老年人认知功能与营养状况之间的关系:贝鲁特-黎巴嫩三家机构的横断面研究

Mohamad El Zoghbi , Christa Boulos , Al Hajje Amal , Nadine Saleh , Sanaa Awada , Samar Rachidi , Wafaa Bawab , Pascale Salameh
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引用次数: 30

摘要

在世界范围和黎巴嫩,老年痴呆的比例正在上升。营养状况的改善可以改善老年人的认知能力。这项工作的目的是调查存在的营养状况和认知功能的老年人生活在黎巴嫩机构。材料和方法这是一项在贝鲁特三家长期居住的老年人机构进行的横断面研究。符合纳入标准的被试填写了一份由营养状况量表(Mini nutritional Assessment: MNA)、认知功能量表(Mini Mental State Evaluation: MMSE)和其他部分(人口统计学、健康状况自我评估、吸烟和饮酒、身体依赖、生活质量、虚弱、抑郁、社会孤立和孤独)组成的问卷。结果111名老年人中,男性55人,女性56人,营养不良14人(12.6%),营养不良危险54人(48.7%),营养充足43人(38.7%)。大多数营养不良老年人(71.43%)表现为认知功能恶化(MMSE<24)。营养不良老年人MMSE平均评分(20.21±4.61)明显低于营养危险老年人和营养状况正常老年人(22.61±4.25和24.37±3.63)(P=0.008)。MMSE评分与MNA评分呈显著正相关(r=0.208, P=0.028)。多因素分析显示,老年人的认知状态仅与营养状况(ORa=3.03)和受教育程度(ORa=1.72)较低有关。结论营养状况与认知功能相关。监测老年人的状况有助于预防营养不良和可能的认知障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between cognitive function and nutritional status in elderly: A cross-sectional study in three institutions of Beirut—Lebanon

Introduction

The percentage of demented elderly is increasing worldwide and in Lebanon. Improvement in nutritional status would improve cognition in elderly. The purpose of this work is to investigate the presence of an association between nutritional status and cognitive function in elderly living in Lebanese institutions.

Materials and methods

This is a cross-sectional study performed in three long-stay elderly institutions in Beirut. Subjects who met the inclusion criteria filled out a questionnaire consisting of nutritional status scale (Mini Nutritional Assessment: MNA), cognitive function (Mini Mental State Evaluation: MMSE) and other parts (demographic, self-assessment of the state health, smoking and alcohol, physical dependence, quality of life, frailty, depression, social isolation and loneliness).

Results

Among 111 elderly (55 men and 56 women), 14(12.6%) elderly are malnourished, 54(48.7%) are at risk of malnutrition and 43(38.7%) had adequate nutrition. The majority of malnourished elderly (71.43%) showed a cognitive function deterioration (MMSE<24). The MMSE mean scores of malnourished elderly (20.21±4.61) was significantly lower (P=0.008) than elderly at risk of malnutrition and elderly with normal nutritional status (respectively 22.61±4.25 and 24.37±3.63). There was a significant positive correlation between the MMSE score and the MNA score (r=0.208, P=0.028). Multivariate analysis showed that cognitive state of elderly was only explained by lower nutrition status (ORa=3.03) and education (ORa=1.72).

Conclusion

Nutritional status is associated with cognitive function. Monitoring the status of elderly can help in preventing malnutrition and possibly their cognitive impairment.

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