Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland 1023, New Zealand.
Department of Statistics, Faculty of Science, University of Auckland, Auckland 1010, New Zealand.
Nutrients. 2023 Oct 18;15(20):4416. doi: 10.3390/nu15204416.
This study aimed to identify sociodemographic and health indicators of diet quality in pre-frail community-dwelling older adults. Pre-frail older adults are those at risk of progression to clinical manifestations of frailty and are targets for preventative intervention. We previously reported that pre-frail older adults have reasonably good overall diet quality. However, further analyses found a low intake of energy, protein and several micronutrients.
We collected detailed dietary intake from pre-frail (FRAIL scale 1-2) older adults using NZ Intake24, an online version of 24 h multiple pass dietary recall. Diet quality was ascertained with the Diet Quality Index-International (DQI-I). We used regression generalized linear models to determine predictors of diet quality as well as classification and regression tree (CART) analysis to examine the complex relationships between predictors and identified profiles of sub-groups of older adults that predict diet quality.
The median age in this sample ( = 468) was 80.0 years (77.0-84.0). Living with others, a high deprivation index and a higher BMI were independent predictors of poorer diet quality. With CART analysis, we found that those with a BMI > 29 kg/m, living with others and younger than 80 years were likely to have a lower diet quality.
We found that BMI, living arrangement and socioeconomic status were independent predictors of diet quality in pre-frail older adults, with BMI being the most important variable in this sample when the interaction of these variables was considered. Future research is needed to determine the similarities and/or differences in the profile of subgroups of older adults with poorer diet quality.
本研究旨在确定衰弱前期社区居住的老年人饮食质量的社会人口学和健康指标。衰弱前期的老年人有进展为衰弱临床症状的风险,是预防干预的目标。我们之前报告过,衰弱前期的老年人总体饮食质量相当好。然而,进一步的分析发现,他们的能量、蛋白质和几种微量营养素摄入不足。
我们使用 NZ Intake24 从衰弱前期(FRAIL 量表 1-2)老年人那里收集详细的饮食摄入量,这是 24 小时多次通过饮食回忆的在线版本。饮食质量通过饮食质量指数-国际(DQI-I)来确定。我们使用回归广义线性模型来确定饮食质量的预测因素,以及分类和回归树(CART)分析来检查预测因素之间的复杂关系,并确定预测饮食质量的老年人亚组的特征。
该样本的中位数年龄为 80.0 岁(77.0-84.0)。与他人同住、较高的贫困指数和较高的 BMI 是饮食质量较差的独立预测因素。通过 CART 分析,我们发现 BMI 大于 29 kg/m、与他人同住和年龄小于 80 岁的人饮食质量可能较低。
我们发现 BMI、居住安排和社会经济地位是衰弱前期老年人饮食质量的独立预测因素,当考虑这些变量的相互作用时,BMI 是该样本中最重要的变量。需要进一步研究来确定饮食质量较差的老年人亚组的特征的相似性和/或差异。