scholarly journals CORRELATION OF GADGETS ADDICTION WITH SLEEP QUALITY IN 4th – 6th GRADE STUDENTS AT SDN 01 SRIGADING LAWANG IN 2019

2020 ◽  
Vol 1 (2) ◽  
pp. 80
Author(s):  
Agustin J Nanda De Niro ◽  
Annisa Pawitra ◽  
Novia Nurul Faizah ◽  
Rendra Dwi Putra ◽  
Veikha Fakhriya Arfiputri ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Weak Correlation ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
6Th Graders ◽  
Very High ◽  
Good Sleep

The use of digital technology has increased rapidly. In Indonesia, gadget use by children has become very high and requires special attention. Many effects may occur due to gadget use, one of which is sleep quality disturbance. This study aims to analyze the correlation between gadget addiction and sleep quality in children grades 4-6 SDN 01 Srigading Lawang. This research is an analytic observational study with a cross-sectional design in a population of 4-6th graders of SDN 01 Srigading Lawang. A total of 126 students over 130 students were included. Data were collected using two questionnaires, which are Smartphone Addiction Scale and The Pittsburgh Sleep Quality Index, and tested using RxC Contingency. Gadget addiction has a significant correlation with sleep quality with a weak correlation. Children with mild levels of addiction to gadgets had a potential of 2,013 times to have good sleep quality, compared to children with moderate levels of addiction. In contrast, children with severe levels of addiction to gadgets were at risk 12.04-fold to have poor sleep quality compared to the mild level of addiction. There is a significant correlation with a weak correlation between gadget addiction and sleep quality in children grades 4-6 SDN 01 Srigading Lawang.

scholarly journals Hubungan Kualitas Tidur dengan Atensi pada Mahasiswa/ i Fakultas Kedokteran Universitas HKBP Nommensen Medan

2020 ◽  
Vol 6 (1) ◽  
pp. 26-31
Author(s):  
Jenny Novina Sitepu
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Executive Attention ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Attention Failure ◽  
Spearman Test ◽  
The Relationship ◽  
Good Sleep

Background: Attention is one component of cognitive function that consists of three aspects, such as alerting, orienting and executive attention. Attention failure is thought to be a major cause of cognitive decline in sleep deprivation Objective: To determine the relationship between sleep quality and attention on students of the Faculty of Medicine, Universitas HKBP Nommensen Method: This study was an observational analytic study using a cross-sectional design. Study population was active students of the Faculty of Medicine, Universitas HKBP Nommensen. The sample was 62 respondents who met the inclusion and exclusion criteria. Data was collected by giving and filling out the Pittsburgh Sleep Quality Index (PSQI) questionnaire to assess sleep quality. Then proceed with attention checks using Attention Network Test (ANT). The relationship between sleep quality and attention was analyzed using Spearman test. Results: Respondents who have good sleep quality was 34 respondents (54.8%), moderate sleep quality was 24 respondents (38.6%, and poor sleep quality was 4 respondents (6.4%). Median epiction of orienting based on good sleep quality was 28.00 ms and poor sleep quality was 32.00 ms. Median depiction of executive attention based on good sleep quality was 142.29 ms and poor sleep quality was 170.00 ms. There was no correlation between sleep quality with alerting (p = 0.631 and r = 0.062), orienting (p = 0.892 and r = 0.018) and executive attention (p = 0.085 and r = 0.221) Conclusion: There is no relationship between sleep quality and attention (alerting, orienting and executive attention).

scholarly journals The relationship between sleep hygiene and sleep quality among residents of an elderly care institution in DKI Jakarta

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Mutia Annisa ◽  
Dwi Nurviyandari Kusuma Wati
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Elderly Care ◽  
Sleep Hygiene ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
The Relationship ◽  
Purposive Sample

<p class="AbstractContent"><strong>Objective:</strong> Elderly are at risk of poor slepp quality and other health problems due to reduced sleep satisfaction. The objective of this study was to explore the association between sleep hygiene and sleep quality in elderly.</p><p class="AbstractContent"><strong>Methods: </strong>This was a descriptive study with cross sectional design. The study was conducted in four elderly care institutions in Jakarta, Indonesia, involving a purposive sample of 103 elderly aged 60 to 111 years old. Data were collected using Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).</p><p class="AbstractContent"><strong>Results:</strong> Over half of the residents had poor sleep hygiene (51.5%) and more than three quarter (81.6%) had poor sleep quality. The study revealed that there was a highly significant relationship between sleep hygiene and sleep quality (p = 0.001). The study also showed that those with poor sleep hygiene were 7.834 times more likely to have poor sleep quality.<strong></strong></p><p class="AbstractContent"><strong>Conclusion: </strong>Nurses need to include interventions that may address residents’ sleep problems. They also need to promote sleep hygiene and improve residents’ sleep quality.<strong></strong></p><strong>Keywords: </strong>elderly, institution, sleep hygiene, sleep quality

scholarly journals Quality of sleep and use of computers and cell-phones among university students

2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Computer Use ◽  
Cell Phones ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Good Sleep

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.

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.

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.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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