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Updated: Sep 11, 2025
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Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
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[Relationship between the geriatric nutritional risk index and cognitive function: a cross-sectional study based on
Long Wang1, Na Wang2, Weihua Li3
1Department of General Medicine, First Affiliated Hospital of Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
|August 17, 2025
Summary
The Geriatric Nutritional Risk Index (GNRI) is linked to better cognitive function in older adults, including processing speed and attention. This nutritional marker may help predict cognitive health outcomes in aging populations.
Area of Science:
- Geriatric Medicine
- Nutritional Science
- Cognitive Neuroscience
Context:
- Cognitive decline is a significant concern in aging populations.
- Nutritional status is increasingly recognized as a modifiable factor influencing cognitive health.
- The Geriatric Nutritional Risk Index (GNRI) is a validated tool for assessing nutritional status in older adults.
Purpose:
- To investigate the association between the Geriatric Nutritional Risk Index (GNRI) and various domains of cognitive function in adults aged 60 and above.
- To determine if GNRI can serve as a predictive indicator for cognitive performance.
Summary:
- A cross-sectional study analyzed data from 5,033 older adults (≥60 years) using NHANES databases (1999-2002 and 2011-2014).
- Participants were categorized into GNRI risk groups (low, medium-high, no risk). Cognitive function was assessed via CERAD-WL, AFT, and DSST.
- Multifactorial Logistic regression revealed that higher GNRI scores were significantly associated with better cognitive function, particularly processing speed (DSST), even after adjusting for covariates (OR=1.03, P=0.03 for 2011-2014; OR=1.02, P=0.02 for combined data).
Impact:
- Findings suggest GNRI is a valuable indicator for assessing cognitive function related to processing speed, sustained attention, and executive function in older adults.
- The study highlights the potential of nutritional assessment using GNRI for early identification and prediction of cognitive health status.
- This research contributes to understanding the interplay between nutrition and cognition in aging, informing potential interventions.
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