Author/Authors :
Ahmadi، Seyed Mehdi نويسنده Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran , , Mohammadi، Mohammad Reza نويسنده Psychiatry Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran , , Mostafavi، Seyed-Ali نويسنده Psychiatry and psychology Research Center- Department of psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences. Tehran. Iran , , Keshavarzi، Sareh نويسنده , , kooshesh، Seyed-Mohammad-Ali نويسنده School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran , , Joulaei، Hassan نويسنده Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, IRAN , , Sarikhani، Yaser نويسنده Health Policy Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran , , Peimani، Payam نويسنده Health Policy Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran , , Heydari، Seyed Taghi نويسنده Department of Biostatistics, Jahrom University of Medical Sciences, Jahrom, Iran; , , Bagheri-Lankarani، Kamran نويسنده ,
Abstract :
Objective: Malnutrition and depression are highly prevalent in the elderly and can lead to unfavorable outcomes. The aims of the current study were to determine the association between malnutrition and depression and also to find any correlation of depression with some anthropometric indices in free living elderly.
Method: In this cross-sectional study, 337 elderly subjects (193 females) were selected using cluster sampling. Depressive symptoms and nutritional status were determined by the Geriatric Depression Scale (GDS) and the Mini-Nutritional Assessment (MNA) scores questionnaires, respectively. Anthropometric indices were measured all in standard situations. Chi squared test and t-test were used when necessary. Pearson correlation coefficients were calculated for linear relations between variables.
Results: Of all the total subjects, 43.62 %were depressed; and of whom, 48.01% were malnourished or at risk of malnutrition. GDS had a significant negative dependence with the MNA for the entire sample (r=-0.58, p < 0.0001). However, there was no significant correlation between age and GDS or MNA scores. Moreover, the mean GDS scores differed significantly between men and women (p < 0.05), and women were more depressed than men (27.9% vs. 15%, respectively). The elderly subjects living in urban areas were more depressed than those living in rural areas (39.46% vs. 3.85% respectively).
Conclusion: The results of the present study revealed a high prevalence of depression and malnutrition among old subjects. Moreover, depression was associated with worsening of nutritional status. The mechanism of this association needs further study
