Cross-sectional and prospective association between internet addiction and risk of fatigue among Chinese college students

Fatigue, Internet Addiction and Symptoms of Long COVID-A Cross-Sectional Study of Polish Students

Introduction: Fatigue is the most persistent symptom in patients with long COVID. Moreover, Internet addiction itself has become a pandemic long-term effect. The aim of this study was to investigate the degree of fatigue and Internet addiction in a group of students with COVID-19 and to determine the relationship between fatigue and addiction in students with and without long COVID symptoms. Material and methods: A cross-sectional study was conducted among 402 Polish students aged 19-26. The 183 students who had COVID-19 signaled the presence of long COVID symptoms, which corresponded to 45.5% of the surveyed group. The Modified Fatigue Impact Scale was used to assess the level of fatigue, and the Kimberly Young questionnaire was used to assess the level of Internet addiction. Results: 19.7% (95% c.i.: 15.9-23.9%) of the students surveyed had a moderate level of Internet dependence (Internet addiction measure value of 50 points or more). Most of them did not complain of high levels of fatigue. Higher levels of dependence and fatigue were observed in subjects with long COVID symptoms (MFIS mean value was 26.5 in this group vs. 17.7 in the others; p = 0.0000 ***). The higher the respondents' level of dependence, the more they tended to feel tired (correlations were stronger in those with long COVID symptoms: rS = 0.23; p = 0.0017 **). Conclusions: In view of the results obtained, the study presented here has the potential to contribute to the international debate on the long-term health consequences of the COVID-19 pandemic and strategies to address them. The study provides data that may be useful in the development of educational and health policies that target the psychophysical well-being of patients with long COVID symptoms. This process should be considered as a long-term endeavor.

Correlation of negative emotion, fatigue level and internet addiction in college students: implication for coping strategies

BACKGROUND

Internet addiction has an important influence on the development of physical and mental health of college students. The purpose of this study is to evaluate the current status and the correlation between college students' negative emotion, fatigue level and Internet addiction disorder, and to provide reference for the care and management of college students.

METHODS

We conducted a questionnaire survey on a cluster sample of college students from October to November 15, 2022. Internet addiction scale, fatigue assessment scale and positive and negative emotion scale were used for survey. Pearson correlation analysis and mediating effect test were performed to analyze the correlation and effects.

RESULTS

A total of 1546 valid questionnaires were collected. The incidence of internet addiction in college student was 20.38%. The total score of internet addiction was 52.94 ± 12.47, the total fatigue score was 69.27 ± 3.19, the score of positive emotion of college students was 31. 41 ± 5.09, and the negative emotion score was 18.54 ± 5.68. The total score of internet addiction were positively correlated with score of negative emotion (all P < 0. 05). The total score of internet addiction scale of college students were positively correlated and each factor score of with the score of fatigue severity (all P < 0. 05). Fatigue played an intermediary role in the prediction of negative emotion and internet addiction of college students, with an intermediary role of-0.433, accounting for 76.35% of the total effect.

CONCLUSION

The college students' positive emotion may be strengthened to reduce their fatigue level and negative emotion so as to reduce internet addiction.

The influence of adolescents essential and non-essential use of technology and Internet addiction on their physical and mental fatigues

This study explores the impact of Internet addiction (IA), age, and essential and non-essential technology usage time on the physical and mental fatigue of adolescents. The research surveyed 477 adolescents from Qatar and employed the Internet Addiction Diagnostic Questionnaire (IADQ) and Chalder's Fatigue Scale for data collection. Multiple linear regression and Mann-Whitney U tests were utilized for analysis. The findings indicate that IA, non-essential usage time, and age are positively associated with overall fatigue among adolescents. IA and non-essential usage time are positively linked to physical fatigue, while IA, non-essential usage time, and age are positive predictors of mental fatigue. However, essential usage time is negatively associated with mental fatigue. These results highlight the importance of distinguishing technology usage based on intent and necessity, as well as differentiating between physical and mental fatigue when examining problematic technology usage. This study is among the few conducted in the Middle Eastern context.

Effects of exercise or tai chi on Internet addiction in college students and the potential role of gut microbiota: A randomized controlled trial

OBJECTIVE

This study aimed to explore the effect of exercise or tai chi on Internet addiction disorder (IAD) among college students and clarified the abundance and population changes of gut microbiota in different groups. Thus explore the potential role of gut microbiota between exercise and IAD.

METHODS

A total of 93 subjects diagnosed with mild IAD were randomly assigned to the exercise group, the tai chi group, and the control group. The intervention groups received exercise or tai chi for 8 weeks and the control group was evaluated without any intervention. Fecal samples were collected after the intervention.

RESULTS

1) Analysis found a significant intervention effect with the exercise group showing an average decrease of 8.84 points on the Internet addiction test (IAT) compared with the control group (95%CI -15.41 to-2.27, P = 0.004). But there was no significant difference between the control group and the tai chi group. 2) Both exercise (P = 0.018) and tai chi (P = 0.026) could significantly relieve fatigue symptoms. 3) The relative abundance of the Betaproteobacteria, Porphyromonadaceae, Sutterellaceae, and Alistipes were significantly decreased in the exercise group compared with the control group, and the relative abundance of Escherichia was significantly increased in the exercise group. 4) The relative abundance of Betaproteobacteria, Sutterellaceae, and Escherichia had significant differences between the improved group and the no-improved group.

CONCLUSION

Exercise intervention has a considerable effect on treating IAD. Exercise and tai chi might have effectiveness in relieving the symptoms of fatigue. Exercise intervention regulates the gut microflora and changes the abundance of microflora to improve IAD.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov, identifier NCT05529368.