ArticleNutrients2024
Evaluating the Diagnosis of Malnutrition Based on Global Leadership Initiative on Malnutrition (GLIM) Criteria in Community-Dwelling Older Adults (Singapore Longitudinal Aging Study).
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Conceptual Framework for Managing Oral Intake in Head and Neck Cancer Patients Undergoing Chemoradiotherapy.Nutrients · 2026Review
- The Role of Caregivers in Preventing and Managing Malnutrition Among Older Adults: A Narrative Review.Nutrients · 2026Review
- Prevalence and Risk Factors of Sarcopenia in Community-Dwelling Older Adults: A Cross-Sectional Study With Nutritional Assessment.Inquiry : a journal of medical care organization, provision and financingArticle
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5 authors.
Funding
Abstract
backgroundA minority of studies using the GLIM criteria for malnutrition diagnosis have performed formal empirical validation.
objectivesTo evaluate the concurrent and predictive validity of GLIM criteria with and without prior screening among community-dwelling older adults in Singapore.
methodIn the Singapore Longitudinal Aging Study (SLAS-2,
resultsGLIM malnutrition with and without MNA-SF or ENIGMA screening showed significant associations with known clinical correlates; single-step GLIM malnutrition: sensitivity = 80%, specificity = 83%; two-step MNA-SF-GLIM malnutrition: sensitivity = 80%, specificity = 85%; two-step ENIGMA-GLIM malnutrition: sensitivity = 74%, specificity = 88%; positive predictive values of around 20% and negative predictive values above 98%. Cohen's kappa values of agreement were uniformly low (0.26 to 0.32). All showed significant associations with about 50% increased odds of impaired QoL and 10-year mortality, adjusted for age, sex, ethnicity, education levels, and housing type, with the ENIGMA-GLIM malnutrition showing the highest risk estimates. Compared to MNA-FF malnutrition prevalence of 4.1%, GLIM-based malnutrition increased prevalence (14.6% to 19.7%) estimates.
conclusionsThe GLIM criteria showed good construct and criterion validity. It increased the number of individuals diagnosed with malnutrition. The agreement between diagnoses of malnutrition was low. Diagnostic and prognostic accuracy vary with the screening instrument used. Early identification of malnutrition using appropriate tools can provide opportunities to delay or prevent the risk of important adverse outcomes such as impaired QoL and mortality.
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