Department of Experimental Medicine-Medical Pathophysiology, Food Science and Endocrinology Section, Sapienza University, 00185 Rome, Italy.
Institute of mental Health, Division of psychiatry and Psychology, School of Medicine, Nottingham University, Nottingham NG7 2QL, UK.
Nutrients. 2020 Sep 18;12(9):2857. doi: 10.3390/nu12092857.
Malnutrition is common in older adults and is associated with functional impairment, reduced quality of life, and increased morbidity and mortality. The aim of this study was to explore the association between health (including depression), physical functioning, disability and cognitive decline, and risk of malnutrition. Participants were recruited from nursing homes in Italy and completed a detailed multidimensional geriatric evaluation. All the data analyses were completed using Stata Version 15.1. The study included 246 participants with an age range of 50 to 102 (80.4 ± 10.5). The sample was characterised by a high degree of cognitive and functional impairment, disability, and poor health and nutritional status (according to Mini Nutritional Assessment (MNA), 38.2% were at risk for malnutrition and 19.5% were malnourished). Using a stepwise linear regression model, age (B = -0.043, SE = 0.016, = 0.010), depression (B = -0.133, SE = 0.052, = 0.011), disability (B = 0.517, SE = 0.068, < 0.001), and physical performance (B = -0.191, SE = 0.095, = 0.045) remained significantly associated with the malnutrition risk in the final model (adjusted R-squared = 0.298). The logistic regression model incorporating age, depression, disability, and physical performance was found to have high discriminative accuracy (AUC = 0.747; 95%CI: 0.686 to 0.808) for predicting the risk of malnutrition. The results of the study confirm the need to assess nutritional status and to investigate the presence of risk factors associated with malnutrition in order to achieve effective prevention and plan a better intervention strategy.
老年人营养不良很常见,与功能障碍、生活质量下降以及发病率和死亡率增加有关。本研究旨在探讨健康(包括抑郁)、身体功能、残疾和认知能力下降与营养不良风险之间的关系。参与者是从意大利的养老院招募的,他们完成了详细的多维老年评估。所有数据分析均使用 Stata 版本 15.1 完成。该研究共纳入 246 名年龄在 50 至 102 岁(80.4 ± 10.5 岁)的参与者。该样本具有较高程度的认知和功能障碍、残疾以及较差的健康和营养状况(根据迷你营养评估(MNA),38.2%存在营养不良风险,19.5%存在营养不良)。使用逐步线性回归模型,年龄(B = -0.043,SE = 0.016, = 0.010)、抑郁(B = -0.133,SE = 0.052, = 0.011)、残疾(B = 0.517,SE = 0.068, < 0.001)和身体表现(B = -0.191,SE = 0.095, = 0.045)在最终模型中仍与营养不良风险显著相关(调整后的 R 平方 = 0.298)。包含年龄、抑郁、残疾和身体表现的逻辑回归模型被发现对预测营养不良风险具有较高的判别准确性(AUC = 0.747;95%CI:0.686 至 0.808)。该研究结果证实需要评估营养状况并调查与营养不良相关的危险因素,以实现有效预防和制定更好的干预策略。