Using Machine Learning to Explore the Risk Factors of Problematic Smartphone Use among Canadian Adolescents during COVID-19: The Important Role of Fear of Missing Out (FoMO)

The goal of the present study was to use machine learning to identify how gender, age, ethnicity, screen time, internalizing problems, self-regulation, and FoMO were related to problematic smartphone use in a sample of Canadian adolescents during the COVID-19 pandemic. Participants were N = 2527 (1269 boys;Mage = 15.17 years, SD = 1.48 years) high school students from the Lower Mainland of British Columbia, Canada. Data on problematic smartphone use, screen time, internalizing problems (e.g., depression, anxiety, and stress), self-regulation, and FoMO were collected via an online questionnaire. Several different machine learning algorithms were used to train the statistical model of predictive variables in predicting problematic smartphone use. The results indicated that Shrinkage algorithms (lasso, ridge, and elastic net regression) performed better than other algorithms. Moreover, FoMO, emotional, and cognitive self-regulation made the largest relative contribution to predicting problematic smartphone use. These findings highlight the importance of FoMO and self-regulation in understanding problematic smartphone use.

Should We Be Worried about Smartphone Addiction? An Examination of Canadian Adolescents' Feelings of Social Disconnection in the Time of COVID-19.

As the COVID-19 global pandemic limited face-to-face social contact, mental health concerns increased for adolescents. Additionally, many adolescents turned to technology to communicate with their peers, which also raised concerns about adolescent smartphone addiction. However, research has yet to examine how mental health and technology engagement are related to adolescents' feelings of social connection-an important developmental predictor of wellbeing across the lifespan. Specifically, little is known regarding the relative risk of adolescents' mental health concerns, a known risk factor for social disconnection and isolation and smartphone addiction in contributing to feelings of social disconnection in the time of COVID-19. The present study investigated how mental health outcomes and smartphone addiction contributed to Canadian adolescents' (n = 1753) feelings of social disconnection during COVID-19. Between October 2020 and May 2021, data were collected from five secondary schools in and around the lower mainland of British Columbia using an online-administered self-report questionnaire. Adolescents responded to questions about their smartphone addiction, internalizing problems, and an open-ended question about their feelings of connection to others. Findings from logistic regression analyses indicated that depression was a predictor of feeling socially disconnected: however, smartphone addiction was not associated with feelings of social disconnection during COVID-19. Implications of these findings can help inform the development of prevention programs targeting adolescents at risk for social disconnection in times of increased social isolation (e.g., a global pandemic). Specifically, these findings suggest that adolescents higher in depressive symptoms, and not those higher in smartphone addiction, are the ones most at risk.

Social Disconnection During COVID-19: The Role of Attachment, Fear of Missing Out, and Smartphone Use.

This mixed-methods study explored adolescents' (n = 682) feelings of social connection in the time of the COVID-19 pandemic and examined potential risk (fear of missing out, problematic smartphone use) and protective (parent/peer attachment, smartphone use) factors to social disconnection. Data were collected from two schools in Canada using an online survey with questionnaires and open-ended questions. Three themes regarding adolescents' feelings of social connection during the pandemic were identified through thematic content analysis: (1) feeling socially connected, (2) feeling socially disconnected, and (3) feeling socially indifferent. Moreover, regression analysis identified secure peer attachments as a protective factor against social disconnection in the time of the COVID-19 pandemic, while fear of missing out was identified as an independent risk factor.