Nicholas Joseph Bishop, Texas State University, San Marcos, Texas, USA, (512) 245-7051,
J Nutr Health Aging. 2018;22(6):645-654. doi: 10.1007/s12603-017-0986-0.
Our first objective was to estimate empirically-derived subgroups (latent profiles) of observed carbohydrate, protein, and fat intake density in a nationally representative sample of older U.S. adults. Our second objective was to determine whether membership in these groups was associated with levels of, and short term change in, physical mobility limitations.
Measures of macronutrient density were taken from the 2013 Health Care and Nutrition Study, an off-year supplement to the Health and Retirement Study, which provided indicators of physical mobility limitations and sociodemographic and health-related covariates.
3,914 community-dwelling adults age 65 years and older.
Percent of daily calories from carbohydrate, protein, and fat were calculated based on responses to a modified Harvard food frequency questionnaire. Latent profile analysis was used to describe unobserved heterogeneity in measures of carbohydrate, protein, and fat density. Mobility limitation counts were based on responses to 11 items indicating physical limitations. Poisson regression models with autoregressive controls were used to identify associations between macronutrient density profile membership and mobility limitations. Sociodemographic and health-related covariates were included in all Poisson regression models.
Four latent subgroups of macronutrient density were identified: "High Carbohydrate", "Moderate with Fat", "Moderate", and "Low Carbohydrate/High Fat". Older adults with the lowest percentage of daily calories coming from carbohydrate and the greatest percentage coming from fat ("Low Carbohydrate/High Fat") were found to have greater reported mobility limitations in 2014 than those identified as having moderate macronutrient density, and more rapid two-year increases in mobility limitations than those identified as "Moderate with Fat" or "Moderate".
Older adults identified as having the lowest carbohydrate and highest fat energy density were more likely to report a greater number of mobility limitations and experience greater increases in these limitations than those identified as having moderate macronutrient density. These results suggest that the interrelation of macronutrients must be considered by those seeking to reduce functional limitations among older adults through dietary interventions.
我们的首要目标是在一个具有全国代表性的美国老年人群体样本中,根据经验确定观察到的碳水化合物、蛋白质和脂肪摄入密度的亚组(潜在分布)。我们的第二个目标是确定这些组的成员是否与身体活动能力受限的水平和短期变化相关。
宏量营养素密度的测量值来自 2013 年医疗保健和营养研究,这是健康与退休研究的一个非年度补充,提供了身体活动能力受限的指标以及社会人口统计学和与健康相关的协变量。
3914 名 65 岁及以上的社区居住成年人。
根据改良哈佛食物频率问卷的回答,计算了每日卡路里中碳水化合物、蛋白质和脂肪的百分比。潜在剖面分析用于描述碳水化合物、蛋白质和脂肪密度测量值中未观察到的异质性。活动能力受限计数基于 11 项表明身体受限的项目的回答。具有自回归控制的泊松回归模型用于确定宏量营养素密度分布成员与活动能力受限之间的关联。所有泊松回归模型都包含社会人口统计学和与健康相关的协变量。
确定了四种宏量营养素密度的潜在亚组:“高碳水化合物”、“中等脂肪”、“中等”和“低碳水化合物/高脂肪”。与被确定为具有中等宏量营养素密度的人相比,每天卡路里中碳水化合物含量最低、脂肪含量最高的老年人(“低碳水化合物/高脂肪”)在 2014 年报告的活动能力受限更大,并且在两年内活动能力受限的增加速度比被确定为“中等脂肪”或“中等”的人更快。
与被确定为具有中等宏量营养素密度的人相比,碳水化合物含量最低、脂肪能量密度最高的老年人更有可能报告更多的活动能力受限,并经历更大的这些限制的增加。这些结果表明,在通过饮食干预来减少老年人功能受限的过程中,必须考虑宏量营养素之间的相互关系。