L, Greaves K A, Boyden T W, Pamenter R W, Hall M C

机构信息

Department of Nutritional Sciences, University of Arizona, Tucson 85721, USA.

出版信息

J Nutr. 1995 May;125(5):1229-37. doi: 10.1093/jn/125.5.1229.

Abstract

This study determined relationships among total energy intake, nutrient intake, body composition, exercise group status, and annual rates of change (slopes) in bone mineral density in 66 Caucasian premenopausal women (mean age, 34.4 +/- 2.7) taking calcium supplements. Body composition components measured by dual-energy X-ray absorptiometry included fat mass, soft tissue lean mass, and bone mineral density (g/cm2) of total body, spine (lumbar vertebrae 2-4), and three femur sites measured at baseline, 5, 12, and 18 mo. Nutrients were not significant variables in regression models predicting bone mineral density slopes (rates of change) at any femur site. The only significant variable in models predicting Ward's triangle bone mineral density slope was the initial fat mass and, for trochanter, exercise. Significant variables (P < 0.05) in models predicting total body bone mineral density slope included the initial fat mass and fat mass slope plus either vitamin A, carotene, fiber, magnesium, or phosphorus (R2 from 0.31 to 0.25) and fat mass slope plus sodium (R2 = 0.24). The significant variable in the model predicting L2-4 slope was energy intake (R2 = 0.17, P < 0.05). We conclude that nutrient intake, exercise, and body composition are related to bone mineral density rate of change and that relations among these variables vary by bone site.

摘要

本研究确定了66名服用钙补充剂的白种人绝经前女性(平均年龄34.4±2.7岁)的总能量摄入、营养素摄入、身体成分、运动组状态与骨矿物质密度年变化率(斜率)之间的关系。通过双能X线吸收法测量的身体成分包括脂肪量、软组织瘦体重以及全身、脊柱(第2 - 4腰椎)和三个股骨部位在基线、5个月、12个月和18个月时的骨矿物质密度(g/cm²)。在预测任何股骨部位骨矿物质密度斜率(变化率)的回归模型中,营养素不是显著变量。预测沃德三角骨矿物质密度斜率的模型中,唯一的显著变量是初始脂肪量,而对于转子部位,运动是显著变量。预测全身骨矿物质密度斜率的模型中的显著变量(P < 0.05)包括初始脂肪量和脂肪量斜率加上维生素A、胡萝卜素、纤维、镁或磷(R²从0.31到0.25)以及脂肪量斜率加上钠(R² = 0.24)。预测L2 - 4斜率的模型中的显著变量是能量摄入(R² = 0.17,P < 0.05)。我们得出结论,营养素摄入、运动和身体成分与骨矿物质密度变化率相关,并且这些变量之间的关系因骨部位而异。

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