Poor Sleep Quality Differences Among Adolescents With Smartphone Addiction Compared To Adolescents Without Smartphone Addiction

2021 ◽  
Vol 9 (1) ◽  
pp. 1-6
Author(s):  
Irwina Angelia Silvanasari ◽  
Hella Meldy Tursina
Keyword(s):  
Sleep Quality ◽  
High Rate ◽  
Smartphone Addiction ◽  
Short Version ◽  
P Value ◽  
Poor Sleep ◽  
Test Results ◽  
Poor Sleep Quality ◽  
School Students ◽  
Cross Sectional

Introduction: An adolescent aggregate is an age group with a high rate of smartphone addiction. Poor sleep quality in adolescents is one of the negative effects resulting from smartphone addiction Objective: To analyse poor sleep quality differences among adolescents with smartphone addiction compared to those without Methods: Analytical observational design with a cross-sectional approach was used in this study, involving 165 secondary school students as the participants. Study variables include smartphone addiction and poor sleep quality. The instruments used for data collection are the Pittsburgh Sleep Quality Index (PSQI) questionnaire and the Smartphone Addiction Scale: Short Version (SAS-SV). The statistical analysis performed was the Mann Whitney test. Results: The statistical test results obtained a p-value < alpha (0,000 < 0,05), which means at a 95% confidence level, there was a difference in the poor sleep quality score between adolescents with smartphone addiction compared to those without. Adolescents with smartphone addiction have higher poor sleep quality scores compared to adolescents without smartphone addiction. Conclusion: Adolescents should be able to limit the use of the smartphone according to their needs and minimise smartphone use before going to bed at night.

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 Dampak Kecanduan Smartphone Terhadap Kualitas Tidur Siswa SMP

JKEP ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 69-85
Author(s):  
Yupi Supartini ◽  
Puput Dwi Martiana ◽  
Titi Sulastri
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Statistical Test ◽  
High Rate ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Significance Level ◽  
Significant Difference

Excessive smartphone use has a higher risk of sleep disturbances and affects a person’s sleep quality.  The purpose of this research is to determine the relationship between respondent’s characteristics and smartphone addiction to the sleep quality of adolescents at Budi Cendikia Islamic School Depok.  This type of research is quantitative with a descriptive analytic approach and a cross sectional research design.  The population is all 359 students.  Sampling in this study using stratified random sampling technique with 112 respondents.  The SAS-SV questionnaire was used to measure the level of smartphone addiction, while the PSQI questionnaire was used to measure sleep quality in adolescents.  The statistical test used Chi Square and Mann Whitney with a significance level of α = 0.05.  The results of the univariate statistical test showed that most of the respondents were male (52.7%), 13 years old (35.7%), had a high rate of smartphone addiction (61.6%), and poor sleep quality (70.5%).  Meanwhile, the results of the bivariate statistical test showed that there was a significant difference between gender (p = 0.020) and smartphone addiction (p = 0.007) with sleep quality, but there was no significant difference between age and sleep quality (p = 0.938). This study concludes that there is a relationship between gender and smartphone addiction on students' sleep quality, but there is no relationship between age and sleep quality of students.  Hence, it is necessary to limit the use of smartphones so that smartphone addiction can be minimized and sleep quality is good.”

scholarly journals Sleep quality among students in Ibn Sina National College

2021 ◽  
Vol 8 (3) ◽  
pp. 1110
Author(s):  
Murad A. Yasawy ◽  
Rehab A. Mohammed ◽  
Mahmood A. Yasawy ◽  
Nada Mohammed Hafiz ◽  
Haneen A. Turkistani
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Statistical Correlation ◽  
Categorical Variables ◽  
P Value ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Ibn Sina

Background: Aim of the study was to assess the sleep quality among medical students and explore its relation to many variables as BMI, smoking and chronic diseases.Methods: A descriptive cross-sectional study, conducted among medical students at Ibn Sina national college, Jeddah, KSA. This study was approved by Research Center. A total of 408 participants; Participants are who admitted to hospital for last two days, pregnant and who under 18 years were excluded. We consider p value=0.05 as significant statistically and our confidant interval (CI) is 95%. We used bivariate and univariant variables, for categorical variables we used Chi-square and Fisher exact test.Results: The participants’ mean age was 22.6±2.7 (87.9%) of them were females. Most of our participants were Single (89.8%). A total of 85.9% of the students had poor sleep quality. Those who had less than 6 Hours of sleeping per day had poor sleep quality by 92.2% and statistically affecting their sleep quality p value =0.000. There was no statistically significant relation between sleep quality and academic year or with Gender (p=0.139, p=0.263) respectively. There was no statistical correlation between Sleep quality and Nightmares or Snoring (p value =0.063, 0.055) respectively.Conclusions: Poor sleep quality was prevalent in all class years of the undergraduate medical course and more common between females. This study revealed high prevalence of poor sleep quality. Sleep educational programs, stress management courses and lifestyles modifications are required.

scholarly journals Perilaku penggunaan gadget dengan kualitas tidur pada remaja

2019 ◽  
Vol 13 (3) ◽  
pp. 233-239
Author(s):  
Umi Romayati Keswara ◽  
Novrita Syuhada ◽  
Wahid Tri Wahyudi
Keyword(s):  
Sleep Quality ◽  
Univariate Analysis ◽  
Smartphone Addiction ◽  
P Value ◽  
Poor Sleep ◽  
Research Subjects ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Psychological Behavior

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.  

scholarly journals Obstructive Sleep Apnea and Its Association with Sleep Quality, Daytime Sleepiness, Depression and Attention Span

2021 ◽  
Vol 16 (1) ◽  
pp. 163-176
Author(s):  
Suzaily Wahab ◽  
Keyword(s):  
Sleep Quality ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
P Value ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Attention Span ◽  
Obstructive Sleep ◽  
Impaired Attention

Obstructive sleep apnoea (OSA) has multiple physical and psychosocial effects on individuals. Therefore, this study aims to determine the sleep quality, daytime sleepiness, depression and attention span in patients with OSA. This was a cross-sectional study among patients who were recently diagnosed with OSA in a Malaysian hospital. The socio-demographic and clinical data, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Patients Health Questionnaire and Comprehensive Trail Making Test were used as instruments. Findings were analysed and presented using Chi-Square, One-Way ANOVA and Independent- Sample T-test statistical analyses. Most of the respondents presented with poor sleep quality and impaired attention span. Approximately, half of the respondents had excessive daytime sleepiness. There were significant associations between sleep quality and daytime sleepiness (p-value=0.051), daytime sleepiness with depression (p-value=0.049) and severity of OSA with depression (p-value=0.026). Daytime sleepiness was significantly associated with working status (p-value=0.009) and driving status (p-value=0.033). In conclusion, most patients with OSA had poor sleep quality, excessive daytime sleepiness, and impaired attention span. Hence, OSA should be diagnosed and treated early, particularly in patients who are still working and actively driving.

scholarly journals Hubungan Tingkat Stres dengan Kualitas Tidur pada Ibu Preeklamsi di Wilayah Kerja Puskesmas Tempurejo-Jember

2021 ◽  
Vol 9 (1) ◽  
pp. 16
Author(s):  
Dyan Ayu Pusparini ◽  
Dini Kurniawati ◽  
Enggal Hadi Kurniyawan
Keyword(s):  
Sleep Quality ◽  
Community Health Center ◽  
P Value ◽  
Poor Sleep ◽  
Mild Stress ◽  
Poor Sleep Quality ◽  
Birth Process ◽  
Cross Sectional ◽  
Stress Levels

Preeclampsia is some of the symptoms that occur in pregnancy, childbirth, and puerperal women, which are characterized by hypertension, edema, and increased proteinuria. Preeclampsia usually occurs when pregnancy enters the age of 20 weeks to 48 hours after the birth process. In that condition, there are undesirable complications during pregnancy that can make mothers more vulnerable to psychological disorders, one of which is stress. Stress experienced during pregnancy can affect the health of the baby and can also improve poor sleep quality. This study aims to analyze the relationship of stress levels with the quality of preeclampsia sleep in the Tempurejo Community Health Center in Jember. This research was conducted on 31 preeclampsia mothers using a correlational research design with a cross-sectional approach and total sampling techniques. Data collection using questionnaires stress and sleep quality. The results showed 19 (61.3)% of respondents experienced mild stress, and 26 (83.9)% experienced poor sleep quality. The results of data analysis using the spearmen statistical test obtained p-value 0.001 and r = 0.894, which means there is a relationship between stress levels and sleep quality or ha is accepted. R-value = 0.396 means that the correlation between stress levels and sleep quality in preeclampsia has a positive correlation with weak correlation strength. Nursing implications for further research can intervene in interventions that can reduce stress levels with the quality of sleep in preeclampsia mothers to reduce the factors of preeclampsia.

scholarly journals Association between depression, anxiety, and stress with sleep quality in Indonesian people during the COVID-19 pandemic

2021 ◽  
Vol 7 (2) ◽  
pp. 58-66
Author(s):  
Teresa Mika Argo ◽  
Andree Kurniawan ◽  
Jean Andrina Liem ◽  
Jeremy Octavian Sugianto ◽  
Rafael Jonathan Michael ◽  
...  
Keyword(s):  
High School Students ◽  
Sleep Quality ◽  
Large Scale ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
School Students ◽  
Cross Sectional

Background: To prevent the spread of COVID-19, authorities implemented health protocols such as quarantine, large-scale social restrictions, and lockdowns. Data on the psychological effects and sleep quality as a result of these health protocols are still limited.Objective: This study was aimed to determine the association between depression, anxiety, and stress with sleep quality during the COVID-19 pandemic in Indonesia.Methods: An online survey was used to do a cross-sectional study among students in Indonesia. Sociodemographic information, including age, gender, religion, level of education, and regions, was analyzed. Levels of depression, anxiety, and stress were measured using the DASS-21 questionnaire. Sleep quality was determined using Pittsburgh Sleeping Quality Index (PSQI) questionnaire. Chi-square was used to evaluate the variables for bivariate analysis and logistic regression for multivariate analysis.Results: A total of 913 participants from across Indonesia included to this study. Adolescent (OR=0.367, 95% CI=0.199-0.679), female (OR=1.437, 95% CI=1.095-1.886), and high school students (OR= 0.737, 95% CI=0.544-0.999) had a higher risk for having poor sleep quality. In the multivariate analysis there were significant relationship between sleep quality with depression (Adjusted OR= 1.887, 95% CI=1.330-2.679), anxiety (Adjusted OR=1.731, 95% CI=1.221-2.455), stress (Adjusted OR= 2.577, 95% CI=1.617-4.107), use of sleeping medication (Adjusted OR=9.070, 95% CI=2.062-39.896) and age (Adjusted OR= 0.414, 95% CI= 0.205-0.837).Conclusion: There was an association between depression, anxiety, stress, consumption of sleeping medication, age, and poor sleep quality during the pandemic in Indonesia.

scholarly journals Sleep Quality and Its Health Correlates Among Egyptian Secondary School Students

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Dalia M. Ismail ◽  
Dalia G. Mahran ◽  
Ali H Zarzour ◽  
Ghaydaa A. Sheahata
Keyword(s):  
Secondary School ◽  
Sleep Quality ◽  
Secondary School Students ◽  
Short Form ◽  
Demographic Data ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
School Students ◽  
Cross Sectional

The objective of the recent study was to determine the prevalence of poor sleep quality and to assess its psychological and general health correlates among secondary school students in the city of Assiut, Egypt. A cross sectional study was conducted among 829 secondary school students (selected by multistage stratified random sampling) aged 15–19 years in Assiut. Students filled in a self-administered questionnaire that included demographic data, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, general perception of health, and the short form of Depression Anxiety and Stress Scale. The prevalence of poor sleep quality (PSQI >5) was 72.5%. The mean PSQI score was 7.35 ± 2.94 standard deviation. Poor sleep quality was higher among females, urban residents and public school students. Correlates of poor sleep by multivariate analysis were age, urban residence, public education, mild to moderate and severe to very severe anxiety symptoms, severe to very severe depressive symptoms, excessive daytime sleepiness, and feeling fully active sometimes and not active at any time. Poor sleep quality was alarmingly highly prevalent among secondary school students, with significant health consequences. Increasing the awareness of the community especially adolescents, parents, and school teachers about healthy sleep is an essential priority.

scholarly journals The Association Between Smartphone Addiction and Sleep: A UK Cross-Sectional Study of Young Adults

2021 ◽  
Vol 12 ◽  
Author(s):  
Sei Yon Sohn ◽  
Lauren Krasnoff ◽  
Philippa Rees ◽  
Nicola J. Kalk ◽  
Ben Carter
Keyword(s):  
Young Adults ◽  
Sleep Quality ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Short Version ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Reduction Strategies ◽  
Adjusted Logistic Regression

Background: In a large UK study we investigated the relationship between smartphone addiction and sleep quality in a young adult population.Methods: We undertook a large UK cross-sectional observational study of 1,043 participants aged 18 to 30 between January 21st and February 30th 2019. Participants completed the Smartphone Addiction Scale Short Version, an adapted Pittsburgh Sleep Quality Score Index and reported smartphone use reduction strategies using both in-person (n = 968) and online (n = 75) questionnaires. A crude and adjusted logistic regression was fitted to assess risk factors for smartphone addiction, and the association between smartphone addiction and poor sleep.Results: One thousand seventy one questionnaires were returned, of which 1,043 participants were included, with median age 21.1 [interquartile range (IQR) 19–22]. Seven hundred and sixty three (73.2%) were female, and 406 reported smartphone addiction (38.9%). A large proportion of participants disclosed poor sleep (61.6%), and in those with smartphone addiction, 68.7% had poor sleep quality, compared to 57.1% of those without. Smartphone addiction was associated with poor sleep (aOR = 1.41, 95%CI: 1.06–1.87, p = 0.018).Conclusions: Using a validated instrument, 39% young adults reported smartphone addiction. Smartphone addiction was associated with poor sleep, independent of duration of usage, indicating that length of time should not be used as a proxy for harmful usage.

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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