Ulkuhan Iner Koksal1, Zeynep Erturk1, Ali Riza Koksal2, Ekmel Burak Ozsenel3, Ozlem Harmankaya Kaptanogullari1. 1. Department of Internal Medicine, Sadi Konuk Training and Research Hospital, İstanbul, Turkey. 2. Department of Gastroenterology, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey. 3. Department of Internal Medicine, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey.
Abstract
OBJECTIVE: It is known that depression is common in obese individuals. Besides the effects of obesity, pathogenic effects of increase in visceral and abdominal fat mass on depression are also being investigated. Our study aimed to show the relationship between visceral fat percentage detected with practical methods and the presence and severity of depression. MATERIALS AND METHODS: Our study included 104 obese patients and 50 healthy controls. In all individuals, the severity of depression was assessed using the Beck Depression Inventory (BDI). Anthropometric measurements, visceral fat percentage, and body fat percentage were measured using the bioelectric impedance method. RESULTS: The mean age was 51.5±12.3 years, and 65 participants (62.5%) were women. BDI scores were statistically higher in the obese group than in the control group (23.1±10.9 and 12.1±9.4, p<0.001). In the obese group, 63.5% of patients were depressed, and in the control group, this was 24%. Women were more depressed in the obese group, but there was no significant difference between men and women in the control group. Body fat percentage was the highest correlating parameter with depression severity. Positive correlation was found between depression severity and body mass index, waist circumference, hip circumference, and visceral fat percentage. In the logistic regression analysis, obesity was found as an independent risk factor for depression (OR: 4.84, 2.1-10.7, p<0.001). CONCLUSION: According to the results of our study, obesity is a significant and independent risk factor for depression. Obesity type and body composition are important factors that determine the severity of depression.
OBJECTIVE: It is known that depression is common in obese individuals. Besides the effects of obesity, pathogenic effects of increase in visceral and abdominal fat mass on depression are also being investigated. Our study aimed to show the relationship between visceral fat percentage detected with practical methods and the presence and severity of depression. MATERIALS AND METHODS: Our study included 104 obesepatients and 50 healthy controls. In all individuals, the severity of depression was assessed using the Beck Depression Inventory (BDI). Anthropometric measurements, visceral fat percentage, and body fat percentage were measured using the bioelectric impedance method. RESULTS: The mean age was 51.5±12.3 years, and 65 participants (62.5%) were women. BDI scores were statistically higher in the obese group than in the control group (23.1±10.9 and 12.1±9.4, p<0.001). In the obese group, 63.5% of patients were depressed, and in the control group, this was 24%. Women were more depressed in the obese group, but there was no significant difference between men and women in the control group. Body fat percentage was the highest correlating parameter with depression severity. Positive correlation was found between depression severity and body mass index, waist circumference, hip circumference, and visceral fat percentage. In the logistic regression analysis, obesity was found as an independent risk factor for depression (OR: 4.84, 2.1-10.7, p<0.001). CONCLUSION: According to the results of our study, obesity is a significant and independent risk factor for depression. Obesity type and body composition are important factors that determine the severity of depression.
Entities:
Keywords:
Obesity; bioelectric impedance; body composition; depression
Authors: Joanna K Soczynska; Sidney H Kennedy; Hanna O Woldeyohannes; Samantha S Liauw; Mohammad Alsuwaidan; Christina Y Yim; Roger S McIntyre Journal: Neuromolecular Med Date: 2010-12-17 Impact factor: 3.843
Authors: Alanna A Morris; Yusuf Ahmed; Neli Stoyanova; William Craig Hooper; Christine De Staerke; Gary Gibbons; Arshed Quyyumi; Viola Vaccarino Journal: Psychosom Med Date: 2012-05-11 Impact factor: 4.312
Authors: Małgorzata Chlabicz; Marlena Dubatówka; Jacek Jamiołkowski; Paweł Sowa; Magda Łapińska; Andrzej Raczkowski; Wojciech Łaguna; Anna M Moniuszko-Malinowska; Napoleon Waszkiewicz; Irina Kowalska; Karol A Kamiński Journal: Sci Rep Date: 2021-11-08 Impact factor: 4.379