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

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.

Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief

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.


2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon

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.


2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski

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.


2021 ◽  
Vol 21 (1) ◽  
pp. 438
Author(s):  
Esthika Ariany Maisa ◽  
Andrial Andrial ◽  
Dewi Murni ◽  
Sidaria Sidaria

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.


2017 ◽  
Vol 56 (5) ◽  
pp. 272 ◽  
Author(s):  
Arie Taufansyah P. Nasution ◽  
Rafita Ramayati ◽  
Sri Sofyani ◽  
Oke RRna Ramayani ◽  
Rosmayanti Siregar

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bothaina Ahmed Attal ◽  
Mohammed Bezdan ◽  
Abdulwahab Abdulqader

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.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Tirusew Wondie ◽  
Alemayehu Molla ◽  
Haregewoin Mulat ◽  
Woynabeba Damene ◽  
Mengistu Bekele ◽  
...  

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.


Author(s):  
María Teresa Rodríguez-González-Moro ◽  
José Miguel Rodríguez-González-Moro ◽  
José Miguel Rivera-Caravaca ◽  
Tomás Vera-Catalán ◽  
Agustín Javier Simonelli-Muñoz ◽  
...  

The purpose of this study was to determine the prevalence of sleep quality and to investigate variables predicting the risk of poor sleep quality in public workers from Murcia (Spain). A cross-sectional and prospective study was conducted from October 2013 to February 2016 in 476 public workers. The Pittsburgh Sleep Quality Index was used to measure the quality of sleep, and the reduced scale of the Horne and Österberg Morningness–Eveningness Questionnaire was applied to analyze the circadian typology. The predictive variables of self-reported poor sleep quality were identified by multivariate logistic regression. No significant differences were found according to sex in the overall sleep quality scores (5 ± 2.9 versus 5.1 ± 3, p = 0.650), but there were in the duration of sleep. Three percent of females slept <5 hours compared to 2% of men (p = 0.034). Fixed morning shifts (OR = 1.9, 95% CI 1.3–3.1; p = 0.007) and evening chronotypes (OR = 1.6, 95% CI 1.0–2.3; p = 0.017) were independent predictors of suffering from poor sleep quality. In conclusion, the frequency of self-reported poor sleep quality among public workers from Murcia was 37.4%. Being a public worker with a fixed morning shift and having an evening chronotype demonstrated to be associated with the quality of sleep.


2021 ◽  
Vol 5 (7) ◽  
pp. OR1-OR4
Author(s):  
Yashika Kaushal ◽  
Ratibha Kausal ◽  
Isha Sharma ◽  
Sheenab Mittal

INTRODUCTION: Among the elderly, sleep problems are quite prevalent and can lead to many adverse health consequences. AIM: To assess the quality of sleep among the elderly residing in rural population and factors related to it, and provide necessary recommendations for its prevention. MATERIALS AND METHOD: In this cross-sectional study, elderly aged above 60 years residing in Patiala were taken and were interviewed separately using the modified version of the Pittsburgh Sleep Quality Index (PSQI), which was pre-tested and pre-validated prior to commencement of the study. Data recorded was divided into seven components and each component had an individual range of 0 (no difficulty) to 3 (severe difficulty) points and added to obtain a combined score of the individual with a range of 0(no difficulty)-21(severe difficulty) points. Based on the combined score,  elderly obtaining a total score of 5 or greater was classified as having  “poor sleep quality”. Statistics were applied using SPSS version 22.0, using the student’s t- test, and multivariate analysis. A p value < 0.05 was considered as significant. RESULTS: Out of 108 elderly people, most of the participants (62.9%) belonged to the age group of 60-75 years, out of which the majority (65.7%) were males. Most elderly reported having “fairly good” subjective sleep quality (53.7%, p=0.01) and was found to be significant with a global PQSI score of 7.22±4.31. Multivariate analysis revealed that significant “poor sleep quality” was observed in elderly aged above 75 years (OR:1.25, p=0.01) followed by elderly who were Immobilized (wheelchair/Bed ridden) (OR: 1.87, p=0.01). CONCLUSION: Efforts should be directed towards proper education of not only the elderly, but their children as well as colleagues and guardians to improve the sleep score of the elderly population.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S279-S279
Author(s):  
Linda Nyamute ◽  
Muthoni Mathai ◽  
Anne Mbwayo

AimsThe main objective was to determine whether quality of sleep is associated with burnout among undergraduate medical students at the University of Nairobi.The null hypothesis in our study population was; 'There is no significant association between poor sleep quality and burnout'.BackgroundIn a pressure prevailing environment, medical students find themselves in a vicious cycle of cutting down on sleep in attempts to cope and adjust to increasing workloads. Students with poor sleep quality have been found to perform worse in their board exam and have strained social engagements. Ultimately, this chronic sleep deprivation may lead to burnout which may cause diminished sense of accomplishment and impaired professional conduct, that may be carried on to the career as a physician. High levels of burnout have been associated with suicides.MethodThe sample size obtained was 384 and participants were selected by a mixed sampling method. Data collection was through self-administered questionnaires. Scales used for this study were the Pittsburg Sleep Quality Index(PSQI) and the Oldenburg Burnout Inventory(OLBI).Ethical considerations were adhered to and approval obtained from the Kenyatta National Hospital-University of Nairobi(KNH-UON) Ethics Board. Data entry and analysis was by SPSS v23. Data from 336 questionnaires were deemed fit for analysis.ResultWith a response rate of 87.5%, the prevalence of poor sleep quality and burnout were 69.9% and 74.7% respectively. There was a significant positive association between poor sleep quality and female gender, clinical years of study, living with family, poorly perceived socio-economic state and poor subjective academic performance. In addition, being female, younger, pre-clinical years, living independently off-campus and poor subjective academic performance were significantly associated with higher levels of burnout.Burnout had a significant correlation with poor sleep quality. Daytime functioning, a component of sleep quality had the highest correlation with components of burnout, disengagement and exhaustion. Overall, 57% of the respondents had both poor sleep quality &burnout, while only 12% were good sleepers with no burnout. Furthermore, having poor sleep increased the risk of having burnout by 2.8times. It is crucial that students adopt better sleeping habits to reduce the risk of burnout.ConclusionWith the high prevalence of poor sleep quality and burnout, peer-support groups and peer-led mentorship programs are recommended within this population to help deal with expectations, challenges and difficulties encountered within the course of medical education, in addition to preparing for the early future careers.


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