Effect of sports participation on Internet addiction mediated by self-control: A case of Korean adolescents

Park, Jae-Ahm; Park, Mi-Hyang; Shin, Jangho; Li, Bo; Rolfe, David T.; Yoo, Jong‐Shin; Dittmore, Stephen W.

doi:10.1016/j.kjss.2016.08.003

Cited by 37 publications

(25 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In particular, impulsivity and self-control are important psychological factors affecting addiction [ 38 , 39 ]. Impulsivity has been reported as a risk factor in addiction to social networking sites or smartphones [ 29 , 40 ] and lack of self-control is related to addictions such as substance use disorder [ 27 ] and Internet use [ 41 , 42 , 43 ]. Anxiety may be relevant psychopathological symptom to detect Internet, smartphone, and video game addiction [ 44 , 45 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

Rho

Lee

et al. 2017

IJERPH

133

View full text Add to dashboard Cite

Background: Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; Methods: Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We identified 481 IGD gamers and 3087 normal Internet gamers, based on Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria. Logistic regression analysis was applied to identify significant risk factors for IGD; Results: The following eight risk factors were found to be significantly associated with IGD: functional and dysfunctional impulsivity (odds ratio: 1.138), belief self-control (1.034), anxiety (1.086), pursuit of desired appetitive goals (1.105), money spent on gaming (1.005), weekday game time (1.081), offline community meeting attendance (2.060), and game community membership (1.393; p < 0.05 for all eight risk factors); Conclusions: These risk factors allow for the prediction and diagnosis of IGD. In the future, these risk factors could also be used to inform clinical services for IGD diagnosis and treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

Rho

Lee

et al. 2017

IJERPH

133

View full text Add to dashboard Cite

show abstract

“…According to Kuss et al (2012), "games offer unique coping strategies to turn users' attention and energy away from real life problems and stress". According to Park et al (2016), "sports has a positive effect on self-control and the effect of self-control on internet addiction".…”

Section: Introductionmentioning

confidence: 99%

An investigation of the digital game addiction between high school students

et al. 2017

View full text Add to dashboard Cite

The aim of this study was to investigate the digital game addiction levels of the high school students, according to some variables such as sports participation, gender, place of accommodation and level of income. The sample group comprises 931 high school students (508, %54,6 female and 423, %45,4 male) from several villages, districts and Kutahya city center (a town in the west part of Turkey with the population of 325.000). They participated to the study voluntarily. In addition to personal information from prepared by the researcher, the game addiction scale developed by Lemmens et al. (2009) and adapted to Turkish by Irmak and Erdogan (2015) was used as a data gathering tool. It is a five point Likert type scale and has one factor and seven items. In order to evaluate the results the descriptive statistical methods (percentage (%), frequency (f) and t-test, one-way ANOVA) were used. As a result, the significant difference was determined regarding digital game addiction [t (931)=-3,76; p=0,00] between the students who participate to the sports activities and who do not. So, the non-participant students found more game addicted. According to the gender, male students were determined more addicted than females [t (931)=9,45; p=0,00]. No significant difference was determined in terms of the place where the students lived (p=0,56, p>0,05). Finally, the significant difference was determined in terms of the income levels, [f (931)=3,07; p=0,01] on behalf of the students who had good income level. They found more addicted.

show abstract

“…Moreover, persons with addiction also diagnosed with mental health conditions (e.g., depression) are less likely to fully engage with treatment and are more likely to relapse (Weinstock et al, 2007). Because exercise can improve mental health (Chekroud et al, 2018) and is related to reduced rates of relapse in those overcoming addictions (Linke et al, 2019;Linke & Ussher, 2015;Park et al, 2016;Sanchez et al, 2017), understanding factors related to increases in exercise behaviors among people seeking recovery could be helpful in assisting their long-term recovery.…”

mentioning

confidence: 99%

Impact of social networks, mental health, and sobriety on exercise within a collegiate recovery community

Patterson¹,

Russell²,

Spadine³

et al. 2020

Health Behavior Research

View full text Add to dashboard Cite

Exercise is especially beneficial for individuals recovering from addiction. In addition to improved physical, emotional, and mental health, exercise is linked to long-term recovery for those overcoming addiction. With nearly 10% of college students in recovery, and many utilizing campus resources such as collegiate recovery communities (CRCs) to support their recovery, it is important to understand the relationship between exercise and the recovery process among college students. The purpose of this study was to use social network analysis and theory to understand exercise behaviors among a group of college students in recovery. The relationship between exercise and sobriety, mental health variables, and social connections was examined among a network of students involved in a CRC. Of the 50 students involved in this network, 40 participated in the study (80% response rate). Logistic regression analysis revealed a significant model (R 2 = .598, p < .0001) predicting whether CRC members exercised enough to yield health benefits. Length of sobriety, higher stress, lower depression, having fewer network ties, and being connected directly to others exercising regularly were significant predictor variables in the model. This study supports the relationship between sobriety and exercise, as well as an association between network connections and exercise behaviors. Incorporating exercise opportunities as part of CRC programming to help students stay sober, as well as identifying key target points for intervention within similar groups of students, could be useful in future practice.

show abstract

Effect of sports participation on Internet addiction mediated by self-control: A case of Korean adolescents

Cited by 37 publications

References 23 publications

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

An investigation of the digital game addiction between high school students

Impact of social networks, mental health, and sobriety on exercise within a collegiate recovery community

Contact Info

Product

Resources

About