Ankara University Health Sciences Institute, Ziraat, Şehit Ömer Haluk Sipahioğlu Bulv. 7 Blok No:33, 06110, Ankara, Turkey.
Department of Nutrition and Dietetics, Faculty of Health Science, Ankara University, Ankara, Turkey.
Eat Weight Disord. 2021 Aug;26(6):1853-1862. doi: 10.1007/s40519-020-01027-x. Epub 2020 Oct 9.
This study was planned and conducted to determine the relation between eating behavior disorder and smartphones and the internet in college students.
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.
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).
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 V: cross-sectional descriptive study.
本研究旨在探讨大学生饮食行为障碍与智能手机和互联网使用之间的关系。
本研究共纳入 437 名大学生，其中男 116 名，女 321 名。采用问卷形式调查学生的一般特征（年龄、性别、专业、社会经济地位、是否不吃早餐、每天主餐和零食的次数、睡眠时间、体育活动、身高、体重）。此外，还使用 Eating Attitude Test-40（EAT-40）、Young 的互联网成瘾量表和智能手机成瘾量表分别测量饮食行为障碍、互联网成瘾和智能手机成瘾。身高和体重按照标准方法进行测量。
研究中，有 12.6%的学生存在饮食障碍风险。女性学生的 EAT-40 得分高于男性学生。13%的学生存在潜在的互联网成瘾。通过 Pearson 卡方检验，患有饮食障碍的学生中潜在互联网成瘾的患病率（36.4%）高于无饮食障碍的学生（9.7%）（p<0.05）。Pearson 相关分析显示，智能手机成瘾量表评分与 EAT-40 评分（r=0.277）和互联网成瘾测试评分（r=0.665）以及学生的体重指数（BMI）（r=0.121）呈正相关。此外，学生上网时间与 BMI 呈正相关（r=0.137）。男性潜在互联网成瘾的发生率高于女性（男性为 22.4%，女性为 9.7%）（p<0.05）。
本研究结果表明，学生上网时间会影响智能手机成瘾和互联网成瘾，进而影响饮食行为障碍。此外，智能手机和互联网成瘾与饮食行为障碍以及超重均呈正相关且显著相关。
五级：横断面描述性研究。
