scholarly journals The Impact of Mobile Devices on Sleep Quality among Subjects of Primary Health Care Settings in Riyadh, Saudi Arabia

2021 ◽  
Vol 18 (3) ◽  
pp. 567-574
Author(s):  
Ibrahim Muhaydib Al-Muhaydib ◽  
Bader AbdulAziz Al-Tulihi ◽  
Osamah Saleh Alnafisah ◽  
Abdulrahman Muhaidib Almuhaidib ◽  
Ammar Abdulkareem Al-Sayegh ◽  
...  

Introduction: Smartphone use has been related to health problems. Studies have indicated that the use of smartphones is associated with Sleep disturbances. However, little is known about the association between Smartphone addiction and sleep quality in Saudi Arabia.Objective: To determine the relationship between sleep quality and the use of a smartphone, specifically before sleep.Method: A cross-sectional study was conducted at four primary healthcare centers with a total of 205 patients participated in the study using a convenience sampling technique. The Pittsburgh Sleep Quality Index (PSQI) and Smartphone Addiction Scale – Short Version (SAS-SV) were used to measure association of Sleep Quality and Smartphone addiction.Results: Two-hundred-fiveparticipants enrolled in the study, of which 99 were female (51%) with a response rate of 84%. Mean age was 36 ±13 years for all participants. Mean PSQI scores were higher among females, single, frequent smartphone users, and unemployed sub- categories; thus, they indicated poorer sleep quality. There was also a significant negative association between age and PSQI scores t(193)= -2.45, p=0.015. Finally, there was a significant positive association between mean SAS-SV score and categorical global PSQI scores t(193)= 3.4, p=0.001.Conclusion: Our study showsahigh prevalence of smartphone addiction and poor sleep quality. Younger age, being single, heavy usage hours of smartphones, and high SAS-SV are significant factors associated with poorer sleep quality.

JKEP ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 69-85
Author(s):  
Yupi Supartini ◽  
Puput Dwi Martiana ◽  
Titi Sulastri

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.”


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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sei Yon Sohn ◽  
Lauren Krasnoff ◽  
Philippa Rees ◽  
Nicola J. Kalk ◽  
Ben Carter

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.


2021 ◽  
Vol 5 (1) ◽  
pp. 195-203
Author(s):  
Azzahra Brenda Tam ◽  
Aulia Chairani ◽  
Nurfitri Bustamam

Musculoskeletal disorders (MSDs) are a global problem. In Indonesia, the prevalence of MSDs that disrupts activities reaches 9.2% in office workers with complaints of the neck by 68%, upper back 62%, and lower back 60%. In developing countries, MSDs are the most common occupational diseases found in 40-95% of lecturers. In 2020, the COVID-19 pandemic in Indonesia resulted in the government implementing work from home (WFH) which caused 66.3% of workers to experience musculoskeletal pain. This can be caused by not fulfilling sleep which is a physiological need. It was found that 41.9% of adults experienced sleep disturbances which affected the emergence of MSDs complaints. This study aimed to determine the relationship between sleep quality and musculoskeletal complaints. This is an analytical study using a cross-sectional design towards the lecturers and educational staff at the Faculty of Medicine Universitas Pembangunan Nasional Veteran Jakarta. A sample size of 84 people was taken using the purposive sampling technique. Data were collected online using the PSQI for sleep quality and NMQ for musculoskeletal. The data were analyzed using SPSS software.The results showed that the majority of respondents were female (54.8%), had poor sleep quality (94%), and experienced musculoskeletal complaints (73.8%). The results of the Fisher test showed a significant relationship between sleep quality and musculoskeletal complaints (p = 0.016; OR = 13.5). Conclusion: The low quality of sleep in lecturers and educational staff increase the risk of developing musculoskeletal disorders.


2021 ◽  
Vol 9 (1) ◽  
pp. 1-6
Author(s):  
Irwina Angelia Silvanasari ◽  
Hella Meldy Tursina

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.


2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen

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.


2020 ◽  
Vol 10 (1) ◽  
pp. 11-17
Author(s):  
Khaled Suleiman ◽  
Tarek Al-Khaleeb ◽  
Mahmoud Al-Kaladeh ◽  
Loai Abu Sharour

Introduction: Sleep Quality disturbances are common among nurses especially those working in stressful situations such as emergency room. Additionally, sleep quality disturbances were found to interfere with nurses’ quality of life and work performance. No studies have found the effect of fluctuated shifts on sleep quality among nurses. Objectives: To examine the impact of shift fluctuations on sleep quality among nurses working in the emergency room. Methods: A cross-sectional, descriptive design was employed. Five emergency rooms were selected from public and private hospitals located in Amman, Jordan. The selected hospitals were also referral sites with capacity of more than 200 beds. A convenient sample of nurses who had a minimum of six months experience in the emergency room and working on rotating shifts were eligible for participation. Nurses with known chronic respiratory problems and sleep apnea were excluded. A self-administered questionnaire including a demographic and work-related questions, and the Arabic version of the Pittsburgh Sleep Quality Index were provided. Shift fluctuations were clustered based on interchanging between morning, evening and night shifts. Results: A total of 179 emergency nurses working in rotating shifts participated in the study. The majority of the nurses were poor sleepers. The study found no significant differences between different shifts interchange and sleep quality. However, interchange between morning and evening shift reported the highest sleep disturbance. Sleep quality was positively correlated with the length of experience, while negatively correlated with the age and the number of monthly shifts. Nurses who declared higher satisfaction and ability to work under pressure revealed better sleep quality. Conclusion: Emergency room nurses showed poor sleep quality. While there was no specific shift interchange cluster inducing poor sleep quality, some demographical and work-related characteristics indicated their influence on sleep quality.


2018 ◽  
Vol 21 (1) ◽  
pp. 294-311
Author(s):  
Neena R. Jain ◽  
Irfan A. Rizvi

The primary aim of this research article is to explore the relationship between corporate citizenship (CC) and organizational citizenship behaviour (OCB), specific to selected banks in India. The article has used multi-cross-sectional descriptive empirical data collected from a sample of 430 managers from selected banks in the public and private sectors. The instruments used are a scale developed by Maignan and Ferrell (2000) for CC and a scale developed by Lee and Allen (2002) for OCB. The results show a significant positive association between CC and OCB. Findings also reveal that the ethical and discretionary dimensions of CC are significant predictors of employee OCB. The article draws upon the data to see the impact of demographics on CC and OCB. The demographic variable of age in the organizations is found to have an impact on the employee perception of CC and also OCB demonstrated by them. The results highlight the need for strengthening CC practices in the organization and the role of managers in communicating strongly the citizenship practices adopted by the organization to foster positive work attitudes.


2016 ◽  
Vol 27 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Junxin Li ◽  
Binbin Yang ◽  
Miranda Varrasse ◽  
Kun Li

The objective of this study is to synthesize and evaluate the current body of sleep research among long-term care (LTC) residents in China and provide insights for future research. Systematic searches identified 15 studies that examined sleep in LTC residents in China. Sleep disturbances and poor sleep quality were prevalent in Chinese LTC residents. Eight cross-sectional studies reported that demographics, comorbidities, lifestyle, and environment were associated with sleep quality in Chinese LTC residents. Seven intervention studies, including exercise, traditional Chinese medicine, light therapy, and behavioral interventions resulted in improved sleep quality. Only subjective sleep measures were used in all 15 studies. Some methodological issues were identified in studies, especially those conducted in Mainland China. Sleep research in LTC residents in China is still at the beginning stages. Future studies should consider more rigorous designs and objective sleep measures, and develop target interventions based on factors associated with sleep disturbances.


Author(s):  
Ubaidullah Abid ◽  
Tooba Jawed Khan ◽  
Asif Sheikh ◽  
Saud Saleem ◽  
Hammad Afzal Kayani ◽  
...  

Background: Pakistan demographic and health survey (PDHS) estimated extensive ownership of cell phones in Pakistan with 94.7% in the urban population. Pakistan Advertiser Company reported 77 % of cell phone users aged between 21-30 years. Although, no research was conducted with university population for addiction and depression, so this study aims to find the link between Smartphone addiction and depression in SZABIST University students of Karachi, Pakistan.Methods: Cross-sectional study was conducted with self-assessment tools, comprised of three sections: socio-demographic information, smartphone addiction scale-short version (SAS-SV) and Beck’s depression inventory-II (BDI-II). Responses for SAS-SV were rated on a 6-point Likert scale and BDI-II was summated on range 0-60. Percentages mean score was commuted for SAS-SV; the mean score was computed and categorized for BDI-II. Descriptive statistics and regression analysis were used for data analysis. Statistical significance was set at p<0.01.Results: Total participants were N=225, of which 140 (62.2%) were males and 85 (35.8%) were females. The mean±SD of their ages were 20.9±2.9. Age was found insignificant with depression after applying multiple linear regressions. Mean score of SAS-SV was 54.8±17.2, and BDI-II was13.4±9.6, which showed a significant positive association (OR, 0.241; 95% CI, 0.2 to 0.3; p<0.001). Prior adjusting coefficient, males were speculated having a higher level of depression.Conclusions: A significant positive correlation was found between Smartphone addiction and depression, among University Students of SZABIST. Control smartphones usage is advised for undergraduate students as they are more prone to depression compared to postgraduate students.


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