Internet Use and Quality of Life: The Multiple Mediating Effects of Risk Perception and Internet Addiction

Relationship between psychological capital and mental health at higher education: Role of perceived social support as a mediator

Research in Positive Psychology has indicated a correlation between Psychological Capital (PsyCap) and Mental health (MH). However, the specific contribution of Perceived Social Support (PSS) in the connection between PsyCap and MH, particularly within higher education, remains uninvestigated. This study investigated how PSS could mediate the effect of PsyCap on students' MH using a cross-sectional research design. The sample encompassed 443 undergraduate graduate students at Huazhong University of Science and Technology in Wuhan, China. Results from Partial Least Squares Structural Equation Modeling (PLS-SEM) showed that both PsyCap (β = 0.815, t = 31.074, p < 0.000) and PSS (β = 0.405, t = 28.051, p < 0.000) have a positive impact on students' MH. Additionally, PSS was identified as a significant mediator in relation to students' MH (b = 0.080, t = 2.319, p < 0.020). This study emphasizes the importance of developing these factors in educational and support programs to enhance students' well-being. Moreover, the results offer significant conceptual and practical insights for higher education faculty, psychologists, and curriculum designers.

COVID-19 victimization experience and university students' smartphone addiction: the mediating role of emotional intelligence

OBJECTIVES

During the post-COVID-19 era, everyone has the risk of contracting the virus and becoming the victims of COVID-19. Examining the relationship between the COVID-19 victimization experience and its effects is more urgent. The aim of present study is to propose a mediation model to investigate the association between COVID-19 victimization experience and smartphone addiction, and the mediating role of emotional intelligence.

METHODS

A online questionnaire including the COVID-19 Victimization Experience Scale, the Smartphone Addiction Scale, and the Emotional Intelligence Scale among Chinese university students, were employed in this study. Finally, 1154 valid questionnaires were collected. The reliability and confirmatory factor analysis results showed that all three scales had good reliability and validity.

RESULTS

Structural Equation Model (SEM) demonstrated that COVID-19 victimization experience significantly predicted smartphone addiction in university students, and emotional intelligence partially mediated the association between COVID-19 victimization experience and smartphone addiction. Bootstrap results furthermore tested the rigor of the mediating effect.

CONCLUSION

COVID-19 victimization experience was a important variables in predicting university students's martphone addiction, and emotional intelligence was a protective factor in decreasing the negative effect of COVID-19 victimization experience on addictive behaviors. It is suggested that instructors should integrate emotional intelligence training programs into mental health courses so as to improve students' emotional intelligence ability.

Bullying Victimization and Quality of Life among Chinese Adolescents: An Integrative Analysis of Internet Addiction and Social Withdrawal

Bullying victimization has been proven to be a direct predictor of adolescents' quality of life, whereas elaborate mechanisms remain inconclusive. This study aims to explore the mediating pathway of Internet addiction and social withdrawal on the relationship between bullying victimization and quality of life among Chinese adolescents. This study used the cross-sectional data collected by self-reported questionnaires, including multidimensional peer-victimization scale, youth quality of life instrument-short form, prolonged social withdrawal questionnaire, and compulsive Internet use scale. A total of 1278 participants from four junior middle schools and two high schools participated in the questionnaire survey. SPSS 25.0 and Amos 25.0 were adopted to analyze the data. The results indicated that bullying victimization was directly and indirectly associated with adolescents' quality of life. Internet addiction and social withdrawal partially mediated the relationship between bullying victimization and quality of life among adolescents. The current study demonstrated the underlying pathway of how bullying victimization affected adolescents' quality of life, which could provide an intervention perspective for governments and social workers to improve adolescents' quality of life by controlling Internet addiction and social withdrawal.

Internet Risk Perception: Development and Validation of a Scale for Adults

Despite the importance of Internet risk perception, no instrument currently exists that measures this awareness in the Spanish population. The goal of this study was to provide information on studies of the validity and reliability of the Internet Risk Perception (IRP) Scale for adult Spanish citizens. We began with a literature review and validation using a mixed panel with 20 participants. We analyzed the degree to which the subjects agreed or disagreed with the criteria evaluated, including contributions for improving the instrument, and performed a pilot test with 517 adults aged 18 to 77. Construct reliability and validity were analyzed using various statistical analyses. The results from the confirmatory factor analysis showed a sufficient accuracy of the data with parameters that indicated an excellent fit for all items. The Spanish version of the scale for adults is a reliable and valid instrument for use in studies that investigate Internet risk perception in people over 18 years of age.

The Effect of COVID-19 Perceived Risk on Internet Addiction among College Students in China: An Empirical Study Based on the Structural Equation Model

This study focused on COVID-19 perceived risk and Internet addiction among Chinese college students during the lockdown. On the basis of the Social Cognitive Theory, this study proposed a mediating model to evaluate the mediating role of difficulties in regulating emotion between the COVID-19 perceived risk and Internet addiction. A questionnaire survey was conducted among 690 college students during the COVID-19 lockdown in China. The results showed that the COVID-19 perceived risk was significantly positively associated with Internet addiction (r = 0.236, p < 0.001) and difficulties in emotion regulation (r = 0.220, p < 0.001), difficulties in emotion regulation was significantly positively associated with Internet addiction (r = 0.368, p < 0.001). The COVID-19 perceived risk had a significant and positive predictive effect on Internet addiction (β = 0.233, p < 0.001) among Chinese college students. The analysis of the mediation model showed that difficulties in emotion regulation partially mediated the relationship between COVID-19 perceived risk and Internet addiction (indirect effect value was 0.051 with 95% Confidence Interval ranging from 0.027 to 0.085). The findings not only enhanced our understanding of the internal influence mechanism of COVID-19 perceived risk on Internet addiction but also provided a practical basis for college education works. Finally, discussions and suggestions were provided on the basis of the results.

Longitudinal Relationship between Cognitive Function and Health-Related Quality of Life among Middle-Aged and Older Patients with Diabetes in China: Digital Usage Behavior Differences

BACKGROUND

Cognitive function and health-related quality of life (HRQoL) are important issues in diabetes care. According to the China Association for Aging, it is estimated that by 2030, the number of elderly people with dementia in China will reach 22 million. The World Health Organization reports that by 2044, the number of people with diabetes in China is expected to reach 175 million.

METHODS

Cohort analyses were conducted based on 854 diabetic patients aged ≥45 years from the third (2015) and fourth (2018) survey of the China Health and Retirement Longitudinal Study (CHARLS). Correlation analysis, repeated-measures variance analysis, and cross-lagged panel models were used to measure the difference in digital usage behavior in the established relationship.

RESULTS

The results show that the cognitive function of middle-aged and older diabetic patients is positively correlated with HRQoL. HRQoL at T1 could significantly predict cognitive function at T2 (PCS: B = 0.12, p < 0.01; MCS: B = 0.14, p < 0.01). This relationship is more associated with individual performance than digital usage behavior.

CONCLUSIONS

Unidirectional associations may exist between cognitive function and HRQoL among middle-aged and older Chinese diabetes patients. In the future, doctors and nurses can recognize the lowering of self-perceived HRQoL of middle-aged and older diabetic patients, and thus draw more attention to their cognitive function, in turn strengthening the evaluation, detection, and intervention of their cognitive function.