Survey of the effects of internet usage on the happiness of Japanese university students

Kitazawa, Momoko; Yoshimura, Michitaka; Hitokoto, Hidefumi; Sato-Fujimoto, Yuka; Murata, Mayu; Negishi, Kazuno; Mimura, Masaru; Ohta, Michio; Kishimoto, Toshifumi

doi:10.1186/s12955-019-1227-5

Cited by 20 publications

(23 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The high mean total exposure score implies that university students have high exposure to both mass media and social media during the COVID-19 outbreak. This finding replicates evidence from previous research, indicating high use of online media (particularly social media) by the younger generation and specifically university students [ 21 - 24 ]. In this study, we also found that university students were exposed to equal amounts of COVID-19–related information from both mass and social media.…”

Section: Discussionsupporting

confidence: 90%

Influence of Mass and Social Media on Psychobehavioral Responses Among Medical Students During the Downward Trend of COVID-19 in Fujian, China: Cross-Sectional Study

Lin¹,

Hu²,

Alias³

et al. 2020

J Med Internet Res

124

110

View full text Add to dashboard Cite

Background An extensive amount of information related to the novel coronavirus (COVID-19) pandemic was disseminated by mass and social media in China. To date, there is limited evidence on how this infodemic may influence psychobehavioral responses to the crisis. Objective The aim of this study is to assess the psychobehavioral responses to the COVID-19 outbreak and examine their associations with mass and social media exposure. Methods A cross-sectional study among medical and health sciences students from the Fujian Medical University in Fuzhou, China, was conducted between April 6-22, 2020. Results A total of 2086 completed responses were received. Multivariable analyses demonstrated that four constructs of the Health Belief Model (HBM)—higher perception of susceptibility (odds ratio [OR] 1.44; 95% CI 1.07-1.94), severity (OR 1.32; 95% CI 1.10-1.59), self-efficacy (OR 1.61; 95% CI 1.21-2.15), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.09-1.59)—were significantly associated with a higher mass media exposure score, whereas only three constructs—higher perception of severity (OR 1.43; 95% CI 1.19-1.72), self-efficacy (OR 1.85; 95% CI 1.38-2.48), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.08-1.58)—were significantly associated with a higher social media exposure score. Lower emotional consequences and barriers to carry out prevention measures were also significantly associated with greater mass and social media exposure. Our findings on anxiety levels revealed that 38.1% (n=795; 95% CI 36.0-40.2) of respondents reported moderate-to-severe anxiety. A lower anxiety level was significantly associated with higher mass and social media exposure in the univariable analyses; however, the associations were not significant in the multivariable analyses. Conclusions In essence, both mass and social media are useful means of disseminating health messages and contribute to the betterment of psychobehavioral responses to COVID-19. Our findings stress the importance of the credibility of information shared through mass and social media outlets and viable strategies to counter misinformation during a pandemic.

show abstract

Section: Discussionsupporting

confidence: 90%

Influence of Mass and Social Media on Psychobehavioral Responses Among Medical Students During the Downward Trend of COVID-19 in Fujian, China: Cross-Sectional Study

Lin¹,

Hu²,

Alias³

et al. 2020

J Med Internet Res

124

110

View full text Add to dashboard Cite

show abstract

“…A meta-analysis of 23 studies across different age groups found a negative correlation between problematic internet use and well-being [32]. A study of Japanese university students also found a similar result [33]. Although internet and social media can increase social interaction with friends and family, Kraut et al found that this phenomenon is only true for people who were already rich in social capital, and for those who lack interpersonal connections in real life, internet use tends to reinforce social isolation [34].…”

Section: Plos Onementioning

confidence: 79%

Relationships between internet use, deliberate self-harm, and happiness in adolescents: A Taiwan birth cohort pilot study

et al. 2020

View full text Add to dashboard Cite

The potential risk of internet use on adolescents' self-harm is a major concern. Vulnerable adolescents who are susceptible to bullying are also susceptible to the negative influence of the internet. In this study, the pathway associations were investigated between the risk factors of deliberate self-harm, experience of being bullied, internet use, and protective factors of maternal monitoring on perceived happiness of 12-and 13-year-old adolescents in the Taiwan Birth Cohort Pilot Study dataset (n = 1,457). The Chinese Oxford Happiness Questionnaire was used to measure the adolescents' self-perceived levels of happiness, in two dimensions of social adaptation status and psychological well-being. Our results show that 354 (24.3%) of the 12-year-olds reported having been bullied, and 289 (19.8%) of the 13year-olds reported this. Seventy-nine (5.4%) of 13-year-olds reported deliberate self-harm in the past year. Results of a structural equation model showed that those who had been bullied at age 12 years were at greater risk of deliberate self-harm at age 13 years. A negative association was found between duration of internet use and perceived level of happiness. Adolescents who spent >5 h online during days off school were at higher risk of deliberate self-harm, and perceived a lower level of happiness. Therefore, spending >5 h online during days off school could be used as an indicator in future preventive action programs to screen out those at a high risk of excessive internet use, deliberate self-harm, and psychological well-being and social adjustment issues.

show abstract

“…De Vries et al found that internet users with psychiatric disorders are more likely to experience sleep problems, depression, anxiety, and autism (20). Several studies have considered the quality of sleep in people with IA (12,18,(44)(45)(46), but in some studies no significant relationship has been found (19). In studies that have reported a significant relationship between IA and sleep disturbances, the severity of such a relationship has been varied.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Hence, the consistency across the studies strengthens our findings, emphasizing the association between IA and sleep. The consistency could be attributed to the commonly used IA and sleep instruments: 17 studies used the IAT to assess IA (19,20,43,45,47,52,53,56,(58)(59)(60)(61)(62)(63)(64)(65)68) and nine used the PSQI to assess sleep problems (38, 45-47, 57, 60, 62, 63, 66). Furthermore, the high quality of these studies (all studies have clearly defined their objectives, variables, and measurement using well-established criteria) and the comparable participants in these studies (19 studies on high school or university students [19, 38, 43-47, 52, 53, 57, 58, 60-62, 64-68]) ensure the homogeneity among the studies and result in consistent findings.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Internet addiction and sleep problems: A systematic review and meta-analysis

Alimoradi

Lin

Broström

et al. 2019

Sleep Medicine Reviews

313

193

View full text Add to dashboard Cite

The pathological use of the internet-conceptualized as 'internet addiction'-might be crucial in initiating and increasing sleep disturbances in the community. While inconsistent evidence is reported regarding the association of internet addiction and sleep disturbances, the severity of this association remains unclear. This systematic review and meta-analysis were conducted to increase our understanding of the relationship between internet addiction and sleep disturbances. A systematic review was conducted through Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and EMBASE using keywords related to internet addiction and sleep problems. Observational studies (cohort, case-control or cross-sectional studies) focusing on association between internet addiction and sleep disturbances including sleep problems and sleep duration were selected. A meta-analysis using random-effect model was conducted to calculate the odds ratio (OR) for experiencing sleep problems and standardized mean differences (SMDs) for sleep duration. Eligible studies (N=23) included 35,684 participants. The overall pooled OR of having sleep problems if addicted to the internet was 2.20 (95% CI: 1.77-2.74). Additionally, the overall pooled SMDs for sleep duration for the IA group compared to normal internet users was-0.24 (95% CI:-0.38,-0.10). Results of the meta-analysis revealed a significant OR for sleep problems and a significant reduced sleep duration among individuals addicted to the internet.

show abstract

Survey of the effects of internet usage on the happiness of Japanese university students

Cited by 20 publications

References 34 publications

Influence of Mass and Social Media on Psychobehavioral Responses Among Medical Students During the Downward Trend of COVID-19 in Fujian, China: Cross-Sectional Study

Influence of Mass and Social Media on Psychobehavioral Responses Among Medical Students During the Downward Trend of COVID-19 in Fujian, China: Cross-Sectional Study

Relationships between internet use, deliberate self-harm, and happiness in adolescents: A Taiwan birth cohort pilot study

Internet addiction and sleep problems: A systematic review and meta-analysis

Contact Info

Product

Resources

About