An Intervention Utilizing the Salience Principle to Reduce Pharmacy Students' Psychological Attraction to Smartphones

Digital Detox and Well-Being

In a May 2023 advisory, the US Surgeon General raised concerns about the effects of social media use on well-being. One implied strategy to reduce its impact is abstaining from digital media use. This state-of-the-art review summarizes the most recent studies on reducing or abstaining from digital media use, including social media (ie, "digital detox") and its effect on well-being to inform parents, educators, schools, policymakers, and the public when taking action. In June 2023, we conducted a literature search in Google Scholar, PubMed, and ScienceDirect. We included reviews and original research articles (1) focusing on interventions to reduce screen time/social media time and (2) its impact on/association with well-being. We summarized the key points of the 2 published reviews and 6 articles (published between 2013 and 2023), including 139 articles in total. Our main findings are: there is no clear definition of digital detox and no consistency in the assessment of interventions' effectiveness;reducing social media/smartphone time rather than promoting total abstinence showed more beneficial effects on well-being;the effect of the interventions and their duration varies depending on the type of outcome; andthe effects are influenced by gender, age, and contextual factors. Available evidence on interventions aiming at reducing social media use on well-being is limited, leaving no clear implications for policymaking at this point. More empirical, high-quality research is needed to understand the circumstances under which digital detox interventions are helpful and for whom.

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 Relationship Between Social Media Use and Negative Emotions Among Chinese Medical College Students: The Mediating Role of Fear of Missing Out and the Moderating Role of Resilience

Objective

This study aimed to examine the mediating role of fear of missing out (FoMO) and the moderating role of resilience in the association between social media use and negative emotions among medical college students in China during the COVID-19 pandemic.

Participants and Methods

A cross-sectional study design was conducted, medical college students from Qiqihar Medical University, China participated in the study. A total of 470 medical college students were recruited voluntarily to complete questionnaires on social media use, FoMO, resilience, and negative emotions.

Results

Social media use was positively associated with FoMO and negative emotions among medical students (p < 0.01). The total effect of social media use on negative emotions was significant (β = 1.101, SE = 0.079, p < 0.001). Social media use had no significant direct effect on negative emotions (β = 0.168, SE = 0.096, p > 0.05), but it had an indirect effect on negative emotions via mediation of FoMO (β = 0.933, SE = 0.106, 95% CI: 0.731 to 1.149). Moreover, resilience had a significant moderating effect on the relationship between FoMO and negative emotions (β = -0.021, SE = 0.005, 95% CI: -0.032 to -0.012). FoMO had a significant positive predictive effect on negative emotions at both levels of resilience (low resilience individuals: β = 1.079, SE = 0.076, p < 0.001; high resilience individuals: β = 0.212, SE = 0.094, p < 0.05).

Conclusion

Social media use and FoMO may be risk factors for increased negative emotions, and resilience should be considered in prevention and intervention strategies designed to mitigate negative emotions among medical college students.

Insights into Non-Exercise Physical Activity on Control of Body Mass: A Review with Practical Recommendations

Non-exercise physical activity (NEPA), also called unstructured or informal physical activity, refers to those daily activities that require movement of the human body without planning or strict control of the physical effort made. Due to new technologies and motorized transportation devices, the general population has significantly decreased its NEPA. This increase in sedentary lifestyles, physical inactivity, and excessive energy intake is considered a risk factor for obesity, non-communicable diseases (NCDs), and all-cause mortality. Searching in PubMed/MEDLINE and Web of Science databases, a narrative review of NEPA was carried out to address its conceptualization, promotion strategies for the general population, and monitoring through wearable devices. It is strongly recommended that governmental entities, health practitioners, and the construction industry adhere to "The Global Action Plan on Physical Activity 2018-2030: More Active People for a Healthier World" and implement different salutogenic urban strategies. These strategies aim to generate environments that motivate increases in NEPA, such as cycling and walking transportation (between 5000-12,500 steps per day), and the progression to physical exercise. There is a wide variety of electronic devices for personal use, such as accelerometers, smartphone apps, or "smart clothes", that allow for the monitoring of NEPA, some with a wide range of analysis variables contributing to the estimation of total daily energy expenditure and the promotion of healthy habits. In general, the further promotion and monitoring of NEPA is required as part of a strategy to promote healthy habits sustainable over time for the prevention and control of obesity and NCDs.

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

Problematic smartphone use is rising across the world. We tested an intervention with ten strategies that nudge users to reduce their smartphone use, for example by disabling non-essential notifications and changing their display to greyscale. Participants first completed baseline measures of smartphone use, well-being, and cognition before choosing which intervention strategies to follow for 2 to 6 weeks. Study 1 ( N = 51 ) used a pre-post design while study 2 ( N = 70 ) compared the intervention to a control group who monitored their screen time. Study 1 found reductions in problematic smartphone use, screen time, and depressive symptoms after 2 weeks. Study 2 found that the intervention reduced problematic smartphone use, lowered screen time, and improved sleep quality compared to the control group. Our brief intervention returned problematic smartphone use scores to normal levels for at least 6 weeks. These results demonstrate that various strategies can be combined while maintaining feasibility and efficacy.