Predictors Of Poor Sleep Quality Research Articles

The Effects of Lucid Dreaming and Nightmares on Sleep Quality and Mental Health Outcomes

ABSTRACT Objectives This study aimed to investigate relationships between lucid dreaming and sleep and mental health outcomes within a representative sample of the general population. We also sought to examine how nightmares interact with the relationship between lucid dreaming, sleep, and mental health outcomes. Methods Participants (N = 1332) completed measures of lucid dream frequency, nightmare frequency, anxiety and depressive symptoms, stress, and sleep quality. Hierarchical regression models were conducted, where step-1 examined the direct effect of lucid dreaming on all outcome variables, and step-2 added nightmares into the equation (to examine direct effects of lucid dreaming frequency and nightmares, and the indirect effect of nightmares). Results Step-1 results demonstrated that lucid dreaming positively predicted poor sleep quality, stress, anxiety, and depressive symptoms. Step-2 results revealed that nightmares were the only significant predictor of poor sleep quality, stress, and anxiety symptoms, accounting for all of the variance of lucid dreaming. Nightmares and the interaction of nightmares and lucid dreaming positively predicted depressive symptoms. Conclusions Our results suggest that nightmares alone explain associations between lucid dreaming and poor sleep quality, anxiety symptoms, and stress. However, both nightmares and the combination of nightmares and lucid dreaming are associated with increased depressive symptoms.

Prevalence and Correlates of Poor Sleep Quality Among Psychiatry Physicians in Saudi Arabia: A Cross-Sectional Study.

Sleep issues pose a significant burden to public health and well-being in Saudi Arabia. However, research evidence on sleep health among psychiatry physicians in this territory is limited. Therefore, to bridge the research gap, this study was designed to assess the prevalence and predictors of poor sleep quality among psychiatry physicians in the country. This cross-sectional study included 554 psychiatry physicians in Saudi Arabia from March to August 2023. Data were collected via online through a structured questionnaire (Google survey form). Sleep quality, the outcome variable of our study, was evaluated with the Pittsburgh Sleep Quality Index (PSQI; 19 items). Independent variables included sociodemographic and behavioral characteristics, sleep habits, major depression (assessed with Patient Health Questionnaire-9), and anxiety (measured with Generalized Anxiety Disorder-7) symptoms. Binary logistic regression analysis was performed to identify the correlates of poor sleep quality. Based on the PSQI, 61.3% of the study participants had poor-quality sleep (age range: 24-56 years, male: 48.0%). The adjusted model revealed that male participants (AOR = 2.80, 95% CI = 1.70-4.61) and those who had on-call duties ≥ 2 times per week (for three/four per week: AOR = 3.41, 95% CI = 1.89-6.14) were at higher risk of developing poor sleep quality compared to their respective counterparts. Participants with depressive symptoms (AOR = 3.46, 95% CI = 1.60-7.48) and smoking habits (AOR = 3.47, 95% CI = 1.32-9.08) had higher odds of developing poor sleep quality than their counterparts. Moreover, participants who always used their smartphone/laptop before going to bed were more likely to have poor sleep quality than those who never used such (AOR = 3.15, 95% CI = 1.31-7.60). Poor sleep quality is extremely prominent among psychiatry physicians in Saudi Arabia. Male sex, higher on-call duty, smoking habits, depression, and smartphone/laptop use before bedtime were significantly associated with poor sleep quality. These findings emphasize the need for sleep-health promotion interventions for Saudi psychiatry physicians.

Sleep Quality Assessment and Its Predictors Among Saudi Adults with Type 1 and Type 2 Diabetes: A Cross-Sectional Study

Background: Poor sleep quality is prevalent among adults with diabetes, impacting their physical, psychological, and functional well-being. Our goals were to assess the prevalence of poor sleep quality and its association with glycemic control and to identify predictors of poor sleep quality among adults with diabetes mellitus. Methods: This cross-sectional study took place at a tertiary hospital, from October 2022 to March 2023, including 192 adults with type 1 and type 2 diabetes. We collected demographic and clinical data and utilized the Pittsburgh Sleep Quality Index (PSQI) scale to evaluate sleep quality. Results: A total of 65.9% of the participants experienced poor sleep quality (PSQI score > 5), with an average global sleep quality score of 7.36 ± 3.53 for all patients. Poor sleep quality was higher among older and married patients, those with lower education levels, housewives, and those with type 2 diabetes mellitus and associated comorbidities, such as hypertension and dyslipidemia. None of these factors were significantly associated with sleep quality in a multiple linear regression analysis. The mean glycated hemoglobin was 8.68 ± 1.91% and did not correlate with the overall PSQI score and its components. Conclusions: This study revealed a notably high prevalence of poor sleep quality among Saudi adults with diabetes, potentially associated with specific sociodemographic and clinical factors. These findings emphasize the importance of integrating sleep quality education into diabetes management strategies.

The Association of Smartphone Usage with Sleep Disturbances among Medical Students

Abstract Background Smartphones have become an important and vital instrument that all medical students utilize, but the usage of such devices has been found to be connected to sleep disturbances. The aim of this study was to estimate the prevalence and the relationship between smartphone addiction and poor sleep quality among medical students. Methods A cross-sectional study was conducted among the fifth- and sixth-year medical students at King Saud bin Abdulaziz University for Health Sciences in Riyadh, Saudi Arabia. A self-administered questionnaire was distributed to investigate the relation between smartphone usage and sleep disturbances. The questionnaires included demographic details, Pittsburgh Sleep Quality Index (PSQI) and smartphone addiction scale short version (SAS-SV). Results All 251 respondents had smartphones that were utilized for social media, communication, studying, etc. Most of the students were identified as smartphone addicts (65%), and 75% of the students had poor sleep quality. Sleep quality was found to be poor in 145 (85%) students with smartphone addiction. Smartphone addiction was significantly associated with poor sleep quality (odds ratio [OR]: 4.271; 95% confidence interval [CI]: 2.300–7.933; p < 0.001). Gender and academic year were not significant predictors of poor sleep quality with p-values of 0.668 and 0.361, respectively. Smartphone addiction was significantly more prevalent among female students (80%) compared to male students (60%; p = 0.004), with the mean addiction score of 43.5 ± 11.5 and 33.5 ± 9.1, respectively (p < 0.001). Conclusion Our study shows a significant association between smartphone addiction and poor sleep quality. It is strongly recommended that counseling services be provided to medical students to assist those suffering from smartphone addiction and sleep difficulties.

A quantitative examination of sleep quality, burnout, psychological distress, and social support availability of electrical workers in Ontario, Canada

Electrical workers experience difficult psychosocial working conditions that may expose them to poor mental health outcomes. This study aims to explore the relationships between psychological distress, access to social support, burnout, and sleep quality in Canadian electrical workers. A 30-item cross-sectional survey including the Pittsburgh Sleep Quality Index, Kessler’s Psychological Distress Scale, Copenhagen Burnout Inventory, and social support questions from the WHO-QoL-BREF were completed by 118 electrical workers. Data was analyzed to determine differences between groups, correlations between variables, and to identify predictors of poor sleep quality. No significant differences were found in burnout scores and subjective sleep quality between apprentices, electricians, and contractors. Apprentices reported being more psychologically distressed than electricians (p = 0.005) and contractors (p < 0.001). Electrical workers preferred social support from spouses, family, or friends when things get tough at work. Poor sleep quality was correlated with personal burnout (r = 0.45), work-related burnout (r = 0.37), and psychological distress (r = 0.39); however, these factors did not predict poor sleep quality. The study suggests a need for improved interpersonal communication, stress management, and help-giving behavior among electrician-apprentice and contractor-apprentice relationships in the workplace. Future research should explore the cultural and social dynamics between workers to better understand their impacts on health and wellbeing.

Predictors of Insomnia and Sleep Abnormalities in Medical Students and Its Impact on Academic Performance

Abstract Objectives: This study aims to investigate predictors of insomnia and their prevalence among medical students from different levels, as well as the impact of insomnia on academic performance. Methods: This multicenter cross-sectional study was conducted on medical students of different levels at 37 medical colleges in Saudi Arabia from March 2020 to June 2020. An online survey was used for data collection. The survey included questions on the demographics of students and two scales: the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). The Statistical Package for the Social Sciences Program was used to analyze the data, and demographics were represented using descriptive statistics. Associations were tested using either the Chi-square test, Pearson correlation, or Spearman’s correlation based on the types of variables. P &lt;0.05 was considered significant. Results: The study included 2413 medical students; the mean ± standard deviation of the ISI and PSQI was 11.6 ± 6.2 and 8.4 ± 3.7, respectively. The ISI results showed that only 27% had no clinical insomnia, while 39% had subthreshold insomnia. The ISI was negatively and significantly associated with exercise (r = −0.49, P = 0.016), meals (r = −0.088, P = 0.0001), and drinking water (r = −0.057, P = 0.005). The negative predictors of poor sleep quality included study year (B = −0.106, P &lt; 0.05) and water intake (B = −0.568, P &lt; 0.01). Conclusion: A few proportions of medical students complained of moderate insomnia, and a lower proportion suffered severe insomnia. Lower academic performance was associated with insomnia and poor sleep quality. Various predictors of insomnia were identified; however, these predictors can be modified.

Insight into sleep quality and its relationship with emotional intelligence: results of a cross-sectional study among Italian university students.

This study aimed to investigate sleep habits and examine the relationship between sleep quality and its potential predictors, namely Emotional Intelligence (EI) and perceived health status. The present cross-sectional study was conducted between February 13 and February 28, 2023, at the "Magna Græcia" University of Catanzaro, in the Southern part of Italy. The study involved undergraduate students who were 18 years or older, proficient in the Italian language, and with no restrictions on the major attended. They completed a self-administered survey on socio-demographic information, health status, sleep quality (Pittsburgh Sleep Quality Index-PSQI), EI, and perceived health status. The majority of the sample (59.6%) was enrolled in medical or life science majors. The results showed a high prevalence of poor sleep quality and sleep latency was identified as the most affected aspect of it. The female gender and the self-perceived health status were the strongest predictors of poor sleep quality. Poor sleepers showed lower emotional clarity, emotional repair, and total EI scores. Moreover, as age increased, the odds of being classified as a poor sleeper increased by 7%. The survey highlights that poor sleep health is still a significant issue and empowering individuals to make proactive decisions to adopt healthy lifestyles in the early phase of life is of paramount importance. The study exhibited the interesting role of EI in influencing sleep quality, highlighting that when emotional events are insufficiently regulated, it may result in sleep disturbances. Therefore, the promotion of sleep quality requires an integrated yet innovative approach including emotion regulation.

Addressing Environmental Factors for SDG 3-Health and Wellbeing: Perceived Stress, Sleep Quality, and Coping among Medical Students in Pakistan

The objective of this study was to investigate the interplay between perceived stress, sleep quality, and coping mechanisms among medical students, with a view to understand their implications for Sustainable Development Goal 3 (SDG 3) - "Good Health and Well-being," and considering environmental factors. Conducted as a cross-sectional study and 300 medical university students (152 men, 148 women), aged 18 to 25 years (mean age = 22.73, SD = 1.78), were selected using stratified random sampling based on their academic year. The study employed the Perceived Stress Scale, General Sleep Scale, and Brief COPE to assess the study variables. The results revealed gender differences in coping strategies, with female students exhibiting higher scores in avoidant and emotion-focused coping, while male students leaned towards problem-focused coping. Notably, perceived stress and avoidant coping emerged as significant predictors of poor sleep quality (p&lt;.05) among the participants. This study found significant relationship among use of green spaces, stress, sleep quality, and coping strategies among medical students, aligning with SDG 3's objective of ensuring healthy lives and promoting well-being for all. Furthermore, while the study did not directly address environmental factors, it indirectly emphasizes the importance of creating conducive environments for health and well-being. Environmental considerations such as access to green spaces and a healthy physical environment can influence individuals' stress levels and sleep quality, contributing to holistic health outcomes. Given these findings, the study recommends that counseling centers in universities develop strategies for managing students' stress and sleep quality, while promoting healthy coping skills. By addressing these factors comprehensively, universities can contribute to enhancing students' psychological well-being and advancing progress towards SDG 3 and create sustainable and healthy environments, as outlined in SDG 13 (Climate Action), to complement initiatives focused on fostering sustainable environments conducive to health and well-being.

Sleep quality and screen time among university professors: impact of emergency remote teaching amidst COVID-19 crisis.

Sleep plays a crucial role in maintaining physical and mental health. The COVID-19 pandemic has brought about unprecedented global changes, and disruptions in sleep quality have emerged as a challenge. The pandemic prompted a dramatic shift in the working landscape for university professors, necessitating emergency remote teaching (ERT). This transition substantially increased professors' screen time for academic and research endeavors. This study explores the relationship between screen time and sleep quality among university professors during the pandemic and examines associated factors, including psychological well-being. An electronic survey, covering demographics, education, screen time, sleep quality, and mental health, was administered to professors who worked during the spring semester of 2020. Standardized measures were used to assess sleep quality and mental health. Correlations, Mann-Whitney tests, and multivariate regression explored associations between screen time, sleep quality, and other variables. One hundred sixty participants exhibited poor sleep quality, subthreshold insomnia, and mild depression. Increased screen time correlated with poorer sleep quality, elevated stress levels, and heightened depression severity. Evening screen users reported more insomnia than daytime users. Depression emerged as a significant predictor of poor sleep quality and insomnia, along with evening screen use. This study among university professors underscores the impact of screen time on sleep quality during the COVID-19 pandemic. Participants faced poor sleep, largely influenced by heightened screen time due to ERT. Considering these findings, this study emphasizes the importance of curbing daytime screen exposure and abstaining from screens in the evening, especially for university professors reliant on technology for their professional responsibilities.

Photophobia is associated with lower sleep quality in individuals with migraine: results from the American Registry for Migraine Research (ARMR)

BackgroundPatients with migraine often have poor sleep quality between and during migraine attacks. Furthermore, extensive research has identified photophobia as the most common and most bothersome symptom in individuals with migraine, second only to headache. Seeking the comfort of darkness is a common strategy for managing pain during an attack and preventing its recurrence between episodes. Given the well-established effects of daily light exposure on circadian activity rhythms and sleep quality, this study aimed to investigate the relationship between photophobia symptoms and sleep quality in a cohort of patients with migraine.MethodsA cross-sectional observational study was conducted using existing data extracted from the American Registry for Migraine Research (ARMR). Participants with a migraine diagnosis who had completed the baseline questionnaires (Photosensitivity Assessment Questionnaire (PAQ), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-2 (PHQ-2)), and selected questions of the ARMR Sleep questionnaire were included. Models were created to describe the relationship of photophobia and photophilia with various sleep facets, including sleep quality (SQ), sleep disturbance (SDis), sleep onset latency (SOL), sleep-related impairments (SRI), and insomnia. Each model was controlled for age, sex, headache frequency, anxiety, and depression.ResultsA total of 852 patients meeting the inclusion criteria were included in the analysis (mean age (SD) = 49.8 (13.9), 86.6% (n = 738) female). Those with photophobia exhibited significantly poorer sleep quality compared to patients without photophobia (p < 0.001). Photophobia scores were associated with SQ (p < 0.001), SDis (p < 0.001), SOL (p = 0.011), SRI (p = 0.020), and insomnia (p = 0.005) after controlling for age, sex, headache frequency, depression, and anxiety, signifying that higher levels of photophobia were associated with worse sleep-related outcomes. Conversely, photophilia scores were associated with better sleep-related outcomes for SQ (p < 0.007), SOL (p = 0.010), and insomnia (p = 0.014).ConclusionResults suggest that photophobia is a significant predictor of poor sleep quality and sleep disturbances in migraine. These results underscore the necessity for comprehensive and systematic investigations into the intricate interplay between photophobia and sleep to enhance our understanding and develop tailored solutions for individuals with migraine.

Effects of diabetes mellitus complications on sleep quality among Saudi Arabian patients-A national study.

In diabetes mellitus (DM) patients, obtaining a good night's sleep is crucial for maintaining body caloric intake, controlling insulin levels, and reducing the likelihood of engaging in unhealthy behavior. Patients with poor sleep quality may experience impaired glycemia, playing a significant role in the development of chronic complications. This study aims to explore the effects of DM complications on sleep quality among Saudi Arabian patients. This is a cross-sectional study conducted among patients with diabetes. A self-administered, validated questionnaire translated into Arabic was distributed among diabetic patients using an online survey. The questionnaire includes sociodemographic characteristics (i.e. age, gender, marital status, etc.), the medical history of the patients, and a questionnaire about sleep quality. Out of 4171 patients involved, 52.7% were females and 27.7% were aged between 40 and 60 years old. The prevalence of patients with perceived poor sleep quality was 24.1%. Significant predictors of poor sleep quality were the gender female, having social stressors, comorbid sleep disorders, associated comorbidities, increasing HbA1c levels, being overweight/obese, and diabetes complications. Furthermore, sleep disturbance, taking sleep medications, daytime sleepiness, and having bad dreams during sleep were also identified as prognostic factors for poor sleep quality. The subjective poor sleep quality of patients with diabetes was 24.1%. Poor sleep quality was significantly demonstrated by females who were having social stressors, comorbid sleep disorders, comorbidities, uncontrolled HbA1c levels, elevated BMI levels, and complications of diabetes. However, regular physical activity and adequate sleep were estimated to be the protective factors against poor sleep quality. Further research is needed to establish the effect of sleep quality among patients with DM.

Poor Sleep Quality in Jamaican Adults With Sickle Cell Disease: Prevalence, Risk Factors, and Association With Quality of Life

Poor sleep and chronic illnesses have a bidirectional relationship where presence of one can worsen the other. Sickle cell disease (SCD) is associated with significant morbidity and early mortality. In this study, we examine sleep quality, its predictors, and its association with quality of life in Jamaican adults with SCD. This cross-sectional study evaluated 177 well adult SCD patients for sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and quality of life using the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me). Multiple linear regression models examined the predictors of poor sleep quality. The mean global PSQI score was 6.9 (SD 4.2) with 56.5% having poor sleep quality. Women had significantly worse scores for sleep efficiency (p 0.005), sleep latency (p 0.03) and higher use of sleeping medications (p 0.02). Those overweight/obese had significantly worse subjective sleep quality (p 0.001) and sleep efficiency (p 0.05). In multivariate regression analysis, overweight individuals had poorer sleep quality (OR: 2.9; 95% C.I.: 1.07, 7.88) than those with normal weight whereas those unemployed and looking for a job had lower prevalence of poor sleep quality (OR 0.2; 95% C.I.: 0.05, 0.77) compared to employed individuals. Participants with good sleep quality had significantly better functioning in all 5 domains of the ASCQ-Me. In conclusion, persons with SCD who are overweight or obese are at increased risk of poor sleep which can negatively affect quality of life. Patient populations and healthcare providers will need to manage the emerging burden of overweight/obesity.

Sleep quality and its association with anxiety, stress, sleep-related beliefs and attitudes and postural control in young adults: a cross-sectional study.

Adequate sleep is essential for young adults, as this age group primarily consists of students, job seekers, and working people constantly managing a hectic lifestyle. Poor quality of sleep, which is essential for physical and mental well-being in the short and long term, can result in impaired overall health. However, there exists a gap in the literature regarding the factors affecting sleep among young adults. Hence, the objective of this study was to find the prevalence of sleep-related parameters (sleep health, hygiene, and sleep-related beliefs and attitudes) and potential risk factors for sleep quality and to investigate the association between sleep and postural control in young adults. This prospective, cross-sectional, analytical study included 181 young adults, 113 (62.43 %) females, and 68 (37.57 %) males, with a mean age of 23.82±2.88 years. Sleep quality, health, beliefs, hygiene, stress, anxiety, and depression were assessed using questionnaires. Postural control was assessed using center of pressure (COP) indices. The overall prevalence of poor sleep quality was 79.01 % among young adults. Multiple linear regression showed that predictors explained 44 % of sleep quality variance (adjusted R square=0.44, f (12,168) = 20.91, p<0.05). Poor sleep-related beliefs and attitudes (95 % CI [0.037, 0.679], p=0.029), higher perceived stress (95 % CI [0.005, 0.219], p=0.039), higher anxiety severity (95 % CI [0.108, 0.526], p=0.003), and poor COP stability index A/P (95 % CI[4.986, 11.248], p=0.00) were found to be significant predictors of poor sleep quality. High anxiety and stress, and poor dysfunctional beliefs and attitudes about sleep are predictors of poor sleep quality in young adults. These factors may significantly affect sleep quality and the experience of restful sleep among young adults. Also, poor sleep quality is associated with reduced postural control (decreased stability in the A/P direction). These findings are crucial for improving young adults' overall health and well-being, as poor sleep is highly prevalent among this age group.

Impact of COVID-19 pandemic on sleep parameters and characteristics in individuals living with overweight and obesity.

Coronavirus disease 2019 (COVID-19) has been very challenging for those living with overweight and obesity. The magnitude of this impact on sleep requires further attention to optimise patient care and outcomes. This study assessed the impact of the COVID-19 lockdown on sleep duration and quality as well as identify predictors of poor sleep quality in individuals with reported diagnoses of obstructive sleep apnoea and those without sleep apnoea. An online survey (June-October 2020) was conducted with two samples; one representative of Canadians living with overweight and obesity (n = 1089) and a second of individuals recruited through obesity clinical services or patient organisations (n = 980). While overall sleep duration did not decline much, there were identifiable groups with reduced or increased sleep. Those with changed sleep habits, especially reduced sleep, had much poorer sleep quality, were younger, gained more weight and were more likely to be female. Poor sleep quality was associated with medical, social and eating concerns as well as mood disturbance. Those with sleep apnoea had poorer quality sleep although this was offset to some degree by use of CPAP. Sleep quality and quantity has been significantly impacted during the early part of the COVID-19 pandemic in those living with overweight and obesity. Predictors of poor sleep and the impact of sleep apnoea with and without CPAP therapy on sleep parameters has been evaluated. Identifying those at increased risk of sleep alterations and its impact requires further clinical consideration.

Sleep quality and mental health differences following Syria-Turkey earthquakes: A cross-sectional study.

This study explores the lasting mental health impact of the Syria-Turkey earthquakes in 2023 on a population affected by conflict and trauma. It analyzes pre- and post-event mental health and sleep quality differences, identifying predictors of outcomes. Studying the 2023 Syria-Turkey earthquakes' enduring mental health impact on conflict-affected individuals, this research informs better support and interventions for disaster survivors. This longitudinal, cross-sectional study examined the enduring mental health impact of the Syria-Turkey earthquakes. The present study involved N = 1,413 Syrian survivors, aged 18 years or older, who actively participated by contributing both pre- and post-earthquake data. A meticulously designed digital questionnaire with established metrics assessed sleep disturbances, depressive symptoms, and anxiety levels. Stratification variables (age, gender, education, marital status) were used for subgroup analysis. Arabic versions of PHQ-9, PSQI, and GAD-2 proved reliable for measuring depression, sleep quality, and anxiety. The majority of participants were female (73.6%) with tertiary education (83.3%). Post-earthquake, a higher percentage reported poor sleep quality (67.7% vs. 59.7%, p < .001) and increased prevalence of MDE (66.1% vs. 56%, p < .001). GAD did not differ significantly. Post-earthquake, women had a higher likelihood of poor sleep quality (OR: 1.58, 95% CI [1.19, 2.10], p < .001) and MDE (OR: 1.55, 95% CI [1.18 to 2.04], p = .003). Predictors varied before and after earthquakes; age and education were significant predictors of poor sleep quality, MDE, and GAD. This study reveals higher rates of poor sleep quality and major depressive episodes among earthquake-affected individuals, especially women. Age, education, and gender contribute to these outcomes. Targeted interventions and comprehensive mental health support are crucial for post-earthquake recovery.

Depression, Sleep Health & Sociodemographic Correlates in a Nationwide Survey: Implications for Depression Treatment During the COVID-19.

The COVID-19 pandemic has had a profound impact on mental health worldwide, with depression and sleep problems among the most common issues experienced by many individuals. Depression can lead to sleep problems, which can increase the risk of developing depressive symptoms. However, it is unclear which United States (US) sub-population was most affected by depression and sleep problems during the pandemic. We conducted a secondary analysis using self-reported data from the 2021 National Health Interview Survey (NHIS), focusing on adults aged 18 years and above (n=29,763). We utilized self-reported responses to questions about prescription medication and frequency of depressive feelings to determine participants' depression status. Appropriate weights were applied to account for the sampling design of the surveys. Our analysis involved descriptive statistics and chi-squared tests to compare sociodemographic, clinical, behavioral, and sleep-related characteristics between US adults with and without depression. Additionally, logistic regression was used to examine the associations between sleep duration, sleep quality and depression. The overall prevalence of depression in our sample was 44.4%. It were higher in certain demographic groups, including younger adults (18-39 years, 47.7%), non-Hispanic whites (47.9%), females (50.1%), those at the lower income bracket (52.2%), those with no college or degree (48.7%) uninsured individuals (45.2%), and those reporting poor general health (71.9%). Individuals with depression had a 12% increased odds of experiencing short sleep (aOR: 1.12, 95% CI:1.04-1.20, p<0.001), 34% increased odds of experiencing long sleep (aOR: 1.34, 95% CI: 1.20-1.50, p < 0.001) and more than 2.5 fold increased odds of reporting poor sleep quality (aOR:2.57, 95% CI: 2.40-2.78; p<0.0001). In the multivariate analysis, all variables (sex, race/ethnicity, education, health insurance coverage, marital status, general health status and use of sleep medications, smoking and alcohol use status) were significantly predictors of poor sleep quality, with the exceptions of age and family income. The findings emphasize the need to address sleep health in treating depression, especially during times of public health crises.

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia.

In Malaysia, a nationwide movement control order (MCO), implemented to curb the COVID-19 spread, impacted on the lives of the working population which could impair sleep quality. This study aims to find the sleep quality status and its association with the socioeconomic, employment and lifestyle factors of working adults during the MCO period. A cross-sectional study was conducted among 500 eligible working adults. Data were collected using a structured questionnaire consisting of the Pittsburg Sleep Quality Index. The proportion of poor sleep quality is found to be 59.4%. Analysis shows that the use of electronic devices before sleep (OR=2.33, 95% CI=1.02-5.35, p-value=0.046), increased amount of workload (OR=0.45, p-value=0.005), decreased in amount of workload (OR=0.48, p-value=0.003) and distracted while working (OR=0.57, p-value=0.014) are the factors significantly associated with and are predictors of poor sleep quality. During crisis, there is a need for public health interventions for the working population to adopt a healthy lifestyle. Employers are recommended to support employees' well-being and to provide a healthy workplace during challenging times. Policy recommendations are also made to implement flexible working arrangements, workload management, workplace mental health support and legal protections on reasonable working hours, rest breaks and time off during crises.

Sleep quality in individuals with post-COVID-19 condition: Relation with emotional, cognitive and functional variables

The study aimed to assess sleep quality in PCC patients and its predictors by analysing its relationship with emotional, cognitive and functional variables, as well as possible differences based on COVID-19 severity. We included 368 individuals with PCC and 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575). We assessed sleep quality (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive Assessment, MoCA), everyday memory failures (Memory Failures of Everyday Questionnaire, MFE-30), fatigue (Chadler Fatigue Questionnaire, CFQ), quality of life (European Quality of Life-5 Dimensions, EQ-5D), and physical activity levels (International Physical Activity Questionnaire, IPAQ). 203 were nonhospitalized, 83 were hospitalized and 82 were admitted to the intensive care unit (ICU). We found statistically significant differences in the PSQI total score between the PCC and HC groups (p < 0.0001), but there were no differences among the PCC groups. In the multiple linear regressions, the PHQ-9 score was a predictor of poor sleep quality for mild PCC patients (p = 0.003); GAD-7 (p = 0.032) and EQ-5D (p = 0.011) scores were predictors of poor sleep quality in the hospitalized PCC group; and GAD-7 (p = 0.045) and IPAQ (p = 0.005) scores were predictors of poor sleep quality in the group of ICU-PCC. These results indicate that worse sleep quality is related to higher levels of depression and anxiety, worse quality of life and less physical activity. Therapeutic strategies should focus on these factors to have a positive impact on the quality of sleep.

The prevalence and predictors of poor sleep quality and excessive daytime sleepiness in epilepsy: A single tertiary centre experience in Malaysia

Background and objectivePeople with epilepsy frequently encounter sleep disruptions that can stem from a variety of complex factors. Epilepsy-related sleep disturbance can lead to reduced quality of life and excessive daytime hypersomnolence. Identification of sleep disturbances may help in the overall management of epilepsy patients. This study was conducted to determine the prevalence and predictors of poor sleep quality and daytime sleepiness in epilepsy. MethodsA cross-sectional study on 284 epilepsy patients was performed in a local tertiary centre. The demographic and clinical epilepsy data were collected. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires were utilised to determine the quality of life and daytime hypersomnolence of epilepsy patients, respectively. ResultsPoor sleep quality was reported in 78 (27.5%) patients while daytime hypersomnolence was present in 17 (6%) patients. The predictors of poor sleep quality include structural causes (OR = 2.749; 95% CI: 1.436, 5.264, p = 0.002), generalised seizures (OR = 1.959, 95% CI: 1.04, 3.689, p = 0.037), and antiseizure medications such as Carbamazepine (OR = 2.34; 95% CI: 1.095, 5.001, p = 0.028) and Topiramate (OR 2.487; 95% CI: 1.028, 6.014, p = 0.043). Females are 3.797 times more likely score higher in ESS assessment (OR 3.797; 95% CI: 1.064, 13.555 p = 0.04). DiscussionSleep disturbances frequently coexist with epilepsy. Patients should be actively evaluated using the PSQI and ESS questionnaires. It is imperative to identify the key factors that lead to reduced sleep quality and heightened daytime sleepiness in patients with epilepsy, as this is essential to properly manage their condition.

Depression as a predictor of sleep quality in health workers who faced the COVID-19 pandemic in Mexico

Introduction: There is a relationship between depression and sleep quality; however, the impact of the COVID-19 pandemic on this association is unknown, especially for those health workers who faced the pandemic. Therefore, we aimed to identify the association between depression and sleep quality in health workers who faced the COVID-19 pandemic. Methods: A survey was performed on 150 health workers with at least 2 years of working tenure in a public maternal perinatal hospital in Mexico, between September and December 2021. Sociodemographic data, levels of sleep quality, depression, anxiety, and gastrointestinal function were obtained through a self-administered questionnaire. Cardiovascular risk was obtained according to age, lifestyle habits, blood pressure, anthropometry, body composition and biochemical measurements. Results: Those with depression were 10.3 times more likely to have poor sleep quality compared to those without depression, adjusted for gastrointestinal function (95% CI 2.92 – 36.54, p&lt;0.001). Those with depression were 7.23 times more likely to have poor sleep quality compared to those without depression, adjusted for gastrointestinal function, anxiety, and cardiovascular risk (95% CI 1.85-28.14, p&lt;0.001). Conclusion: Health workers’ depression should be considered a predictor of poor sleep quality, especially in those who faced the COVID-19 pandemic.