首页|基于营养状况指标构建简易模型对北京地区老年体检人群认知功能损害的预测价值

基于营养状况指标构建简易模型对北京地区老年体检人群认知功能损害的预测价值

Predictive value of a simple model based on nutritional status indicators for cognitive impairment in elderly people undergoing physical examination in Beijing area

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目的 营养状况与认知功能的关系是研究热点,本研究建立基于营养状况指标的简易模型并分析对北京地区老年体检人群认知功能损害(CI)的预测价值.方法 选取2022年2月-2023年4月首都医科大学附属北京康复医院劳模健康管理中心的670名老年体检者,采用蒙特利尔认知评估量表(MoCA)分为认知障碍组(MoCA<26分,CI组)和无认知障碍组(n-CI组),比较2组一般资料、微型营养评估量表(MNA)和血清白蛋白(ALB)指标,分析营养状况指标与受检者CI发生的关系.结果 670名受检者CI发生率为9.10%(61/670),MoCA 评分为(22.78±3.15)分.CI 组受教育程度、MNA 评分[(18.47±3.57)分 vs.(23.92±3.95)分]、血清ALB[(30.25±3.86).g/Lvs.(38.70±4.26)g/L]均低于 n-CI 组(P<0.05).随着 MNA 评分、血清 ALB 水平逐渐下降,CI发生率明显升高(P<0.05).MoCA评分与MNA评分、血清ALB均呈正相关关系(P<0.05).较低的MNA评分、血清ALB均为老年体检人群CI发生的独立危险因素(P<0.05).基于MNA评分、血清ALB构建简易模型筛查CI发生的AUC为0.891,均高于单独预测(P<0.05).结论 营养状况与老年CI密切相关,基于MNA评分、血清ALB构建简易模型对北京地区老年体检人群CI发生的筛查预测价值显著.
Objective The relationship between nutritional status and cognitive function is a research focus.This study established a simple model based on nutritional status indicators and analyzed the predictive value of cognitive function impairment in elderly people in Beijing.Methods From February 2022 to April 2023,670 elderly physical examination subjects in the Health Management Center of Model Workers,Beijing Rehabilitation Hospital Affiliated to Capital Medical University were selected and divided into cognitive impairment(CI)group(MoCA<26)and no cognitive impairment(n-CI)group by using the Montreal cognitive assessment(MoCA).The two groups were compared with the general da-ta,the miniature nutrition assessment scale(MNA)and serum albumin(ALB)indexes,and the relationship between the nutritional status indexes and CI occurrence was analyzed.Results The incidence of CI in 670 subjects was 9.10%(61/670)and MoCA score was(22.78±3.15)points.Education level,MNA score[(18.47±3.57)points vs.(23.92±3.95)points]and serum ALB[(30.25±3.86)g/L vs.(38.70±4.26)g/L]in CI group were lower than those in n-CI group(P<0.05).With the decrease of MNA score and serum ALB level,the incidence of CI was signifi-cantly increased(P<0.05).MoCA score was significantly positively correlated with MNA score and serum ALB(P<0.05).Lower MNA score and serum ALB were independent risk factors for CI in the elderly population(P<0.05).The AUC of the simple model based on MNA score and serum ALB was 0.891,which was higher than that predicted by alone(P<0.05).Conclusion Nutritional status is closely related to CI in the elderly.The simple model built based on MNA score and serum ALB has significant value in predicting CI occurrence in the elderly population in Beijing area.

Physical examinationOld ageCognitive functionNutritional statusSimple prediction model

李海静、朱峰、刘慧娟、关锐

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首都医科大学附属北京康复医院劳模健康管理中心,北京 100144

体检 老年 认知功能 营养状况 简易预测模型

北京首都卫生发展科研专项项目

2022-4-9085

2024

中华全科医学
中华预防医学会,安徽省全科医学会

中华全科医学

CSTPCD
影响因子:1.688
ISSN:1674-4152
年,卷(期):2024.22(1)
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