Investigation of the Relationship Between Internet Addiction, Fatigue and Obesity in University Students

Aim: This study was planned to investigate the relationship between internet addiction, fatigue, and obesity among university students. Method: The study was conducted with the participation of 335 students studying at Gumushane University School of Health Services. Demographic information forms Fatigue Severity Scale (FSS), Young Internet Addiction Test-Short Form (YIAT-SF) were used to collect data. Obesity was assessed by body mass index (BMI). Results: 75.2% of the participants were female. The mean age of the students was 20.85±1.48 year; mean BMI was 22.32±3.57 kg/m2; mean FSS score was 40.19±12.83; and mean YIAT-SF score was 29.10±8.08. There was a statistically significant difference in fatigue severity between women and men, and between obese individuals and normal weight individuals (p<0.05). Again, there was a significant difference in fatigue severity between 1st and 2nd graders and between those who exercised regularly and those who did not (p<0.05). It was found that there was a significant difference in internet addiction between those who exercise regularly and those who do not (p<0.05). A positive significant correlation was found between internet addiction and fatigue (p<0.05). Conclusion: Internet addiction negatively affects exercise habits and increases fatigue. For this reason, reducing the time spent on the internet and managing internet addiction in young people and children are recommended.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.13621357
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

Investigation of the Relationship Between Internet Addiction, Fatigue and Obesity in University Students

Zenodo (CERN European Organization for Nuclear Research)
Impact of Technology on Adolescents
article

Investigation of the Relationship Between Internet Addiction, Fatigue and Obesity in University Students

article en

Abstract

Aim: This study was planned to investigate the relationship between internet addiction, fatigue, and obesity among university students. Method: The study was conducted with the participation of 335 students studying at Gumushane University School of Health Services. Demographic information forms Fatigue Severity Scale (FSS), Young Internet Addiction Test-Short Form (YIAT-SF) were used to collect data. Obesity was assessed by body mass index (BMI). Results: 75.2% of the participants were female. The mean age of the students was 20.85±1.48 year; mean BMI was 22.32±3.57 kg/m2; mean FSS score was 40.19±12.83; and mean YIAT-SF score was 29.10±8.08. There was a statistically significant difference in fatigue severity between women and men, and between obese individuals and normal weight individuals (p<0.05). Again, there was a significant difference in fatigue severity between 1st and 2nd graders and between those who exercised regularly and those who did not (p<0.05). It was found that there was a significant difference in internet addiction between those who exercise regularly and those who do not (p<0.05). A positive significant correlation was found between internet addiction and fatigue (p<0.05). Conclusion: Internet addiction negatively affects exercise habits and increases fatigue. For this reason, reducing the time spent on the internet and managing internet addiction in young people and children are recommended.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 43%
Impact of Technology on Adolescents
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