scholarly journals Survey of the effects of internet usage on the happiness of Japanese university students

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Momoko Kitazawa ◽  
Michitaka Yoshimura ◽  
Hidefumi Hitokoto ◽  
Yuka Sato-Fujimoto ◽  
Mayu Murata ◽  
...  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Multiple Regression ◽  
Internet Use ◽  
Poor Sleep ◽  
Regression Analyses ◽  
Japanese People ◽  
Japanese University ◽  
The Impact ◽  
The Relationship

Abstract Background Besides research on psychiatric diseases related to problematic Internet use (PIU), a growing number of studies focus on the impact of Internet on subjective well-being (SWB). However, in previous studies on the relationship between PIU and SWB, there is little data for Japanese people specifically, and there is a lack of consideration for differences in perception of happiness due to cultural differences. Therefore, we aimed to clarify how happiness is interdependent on PIU measures, with a focus on how the concept of happiness is interpreted among Japanese people, and specifically among Japanese university students. Methods A paper-based survey was conducted with 1258 Japanese university students. Respondents were asked to fill out self-report scales regarding their happiness using the Interdependent Happiness Scale (IHS). The relationship between IHS and Internet use (Japanese version of the Internet addiction test, JIAT), use of social networking services, as well as social function and sleep quality (Pittsburgh Sleep Quality Index, PSQI) were sought using multiple regression analyses. Results Based on multiple regression analyses, the following factors related positively to IHS: female gender and the number of Twitter followers. Conversely, the following factors related negatively to IHS: poor sleep, high- PIU, and the number of times the subject skipped a whole day of school. Conclusions It was shown that there was a significant negative correlation between Japanese youths’ happiness and PIU. Since epidemiological research on happiness that reflects the cultural background is still scarce, we believe future studies shall accumulate similar evidence in this regard.

scholarly journals Quality of sleep among university students: effects of nighttime computer and television use

2010 ◽  
Vol 68 (5) ◽  
pp. 720-725 ◽  
Author(s):  
Gema Mesquita ◽  
Rubens Reimão
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Internet Use ◽  
Television Viewing ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Television Use ◽  
The Relationship

This descriptive, cross-sectional study was based on subjective questionnaires that assessed nighttime habits of television viewing and Internet use during weekdays and perceived sleep quality among university students. Sleep perception was measured using the Pittsburgh Sleep Quality Index (PSQI). The study group comprised 710 university students aged 17-25 years. Analysis of sleep perception in relation to internet use revealed that 58.06% of subjects who accessed the internet between 19:00 and 21:00 slept poorly; 71.43% between 19:00 and 22:00; 73.33% between 19:00 and 24:00; and 52.38% between 19:00 and 03:00 (p=0.0251). Concerning the relationship between television exposure and perceived sleep, the groups did not differ from each other (p=0.9303). This study showed that internet use between 19:00 and 24:00 increases the risk of poor sleep among young adults, in comparison with television viewing times.

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 Association between Sleep Quality and Duration and Periodontal Disease among University Students: A Cross-Sectional Study

2020 ◽  
Vol 17 (9) ◽  
pp. 3034
Author(s):  
Md Monirul Islam ◽  
Daisuke Ekuni ◽  
Naoki Toyama ◽  
Ayano Taniguchi-Tabata ◽  
Kota Kataoka ◽  
...  
Keyword(s):  
Periodontal Disease ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Pocket Depth ◽  
Cross Sectional ◽  
Japanese University

The purpose of this cross-sectional study was to investigate the association between sleep quality and duration, and periodontal disease among a group of young Japanese university students. First-year students (n = 1934) at Okayama University who voluntarily underwent oral health examinations were included in the analysis. Sleep quality and duration were assessed by the Japanese version of the Pittsburgh Sleep Quality Index. Dentists examined Oral Hygiene Index-Simplified (OHI-S), probing pocket depth (PPD), and percentage of sites with bleeding on probing (BOP). Periodontal disease was defined as presence of PPD ≥ 4 mm and BOP ≥ 30%. Overall, 283 (14.6%) students had periodontal disease. Poor sleep quality was observed among 372 (19.2%) students. Mean (± standard deviation) sleep duration was 7.1 ± 1.1 (hours/night). In the logistic regression analysis, periodontal disease was significantly associated with OHI-S (odds ratio [OR]: 2.30, 95% confident interval [CI]: 1.83–2.90; p < 0.001), but not sleep quality (OR: 1.09, 95% CI: 0.79–1.53; p = 0.577) or sleep duration (OR: 0.98, CI: 0.87–1.10; p = 0.717). In conclusion, sleep quality and duration were not associated with periodontal disease among this group of young Japanese university students.

scholarly journals The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control

2018 ◽  
Vol 15 (3) ◽  
pp. 210-219 ◽  
Author(s):  
Onala Telford ◽  
Clarissa J Diamantidis ◽  
Hayden B Bosworth ◽  
Uptal D Patel ◽  
Clemontina A Davenport ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Diabetes Control ◽  
Poor Sleep ◽  
Medication Nonadherence ◽  
Mediating Factor ◽  
The Impact ◽  
The Relationship

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.

scholarly journals Good Sleep Quality Improves the Relationship Between Pain and Depression Among Individuals With Chronic Pain

2021 ◽  
Vol 12 ◽  
Author(s):  
Zoe Zambelli ◽  
Elizabeth J. Halstead ◽  
Antonio R. Fidalgo ◽  
Dagmara Dimitriou
Keyword(s):  
Chronic Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Pain Severity ◽  
Pain Interference ◽  
Poor Sleep ◽  
Regression Analyses ◽  
Cross Sectional Survey ◽  
The Relationship ◽  
Good Sleep

Individuals with chronic pain often experience co-existing sleep problems and depression-related states. Chronic pain, sleep problems, and depression interrelate, and have been shown to exacerbate one another, which negatively impacts quality of life. This study explored the relationships between pain severity, pain interference, sleep quality, and depression among individuals with chronic pain. Secondly, we tested whether sleep quality may moderate the relationship between pain and depression. A cross-sectional survey was completed by 1,059 adults with non-malignant chronic pain conditions (Mage 43 years, 88% identified as women) and collected measures related to pain severity, pain interference, sleep quality, and depression. Multiple regression analyses found that pain severity, pain interference, and sleep quality are all significantly associated with depression. Secondly, moderated regression analyses revealed that sleep quality moderates the relationship between pain interference and depression among individuals with chronic pain such that good sleep quality attenuates the effect of pain interference on depression, and poor sleep quality amplifies the effect of pain interference on depression. These findings suggest that sleep quality may be a relevant therapeutic target for individuals with chronic pain and co-existing depression.

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 Exploring the relationship of sleep quality with drug use and substance abuse among university students: a cross-cultural study

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Fahmi Hassan Fadhel
Keyword(s):  
Substance Abuse ◽  
Drug Use ◽  
University Students ◽  
Sleep Quality ◽  
Social Life ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Abstract Background There is a growing interest in studying the area of drugs and college students due to the negative effects that drugs have on a student’s social life, academics, psychology, finances, and health. So, this study aims to identify the relationship between drug/substance abuse and quality of sleep among university students in Yemen and Saudi Arabia. The sample size was 935 (43.21% N = 404 female, 56.79% N = 531 male, 55.40% N = 518 Yemeni, and 44.60% N = 417 Saudi). Students responded to the Drug Abuse Screening Test (DAST-10), the Pittsburgh Sleep Quality Index (PSQI), and the Substance Abuse Questionnaire. Results The results showed a high prevalence of drug use: 43.1% of respondents (27.27% N = 219 Yemenis and 15.83% N = 148 Saudis) abuse drugs, 29.41% were in the low level of drug use, 10.48% were in the moderate level of drug use, 2.46% were in the substantial level of drug, and 0.75% were in the severe level of drug use as per the DAST-10. The differences between both countries in terms of drug use were significant (X2 19.394, P < 0.001). The prevalence rate of inhalants was 16.36% and of sedatives was 12.09%, and the differences between countries were significant. The prevalence of poor sleep quality was 24.81%; a total of 7.91% of respondents had very poor sleep quality, while 16.90% had poor sleep quality. The differences between countries were not significant. The relationship between sleep quality and drug use, smoking, and substance abuse was significant. The quality of sleep decreased consistently with a high level of drug use or substance abuse. Conclusions Poor sleep quality is significantly associated with drug use and substance abuse, and it is important to recognize the factors affecting drug and substance abuse among university students. A significant contribution can make for the protection of university students by guaranteeing that psychological interventions for high-risk groups are planned in advance.

scholarly journals Relation between sleep quality and metabolic syndrome among university students

2015 ◽  
Vol 24 (2) ◽  
pp. 505-512 ◽  
Author(s):  
Márcio Flávio Moura de Araújo ◽  
Roberto Wagner Júnior Freire de Freitas ◽  
Adman Câmara Soares Lima ◽  
Dayse Cristina Rodrigues Pereira ◽  
Maria Lúcia Zanetti ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
University Students ◽  
Sleep Quality ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Sleep ◽  
The University ◽  
Robust Poisson Regression ◽  
The Relationship ◽  
Transversal Study

This transversal study aimed to analyze the relationship between poor sleep quality and metabolic syndrome among university students. The sleep quality and the components of metabolic syndrome of 701 university students from Fortaleza, Brazil, were evaluated during 2011 and 2012. In the evaluation of the scale of the associations, robust Poisson regression was used, adjusted for sex and age. The prevalence of metabolic syndrome and poor quality sleep was 1.7% and 95.3% respectively. There was an increase in risk of 5% of developing metabolic syndrome among those university students who slept poorly (p=0.013). It is concluded that the university students in the sample who were poor sleepers present a greater probability of presenting metabolic syndrome.

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 P131 The impact of an online sleep education program on university students’ sleep knowledge, attitudes, and behaviours

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A64-A64
Author(s):  
C Semsarian ◽  
G Rigney ◽  
P Cistulli ◽  
Y Bin
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Behavioural Change ◽  
Poor Sleep ◽  
Sleep Education ◽  
Before And After ◽  
Students Attitudes ◽  
The Impact

Abstract Introduction Sleep is essential for optimising health and academic performance, yet university students consistently report poor sleep quality. We conducted a before-and-after study to determine if an interactive, online sleep course improved sleep (1) knowledge, (2) attitudes, and (3) behaviours among university students. Methods Undergraduate students completed the course from August-November 2020. The course involved activities that encouraged students to reflect on their own sleep behaviours and goals. Baseline data was collected through course surveys and students were invited to complete a 6-month follow-up survey via email. Results N=212 students completed the baseline questionnaires and n=75 (35%) completed the follow-up survey. Students retained at follow-up possessed higher baseline sleep knowledge and received higher grades. At 6-months follow-up, sleep knowledge increased from baseline (mean quiz score: 60 vs 84%, p&lt;0.001). 85% of students aimed to increase their sleep knowledge at baseline and 91% reported that they were more knowledgeable at follow-up. 83% of students aimed to improve their sleep at baseline and 37% reported improvement at follow-up. 53% of students’ attitudes towards their sleep behaviours had changed from baseline. There was reduction in sleep latency (mean 33.3 vs 25.6min, p=0.015), but no change in total Pittsburgh Sleep Quality Index score at follow-up. Discussion Completion of an interactive sleep education course led to increased sleep knowledge and changes in sleep attitudes, with no meaningful change in sleep behaviours. Future interventions require careful design and evaluation, and should consider components of behavioural change (e.g. motivation, triggers) that go beyond the knowledge-attitudes-behaviour continuum.

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