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.

scholarly journals An Initial Study In the Development of Smartphone Addiction Scale for Student (SAS-S)

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
A Maulani Habibi ◽  
Sigit Sanyata
Keyword(s):  
High School ◽  
Factor Analysis ◽  
High School Students ◽  
Sleep Disturbances ◽  
Initial Study ◽  
Self Control ◽  
Smartphone Addiction ◽  
Validity And Reliability ◽  
School Students ◽  
Good Scale

The purpose of this study was to develop a new scale, Smartphone addiction scale for Student (SAS-S) was developed to measure the level of smartphone addiction in high school students. A total of 32 item scales were developed through literature studies. Exploratory factor analysis (EFA) is used to examine the structure of factors formed in this scale. The results show the Smartphone addiction scale for Student (SAS-S) has 22 good items from 6 factor structures that are formed, including: (1) Self Control Disorder, (2) loss of time, (3) sleep disturbances, (4) can not be without smartphones, (5) changes in feelings and, (6) concerned smartphone. SAS-S is a good scale that can be used by any high school student. Another point also shows that the scale of smartphone addiction for high school students has a strong level of validity and reliability.

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.

Effects of adolescent smartphone addiction on cybersexual delinquency

2017 ◽  
Vol 45 (5) ◽  
pp. 819-831 ◽  
Author(s):  
Jin Choi ◽  
Ok-joo Choi ◽  
Joon-ho Kim
Keyword(s):  
Risk Factors ◽  
High School ◽  
High School Students ◽  
South Korea ◽  
Smartphone Addiction ◽  
School Students ◽  
Korean Adolescents ◽  
Verbal Violence ◽  
The Relationship ◽  
Positive Effect

We analyzed the relationship between smartphone addiction and cybersexual delinquency in a sample of Korean adolescents; further, we specifically delineated and analyzed the risk factors for smartphone addiction. Statistical analyses were performed based on the responses to a survey conducted with 1,020 high school students across South Korea. Results showed that adolescent smartphone addiction had a significantly positive effect on the likelihood of accessing cybersexual content and the frequency of engaging in cyber-verbal violence. Furthermore, the accessing of cybersexual content had a significantly positive effect on the frequency of engaging in cyber-verbal violence, and the frequency of engaging in cyber-verbal violence had a significantly positive effect on the development of cybersexual delinquency. Specifically, because adolescents are still in the process of developing socially, they are vulnerable to smartphone addiction; therefore, there is a need for appropriate interventions to be developed for use with this population.

scholarly journals The Relationship among Parenting Style, Self-Regulation, and Smartphone Addiction Proneness in Indonesian Junior High School Students

2021 ◽  
Vol 5 (1) ◽  
pp. 51-59
Author(s):  
Lailil Fatkuriyah ◽  
Chae Sun-Mi
Keyword(s):  
High School ◽  
High School Students ◽  
Parenting Style ◽  
Junior High School ◽  
Junior High ◽  
Risk Group ◽  
Self Regulation ◽  
Smartphone Addiction ◽  
School Students ◽  
The Relationship

Background: Smartphone addiction leads to physical, psychological, and social consequences for users, particularly for adolescent users, as psychological development is still in the process of maturation. Individual and family characteristics are shown to contribute to shaping adolescent’s behavior related to smartphone usage. Specifically, perceived parenting style and self-regulation have been reported as significant factors influencing smartphone addiction among adolescents.Objective: This study aims to identify the relationship among parenting style, self-regulation, and smartphone addiction proneness in Indonesian junior high school students.Method: This study used a cross-sectional, descriptive study design. Data collection took place in five public junior high schools in Jember from the 7th of January to the 8th of February, 2019. The total sample of this study was 158, purposively asked to fill out three questionnaires: Parental Authority Questionnaire, Self-Regulation Questionnaire, and Smartphone Addiction Proneness Scale. Chi-square test and Pearson’s correlation coefficients were used to test the relationship between two variables.Result: The differences in smartphone addiction proneness between the risk group and non-risk group were significant depending on gender (p=0.004), daily smartphone usage time (p=0.025), and purpose of smartphone usage (p=0.001). A significant negative correlation was found between self-regulation and smartphone addiction proneness (r= -0.448, p=0.001).Conclusion: The current study found that 11.4% of junior high school students in Jember-Indonesia were categorized into risk groups for smartphone addiction. Gender, daily smartphone usage time, and purpose of smartphone usage showed significant differences between the risk group and the non-risk group. However, there was no difference in the parenting style of the mother between the two groups. Self-regulation showed a significant association with smartphone addiction. 

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 THE RELATIONSHIP BETWEEN TIME MANAGEMENT, SELF REGULATION, AND SMARTPHONE ADDICTION

2021 ◽  
Vol 8 (2) ◽  
pp. 82-98
Author(s):  
Muslihatin Azizah
Keyword(s):  
High School ◽  
High School Students ◽  
Time Management ◽  
Self Regulation ◽  
Negative Relationship ◽  
Simple Random Sampling ◽  
Senior High School ◽  
Smartphone Addiction ◽  
School Students ◽  
The Relationship

This study aims to identify the relationship between self-regulation, time management and smartphone addiction on Public Senior High School students in North Surakarta. The data were collected from Public Senior High School 1, 5, and 8 Surakarta with samples by 283 students. The data collection technique was simple random sampling by developing three scales, i.e., self-regulation skill, time management scale, and smartphone addiction scale. This study applied two kinds of data analysis, which were descriptive analysis and regression analysis. The results of this study showed a negative relationship between self-regulation, time management, and smartphone addiction, either partially or entirely by 27.7%. The results also showed that the higher the student’s self-regulation and time management levels, the lower the level of student’s smartphone addiction. 

scholarly journals Smartphone Addiction and Sleep Quality on Academic Performance of University Students: An Exploratory Research

2021 ◽  
Vol 18 (16) ◽  
pp. 8291
Author(s):  
Balan Rathakrishnan ◽  
Soon Singh Bikar Singh ◽  
Mohammad Rahim Kamaluddin ◽  
Azizi Yahaya ◽  
Mohd Azrin Mohd Nasir ◽  
...  
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Sleep Quality ◽  
Pearson Correlation ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Exploratory Research ◽  
Poor Sleep Quality ◽  
The Relationship

This study was conducted to examine the relationship between smartphone addiction, sleep quality, and academic performance. The study presented quantitative research on 323 students in a public university in Sabah to explore the relationship between smartphone addiction, sleep quality, and academic performance. A simple random sampling was used in the study. The Smartphone Addiction Scale Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) were used in this study. SPSS was used as a tool of analysis for descriptive and inferential analysis. Pearson correlation was involved to test the hypothesis of the study. The result indicated that the greater the smartphone addiction, the lower the academic performance of university students. The finding also proved that students with poor sleep quality might exhibit low academic performance. Smartphone addiction was found to be associated with sleep quality where overusing smartphones was related to poor sleep quality in university students. On this basis, the problem of smartphone addiction and sleep quality should be tackled in order to improve the academic performance of university students and their overall health.

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