A Nudge-Based Intervention to Reduce Problematic Smartphone Use: Randomised Controlled Trial

Mobile phone addiction and self-injury in adolescents with MDD: mediation by self-esteem and depression, and the failure of usage restrictions

BACKGROUND

Previous studies have suggested a significant association between mobile phone addiction (MPA) and non-suicidal self-injury (NSSI) in general adolescents. However, limited research has analyzed this relationship in clinical populations, such as those with major depressive disorder (MDD), and the potential mediation mechanisms remain unclear.

METHODS

This cross-sectional observational study analyzed data from 2343 adolescents with MDD (77.9% females; mean age = 14.99 years, SD = 1.65). Using mediation models, we explored the roles of self-esteem and depression severity (measured by Patient Health Questionnaire-9) in the relationship between MPA and NSSI. Additionally, we evaluated the associations between existing school-implemented mobile phone usage policies and levels of MPA, self-esteem, depression symptoms, and NSSI.

RESULTS

MPA was significantly associated with NSSI, with low self-esteem and increased depression severity almost entirely mediating this effect (log-odds = 0.016, 95%CI = 0.02-0.013). Subdomains of MPA, including inability to control craving, feelings of anxiety, and productivity loss, followed similar mediation models, while the subdomain of withdrawal/escape had a partial effect mediated by depression severity. Additionally, enforced restrictions on mobile phone usage in schools did not show positive effects on related variables and even exacerbated MPA by increasing cravings and reducing productivity.

CONCLUSION

Our study suggests that MPA in adolescents with MDD may be an important risk factor for NSSI occurrence, and that reducing the negative impact of mobile phone usage on self-esteem and depressive symptoms, rather than simply restricting usage, may be crucial for effective intervention.

Less smartphone and more physical activity for a better work satisfaction, motivation, work-life balance, and mental health: An experimental intervention study

Employees' work satisfaction and mental health are crucial for an organization's productivity. The current experimental study on employees (Ntotal = 278) from different professional sectors and workplaces in Germany investigated how to improve both by changes of daily non-work-related smartphone use time and physical activity time. For one week, the smartphone group (N = 73) reduced its daily smartphone use by one hour, the physical activity group (N = 69) increased its daily physical activity by 30 minutes, the combination group (N = 72) followed both interventions, the control group (N = 64) did not change its behavior. Online surveys assessed work-related and mental health-related variables at three measurement time points (baseline; post-intervention; two-week follow-up). The reduction of smartphone use time and the combination of both interventions increased work satisfaction, work motivation, work-life balance, and positive mental health significantly; experience of work overload and problematic smartphone use significantly decreased. All interventions decreased depressive symptoms and enhanced sense of control significantly. Following the present findings, a conscious and controlled reduction of non-work-related smartphone use time and its combination with more physical activity could improve employees' work satisfaction and mental health in the organizational context either as an addition to established training programs or as a separate time- and cost-efficient low threshold program.

A multi-school study in England, to assess problematic smartphone usage and anxiety and depression

AIM

To assess the association between problematic smartphone usage and anxiety and depression in adolescents.

METHODS

A cross-sectional study in five schools in the UK were included. The primary outcome was moderate anxiety (GAD-7 ≥10) symptoms and secondary outcomes were moderate depression symptoms (PHQ-9 ≥10) and insomnia. Problematic smartphone usage was assessed using screentime and the Smartphone Addiction Scale. A multi-level logistic regression was fitted and adjusted Odds Ratio (aOR) with 95% confidence intervals (95% CI) reported. A mediation analysis was conducted.

RESULTS

Of the five included schools, 657 adolescents aged 16-18 years were enrolled. The median age was 17.5 years (17-18 [IQR]) and 508 (77.3%) were female. Of these 188 (28.6%) exhibited moderate anxiety and 226 (34.4%) moderate depression symptoms. Almost two thirds (421, 64.1%) have tried to cut down their smartphone use and 81 (12.5%) wanted help to reduce use. Problematic smartphone use was associated with increased anxiety (aOR = 2.03, 95% CI 1.28-3.23); depression (aOR = 2.96, 95% CI 1.80-4.86); and insomnia (aOR = 1.64, 95% CI 1.08-2.50). Screentime was not associated with anxiety (β = 0.99, 95% CI 0.91-1.08); or depression (β = 0.98, 95% CI 0.89-1.07). Problematic smartphone use had a significant direct, indirect and total effect on both anxiety and depression.

CONCLUSION

Problematic smartphone usage was associated with anxiety and depression, independent of screentime. Interventions are needed to reduce problematic use.

Evaluating the Effectiveness of Apps Designed to Reduce Mobile Phone Use and Prevent Maladaptive Mobile Phone Use: Multimethod Study

BACKGROUND

Mobile apps are a popular strategy for reducing mobile phone use and preventing maladaptive mobile phone use (MMPU). Previous research efforts have been made to understand the features of apps that have the potential to reduce mobile phone use and MMPU. However, there has been a lack of a comprehensive examination of the effectiveness of such apps and their features.

OBJECTIVE

This paper investigated existing apps designed to reduce mobile phone use and prevent MMPU and examined the evidence of their effectiveness. The research aimed to provide a comprehensive analysis of app features that can reduce mobile phone use and MMPU, while also assessing their effectiveness. In addition, we explored users' perceptions of these apps and the various features the apps offer to understand potential adoption issues and identify opportunities.

METHODS

This study used 3 methods: a review of scientific evidence, content analysis, and sentiment analysis.

RESULTS

Our study comprehensively examine the common features of 13 apps designed to reduce mobile phone use. We extracted and classified the features into 7 types: self-tracking, social tracking, goal setting, blocking, gamification, simplification, and assessment. The effectiveness of these apps in reducing mobile phone use and MMPU varied from weak to strong. On the basis of content analysis, self-tracking and goal setting were the most frequently used features, whereas gamification and assessment were used the least frequently. The intervention strategies that effectively reduce mobile phone use and MMPU included using grayscale mode, app limit features, and mixed interventions. Overall, users tended to accept these apps, as indicated by sentiment scores ranging from 61 to 86 out of 100.

CONCLUSIONS

This study demonstrates that app-based management has the potential to reduce mobile phone use and MMPU. However, further research is required to evaluate the effectiveness of app-based interventions. Collaborations among researchers, app developers, mobile phone manufacturers, and policy makers could enhance the process of delivering, evaluating, and optimizing apps aimed at reducing mobile phone use and MMPU.

The effect of smartphone use on mental effort, learning, and creativity

We argue that scientific studies have not directly assessed the key cognitive processes affected by smartphone use. We propose that smartphone use can be disruptively habitual, with the main detrimental consequence being an inability to exert prolonged mental effort. This inability might negatively affect real-life creativity and domain-specific knowledge acquisition.