Background: The Eating Disorder Examination Questionnaire (EDE-Q) is a frequently used scale to evaluate eating behaviors and attitudes. In recent years, its use has increased due to the fact that the use of short forms is more practical. The aim of this study was to validate the short Turkish form of the Eating Disorder Examination Questionnaire (EDE-Q) including 13 items.Methods: The study included 924 adults at a mean age of 30.3 ± 10.93 years. EDEQ-13 was translated and adapted to Turkish according to the Beaton Guidelines. The Eating Attitudes Test-26 (EAT-26), the Satisfaction with Life Scale (SWLS), and the Body Appreciation Scale (BAS) were used to analyze their relationships to EDE-Q-13.Results: In this study, the rate of the total variance explained by the factors of EDE-Q-13 according to the Explanatory Factor Analysis (EFA) results of the scale was 83.54%. The Cronbach's alpha value of the scale was 0.89, and the Cronbach's alpha values of the 5 subscales were calculated in the range of 0.75–0.94. The criterion validity analysis showed an acceptable correlation between EDE-Q-13 and EAT-26, SWLS, and BAS. The confirmatory factor analysis (CFA) revealed that the model had fit values that were acceptable or good.Conclusion: Both EFA and CFA results showed that it is appropriate to use the Turkish EDE-Q-13. EDE-Q-13 was significantly correlated with eating disturbances, body appreciation, and life satisfaction. In conclusion, the Turkish version of EDE-Q-13 possesses high levels of validity and reliability.

Purpose: The aim of this study was to evaluate the relationship between social media addiction and eating behavior, eating disorder risk, body weight and life satisfaction in university students during pandemic period.Design/methodology/approach: The sample consists of 1,411 university students. Data were collected using online questionnaire and Scale of Social Media Usage Motives, Social Media Addiction Scale-Student Form, Dutch Eating Behavior Questionnaire (DEBQ), SCOFF Eating Disorders Scale and Life Assessment Scale were used in the study.Findings: Of the participants, 79.7% had different levels of social media addiction. Body weight and body mass index (BMI) values of those with high social media addiction were significantly higher than those in the non- and low-addicted group (p < 0.05). There was a positive relationship between social media addiction and duration of social media use, social media addiction and emotional and external eating behaviors and a negative relationship between social media addiction and life satisfaction (p < 0.01). There was no significant difference in eating disorder risk according to social media addiction groups (p = 0.823). Individuals in the nonaddicted social media group had the highest Life Assessment Scale score (p < 0.01).Originality/value: Social media addiction was prevalent among university students, and it was related to BMI, eating behavior and life satisfaction. It is necessary to be more careful in the use of social media, which has increased in the pandemic period. Trainings to reduce the use of social media can positively affect eating behavior and contribute to the prevention of obesity and increasing life satisfaction.

Emotional and intuitive eating are associated with obesity. In the present study, it was aimed to evaluate the relationship between intuitive eating and emotional eating behaviours in adults with anthropometric measurements of obesity-related disease risk and gender. Body weight, body mass index (BMI), waist, hip and neck circumferences were taken. Emotional Eater Questionnaire and Intuitive Eating Scale-2 were used for the assessment of eating behaviour. A total of 3742 adult individuals (56⋅8 % (n 2125) female and (n 1617) male) were participated voluntarily. The total score and subscales of EEQ were higher in females than males (P < 0⋅001). The scores of the IES-2 subscales and the total score were higher in males than females (P < 0⋅05). In metabolic risk classification according to waist and neck circumference, EEQ scale scores (except type of food) were higher in the metabolic risk group, while IES-2 (except body-food congruence in neck circumference) scores were higher in the non-risk group (P < 0⋅05). While there was a positive correlation between EEQ and body weight, BMI, waist circumference, waist-height ratio, a negative correlation was found between age and waist-hip ratio. There was a negative correlation between IES-2 and body weight, BMI, waist-height ratio, waist-hip ratio. In addition, a negative correlation was found between IES-2 and EEQ. Intuitive eating and emotional eating differ by gender. Anthropometric measures and metabolic disease risk is associated with emotional eating and intuitive eating. Interventions to increase intuitive and decreasing emotional eating behaviour can be effective in preventing both obesity and obesity-related diseases.

In recent years, there has been a rapid increase in the use of the internet and social media. Billions of people worldwide use social media and spend an average of 2.2 h a day on these platforms. At the same time, artificial intelligence (AI) applications have become widespread in many fields, such as health, education, and finance. While AI has the potential to monitor eating behaviors and provide personalized health support, excessive use of social media and AI can lead to negative effects. These include addiction and reduced quality of life. It is important to examine the attitude toward AI and its relationship with social media addiction, eating behavior, and life satisfaction. Research on the connection between AI attitudes and eating habits is lacking, which emphasizes the necessity of validating AIAS-4 in Turkish in order to ensure its efficacy in this context. The first stage of the study aimed to adapt Grassini’s (2023) Artificial Intelligence Attitude Scale (AIAS-4) into Turkish and assess its validity and reliability. In the second stage, it was aimed to examine the relationship between artificial intelligence attitude and social media addiction, eating behavior, and life satisfaction. This study cross-sectional and methodological study was conducted in two stages in Türkiye. 172 adult individuals underwent a validity and reliability study in the first stage (43% of them were men and 57% were women), which involved adapting the AIAS-4 into Turkish. In the second stage, the relationships between artificial intelligence attitude, social media addiction, eating behavior, and life satisfaction of 510 individuals were evaluated with an average age of 24.88 ± 7.05 years (30.8% male, 69.2% female). Using the snowball sampling technique, the survey was carried out on adults by reaching out to staff and their families from both universities (Gazi University and Tokat Gaziosmanpaşa University) as well as students and their relatives. A face-to-face survey approach (delivered by an interviewer) was used for the study. In this study, the Social Media Addiction Scale-Adult Form(SMAS-AF) was used to assess social media addiction, the Scale of Effects of Social Media on Eating Behavior (SESMEB) was used to measure the impact of social media on eating behavior, the Contentment with Life Assessment Scale was used to evaluate life satisfaction, and the Eating Disorder Examination Questionnaire (EDE-Q total) was used to assess eating disorder symptoms. Pearson Correlation and Spearman Correlation according to normality and Linear regression analysis were used to analyse variables. AIAS-4 was a valid and reliable instrument in this study conducted in Türkiye (Cronbach’s alpha = 0.90 and McDonald’s omega = 0.89). Individuals spend an average of 3.7 ± 1.99 h per day on social media. All participants used WhatsApp, while 89.8% used Instagram. A negative correlation was found between AIAS and EDE-Q total, (r=-0.119 p < 0.05). BMI correlated positively with EDE-Q total (r = 0.391, p < 0.01). Higher AIAS scores were associated with increased time spent on social media (r = 0.129, p < 0.001). Conversely, higher AIAS scores were associated with lower EDE-Q total scores (r= -0.119, p < 0.001). SESMEB correlated positively with EDE-Q total (r = 0.169; p < 0.001). The model showed that BMI (β = 0.311; p < 0.001), AIAS (β =-0.157, p = 0.005), SMAS-AF (β = 0.036; p = 0.002) and SESMEB (β = 0.022; p = 0.038) affected EDE-Q total (p < 0.001 R2 = 0.198). This study revealed that the Artificial Intelligence Attitude Scale (AIAS) is valid and reliable for Turkish adults. The results show that BMI, social media addiction have positive, and AI attitude has negative impact on eating behaviors. These findings emphasize the importance of multidisciplinary approaches and awareness programs in the prevention and management of eating disorders.

This study aimed to determine the relationship between food insecurity and adherence to the Mediterranean diet (MD), academic achievement, depression, anxiety, and stress among university students. This cross-sectional study was conducted with 2039 university students studying in Türkiye. Sixty-eight point two per cent of the students were food insecure. Food security (FS) scores were negatively associated with adherence to the MD and academic achievement, and positively associated with depression, anxiety, and stress scores. A 1-unit increase in FS score resulted in a statistically significant increase of 0.458, 0.468, and 0.400 units in depression, anxiety, and stress scores, respectively, and a significant decrease of 0.140 units in the MD adherence screener score. Food insecurity among university students in Türkiye is very common, and students with food insecurity have low adherence to the MD and low academic achievement and high depression, anxiety, and stress scores. Financial support as well as financial and food literacy provided to students play an important role in managing food insecurity.