• Users Online: 239
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe News Contacts Login 
ORIGINAL ARTICLE
Year : 2022  |  Volume : 6  |  Issue : 2  |  Page : 82-86

Internet addiction predicted insomnia among bangladeshi undergraduate students at the time of the COVID-19 pandemic


1 Department of Physiotherapy and Rehabilitation, Uttara Adhunik Medical College and Hospita; Hasna Hena Pain and Physiotherapy and Public Health Research Center, Dhaka, Bangladesh
2 Department of Neurosurgery, Ibrahim Cardiac Hospital and Research Institute, Dhaka, Bangladesh
3 Department of Public Health, North South University, Dhaka, Bangladesh

Correspondence Address:
Dr. Mohammad Ali
Department of Physiotherapy and Rehabilitation, Uttara Adhunik Medical College and Hospital, Sector-09, Uttara Model Town, Dhaka 1230
Bangladesh
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/hm.hm_66_21

Rights and Permissions

Objective: The prevalence of Internet addiction (IA) and insomnia among the student cohort was high. The COVID-19 pandemic adversely influenced both critical emerging public health concerns. Our study aimed to determine the prevalence of IA and insomnia and assess the relationship among the problems at the crucial time of the COVID-19 pandemic. Methods: A pilot survey was conducted among undergraduate students of an educational institute by inviting participants to use an electronically randomly selected e-mail address provided by the affiliated institute. Descriptive analysis was conducted to identify the student subgroups with a higher prevalence of insomnia; however, a multiple regression analysis was employed to identify the predictors of insomnia. Results: Insomnia and IA prevalence was 49.4% and 81.7%, respectively. Age group, gender, relationship status, family income, family type, living location, tobacco use, and exercise habits and physical illness history were associated with insomnia. However, regression analysis suggested that maintaining a relationship, being physically ill in the last year, and IA could predict insomnia independently. Conclusion: Institutional initiatives are recommended to reduce the high burden of insomnia and IA. A large sample size cross-sectional and longitudinal study is warranted to generalize these findings and determine the in-depth relationship between IA and insomnia.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed878    
    Printed24    
    Emailed0    
    PDF Downloaded71    
    Comments [Add]    

Recommend this journal