Investigation of the Online Game Addiction Level, Sociodemographic Characteristics and Social Anxiety as Risk Factors for Online Game Addiction in Middle School Students

2020 ◽  
Vol 56 (5) ◽  
pp. 830-838 ◽  
Author(s):  
Semra Karaca ◽  
Ayse Karakoc ◽  
Ozlem Can Gurkan ◽  
Nevin Onan ◽  
Gul Unsal Barlas
Keyword(s):  
Risk Factors ◽  
Middle School ◽  
Social Anxiety ◽  
Middle School Students ◽  
Sociodemographic Characteristics ◽  
Online Game ◽  
School Students ◽  
Game Addiction

scholarly journals Gender-Specific Risk Factors of Physical Activity-Related Injuries among Middle School Students in Southern China

2019 ◽  
Vol 16 (13) ◽  
pp. 2359 ◽  
Author(s):  
Dongchun Tang ◽  
Weicong Cai ◽  
Wenda Yang ◽  
Yang Gao ◽  
Liping Li
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Middle School ◽  
Middle School Students ◽  
Exposure Time ◽  
Southern China ◽  
Injury Rate ◽  
Injury Incidence ◽  
School Students ◽  
Gender Specific

This cross-sectional study was carried out to explore the potential risk factors of physical activity-related injuries (PARI) among middle-school students of different genders. Selected by the random cluster sampling method, students aged from 12 to 16 years old in grades 7–8 from six middle schools in Shantou, southern China, were recruited for this investigation in November 2017. Information about socio-demographics, physical activity (PA) exposure time, individual exercise behaviors, risk-taking behaviors, and PARI experiences in the past 12 months was collected. A multivariate logistic regression model was used to explore the risk factors of PARI. A total of 1270 students completed valid questionnaires, with an overall injury incidence of 33.6% (boys: 42.0%; girls: 25.0%), an injury risk of 0.68 injuries/student/year, and an injury rate of 1.43 injuries per 1000 PA exposure hours. For boys, living in a school dormitory, participating in sports teams, exercising on a wet floor, rebellious behavior, and having longer PA exposure time were the risk factors of PARI. For girls, those who were sports team members, whose parents were divorced or separated, and those with longer PA exposure time were more vulnerable to suffer from PARI. In conclusion, PARI was a health problem among middle school students in southern China. Boys and girls differed in PARI occurrence and were affected by different risk factors, which provides a basis for targeted gender-specific intervention programs to reduce the occurrence of PARI among middle-school students.

scholarly journals Addictive behavior in adolescents in Kairouan (Tunisia)

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
H Ghali ◽  
M El Ghardallou ◽  
J Mannai ◽  
L Marzougui ◽  
O Chemkhi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Middle School ◽  
Public Schools ◽  
Middle School Students ◽  
Early Stage ◽  
Program Planning ◽  
Addictive Behavior ◽  
School Students ◽  
Cross Sectional ◽  
Male Predominance

Abstract Background and aims The levels of use of some psychoactive substances, especially alcohol, tobacco and cannabis, remain high among adolescents, despite progress in regulatory efforts to limit access to these products. Our objective is to determine the prevalence of addictive behavior among middle school students in the Kairouan region and to specify the risk factors. Methods We conducted a cross-sectional study in public schools of Kairouan (Tunisia) during one month (May 2016). Students aged 13 to 16 were included in the study. The statistical analysis was performed using the SPSS software version 18. Results A total of 2020 students participated in this study with mean age of 13.9 ± 1.2 years. A male predominance was noted (44.1%, n = 890). The prevalence of addictive behavior was 7.1% (95% CI = [6% - 8.2%]). Multivariate analysis showed that the probability of addictive behavior decreased in young women (OR = 0.05, 95% CI = [0.02 - 0.09]) from rural origin (OR = 0.51, 95% CI = [0.32 - 0.83]). Independent risk factors associated with addictive behavior were: Age (OR = 1.39, 95% CI = [1.16 - 1.66]), family history of suicide (OR = 4.42, 95% CI = [ 2.56 - 7.62]), repeating the school year (OR = 2.91, 95% CI = [1.84 - 4.60]), physical aggression (OR = 1.78; 95% CI = [1.06 - 2.98]) and depression (OR = 1.56, 95% CI = [1 - 2.43]). Conclusions The entourage and caregivers are important actors to help adolescent to verbalize his suffering and find other ways to fight against the depressive affects. Key messages Prevalence of psychoactive substance use is very high in middle school students. Identification of risk factors is important for prevention program planning at an early stage.

scholarly journals Risk Factors Influencing Cyberbullying Perpetration among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model

2021 ◽  
Vol 18 (5) ◽  
pp. 2224 ◽  
Author(s):  
Kyung Im Kang ◽  
Kyonghwa Kang ◽  
Chanhee Kim
Keyword(s):  
Risk Factors ◽  
Middle School ◽  
Middle School Students ◽  
Regression Model ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Model Analysis ◽  
Negative Binomial Regression Model ◽  
School Students ◽  
Binomial Regression

This cross-sectional descriptive study identified risk factors and predictors related to the perpetration of and potential for cyberbullying among adolescents, respectively. The analysis included a zero-inflated negative binomial regression model. Data were assessed from 2590 middle-school student panels obtained during the first wave of the Korean Child and Youth Panel Survey 2018. Of these respondents, 63.7% said they had not experienced the perpetration of cyberbullying. However, a subsequent count model analysis showed that several factors were significantly associated with cyberbullying, including offline delinquency, aggression, smartphone dependency, and smartphone usage on weekends (either 1–3 h or over 3 h). A logit model analysis also showed several predictive factors that increased the likelihood of cyberbullying, including gender (boys), offline delinquency, aggression, smartphone usage during weekdays (1–3 h), computer usage during weekends (1–3 h), and negative parenting. These identified risks and predictors should be useful for interventions designed to prevent the perpetration of cyberbullying among middle school students.

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