STRESS

Original Articles

Future Orientation’s Influence on Smartphone Overdependence among Out-of-School Adolescents: Focusing on the Moderated Mediation Effect of Depression by Parental Emotional Support: RaeHyuck Lee; STRESS. 2022;30(4):213-220. Published online December 30, 2022; DOI: https://doi.org/10.17547/kjsr.2022.30.4.213

Abstract PDF: Background
This study aimed to examine the influence of future orientation on smartphone overdependence through depression among out-of-school adolescents and the moderated mediation effect of parental emotional support.
Methods
This study analyzed data from the Panel Survey of School Dropouts with the Process macro Models 4 and 14.
Results
First, out-of-school adolescents’ future orientation negatively influenced smartphone overdependence. Second, out-of-school adolescents’ depression partially mediated the influence of future orientation on smartphone overdependence. Third, out-of-school adolescents’ parental emotional support moderated the mediation effect of future orientation on smartphone overdependence through depression.
Conclusions
The results suggest ways to manage smartphone overdependence among out-of-school adolescents.

Factors Affecting Smartphone Overdependence among Older Adults: Ji-Eun Park, Nayoon Lee; STRESS. 2022;30(1):37-44. Published online March 31, 2022; DOI: https://doi.org/10.17547/kjsr.2022.30.1.37

Abstract PDF: Background
This study aimed to identify the factors affecting smartphone overdependence among older adults.
Methods
A cross-sectional descriptive study was conducted with 179 older adults using smartphones in B metropolitan city. A multiple regression analysis was performed to identify the effect of physical activity, social support, and depression on smartphone overdependence.
Results
Factors that affect smartphone overdependence among the participants were as follows: (a) purpose of using smartphone (β=.23, p=.001), (b) age (β=.23, p=.002), (c) smartphone use time (β=.20, p=.004), (d) educational level (β=−.15, p=.027), and (e) social support (β=−.14, p=.048). The model explained for 19.0% (F=9.30, p＜.001).
Conclusions
The findings of this study can be used as evidence to develop intervention programs and policy measures to prevent and manage smartphone overdependence, which has negative effects on the physical and mental health of older adults.

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