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: 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 ◽  
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 ◽  
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 ◽  
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:

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.

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

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