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印度农村地区的营养不良与较差的认知功能和大脑结构有关. 老年营养风险指数 (GNRI) 和中高臂周长 (MUAC) 是认知健康的关键指标.

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科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 公共卫生 公共卫生

背景情况:

  • 营养不良与认知能力下降有关,但对非西方农村人口的研究有限.
  • 了解不同的人口结构中的这些关联对于全球健康倡议至关重要.

研究的目的:

  • 在南印度农村群体中调查营养不良,认知表现和大脑形态之间的关系.
  • 评估各种营养指数在识别有风险的个体中的有效性.

主要方法:

  • 从CBR-SANSCOG研究中对3687名非痴呆成年人 (45岁以上) 的横截面分析.
  • 营养状况通过老年营养风险指数 (GNRI),预后营养指数 (PNI),控制营养状况 (CONUT) 评分,体重指数 (BMI) 和中上臂周长 (MUAC) 来评估.
  • 认知功能使用印度语精神状态检查 (HMSE) 和COGNITO测试进行评估;脑形态通过MRI在子集 (n=1150) 中进行分析.

主要成果:

  • 根据不同的指数,8.8%至19%的参与者面临营养不良的风险.
  • GNRI显示出与标准综合指数 (SCI) 最好的一致性.
  • 在GNRI,BMI,MUAC,认知性能和大脑形态之间发现了积极的关联. MUAC显示与认知领域的联系比BMI更强.

结论:

  • 老年营养风险指数 (GNRI) 可靠地预测认知表现和大脑结构.
  • 中上臂周长 (MUAC) 是一种简单,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.