Comparison of Smartphone Addiction Level, Temperament and Character and Parental Attitudes of Adolescents with and without Attention Deficit Hyperactivity Disorder

Kocyigit, Simge; Güzel, Halime Şenay; Acikel, Burak; Çetinkaya, Miray

doi:10.1007/s11469-021-00494-2

Cited by 8 publications

(10 citation statements)

References 55 publications

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“… 6 Life attitudes associated with smartphone use result from temperament and personality traits. 7 As smartphones become more accessible, a study on the relationship between smartphone usage habits, personality, temperamental characteristics, and grades of college students in their 20s is needed.…”

Section: Introductionmentioning

confidence: 99%

“… 43 The few studies that investigated the relationship between the TCI and smartphone use focused on problematic smartphone behavior, not the individual characteristics that appear in general smartphone use. 7 44 Thus, it is important to explore whether the TCI can aid in the formulation of a research approach for non-addicted smartphone users.…”

Section: Introductionmentioning

confidence: 99%

“… 48 Temperament is a factor that determines academic performance, mainly in children. 7 18 In addition, types of temperament of university students can be classified as favorable ones for their well-being, academic performance, and school life adaptation. 49…”

Section: Introductionmentioning

confidence: 99%

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The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

et al. 2022

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Background Smartphone use patterns may predict daily life efficacy and performance improvements in sports. Additionally, personal characteristics may be associated with smartphone overuse. Methods We investigated the correlation between the temperament and character inventory (TCI) and academic performance using smartphone log data. We hypothesized that the elite and general groups, divided based on academic performance, differed according to the TCI and downloadable smartphone apps (applications). Additionally, we hypothesized a correlation between smartphone app usage patterns and TCI. A total of 151 students provided smartphone log data of the previous four weeks. They also completed the TCI and provided academic records of the previous year. Results The first and second most frequently used apps by both groups of students were social networking and entertainment, respectively. Elite students scored higher on novelty seeking, reward dependence, persistence, self-directedness, and self-transcendence than general students. In all participants, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.32, P < 0.007), reward dependence (r = 0.32, P < 0.007), and self-transcendence (r = 0.35, P < 0.006). In the elite group, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.45, P < 0.001), reward dependence (r = 0.39, P = 0.022), and self-transcendence (r = 0.35, P = 0.031). In the general group, the usage time of serious apps was correlated only with self-transcendence (r = 0.32, P < 0.007). Conclusion High usage time of serious apps can help sports majors to excel academically. Particularly among sports majors, serious apps are related to activity, the desire for rewards and recognition, and the tendency to transcend themselves.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

et al. 2022

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“…Since the emergence of smartphones, the abnormal use of these devices has raised a question: "Does its abuse or addiction lead to mental and behavioral problems?" There is scant literature referring use and abuse of smartphones as a form of behavioral addiction (Hadar et al, 2017;Kocyigit, Guzel, Acikel, & Cetinkaya, 2021;Kwon et al, 2013b;Spada, 2014) as similar to other forms of behavioral addictions, proving the existence of smartphone addiction is challenging. Smartphone addiction characterized as a form of behavioral addiction is defined as the inability of an individual to control the use of his or her smartphone which may lead to impairments in mental, psychological, social, and behavioral functioning (Bong, Won, & Choi, 2021; Kwon, Kim, Cho, & Yang, 2013a; Kwon et al, 2013b;Kwon & Paek, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Smartphone addiction characterized as a form of behavioral addiction is defined as the inability of an individual to control the use of his or her smartphone which may lead to impairments in mental, psychological, social, and behavioral functioning (Bong, Won, & Choi, 2021; Kwon, Kim, Cho, & Yang, 2013a; Kwon et al, 2013b;Kwon & Paek, 2016). Some researchers have also proposed smartphone addiction as a manifestation of impulsivity disorders; however, among the manifestations of impulsivity disorders, only compulsive gambling has been recognized as a behavioral addiction while the rest are characterized as impulse disorders (De-Sola Gutiérrez, Rodríguez de Fonseca, & Rubio, 2016; Kocyigit et al, 2021;Manchiraju, 2018;Wu, Lin, & Lin, 2021). The clinical world though proclaims that majority of these manifestation leads to mental and behavioral problems, not much consideration has been given in their literature to the concept of addiction about smartphone use/abuse.…”

Section: Introductionmentioning

confidence: 99%

Smartphone Addiction and Behavioral Outcomes in South Korea: A Systematic Review and Meta-Analysis

Shahjehan

Afridi

Haider

et al. 2021

HSSR

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Purpose of the study: There is considerable debate on smartphone addiction and its relationship with behavioral outcomes however in literature there is only one meta-analysis in the country-specific context and none in the South Korean context. Ranked 6th based on smartphone penetration in the world it is imperative to quantify the association. Methodology: A systematic review was conducted to collect published sources about smartphone addiction and its relationships with behavioral outcomes. The identified sources were evaluated for appropriateness and inclusion in the meta-analysis was made. Thirty-one studies were included in the Meta-analysis providing data from 32 samples (n=11,002) and presented associations with 13 behavioral outcomes. Main Findings: Meta-analytical tests presented a positive and significant relationship between smartphone addiction and the overall subject’s behavioral outcomes. Among the behavioral outcomes identified through the systematic review, six had significant while seven had an insignificant association with smartphone addiction. Lastly, these behavioral outcomes were quantitatively classified into 6 groups based on direction, significance, and heterogeneity of their reported effects. Overall smartphone addiction has a significant role in modifying certain behaviors of an individual. Applications of this study: The results of this study enforce the opinion that smartphone addiction tends to significantly enhance negative behavioral outcomes while limits positive outcomes in the South Korean population. Novelty/Originality of this study: This is the first country-specific study conducted regarding smartphone addiction. This is also the first meta-analysis study conducted which evaluated the effects of smartphone addiction on multiple behavior outcomes.

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Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

Aydin,

Parris,

Arabaci

et al. 2023

Curr Psychol

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An increasing number of studies have reported the existence of ADHD symptoms to be risk factors for technology addictions among young adults. In contrast to previous studies, the aim of the present study was to examine different dimensions of technology addiction in a community sample of adults and to examine their association with the individual trait-level ADHD symptoms of inattention and hyperactivity-impulsivity. A community sample of one hundred and fifty adults were recruited to participate in this study via convenience sampling. Participants completed the Adult ADHD Self-Report Scale Symptom Checklist, the Bergen Social Media Addiction Scale, the Smartphone Addiction Scale, Young’s Internet Addiction Test, the Compulsive Online Shopping Scale, and a Demographic Information Form. Composite ADHD score, inattention and hyperactivity/impulsivity were positively associated with technology addictions (internet, social media, smartphone, and online shopping addiction). Hierarchical regression analysis revealed inattention and hyperactivity-impulsivity were predictors of social media addiction and smartphone addiction, whereas they were not for online shopping addiction. Furthermore, inattention was the only predictor of internet addiction. People with non-clinical, trait-level ADHD, especially those showing a preponderance of inattention symptoms appear to be more vulnerable to developing some forms of technology addiction.

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Comparison of Smartphone Addiction Level, Temperament and Character and Parental Attitudes of Adolescents with and without Attention Deficit Hyperactivity Disorder

Cited by 8 publications

References 55 publications

The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

Smartphone Addiction and Behavioral Outcomes in South Korea: A Systematic Review and Meta-Analysis

Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions

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