临床表现 临床表现
Sulakshna Aggarwal1, Priya Chatterjee2, Hitesh Pradhan2
1Centre for Brain Research, Bangalore, Karnataka, India.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
营养不良影响农村印度人的认知功能和大脑结构. 老年营养风险指数 (GNRI) 和中高臂周长 (MUAC) 是评估这些风险的关键指标.
科学领域:
- 神经科学是一个神经科学.
- 老年学是指老年学的学科.
- 营养科学 营养科学
背景情况:
- 营养不良与认知能力下降有关,但来自不同人群的证据有限.
- 这项研究调查了营养不良对印度南部农村认知和大脑形态学的影响.
研究的目的:
- 检查各种营养指数与认知表现之间的关联.
- 在一个老龄化的印度群体中探索营养状况和大脑形态之间的关系.
主要方法:
- 在CBR-SANSCOG研究中利用了3687名非痴呆成年人 (45岁以上) 的横截面数据.
- 通过GNRI,PNI,CONUT,BMI和MUAC评估营养不良;通过HMSE和COGNITO测试评估认知功能.
- 在一个子集 (n=1150) 中使用 3T MRI 分析大脑形态,与营养指数相关联.
主要成果:
- 营养不良风险的患病率因指数而异 (8.8%至19%).
- GNRI,BMI和MUAC显示了与认知表现和大脑ROI体积的积极关联.
- MUAC与BMI相比,与认知领域的联系更强;PNI和CONUT没有显著的关联.
结论:
- 老年营养风险指数 (GNRI) 可靠地预测认知表现和大脑形态.
- 中上臂周长 (MUAC) 是一种具有成本效益的指标,用于识别面临认知障碍风险的农村印度人.
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