scholarly journals Physical Activity as a Predictor of the Level of Stress and Quality of Sleep during COVID-19 Lockdown

2021 ◽  
Vol 18 (11) ◽  
pp. 5811
Author(s):  
Anna Lipert ◽  
Remigiusz Kozłowski ◽  
Dariusz Timler ◽  
Michał Marczak ◽  
Kamila Musiał ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Online Survey ◽  
Short Form ◽  
Well Being ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Low Level ◽  
The Government

Background: The coronavirus pandemic and the government restrictions significantly disturbed the daily functioning of people, thereby influencing healthy behaviors, such as physical activity—the core indicator of well-being. This study evaluates the associations between physical activity (PA), the level of stress and quality of sleep during the COVID-19 pandemic lockdown. Methods: An online survey was distributed during the governmental lockdown in April 2020 and included measures for assessing physical activity, stress and sleep. The surveyed participants included all adults aged 18 years and over. The final data were collected from the 1959 respondents using: International Physical Activity Questionnaire-Short Form (IPAQ-SF), Perceived Stress Scale (PSS) and Pittsburgh Sleep Quality Index (PSQI). Findings: Almost half of the respondents indicated a low level of PA, performing only 60 min of PA daily. Most of the participants reported a moderate or high level of stress (57% and 29%, respectively) and 64% of them reported poor quality of sleep. People with low levels of stress performed on average 85.1 min/day of walking (WPA), 40.9 min/day of moderate PA (MPA) or 52.6 min/day of vigorous PA (VPA). People with good quality of sleep performed 82.9 min/day of WPA, 43.6 min/day MPA and 40.5 min/day VPA. Interpretation: The results from the study indicate that the volume of daily PA may be a predictor of the level of stress and sleep quality in adults during the COVID-19 pandemic lockdown. To retain a low level of stress and good quality of sleep, a lifestyle that allows to achieve a moderate level of physical activity should be maintained. The optimal daily dose of PA is at least 70 min per day, involving different intensities.

scholarly journals Sleep quality among undergraduate students of a medical college in Nepal during COVID-19 pandemic: an online survey

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 505
Author(s):  
Dhan Shrestha ◽  
Suman Prasad Adhikari ◽  
Namrata Rawal ◽  
Pravash Budhathoki ◽  
Subashchandra Pokharel ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Online Survey ◽  
Well Being ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Diverse Range ◽  
Medical College

Background Good sleep quality is associated with a diverse range of positive outcomes such as better health, less daytime sleepiness, well-being, and proper psychological functioning. Sleep deprivation or poor sleep quality leads to many metabolic, endocrine, and immune changes. Many studies have shown changes in sleep schedule along with worsening of sleep quality during the COVID-19 pandemic. Methods This cross-sectional study was conducted among students of a medical college in Kathmandu, Nepal from January 13, 2021, to February 15, 2021. A stratified random sampling technique was used. Data were collected using the Pittsburgh Sleep Quality Index (PSQI). Questionnaires that were completely filled were included and analyzed using STATA vs. 15. Results 168 medical students filled out the questionnaires with a response rate of 88.42%. 30.36% (n=51) of respondents were having poor quality of sleep (PSQI total score of > 5) with an average PSQI score of 4.24±2.19. Unadjusted logistic regression analysis showed significantly higher odds of poor quality of sleep among females (OR, 2.25; CI, 1.14-4.43) comparing to male and the relation persists even adjusting with age and year in medical school (aOR, 2.81; CI, 1.35-5.86)  Adjusting with age and gender 4th-year MBBS students were 82% less likely to have a poor quality of sleep compared to 2nd-year MBBS students (aOR, 0.18; CI, 0.04-0.76). Poor quality of sleep is common among medical students. Conclusions More than a quarter of medical students have a poor quality of sleep as per our study. So, education and awareness should be aroused among medical students regarding the detrimental effects of poor quality sleep on daily activities, physical and mental well-being, and the overall quality of life.

scholarly journals Relations between Physical Activity and Quality of Sleep Among Students

2019 ◽  
Vol 1 (20) ◽  
Author(s):  
Indrė Petkutė ◽  
Vaida Borkertienė
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Poor Quality ◽  
Time Of Day ◽  
Study Data ◽  
Moderate Physical Activity ◽  
Quality Of Sleep ◽  
Falling Asleep ◽  
Intense Physical Activity

Relevance of the topic. Most authors agree that physical activity (PA) affects sleep (Kredlow et al., 2015), but it remains unclear how the quality of sleep varies with individual PA schedule and daily immobility. The goal was to identify the interfaces between physical activity and sleep quality for 18–25-year-old students. Research methods. The International Physical Activity Questionnaire, Pittsburgh Sleep Quality Index, smart watches Polar A300 were used. Results of the study. By analysing the obtained study data, 2 groups were formed according to physical activity: medium PA (56.1%) and high PA (43.9%). The quality of sleep among students was as follows: good (36.4%), bad (63.6%). Signifcant correlations were found between PA aspects and falling asleep time, PSQI. There were no signifcant interfaces between PA aspects and sleep duration. Conclusions. The majority of students were of moderate physical activity, less high physical activity and there were no students of low physical activity. Poor quality of sleep prevailed among students. Weak interfaces were identifed between continuous sitting and the time of useless sleep. Dependences were also found between sleep quality and the duration of intense physical activity as well as the level of physical activity. Signifcant dependencies were not established between the time of day of intense physical activity or the intense physical activity type and sleep quality itself, although the latter signifcantly affected the duration of sleep, the time of awakening and the length of useless sleep.Keywords: students, physical activity, sleep quality, long sitting.

scholarly journals Comparing the Trail Users with Trail Non-Users on Physical Activity, Sleep, Mood and Well-Being Index

2020 ◽  
Vol 17 (17) ◽  
pp. 6225
Author(s):  
Abbas Smiley ◽  
William Ramos ◽  
Layne Elliott ◽  
Stephen Wolter
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Associated Factors ◽  
Well Being ◽  
Health Index ◽  
Quality Of Sleep ◽  
Physically Active ◽  
Trail Use ◽  
Final Sample

Background: The current study sought to understand whether trail users reported better wellness and health status compared to the non-users, and to recognize the associated factors. Methods: Eight trails from different locations and settings within Indiana were selected to sample trail users for the study. Additionally, areas surrounding these eight trails were included in the study as sample locations for trail non-users. Trail users and non-users were intercepted and asked to participate in a survey including demographics, socioeconomic status, physical activity, mood, smoking, nutrition, and quality of sleep. Information was collected and compared between the trail users and the non-users. Association of self-rated health, age, sex, race, marital status, employment, income, education, smoking, nutrition, sleep, and mood with trail use was evaluated by multivariable linear regression model. Results: The final sample size included 1299 trail users and 228 non-users. Environmental factors (access to nature and scenery) were important incentives for 97% and 95% of trail users, respectively. Age, sex, mood, and sleep quality were significantly associated with using the trail. Mean (SD) self-rated wellness and health out of 10 was 7.6 (1.4) in trail users and 6.5 (1.9) in non-users (p < 0.0001). Importantly, trail users were significantly more physically active outside of the trail compared to the non-users (207 vs. 189 min/week respectively, p = 0.01) and had better sleep qualities and mood scores. Using the trails was significantly associated with higher self-rated wellness and health score. The longer the use of trails, the higher the self-rated wellness and health index (β = 0.016, p = 0.03). Conclusion: Compared to not using the trails, trail use was significantly associated with more physical activity, better sleep quality, and higher self-rated wellness and health.

scholarly journals Examining relationships between sleep posture, waking spinal symptoms and quality of sleep: A cross sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260582
Author(s):  
Doug Cary ◽  
Angela Jacques ◽  
Kathy Briffa
Keyword(s):  
Sleep Quality ◽  
Online Survey ◽  
General Information ◽  
Control Group ◽  
Quality Of Sleep ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Patient Reported ◽  
Sleep Posture

Introduction Research with a focus on sleep posture has been conducted in association with sleep pathologies such as insomnia and positional obstructive sleep apnoea. Research examining the potential role sleep posture may have on waking spinal symptoms and quality of sleep is however limited. The aims of this research were to compare sleep posture and sleep quality in participants with and without waking spinal symptoms. Methods Fifty-three participants (36 female) were, based on symptoms, allocated to one of three groups; Control (n = 20, 16 female), Cervical (n = 13, 10 female) and Lumbar (n = 20, 10 female). Participants completed an online survey to collect general information and patient reported outcomes and were videoed over two consecutive nights to determine sleep posture using a validated classification system including intermediate sleep postures. Results Participants in the symptomatic groups also reported a lower sleep quality than the Control group. Compared to Control group participants, those in the Cervical group had more frequent posture changes (mean (SD); 18.3(6.5) versus 23.6(6.6)), spent more time in undesirable/provocative sleep postures (median IQR; 83.8(16.4,105.2) versus 185.1(118.0,251.8)) minutes and had more long periods of immobility in a provocative posture, (median IQR: 0.5(0.0,1.5) versus 2.0 (1.5,4.0)). There were no significant differences between the Control and Lumbar groups in the number of posture changes (18.3(6.5) versus 22.9(9.1)) or the time spent in provocative sleep postures (0.5(0.0,1.5) versus 1.5(1.5,3.4)) minutes. Discussion This is the first study using a validated objective measure of sleep posture to compare symptomatic and Control group participants sleeping in their home environment. In general, participants with waking spinal symptoms spent more time in provocative sleep postures, and experienced poorer sleep quality.

scholarly journals Quality of Sleep and Quality of Life during Pregnancy

2020 ◽  
Vol 38 (3) ◽  
pp. 188-193
Author(s):  
Keun Tae Kim ◽  
Hyoeun Bae ◽  
Jin Gon Bae ◽  
Yong Won Cho
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Short Form ◽  
Life Quality ◽  
Control Group ◽  
Quality Of Sleep ◽  
Third Trimester ◽  
Cross Sectional ◽  
Sf 36

Background: The prevalence of sleep disorders increases as pregnancy progresses, which affects the health of pregnant women, fetal health, and the outcomes of pregnancy. The aim of this study is to evaluate the quality of sleep and life in pregnant women in Korea.Methods: This study is a prospective cross-sectional, case-control study of pregnant women and age-matched controls. From July to September 2019, all participants completed Korean-language versions of the sleep questionnaires including Pittsburgh sleep quality index (K-PSQI), Insomnia severity index, Epworth sleepiness scale, Back’s depression inventory-2(K-BDI), STOP (Snoring, Tiredness, Observed apneas, and high blood Pressure), and short-form 36 (K-SF-36).Results: A total of 422 participants consisted of 385 pregnant women and 137 controls. Second and third trimester were 200 and 185, respectively. K-PSQI scores were higher in pregnant women compared with the controls (7.87±3.49 and 8.50±3.55 vs. 5.79±2.76, <i>p</i><0.001). Total score of K-SF-36 was lowest in third trimester (62.07±17.72) and highest in the control group(79.41±13.36). There was no statistical difference between groups in K-BDI.Conclusions: This study demonstrated worsening of sleep quality as well as life quality during pregnancy. More attention to sleep of pregnant women is needed.

THE STUDY WAS CARRIED OUT TO ASSESS QUALITY OF SLEEP AND PERCEIVED SLEEP DISTRACTORS AMONG PATIENTS ADMITTED AT MMIMS&R HOSPITAL MULLANA AMBALA.

2021 ◽  
pp. 22-26
Author(s):  
Prakash Jha ◽  
Preeti Anand ◽  
Prashant Prashant ◽  
Priya Priya ◽  
Priyanka Roy ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sampling Technique ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Early Recovery ◽  
Quality Sleep ◽  
Duration Of Hospitalization ◽  
Education Status ◽  
Assess Quality

A good high-quality of sleep and it's have an effect on in daily existence of both the healthful and sick character turns into one of the most important cognizance of problem. Aims: The study aimed to assess the Quality of Sleep and Perceived Sleep Distractors among patients. Methods: Non-Experimental descriptive research design was conducted among 135 patients through convenient sampling technique. Modied Sleep quality Scale and Structured Perceived Sleep Distractors Perfoma was used. Results: Showed (27.4%) of the patients had poor quality of sleep, most of the patients (47.4%) were having fair quality of sleep. Most of the patients (52.6%) were having severe distractions while sleeping, less than half (44.4%) were having moderate level of distractions while sleeping only (3.0%) perceived very severe distraction during hospital stay. There was a moderate positive relationship between Quality of Sleep and Perceived Sleep Distractors NS Score(r=0.113, p=0.19 ). Further the results also indicated that quality of sleep is only associated with Patient admitted in 2 2 (department) (χ = 30.652, p=0.01) whereas perceived sleep distractors is associated with Education status (χ = 17.280, 2 2 p=0.02), Duration of Hospitalization (χ = 45.425, p=0.00), Patient admitted in (department) (χ = 28.066, p=0.03).Conclusion: The study concludes that there is a need to identify factors responsible that hinders good quality sleep among patients admitted in hospital as well as the sleep quality can be enhanced by decreasing the sleep distractors and thus it can be helpful in the early recovery of the patients

scholarly journals P.2.33 The association between pattern of shift work and sleep quality amongst nurses in university hospital in northeastern region of thailand

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A95.3-A96
Author(s):  
Kampanat Wangsan ◽  
Naesinee Chaiear ◽  
Kittisak Sawanyawisuth ◽  
Paanumas Krisorn
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Poor Quality ◽  
University Hospital ◽  
Quality Of Sleep ◽  
Screening Questionnaire ◽  
Northeastern Region ◽  
Obstructive Sleep ◽  
Shift Pattern

IntroductionShift work associated with many health problems, work performance and injury. Disturbance of sleep quality is the main mechanism of shift work effects. Nurses are at risk of many occupational hazards and also shift work. The information about shiftwork and the association of sleep quality amongst nurses of Thailand is still limit.ObjectiveTo study the association of shift work and quality of sleep and which pattern has highest risk of poor quality of sleep amongst nurses in university hospital in Northeastern region of Thailand.Material and methodOne thousand and one hundred nurses were met inclusion and exclusion criteria with 75.5%(n=831) participation rate. The data was collected via questionnaire including personal information, shift schedule, depression screening questionnaire, obstructive sleep apnea screening questionnaire and sleep quality questionnaire (PSQI). Cross-sectional analytical study was conducted.ResultAll patterns of shift work amongst sample were irregular shift work. There were statistically significant association between shift work and poor quality of sleep . Predominant backward shift pattern has higher association of poor quality of shiftwork than predominant forward shift pattern.ConclusionEven shift work associate with poor quality of sleep but good strategy of shift work scheduling help to decrease risk of poor quality of sleep.

Training zu Hause verbessert die Schlafqualität und die Tagesschläfrigkeit älterer Menschen

2019 ◽  
Vol 7 (6) ◽  
pp. 327-328
Author(s):  
Helmut Frohnhofen
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Cognitive Decline ◽  
Daytime Sleepiness ◽  
Exercise Program ◽  
Sleep Hygiene ◽  
Northeastern Brazil ◽  
Home Exercise ◽  
Quality Of Sleep

Background: Aging causes physiological changes which affect the quality of sleep. Supervised physical exercise is an important therapeutic resource to improve the sleep of the elderlies, however there is a low adherence to those type of programs, so it is necessary to implement an exercise program which is feasible and effective. The study aimed to test the hypothesis that a semi-supervised home exercise program, improves sleep quality and daytime sleepiness of elderlies of the community who present poor sleep quality. Methods: This was a randomized controlled trial study, conducted from May to September 2017, in Northeastern Brazil, with elderlies of the community aging 60 years old or older, sedentary, with lower scores or equal to 5 at the Pittsburgh Sleep Quality Index (PSQI) and without cognitive decline. From one hundred ninety-one potential participants twenty-eight refused to participate, therefore, one hundred thirty-one (mean age 68 ± 7 years), and 88% female, were randomly assigned to an intervention group - IG (home exercise and sleep hygiene, n = 65) and a control group - CG (sleep hygiene only, n = 66). Sleep assessment tools were used: PSQI, Epworth sleepiness scale (ESS) and clinical questionnaire of Berlin. The level of physical activity has been assessed by means of International Physical Activity Questionnaire adapted for the elderly (IPAQ) and Mini-Mental State Examination for cognitive decline. All participants were assessed before and after the 12-week intervention period and, also, the assessors were blind. Results: The IG showed significant improvement in quality of sleep with a mean reduction of 4.9 ± 2.7 points in the overall PSQI (p < 0.01) and in all its 7 components of evaluation (p < 0.05), and improvement of secondary endpoint, daytime sleepiness, a decline of 2.8 ± 2.2 points in the ESS (p < 0.01). Conclusion: Our results suggest that semi-supervised home exercise is effective in improving the quality of sleep and self-referred daytime sleepiness of sedentary elderlies of the community who presented sleep disorders. Trial registration: Ensaiosclinicos.gov.br process number: RBR-3cqzfy.

scholarly journals Physical Activity and Quality of Sleep in Patients with End-Stage Renal Disease on Hemodialysis: A Preliminary Report

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Vasiliki Theodorou ◽  
Eleni Karetsi ◽  
Zoe Daniil ◽  
Konstantinos I. Gourgoulianis ◽  
Vasileios T. Stavrou
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Social Activity ◽  
Hemodialysis Patients ◽  
Quality Of Sleep ◽  
Daily Lives ◽  
Stage Renal Disease ◽  
End Stage

Chronic kidney disease significantly impairs patients’ daily lives and worsens their quality of life. The aim of this study was to investigate the physical activity and quality of sleep, during three days (previous day of dialysis, on the day of dialysis and after day of dialysis), in patients with end-stage renal on hemodialysis. 12 hemodialysis patients were included in our study, answered the Pittsburgh Sleep Quality Index (PSQI) questionnaire, and for each patient were used a smart bracelet for three days (day-pre- and posthemodialysis and day at hemodialysis) to record daily physical activity (steps, distance) and estimate the quality of sleep. Results showed differences between three days average of steps and distance and PSQI parameters “…engaging in social activity?” (steps, p=0.006, distance, p=0.006) and “…enthusiasm to get things done?” (steps, p=0.029, distance, p=0.030). Our study suggests interrelationship between sleep quality and physical activity.

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India

2019 ◽  
Vol 65 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Sneha B Vadher ◽  
Bharat N Panchal ◽  
Ashok U Vala ◽  
Imran J Ratnani ◽  
Kinjal J Vasava ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Quality Of Sleep

Background: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. Aim/Objective: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. Methods: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student’s t test and Pearson’s correlation. Multiple linear regression analysis was applied to find the predictors of PIU. Results: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. Conclusion: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

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