Smartphone Addiction and Sleep Quality Associated with Depression in University Students in Japan

2019 ◽  
Vol 9 (4) ◽  
pp. 22-31
Author(s):  
Satoko Ezoe ◽  
Tadayuki Iida ◽  
Ken Inoue ◽  
Masahiro Toda
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Multivariate Logistic Regression Analysis ◽  
Japanese Version ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Depressive State ◽  
Smartphone Use ◽  
Self Reporting Questionnaire

Smartphones have developed rapidly in recent years, with their use becoming widespread and an established part of daily life. Along with the development of various applications, smartphone addiction or dependence has been routinely reported, and indicated to be associated with such conditions as sleep problems and depression. In order to examine the relationships of smartphone use, sleep quality, chronotype, and physical exercise, with a depressive state, the authors administered a self-reporting questionnaire survey, which included the Japanese version of the Smartphone Dependence Scale (J-SDS), the Pittsburg Sleep Quality Index (PSQI), the Morningness-Eveningness Questionnaire (MEQ), and the Beck Depression Inventory (BDI), to 119 university students in Japan. Results of multivariate logistic regression analysis indicated that scores for the J-SDS and PSQI were significantly related to BDI score. These findings suggest that smartphone addiction and poor sleep quality are associated with the depressive state in students in Japan.

Association between smartphone addiction proneness and poor sleep quality in korean university students

2017 ◽  
Vol 41 (S1) ◽  
pp. S332-S332 ◽  
Author(s):  
K.B. Min ◽  
M. Jin-young ◽  
K. Hyun-Jin ◽  
K. Hye-Jin
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Online Survey ◽  
Sleep Problems ◽  
Well Being ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
User Group ◽  
Sleep Habits ◽  
Poor Sleep Quality

BackgroundThe number of Korean smartphone users exceeded 40 million in 2015, in which roughly 1 in 5 university students were expected to be addicted to their smartphone. Of importance is that smartphone addiction negatively affects physical and mental well-being and health. Sleep problems associated with smartphone is also a serious public concern; but the evidence is lacking. The aim of this study is to investigate the association between smartphone addiction proneness and sleep problems in Korean university students.MethodsWe conducted an online-survey which received responses from 608 university students. All participants completed questionnaires on the Korean smartphone addiction scale (K-SAS), the Pittsburgh Sleep Quality Index (PSQI), and personal characteristics. Based on the scores of the K-SAS, university students were classified into two groups–the addiction proneness group and the normal-user group.ResultsThe addiction proneness groups had a higher PSQI score than the normal-user group (7.5 vs. 6.7, P-value < 0.0001). After adjustment for potential covariates (i.e., age, income, and smoking), PSQI scores was significantly increased in the addiction proneness groups (Beta coefficient = 0.69; 95% CI : 0.29 ∼ 1.09). The risk of sleep problems was more increased in the addiction proneness groups (odds ratio = 1.99; 95% CI: 1.33 ∼ 2.98) than the normal-user groups.ConclusionWe found that the smartphone addiction proneness was associated with sleep problems in university students. Although our findings are further confirmed by elucidating causal relationships between smartphone uses and sleep habits, smartphone addiction proneness may be a risk factor for poor sleep quality.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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 Prevalence of Mental Distress and Associated Factors among Samara University Students, Northeast Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Robel Tesfaye Kelemu ◽  
Alemayehu Bayray Kahsay ◽  
Kedir Y. Ahmed
Keyword(s):  
Health Services ◽  
University Students ◽  
Sleep Quality ◽  
Associated Factors ◽  
Mental Distress ◽  
Female Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Northeast Ethiopia ◽  
Self Reporting Questionnaire

Background. Empirical findings have indicated that higher institution students experience a higher prevalence of mental distress compared to the general population. Understanding the magnitude and associated factors of mental distress in university students would be helpful to practitioners and policymakers in Ethiopia. The aim of the present study was to examine the prevalence and associated factors of mental distress among Samara university students, Northeast Ethiopia. Methods. Institution based cross-sectional study design was conducted in Samara university from December to June 2018. A simple random sampling technique was employed to select the study participants. Self-Reporting Questionnaire-20 (SRQ-20) was used to measure the mental distress of students. Multivariable logistic regression modeling was used to examine the association between sociodemographic and psychosocial factors with the mental distress of students. Results. The proportion of students with mental distress were found to be 53.2% (95% confidence interval [CI]: 48.0%, 58.0%). Female students were more likely to be mentally distressed compared to male students (adjusted odds ratio [AOR]: 4.66; 95% CI: 2.81, 7.71). Ever khat use (AOR: 3.09; 95% CI: 1.74, 5.50) and poor sleep quality (AOR: 2.23; 95% CI: 1.12, 3.66) were significantly associated with mental distress of students. Conclusion. Our study indicates that the proportion of mental distress was found to be higher among Samara university students as compared to previously published studies in Ethiopia. Female students, ever khat users and those with poor sleep quality were associated with mental distress. There is a need for evidence-based interventional strategies such as self-help measures, sleep hygiene and peer support, as well as professional mental health services as part of student health services that would be helpful to reduce the burden of mental distress of students.

scholarly journals Impact of smartphone use on quality of sleep among medical students

2017 ◽  
Vol 5 (1) ◽  
pp. 101 ◽  
Author(s):  
Mahesh D. Kurugodiyavar ◽  
Sushma H. R. ◽  
Maneesha Godbole ◽  
Manjunath S. Nekar
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Hierarchical Regression ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Smartphone Use

Background: Smartphone with its various functionalities has become an essential part of our daily activities and its use has been increasing. This has raised concern about its overuse and addiction especially in students. It is known that poor sleep is very common among medical students; there are many studies on sleep quality and its determinants in medical students but very few relating sleep quality and smartphone addiction. The main objective of this study was to investigate the relationship between smartphone use severity and sleep quality among medical students of KIMS, Hubballi. Methods: A cross‑sectional study on sample of 240 undergraduate medical students KIMS, Hubballi was conducted. Students were assessed using a self-administered questionnaire, Smart phone addiction scale (SAS) and Pittsburgh sleep quality inventory (PSQI). SAS score and PSQI scores were co-related. Hierarchical regression analyses were conducted to identify the variables independently associated with level of sleep quality. Results: Out of 240 subjects 117 (48.75%) were poor sleepers & 123 (51.25%) were good sleepers according to PSQI global sleep score. According to SAS score 123 (51.2%) were low users and 117 (48.75%) were high users of Smart phone. The mean (SD) PSQI global score was 4.8 (2.49) and mean (SD) SAS score was 102.93 (22.13). There was positive correlation between SAS score & PSQI score (r=0.343, p<0.001). Gender (β=0.141, p=0.021) & SAS score (β=0.292, p<0.001) were the significant predictors of global PSQI score. Conclusions: This study concludes that in medical students smartphone addiction affects sleep quality significantly and males are particularly more at risk of having poor sleep quality due to excessive smartphone use.  

scholarly journals Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Creative Commons

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Influence of Sleeping Patterns in Health and Academic Performance Among University Students

2020 ◽  
Vol 17 (8) ◽  
pp. 2760
Author(s):  
María Dolores Toscano-Hermoso ◽  
Félix Arbinaga ◽  
Eduardo J. Fernández-Ozcorta ◽  
Juan Gómez-Salgado ◽  
Carlos Ruiz-Frutos
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Ex Post ◽  
Small Effect Size ◽  
The Relationship

Sleep problems in university students are important and have implications for health, quality of life, and academic performance. Using an ex post facto design, a total sample of 855 students (55.7% women) participated in the study. Sleep assessment was conducted using the Pittsburgh Sleep Quality Index, the Nightmare Frequency Scale, the Nightmare Proneness Scale, and the Composite Morningness Scale. Women show a higher risk [OR = 2.61] of presenting poor sleep quality (> 5 points on the PSQI) compared with men (p < 0.001). Similarly, women reported a greater frequency of nightmares (p < 0.001, d = 0.60), greater propensity for nightmares (p < 0.001, d = 0.70) and a higher score on Item-5h of the PSQI regarding nightmares (p < 0.001, d = 0.59). Women, compared with men, show higher risk [OR = 2.84] for a sleep disorder related to nightmares (p = 0.012). Women need more time to reach a state of alertness after getting up (p = 0.022), and there was an interaction between sex and the alertness factor when evaluating the subjective quality of sleep (p = 0.030). Women show worse sleep quality and a higher frequency and propensity for suffering nightmares. When considering the relationship between sleep quality and academic performance, it is observed that students with poor sleep quality obtain lower academic scores (M = 7.21, SD = 0.805) than those with good sleep quality (M = 7.32, SD = 0.685), an effect that reaches significance (t = 2.116, p = 0.035). Regarding the relationship between the categorized chronotype and academic performance, students with a morning chronotype achieve better academic results (M = 7.41, SD = 0.89) than their evening counterparts (M = 7.15, SD = 0.76), although these differences have a small effect size (d = 0.31).

scholarly journals Problematic Smartphone Use and Aggressive Behavior Among University Students: The Mediating Role of Sleep Disturbance

2021 ◽  
Vol 11 (3) ◽  
pp. 157-164
Author(s):  
Salman Zarei ◽  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Aggressive Behavior ◽  
Smartphone Addiction ◽  
Problematic Smartphone Use ◽  
Mediating Role ◽  
Smartphone Use ◽  
The Relationship

Background: Despite several benefits, research has found that problematic smartphone use is positively associated with behavioral problems. However, the internal mechanisms underlying this relationship need further investigation. So, the current study aimed to investigate the mediating role of sleep disturbance in the relationship between problematic smartphone use and aggression. Methods: The research design was descriptive-correlational. Also, the study population included the male university students of the Islamic Azad University of South Tehran Branch in the academic year of 2019-2020. Using the convenience sampling method, a total number of 213 participants from two faculties (Faculty of Human Sciences and Faculty of Law and Political Sciences) were selected and tested by Buss-Perry Aggression Questionnaire, Smartphone Addiction Scale-Short Version, and Pittsburgh Sleep Quality Index. Then, the Pearson correlation and path analysis were conducted to analyze the data. Results: The results revealed the significant and direct effects of problematic smartphone use on aggression (β=0.12, P<0.05), sleep quality on aggression (β=0.37, P<0.001), and problematic smartphone use on sleep disturbance (β=0.42, P<0.001). Also, sleep quality significantly mediated in the relationship between problematic smartphone use and aggression (β=0.15, P<0.01). Conclusion: According to the present findings, problematic smartphone use and sleep disturbance are two important factors affecting aggressive behavior among university students. These findings highlight the critical role of early intervention for aggression with a focus on those with problematic smartphone use and more specifically those with sleep disturbance.

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.

scholarly journals Understanding factors relevant to poor sleep and coping methods in people with schizophrenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yen-Ching Chang ◽  
Megan C. Chang ◽  
Yun-Jou Chang ◽  
Ming-De Chen
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Mental Health Professionals ◽  
Sleep Problems ◽  
Psychiatric Symptoms ◽  
Structured Interview ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Coping Methods

Abstract Background Sleep disruption is pervasive in people with schizophrenia, but few studies have explored their sleep experiences. This study aims to identify factors relevant to sleep problems and explore coping methods used by community-dwelling people with schizophrenia. Methods Eighteen participants with schizophrenia were recruited from three mental health centers in Taiwan. They completed a semi-structured interview and the Pittsburgh Sleep Quality Index (PSQI) assessment. The Person-Environment-Occupation model offered a framework to assess factors related to sleep. Thematic analysis was used for the qualitative data analysis. Results Factors related to sleep were classified under person, environment, and occupation domains. The person domain included three subthemes: psychiatric symptoms, unpleasant emotions, and frustration about sleep. The environment domain included three subthemes: sensory intrusions from the environment, quality of bedding, and roommates. The occupation domain included sleep interruption and sleep preparation. There were notable discrepancies in sleep quality between the participants’ narratives and their PSQI global scores. Regarding coping methods for poor sleep, sleep medication was the primary strategy while some participants also used other strategies, such as modifying the environment, adjusting routines, or engaging in activities that improve sleep quality. Conclusions Psychiatric symptoms and nightmares were identified as unique sleep disruptions in people with schizophrenia, and poor economic status was also found to impact their sleep. The sleep quality of people with schizophrenia tends to be poor, as identified by the PSQI, even though they may have positive perceptions of their sleep quality. Our participants appeared to prefer to take hypnotics to address their sleep problems, which may be due to limited knowledge about alternatives. Mental health professionals are encouraged to receive training in the application of non-pharmacological approaches to support their clients’ issues related to sleep.

scholarly journals Gambling Problems Are Associated with Alcohol Misuse and Insomnia: Results from a Representative National Telephone Survey

2021 ◽  
Vol 18 (13) ◽  
pp. 6683
Author(s):  
Hannah Briony Thorne ◽  
Matthew Justus Rockloff ◽  
Sally Anne Ferguson ◽  
Grace Elizabeth Vincent ◽  
Matthew Browne
Keyword(s):  
At Risk ◽  
Alcohol Consumption ◽  
Sleep Quality ◽  
Problem Gambling ◽  
Alcohol Misuse ◽  
Sleep Problems ◽  
Online Gambling ◽  
Poor Sleep ◽  
Gambling Problems ◽  
Poor Sleep Quality

Gambling has significant costs to the community, with a health burden similar in scale to major depression. To reduce its impact, it is necessary to understand factors that may exacerbate harm from gambling. The gambling environment of late-night licensed venues and 24/7 online gambling has the potential to negatively impact sleep and increase alcohol consumption. This study explored gambling, alcohol, and sleep problems to understand whether there is a relationship between these three factors. Telephone interviews were conducted with a representative sample of Australian adults (n = 3760) combined across three waves of the National Social Survey. Participants completed screening measures for at-risk gambling, at-risk alcohol consumption, insomnia (2015 wave only), and sleep quality. There were small but significant positive correlations between problem gambling and alcohol misuse, problem gambling and insomnia, and problem gambling and poor sleep quality. A regression model showed that gambling problems and alcohol misuse were significant independent predictors of insomnia. A separate regression showed gambling problems (and not alcohol misuse) were a significant predictor of poor sleep quality, but only in one survey wave. Findings suggest that gambling, alcohol, and sleep problems are related within persons. Further research should examine the mechanisms through which this relationship exists.

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