1. Malnutrition in Community-Dwelling Elderly in Turkey: A Multicenter, Cross-Sectional Study
- Author
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Hasan Mansur Durgun, Mehmet Gunduz, Recep Dursun, Cahfer Güloğlu, Hüseyin Gürbüz, Recep Bentli, Fatih Eskin, Mustafa Ekinci, Yusuf Yesil, Ercan Gündüz, Mustafa İçer, Yılmaz Zengin, Hitit Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, and İç Hastalıkları
- Subjects
Male ,Gerontology ,Activities of daily living ,Turkey ,Cross-sectional study ,Frail Elderly ,Nutritional Status ,Risk Factors ,Clinical Research ,Activities of Daily Living ,medicine ,Humans ,Elderly people ,Life Style ,Depression (differential diagnoses) ,Aged ,Aged, 80 and over ,Nutrition assessment ,Depression ,business.industry ,Malnutrition ,General Medicine ,medicine.disease ,Cross-Sectional Studies ,Logistic Models ,Nutrition Assessment ,Multicenter study ,Female ,Independent Living ,business ,Independent living - Abstract
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/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
- Published
- 2015
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