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 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.

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 ◽  
Sleep Disturbances ◽  
Multiple Logistic Regression Analysis ◽  
Self Report ◽  
School Students ◽  
Japanese Adolescents ◽  
The Relationship

Abstract Background: The increase in the number of Internet users has increased Internet dependence worldwide. In adolescents, this dependence interferes with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have descriptively examined the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted this study to determine the relationship between sleep disturbance in adolescents and IA based on the categories of the Young Diagnostic Questionnaire (YDQ) through a complete survey of one prefecture in Japan.Methods: In 2016, a self-report questionnaire was used to survey high school students (n=10,405, age range: 15–16 years) in all 54 day-boarding high schools in the selected prefecture. We defined “sleep disturbance” by scores greater than 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index. IA was evaluated using the YDQ: “IA,” when five of the eight YDQ items were present; “at-risk,” when three or four YDQ items were reported; and “non-IA,” when two or less YDQ items were positive. Multiple logistic regression analysis was undertaken with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for eight items.Results: High YDQ scores were associated with high prevalence rates 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 disturbances.

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. Keywords:

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 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 ◽  
Sleep Disturbances ◽  
Multiple Logistic Regression Analysis ◽  
Self Report ◽  
School Students ◽  
Japanese Adolescents ◽  
The Relationship

Abstract Background: Worldwide, the increase in the number of Internet users has increased Internet dependence. In adolescents, this dependence interferes with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have descriptively examined the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted this study to determine the relationship between sleep disturbance in adolescents and IA based on the categories of the Young Diagnostic Questionnaire (YDQ) through a complete survey of one prefecture in Japan. Methods: In 2016, a self-report questionnaire was used to survey high school students (n=10,405, age range: 15–16 years) in all 54 day-boarding high schools in the selected prefecture. We defined “sleep disturbance” by scores greater than 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 present; “at-risk,” when either 3 or 4 YDQ items were reported; and “non-IA,” when less than 2 YDQ items were positive. Multiple logistic regression analysis was undertaken with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for 8 items. Results: High YDQ scores were associated with high prevalence rates of sleep disturbance in both male and female participants. These findings persisted after controlling for other factors in the multiple regression model. Conclusions: Among Japanese adolescents, there exists a significant independent relationship between IA and sleep disturbances.

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 ◽  
Sleep Disturbances ◽  
Multiple Logistic Regression Analysis ◽  
Self Report ◽  
School Students ◽  
Japanese Adolescents ◽  
The Relationship

Abstract Background: Worldwide, the increase in the number of Internet users has increased Internet dependence. In adolescents, this dependence interferes with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have descriptively examined the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted this study to determine the relationship between sleep disturbance in adolescents and IA based on the categories of the Young Diagnostic Questionnaire (YDQ) through a complete survey of one prefecture in Japan. Methods: In 2016, a self-report questionnaire was used to survey high school students (n=10,405, age range: 15–16 years) in all 54 day-boarding high schools in the selected prefecture. We defined “sleep disturbance” by scores greater than 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 present; “at-risk,” when either 3 or 4 YDQ items were reported; and “non-IA,” when less than 2 YDQ items were positive. Multiple logistic regression analysis was undertaken with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for 8 items. Results: High YDQ scores were associated with high prevalence rates of sleep disturbance in both male and female participants. These findings persisted after controlling for other factors in the multiple regression model. Conclusions: Among Japanese adolescents, there exists a significant independent relationship between IA and sleep disturbances.

scholarly journals Identification of the Effect of Drug Use Trends on Senior High School in Banda Aceh City: Multiple Logistic Regression Analysis

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 616-630
Author(s):  
T. Alamsyah ◽  
Hizir Sofyan ◽  
Heru Santosa ◽  
Hajjul Kamil
Keyword(s):  
High School ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Drug Abuse ◽  
Drug Use ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Senior High School ◽  
Multiple Logistic Regression ◽  
Banda Aceh

Introduce. “The problem of abuse in Indonesia has entered an alarming stage, where drugs are not only abused by adults but also by students. There are 6.4% are Senior High School. Research Objectives To identify trends in drug use among Senior High School in Banda Aceh City”. Method. “Analytical research design with a sample of 256 students with multiple logistic regression analysis”. Result. “Hereditary factors sig (0.198), parent factors sig (0.018), individual factors sig (0.013), peer risk factors 2.354 times, availability sig (0.007), the cultural factors risk level of 2.420 times”. Conclusion. “Based on the identification that has been done, it can be concluded that of the six factors analyzed, the Hereditary factor does not have a significant effect on drug abuse, while other factors show a significant effect on drug abuse”.

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

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