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Published on: September 20, 2018
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Clinical Manifestations
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
Summary
Malnutrition impacts cognitive function and brain structure in rural Indians. The Geriatric Nutritional Risk Index (GNRI) and mid-upper arm circumference (MUAC) are key indicators for assessing these risks.
Area of Science:
- Neuroscience
- Gerontology
- Nutritional Science
Background:
- Malnutrition is linked to cognitive decline, but evidence from diverse populations is limited.
- This study investigates malnutrition's impact on cognition and brain morphology in rural Southern India.
Purpose of the Study:
- To examine the association between various nutritional indices and cognitive performance.
- To explore the relationship between nutritional status and brain morphology in an aging Indian cohort.
Main Methods:
- Utilized cross-sectional data from 3687 non-demented adults (45+ years) in the CBR-SANSCOG study.
- Assessed malnutrition using GNRI, PNI, CONUT, BMI, and MUAC; cognitive function via HMSE and COGNITO tests.
- Analyzed brain morphology in a subset (n=1150) using 3T MRI, correlating with nutritional indices.
Main Results:
- Prevalence of malnutrition risk varied by index (8.8% to 19%).
- GNRI, BMI, and MUAC showed positive associations with cognitive performance and brain ROI volumes.
- MUAC demonstrated a stronger link to cognitive domains than BMI; PNI and CONUT showed no significant associations.
Conclusions:
- The Geriatric Nutritional Risk Index (GNRI) reliably predicts cognitive performance and brain morphology.
- Mid-upper arm circumference (MUAC) is a cost-effective indicator for identifying rural Indians at risk of cognitive impairment.
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