scholarly journals Hubungan Stres Akademik dengan Kualitas Tidur Mahasiswa Keperawatan Tingkat Akhir Program Alih Jenjang

2021 ◽  
Vol 21 (1) ◽  
pp. 438
Author(s):  
Esthika Ariany Maisa ◽  
Andrial Andrial ◽  
Dewi Murni ◽  
Sidaria Sidaria
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Sampling Technique ◽  
Academic Stress ◽  
Poor Sleep ◽  
Transfer Program ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional

Sleep is a basic human need. Poor sleep quality can have an impact on students' health and academic performance. Nursing students at the end of the level transfer program have the risk of poor sleep quality due to the high academic task load coupled with other assignments besides lectures that can take up student break time. One of the factors that affect the quality of sleep is stress, and among students it is called academic stress. The purpose of this study was to determine the relationship between academic stress and sleep quality in the final year students of a level transfer program. The study was conducted at one of the campuses in the city of Padang using a correlation analytic research design with a cross sectional approach. The sample in this study amounted to 64 students at the end of the level transfer program with the total sampling technique. This research was conducted from October to November 2019. Data was collected using the Pittsburh Sleep Quality Index and Student Academic Stress Scale research instruments. The results of this study indicate that nursing students at the end of the level transfer program experience poor sleep quality with high academic stress. Correlation analysis provides a linear and positive pattern of relationship between academic stress and sleep quality of nursing students at the end of a level tansfer program, with a very strong correlation strength level, which means that the higher the student's academic stress, the worse the quality of sleep.. It is expected that students can manage academic stress with stress management and time management, so as not to have an impact on the quality of student sleep.

The use of gadgets and their relationship to poor sleep quality and social interaction on mid-adolescents: a cross-sectional study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief
Keyword(s):  
Social Interaction ◽  
Sleep Quality ◽  
Rank Correlation ◽  
Simple Random Sampling ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Social

AbstractBackgroundMid-adolescents dominate the number of gadget users in Indonesia. The use of gadgets to a high intensity can cause various problems such as poor sleep quality and decreased social interaction. The purpose of this study was to analyze the relationship between the intensity of the use of gadgets and the quality of sleep and social interaction in adolescents.MethodThe research design used was a correlational research study with a cross-sectional approach. Through the calculation of the sample, the respondents were 250 adolescents who met the inclusion criteria, namely (1) adolescents aged 15–18 years and (2) teens who owned and used gadgets. The sampling method used simple random sampling by conducting a lottery system in each class. The independent variable was the intensity of using the gadget, while the dependent variable was the quality of sleep and social interaction. Data collection focused on the intensity of gadget use using questionnaires and it was analyzed using the Pittsburgh Sleep Quality Index (PSQI) and the Social Interaction Anxiety Scale (SIAS). The data was analyzed using Spearman’s rank correlation with α = 0.05.ResultsThe results showed that the intensity of gadget use was positively related to poor sleep quality in adolescents (p = <0.001; r = 0.555). The intensity of the use of gadgets was also related to social interaction with a negative direction. The higher the intensity of the use of gadgets, the lower the social interaction in adolescents (p = 0.001; r = –293).ConclusionThe use of gadgets in the mid-adolescent years is related to sleep disorders as regards the latency and duration of sleep. Adolescents are more likely to engage in social interaction and communication through gadgets than face to face.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with 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 of Brazilian nursing students: A cross-sectional study

2019 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Andréia Ferreira dos Santos ◽  
Fernanda Carneiro Mussi ◽  
Cláudia Geovana da Silva Pires ◽  
Melissa Almeida Santos Paim ◽  
Fernanda Michelle Santos e Silva ◽  
...  
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Family Income ◽  
Cross Sectional Study ◽  
Public Institution ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional

Objective: To describe the sleep quality of nursing students according to the Pittsburgh Sleep Quality Index.Methods: This is a cross-sectional study conducted with 286 nursing students from a public institution in Salvador, Bahia. Data gathering instruments were applied in classrooms and data were assessed in absolute and relative frequencies, means and standard deviation.Results: The mean age of participants was 23.48 years (SD = 4.421). Most of students were female (90.2%), single with partner (90.9%), afro descendent (87.8%), unemployed (81.5%), total Family income below than four minimum wages (47.2%), enrolled between 6th and 10th  semester (54.5%), attending academic activities in two or three shifts (80.8%). Sample showed poor sleep quality (86.4%), especially due to the sleep duration, sleep disturbances and daytime disfunction.Conclusions: Poor sleep quality was prevalent in the sample, what rises the need of further analysis of the associated factors and interventions to change this reality.

scholarly journals Pattern of WhatsApp and Facebook usage and its impact on sleep quality among nursing students in Pondicherry

2021 ◽  
Author(s):  
Karthikraja Chandramoorthy ◽  
Prahankumar Rajendran ◽  
Ariarathinam Newtonraj ◽  
Rajalakshmi Rajamanickam ◽  
Anil J. Purty
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Mobile Phone ◽  
Statistical Significance ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Facebook Usage

Background: Usage of social networking sites like WhatsApp and Facebook in smartphones has become a basic necessity in today’s life, especially among college students. However, the excess usage of mobile phone affects sleep quality and attention span. Nursing students are prone to sleep disturbance due to their academics and work pattern. The aim of the study was to assess the pattern of WhatsApp and Facebook usage among nursing students and its impact on their sleep quality.Methods: A cross-sectional study was conducted among 168 nursing students of a nursing college in Puducherry. Participants were explained about the purpose of study and written informed consent was obtained. Data was collected using a self-administered questionnaire. Sleep quality was assessed using PSQI scale. Institutional ethics committee approval was obtained for the study. The data was entered in Microsoft Excel and analyzed using STATA 14.Results: Among the study participants, most of them prefer WhatsApp over Facebook. Almost 40% of the students had poor quality of sleep. There was statistically significant association between usage of WhatsApp while feeling sleepy, while having food and poor quality of sleep. However, the adjusted prevalence ratio of poor sleep quality did not show statistical significance.  Conclusions: The current study showed statistical significance between certain pattern of WhatsApp usage leading to poor sleep quality among nursing students. Thus, corrective measures have to be implemented to moderate the mobile phone usage and improve the sleep quality of nursing students.

scholarly journals Sleep quality of offshore wind farm workers in the German exclusive economic zone: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e024006 ◽  
Author(s):  
Marcial Velasco Garrido ◽  
Janika Mette ◽  
Stefanie Mache ◽  
Volker Harth ◽  
Alexandra Marita Preisser
Keyword(s):  
Sleep Quality ◽  
Exclusive Economic Zone ◽  
Offshore Wind ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Past ◽  
Economic Zone

ObjectivesTo assess the quality of sleep of employees in the German offshore wind industry and to explore factors associated with poor sleep quality.DesignWeb-based cross-sectional survey.SettingOffshore companies operating in wind farms within the German exclusive economic zone.ParticipantsWorkers with regular offshore commitments and at least 28 days spent offshore in the past year (n=268).Outcome measuresSleep quality in the past 4 weeks, troubles falling asleep or sleeping through in the past 4 weeks, differences in sleep quality between offshore deployments and onshore leaves.ResultsHaving problems with sleep onset was reported by 9.5% of the respondents. 16.5% reported troubles with maintaining sleep three or more times per week. The overall quality of sleep was rated as very bad by only 1.7% of the participants. 47.9% of the workers reported their quality of sleep to be worse during offshore commitments than when being onshore. Higher levels of exposition to noise, vibrations and poor air quality were associated with sleeping troubles and poorer sleep quality. Sharing the sleep cabin with colleagues was associated with troubles sleeping through. No association was found for working in rotating shifts and for regularity of the offshore commitments.ConclusionsWorkers in our study showed frequent sleep problems and poorer sleep quality offshore than onshore. Our results indicate that higher degrees of exposure to noise, vibrations and artificial ventilation are associated with poor sleep quality rather than organisational factors such as shift-work and type of working schedule. In view of the high demands of the offshore workplace and the workers’ particular recovery needs, addressing sleep disorders should be part of any health and safety management strategy for this workplace.

scholarly journals Quality of sleep and hypertension in adolescents

2017 ◽  
Vol 56 (5) ◽  
pp. 272 ◽  
Author(s):  
Arie Taufansyah P. Nasution ◽  
Rafita Ramayati ◽  
Sri Sofyani ◽  
Oke RRna Ramayani ◽  
Rosmayanti Siregar
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Later Life ◽  
Cross Sectional Study ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional

Background Adolescents with hypertension are at risk of morbidity and mortality due to cardiovascular problems in later life. Hypertension may be influenced by poor quality of sleep, so early detection of hypertension and ensuring good quality of sleep in adolescence is needed.Objective To assess for a possible association between poor sleep quality and hypertension in adolescents.Methods We conducted a cross-sectional study from January to March 2013 in Mustafawiyah Boarding School, Mandailing Natal, North Sumatera. Subjects’ quality of sleep was assessed by the Pittsburgh Sleep Quality Index (PSQI) questionnaire and their systolic and diastolic blood pressures were measured. Quality of sleep was categorized as either good or poor. Blood pressure was categorized as either normotensive or hypertensive. An association between poor sleep quality and hypertension was analyzed by Chi-square test.Results Two hundred forty adolescents participated in this study, of whom 210 (87.5%) subjects were normotensive and 30 (12.5%) subjects were hypertensive. We found higher systolic blood pressure [114.9 (SD 11.7) vs. 109.5 (SD 10.5) mmHg as well as diastolic blood pressure [74 (SD 9.1) vs. 69.9 (SD 7.5) mmHg in adolescents with poor sleep quality compared to  those with good sleep quality (P=0.001).Conclusion Poor sleep quality is associated with hypertension in adolescents.

scholarly journals Quality of Sleep and Its Correlates among Yemeni Medical Students: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bothaina Ahmed Attal ◽  
Mohammed Bezdan ◽  
Abdulwahab Abdulqader
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Mean

Background. Sleep disturbance is particularly common among medical students worldwide and affects their wellbeing and academic performance. However, little is known about this issue in Yemen. This study looks at sleep quality and its association with personal and life-style factors and self-reported academic performance among medical students at the largest Yemeni university. Methods. A cross-sectional survey was conducted at Sana’a University, Yemen, in 2017. The Pittsburgh Sleep Quality Index (PSQI), consisting of 19 items and 7 components ( score   range = 0 ‐ 3 ), was used to assess sleep quality. The summation of the components’ scores yields the global PSQI score ( range = 0 ‐ 21 ). A global PSQI value higher than 5 indicates poor quality of sleep. Logistic regression was applied to look at relationships. Results. 240 male (41%) and female (59%) medical students took part in the study with 54% being preclinical and 46% clinical with an average age of 23.3 years ( SD = 1.7 ). The mean global score (SD) was 6.85 (2.8), and 68% of the students ( N = 163 ) were identified as poor sleepers. The mean global PSQI score (SD) and proportion of poor sleepers were higher among males (7.7 (2.8) and 81%, respectively) than females (6.27 (2.42) and 59.2%, respectively), p ≤ 0.001 . Good sleep quality was more likely (OR (95% CI)) among females (3.4 (1.3-8.8)), the unmarried (2.8 (1-7.8)), those in good health (2.3 (1.1-4.5)), and nonkhat chewers (4.9 (1.4-17.1)). Nonsmokers were less likely to have good quality sleep compared to occasional smokers (0.185 (0.071-.485)). Stress (30%) and academic workload (21%) were the most commonly reported causes of poor sleep quality. Almost two-thirds of the students (65%) mentioned that disturbed sleep undermined their academic performance. Conclusions. Poor sleep quality is common among Sana’a medical students and impacts their academic performance. Specific stress management and sleep hygiene promoting programs should be incorporated early on in medical education.

scholarly journals Magnitude and correlates of sleep quality among undergraduate medical students in Ethiopia: cross –sectional study

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Tirusew Wondie ◽  
Alemayehu Molla ◽  
Haregewoin Mulat ◽  
Woynabeba Damene ◽  
Mengistu Bekele ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Undergraduate Medical Students ◽  
Poor Sleep Quality ◽  
Cross Sectional

Abstract Purpose Poor quality of sleep has a negative effect on academic performance of medical students. Quantity and quality of sleep in addition to average sleep time are strongly linked with students’ learning abilities, poor academic performance and poor interpersonal relationship which predispose them to mental illnesses. This study is aimed to assess magnitude and correlates of sleep quality among medical students in Ethiopia. Method An institutional based cross-sectional study was conducted among 576 undergraduate medical students. Data was collected by using interviewer administered structured questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. The collected data were entered in to Epi-data version 3.1and analyzed using SPSS version 20. Logistic regression was used to identify the potential determinants of quality of sleep among undergraduate medical students. P-values less than 0.05 were considered statistically significant and strength of the association was presented by adjusted odds ratio with 95% C.I. Result The prevalence of poor sleep quality among undergraduate medical students was 62% (95%CI, 57.9, 65.3). The mean age (±SD) of the respondents was 21.5(±2.4), with age ranging from 18 to 28 and about 310 (53.8%) were males. Factors like, being depressed (AOR = 1.92,95%CI 1.16,3.19), poor social support (AOR = 5.39,95%CI 2.33,2.49), being stressed (AOR = 2.04,95%CI 1.26,3.31), and poor sleep hygiene (AOR = 3.01,95%CI 1.75,5.18) were associated with poor sleep quality at p-value < 0.05. Findings also showed that, one unit increase in grade point average was associated with 81.5% decrease (AOR = 0.185, 95%CI 0.13, 0.28) in poor sleep quality. Conclusion A substantial proportion of medical students are affected by poor sleep quality. Routine screening of sleep quality, sleep hygiene, depression and stress is warranted. Moreover, it is better to educating medical students about proper sleep hygiene and the consequences of poor sleep.

Impression of Twitter and Whatsapp on Sleep Quality Among Nursing Students In Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 125
Author(s):  
Yosi Maria Wijaya ◽  
Fransiskus Xaverius Widiantoro
Keyword(s):  
Social Media ◽  
Nursing Students ◽  
Sleep Quality ◽  
Survey Design ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Impact

Introduction: The widely used social media by mobile-platform, which makes communication easier, faster, enhance effective flow of information. However, it may have the potential negative effect in quality of sleep in nursing students. The purpose of this study was to examined the impact of using social media and identified predictors of poor sleep quality among nursing students. Methods: A school-based survey design was conducted. Totally, 264 students at school of health sciences in West Java with usage social media platform were participated in this study. The extensive self-administered questionnaires were used to assess extent of using social media and the Pittsburgh Sleep Quality Index. Logistic regression analysis by a backward-stepwise technique was used to determine predictors of poor sleep quality. Results: One out of two nursing students (59.5 %) used both Instagram and WhatsApp, mostly at nights (59.8%), and more than 4-hour daily (19.3%). Majority nursing students (94.3%) have poor quality of sleep. Quality of sleep was differed significantly in bachelor students (p=0.03) in 8th semester (p = 0.006). Younger nursing students (β = 0.025, p = 0.021, 95% CI 0.001-0.566) who use social media less than 3-month (β = .019, p = 0.001, 95% CI 0.002-0.212), mostly during weekends and in 8th semester (β = 41.32, p = 0.018, 95% CI 1.902-897.73) were predictor of poorer sleep quality. Conclusion: Findings indicated a strong need for integrating sleep quality education and provide health-education to promote correct and effective use of social networks to minimize possible side effects in nursing students.

Sign in / Sign up

Export Citation Format

Share Document