Internet addiction, depressive symptoms, and anxiety symptoms are associated with the risk of eating disorders among university students in Bangladesh

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作者
Md. Hasan Al Banna
Shammy Akter
Humayun Kabir
Keith Brazendale
Mst. Sadia Sultana
Najim Z. Alshahrani
Bright Opoku Ahinkorah
Tarif Salihu
Bably Sabina Azhar
Md. Nazmul Hassan
机构
[1] Patuakhali Science and Technology University,Department of Food Microbiology, Faculty of Nutrition and Food Science
[2] Nutrition Initiative,Department of Applied Nutrition and Food Technology, Faculty of Biological Sciences
[3] Islamic University,Department of Health Research Methods, Evidence and Impact
[4] McMaster University,Department of Health Sciences
[5] University of Central Florida,Department of Public Health and Informatics
[6] Jahangirnagar University,Department of Family and Community Medicine, Faculty of Medicine
[7] University of Jeddah,School of Public Health
[8] University of Technology Sydney,Department of Population and Health
[9] University of Cape Coast,Department of Environmental Sanitation, Faculty of Nutrition and Food Science
[10] Patuakhali Science and Technology University,undefined
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摘要
The risk of developing an eating disorder among university students is higher than the general population in Bangladesh. Since psychiatric disorders (such as depression and anxiety) and addictive behaviors (e.g., internet addiction) predominantly exist among university students in the country, these may increase their vulnerability to developing an eating disorder. The association of internet addiction, depression, and anxiety with the risk of eating disorders among Bangladeshi university students is relatively unknown; therefore, this study investigates the association. This study was a cross-sectional design. Students (N = 700) from two public universities in Bangladesh completed the Patient Health Questionnaire (PHQ-9) scale, the Generalized Anxiety Disorder (GAD-7) tool, and Orman's Internet Addiction Survey (OIAS) to measure exposure variables. Eating Attitudes Test-26 (EAT-26) assessed the outcome variable. Multivariable logistic regression analysis showed that internet addiction [adjusted odds ratio (aOR) for moderate addiction = 2.15 and severe addiction = 3.95], depressive (aOR 3.04), and anxiety (aOR 2.06) symptoms were associated with an increased risk of eating disorder among study participants. Future longitudinal studies on university students are recommended to gain a better understanding about the causal factors of eating disorder to support intervention initiatives and strategies by public health practitioners and policy experts.
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