Adaptation and psychometric properties of an Arabic version of the smartphone addiction scale (SAS) in the context of Saudi Arabia

Prevalence and factors associated with smartphone addiction among nursing postgraduates during the COVID-19 pandemic: a multilevel study from China's mainland

BACKGROUND

Smartphone addiction is prevalent among college students, and there is a concern that the COVID-19 pandemic may bring an increased prevalence of smartphone addiction due to constant online classes and repeat quarantine policies. This study aims to assess the prevalence and influencing factors of smartphone addiction among Chinese nursing postgraduates during the pandemic by examining variables, including loneliness, perceived stress, resilience, and sense of security.

METHODS

This online cross-sectional survey recruited 224 nursing postgraduates in four cities in 2022, using Smartphone Addiction Scale for College Students, the Chinese version of Perceived Stress Scale, UCLA Loneliness Scale Version 3, Chinese version of the 10-item Connor-Davidson Resilience Scale, and the Security Questionnaire. Hierarchical regression analysis and logistic regression analysis were performed to explore the associated factors and predictors of smartphone addiction.

RESULTS

During the COVID-19 pandemic, the prevalence of smartphone addiction was 10.41%. There was a positive correlation between smartphone addiction and loneliness, perceived stress (P < 0.001), and a negative relationship with resilience and sense of security (P < 0.001). The logistic regression analysis identified five risk factors that contribute to smartphone addiction, including daily duration of using a smartphone (3-5 h) (OR = 11.085, 95%CI = 1.21-101.79), numbers of smartphone (OR = 3.704, 95%CI = 1.33-10.30), perceived stress (OR = 1.163, 95%CI = 1.06-1.28), loneliness (OR = 1.071, 95%CI = 1.01-1.13), age of using a smartphone first time (OR = 0.754, 95%CI = 0.60-0.95). Two protective factors, resilience (OR = 1.098, 95%CI = 1.01-1.20) and sense of security (OR = 0.950, 95%CI = 0.90-1.00), were identified.

CONCLUSIONS

Collectively, our study found that during the COVID-19 pandemic, smartphone addiction was prevalent among nursing postgraduates, and loneliness and perceived stress are important risk factors for smartphone addiction. Therefore, administrators should adopt targeted interventions to reduce smartphone addiction and the negative impacts on the psychological well-being of nursing postgraduates during a sudden outbreak of a national epidemic crisis.

Factor structure and psychometric properties of an Arabic version of the Internet Gaming Disorder Scale, short form (IGDS-SF9)

Background

In its most recent edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM), the American Psychological Association recognized that internet gaming disorder is a psychological condition and provides nine criteria for its diagnosis, and the Internet Gaming Disorder Scale, short form (IGDS-SF9) was developed to assess individuals.

Aim

To develop and investigate the psychometric properties of an Arabic version of IGDS-SF9.

Method

A five-stage translation and verification process produced an Arabic version of IGDS-SF9, and a study was conducted using a sample of 410 respondents (45.6% females, mean age = 17.6, SD = 1.56) to assess its psychometric properties. Respondents completed the Arabic version, the Smartphone Addiction Scale, the Smartphone Application-Based Addiction Scale, the Hospital Anxiety and Depression Scale, as well as a demographic survey. Exploratory and confirmatory factor analyses, measurement invariance, item response theory, convergent, concurrent, criterion validity, and internal consistency reliability and test-retest reliability were employed to validate the scale.

Results

The exploratory factor analysis suggested the scale's unidimensional structure; the confirmatory factor analysis exhibited good model fit and factor loadings. Measurement invariance, and concurrent, convergent, and criterion validity were established, resulting in good internal consistency and test-retest reliability for the scale.

Conclusion

The Arabic version of IGDS-SF9 is a valid and reliable measure for research and diagnosis in Arabic-speaking countries.

Smart phone addiction and its mental health risks among university students in Jordan: a cross-sectional study

BACKGROUND

Addiction to smart phones is classified clinically as behavioral addiction resulted from an excessive problematic usage of smart phones that effect the daily life of the users. Therefore, this study aims to explore the prevalence of smart phone addiction, its associated psychological distress risk, and its associated predictors among university students in Jordan.

METHODS

Between November 2022 and January 2023, a cross-sectional online survey study was conducted in Jordan. In this study, we used previously developed questionnaire instruments, the psychological Distress scale of Kessler and the Smartphone Addiction Scale. A score of 30 was used to identify the dummy variable in the binary logistic regression analysis to identify predictors of severe psychological distress, and smartphone addiction score of 38.7 was used to to identify predictors of smartphone addiction.

RESULTS

A total of 2337 university students participated in this study. The mean psychological distress score for the study participants was 30.0 (SD: 8.9). More than half of the study participants (59.1%) had a psychological distress score of 30 and above, which indicates a severe mental disorder state. More than half of the study participants (56.7%) had a smartphone addiction score of 30 and above, which reflects a smartphone addiction state. Females, divorced, those who feel that their mental abilities have been negatively affected by the use of smart phones, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to have severe psychological distress compared to others (p < 0.05). Females, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to be smartphone addicted compared to others (p < 0.05).

CONCLUSION

Mental diseases are a major public health concern in Jordan, especially among university students. Females, those who thought smartphone usage hurt their mental capacities, and those who had trouble sleeping and fatigue were more likely to develop serious psychological discomfort and smartphone addiction. Smartphones are indispensable, but excessive use can lead to addiction and harm university students' mental health.