Work

Potential causes of malnutrition in older adults in primary healthcare—A cross-sectional study

Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: To evaluate the prevalence of the Determinants of Malnutrition in Aged Persons (DoMAP) and identify determinants of malnutrition among older adults attending primary healthcare. DESIGN AND SETTING: Prospective, observational, monocentric study in primary healthcare. PARTICIPANTS: 500 older adults. MEASUREMENTS: Malnutrition was diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Potential causes of malnutrition were assessed by the attending physician using the DoMAP model with a 1:1 recruitment of malnourished and non-malnourished older persons. RESULTS: Malnourished individuals (mean age 81.7 ± 5.0 years; 59% women) exhibited a significantly higher prevalence of almost all DoMAP determinants compared to non-malnourished persons, particularly low intake (88 vs. 11%), high requirements (83 vs. 49%), poor appetite (73 vs. 9%), shopping difficulties (59 vs. 26%), inflammation (81 vs. 49%), gastrointestinal disease (17 vs. 2%), cancer (11 vs. 1%), depression (35 vs. 19%), dementia (21 vs. 6%), polypharmacy (60 vs. 38%), and hospitalization (27 vs. 4%). The mean total determinants count was significantly higher in malnourished participants (14.9 ± 5.0) than in non-malnourished ones (6.8 ± 4.4; p < 0.001). Regression analysis revealed low intake as the strongest determinant at Level1; poor appetite, forgetting to eat, shopping difficulties and inflammation at Level2; gastrointestinal disease, cancer and depression at Level3, and frailty and hospitalization at Level4. CONCLUSION: This study highlights the complex multifactorial nature of malnutrition in older adults attending primary healthcare, confirming the superior role of low intake and poor appetite among other determinants. The DoMAP model offers a structured framework for potential causative factors of malnutrition in older subjects.
Language: English
Subfield: Physiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,450
OpenAlex ID: W4416747142
FWCI: 2.194
Cites: 27
Cited by: 4
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