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    수정된 문제행동이론에 근거한 대학생의 스마트폰 과의존 위험행위 구조모형 = A Structural Equation Model for Smartphone Overdependence Risk Behavior among College Students based on the Modified Problem Behavior Theory

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    https://www.riss.kr/link?id=A109945405

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    This study aimed to investigate the relationship between factors influencing smartphone over-reliance risk behaviors in college students based on the modified Problem Behavior Theory (PBT). To this end, the following measurement tools were used: self-esteem was measured using Rosenberg's (1965) scale, FoMO was measured using Przybylski et al.'s (2013) scale, social support was measured using Zimet et al.'s (1988) scale, interpersonal skills were measured using Park et al.'s (2017) scale, and smartphone over-reliance risk behavior was measured using the National Information Society Agency's (2016) scale. This study was conducted from May 27 to September 30, 2021, through an online self-reported survey of 791 college students in their 20s. The study results showed that the incidence of smartphone over-dependence risk behavior was higher among female students, upperclassmen, and students with a high drinking frequency. In addition, Fear of Missing Out (FoMO) was found to be a factor that increases smartphone overreliance (standardized coefficient=.28, p<.001), and social support (standardized coefficient=-.10, p=.009) and interpersonal skills(standardized coefficient=-.12, p=.013) were identified as protective factors that reduce it. In addition, the lower the self-esteem, the higher the FoMO level, and interpersonal skills played a moderating role in the effect of FoMO on smartphone overreliance (standardized coefficient=.10, p=.027).This suggests that not only do risk and protective factors directly influence smartphone overreliance among college students, but that protective factors also exert a moderating effect on smartphone overreliance. Therefore, preventing and managing smartphone overreliance among college students requires intervention strategies that consider risk and protective factors, as well as their moderating effects.This study is significant in that it comprehensively presents factors influencing smartphone overreliance among college students by applying the modified PBT theory, which has rarely been applied in previous studies, to college students and identifying the moderating effect of protective factors.
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    This study aimed to investigate the relationship between factors influencing smartphone over-reliance risk behaviors in college students based on the modified Problem Behavior Theory (PBT). To this end, the following measurement tools were used: self-...

    This study aimed to investigate the relationship between factors influencing smartphone over-reliance risk behaviors in college students based on the modified Problem Behavior Theory (PBT). To this end, the following measurement tools were used: self-esteem was measured using Rosenberg's (1965) scale, FoMO was measured using Przybylski et al.'s (2013) scale, social support was measured using Zimet et al.'s (1988) scale, interpersonal skills were measured using Park et al.'s (2017) scale, and smartphone over-reliance risk behavior was measured using the National Information Society Agency's (2016) scale. This study was conducted from May 27 to September 30, 2021, through an online self-reported survey of 791 college students in their 20s. The study results showed that the incidence of smartphone over-dependence risk behavior was higher among female students, upperclassmen, and students with a high drinking frequency. In addition, Fear of Missing Out (FoMO) was found to be a factor that increases smartphone overreliance (standardized coefficient=.28, p<.001), and social support (standardized coefficient=-.10, p=.009) and interpersonal skills(standardized coefficient=-.12, p=.013) were identified as protective factors that reduce it. In addition, the lower the self-esteem, the higher the FoMO level, and interpersonal skills played a moderating role in the effect of FoMO on smartphone overreliance (standardized coefficient=.10, p=.027).This suggests that not only do risk and protective factors directly influence smartphone overreliance among college students, but that protective factors also exert a moderating effect on smartphone overreliance. Therefore, preventing and managing smartphone overreliance among college students requires intervention strategies that consider risk and protective factors, as well as their moderating effects.This study is significant in that it comprehensively presents factors influencing smartphone overreliance among college students by applying the modified PBT theory, which has rarely been applied in previous studies, to college students and identifying the moderating effect of protective factors.

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