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Investigating Internet Addiction and Sleep Quality Correlation Among Students of Isfahan University of Medical Sciences in 2021

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Background: The quality of sleep plays an important role in physical development, as well as maintaining physical and mental health. Approximately 20% of Iranian students suffer from Internet addiction, and 56% suffer from insomnia. Objectives: This study aimed to investigate the relevance of Internet addiction and sleep quality among Isfahan University of medical sciences students. Methods: This cross-sectional study was conducted as a questionnaire at the Medical Sciences University of Isfahan. The collected data had three components: (1) Demographic information, (2) sleep quality with the Pittsburgh Sleep Quality Index (PSQI), and (3) amount of internet use with a questionnaire of 20 Internet Addiction Tests (IAT). Logistic regression was used to find any association between Internet Addiction and Sleep quality. Results: A total of 562 female and male students participated in the study, with a mean age of 21.41 ± 1.87. Internet users with moderate and mild addiction had poorer sleep quality than those with normal and severe Internet addiction. Logistic regression analysis showed an association between Internet addiction scores and sleep quality (OR = 1.035: 1.02, 1.04, P < 0.001). In addition, poor sleep quality was also predicted by the subgroups "excessive internet use" and "anticipation". Conclusions: The relationship between internet addiction and sleep quality was significantly negative. Universities and all educational institutions can use it to control the effects of Internet abuse and the quality of sleep of students.
Title: Investigating Internet Addiction and Sleep Quality Correlation Among Students of Isfahan University of Medical Sciences in 2021
Description:
Background: The quality of sleep plays an important role in physical development, as well as maintaining physical and mental health.
Approximately 20% of Iranian students suffer from Internet addiction, and 56% suffer from insomnia.
Objectives: This study aimed to investigate the relevance of Internet addiction and sleep quality among Isfahan University of medical sciences students.
Methods: This cross-sectional study was conducted as a questionnaire at the Medical Sciences University of Isfahan.
The collected data had three components: (1) Demographic information, (2) sleep quality with the Pittsburgh Sleep Quality Index (PSQI), and (3) amount of internet use with a questionnaire of 20 Internet Addiction Tests (IAT).
Logistic regression was used to find any association between Internet Addiction and Sleep quality.
Results: A total of 562 female and male students participated in the study, with a mean age of 21.
41 ± 1.
87.
Internet users with moderate and mild addiction had poorer sleep quality than those with normal and severe Internet addiction.
Logistic regression analysis showed an association between Internet addiction scores and sleep quality (OR = 1.
035: 1.
02, 1.
04, P < 0.
001).
In addition, poor sleep quality was also predicted by the subgroups "excessive internet use" and "anticipation".
Conclusions: The relationship between internet addiction and sleep quality was significantly negative.
Universities and all educational institutions can use it to control the effects of Internet abuse and the quality of sleep of students.

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