The relationship between social phobia and internet addiction in adolescents (Preprint)

2021 ◽  
Author(s):  
Ramazan Saglan ◽  
Tulin Fidan ◽  
Muhammed Fatih Onsuz ◽  
Selma Metintas
Keyword(s):  
High School ◽  
Logistic Regression ◽  
Regression Analysis ◽  
High School Students ◽  
Social Phobia ◽  
Logistic Regression Analysis ◽  
Internet Addiction ◽  
The Internet ◽  
School Students ◽  
The Relationship

BACKGROUND Adolescence is a risky stage for internet addiction and social phobia. Internet addiction is a major public health problem, especially among adolescents. OBJECTIVE The study was conducted to determine the frequency of internet addiction and social phobia, to evaluate the relationship between them among high school students in Eskişehir. METHODS The study is a cross-sectional study conducted on high school students studying in Eskişehir during the 2017-2018 academic year. In the study, two stage cluster sampling method was used according to settlement units and school types. The study group consisted of 3353 students who are found in selected schools for sampling and agreed to participate in the study. Multivariate logistic regression analysis was performed to determine the independent variables associated with social phobia and internet addiction. RESULTS In the study, the prevalence rates of internet addiction, social phobia, internet addiction and social phobia among the students was 13.8%, 8.7% and 2.7% respectively. Logistic regression analysis shows that internet addiction can be predicted by family type, tool for connecting to internet, age of first internet use, time to access the internet after waking up in the morning, total duration of internet use, self-limitation on the use of the internet and social phobia. CONCLUSIONS Internet addiction and social phobia are important health problems which are found to be related to each other in adolescents. Prevention and intervention studies should be planned about social phobia and internet addiction. CLINICALTRIAL 80558721/G-312

scholarly journals Internet Addiction and Its Relationship with Family Functioning in High School Students

2021 ◽  
Vol 31 (1) ◽  
pp. 44-52
Author(s):  
Zahra Harsej ◽  
◽  
Nasrin Mokhtari Lakeh ◽  
Farzaneh Sheikholeslami ◽  
Ehsan KazemnezhadLeili ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Family Functioning ◽  
Internet Addiction ◽  
Internet Usage ◽  
The Internet ◽  
Statistical Relationship ◽  
School Students ◽  
The Family ◽  
The Relationship

Introduction: Family-related factors play an important role in adolescent’s addiction to the Internet. Objective: The aim of this study was to examine the relationship between Internet addiction and family functioning in high school students. Materials and Methods: This is an analytical study with a cross-sectional design conducted on 796 high school students in Rasht city, Iran who were selected using multi-stage cluster random sampling method. Data collection tools were a demographic form, the Young’s Internet Addiction Test, and the Family Assessment Device. Chi-Square test and rank-ordered logistic regression analysis were used for data analysis. Results:The response rate of of students was 86.81%; 85.7% had at least two family members who were using the Internet; 71.2% of students had no addiction, 27.5% were exposed to Internet addiction and 1.3% had Internet addiction. The majority (65.0%) of studnets had unhealthy family functioning. The relationship between Internet addiction and family functioning was statistically significant (P=0,001). There was a significant statistical relationship between Internet addiction and family income (P= 0.003), fatherchr('39')s job (P=0.001), and duartion of internet usage per day (P=0.001). Logistic regression model showed that the family functioning score (OR=1.02, 95% CI;1.01-1.04, P=0.001), duration of Internet usage per day (OR=1.02, 95% CI;1.11-1.20, P=0.0001), and gender (male) (OR=1.02, 95% CI;1.26-2.58, P=0.001) significantly affected Internet addiction. Conclusion:Due to the direct statistical relationship between Internet addiction and family functioning, it is necessary to pay serious attention to the phenomenon of Internet addiction and make appropriate plans for adolescents and their families to use the Internet properly.

scholarly journals The Relationship of Affective Temperament and Emotional-Behavioral Difficulties to Internet Addiction in Turkish Teenagers

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Fatma Ozgun Ozturk ◽  
Mine Ekinci ◽  
Onder Ozturk ◽  
Fatih Canan
Keyword(s):  
High School ◽  
High School Students ◽  
Internet Addiction ◽  
The Internet ◽  
Emotional Symptoms ◽  
School Students ◽  
Behavioural Characteristics ◽  
Affective Temperament ◽  
Relationship Of ◽  
The Relationship

The purpose of this study was to investigate the association of affective temperament profiles and emotional and behavioural characteristics with Internet addiction among high school students. The study sample included 303 high school students. A sociodemographic characteristics data form, internet addiction scale (IAS), the strengths and difficulties questionnaire, and the temperament evaluation of Memphis, Pisa, Paris, and San Diego autoquestionnaire were used to collect data. Of the sample, 6.6% were found to be addicted to Internet. Having a computer in the home (P<0.001) and using the Internet for more than two years (P<0.001) were found to be related to higher scores on the IAS. The prevalence rate of anxious temperament for Internet addicts was more than that for nonaddicts (P<0.001). Dysthymic (r=0.199; P<0.01), cyclothymic (r=0.249; P<0.01), hyperthymic (r=0.156; P<0.01), irritable (r=0.254; P<0.01), and anxious (r=0.205; P<0.01) temperaments; conduct problems (r=0.146; P<0.05), hyperactivity-inattention (r=0.133; P<0.05), emotional symptoms (r=0.138; P<0.05), and total difficulties (r=0.160; P<0.01) were found to be correlated with IAS scores. According to these findings, there is a relation between the Internet addiction and affective temperament profiles, especially with anxious temperament. Furthermore, emotional and behavioural problems are more frequent in adolescents who have problematic Internet use.

scholarly journals Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study

2019 ◽  
Author(s):  
Mikiko Tokiya ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yoshitaka Kaneita
Keyword(s):  
High School ◽  
Logistic Regression ◽  
Regression Analysis ◽  
High School Students ◽  
Sleep Disturbance ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
School Students ◽  
Male And Female ◽  
The Relationship

Abstract Background: As the number of Internet users around the world increases, so does the dependency on the Internet. In adolescents this dependence interferes with sleep, which is important for the development of their psychophysiological capabilities. However, few large-scale surveys have examined the relationship between internet addiction (IA) and sleep disturbance in detail using standardized questionnaires. This study aimed to determine the relationship between sleep disturbance in adolescents and IA according to the categories of the Young Diagnostic Questionnaire (YDQ) through a complete survey of one prefecture in Japan. Methods: In 2016, a self-administered questionnaire was used to survey high school students (n=10,405) in all 54 daytime high schools in one prefecture. In this study, “sleep disturbance” was defined as achieving over 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index. IA was evaluated using the YDQ: “IA,” when 5 of the 8 YDQ items were applied; “at-risk,” when either 3 or 4 YDQ items were applied; and “non-IA,” when less than 2 YDQ items were applied. Multiple logistic regression analysis was performed, with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments made for 8 items, including the frequency of skipped meals. Results: High YDQ scores were associated with high prevalence rates of sleep disturbance in both male and female participants; the higher the score, higher was the rate. On multiple logistic regression analysis for both male and female participants, higher YDQ scores showed higher adjusted odds ratios for sleep disturbances. Conclusions: For high school students within one prefecture in Japan, higher YDQ scores, which indicate internet dependency, were significantly related to sleep disturbance, suggesting that the likelihood of sleep disturbance increases with YDQ scores.

scholarly journals 0935 Association Between Chronotype, Sleep Duration, Weekend Catch-Up Sleep, and Depression Among Korean High School Students

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A355-A356
Author(s):  
K Yang ◽  
K Jee Hyun ◽  
Y Hwangbo ◽  
D Koo ◽  
D Kim ◽  
...  
Keyword(s):  
High School ◽  
Logistic Regression ◽  
High School Students ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Internet Addiction ◽  
School Students ◽  
Increased Risk ◽  
Sleep Environment ◽  
Catch Up

Abstract Introduction The present study aimed to examine the association between chronotype, sleep duration, weekend catch-up sleep (CUS) duration, and depression among Korean high school students. Methods A total of 8,565 high school students who were analyzed from 15 nationwide districts in South Korea completed an online self-report questionnaire. Depressive mood was assessed using the Korean version of the Beck Depression Inventory. The following sleep characteristics were assessed: weekday and weekend sleep durations, weekend CUS duration, chronotype, perceived sufficiency of sleep, self-reported snoring and sleep apnea, daytime sleepiness, and sleep environment. Age, sex, body mass index, number of private classes, and proneness to internet addiction were also measured. Logistic regression analysis was conducted to compute odds ratios for the association between depression and sleep characteristics, after controlling for relevant covariates. Results The prevalence of depression (BDI ≥ 16) was 1,794 (20.9%). In the analyses of multivariate logistic regression, the late chronotype (odds ratio [OR], 1.71; 95% CI, 1.47-1.99), female (OR, 2.24; 95% CI, 1.99-2.53), underweight (OR, 1.27; 95% CI, 1.02-1.57) and obesity (OR, 1.41; 95% CI, 1.13-1.75), weekday sleep duration (OR, 0.86; 95% CI, 0.81-0.91), weekend CUS duration ≥ 2 hours (OR, 0.68; 95% CI, 0.55-0.85), ESS (OR, 1.08; 95% CI, 1.07-1.10), much (OR, 2.15; 95% CI, 1.63-2.84) and insufficient (OR, 1.71; 95% CI, 1.46-2.01) perceived sleep, snoring (OR, 1.27; 95% CI, 1.11-1.46) and witnessed apnea (OR, 2.10; 95% CI, 1.75-2.52), increased internet addiction (OR, 1.06; 95% CI, 1.05-1.06), high number of private education (OR, 0.76; 95% CI, 0.60-0.95), and poor sleep environment (OR, 1.86; 95% CI, 1.56-2.21) were associated with depression. Conclusion Eveningness preference, insufficient weekday sleep duration, short weekend CUS duration, and self-reported snoring and sleep apnea were associated with an increased risk for depression. Support  

scholarly journals Relationship between Internet addiction and sleep disturbance in high school students: a cross-sectional study

2020 ◽  
Author(s):  
Mikiko Tokiya ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yoshitaka Kaneita
Keyword(s):  
High School ◽  
High School Students ◽  
Sleep Disturbance ◽  
Internet Addiction ◽  
Large Scale ◽  
Multiple Logistic Regression Analysis ◽  
School Students ◽  
Cross Sectional ◽  
Japanese Adolescents ◽  
The Relationship

Abstract Background: The increase in the number of Internet users has increased Internet dependence worldwide. In adolescents, this dependence may interfere with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have described the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted a survey in one prefecture in Japan to determine the relationship between sleep disturbance and IA in adolescents based on the categories of the Young Diagnostic Questionnaire (YDQ).Methods: In 2016, high school students (N=10,405, age range: 15–16 years) in all 54 daytime high schools in the selected prefecture were surveyed using a self-administered questionnaire. Participants with scores > 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index were defined as having a sleep disturbance. IA was evaluated using the YDQ: Participants with five to eight YDQ items present were classified as having IA; those with three or four items present were classified as “at risk of IA”; and those with two or less YDQ items were classified as “non-IA”. Multiple logistic regression analysis was performed with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for eight other variables.Results: High YDQ scores were associated with a high prevalence of sleep disturbance in boys and girls. These findings persisted after controlling for other factors in the multiple regression model.Conclusions: Among Japanese adolescents, there was a significant independent relationship between IA and sleep disturbance.

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