Abstract
Purpose
The aim of the study was to determine the short-term longitudinal pathways between
smartphone use, smartphone dependency, depressive symptoms, and loneliness among late
adolescents.
Methods
A two-wave longitudinal survey was used using adolescents between the ages of 17 and
20 years. The interval between wave 1 and wave 2 was between 2.5 and 3 months. Using
convenience sampling, the total number of participants who completed both waves of
data collection was 346. Validated measures assessed smartphone dependency, smartphone
use, depressive symptoms, and loneliness. The longitudinal model was tested using
path modeling techniques.
Results
Among the 346 participants (33.6% male, mean [standard deviation] age at wave 1, 19.11
[.75] years, 56.9% response rate), longitudinal path models revealed that wave 1 smartphone
dependency predicted loneliness (β = .08, standard error [SE] = .05, p = .043) and depressive symptoms (β = .11, SE = .05, p = .010) at wave 2, loneliness at wave 1 predicted depressive symptoms at wave 2 (β =
.21, SE = .05, p < .001), and smartphone use at wave 1 predicted smartphone dependency at wave 2 (β =
.08, SE = .05, p = .011).
Conclusions
Considering the rates of smartphone ownership/use among late adolescents (95%), the
association between smartphone use and smartphone dependency, and the deleterious
effects of loneliness and depression within this population, health practitioners
should communicate with patients and parents about the links between smartphone engagement
and psychological well-being.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of Adolescent HealthAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Mobile fact sheet.(Available at:)http://www.pewinternet.org/fact-sheet/mobile/Date accessed: August 8, 2018
- Teens, social media & technology 2018.Pew Research Center, Washington, DC2018
- Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology.Emotion. 2018; 18: 765-780
- Smartphones are bad for some teens, not all.Nature. 2018; 554: 432-434
- The relationship between smartphone use for communication, social capital, and subjective well-being in Korean adolescents: Verification using multiple latent growth modeling.Child Youth Serv Rev. 2019; 96: 93-99
- Concurrent and subsequent associations between daily digital technology use and high-risk adolescents' mental health symptoms.Child Dev. 2018; 89: 78-88
- Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender.Comput Hum Behav. 2015; 45: 411-420
- Development of Korean smartphone addiction proneness scale for youth.PLoS One. 2014; 9: e97920
- Mobile phone dependency and its impacts on adolescents' social and academic behaviors.Comput Hum Behav. 2016; 63: 282-292
- Diagnostic and statistical manual of mental disorders (DSM-5).5th ed. American Psychiatric Association, Arlington, VA2013
- Problematic use of the mobile phone: A literature review and a pathways model.Curr Psychiatry Rev. 2012; : 299-307
- The role of urgency and its underlying psychological mechanisms in problematic behaviours.Behav Res Ther. 2010; 48: 1085-1096
- Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation.Psychiatry Res. 2018; 262: 618-623
- Depression and social anxiety in relation to problematic smartphone use: The prominent role of rumination.Internet Res. 2018; 28: 315-332
- Loneliness matters: A theoretical and empirical review of consequences and mechanisms.Ann Behav Med. 2010; 40: 218-227
- Suicidal ideation in adolescence: Depression, substance use, and other risk factors.J Youth Adolesc. 1991; 20: 289-309
- Psychosocial factors affecting smartphone addiction in university students.J Addict Nurs. 2017; 28: 215-219
- Distress tolerance and mindfulness mediate relations between depression and anxiety sensitivity with problematic smartphone use.Comput Hum Behav. 2018; 84: 477-484
- A longitudinal study of the association between compulsive Internet use and wellbeing.Comput Hum Behav. 2014; 36: 21-28
- Adolescent depression: Why more girls?.J Youth Adolesc. 1991; 20: 247-271
- A short-form measure of loneliness.J Pers Assess. 1987; 51: 69-87
- The CES-D scale: A self-report depression scale for research in the general population.Appl Psychol Meas. 1977; 1: 385-401
- Principles and practice of structural equation modeling.3rd ed. Guilford Press, New York, NY2010
- Mean centering helps alleviate “micro” but not “macro” multicollinearity.Behav Res Methods. 2016; 48: 1308-1317
- Internet paradox: A social technology that reduces social involvement and psychological well-being?.Am Psychol. 1998; 52: 1017-1031
- The quality of online social relationships.Commun ACM. 2002; 45: 103-108
- A unique problem or the manifestation of a preexisting disorder? The mediating role of problematic Internet use in the relationships between psychosocial problems and functional impairment.Communic Res. 2014; 41: 531-560
- Comparison of risk and protective factors associated with smartphone addiction and internet addiction.J Behav Addict. 2015; 4: 308-314
- Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology.J Affect Disord. 2017; 207: 251-259
- The smartphone difference.Pew Research Center, Washington, DC2015
- Smartphones and loneliness in love: Testing links between smartphone engagement, loneliness, and relational health.Psychol Pop Media Cult. 2019; https://doi.org/10.1037/ppm0000230
- Smartphone addiction: Linking loneliness,shyness, symptoms and patterns of use to social capital.Soc Sci Comput Rev. 2013; 41: 159-176
- Chinese university students' loneliness and generalized pathological internet use: A longitudinal cross-lagged analysis.Soc Behav Personal Int J. 2018; 46: 861-870
- Loneliness, social contacts and Internet addiction: A cross-lagged panel study.Comput Hum Behav. 2014; 30: 164-170
- A power primer.Psychol Bull. 1992; 112: 155-159
- Should it stay or should it go now? Smartphones and relational health.Psychol Pop Media Cult. 2018; 7: 384-395
- A study of stressors in the college student population.Health Educ. 1981; 12: 8-12
- Problematic internet use two decades later: Apps to wean us off apps.CNS Spectr. 2019; 24: 371-373
Article info
Publication history
Published online: August 31, 2019
Accepted:
June 5,
2019
Received:
January 17,
2019
Footnotes
Conflicts of interest: The authors have no conflicts of interest to disclose.
Identification
Copyright
© 2019 Society for Adolescent Health and Medicine. All rights reserved.