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Predictors of Incident Malnutrition in Older Irish Adults from the Irish Longitudinal Study on Ageing Cohort-A MaNuEL study.
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences ( IF 5.1 ) Pub Date : 2020-01-20 , DOI: 10.1093/gerona/gly225
Laura A Bardon 1, 2 , Melanie Streicher 3 , Clare A Corish 2, 4 , Michelle Clarke 1, 2 , Lauren C Power 2, 4 , Rose Anne Kenny 5, 6, 7 , Deirdre M O'Connor 5, 6, 7 , Eamon Laird 5, 8 , Eibhlis M O'Connor 9, 10 , Marjolein Visser 11 , Dorothee Volkert 3 , Eileen R Gibney 1, 2 ,
Affiliation  

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.

中文翻译:

根据爱尔兰人口老龄化纵向研究的一项MaNuEL研究,预测爱尔兰老年人的营养不良事件。

老年人营养不良的风险增加,这与健康状况,生活质量和疾病后果恶化有关。这项研究使用爱尔兰纵向老龄化研究的子样本(n = 1,841)中的数据确定了发生营养不良的预测因素。如果参与者的年龄小于65岁,基线或随访时缺少体重指数数据,基线时缺少基线体重减轻数据或营养不良(体重指数<20 kg / m2或计划外体重减轻≥4.5 kg),则排除参与者。前一年)。以事件营养不良(体重指数<20 kg / m2和/或在后续随访中计算出的体重减轻> 10%)为因变量进行逻辑回归分析。将显示与营养不良相关的显着(p <.05)单变量关联的因素输入多变量模型。然后按性别将分析重复进行。2年营养不良发生率为10.7%。未婚/分居/离婚的状况(已婚但未丧夫),前一年的住院,步行100 m的困难或爬楼梯独立地预示了后续发生的营养不良。通过性别检查,前一年住院,随访期间下降,并且自我报告的爬楼梯困难预示了男性营养不良。接受社会支持和认知障碍可预测女性营养不良。营养不良的发展有一系列预测因素。可以使用简单的问题来评估这些问题,以识别弱势人群。前一年住院,行走100 m困难或爬楼梯独立地预示了后续事件中的营养不良。通过性别检查,前一年住院,随访期间下降,并且自我报告的爬楼梯困难预示了男性营养不良。接受社会支持和认知障碍可预测女性营养不良。营养不良的发展有一系列预测因素。可以使用简单的问题来评估这些问题,以识别弱势人群。前一年住院,行走100 m困难或爬楼梯独立地预示了后续事件中的营养不良。通过性别检查,前一年住院,随访期间下降,自我报告的爬楼梯困难预示着男性营养不良。接受社会支持和认知障碍可预测女性营养不良。营养不良的发展有一系列预测因素。可以使用简单的问题来评估这些问题,以识别弱势人群。接受社会支持和认知障碍可预测女性营养不良。营养不良的发展有一系列预测因素。可以使用简单的问题来评估这些问题,以识别弱势人群。接受社会支持和认知障碍可预测女性营养不良。营养不良的发展有一系列预测因素。可以使用简单的问题来评估这些问题,以识别弱势人群。
更新日期:2020-01-21
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