Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps

Mobile app measuring sleep and behaviors: A trial in adolescents with addiction

INTRODUCTION

The smartphones generalisation allows the development of attractive "real-life" monitoring tools for care and research enabling the measurement of addictive behaviours and comorbidities such as sleep disorders. The study objective was to assess the interest of a mobile app collecting such information among adolescents with addictive behaviours in order to enhance the availability of behavioural data in consultation.

METHODS

An open label randomised pilot study was held along two parallel arms. The patients randomised to the intervention group (n=18) used a mobile app to provide daily data for 15 days relating to their sleep and their behaviour (addictive behaviours with or without substances). The patients in the control group (n=18) used a paper diary allowing the collection of the same data, only the medium differed.

RESULTS

The patients' median age was 16 years [15.0-16.5]. A median of 67% and 10% of the expected information was completed respectively in the intervention and control groups during the 15 days of follow-up and could be used in consultation (P=0.08). The patient's knowledge, attitudes, intentions to change, behaviour change and seeking help related to the use of the diaries appeared higher in the intervention group (20.5/30) than in the control group (11/20).

CONCLUSION

This study described the high patient compliance with the data collection by means of the app. The diary app seems to have been more impactful for patients than the paper diary. This app could represent an important tool to improve the therapeutic alliance and care due to a better knowledge of the behaviours on the part of the clinician but also a better awareness of the patients themselves.

Understanding the construction of 'behavior' in smartphone addiction: A scoping review

It has been claimed that smartphone usage constitutes a behavioral addiction, characterised by compulsive, excessive use of one's phone and psychological withdrawal or distress when the phone is absent. However, there is uncertainty about key phenomenological and conceptual details of smartphone addiction. One of the central problems has been understanding the processes that link smartphone usage, and addiction. The question this paper aims to answer is straightforward: based on measures utilised in the literature, what does 'behavior' mean in the context of smartphone addiction? A scoping review of the smartphone addiction literature was undertaken. This identified 1305 studies collecting smartphone addiction data. Just under half (49.89%) of all published smartphone addiction papers did not report the collection of any smartphone specific behaviors. Those that did tended to focus on a small cluster of self-reported behaviors capturing volume of overall use: hours spent using a smartphone per day, number of pickups, duration of smartphone ownership, and types of app used. Approximately 10% of papers used logged behavioral data on phones. Although the theoretical literature places increasing focus on context and patterns of use, measurements of behavior tend to focus on broad, volumetric measures. The number of studies reporting behavior has decreased over time, suggesting smartphone addiction is becoming increasingly trait-like. Both major phone operating systems have proprietary apps that collected behavioral data by default, and research in the field should take advantage of these capabilities when measuring smartphone usage.

Prospective Association between Smartphone Addiction and Perceived Stress and Moderation of Boredom during COVID-19 in China

Smartphone addiction (SPA) is prevalent in college students and harms their healthy development, and perceived stress (PS) has been a well-documented risk factor of SPA. People often experienced boredom during COVID-19; however, its effect on behavioral/mental health during the pandemic has been rarely tested. We investigated the prospective association between SPA and PS before and during COVID-19, as well as the moderation of boredom. A total of 197 college students participated in four-wave surveys from December 2018 to June 2020 in China. The cross-lagged model was developed to investigate the prospective association between SPA and PS from T1 to T4. Boredom was added to the model at T4 as a moderator to explore the moderating role of boredom during COVID-19. The results showed that the pandemic changed PS's prediction on SPA. During COVID-19, boredom significantly affected SPA and PS and moderated the link from PS at T3 to PS at T4. The results suggest that the prospective associations between SPA and PS varied before and during COVID-19. Prevention of SPA should be conducted for new students and should be used to enhance their stress coping capacity. Intervention programs for eliminating boredom may be effective for reducing stress and SPA during COVID-19.

The association between academic achievement, psychological distress, and smartphone addiction: A cross-sectional study among medical students

This study investigates the relationship between academic achievement, psychological distress, and smartphone addiction in medical students. In total, 513 medical students voluntarily completed a survey that included the Personal Information Questionnaire, the Smartphone Addiction Scale-Short Version (SAS-SV), the Depression, Anxiety and Stress Scale (DASS-21), and the Interaction Anxiousness Scale (IAS). Results showed that 321 participants were screened positive for smartphone addiction and the prevalence of smartphone addiction was 62.6%. We found that the prevalence of smartphone addiction was higher among male rather than female students (67.1% vs 58.2%; p = 0.039). There were significant differences between the smartphone addiction group and the smartphone non-addiction group as per the DASS-21 scores and the IAS scores. In addition, multiple regression indicated that psychological distress including anxiety, stress, depression, and social anxiety might be the predictors of smartphone addiction. However, smartphone addiction was found to have no significant correlation with academic performance in 274 undergraduate medical students. In conclusion, the study revealed the high prevalence of smartphone addiction in medical students. Smartphone addiction was associated with states of depression, anxiety, stress, and social anxiety, and there was no significant relationship between academic performance and smartphone addiction in undergraduate medical students. Further longitudinal research is needed to clarify the causal relationship between smartphone addiction and psychological distress.

Factor structure of ten psychoactive substance addictions and behavioural addictions

Over the past two decades, many problematic/excessive behaviours have increasingly been conceptualized as addictions due to their similarity with more traditional psychoactive substance addictions. The primary aim of the present study was to simultaneously examine the factor structure of three psychoactive substance addictions (alcohol use, cigarette smoking, and substance use) and seven behavioural addictions (sex, social media use, shopping, exercise, online gambling, internet gaming, and internet use), using exploratory factor analysis (EFA; N = 481) and confirmatory factor analysis (CFA; N = 487). A total of 968 participants completed an online survey including ten psychometric scales assessing the ten different potentially addictive behaviours. EFA supported a two-factor solution, with different factors for the psychoactive substance and behavioural addictions (excluding exercise addiction). CFA supported the two-factor model in a separate sample. There was good support for the concurrent and discriminant validities of the CFA latent factors and the reliability of the behavioural latent factor in the two-factor CFA model. While there was support for the concurrent and discriminant validities of the psychoactive substance latent factor, there was insufficient support for its reliability. The taxonomic, theoretical, and clinical implications of the findings are discussed.

Fear of missing out (FoMO) and internet use: A comprehensive systematic review and meta-analysis

BACKGROUND AND AIMS

FoMO has been considered a predisposing factor toward excessive internet use, and a great deal of literature has investigated the link between FoMO and internet use. However, there is still a lack of cohesion in the literature.

METHODS

The current study have been conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

RESULTS

In the current systematic review and meta-analysis of 86 effect-sizes, representative of 55,134 participants (Mean age = 22.07, SD = 6.15, females = 58.37%), we found that the strength of the trait FoMO- internet use association significantly varies from r = 0.11 to r = 0.63. In some populations, FoMO appears to increase with age and it is reverse in other populations. Facebook use was unrelated to FoMO in some populations, and higher FoMO was linked with stopping Instagram use for some individuals. The FoMO- internet use association was independent of their severity, as the interaction was not significant, and this association was neither linear nor curvilinear. The FoMO-internet use association does not appear to be associated with depressive, anxiety, and stress symptoms or level of life satisfaction. The COVID-19 pandemic was the only significant moderator of the FoMO-internet use association, strengthening this relationship.

DISCUSSION AND CONCLUSIONS

FoMO demonstrates a considerable role in internet use; however, there is no evidence of interaction or bi-directional association between the mentioned. Overall, we still don't know what factors contribute to individuals exhibiting distinct patterns in the FoMO-internet use association.