Smartphone Addiction: (Focused Depression, Aggression and Impulsion) among College Students

Kim, Mi ok; Kim, Heejeong; Kim, Kyung-Sook; Ju, Sejin; Choi, Jung‐Hyun; Yu, Mi

doi:10.17485/ijst/2015/v8i25/80215

Cited by 54 publications

(43 citation statements)

References 5 publications

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“…[6] Section: Psychiatry Study in Korea by Kim et al; found that there is a positive correlation between depression, aggression, and impulsion associated with smartphone addiction. [12] It has been showed that excessive smartphone use may lead to depression, anxiety and sleep disturbances. [13,14] Smartphone addiction affects social life, communication, and difficulty in concentration.…”

Section: Introductionmentioning

confidence: 99%

Smartphone Addiction among Students of Medical University in South India: A Cross-Sectional Study

Ammati¹,

Kakunje²,

Karkal³

et al. 2018

AIMDR

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Background: Smartphone has become an integral part of our daily living. The problem of smartphone addiction is growing across the world especially among students. Aim: This study was conducted to know the magnitude of smartphone addiction among students of the medical university. Methods: It is a questionnaire based cross section observational study conducted at Yenepoya University campus, Mangalore, Karnataka State, South India, from July 2017 to November 2017 involving 328 students from all constituent colleges of University looking at smartphone usage among students. Results: 328 students from all constituent colleges of University were taken as study sample; it had 48.2% males and 51.8% females. The mean age of the sample was 21.1 ± 3 years. All the students are using a smartphone. 46% of students using smartphone 4-6 hours per day and main use of smartphone were for social networking. Based on cut off values, 36.8 % of students were addicted to smartphone. Nearly half of the male students and a quarter of female students were addicted to smartphone. Conclusion: The problem of Smartphone usage/addiction has reached an alarming level. There is need to create awareness of the problem and plan effective intervention strategies.

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Section: Introductionmentioning

confidence: 99%

Smartphone Addiction among Students of Medical University in South India: A Cross-Sectional Study

Ammati¹,

Kakunje²,

Karkal³

et al. 2018

AIMDR

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show abstract

“…Second, data on many of the independent variables in our study were self-reported and may possibly be inaccurate such as when asked about age at first smartphone use, time spent and reason for using smartphone during a weekday. Third, other factors known to associate with younger age at first use and the development of smartphone addiction were not controlled for, such as particular individual personality characteristics like impulsivity (Dalbudak & Evren, 2014;Kim et al, 2015), disruptive behavior problem (Dalbudak & Evren, 2014;Slutske et al, 2014), and family environment (Slutske et al, 2014).…”

Section: Study Strengths and Limitationsmentioning

confidence: 99%

Is Smartphone Addiction Associated with a Younger Age at First Use in University Students?

Jaalouk¹,

Boumosleh²

2018

GJHS

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Background: Recent evidence highlighted the potential of habitual smartphone use among youth to become an addiction analogous to established behavioral and substance-related addictions. While investigators revealed independent predictive effects of several sociodemographic factors, personality traits, psychological conditions, and smartphone usage patterns on smartphone addiction (SPA) in university students, none examined the independent effect of age at first smartphone use, a potential predictor variable, on subsequent development of SPA.Objective: This study aims to examine the independent association between age at first smartphone use and SPA score in a sample of 688 Lebanese undergraduate university students.Methods: A random sample of 688 undergraduate students selected from Notre Dame University, Lebanon filled out survey forms that included a) questions on socio-demographics, academics, smartphone use, personality type, depression, anxiety, and lifestyle habits; b) 26-item Smartphone Addiction Inventory (SPAI) Scale. Multiple linear regression analyses were used to examine the independent association between age at first use and SPA level. Results:Mean age at first smartphone use was about 15 years. Younger age at first use of smartphone was found to be significantly associated with several SPA symptoms and correlated with higher total SPAI score. In the unadjusted regression model, higher total SPAI scores were found to be significantly associated with younger age at first smartphone use. This association remained significant in the partially adjusted model, but disappeared in the fully adjusted one when controlling additionally for smartphone use habits. Conclusion:Younger age at smartphone use did not independently predict SPA in this sample of students.

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“…Side effects such as smartphone overdependence or misuse are also growing, causing multiple problems and difficulties in daily life for adolescents [1] [2]. These difficulties appear in all aspects of their lives, including deterioration of physical health in the eyes, neck, shoulders, and wrists [3] [4], changes in cerebral physiology such as "popcorn brain" or digital dementia [5], psychological problems like increased anxiety, depression, and aggression [6][7][8][9], relational problems like discord with family or friends and alienation [10], and school maladjustment [11].…”

Section: Introductionmentioning

confidence: 99%

Development of a Smartphone Overdependence Prevention Group Program in Adolescents

2019

APJCRI

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The objective of this study was to design a group program to prevent smartphone overdependence in adolescents and verify its effects. The program comprises six sessions carried out in the following steps: "Building Relationships and Preparing for Change," "Preparing for Change," "Implementing Change," and "Maintaining Change." Furthermore, to verify its effects, we applied the program to 109 middle and high school students (51 in the experimental group, 58 in the control group) in Chungcheongnam-do. A significant difference was found in the scores of smartphone overdependence, peer relationships, and self-efficacy between the experimental group and the control group. This study showed that this short-term group program of six sessions had significant effects on reducing smartphone overdependence and improving peer relationships and self-efficacy. The program has significance in that it is a prevention program that reinforces the positive aspects of smartphone use as well as reduces the negative impact of smartphone overdependence.

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Smartphone Addiction: (Focused Depression, Aggression and Impulsion) among College Students

Cited by 54 publications

References 5 publications

Smartphone Addiction among Students of Medical University in South India: A Cross-Sectional Study

Smartphone Addiction among Students of Medical University in South India: A Cross-Sectional Study

Is Smartphone Addiction Associated with a Younger Age at First Use in University Students?

Development of a Smartphone Overdependence Prevention Group Program in Adolescents

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