Scimago Lab
powered by Scopus
call: +1.631.470.9640
Mon-Fri 10 am - 2 pm EST


Medical Science Monitor Basic Research


eISSN: 1643-3750

Get your full text copy in PDF

Malnutrition in Community-Dwelling Elderly in Turkey: A Multicenter, Cross-Sectional Study

Ercan Gündüz, Fatih Eskin, Mehmet Gündüz, Recep Bentli, Yılmaz Zengin, Recep Dursun, Mustafa İçer, Hasan Mansur Durgun, Hüseyin Gürbüz, Mustafa Ekinci, Yusuf Yeşil, Cahfer Güloğlu

(Department of Emergency Medicine, Dicle University, Diyarbakır, Turkey)

Med Sci Monit 2015; 21:2750-2756

DOI: 10.12659/MSM.893894

BACKGROUND: This study aimed to investigate the prevalence of malnutrition and explore the somatic, psychological, functional, and social or lifestyle characteristics linked to malnutrition in elderly people at a hospital in Turkey.
MATERIAL AND METHODS: This study included 1030 patients older than 65 years of age who were seen at the internal medicine and geriatrics outpatient clinics of the study centers in Istanbul, Ankara, Duzce, Corum, Mardin, Malatya, and Diyarbakir provinces between January and December 2014. All patients underwent Mini Nutritional Assessment (MNA) and Geriatric Depression Scale (GDS) tests via one-on-one interview method. The demographic properties of the patients were also recorded during this interview.
RESULTS: Among 1030 patients included in this study, 196 (19%) had malnutrition and 300 (29.1%) had malnutrition risk. The malnutrition group and the other groups were significantly different with respect to mean GDS score, income status, educational status, the number of children, functional status (ADL, IADL), the number of patients with depression, and the number of comorbid disorders. According to the results of the logistic regression analysis, age (OR=95% CI: 1.007–1.056; p=0.012), BMI (OR=95% CI: 0.702–0.796; p<0.001), educational status (OR=95% CI: 0.359–0.897; p=0.015), comorbidity (OR=95% CI: 2.296–5.448; p<0.001), and depression score (OR=95% CI: 1.104–3.051; p=0.02) were independently associated with malnutrition.
CONCLUSIONS: Our study demonstrates that age, depression, BMI, comorbidity, and the educational status were independently associated with malnutrition in an elderly population.

This paper has been published under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.
I agree