Department of Nursing, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.
Nutrients. 2024 Feb 25;16(5):645. doi: 10.3390/nu16050645.
Older adults are vulnerable to malnutrition due to physical, psychological, and social factors. Malnutrition, a prevalent and modifiable issue in this population, is associated with an elevated risk of adverse clinical outcomes. The purpose of the study is to assess the nutritional status of older adult individuals admitted to a general hospital and examine its correlation with socio-health and demographic variables.
The study included 239 individuals aged 70 and above, employing a cross-sectional descriptive observational approach with a convenience sampling method. Sociodemographic information was gathered, and variables such as cognitive impairment, functional capacity, comorbidities, medication consumption, and nutritional status were evaluated. Statistical analysis involved descriptive calculations, bivariate analysis, and multivariate analysis, utilizing binary logistic regression.
Approximately half of the sample were at risk of malnutrition, with a more notable prevalence among women. Factors such as age (OR = 1.04), cognitive impairment (OR = 1.06), functional dependence (OR = 0.96), and comorbidities (OR = 1.08) were linked to an elevated risk of malnutrition. In our regression model, age, cognitive impairment, and drug consumption emerged as significant predictors of malnutrition risk.
Individuals aged 70 and above have a notably high prevalence of malnutrition risk, particularly among those experiencing functional dependence and cognitive impairment. In our sample, cognitive impairment in older adults, coupled with above-median drug consumption, emerges as the primary predictor for malnutrition risk.
老年人由于身体、心理和社会因素而易患营养不良。在这一人群中,营养不良是一个普遍存在且可改变的问题,与不良临床结局的风险增加有关。本研究旨在评估入住综合医院的老年个体的营养状况,并研究其与社会健康和人口统计学变量的相关性。
本研究纳入了 239 名年龄在 70 岁及以上的个体,采用横断面描述性观察研究方法和便利抽样法。收集了社会人口统计学信息,并评估了认知障碍、功能能力、合并症、药物使用和营养状况等变量。统计分析包括描述性计算、双变量分析和多变量分析,采用二元逻辑回归。
约一半的样本存在营养不良风险,女性的风险更高。年龄(OR=1.04)、认知障碍(OR=1.06)、功能依赖(OR=0.96)和合并症(OR=1.08)等因素与营养不良风险增加相关。在我们的回归模型中,年龄、认知障碍和药物使用是营养不良风险的显著预测因素。
70 岁及以上的个体存在明显高的营养不良风险,尤其是那些存在功能依赖和认知障碍的个体。在我们的样本中,老年人的认知障碍加上高于中位数的药物使用,是营养不良风险的主要预测因素。