Fatma Tayhan Kartal1, Nurcan Yabancı Ayhan2. 1. Ankara University Health Sciences Institute, Ziraat, Şehit Ömer Haluk Sipahioğlu Bulv. 7 Blok No:33, 06110, Ankara, Turkey. fatmatk@karatekin.edu.tr. 2. Department of Nutrition and Dietetics, Faculty of Health Science, Ankara University, Ankara, Turkey.
Abstract
PURPOSE: This study was planned and conducted to determine the relation between eating behavior disorder and smartphones and the internet in college students. METHODS: This research was performed on a total of 437 college students, including 116 males and 321 females. A questionnaire questioning the general characteristics (age, sex, department, socioeconomic status, skipping meal, number of main meals and snacks in a day, sleeping duration, doing physical activity, height, and body weight) of students was used. In addition, Eating Attitude Test-40 (EAT-40), Young's Internet Addiction Scale, and Smartphone Addiction Scale were used to measure eating behavior disorders, internet addiction, and smartphone addiction, respectively. Height and body weight were measured in accordance with the method. RESULTS: 12.6% of the students participating in the study were at risk for eating disorders. Female students had higher EAT-40 scores than male students. 13% of students had potential internet addiction. According to Pearson chi-square test, the prevalence of potential internet addiction (36.4%) in students with eating disorder was higher than those without eating disorder (9.7%) (p < 0.05). Pearson correlation analyses displayed that Smartphone Addiction Test score associated positively with EAT-40 score (r = 0.277) and Internet Addiction Test score (r = 0.665) and students' body mass index (BMI) (r = 0.121). In addition to these, students' duration of staying on the internet correlated with their BMI (r = 0.137). Males had a higher rate of potential internet addiction than females (22.4% in males and 9.7% in females, respectively) (p < 0.05). CONCLUSION: The present results suggest that students' duration of using the internet affects smartphone addiction and internet addiction, both of which influence eating behavior disorder. In addition, both smartphone and internet addiction and eating behavior disorder correlated positively and significantly with overweight. LEVEL OF EVIDENCE: Level V: cross-sectional descriptive study.
PURPOSE: This study was planned and conducted to determine the relation between eating behavior disorder and smartphones and the internet in college students. METHODS: This research was performed on a total of 437 college students, including 116 males and 321 females. A questionnaire questioning the general characteristics (age, sex, department, socioeconomic status, skipping meal, number of main meals and snacks in a day, sleeping duration, doing physical activity, height, and body weight) of students was used. In addition, Eating Attitude Test-40 (EAT-40), Young's Internet Addiction Scale, and Smartphone Addiction Scale were used to measure eating behavior disorders, internet addiction, and smartphone addiction, respectively. Height and body weight were measured in accordance with the method. RESULTS: 12.6% of the students participating in the study were at risk for eating disorders. Female students had higher EAT-40 scores than male students. 13% of students had potential internet addiction. According to Pearson chi-square test, the prevalence of potential internet addiction (36.4%) in students with eating disorder was higher than those without eating disorder (9.7%) (p < 0.05). Pearson correlation analyses displayed that Smartphone Addiction Test score associated positively with EAT-40 score (r = 0.277) and Internet Addiction Test score (r = 0.665) and students' body mass index (BMI) (r = 0.121). In addition to these, students' duration of staying on the internet correlated with their BMI (r = 0.137). Males had a higher rate of potential internet addiction than females (22.4% in males and 9.7% in females, respectively) (p < 0.05). CONCLUSION: The present results suggest that students' duration of using the internet affects smartphone addiction and internet addiction, both of which influence eating behavior disorder. In addition, both smartphone and internet addiction and eating behavior disorder correlated positively and significantly with overweight. LEVEL OF EVIDENCE: Level V: cross-sectional descriptive study.
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