scholarly journals Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

2019 ◽  
Vol 5 (1) ◽  
pp. e000498
Author(s):  
Karim Khalladi ◽  
Abdulaziz Farooq ◽  
Sofiane Souissi ◽  
Christopher P Herrera ◽  
Karim Chamari ◽  
...  

ObjectiveInsufficient sleep duration and quality has negative effects on athletic performance, injury susceptibility and athlete development. This study aimed to assess the sleep characteristics of professional Qatar Stars League (QSL) soccer players.MethodsIn a cross-sectional study, QSL players (n=111; 23.7±4.8 years) completed three questionnaires to screen sleep disorders: (1) Pittsburgh Sleep Quality Index (PSQI), (2) Insomnia Severity Index (ISI) and (3) Epworth Sleepiness Scale (ESS). Poor sleep quality was defined as PSQI≥5, excessive daytime sleepiness was defined by ESS>8 and insomnia was defined as ISI≥11.ResultsThe prevalence of poor sleep quality (PSQI≥5) was 68.5%, with subthreshold insomnia (ISI≥11) 27.0% and daytime sleepiness 22.5% (ESS>8). Sleep quality was positively associated with insomnia (r=0.42, p<0.001) and daytime sleepiness (r=0.23, p=0.018). Age, anthropometry, body composition and ethnicity were not associated with any of the reported sleep quality parameters.ConclusionThe prevalence of poor sleep quality (68.5%) reported should concern practitioners. Increasing awareness of the importance of sleep relative to athletic performance, recovery, injury and illness appears prudent. Further, regular qualitative/quantitative sleep monitoring may help target subsequent evidence-informed interventions to improve sleep in those demonstrating undesirable sleep traits.

Author(s):  
Mohammad-Mehdi Mehrabinejad ◽  
Maryam Saraei ◽  
Abdolkarim Hajighaderi ◽  
Arezu Najafi

Background and Objective: Workplace exposes workers to different hazardous chemicals. In this study, we aimed to assess the changes of pulmonary function test (PFT) parameters as the objective indicator of lung impairment and its association with demographic data and sleep characteristics. Materials and Methods: This cross-sectional study was carried out on 200 male workers of a smelting factory located in Tehran Province, Iran. The respiratory symptoms questionnaire, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and demographic characteristics were recorded for the participants. Participants also underwent spirometry and the related parameters were recorded. Results: A total of 200 iron foundry workers were assessed. All participants were men, and mean ± standard deviation (SD) of age was 39.1 ± 8.9 years ranging from 20 to 65 years. Of 200 workers, 153 (76.5%) were married and 72 (36.0%) were smokers. Among all participants, 131 (65.5%) reported at least one respiratory symptom, and these workers had significantly poorer sleep quality (P = 0.02) and insomnia (P = 0.01). Across-shift change in forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR) of spirometry parameters was significant among participants with clinical insomnia (P = 0.02 and P = 0.04, respectively) and poor sleep quality (P < 0.0001 and P = 0.04, respectively). Conclusion: Results showed a significant cross-shift reduction in PFT values among workers with clinical insomnia or poor sleep quality. Accordingly, evaluation of sleep characteristics along with respiratory symptoms in workers with inhalational occupational exposure is recommended.


Author(s):  
Mayonara Fabíola Silva Araújo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Carolina Virginia Macedo de Azevedo ◽  
Diego de Sousa Dantas ◽  
Jane Carla de Souza

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Zohreh Yazdi ◽  
Khosro Sadeghniiat-Haghighi ◽  
Ziba Loukzadeh ◽  
Khadijeh Elmizadeh ◽  
Mahnaz Abbasi

The consequences of sleep deprivation and sleepiness have been noted as the most important health problem in our modern society among shift workers. The objective of this study was to investigate the prevalence of sleep disorders and their possible effects on work performance in two groups of Iranian shift workers and nonshift workers. This study was designed as a cross-sectional study. The data were collected by PSQI, Berlin questionnaire, Epworth Sleepiness Scale, Insomnia Severity Index, and RLS Questionnaire. Occupational impact of different sleep disorders was detected by Occupational Impact of Sleep Disorder questionnaire. These questionnaires were filled in by 210 shift workers and 204 nonshift workers. There was no significant difference in the age, BMI, marital status, and years of employment in the two groups. Shift workers scored significantly higher in the OISD. The prevalence of insomnia, poor sleep quality, and daytime sleepiness was significantly higher in shift workers. Correlations between OISD scores and insomnia, sleep quality, and daytime sleepiness were significant. We concluded that sleep disorders should receive more attention as a robust indicator of work limitation.


2021 ◽  
Vol 16 (1) ◽  
pp. 163-176
Author(s):  
Suzaily Wahab ◽  

Obstructive sleep apnoea (OSA) has multiple physical and psychosocial effects on individuals. Therefore, this study aims to determine the sleep quality, daytime sleepiness, depression and attention span in patients with OSA. This was a cross-sectional study among patients who were recently diagnosed with OSA in a Malaysian hospital. The socio-demographic and clinical data, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Patients Health Questionnaire and Comprehensive Trail Making Test were used as instruments. Findings were analysed and presented using Chi-Square, One-Way ANOVA and Independent- Sample T-test statistical analyses. Most of the respondents presented with poor sleep quality and impaired attention span. Approximately, half of the respondents had excessive daytime sleepiness. There were significant associations between sleep quality and daytime sleepiness (p-value=0.051), daytime sleepiness with depression (p-value=0.049) and severity of OSA with depression (p-value=0.026). Daytime sleepiness was significantly associated with working status (p-value=0.009) and driving status (p-value=0.033). In conclusion, most patients with OSA had poor sleep quality, excessive daytime sleepiness, and impaired attention span. Hence, OSA should be diagnosed and treated early, particularly in patients who are still working and actively driving.


Author(s):  
Chiara Costa ◽  
Michele Teodoro ◽  
Giusi Briguglio ◽  
Ermanno Vitale ◽  
Federica Giambò ◽  
...  

Since the novel coronavirus (SARS-CoV-2) has spread worldwide, healthcare workers—resident physicians in particular—have been hugely involved in facing the COVID-19 pandemic, experiencing unprecedented challenges in fighting the disease. We aimed to evaluate the prevalence of poor sleep quality, daytime sleepiness, and alterations in mood state profiles in this category. This cross-sectional study, conducted in 2020, enrolled 119 subjects from a university hospital in southern Italy. Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Profile of Mood States (POMS) questionnaires were administered to physicians divided into four areas: anesthesiology, medicine, service, and surgery. In the overall sample, approximately 45% reported poor sleep quality, although only nine subjects (8%) reported an ESS score that suggested excessive daytime sleepiness. Alterations in mood profiles were also observed; the Vigor and Fatigue factors were the most altered. In particular, anesthesiologists seem to be the most affected category, showing a profound decrease in Vigor with a concomitant increase in Fatigue. Considering the possible consequences of the COVID-19 pandemic, preventive measures should be adopted, especially those aimed at facilitating a better turnover of physicians, optimizing the working schedule, and improving the organization of work.


2020 ◽  
Vol 2020 ◽  
pp. 1-4
Author(s):  
Ahmad Janatmakan Amiri ◽  
Negar Morovatdar ◽  
Atefeh Soltanifar ◽  
Ramin Rezaee

Study Objectives. A very limited number of studies have evaluated the prevalence of sleep problems, and related factors, in Iranian medical students. The aim of this study was to determine the prevalence of sleep disturbance and potential associated factors among medical students of Mashhad University of Medical Sciences, Mashhad, Iran. Methods. In this cross-sectional study, 315 medical students chosen by stratified random sampling participated in the academic year 2018-2019. The Pittsburgh Instrument and DASS-21 questionnaire were used to evaluate sleep quality and anxiety, depression, and stress, respectively. Also, demographic, educational, and socioeconomic information was collected. SPSS 16 software was used for data analysis. Results. Out of 300 students who completed the questionnaires, 165 (55%) were male, with a mean age of 21.94±2.28 years old. The prevalence of poor sleep quality was 51.3%. We did not find significant associations among age, sex, and poor sleep quality. Concurrent psychological symptoms such as stress, depression, and anxiety were significantly associated with sleep disorders. After adjusting variables in the multivariable regression model, depression (OR=2.81, 95% CI: 1.35-5.87; p=0.006) and the number of hours spent on using smartphones in 24 hours (OR=1.13, 95% CI: 1.02-1.25; p=0.01) were significantly associated with poor sleep quality among medical students. Conclusion. The prevalence of poor sleep quality among medical students was high, and we found that increased use of smartphones during the day and depression were associated with sleep disorders.


2012 ◽  
Vol 10 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Maria E. Carlsson

AbstractObjective:The aim of the present pilot study was to investigate insomnia, sleep quality, and daytime sleepiness in relatives of dying patients cared for at home.Method:The study has a descriptive, comparative, and cross-sectional design. The sample consisted of relatives of patients cared for through palliative home care in Uppsala County on 3 specific days. Relatives completed a questionnaire consisting of demographic questions, and items from the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale (ESS), and the Richard Campell Sleep Questionnaire (RCSQ).Results:Seventy-five relatives answered the questionnaire. The average total ISI score was 9.6, with 23% reporting moderate or severe clinical insomnia. The mean sleep duration was 6.5 hours, the mean assessed need of sleep was 8 hours, and the mean discrepancy was 1 hour. The total mean ESS score was 5.6 and only 15% of respondents reported excessive daytime sleepiness. Four percent scored very poor sleep quality, whereas 39% scored very good sleep quality (RCSQ). Two general age- and gender-related patterns were observed. Negative correlations were found between age and sleep problems, with younger relatives reporting more insomnia problems and more daytime sleepiness than did older relatives. The other general pattern was that womens' sleep quality was significantly inferior to that of men. A significant positive correlation was found between ISI and ESS, but not between RCSQ and ESS.Significance of results:The picture of the relatives' sleep condition is fairly complex. A minority reported clinical insomnia problems or excessive daytime sleepiness, and 73% reported getting less sleep than they wanted.


Author(s):  
Mayonara Fabíola Silva Araújo ◽  
Xaíze de Fátima de Medeiros Lopes ◽  
Carolina Virginia Macedo de Azevedo ◽  
Diego de Sousa Dantas ◽  
Jane Carla de Souza

Abstract: Introduction: Changes in the Sleep/Wake Cycle (SWC) of university students can have consequences on physical, mental and social health. In addition, some behaviors adopted at this stage may be associated with SWC impairment. Objective: Therefore, this study aims to identify which factors of social determinants of health (SDH) are associated with poor sleep quality and excessive daytime sleepiness (EDS) in university students. Method: This is a cross-sectional study that included 298 university students, aged between 18 and 35 years; 73.2% of the students were females and from the countryside of the state of Rio Grande do Norte, Brazil. Data were collected from the following questionnaires: Health and Sleep, Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. To assess the association of SDH with poor sleep quality and excessive daytime sleepiness, Poisson Regression with robust variance was performed. Result: The prevalence of poor sleep quality and excessive daytime sleepiness among the university students was 79.2% and 51.3%, respectively. Between the intermediate determinants of health, a higher prevalence rate of poor sleep quality was observed in students who reported health problems in the previous month (18.4%), smoked (23.5%), drank stimulating beverages close to bedtime (25.8%) and those who used electronic devices before bedtime during the week (18.4%) when compared to those who did not have these behaviors. Regarding excessive daytime sleepiness, students who justified bedtime during the week and wake-up time at the weekend because of the academic demand showed, respectively, 27% and 34% lower prevalence of EDS than the group that did not have these behaviors. Conclusions: The high prevalence of poor sleep quality and EDS observed among university students was associated to biological factors and most of them, behavioral factors.


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