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爱尔兰老龄化纵向研究队列中的老年人新发营养不良的预测因素——一项 MaNuEL 研究。

Predictors of Incident Malnutrition in Older Irish Adults from the Irish Longitudinal Study on Ageing Cohort-A MaNuEL study.

机构信息

UCD School of Agriculture and Food Science, University College Dublin, Ireland.

UCD Institute of Food and Health, University College Dublin, Ireland.

出版信息

J Gerontol A Biol Sci Med Sci. 2020 Jan 20;75(2):249-256. doi: 10.1093/gerona/gly225.

DOI:10.1093/gerona/gly225
PMID:30256900
Abstract

Older adults are at increased risk of malnutrition, which is associated with poorer health, quality of life, and worse disease outcomes. This study identifies predictors of incident malnutrition using data from a subsample (n = 1,841) of The Irish Longitudinal Study on Ageing. Participants were excluded if they were less than 65 years, missing body mass index data at baseline or follow-up, missing baseline weight loss data or malnourished at baseline (body mass index <20 kg/m2 or unplanned weight loss ≥4.5 kg in the previous year). Logistic regression analysis was performed with incident malnutrition (body mass index <20 kg/m2 and/or calculated weight loss >10% over follow-up) as the dependent variable. Factors showing significant (p < .05) univariate associations with incident malnutrition were entered into a multivariate model. The analysis was then repeated, stratified by sex. The 2-year incidence of malnutrition was 10.7%. Unmarried/separated/divorced status (vs married but not widowed), hospitalization in the previous year, difficulties walking 100 m, or climbing stairs independently predicted incident malnutrition at follow-up. When examined by sex, hospitalization in the previous year, falls during follow-up, and self-reported difficulties climbing stairs predicted malnutrition in males. Receiving social support and cognitive impairment predicted malnutrition in females. The development of malnutrition has a range of predictors. These can be assessed using simple questions to identify vulnerable persons.

摘要

老年人营养不良的风险增加,与健康状况较差、生活质量较低以及疾病预后较差有关。本研究使用爱尔兰老龄化纵向研究的子样本(n=1841)的数据来确定营养不良的预测因素。如果参与者年龄小于 65 岁、基线或随访时缺少体重指数数据、基线时缺少体重减轻数据或营养不良(体重指数<20kg/m2或前一年无计划体重减轻≥4.5kg),则将其排除在外。采用逻辑回归分析,将新发营养不良(体重指数<20kg/m2和/或随访期间体重减轻>10%)作为因变量。将与新发营养不良有显著(p<.05)单变量关联的因素纳入多变量模型。然后按性别分层重复分析。营养不良的 2 年发生率为 10.7%。与已婚但未丧偶相比,未婚/分居/离婚状态、前一年住院、独立行走 100 米或爬楼梯有困难,这些因素预示着随访时会发生营养不良。按性别检查时,前一年住院、随访期间跌倒以及自我报告爬楼梯困难预测男性发生营养不良。获得社会支持和认知障碍预测女性发生营养不良。营养不良的发展有一系列的预测因素。可以使用简单的问题来评估这些因素,以确定易受伤害的人。

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