2018
DOI: 10.1016/j.anr.2018.03.002
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A Structural Equation Model on Korean Adolescents' Excessive Use of Smartphones

Abstract: We suggest that nursing intervention programs from various angles are required to reduce adolescents' excessive use of smartphones. For example, family communication programs would be helpful for both parents and children. Consultant programs about friend relationship also meaningful for the program.

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Cited by 21 publications
(19 citation statements)
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References 15 publications
(22 reference statements)
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“…The main factors predicting excessive smartphone use were being female, preoccupation, conflict, and use for ubiquitous trait whereas the protective factor was use for learning (4). Excessive use of smartphones was correlated with impairment in the function of the family and relationship with friends, impulsiveness, and low self-esteem in South Korean adolescents (5). Finally, smartphone gaming was associated with excessive smartphone use among adolescents (6).…”
Section: Predictors Of Excessive Smartphone-usementioning
confidence: 90%
“…The main factors predicting excessive smartphone use were being female, preoccupation, conflict, and use for ubiquitous trait whereas the protective factor was use for learning (4). Excessive use of smartphones was correlated with impairment in the function of the family and relationship with friends, impulsiveness, and low self-esteem in South Korean adolescents (5). Finally, smartphone gaming was associated with excessive smartphone use among adolescents (6).…”
Section: Predictors Of Excessive Smartphone-usementioning
confidence: 90%
“…Previous studies have cautiously suggested that problematic smartphone use is related to overuse as well as problems with social relationships and academic achievement. 5,9,10 According to a South Korean study that surveyed smartphone dependency and health habits, exposure to harmful social media was associated with smoking, drinking, and the consumption of unhealthy food. 11,12 Use duration and use for the purpose of communication are closely related to problematic smartphone use 13 and health problems.…”
Section: Introductionmentioning
confidence: 99%
“…Maximum likelihood (ML) was employed in the model evaluation, since there was no problem with univariate normality and the data was normally distributed. 58 , 59 , 61 The goodness of fit indices (GOFIs) was tested using the different parameters, as outlined in Table 4 . 62 The majority of the GOFIs failed to pass the minimum requirement.…”
Section: Resultsmentioning
confidence: 99%