Objectives: Obesity is a serious public health issue. Investigating the eating behavior of individuals plays an important role in preventing obesity. Therefore, the purpose of this study is to adapt the long and first version of the ‘Three-Factor Eating Questionnaire’ (TFEQ), a scale that examines the eating behavior of individuals, to Turkish culture and to carry out its validity and reliability study. Design: The data were collected using data collection forms, and anthropometric measurements of the individuals were made by the researchers. The data collection form included several parameters: sociodemographic characteristics, the TFEQ scale -whose validity and reliability analysis is conducted here-, and the Dutch Eating Behavior Questionnaire (DEBQ) which was used as a parallel form. Setting: The Obesity Clinic at Ege University in Izmir. Participants: The study group consisted of obese adult individuals (n=257). Results: It was seen that constructing the questionnaire with 27 items and four sub-dimensions provides better information about Turkish obese individuals. Factor loadings ranged from 0.421 to 0.846, and item total score correlations ranged from 0.214 to 0.558. Cronbach’s alpha coefficient was found to be 0.639 for the whole scale. A positive, strong, and statistically significant correlation was detected between TFEQ and DEBQ, which was used as a parallel form (r = 0.519, p <0.001). Conclusion: In Turkey, the long version of the TFEQ scale was found valid and reliable for obese adult individuals. TFEQ can be used by clinicians or researchers to study the eating behavior of obese individuals.

The aim of this study was to compare basal metabolic rate (BMR) calculated with various equations and BMR measured using an indirect calorimeter. The study was carried out on second-year university female students (n = 48) with a body mass index of less than 30. Indirect calorimetry with a ventilated hood was accepted as the gold standard and 11 predictive equations were used. Among the equations, Mifflin-St Jeor had the highest correlation (r = 0.435), but Bernstein (66.7%) and Owen (56.3%) were the most accurate equations. According to Bland-Altman analysis, the lowest bias and the highest explanation were obtained with the Bernstein and Owen equations. More comprehensive studies are needed in different groups to develop new equations with higher accuracy.

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BACKGROUND: Healthcare workers are susceptible to obesity, anxiety and depression. OBJECTIVE: To determine the prevalence and association of obesity, anxiety and depression symptoms in individuals working in a hospital. METHODS: In this cross-sectional study all of the employees of a hospital were invited to participate (n = 150). Anxiety (via Beck Anxiety Scale) and depression symptoms (via Beck Depression Scale) and obesity were dependent and independent variables. Obesity was determined both with body mass index (BMI) and abdominal obesity (Waist circumference-WC). Data were collected with face-to-face interviews and anthropometric measurements were done. Data were analyzed using SPSS version 25.0 with student t-test, chi-square and correlation tests. Significance was set at a p-value <  0.05. RESULTS: Among the participants who agreed to participate (n = 131, 64.1% females), 35.1% were obese and 50.4% were abdominally obese. The 35.9% had moderate-severe anxiety symptoms, 19.1% had moderate-severe depression symptoms. Both BMI and WC had positive, moderate and significant correlation with anxiety and depression scores. After adjusting for socio-demographic variables obesity (both with BMI and WC) was an independent factor for anxiety and depression symptom presence, whereas after adjusted for these variables anxiety and depression symptom presence was an independent factor for obesity and abdominal obesity (p = 0.001 for all). CONCLUSIONS: There is a correlation between anxiety, depression and obesity. In addition to nutrition interventions in combating obesity, services that will improve mental health should be provided together as teamwork.