scholarly journals Characteristics of Sleep Quality of Nursing Students in Bali During Pandemic Covid-19

2021 ◽  
Vol 2 (2) ◽  
pp. 77-82
Author(s):  
Putu Intan Daryaswanti ◽  
Ni Made Diah Pusparini Pendet ◽  
Ni Putu Eka Febianingsih
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Human Behavior ◽  
Virus Disease ◽  
Univariate Analysis ◽  
Poor Sleep ◽  
Distance Teaching ◽  
Poor Sleep Quality ◽  
Quality Of Nursing

Introduction: Corona Virus Disease-19 (COVID-19) has spread to 34 provinces in Indonesia. Indonesia first confirmed the case of COVID-19 in March 2020. The outbreak of the COVID-19 pandemic has made the teaching and learning process shifted to distance teaching. This activity-limiting measure in response to curbing the spread of COVID-19 has caused an unprecedented change in human behavior around the world. One of the changes in human behavior is sleep. Sleep is a physiological process that is highly dependent on the environment and social and varies greatly with stress levels. This study aimed to know the characteristics of sleep quality of nursing students during pandemic Covid-19 in Bali. Methods: This study is a descriptive study using univariate analysis. The population in this study is approximately 1,500 nursing students. Sampling technique used in this research is purposive sampling with 422 sample. Data collection tools in the form of questionnaires that are used is a sleep quality questionnaire from the Pittsburg Sleep Quality Index (PSQI). Results: The results show that most of the nursing students’ age ranged from 15-25 (94.1%), female (79.1%) and currently undergoing Bachelor of Nursing education (68%) and students of Nursing in Bali mostly have poor sleep quality (97.4%). Conclusion: Students of Nursing reported to have poor sleep quality over the last month.

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 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 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.

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.

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.

Sleep disorder in nursing graduates

2011 ◽  
Vol 5 (4) ◽  
pp. 871 ◽  
Author(s):  
Marcelo dos Santos Feitosa ◽  
Natália Abou Hala Nunes ◽  
Teresa Celia de Mattos Moraes dos Santos ◽  
Ana Lucia De Faria ◽  
Eliana Fátima de Almeida Nascimento
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Quantitative Research ◽  
Poor Sleep ◽  
Nursing Graduates ◽  
Poor Sleep Quality ◽  
Undergraduate Nursing Students ◽  
Undergraduate Nursing ◽  
The University

ABSTRACTObjective: to determine the sleep quality of undergraduate nursing students from a University of Vale do Paraíba. Method: this is a descriptive and quantitative research, approved by the Ethics Committee in Research of the University of Taubaté, protocolo-452/2009. It is the accessibility sampling, conducted with 58 students from the third series of the degree course in nursing, all participants signed the consent form. Data were collected from November to December 2009, through the application of a questionnaire consisting of open, closed, and mixed questions. The questionnaire was composed by two parts: Part A - Identification, and Part B - Questionnaire Sleep Quality Index in Pittsburgh (PSQI). Data were tabulated and submitted to descriptive statistics. Results: the level of sleep quality obtained scores higher than five in 39 (67.24%) of nursing students, indicating poor sleep quality. Conclusion: the sleep quality is really bad. Many students, due to their irregular hours of sleep, have their sleep affected in a negative manner, failing to restore itself to the following day, which impairs performance in college and at work. Descriptors: sleep deprivation; sleep disorders classification; complications; nursing.RESUMOObjetivo: verificar a qualidade do sono dos graduandos em Enfermagem de uma universidade do Vale do Paraíba paulista. Método: trata-se de uma pesquisa descritiva e quantitativa, aprovada pelo Comitê de Ética em Pesquisa da Universidade de Taubaté, protocolo-452/2009. É uma amostragem por acessibilidade com 58 graduandos da terceira série do Curso de Graduação em Enfermagem, os quais assinaram o termo de consentimento livre e esclarecido. Os dados foram coletados de novembro a dezembro de 2009, por meio da aplicação de um questionário constituído de questões abertas, fechadas e mistas. O questionário utilizado foi composto por duas partes: Parte A − Identificação e Parte B − questionário do Índice de Qualidade do Sono de Pittsburgh (IQSP). Os dados foram tabulados e submetidos à estatística descritiva. Resultados: o nível da qualidade do sono obteve escores maiores que cinco em 39 (67,24%) dos graduandos de Enfermagem, indicando qualidade de sono ruim. Conclusão: a qualidade do sono é de fato ruim. Muitos estudantes, por terem horas irregulares de sono, têm seu sono afetado de maneira negativa, não conseguindo se recuperar para o dia seguinte, o que compromete o desempenho na faculdade e no trabalho.  Descritores: privação do sono; transtornos do sono; classificação; complicações; enfermagem.RESUMENObjetivo: verificar la calidad del sueño de los graduandos en enfermería de una universidad del Vale del Paraíba paulista. Método: se trata de una investigación descriptiva y cuantitativa, aprobada por el Comité de Ética en Investigación de la Universidad de Taubaté, protocolo-452/2009. El muestreo por accesibilidad fue realizado con 58 graduandos del tercer curso de la carrera de graduación en enfermería, los cuales firmaron el término de consentimiento libre y esclarecido. Los datos fueron recogidos en los meses de noviembre y diciembre de 2009, por medio de la aplicación de un cuestionario constituido de cuestiones abiertas, cerradas y mistas. El cuestionario utilizado fue compuesto por dos partes: Parte A − Identificación y Parte B − cuestionario del Índice de Calidad del Sueño de Pittsburgh (IQSP). Los datos fueron tabulados y sometidos a estadística descriptiva. Resultados: el nivel de la calidad del sueño obtuvo escores mayores que cinco en 39 (67,24%) de los graduandos de enfermería, indicando calidad de sueño malo. Conclusión: la calidad del sueño es de fato mala. Muchos estudiantes, por tener horas irregulares de sueño, tienen su sueño afectado de manera negativa, no consiguiendo restaurarse para el día siguiente, lo que compromete el desempeño en la facultad y en el trabajo. Descriptores: privación del sueño; trastornos del sueño; clasificación; complicaciones; enfermería.

scholarly journals Profile of nursing students: quality of life, sleep and eating habits

2020 ◽  
Vol 73 (suppl 1) ◽  
Author(s):  
Carolina Pasquini Praxedes Salvi ◽  
Sandra Soares Mendes ◽  
Milva Maria Figueiredo De Martino
Keyword(s):  
Quality Of Life ◽  
Nursing Students ◽  
Sleep Quality ◽  
Eating Habits ◽  
Poor Sleep ◽  
Self Perception ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Study Results

ABSTRACT Objective: to profile and analyze sleep quality, quality of life and eating habits of nursing students. Methods: a cross-sectional, comparative and correlational study with the following variables: sociodemographic characteristics, Pittsburgh sleep quality index, quality of life and eating habits. One hundred ninety-five students participated in the study. Results: participants were on average 24 years old. Results showed that females were prevalent (87.1%); 71.0% of the students had poor sleep quality; 98.9% used electronic devices before bedtime. Self-perception of quality of life was indifferent (38.3%), and self-perception of general health, 36.9% expressed satisfaction. Among the participants, 45.13% consumed one portion of fruit and 40.66% two to three portions of vegetables daily. Conclusion: the study allowed the profile of these students, sedentary, overweight and poor sleep quality young students who studied and worked.

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

Restless leg syndrome in adult patients with β-thalassemia major

2021 ◽  
Vol 74 (7-8) ◽  
pp. 266-272
Author(s):  
Ramazan Erdem ◽  
Nazan Şimşek Erdem ◽  
Erdal Kurtoğlu
Keyword(s):  
Sleep Quality ◽  
Restless Legs Syndrome ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Thalassemia Major ◽  
Adult Patients ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Restless Legs

To investigate the quality of sleep and the presence of Restless Legs Syndrome (RLS) in the Turkish population with β-thalassemia major (TM). The second aim was to assess the risk factors of RLS in TM adults. The study sample comprised of 121 patients at least 18 years old with TM. The patients’ socio-demographic information, body mass indexes (BMI), current medications, laboratory data were recorded. The patients were asked if they had a history of chronic kidney disease, diabetes mellitus (DM), and polyneuropathy. Restless legs syndrome was diagnosed according to the International Restless Legs Syndrome Study Group criteria. The sleep quality of the patients was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. The Epworth Sleepiness Scale (ESS) was used to assess excessive daytime sleepiness in the patients. The median age of the patients was 25 years (range 18-52). The mean BMI was 21.49±2.5 (R 14-26.5) for all patients. The prevalence of RLS was 5% in TM adult patients. The TM patients with RLS had no major complications of TM. The median PSQI global score of all patients was 3. Twenty-two (18.1%) patients had poor sleep quality. The reason for poor sleep quality was RLS symptoms in four patients (18%). There was no significant association between PSQI total score and blood parameters of the patients. Twelve (9.9%) patients had ESS scores greater than 10, which indicates excessive daytime sleepiness. The prevalence of RLS in TM patients was similar to that of the general Turkish adult population. These results indicate that RLS may occur in patients with TM, although they had a high level of serum ferritin.

scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

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