scholarly journals Association between sleep hygiene and sleep quality in medical students

2017 ◽  
Author(s):  
Cameron Brick
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Hygiene ◽  
Future Research ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Web Based ◽  
Subjective Sleep ◽  
Future Research Directions

The aim of the current study was to determine whether subjective sleep quality was reduced in medical students, and whether demographics and sleep hygiene behaviors were associated with sleep quality. A web-based survey was completed by 314 medical students, containing questions about demographics, sleep habits, exercise habits, caffeine, tobacco and alcohol use, and subjective sleep quality (using the Pittsburgh Sleep Quality Index). Correlation and regression analyses tested for associations among demographics, sleep hygiene behaviors, and sleep quality. As hypothesized, medical students’ sleep quality was significantly worse than a healthy adult normative sample (t=5.13, p<.001). Poor sleep quality in medical students was predicted by several demographic and sleep hygiene variables, and future research directions are proposed.Brick, C., Seely, D. L., & Palermo, T. M. (2010). Association between sleep hygiene and sleep quality in medical students. Behavioral Sleep Medicine, 8(2), 113–121. https://www.tandfonline.com/doi/abs/10.1080/15402001003622925

scholarly journals The Relationship between Self-Compassion and Sleep Quality: An Overview of a Seven-Year German Research Program

2020 ◽  
Vol 10 (3) ◽  
pp. 64 ◽  
Author(s):  
Sebastian Butz ◽  
Dagmar Stahlberg
Keyword(s):  
Sleep Quality ◽  
Meta Analysis ◽  
Experimental Studies ◽  
Small Sample ◽  
Future Research ◽  
Poor Sleep ◽  
Intervention Effects ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Self Compassion

Poor sleep quality is highly prevalent in modern societies and negatively linked to various health outcomes. While previous research has demonstrated preliminary evidence for self-compassion as a tool for improving sleep quality, this review provides a meta-analysis of respective published and unpublished results of our own research group using German samples. A total of nine studies are included (N = 956 participants), consisting of both correlational and experimental data. Across these studies, there was a medium correlation between self-compassion and subjective sleep quality, r = 0.303, 95% CI (0.244; 0.360). In three experimental studies, a small increase in participants’ self-reported sleep quality emerged, in comparison to control conditions, Hedges’ s g = 0.484, 95% CI (0.148; 0.821). Limitations on study level concern both the small sample sizes and short-term analyses of intervention effects. As a conclusion, this review supports both the correlational and causal relationship between self-compassion and increased subjective sleep quality across diverse operationalizations and samples. Future research should focus on the moderating effects of intervention type, duration of intervention effects, and type of target population.

scholarly journals 192 Self-reported sleep features in the Italian population across the first and second wave of the COVID-19 pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A77-A78
Author(s):  
Oreste De Rosa ◽  
Nicola Cellini ◽  
Francesca Conte ◽  
Serena Malloggi ◽  
Fiorenza Giganti ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Italian Population ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Time Points ◽  
Time In Bed ◽  
Second Wave

Abstract Introduction Several studies have shown the negative impact of COVID-19-related confinement measures (spring 2020) on sleep features and quality. Here we aim to follow-up on these data by assessing self-reported sleep characteristics during the second wave of the pandemic (autumn 2020) in Italy, where the government responded with a second, partial, lockdown. Methods Using a longitudinal approach, 214 participants (Mage=36.78±14.2y; 159F) who had participated in a previous survey (April 2020 – Total Lockdown, TL) completed the same online survey from November 10th to December 1st (Partial Lockdown, PL). In each survey, participants had to respond to a set of questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), referring to their current situation and, retrospectively, to their situation before the lockdown, resulting in four time-points (pre-TL, TL, pre-PL, PL). Results Linear mixed-model analysis showed that bedtime was delayed from pre-TL (23:46) to TL (24:42) and then linearly advanced in pre-PL (24:02) and PL (23:56). The same pattern emerged for rise time (pre-TL: 07:48, TL: 9:05, pre-PL: 8:28, PL: 7:58) and time in bed, which increased from pre-TL (8h4min) to TL (8h24min) and then linearly decreased (pre-PL: 8h15m, PL: 8h2m). Subjective sleep quality decreased in the two lockdowns compared to the period with no restrictions. The proportion of poor sleepers (PSQI>5) increased from 39.7% (pre-TL) to 48.6% in TL and again from 36.9% (pre-PL) to 47.7% in PL. Conclusion Sleep habits and quality showed different profiles across four time-points of the COVID-19 pandemic and related restrictive measures. Sleep timing alterations appeared during the first lockdown, recovered after the confinement period, and almost returned to baseline during the second lockdown (likely due to a normalization of working schedules). Instead, subjective sleep quality markedly worsened during both lockdowns relative to the preceding respective months. These data suggest that subjective sleep quality is particularly sensitive to changes in life habits and psychological factors, independently of sleep habits. Considering that the pandemic situation may continue for several months, there is a need for interventions targeting sleep quality. Support (if any) N/A

scholarly journals The influence of subjective sleep quality on the association between eveningness and depressive symptoms.

2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Mediation Analysis ◽  
Depression Scale ◽  
Well Being ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Increased Risk ◽  
Healthy Participants

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.

The Effect of Uncoupled Sleep and Dysfunctional Sleep Beliefs on Sleep Outcomes in Older Adults following Online Cognitive Behavioral Therapy for Insomnia: A Single-Group Non-randomized Trial (Preprint)

2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley
Keyword(s):  
Older Adults ◽  
Cognitive Behavioral Therapy ◽  
Sleep Quality ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705

scholarly journals Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents

2020 ◽  
Vol 17 (24) ◽  
pp. 9363
Author(s):  
Serena Malloggi ◽  
Francesca Conte ◽  
Giorgio Gronchi ◽  
Gianluca Ficca ◽  
Fiorenza Giganti
Keyword(s):  
Sleep Quality ◽  
Depressed Mood ◽  
Behavioral Problems ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Sleep Latency ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Quality Perception ◽  
Subjective Sleep

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.

Sleep Quality and Cognitive Function in the Elderly Population

2020 ◽  
Author(s):  
Seyed Valiollah Mousavi ◽  
Elham Montazar ◽  
Sajjad Rezaei ◽  
Shima Poorabolghasem Hosseini
Keyword(s):  
Regression Analysis ◽  
Cognitive Function ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Elderly Population ◽  
Sleep Latency ◽  
The Elderly ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Background and Objective: Physiological process of sleep is considered as one of the influential factors of human’s health and mental functions, especially in the elderly. This research aimed at studying the association between sleep quality and the cognitive functions in the elderly population. Materials and Methods: A total of 200 elderly people (65 years and older) who were the members of retirees associa-tion in Mashhad, Iran, participated in this cross-sectional study. The participants were asked to answer the questionnaire of Pittsburgh Sleep Quality Index (PSQI) and Montreal Cognitive Assessment (MoCA) test. Correlation between the total scores of PSQI and MoCA was evaluated by Pearson correlation coefficient. In order to predict the cognitive func-tion based on different aspects of PSQI, multiple regression analysis by hierarchical method was used after removing confounding variables. Results: A significant association was found between PSQI and MoCA (P < 0.001, r = -0.55) suggesting that the com-ponents of use of sleeping medication (P < 0.001, r = -0.47), sleep disorders (P < 0.001, r = -0.37), sleep latency (P < 0.001, r = -0.34), subjective sleep quality (P < 0.001, r = -0.32), sleep duration (P < 0.001, r = -0.27), sleep effi-ciency (P < 0.001, r = -0.26), and daytime dysfunction (P < 0.001, r = -0.15) had significant negative correlation with cognitive function, and the four components of subjective sleep quality (P = 0.010, β = -0.15), sleep latency (P = 0.040, β = -0.13), sleep disorders (P = 0.010, β = -0.26), and use of sleeping medication (P = 0.010, β = -0.26) played a role in prediction of cognitive function in regression analysis. Conclusion: Poor sleep quality, sleep latency, insomnia, sleep breathing disorder, and use of sleeping medication play a determining role in cognitive function of the elderly. Thus, taking care of the sleep health is necessary for the elderly.

scholarly journals Sleep quality in medical students: a comparison across the various phases of the medical course

2017 ◽  
Vol 43 (4) ◽  
pp. 285-289 ◽  
Author(s):  
Camila de Castro Corrêa ◽  
Felipe Kazan de Oliveira ◽  
Diego Scherlon Pizzamiglio ◽  
Erika Veruska Paiva Ortolan ◽  
Silke Anna Theresa Weber
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep ◽  
Group A ◽  
Group B

ABSTRACT Objective: To evaluate and compare subjective sleep quality in medical students across the various phases of the medical course. Methods: This was a cross-sectional study involving medical undergraduates at one medical school in the city of Botucatu, Brazil. All first- to sixth-year students were invited to complete the Pittsburgh Sleep Quality Index, which has been validated for use in Brazil. Participants were divided into three groups according to the phase of the medical course: group A (first- and second-years); group B (third- and fourth-years); and group C (fifth- and sixth-years). The results obtained for the instrument components were analyzed for the total sample and for the groups. Results: Of the 540 students invited to participate, 372 completed the instrument fully. Of those, 147 (39.5%) reported their sleep quality to be either very or fairly bad; 110 (29.5%) reported taking more than 30 min to fall asleep; 253 (68.0%) reported sleeping 6-7 h per night; 327 (87.9%) reported adequate sleep efficiency; 315 (84.6%) reported no sleep disturbances; 32 (8.6%) reported using sleeping medication; and 137 (36.9%) reported difficulty staying awake during the day at least once a week. Group comparison revealed that students in group A had worse subjective sleep quality and greater daytime dysfunction than did those in groups B and C. Conclusions: Medical students seem to be more exposed to sleep disturbance than other university students, and first- and second-years are more affected than those in other class years because they have worse subjective sleep quality. Active interventions should be implemented to improve sleep hygiene in medical students.

scholarly journals Sleep deprivation and drowsiness of medical residents and medical students

2016 ◽  
Vol 43 (6) ◽  
pp. 438-444 ◽  
Author(s):  
KÁTIA SHEYLLA MALTA PURIM ◽  
ANA TEREZA BITTENCOURT GUIMARÃES ◽  
ANA CLÁUDIA KAPP TITSKI ◽  
NEIVA LEITE
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Deprivation ◽  
Pittsburgh Sleep Quality Index ◽  
Medical Residents ◽  
Undergraduate Medical Students ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Preventive Actions ◽  
Demographic Questionnaire

ABSTRACT Objective: to evaluate sleep quality and daytime sleepiness of residents and medical students. Methods: we applied a socio-demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) to a population of residents and medical students. Results: hundred five residents and 101 undergraduate medical students participated. Residents presented higher mean PSQI (6.76±2.81) with poorer sleep quality when compared with undergraduates (5.90±2.39); Both had similar measures of sleepiness by ESS (p=0.280), but residents showed lower duration and lower subjective sleep quality. Conclusion: medical students and residents presented sleep deprivation, indicating the need for preventive actions in the medical area.

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals ASSOCIATIONS OF GENERAL MENTAL HEALTH SYMPTOMS WITH SUBJECTIVE SLEEP QUALITY AND INDIVIDUAL DAYTIME SLEEPINESS

2019 ◽  
Vol 6 (4) ◽  
pp. 192-199
Author(s):  
R.S. Schierholz ◽  
I. Zavgorodniy ◽  
S. Darius ◽  
I. Böckelmann
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Daytime Sleepiness ◽  
General Health Questionnaire ◽  
Poor Sleep ◽  
Mental Health Symptoms ◽  
Subjective Sleep Quality ◽  
Health Symptoms ◽  
General Mental Health ◽  
Subjective Sleep

ASSOCIATIONS OF GENERAL MENTAL HEALTH SYMPTOMS WITH SUBJECTIVE SLEEP QUALITY AND INDIVIDUAL DAYTIME SLEEPINESS Schierholz RS, Zavgorodniy I., Darius S., Böckelmann I. Purpose: Sufficient sleep quality plays a significant role for long-term physical and mental health. The aim of this study was to examine the associations of general mental health symptoms with sleep quality and daytime sleepiness. Materials and Methods: A cross-sectional survey with 84 included participants (female: n = 42, male: n = 42) was conducted. General mental health symptoms were assessed using the 12-item General Health Questionnaire (GHQ-12), sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI), and daytime sleepiness was evaluated with the Epworth Sleepiness Scale (ESS). Statistical differences were calculated using two-sample t-test and Mann-Whitney U test. For correlation analyses Spearman’s rank correlation was used. Results: Subjects with poor sleep quality reached higher scores in the GHQ-12 and in the ESS than subjects with good sleep quality, but the difference regarding the ESS was not significant. Higher GHQ-12 scores were associated with higher PSQI scores but not with higher ESS scores. Conclusions: Major findings show strong evidence of an association between general mental health symptoms and sleep quality with poor sleepers having a more disturbed mental health than good sleepers. Further evidence of the interrelationship between subjective sleep quality and general mental health symptoms was found. Keywords: Mental health, Work ability, Stress, Sleep, Insomnia   Абстракт ЗВ’ЯЗОК ЗАГАЛЬНИХ СИМПТОМІВ ПСИХІЧНОГО ЗДОРОВ'Я З СУБ'ЄКТИВНОЮ ЯКІСТЮ СНУ ТАІНДИВІДУАЛЬНОЮ ДЕННОЮ СОНЛИВІСТЮ Робін Себастьян Шірхольц*, Ігор Завгородній, Сабіна Даріус, Ірина Беккельман Мета: Достатня якість сну відіграє важливу роль для тривалого фізичного та психічного здоров’я. Метою цьогодослідження було вивчення залежності загальних симптомів психічного здоров’я від якісті сну та денноїсонливості. Матеріали та методи: Було проведено перехресне опитування за участю 84 учасників (жінки: n = 42, чоловіки: n= 42). Загальні симптоми психічного здоров’я оцінювали за допомогою Анкети загального здоров’я (GHQ-12), яка містить 12 пунктів; якість сну оцінювали за допомогою Пітсбургського опитувальника якості сну (PSQI), а денну сонливість оцінювали за Шкалою сонливості Епворта (ESS). Статистичні відмінності розраховувались за допомогою двопробного t-тесту та U-тесту Манна-Вітні. Для кореляційного аналізу було використано рангову кореляцію Спірмена. Результати: Суб'єкти з низькою якістю сну показали більш високі показники у GHQ-12 та ESS, ніж суб'єкти із хорошою якістю сну, але різниця щодо ESS була несуттєвою. Більш високі показники GHQ-12 були пов'язані з більш високими показниками PSQI, але не з більш високими показниками ESS. Висновки: Основні результати виявляють вагомі докази зв'язку між загальними симптомами психічного здоров’я та якістю сну людей, які погано сплять, та людей з міцним сном. У людей з поганим сном більш виражені порушення психічного здоров’я. Були знайдені додаткові докази взаємозв'язку між суб'єктивною якістю сну та загальними симптомами психічного здоров'я. Ключові слова: Психічне здоров'я, працездатність, стрес, сон, безсоння    Абстракт СВЯЗЬ ОБЩИХ СИМПТОМОВ ПСИХИЧЕСКОГО ЗДОРОВЬЯ С СУБЪЕКТИВНЫМ КАЧЕСТВОМ СНА И ИНДИВИДУАЛЬНОЙ ДНЕВНОЙ СОНЛИВОСТЬЮ Робин Себастьян Ширхольц, Игорь Завгородний, Сабина Дариус, Ирина Беккельманн Цель: Достаточное качество сна играет важную роль для долгосрочного физического и психического здоровья. Целью данного исследования было изучение связи общих симптомов психического здоровья с качеством сна и дневной сонливостью. Материалы и методы. Было проведено перекрестное исследование с 84 участниками (женщины: n = 42, мужчины: n = 42). Общие симптомы психического здоровья оценивали с использованием Общего опросника здоровья (GHQ-12), содержащего 12 пунктов; качество сна оценивали с помощью Питтсбургского опросника качества сна (PSQI), а дневную сонливость оценивали по Шкале сонливости Эпворта (ESS). Статистические различия рассчитывали с использованием двухпробного t-теста и U-теста Манна-Уитни. Для корреляционного анализа была использована ранговая корреляция Спирмена. Результаты: Субъекты с плохим качеством сна показали более высокие баллы в GHQ-12 и в ESS, чем субъекты с хорошим качеством сна, но разница в отношении ESS не была значительной. Более высокие показатели GHQ-12 были связаны с более высокими показателями PSQI, но не с более высокими показателями ESS. Выводы: Основные результаты обнаруживают убедительные доказательства связи между общими симптомами психического здоровья и качеством сна людей, которые плохо спят, и людей с крепким сном. У людей с плохим сном более выражены нарушения психического здоровья. Были найдены дополнительные доказательства взаимосвязи между субъективным качеством сна и общими симптомами психического здоровья. Ключевые слова: психическое здоровье, трудоспособность, стресс, сон, бессонница

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