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.

[1]  N. Parizad,et al.  Loneliness and academic performance mediates the relationship between fear of missing out and smartphone addiction among Iranian university students , 2022, BMC Psychiatry.

[2]  M. A. Gaíva,et al.  Relationship between Lifestyle and Self-Reported Smartphone Addiction in adolescents in the COVID-19 pandemic: A mixed-methods study , 2022, Journal of Pediatric Nursing.

[3]  E. Kemps,et al.  Online media consumption and depression in young people: A systematic review and meta-analysis , 2021, Comput. Hum. Behav..

[4]  Bisi Adewale,et al.  Impact of the COVID-19 Pandemic on Adolescents’ Sexual and Reproductive Health in Low- and Middle-Income Countries , 2021, International journal of environmental research and public health.

[5]  M. Griffiths,et al.  The association between fear of Covid-19 and smartphone addiction among individuals: the mediating and moderating role of cyberchondria severity , 2021, Current Psychology.

[6]  T. Poulain,et al.  Associations between changes in behavioral difficulties and levels of problematic smartphone use in adolescents over a 1-year period , 2021, European Child & Adolescent Psychiatry.

[7]  I. chen,et al.  The association between problematic internet use, psychological distress, and sleep problems during COVID-19 , 2021, Sleep Epidemiology.

[8]  Tianyou Guo,et al.  Prevalence and Associated Factors of Problematic Smartphone Use During the COVID-19 Pandemic: A Bangladeshi Study , 2021, Risk management and healthcare policy.

[9]  Jennifer D. Shapka,et al.  Social Disconnection During COVID‐19: The Role of Attachment, Fear of Missing Out, and Smartphone Use , 2021, Journal of research on adolescence : the official journal of the Society for Research on Adolescence.

[10]  M. Griffiths,et al.  Social comparison orientation and fear of missing out as mediators between self-concept clarity and problematic smartphone use. , 2021, Addictive Behaviours.

[11]  Lailil Fatkuriyah,et al.  The Relationship among Parenting Style, Self-Regulation, and Smartphone Addiction Proneness in Indonesian Junior High School Students , 2021, IJNP (Indonesian Journal of Nursing Practices).

[12]  Haibo Yang,et al.  Stress and Problematic Smartphone Use Severity: Smartphone Use Frequency and Fear of Missing Out as Mediators , 2021, Frontiers in Psychiatry.

[13]  Y. Liao,et al.  Social media use in China before and during COVID-19: Preliminary results from an online retrospective survey , 2021, Journal of Psychiatric Research.

[14]  G. Corsello,et al.  Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents , 2021, Italian Journal of Pediatrics.

[15]  H. Farhadi,et al.  Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: a systematic review , 2021, Journal of addictive diseases.

[16]  K. Thomas,et al.  Smartphone Screen Time: Inaccuracy of self-reports and influence of psychological and contextual factors , 2021, Comput. Hum. Behav..

[17]  Hafiza Rabia Akram,et al.  Depression and anxiety symptoms are associated with problematic smartphone use under the COVID-19 epidemic: The mediation models , 2020, Children and Youth Services Review.

[18]  Jeromy Anglim,et al.  Emotion Regulation Difficulties, Personality, and Problematic Smartphone Use , 2020, Cyberpsychology Behav. Soc. Netw..

[19]  Evan J. White,et al.  The Impact of COVID-19 on Adolescent Mental Health: Preliminary Findings From a Longitudinal Sample of Healthy and At-Risk Adolescents , 2020, Frontiers in Pediatrics.

[20]  Stephen McCarthy,et al.  Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area , 2020, Comput. Hum. Behav..

[21]  Mehmet Kara,et al.  Duration of daily smartphone usage as an antecedent of nomophobia: exploring multiple mediation of loneliness and anxiety , 2019, Behav. Inf. Technol..

[22]  J. Elhai,et al.  Applying fairness in labeling various types of internet use disorders. • , 2020, Journal of behavioral addictions.

[23]  M. Potenza,et al.  Panic and generalized anxiety during the COVID-19 pandemic among Bangladeshi people: An online pilot survey early in the outbreak , 2020, Journal of Affective Disorders.

[24]  V. Steeves,et al.  “I’ll use it differently now”: using dual-systems theory to explore youth engagement with networked technologies , 2020, Canadian Journal of Public Health.

[25]  Shutao Ma,et al.  Childhood Maltreatment and Mobile Phone Addiction Among Chinese Adolescents: Loneliness as a Mediator and Self-Control as a Moderator , 2020, Frontiers in Psychology.

[26]  Daniel L. King,et al.  Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance , 2020, Comprehensive Psychiatry.

[27]  S. Casale,et al.  Interpersonally-Based Fears During the Covid-19 Pandemic: Reflections on the Fear of Missing Out and the Fear of Not Mattering Constructs , 2020, Clinical neuropsychiatry.

[28]  M. A. Fabris,et al.  Investigating the links between fear of missing out, social media addiction, and emotional symptoms in adolescence: The role of stress associated with neglect and negative reactions on social media. , 2020, Addictive behaviors.

[29]  G. Lo Coco,et al.  Examining bi-directionality between Fear of Missing Out and problematic smartphone use. A two-wave panel study among adolescents. , 2020, Addictive behaviors.

[30]  J. Elhai,et al.  Depression, anxiety and fear of missing out as correlates of social, non-social and problematic smartphone use. , 2020, Addictive behaviors.

[31]  A. Vannucci,et al.  Social media use and risky behaviors in adolescents: A meta-analysis. , 2020, Journal of adolescence.

[32]  D. Vogel,et al.  Examining the Dimensionality, Reliability, and Invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) Across Eight Countries , 2020, Assessment.

[33]  Qiufeng Gao,et al.  Parent-child relationship and smartphone use disorder among Chinese adolescents: The mediating role of quality of life and the moderating role of educational level. , 2020, Addictive behaviors.

[34]  C. Montag,et al.  Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out. , 2019, Addictive behaviors.

[35]  Hatice Yildiz Durak,et al.  Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance , 2019 .

[36]  Joël Billieux,et al.  Problematic smartphone use: An empirically validated model , 2019, Comput. Hum. Behav..

[37]  David Edmund Johannes Linden,et al.  Identifying Indicators of Smartphone Addiction Through User-App Interaction , 2019, Comput. Hum. Behav..

[38]  T. Robbins,et al.  The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors , 2019, Neuroscience & Biobehavioral Reviews.

[39]  John D. Kelleher.  Deep Learning , 2019 .

[40]  Yabit Alas,et al.  Smartphone addictions and nomophobia among youth , 2019, Vulnerable Children and Youth Studies.

[41]  Jennifer D. Shapka.  Adolescent technology engagement: It is more complicated than a lack of self‐control , 2019, Human Behavior and Emerging Technologies.

[42]  Chiung-Hui Chiu,et al.  Children's use of mobile devices, smartphone addiction and parental mediation in Taiwan , 2019, Comput. Hum. Behav..

[43]  M. Griffiths,et al.  The role of childhood emotional maltreatment and body image dissatisfaction in problematic smartphone use among adolescents , 2019, Psychiatry Research.

[44]  C. Montag,et al.  Linking Internet Communication and Smartphone Use Disorder by taking a closer look at the Facebook and WhatsApp applications , 2018, Addictive behaviors reports.

[45]  Jon D. Elhai,et al.  Fear of missing out: Testing relationships with negative affectivity, online social engagement, and problematic smartphone use , 2018, Comput. Hum. Behav..

[46]  Maria Anca Maican,et al.  Assessing the smartphone addiction risk and its associations with personality traits among adolescents , 2018, Children and Youth Services Review.

[47]  Dmitri Rozgonjuk,et al.  The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week , 2018, Comput. Hum. Behav..

[48]  Nicola Hughes,et al.  Sleeping with the frenemy: How restricting 'bedroom use' of smartphones impacts happiness and wellbeing , 2018, Comput. Hum. Behav..

[49]  Ju Yeon Kwak,et al.  Effect of parental neglect on smartphone addiction in adolescents in South Korea. , 2018, Child abuse & neglect.

[50]  Justin W. Weeks,et al.  Depression and emotion regulation predict objective smartphone use measured over one week , 2017, Personality and Individual Differences.

[51]  Sung-Man Bae,et al.  The relationship between the type of smartphone use and smartphone dependence of Korean adolescents: National survey study , 2017 .

[52]  Jon D. Elhai,et al.  PTSD's relation with problematic smartphone use: Mediating role of impulsivity , 2017, Comput. Hum. Behav..

[53]  Zira Hichy,et al.  Italian Validation of Smartphone Addiction Scale Short Version for Adolescents and Young Adults (SAS-SV) , 2017 .

[54]  Chang-ho Lee,et al.  Prevalence and predictors of smartphone addiction proneness among Korean adolescents , 2017 .

[55]  Mark Smith,et al.  Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap , 2016, Comput. Hum. Behav..

[56]  P. Kendall,et al.  Fear and Missing Out: Youth Anxiety and Functional Outcomes , 2016 .

[57]  Karen McKenzie,et al.  How "phubbing" becomes the norm: The antecedents and consequences of snubbing via smartphone , 2016, Comput. Hum. Behav..

[58]  Hwanjo Yu,et al.  Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control , 2016, PloS one.

[59]  Asli Enez Darcin,et al.  Smartphone addiction and its relationship with social anxiety and loneliness , 2016, Behav. Inf. Technol..

[60]  Maya Samaha Rupert,et al.  Relationships among smartphone addiction, stress, academic performance, and satisfaction with life , 2016, Comput. Hum. Behav..

[61]  James A. Roberts,et al.  I need my smartphone: A hierarchical model of personality and cell-phone addiction , 2015 .

[62]  S. Zubrick,et al.  Bias in Student Survey Findings from Active Parental Consent Procedures. , 2015 .

[63]  Louis Leung,et al.  Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital , 2015 .

[64]  K. Shin,et al.  Emotional and Behavioral Problems Related to Smartphone Overuse in Elementary School Children , 2014 .

[65]  Chun-Tuan Chang,et al.  The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress , 2014, Comput. Hum. Behav..

[66]  Andrew K. Przybylski,et al.  Motivational, emotional, and behavioral correlates of fear of missing out , 2013, Comput. Hum. Behav..

[67]  Joël Billieux,et al.  Problematic Use of the Mobile Phone: A Literature Review and a Pathways Model , 2012 .

[68]  K. Anders Ericsson,et al.  Deliberate Practice Spells Success : Why Grittier Competitors Triumph at the National Spelling Bee , 2010 .

[69]  A. Sourander,et al.  Psychosocial risk factors associated with cyberbullying among adolescents: a population-based study. , 2010, Archives of general psychiatry.

[70]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[71]  M. Schoeny,et al.  Do Participation Rates Change when Active Consent Procedures Replace Passive Consent , 2001, Evaluation review.

[72]  S. Novak,et al.  The influence of school environment and self-regulation on transitions between stages of cigarette smoking: a multilevel analysis. , 2001, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[73]  R. Baumeister,et al.  The need to belong: desire for interpersonal attachments as a fundamental human motivation. , 1995, Psychological bulletin.

[74]  P. Lovibond,et al.  The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. , 1995, Behaviour research and therapy.