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Factors Influencing Smartphone Addiction in Adolescents
Child Health Nursing Research ; : 525-533, 2017.
Article in Korean | WPRIM | ID: wpr-220609
ABSTRACT

PURPOSE:

The purpose of this study was to verify the relationship among depression, school adjustment, parent-child bonding, parental control and smartphone addiction, and to identify factors which influence smartphone addiction in adolescents.

METHODS:

A cross-sectional design was used, with a convenience sample of 183 middle school students from 3 middle schools. Data collection was conducted through self-report questionnaires from April to May, 2017. Data were analyzed using χ² test, Fisher's exact test, t-test, one-way ANOVA, correlation coefficient analysis, and binary logistic regression with SPSS Ver. 21.0.

RESULTS:

The mean score for smartphone addiction was 29.40. Of the adolescents, 21.3% were in the smartphone addiction risk group. Logistic regression analysis showed that gender (OR=7.09, 95% Cl 2.57~19.52), school life (OR=0.86, 95% Cl 0.79~0.93), smartphone usage time (OR=1.32, 95% Cl 1.04~1.66), and parental control (OR=4.70, 95% Cl 1.04~21.29) were effect factors for the smartphone addiction risk group.

CONCLUSION:

Findings indicate that school satisfaction was an important factor in adolescents' smartphone addiction. Control oriented parent management of adolescents' smartphone use did not reduce the risk of smartphone addiction and may have worsen the addiction. Future research is needed to improve understanding of how teachers and parents will manage their adolescents' use of smartphones.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Parents / Logistic Models / Data Collection / Behavior, Addictive / Depression / Smartphone Type of study: Prognostic study / Risk factors Limits: Adolescent / Humans Language: Korean Journal: Child Health Nursing Research Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Parents / Logistic Models / Data Collection / Behavior, Addictive / Depression / Smartphone Type of study: Prognostic study / Risk factors Limits: Adolescent / Humans Language: Korean Journal: Child Health Nursing Research Year: 2017 Type: Article