scholarly journals Relationship between Sleep, Digital Usage and Emotional States in Thai Occupational Therapy Students

2021 ◽  
Vol 16 (4) ◽  
pp. 116-124
Author(s):  
Winai Chatthong ◽  
Supalak Khemthong ◽  
Maliwan Rueankam

INTRODUCTION: Occupational imbalance of overloaded online education and sleep deprivation has been complained by Thai occupational therapy students (OTS) during the worldwide pandemic of coronavirus disease 2019 (COVID-19) e.g., feeling asleep in the classroom, inactive engagement in problem-based learning. METHODS: This cross-sectional study aims to survey the OTS (n = 52 out of 128) regarding many standardized tools: smartphone addiction, internet addiction, sleep quality, sleep hygiene, and emotional states. Data analysis includes Pearson’s and Spearman’s rank-order correlations, Chi-square tests, and calculation of point prevalence rates. RESULTS: A strong correlation of smartphone and internet addiction was found (r = 0.703, p < 0.001). Moderate correlations were addressed including sleep quality and smartphone addiction (r = 0.566), sleep quality and stress (r = 0.574), sleep quality depression (r = 0.554), and anxiety and smartphone addiction (r = 0.512). This study has reported point prevalence rates, such as 23.44% poor sleep quality, 17.96% smartphone addiction, and 7.81% anxiety. CONCLUSION: The unwell sleep OTS are gaining comorbidities of smartphone and internet addiction and negative emotional states than those well sleep OTS. A restoration of occupational balance will be required for those poor sleep quality and anxiety.

PLoS ONE ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. e0174619 ◽  
Author(s):  
Kiwon Kim ◽  
Haewoo Lee ◽  
Jin Pyo Hong ◽  
Maeng Je Cho ◽  
Maurizio Fava ◽  
...  

2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis

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.


2019 ◽  
Vol 13 (3) ◽  
pp. 233-239
Author(s):  
Umi Romayati Keswara ◽  
Novrita Syuhada ◽  
Wahid Tri Wahyudi

Electronic gadgets, psychological behavior and quality of sleep among adolescent Background: In the development stage, adolescents are faced with problems of health problems including poor sleep quality. Globally, the prevalence of sleep quality disorders in the world varies from 15.3% to 39.2%. Data in Indonesia shows that most of the quality of sleep in adolescents is less than 63%. Poor quality of sleep can harm health. Factors that can cause poor sleep quality include the use of gadgets, where 80% say using gadgets> 4 hours 17 minutes a day.Purpose: Known the electronic gadgets, psychological behavior and quality of sleep among adolescent.Methods: The type of research used in this study was quantitative. The design of this study used analytics. The research subjects were class X and XI students at SMKN 1 Terbanggi Besar, Central Lampung, totaling 119 people. Collect data with the Pittsburgh Sleep Quality Index (PSQI) questionnaire and Smartphone Addiction Scale (SAS). The statistical test uses the chi-square test.Results: Univariate analysis was obtained by the majority of respondents who had bad behavior in using gadgets, as many as 68 people (57.1%) and most respondents had poor sleep quality, as many as 77 people (64.7%). Analysis data resulted p-value = 0,000 and OR = 4,696.Conclusion: There were the electronic gadgets, psychological behavior and quality of sleep among adolescent. The advice is to increase health promotion counseling about sleep patterns and the excessive use of gadgets, and for schools to set regulations on the ban on the use of gadgets in-class hours. Keywords  : Quality of Sleep, Gadgets, Adolescent; Psychological; BehaviorPendahuluan: Dalam tahap perkembangannya, remaja dihadapkan pada masalah-masalah kesehatan diantaranya kualitas tidur yang buruk. Secara global menunjukkkan prevalensi gangguan kualitas tidur di dunia bervariasi mulai 15,3% - 39,2%. Data di Indonesia menunjukan sebagian besar kualitas tidur pada remaja kurang terpenuhi yaitu sebanyak 63%. Buruknya kualitas tidur dapat menimbulkan dampak negatif bagi kesehatan. Faktor yang dapat menyebabkan kualitas tidur yang buruk diantaranya adalah penggunaan gadget, dimana 80% menyatakan meggunakan gadget > 4 jam 17 menit dalam sehari.Tujuan: Diketahui hubungan perilaku penggunaan gadget dengan kualitas tidur pada remaja.Metode: Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan rancangan menggunakan analitik. Subyek penelitian yaitu siswa kelas X dan XI di SMKN 1 Terbanggi Besar Lampung Tengah, yang berjumlah 119 responden. Cara pengambilan data dengan kuesioner Pittsburgh Sleep Quality Indeks (PSQI) dan Smartphone Addiction Scale (SAS). Uji stastistik menggunakan uji chi-square.Hasil: Sebagian besar responden memiliki perilaku penggunaan gadget yang tidak baik, yaitu sebanyak 68 orang (57,1%) dan sebagian besar responden memiliki kualitas tidur yang buruk, yaitu sebanyak 77 orang (64,7%). Hasil uji statistik diperoleh p-value = 0,000 dan OR= 4,696.Simpulan: Ada hubungan perilaku penggunaan gadget dengan kualitas tidur pada remaja. Perlu lebih ditingkatkannya promosi kesehatan konseling tentang pola tidur dan dampak penggunaan gadget secara berlebihan, serta bagi pihak sekolah dapat menetapkan peraturan tentang larangan penggunaan gadget di jam pelajaran.  


Author(s):  
Bahram KOUHNAVARDT ◽  
Marjan ASDIAR ◽  
Marzieh HONARBAKHSH ◽  
Mohammad Reza ZARE ◽  
Zahra SHAHMOHAMMADI

Introduction: Internet addiction has a negative effect on mental health and leads to clinical discomfort and disorder. Therefore, this study was conducted to investigate the relationship between Internet addiction with sleep quality and depression in dormitory students. Methods: This study was a descriptive-analytical study. Since all students living in dormitories participated in this study (95 people), the sampling method was census. The study used three Young Internet addiction questionnaires, the Goldberg Depression Inventory, and the Petersburg Sleep Quality Questionnaire. For statistical analysis of data, descriptive statistics such as mean, standard deviation and also analytical statistical tests such as one-way analysis of variance with SPSS 22 software were used. Results: Among the students studied, 63 (66.3%) were normal in terms of Internet addiction, 31 (32.6%) were mildly addicted and 1 was severely addicted to the Internet. The study of depression among students showed that out of 95 people, 22 people have mild to moderate depression and 10 people have borderline depression. The mean score of students' sleep quality was 7.38 ± 2.88 and there was a significant relationship between it and Internet addiction (P <0.001) Discussion and Conclusion: Given the prevalence of Internet addiction among students and its significant association with depression and poor sleep quality, the necessary planning should be done to prevent this health problem.


Author(s):  
Mohammed C. A. Razik ◽  
Kariyarath Cheriyath Premarajan ◽  
Akkilgunta Sujiv ◽  
Jeby Jose Olickal

Background: College students are found to be heavy users of internet globally. Hence, present study was aimed to find the prevalence of internet addiction and the association of internet addiction with quality of sleep.Methods: An institution-based cross-sectional analytical study was conducted among arts and science college students of Puducherry, India. Two arts and science colleges selected and proportionate stratified sampling was used for selecting the students. Young's internet addiction scale and Pittsburgh sleep quality index were used as study tools.Results: A total of 497 students participated in the study. The median age was 19 years, and 56.3% were males. The prevalence of mild internet addiction was 42% (95% CI 37.9-46.6), and moderate addiction was 18.7% (95% CI 15.5-22.3). Prevalence of poor sleep quality was 63% (95% CI 58.8-67.3). After adjusting for the covariates, male gender had high internet addictions (2.24 95% CI 1.84-2.72, p<0.001). Students with internet addiction had 1.67 times poor sleep quality compared to their counterparts (p<0.001). Students from 20 to 24 years had poor sleep quality compared to18-19 years (p=0.040).Conclusions: There was a high prevalence of poor sleep quality among college students and was associated with internet addiction.


2021 ◽  
Vol 9 (4) ◽  
pp. 1002-1010
Author(s):  
Zhiqi You ◽  
Weijie Mei ◽  
Na Ye ◽  
Lu Zhang ◽  
Frank Andrasik

AbstractBackground and aimsNumerous studies have shown that people who have Internet addiction (IA) are more likely to experience poor sleep quality than people who do not. However, few studies have explored mechanisms underlying the relation between IA and poor sleep quality. As a first attempt to address this knowledge gap, a cross-sectional design was applied, and structural equation modeling was used to explore the direct relationship between IA and poor sleep quality, as well as the potential mediating roles of rumination and bedtime procrastination.MethodsA convenience sample, consisting of 1,104 Chinese University students (696 females or 63%), completed an online survey that included the following measures: Young’s 8-item Internet Addiction Diagnosis Questionnaire, the Pittsburgh Sleep Quality Index, the Ruminative Responses Scale, and the Bedtime Procrastination Scale.ResultsWhile the direct path between IA and poor sleep quality was not found to be significant, rumination and bedtime procrastination were each shown to separately mediate the predictive effect of IA on poor sleep quality. However, the greatest level of support was found for the sequential mediating effects of rumination and bedtime procrastination between IA and poor sleep quality.ConclusionWhile rumination and bedtime procrastination were both shown to be important independent mediators for the relation between IA and poor sleep quality, their combined effect was as great as either alone.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jennifer R. Brubaker ◽  
Aili Swan ◽  
Elizabeth A. Beverly

Abstract Background Perceived stress, burnout, and poor sleep quality are high among medical students. Interventions designed to target these issues are necessary to promote the health and well-being of medical students. The purpose of this study was twofold: 1) to assess the feasibility of implementing a sunrise alarm clock intervention with medical students and 2) to evaluate the impact of the intervention on perceived stress, burnout scores, and sleep quality. Methods We conducted a feasibility study to evaluate the efficacy of a two-week, sunrise alarm clock intervention in combination with electronic device removal at bedtime. We assessed first- and second-year medical students’ perceived stress, burnout scores, including Emotional Exhaustion, Depersonalization, and Low Sense of Personal Achievement, and sleep quality before and after the intervention. In addition, we measured smartphone addiction prior to the intervention. Results A total of 57 students consented to participate, of which 55 completed both the pre- and post-assessments (3.5% attrition). The mean age of the participants was 24.8 ± 1.9 years, 50.9% (n = 29) identified as women, and 68.4% (n = 39) identified as white. Pre-intervention, 42.1% (n = 24) of students met criteria for smartphone addiction and 77.2% (n = 44) met criteria for poor sleep quality. In addition, 22.8% (n = 13) of participants had high emotional exhaustion, 64.9% (n = 31) high depersonalization, and 42.1% (n = 24) low sense of personal accomplishment prior to the intervention. Following the two-week intervention, participants showed improvements in emotional exhaustion (p = 0.001, Cohen’s d = 0.353), depersonalization (p = 0.001, Cohen’s d = 0.411) low sense of personal accomplishment (p = 0.023, Cohen’s d = 0.275), perceived stress (p < .001, Cohen’s d = .334), and sleep quality (p < 0.001, Cohen’s d = 0.925). The number of participants who reported poor sleep quality decreased to 41.8% (n = 23), demonstrating a significant decline (p = 0.026). Participants also improved subjective sleep quality (p < 0.001, Cohen’s d = 1.033), sleep duration (p = 0.001, Cohen’s d = 0.431), sleep latency (p < 0.001, Cohen’s d = 0.433), and sleep efficiency (p = 0.021, Cohen’s d = 0.673). Conclusions These findings suggest that the two-week sunrise alarm clock protocol with electronic device removal was effective in improving sleep quality and reducing burnout scores, and perceived stress. However, additional research comparing this intervention to a proper control group is needed to draw meaningful conclusions about the effectiveness of this intervention.


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