Sleep quality and its association with psychological distress and sleep hygiene: a cross-sectional study among pre-clinical medical students

The prevalence of sleep disturbance and its possible associated factors among iranian medical students: A cross-sectional study with a national meta-analysis

Background

The aim of this cross-sectional study was to investigate the prevalence of sleep disturbance and its possible associated factors among Iranian medical students. Additionally, a national meta-analysis was conducted to provide a comprehensive overview of sleep disturbance in this population.

Methods

A sample of medical students from Guilan University of Medical Sciences, Iran was included in the study. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbance. Demographic and lifestyle factors, as well as academic performance, were collected through a self-administered questionnaire. The data collected from this study were combined with existing studies through a meta-analysis to estimate the overall prevalence of sleep disturbance among Iranian medical students using the random effects model.

Results

A total of 249 medical students participated in the study. The prevalence of sleep disturbance among Guilan University of Medical Sciences medical students was found to be 71.1%. A significant difference was observed in total PSQI means regarding medical students' residency (p < 0.001) and their duration of sleep in the last 24 h (p = 0.006). The national prevalence of sleep disturbances was 59% (95% CI: [51%-66%], I2 = 97%).

Conclusion

Sleep disturbance is highly prevalent among Iranian medical students, with various factors contributing to its occurrence. The findings of this study highlight the need for interventions and strategies to improve sleep quality and overall well-being among this population. The national meta-analysis provides valuable insights into the overall burden of sleep disturbance among Iranian medical students and can serve as a reference for future studies and public health initiatives targeting this issue.

Prevalence of Depression and Generalized Anxiety Among LGBTQ+ Medical Students in Thailand

This study evaluated the prevalence and associated factors of depression and generalized anxiety among LGBTQ+ in five medical schools in Thailand. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to assess major depressive disorder (MDD) and generalized anxiety disorder (GAD), respectively, and multivariable logistic regression was employed to identify associated factors. Of 1,322 students, 412 (31.16%) identified as LGBTQ+. The prevalence for MDD and GAD among LGBTQ+ students were 32.77% and 17.23%, respectively. Significant associated factors for both MDD and GAD were a history of psychiatric illness (AOR for MDD = 2.32, p = .020; AOR for GAD = 3.67, p < .001), educational problems (AOR for MDD = 6.62, p < .001; AOR for GAD = 5.12, p < .001), and dissatisfaction with gender identity or sexual orientation (AOR for MDD = 1.92, p = .019; AOR for GAD = 2.47, p = .005). Additional factors associated with MDD were preclinical years (AOR = 2.30, p = .023), financial struggles (AOR = 2.05, p = .021), and inadequate peer support (AOR = 2.57, p = .044). In conclusion, nearly one-third and one-fifth of Thai LGBTQ+ medical students suffer from MDD and GAD, respectively. Our findings suggest that Thai medical schools should promote LGBTQ+ inclusivity to enhance students' identity satisfaction. Peer support groups should be encouraged, especially for preclinical LGBTQ+ students who face educational and financial challenges.

The prevalence of depression, anxiety, and sleep disturbances among medical students and resident physicians in Iran: A systematic review and meta-analysis

BACKGROUND

We sought to conduct this comprehensive systematic review and meta-analysis to assess the prevalence of depression, anxiety, and sleep disturbance in Iranian medical students and resident physicians.

METHODS

A systematic search was conducted on 23 December 2023 in PubMed/MEDLINE, Web of Science, Scopus, and Iranian national databases. We pooled the prevalence of individual studies using the random effect model.

RESULTS

Our systematic search showed 36 articles that meet the eligibility criteria. Most included studies were cross-sectional. The most used questionnaire to assess depression, anxiety, and sleep disturbance were Beck Depression Inventory (BDI), The Depression, Anxiety and Stress Scale-21 Items (DASS-21), and The Pittsburgh Sleep Quality Index (PSQI), respectively. The overall prevalence of depression, anxiety, and sleep disturbance among Iranian medical students were 43% (95%CI: 33%-53%%, I2 = 98%), 44% (95%CI: 31%-58%%, I2 = 99%), 48% (95%CI: 39%-56%%, I2 = 97%), respectively. The results of subgroup and meta-regression analyses showed questionnaires used and the place of the medical school were significantly associated with the prevalence of aforementioned outcomes. Funnel plot and Begg's regression test did not show a significant source of funnel plot asymmetry for depression, anxiety, and sleep disturbance.

CONCLUSION

In conclusion, our study showed that nearly half of the medical students had some type of depression, anxiety, and sleep disturbance problems. To address this serious national public health issue, efficient preventive measures, routine screenings, and prompt interventions are required.

The differing relationships between academic discipline, sleep hygiene, and dysfunctional sleep attitudes on sleep quality and duration in Canadian university students

Objectives

This study sought to understand how university student's academic discipline relates to sleep factors including attitudes, hygiene, quality, and duration.

Methods

Using a cross-sectional approach, a 30-min survey was advertised to students at two Canadian universities in March of 2022. Sleep measures included the Dysfunctional Beliefs and Attitudes Scale, the Sleep Hygiene Index, the Pittsburgh Sleep Quality Index, and the Insomnia Severity Index. Academic discipline was categorized into four groups: Health, Arts, Sciences, and Engineering. Multiple linear regressions were used to investigate (1) the effect of academic discipline on sleep measures, and (2) the effect of academic discipline, dysfunctional sleep attitudes, and sleep hygiene practices on insomnia, sleep quality and duration.

Results

1,566 students completed the survey (69.4% women; 80.3% undergraduates). Compared to Health students, Art students had worse dysfunctional sleep attitudes, hygiene, quality, and insomnia severity (p < 0.001). This relationship disappeared after controlling for differences in mental health (p ≥ 0.05). Art students had longer sleep durations (p < 0.01), whereas Engineering students had shorter sleep durations (p < 0.05). When dysfunctional sleep attitudes and hygiene were included in the model, both academic discipline (p < 0.05) and sleep hygiene (p < 0.001) were associated with sleep duration. Sleep hygiene and attitudes were also associated with sleep quality and insomnia severity (p < 0.001), while academic discipline was not (p ≥ 0.05).

Discussion

These results suggest differences in sleep quality across academic discipline are impacted by dysfunctional sleep attitudes, sleep hygiene, and mental health, whereas differences in sleep duration appear to be independent of these factors. Overall, students in different academic disciplines have unique relationships with sleep and thus may require targeted approaches to improve their sleep. Future interventions should focus on supporting sleep hygiene and attitudes to improve students' sleep and well-being.

Mechanisms underlying the associations between different types of nature exposure and sleep duration: An 18-country analysis

Whilst green space has been linked to healthier sleep outcomes, the roles of specific types of nature exposure, potential underlying mechanisms, and between-country variations in nature-sleep associations have received little attention. Drawing on cross-sectional survey data from an 18-country sample of adults (N = 16,077) the current study examined: 1) the relative associations between six different types of nature exposure (streetscape greenery, blue view from home, green space within 1 km, coast within 1 km, green space visits, blue space visits) and insufficient sleep (<6 h vs. 7-10 h per day); 2) whether these relationships were mediated by better mental wellbeing and/or physical activity; and 3) the consistency of these pathways among the different countries. After controlling for covariates, neighbourhood nature measures (green space, coast within 1 km) were not significantly associated with insufficient sleep; but nature visible from home (streetscape greenery, blue views) and recreational visits to green and blue spaces were each associated with less insufficient sleep. Significant nature-sleep associations were mediated, to varying degrees, by better mental wellbeing, but not self-reported physical activity. Country-level heterogeneity in the strength of nature-sleep associations was observed. Increasing nature visible from the home may represent a promising strategy for promoting healthier sleep duration at the population level, whilst nature-based interventions encouraging individuals to spend time in local green/blue spaces may be an appropriate target to assist individuals affected by insufficient sleep.

Validating Constructs of the Depression, Anxiety, and Stress Scale-21 and Exploring Health Indicators to Predict the Psychological Outcomes of Students Enrolled in the Pacific Islands Cohort of College Students

The Depression, Anxiety, and Stress Scale-21 (DASS-21) has been used in various countries to assess the mental states of individuals. The objectives of this study were to validate the DASS-21 for use in Guam, an island that endures a high burden of mental health challenges, such as suicide, and examine the predictive impact of selected health indicators on DASS-21 variables. Three years of data (2017-2019) were pooled from the Pacific Islands Cohort of College Students (PICCS) study conducted annually at the University of Guam. In total, 726 students were included in the secondary data analysis. MPlus statistical software was used to perform a confirmatory factor analysis (CFA) for the validation and structural equation modeling (SEM) for the predictive modeling. The results from the CFA suggested an acceptable model fit (RMSEA: 0.073, CFI: 0.901, TLI: 0.889, RMR: 0.044), while SEM suggested that sleep quality and physical activity were significant predictors of DASS-21 variables. Therefore, the DASS-21 is a valid instrument for measuring depression, anxiety, and stress among emerging adults in Guam.

The mediating and moderating effects of resilience on the relationship between sleep quality and psychological distress in Chinese women with infertility

BACKGROUND

Research has widely indicated that the psychological distress experienced by infertile patients during fertility treatments may have a negative effect on the results of assisted reproduction. Although numerous studies have shown that psychological resilience and sleep quality are important influencing factors for psychological distress, the mediating mechanisms of psychological resilience in the relationship between sleep quality and psychological distress for Chinese women in particular remain unclear. Therefore, the current study investigates the association between sleep quality, resilience, and psychological distress in Chinese women with infertility and examines the mediating and moderating roles of resilience on the relationship between sleep quality and psychological distress.

METHODS

In this cross-sectional study, a total of 595 women with infertility who were undergoing IVF-ET were recruited at the Reproductive Medicine, Shandong University, from April to November 2019. Participants were instructed to complete four questionnaires, including a questionnaire about socio-demographic and clinical-related information, the Pittsburgh Sleep Quality Index (PSQI), the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), and the Kessler-10 (K10). Pearson's correlation analysis was conducted preliminarily to describe the relationships between sleep quality, resilience, and psychological distress. A mediation model and a moderated model were constructed and analyzed using the PROCESS macro for SPSS. The Johnson-Neyman (J-N) technique was then used to identify the regions of significance across the levels of moderator values.

RESULTS

Patients in the sample had a high prevalence of psychological distress (48.6%, K10 scores > 22), and mediation analysis indicated that resilience played a partially mediating role in the relationship between sleep quality and psychological distress (indict effect = 0.072, P < 0.001). Moderation analysis indicated that resilience also moderated the association between sleep quality and psychological distress.

CONCLUSIONS

Resilience may play a key role in the relationship between sleep quality and psychological distress. Our findings imply that resilience training may therefore be an effective component of psychological distress intervention in women with infertility.

Sleep behaviors predicted sleep disturbances among Chinese health science students: a cross-sectional study

PURPOSE

Healthy sleep is essential for individuals' physiological and psychological health. Health science students experience a high prevalence of sleep disturbances which may be due to maladaptive behaviors. This study aimed to examine the associations of sleep behaviors including sleep hygiene and bedtime procrastination with the associations of sleep disturbances (e.g., poor sleep quality, insomnia, and short sleep).

METHODS

This cross-sectional study included health science students from a medical university in Shanghai, China. Sleep disturbances included poor sleep quality, insomnia, and short sleep. They were measured by the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and one question "How many hours of sleep did you usually get during the past week?", respectively. Sleep behaviors included sleep hygiene and bedtime procrastination measured by the Sleep Hygiene Index (SHI) and Bedtime Procrastination Scale (BPS), respectively. Logistic regression was performed while controlling for potential confounders.

RESULTS

A total of 464 health science students participated. Poorer overall sleep hygiene and more bedtime procrastination were independently associated with higher odds of poor sleep quality (OR=1.065, 95% CI 1.028-1.103; OR=1.040, 95% CI 1.006-1.075, respectively) and insomnia (OR=1.059, 95% CI 1.018-1.101; OR=1.093, 95% CI 1.049-1.139, respectively). More bedtime procrastination was associated with higher odds of short sleep (OR=1.148, 95% CI 1.093-1.206). Commonly reported specific sleep behaviors, such as "Going to bed later than intended", "Doing other things than sleep at bedtime", and "Easily stopping what I am doing at bedtime", were also related to higher odds of sleep disturbances.

CONCLUSIONS

Sleep hygiene and bedtime procrastination were strong predictors of sleep disturbances. Tailored interventions targeting specific sleep behaviors are warranted to clarify their effect on sleep disturbances.

Genetics of sleep medication purchases suggests causality from sleep problems to psychiatric traits

STUDY OBJECTIVES

Over 10% of the population in Europe and in the United States use sleep medication to manage sleep problems. Our objective was to elucidate genetic risk factors and clinical correlates that contribute to sleep medication purchase and estimate the comorbid impact of sleep problems.

METHODS

We performed epidemiological analysis for psychiatric diagnoses, and genetic association studies of sleep medication purchase in 797 714 individuals from FinnGen Release 7 (N = 311 892) and from the UK Biobank (N = 485 822). Post-association analyses included genetic correlation, co-localization, Mendelian randomization (MR), and polygenic risk estimation.

RESULTS

In a GWAS we identified 27 genetic loci significantly associated with sleep medication, located in genes associated with sleep; AUTS2, CACNA1C, MEIS1, KIRREL3, PAX8, GABRA2, psychiatric traits; CACNA1C, HIST1H2BD, NUDT12. TOPAZ1 and TSNARE1. Co-localization and expression analysis emphasized effects on the KPNA2, GABRA2, and CACNA1C expression in the brain. Sleep medications use was epidemiologically related to psychiatric traits in FinnGen (OR [95% (CI)] = 3.86 [3.78 to 3.94], p < 2 × 10-16), and the association was accentuated by genetic correlation and MR; depression (rg = 0.55 (0.027), p = 2.86 × 10-89, p MR = 4.5 × 10-5), schizophrenia (rg = 0.25 (0.026), p = 2.52 × 10-21, p MR = 2 × 10-4), and anxiety (rg = 0.44 (0.047), p = 2.88 × 10-27, p MR = 8.6 × 10-12).

CONCLUSIONS

These results demonstrate the genetics behind sleep problems and the association between sleep problems and psychiatric traits. Our results highlight the scientific basis for sleep management in treating the impact of psychiatric diseases.

Insomnia and Migraine: A Missed Call?

Migraine is one of the most prevalent and disabling neurological conditions, presenting episodes of throbbing headache that limit activities of daily living. Several factors may influence migraine frequency, such as lifestyle or alcohol consumption. Among the most recognised ones, sleep plays a biunivocal role, since poor sleep quality may worsen migraine frequency, and a high migraine frequency may affect sleep quality. In this paper, the authors evaluate the relationship between migraine and insomnia by exploring a cohort of patients affected by episodic or chronic migraine. To do so, a phone interview was performed, asking patients about their migraine frequency and mean pain intensity, in addition to the questions of the Insomnia Severity Index. The last one explores several symptoms impairing sleep that focus on insomnia. Patients complaining of insomnia showed an increased migraine frequency, and a weak but significant correlation was found between headache days per month and insomnia scores. Such results were particularly evident in patients affected by chronic migraine. Such results suggest how insomnia, in the presented data, seems to be associated with migraine frequency but not with pain intensity.

Sleep hygiene behaviours mediate the association between health/e-health literacy and mental wellbeing

BACKGROUND

Health literacy and e-health literacy are important factors helping people shape awareness of health behaviours in different aspects, including sleep hygiene behaviours. Good sleep hygiene behaviours promote sleep quality and are beneficial to overall mental wellbeing.

OBJECTIVE

We aimed to examine if sleep hygiene behaviours may mediate the association between health literacy/e-health literacy and mental wellbeing.

METHODS

Adult Iranian subjects (n = 9775; mean [SD] age = 36.44 [11.97] years; 67.3% females) completed the Health Literacy Instrument for Adults, eHealth Literacy Scale, three items on sleep hygiene behaviour that have been used in prior research and the Short Warwick Edinburgh Mental Wellbeing Scale. Data were then subjected to structural equation modelling (SEM) including 500 bootstrapping resampling to examine whether sleep hygiene is a mediator in the relationship between health literacy/e-health literacy and mental wellbeing.

FINDINGS

Both health literacy and e-health literacy were significantly associated with mental wellbeing (r = .63 for health literacy and .39 for e-health literacy; p < .001) and sleep hygiene behaviours (r = .58 for health literacy and .36 for e-health literacy; p < .001). Sleep hygiene behaviours were significantly associated with mental wellbeing (r = .42; p < .001). Moreover, SEM that incorporated bootstrapping approaches indicated that sleep hygiene behaviours were significant mediators in the association between health literacy/e-health literacy and mental wellbeing.

CONCLUSIONS

We conclude that health literacy and e-health literacy are associated with mental health wellbeing in the Iranian population. Additionally, the association could be mediated via sleep hygiene behaviours.

PATIENT OR PUBLIC CONTRIBUTION

The study was co-designed with healthcare providers from the vice-Chancellor's Office for Health Affairs of Qazvin University of Medical Sciences as equal partners. Moreover, the women's health volunteers were involved in the design of the study.

Post-gastric Sleeve Surgery Chronic Symptoms From a Sample of Patients in Saudi Community

BACKGROUND

A common bariatric procedure known as gastric sleeve surgery can cause significant weight loss and co-morbid condition alleviation. However, patients could experience persistent problems such as gastrointestinal, musculoskeletal/neural, and psychiatric disorders after surgery. This study aims to identify the most prevalent chronic symptoms following sleeve gastrectomy among a sample of Saudi patients and the impact these symptoms have on patients' lives.

METHODOLOGY

Patients who underwent gastric sleeve surgery at the Ensan Clinic, a facility specializing in gastroenterology, were the subjects of this retrospective cohort analysis. The study population consisted of patients who underwent gastric sleeve surgery, showed up for follow-up after the procedure, and met the inclusion and exclusion criteria. The data collection sheet is divided into seven sections. Sociodemographic information was required in the first section, gastric sleeve surgery information in the second, vital signs in the third, lab results in the fourth, past medical history in the fifth, current treatments in the sixth, and postoperative complications and chronic symptoms in the seventh and final sections.

RESULTS

In 117 patients, the study evaluated the effects of gastric sleeve surgery. Participants had an average age of 40.21 years, and 61.5% were female. Regarding persistent symptoms after surgery, a sizable percentage of patients mentioned digestive issues such as GERD (44.4%), dyspepsia (60.7%), vomiting (23.1%), nausea (39.3%), and abdominal distention (45.3%). A total of 34.2% of patients reported experiencing anxiety, compared to 11.1% who said they had depression or 2.6% who said they had social issues. A few patients reported experiencing neurological or musculoskeletal issues, including exhaustion (7.7%), faintness (5.1%), back or joint discomfort (7.7%), and shortness of breath (8.5%).

CONCLUSION

After undergoing gastric sleeve surgery, a sizable proportion of patients complained of various chronic symptoms and nutritional inadequacies, primarily gastrointestinal problems and musculoskeletal/neurological issues. The study's findings show a connection between these symptoms and surgery.

Sleep Duration on Workdays Is Correlated with Subjective Workload and Subjective Impact of High Workload on Sleep in Young Healthy Adults

Psychosocial stress is widespread worldwide and particularly affects young adults. There is a close and bidirectional relationship between sleep quality and mental health. Sleep duration, which is an important feature of sleep quality, shows both intra-individual variations and inter-individual differences. Internal clocks control individual sleep timing, which, in turn, defines the chronotype. On workdays, however, the end and duration of sleep are largely limited by external factors, such as alarm clocks, especially in later chronotypes. The aim of this study is to investigate whether there is a relationship between sleep timing and duration on workdays and measures for psychosocial stress, such as anxiety and depression; subjective workload; and the subjective impact of a high workload on sleep. We used a combination of Fitbit wearable actigraphy data and a questionnaire survey of young, healthy medical students and calculated correlations between the respective variables. We found that a shorter sleep duration on workdays is associated with a higher subjective workload and a higher subjective impact of a high workload on sleep, which, in turn, are associated with higher measures of anxiety and depression. Our study contributes to understanding the importance of sleep timing/duration and their regularity on weekdays for subjectively perceived psychosocial stress.

Sleep and Lifestyle Habits of Medical and Non-Medical Students during the COVID-19 Lockdown

It has been shown that the measures of social distancing and lockdown might have had negative effects on the physical and mental health of the population. We aim to investigate the sleep and lifestyle habits as well as the mood of Croatian medical (MS) and non-medical students (NMS) during the COVID-19 lockdown. The cross-sectional study included 1163 students (21.6% male), whose lifestyle and sleep habits and mood before and during the lockdown were assessed with an online questionnaire. The shift towards later bedtimes was more pronounced among NMS (~65 min) compared to MS (~38 min), while the shift toward later wake-up times was similar in both MS (~111 min) and NMS (~112 min). All students reported more frequent difficulty in falling asleep, night-time awakenings and insomnia (p < 0.001) during lockdown. A higher proportion of MS reported being less tired and less anxious during lockdown compared to pre-lockdown (p < 0.001). Both student groups experienced unpleasant moods and were less content during lockdown compared to the pre-lockdown period (p < 0.001). Our results emphasize the need for the promotion of healthy habits in the youth population. However, the co-appearance of prolonged and delayed sleep times along with decreased tiredness and anxiety among MS during lockdown reveals their significant workload during pre-lockdown and that even subtle changes in their day schedule might contribute to the well-being of MS.

Smartphone addiction and psychological distress among Vietnamese college students: cyber-victimization as a mediator and academic stress as a moderator

Purpose

The purpose of this paper is to examine the mediating effect of cyber-victimization (CV) and the moderating effect of academic stress (AS) in the link between smartphone addiction (SPA) and psychological distress (PD) among a sample of Vietnamese college students.

Design/methodology/approach

A total of 423 college students participated in this study. Measures of SPA, CV, AS and PD were used for data collection. Using PROCESS macro software (Model 4 and Model 1) and the bootstrapping method, the author performed a mediation analysis and a moderation analysis.

Findings

Results indicated a significant mediating effect of CV in the link between SPA and PD. Moreover, this relationship was moderated by AS.

Originality/value

The findings could serve as a guide for future research and mental health professionals.

More Competition in Mind, Better Sleep at Night? The Mediating Role of Anxiety between Competitive Attitude and Sleep Quality

Previous studies have suggested that individuals with hypercompetitive attitude and interpersonal insecurity would have a high level of anxiety, and anxiety has been found to strongly impact on sleep quality. However, the associations between competitive attitudes and sleep quality have not been studied until now. The present study aimed to examine whether anxiety mediates the relationship between competitive attitudes and interpersonal relationships with sleep quality. This was a cross-sectional study with a total of 713 college students (age = 20.18 ± 2.16 years old; 78.8% female) recruited online to measure hypercompetitive attitude, personal development competitive attitude, interpersonal security, state anxiety and sleep quality. Path analysis models were conducted in this study. The path analysis models showed that both hypercompetitive attitude and interpersonal security had direct and indirect significant effects on poor sleep quality due to the mediating effect of state anxiety (β = 0.023, 95% bootstrapped CI: 0.005 to 0.047; β = -0.051, 95% bootstrapped CI: -0.099 to -0.010, respectively). However, personal development competitive attitude had only an indirect significant effect, but it had a negative role on poor sleep quality via state anxiety (β = -0.021, 95% bootstrapped CI: -0.042 to -0.008). The current study provided evidence that college students' competitive attitudes would impact sleep quality and highlighted the mediating role of state anxiety. The current findings suggested that individuals shifting their hypercompetitive thinking to concentrate on ability development would benefit their mental health.

The link among academic stress, sleep disturbances, depressive symptoms, academic performance, and the moderating role of resourcefulness in health professions students during COVID-19 pandemic

Background

The rapid shift to virtual learning in response to the COVID-19 pandemic contributed to high academic stress among health profession students. High academic stress was associated with impaired psychosocial well-being and decreased academic performance.

Objectives

The purpose of this study was to assess the relationship between academic stress, anxiety, sleep disturbances, depressive symptoms, academic performance, and the moderating effect of resourcefulness among undergraduate health profession students.

Methods

This descriptive and cross-sectional study included undergraduate health profession students. The primary investigator distributed the study link to all students through the university's Central Messaging Centre, Twitter account, and WhatsApp. The study variables were measured using the Student Life Stress Inventory, the Generalized Anxiety Disorder-7 questionnaire, the Centre for Epidemiology Scale of Depression, the Pittsburgh Sleep Quality Index, and the Resourcefulness Skills Scale. Pearson R correlation and linear regression analysis were utilized for statistical analysis.

Results

Our sample included 94 undergraduate health profession students, 60 % of which were females with a mean age of 21, and the majority were nursing and medicine students. High academic stress, anxiety, sleep disturbances, depressive symptoms, and resourcefulness were reported among 50.6 %, 43 %, 79.6 %, 60.2 %, and 60 % of the participants, respectively. However, no effect of resourcefulness was found on any of the study variables. Instead, academic stress and sleep disturbances were the strongest predictors of depressive symptoms regardless of the level of resourcefulness.

Conclusion

Adequate academic support during virtual learning and tools to early detect subtle signs of high academic stress, anxiety, depression, and sleep disturbance should be routinely utilized by educational institutions. In addition, incorporating sleep hygiene and resourcefulness training in health professions education is highly indicated.

The impact of the coronavirus disease 2019 pandemic on abortion access and pre-abortion mental health in Shanghai

OBJECTIVE

To understand the barriers to abortion in Shanghai during the COVID-19 pandemic, and to compare pre-abortion mental health status before and during the crisis.

METHODS

In this case-control study, two groups of women seeking abortion (age ≥18 years, pregnancy duration <98 days) were recruited from March to September, 2021 (n = 1070) and from February to April 2022 (n = 625). The evaluation included COVID-19-related abortion stress questions, the Symptom Checklist-90 Revised questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Family Environment Scale Chinese version. The researchers conducted interviews and collected questionnaires.

RESULTS

The median pregnancy duration at abortion among women during the pandemic was 65 days, compared with 51 days in the pre-pandemic group (P < 0.001). Anxiety and depression symptoms increased during the crisis (P < 0.001). Sleep disturbances were more common. Higher PSQI scores were related to increased anxiety and depression symptoms. A more negative family climate was described during the pandemic.

CONCLUSION

During the COVID-19 pandemic, abortion access was delayed and pre-abortion mental disorders increased. More attention should be paid to the mental health of women seeking abortions, and innovations should be promoted to ensure abortion services without delay.

24-hour urinary potassium excretion is negatively associated with self-reported sleep quality in the general population, independently of sleep-disordered breathing

STUDY OBJECTIVES

To investigate the association of 24-hour urinary potassium excretion with self-reported sleep quality in the general population.

METHODS

In this cross-sectional study, a population of patients aged 18 years or older was randomly selected from Xinjiang, China in 2019, 24-hour urine samples collected, and Pittsburgh Sleep Quality Index (PSQI) questionnaires assessed. Participants were divided into 2 groups (upper and lower median of 24-hour urinary potassium excretion). Poor sleep quality was defined as PSQI global score ≥ 6. Associations between 24-hour urinary potassium excretion and [24.8 mmol/L] sleep quality were assessed by multiple logistic regression analysis in total participants and those stratified by sex.

RESULTS

In total, 24-hour urine samples were collected from 1,147 participants, of whom data for those with complete urine samples and PSQI data were analyzed (n = 727; mean age = 48.7 years; percentage of women = 62%). Compared with the upper median group for 24-hour urinary potassium excretion, the lower median group showed a significantly higher PSQI global score (6 vs 5, P = .011), and prevalence of poor sleep quality (51.7% vs 42.2%, P = .011). In a fully-adjusted model of multivariate logistic regression, the lower median group showed 1.50-fold increased odds for presence of poor sleep quality (95% confidence interval: 1.01-2.24, P = .045). Sex-specific analyses translated these results to women, but not to men.

CONCLUSIONS

These results suggest that low potassium intake, indicated by lower potassium excretion, is associated with poor sleep quality in the general population, especially among women. Therefore, additional research is necessary to clarify the effect of increasing potassium intake to improve sleep quality.

CITATION

Li M, Heizhati M, Wang L, et al. 24-hour urinary potassium excretion is negatively associated with self-reported sleep quality in the general population, independently of sleep-disordered breathing. J Clin Sleep Med. 2022;18(11):2589-2596.

Screening for depressive symptoms in patients with rheumatoid arthritis: relationship with pain severity, disease activity, and sleep quality

Background

Rheumatoid arthritis (RA) is an autoimmune systemic condition that primarily affects all synovial joints, eventually leading to deformity and clinical disability. Much progress has been made in the evaluation of inflammation and disease activity in recent years; however, other factors that can influence these patients’ quality of life, including depression, stress, fatigue, sleep problems, fibromyalgia, sexual activity, and obesity, are often not evaluated by rheumatologists. Our purpose was to explore depressive symptoms in patients with RA and determine how they connected to other aspects of the disease, including pain severity, disease activity, and sleep quality.

Results

A cross-sectional study including 1200 patients with RA was performed. Paints with RA were classified into two groups based on the presence or absence of depressive symptoms using the Beck Depression Inventory-II (BDI-II). Group 1 included patients with both RA and depressive symptoms of varying severity; group 2 included patients with RA but without depressive symptoms. The patients underwent clinical evaluation and application of the Pittsburgh Sleep Quality Index (PSQI), Health Assessment Questionnaire for pain (HAQ-pain), and the Multidimensional Assessment of Fatigue scale (MAF). RA disease activity was evaluated using the DAS28 score. Depressive symptoms of varying severity were prevalent in 96% of our patients with RA, of whom 43.3% had minimal depression, while 13.7% had severe depression. The RA group with depression had a longer duration of disease, prolonged morning stiffness, and high disease activity measured by the DAS28 score than patients with only RA. In RA patients with concomitant depression, pain, sleep, and fatigue scores were also worse.

Conclusions

The presence of depression among patients with RA was associated with worse DAS28, HAQ, PASQI, and fatigue scores. Screening and recognition of such psychosocial disorders may help patients achieve optimal disease control and a good outcome.

Investigating Internet Addiction and Sleep Quality Correlation Among Students of Isfahan University of Medical Sciences in 2021

Background: The quality of sleep plays an important role in physical development, as well as maintaining physical and mental health. Approximately 20% of Iranian students suffer from Internet addiction, and 56% suffer from insomnia. Objectives: This study aimed to investigate the relevance of Internet addiction and sleep quality among Isfahan University of medical sciences students. Methods: This cross-sectional study was conducted as a questionnaire at the Medical Sciences University of Isfahan. The collected data had three components: (1) Demographic information, (2) sleep quality with the Pittsburgh Sleep Quality Index (PSQI), and (3) amount of internet use with a questionnaire of 20 Internet Addiction Tests (IAT). Logistic regression was used to find any association between Internet Addiction and Sleep quality. Results: A total of 562 female and male students participated in the study, with a mean age of 21.41 ± 1.87. Internet users with moderate and mild addiction had poorer sleep quality than those with normal and severe Internet addiction. Logistic regression analysis showed an association between Internet addiction scores and sleep quality (OR = 1.035: 1.02, 1.04, P < 0.001). In addition, poor sleep quality was also predicted by the subgroups "excessive internet use" and "anticipation". Conclusions: The relationship between internet addiction and sleep quality was significantly negative. Universities and all educational institutions can use it to control the effects of Internet abuse and the quality of sleep of students.

Mental distress among university students in the Eastern Cape Province, South Africa

Introduction

Mental distress is a global health concern. Studies show that the prevalence of mental distress is higher in students’ population than in the general population. Therefore, there is need to understand the extent and factors associated with mental distress among students to help policymakers and practitioners in South Africa.

Aim of the study

The study was designed to investigate into the prevalence and factors associated with mental distress among students at universities in the Eastern Cape Province, South Africa.

Methods

A cross-sectional study was conducted among students from four universities in the Eastern Cape Province. The data were collected from 844 students using an online self-reporting questionnaire-20 to assess mental distress of students. Multivariable logistic regression modelling determined the association between socio-demographic and psychosocial factors with students’ mental distress.

Findings

The prevalence of mental distress among students was 53.3% (95% CI 47.0%, 58.1%). Female students were more prone to mental distress than male students ([AOR]: 4.67; 95% CI 2.82, 7.72, P = 0.001). Field of study ([AOR]: 3.9; 95% CI 1.74, 5.50, P = 0.010), year of study ([AOR]: 4.29; 95% CI 0.86, 21.46, P = 0.002), academic workload ([AOR]: 4.66; 95% CI 2.81, 7.71, P = 0.003), poor sleep quality ([AOR]: 2.24; 95% CI 1.13, 3.67, P = 0.010) and using cannabis ([AOR]: 3.10; 95% CI 1.755, 5.51, P = 0.020) were other factors significantly correlated with students’ mental distress.

Conclusions and recommendations

The study found the level of mental distress to be higher among students than what is reported in most of the previous studies on the student population in South Africa. Being a female student, a user of cannabis, and field of study, academic workload and having poor sleep quality were predictors of mental distress. Findings point to the need to devise evidence-driven interventions and strategies to prevent and reduce the problem of mental distress among students.

The association of sleep patterns and depressive symptoms in medical students: a cross-sectional study

Objective

Mental health is a fundamental aspect in ensuring the stable and successful professional life of future physicians. Depressive symptoms can negatively affect the work-life-balance and efficiency at work of medical students.

To date, there have been very few studies involving medical students that examine the association between single sleep characteristics and the outcome of the Beck Depression Inventory-II score. Therefore, the aim of the present study is to investigate this possible association. A classroom survey using socio-demographic characteristics, the Beck Depression Inventory-II, and the Pittsburgh Sleep Quality Index was conducted amongst students at a German medical school from December 2017 to September 2018. Data analysis was performed with descriptive statistics and binary logistic regression.

Results

Of the students surveyed, 19% showed depressive symptoms with a Beck Depression Inventory-II score over 13 and 42% of these cases were moderate or severe. The occurrence of relevant depressive symptoms was associated with lower sleep quality, higher sleep latency, and the consumption of sleeping pills. In general, female students and students from abroad had a higher risk of depressive symptoms. Addressing these relevant findings in medical school can increase awareness of mental health.

ANXIETY DURING THE COVID-19 PANDEMIC: A WEB-BASED SURVEY OF THYROID CANCER SURVIVORS

Objective

Cancer patients and survivors may be disproportionately affected by COVID-19. We sought to determine the effects of the pandemic on thyroid cancer survivors’ health care interactions and quality of life.

Methods

An anonymous survey including questions about COVID-19 and the Patient-Reported Outcomes Measurement Information System profile (PROMIS-29, version 2.0) was hosted on the Thyroid Cancer Survivors’ Association, Inc website. PROMIS scores were compared to previously published data. Factors associated with greater anxiety were evaluated with univariable and multivariable logistic regression.

Results

From May 6, 2020, to October 8, 2020, 413 participants consented to take the survey; 378 (92%) met the inclusion criteria: diagnosed with thyroid cancer or noninvasive follicular neoplasm with papillary-like nuclear features, located within the United States, and completed all sections of the survey. The mean age was 53 years, 89% were women, and 74% had papillary thyroid cancer. Most respondents agreed/strongly agreed (83%) that their lives were very different during the COVID-19 pandemic, as were their interactions with doctors (79%). A minority (43%) were satisfied with the information from their doctor regarding COVID-19 changes. Compared to pre-COVID-19, PROMIS scores were higher for anxiety (57.8 vs 56.5; P < .05) and lower for the ability to participate in social activities (46.2 vs 48.1; P < .01), fatigue (55.8 vs 57.9; P < .01), and sleep disturbance (54.7 vs 56.1; P < .01). After adjusting for confounders, higher anxiety was associated with younger age (P < .01) and change in treatment plan (P = .04).

Conclusion

During the COVID-19 pandemic, thyroid cancer survivors reported increased anxiety compared to a pre-COVID cohort. To deliver comprehensive care, providers must better understand patient concerns and improve communication about potential changes to treatment plans.

Detailed analysis and comparison of different activity metrics

Actigraphic measurements are an important part of research in different disciplines, yet the procedure of determining activity values is unexpectedly not standardized in the literature. Although the measured raw acceleration signal can be diversely processed, and then the activity values can be calculated by different activity calculation methods, the documentations of them are generally incomplete or vary by manufacturer. These numerous activity metrics may require different types of preprocessing of the acceleration signal. For example, digital filtering of the acceleration signals can have various parameters; moreover, both the filter and the activity metrics can also be applied per axis or on the magnitudes of the acceleration vector. Level crossing-based activity metrics also depend on threshold level values, yet the determination of their exact values is unclear as well. Due to the serious inconsistency of determining activity values, we created a detailed and comprehensive comparison of the different available activity calculation procedures because, up to the present, it was lacking in the literature. We assessed the different methods by analysing the triaxial acceleration signals measured during a 10-day movement of 42 subjects. We calculated 148 different activity signals for each subject’s movement using the combinations of various types of preprocessing and 7 different activity metrics applied on both axial and magnitude data. We determined the strength of the linear relationship between the metrics by correlation analysis, while we also examined the effects of the preprocessing steps. Moreover, we established that the standard deviation of the data series can be used as an appropriate, adaptive and generalized threshold level for the level intersection-based metrics. On the basis of these results, our work also serves as a general guide on how to proceed if one wants to determine activity from the raw acceleration data. All of the analysed raw acceleration signals are also publicly available.

Effect of Electronic Device Addiction on Sleep Quality and Academic Performance Among Health Care Students: Cross-sectional Study

BACKGROUND

Sleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns.

OBJECTIVE

This study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia.

METHODS

A descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents-short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA).

RESULTS

The median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score >31 males and >33 females) was significantly associated with poor sleep quality (PSQI >5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (<4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA.

CONCLUSIONS

Electronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA.

Associations between family social circumstances and psychological distress among the university students of Bangladesh: To what extent do the lifestyle factors mediate?

BACKGROUND

While there is a growing body of empirical studies focusing on the social and behavioral predictors of psychological health, the mechanisms that may underlie the reported associations have not been adequately explored. This study aimed to examine the association of social and lifestyle factors with psychological distress, and the potential mediating role of the lifestyle factors in the estimated associations between social circumstances and psychological distress.

METHODS

A total of 742 tertiary level students (53% females) from a range of socio-economic backgrounds and multiple educational institutions participated in this cross-sectional study. The 12-items General Health Questionnaire (GHQ-12) was utilized for measuring psychological distress. Data related to students' socio-demographic characteristics, family social circumstances, and lifestyle factors were also collected. Modified Poisson regression analysis was used to estimate the risk ratios (RR) and their 95% confidence intervals (CI).

RESULTS

The multivariable regression analysis suggests heightened risks of psychological distress associated with low parental Socio-Economic Position (SEP) (RR: 1.36; 95% CI: 1.07, 1.76), childhood poverty (RR: 1.31; 95% CI: 1.11, 1.55), and living away from the family (RR: 1.28; 95% CI: 1.07, 1.54). Among the lifestyle factors, past smoking, physical inactivity, inadequate fruit intake, and poor sleep quality were strongly associated with psychological distress and these associations persisted when the family social circumstances and lifestyle factors were mutually adjusted for. The lifestyle factors did not considerably mediate the estimated associations between family social circumstances and psychological distress.

CONCLUSION

The social and lifestyle factors operated independently to increase students' risk of psychological distress. Accordingly, while promoting students' healthy lifestyles may reduce the overall burden of psychological distress, any equity initiative aiming to minimize the social inequalities in psychological health should be targeted to improving the living conditions in early life.

Cardiovascular and Pre-Frailty Risk Assessment during Shelter-In-Place Measures Based on Multimodal Biomarkers Collected from Smart Telemedical Wearables

Wearable devices play a growing role in healthcare applications and disease prevention. We conducted a retrospective study to assess cardiovascular and pre-frailty risk during the Covid-19 shelter-in-place measures on human activity patterns based on multimodal biomarkers collected from smartwatch sensors. For methodology validation we enrolled five adult participants (age range: 32 to 84 years; mean 57 ± 22.38; BMI: 27.80 ± 2.95 kg/m²) categorized by age who were smartwatch users and self-isolating at home during the Covid-19 pandemic. Resting heart rate, daily steps, and minutes asleep were recorded using smartwatch sensors. Overall, we created a dataset of 464 days of continuous measurement that included 50 days of self-isolation at home during the Covid-19 pandemic. Student’s t-test was used to determine significant differences between the pre-Covid-19 and Covid-19 periods. Our findings suggest that there was a significant decrease in the number of daily steps (−57.21%; −4321; 95% CI, 3722 to 4920) and resting heart rate (−4.81%; −3.04; 95% CI, 2.59 to 3.51) during the period of self−isolation compared to the time before lockdown. We found that there was a significant decrease in the number of minutes asleep (−13.48%; −57.91; 95% CI, 16.33 to 99.49) among older adults. Finally, cardiovascular and pre-frailty risk scores were calculated based on biomarkers and evaluated from the clinical perspective.

The relationship of sleep quality among internship nurses with clinical learning environment and mental stress: a cross-sectional survey

BACKGROUND

Previous evidence has supported an association between sleep quality and psychological stress. However, the association between internship nurses' sleep status and its relevant factors is poorly understood.

OBJECTIVE

The aim of this study was to investigate sleep quality and its related factors in clinical learning environment and mental stress.

METHODS

A cross-sectional survey was conducted by three instruments: Clinical Learning Environment, Supervision, and Nurse Teacher Evaluation Scale (CLES + T), Stress Rating Scale for practicing nurses (SRS) and Pittsburgh Sleep Quality Index (PSQI).

RESULTS

A total of 508 (91.86%) of 553 students experienced poor sleep quality. The structural equation model showed a correlation of the PSQI with the CLES + T (r = -0.21, p < 0.001), a correlation of the PSQI with the SRS (r = 0.32, p < 0.001), and a correlation of the SRS with the CLES + T (r = -0.22, p < 0.001). Linear regression analysis showed that education (B = -0.56, p < 0.001), willingness to engage in nursing after graduation (B = -0.75, p < 0.001), pedagogical atmosphere in the ward (B = -0.05, p < 0.001) measured by the CLES + T, workload (B = 0.11, p = 0.01), interpersonal relationships (B = -0.12, p = 0.03), and conflicts between study and work (B = 0.12, p < 0.001) on the SRS were significant factors influencing the PSQI.

CONCLUSIONS

Poor sleep quality is common among internship nurses and it's affected by clinical environment and mental stress. It's necessary to apply more tailored education programs to promote nursing development.

Beyond Rheumatoid Arthritis Evaluation: What are We Missing?

Rheumatoid Arthritis (RA) is a chronic inflammatory autoimmune systemic disease that preferentially affects small and large joints with a progressive course and can become deforming and disabling. In recent years, much progress has been made in the evaluation of inflammation and disease activity, however, there are other factors that have a high impact on the quality of life of these patients, such as depression, anxiety, fatigue, sleep disorders, suicidal behavior, fibromyalgia, sexual activity, sarcopenia, frailty, cachexia and obesity that are not always evaluated by rheumatologists. This review shows that the evaluation and timely detection of these aspects in patients with RA could interfere with the prognosis and improve their quality of life.

Dysfunctional beliefs, sleep hygiene and sleep quality in university students

ISSUE ADDRESSED

Poor sleep quality is common among university students and can have negative implications for physical, emotional, cognitive and academic wellbeing. Previous research has identified that sleep beliefs and sleep behaviours are associated with poor sleep quality. However, few studies have examined these variables simultaneously. This study explored associations between dysfunctional beliefs about sleep, sleep hygiene and sleep quality in a sample of university students.

METHODS

Participants were recruited from a pool of undergraduate psychology students and included 120 male students and 145 female students with an average age of 20 years (SD = 5.10). Participants completed an online survey including the Pittsburgh Sleep Quality Index, Dysfunctional Beliefs and Attitudes About Sleep Scale, Sleep Hygiene Index and demographic items.

RESULTS

Overall 60.4% of participants (59.4% of women, 40.6% of men) had poor sleep quality. Logistic regression indicated a significant positive association between sleep hygiene and sleep quality, OR = 1.16, P >.001, 95% CI (1.10, 1.23), and no significant relationship between dysfunctional beliefs about sleep and sleep quality, OR = 1.03, P > .79, 95% CI (0.84, 1.26), after adjusting for covariates.

CONCLUSIONS

Sleep interventions for university students are needed and could focus on common hygiene components, such as using the bed for activities other than sleeping, engaging in arousing activities before bed and how to manage thinking and worrying before bed. So What? The results of the study demonstrate poor sleep quality is common among university students and indicates that sleep interventions are warranted. The positive association found between sleep hygiene and sleep quality highlights that interventions should focus on behavioural components of sleep.

Quality of Sleep and Its Correlates among Yemeni Medical Students: A Cross-Sectional Study

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.

Association Between Pittsburgh Sleep Quality Index and Depressive Symptoms in Chinese Resident Physicians

Background: Previous studies have suggested that sleep quality is associated with depressive symptoms. However, associations between overall sleep quality and depressive symptoms in Chinese resident physicians remain unclear. Therefore, we aimed to determine whether overall sleep quality is associated with depressive symptoms in Chinese resident physicians. Methods: This cross-sectional study included 1,230 resident physicians. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was applied to estimate the associations between the PSQI and PHQ-9. Results: Among all participants, the prevalence of mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms were 48.28 and 12.93%, respectively. PSQI score was positively associated with PHQ-9 score before and after adjustments of socio-demographic, behavioral, and psychologic confounding factors (all P < 0.0001). After adjustments, the regression coefficients (standard error) between PSQI scores and PHQ-9 scores were 0.95 (0.04), 0.88 (0.09), and 0.96 (0.05) in all participants, men, and women, respectively. Compared to physicians with good sleep quality (PSQI scores ≤ 5), the adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for mild (PHQ-9 ≥ 5) and moderate or severe (PHQ-9 ≥ 10) depressive symptoms in physicians with poor sleep quality were 7.15 (5.44, 9.46) and 6.17 (4.03, 9.71) in all participants, respectively. Conclusions: Our findings suggest that poor sleep quality was associated with a higher prevalence of depressive symptoms in Chinese resident physicians.

Assessment of factors affecting the sleep hygiene of medical students in Bahawalpur, Pakistan: a cross-sectional study

Objective

To identify the factors which have a statistically significant association with sleep hygiene of medical students.

Material and Methods

This study was done on 100 medical students. The questionnaire that was used for the collection of data had two parts. First was related to demographic variables and second was a validated Pittsburgh sleep quality index (PSQI). All participants were from the first to fifth years of Bachelor of Medicine and Bachelor of Surgery (MBBS). Data were analysed using SPSS 23. The association was found by applying chi-square test.

Results

Our study revealed that out of 100 students, 61% had poor sleep hygiene (PSQI ≥ 5). Global PSQI scores among women were slightly higher than males. A statistical association was found between the residence and habit of studying at night of medical students with their sleep hygiene.

Discussion

Medical students should ensure good sleep hygiene in order to maintain their academic performance, physical health, and mental health.

Mental Health of Parents and Preschool-Aged Children During the COVID-19 Pandemic: The Mediating Role of Harsh Parenting and Child Sleep Disturbances

In the context of the coronavirus disease-2019 (COVID-19) pandemic, mental health problems of parents and children have become a public issue. Herein, we explored the association between parental well-being index and child mental health problems during the pandemic and the mediating role of harsh parenting and child sleep disturbances. An online survey was conducted among 16,398 parents of children aged 3-6 years (48.1% girls, M_age = 4.69 years, SD_age = 0.75 years) from March 15 to 29, 2020. Child mental health (Strengths and Difficulties Questionnaire, SDQ), sleep problems (Children's Sleep Habits Questionnaire, CSHQ), and parental well-being index (World Health Organization-Five Well-Being Index, WHO-5), and harsh parenting were reported by parents. The results revealed that a higher parental well-being index was associated with lower child mental health problems. Harsh parenting and child sleep problems were significant mediators within the association. This study indicates the association between parental well-being index and child mental health during the pandemic and underlying mechanism, and has important implications for reducing parental and child mental health problems.

The Prevalence of Psychological Distress and Its Relationship to Sleep Quality in Saudi Arabia's General Population During the COVID-19 Pandemic

BACKGROUND

We aimed to examine the effect of the COVID-19 pandemic and associated mitigation measures on sleep quality and psychological distress in Saudi Arabia.

METHODS

Subjective sleep quality over the preceding 30 days was measured using the Pittsburgh Sleep Quality Index (PSQI). In addition, Kessler Psychological Distress Scale (K10) was used to assess the psychological distress.

RESULTS

The study included 836 participants. The median age was 28 years, 624 (74.64%) were females, and 158 (18.90%) were healthcare workers. Factors associated with poor sleep were recent changes in the sleep habits p = 0.004), anxiety or fear because of coronavirus news on social media p = 0.02), fear because there was no approved drug to treat COVID-19 p = 0.03), and unaware of the presence of chronic diseases p = 0.03). Female gender p = 0.02), fear or anxiety because of coronavirus news on social media p = 0.04), recent change in sleep habits (OR: 1.97 (1.15-3.39); p = 0.01), fear because there is no approved drug to treat COVID-19 p = 0.001), monthly income <1000 SR p = 0.01), and isolation p = 0.01) were associated with distress. PSQI and K10 scores were significantly correlated p < 0.001).

CONCLUSION

Poor sleep and psychological distress are common during the COVID-19 outbreak in Saudi Arabia. Identifying factors associated with poor sleep and psychological distress would help develop specific intervention programs that enhance mental health and sleep quality during pandemics.

Anxiety Symptoms Are Associated With Higher Psychological Stress, Poor Sleep, and Inadequate Sleep Hygiene in Collegiate Young Adults-A Cross-Sectional Study

Background: Anxiety symptoms, stress, poor sleep, and inadequate sleep hygiene are common in university students and these affect their learning and increase attrition. However, limited knowledge exists about the inter-relationship between these factors among university students in low-middle income countries. Therefore, this study aimed to investigate the prevalence of anxiety symptoms and their relationship with sleep quality, sleep hygiene practices, and psychological stress. Materials and Methods: A cross-sectional study was conducted with a randomly selected sample of students in Mizan-Aman, Ethiopia. Participants completed a self-administered questionnaire, which included questions about socio-demographics, socio-economic factors, the Leeds Sleep Evaluation Questionnaire-Mizan, Sleep hygiene index, Perceived stress scale-10 (PSS-10), and Generalized anxiety disorder-7 scale (GAD-7). Results: The prevalence of anxiety symptoms was about 22%. Multivariate regression analysis showed that both anxiety status χ²[(13, N = 480) = 82.68, p < 0.001], and increasing levels of anxiety (model adjusted R2 = 0.204, p < 0.001) were associated with greater psychological stress, inadequate sleep hygiene practices, and poor sleep quality scores after adjusting for age, gender, attendance, substance use, years of university education, time spent in athletic activity every day, and frequency of tea/coffee consumption. Conclusion: There was a high prevalence of anxiety symptoms in this study population, and this condition was associated with psychological stress, poor sleep, and inadequate sleep hygiene parameters. These results suggest a need to address the various aspects of mental health and its diverse sleep correlates in university students.

Prevalence and Correlates of Sleep Quality Among Jordanian University Students: A Cross-Sectional National Study

Poor sleep quality affects university students' life and increases their risk of long-term health consequences. This study aimed to describe the quality of sleep among Jordanian university students, examine differences in sleep quality according to selected variables, and identify predictors of sleep quality. A cross-sectional correlational design and a multi-strategic sampling technique were used to select a sample of 1,308 university students. The Pittsburgh Sleep Quality Index, the Perceived Stress Scale, and the Sleep Hygiene Instrument were administered to the subjects. T-test, ANOVA, and multiple regressions were used to analyze the data. The results showed that most students were classified as poor sleepers (87.1%), and only (12.8%) reported having a good sleep quality. Among the components of sleep quality, subjective sleep quality (m = 1.90, SD = 0.89) and daytime dysfunction (m = 1.72, SD = 0.67) had the highest mean scores, while sleep efficiency (m = 0.50, SD = 0.91) and the use of sleep medications (m = 0.23, SD = 0.73) had the lowest mean scores. There were statistically significant differences in sleep quality in relation to residency, academic level, academic achievement, and family income. Significant predictors of sleep quality were gender, marital status, employment status, sleep hygiene, and stress.

Prevalence of Internet Addiction, Poor Sleep Quality, and Depressive Symptoms Among Medical Students: A Cross-Sectional Study

Objectives

This objective of the study was to report the prevalence of internet addiction, sleep quality, depression, anxiety, and stress in undergraduate medical students.

Methods

A cross-sectional, questionnaire-based study was conducted among 221 undergraduate medical students at Government Doon Medical College, Dehradun, Uttarakhand. Data pertaining to internet addiction, sleep quality, and depressive symptoms were also collected using validated and reliable questionnaires (Young Internet Addiction Test, Pittsburgh Sleep Quality Index, and Depression Anxiety Stress Scale 21).

Results

The prevalence of poor sleep quality, severe anxiety, and severe depression was 33.9%, 7.3% and 3.6%, respectively. The place of residence was significantly associated (p = 0.006) with internet addiction. The mean Young Internet Addiction Test score was higher in students residing in hostels compared with students staying with families. Stress was associated with age. The mean stress score was higher in the age group 17–20 compared with the 21–24 age group. Stress and depression were independent predictors of sleep quality.

Conclusion

Quality sleep is the key for good health. Based on limited samples, this study showed that poor sleep quality was associated with stress and depression. Hence, continuous counselling is suggested for supporting students managing their stress and depression.

Depression and Anxiety among Iranian Medical Students during COVID-19 Pandemic

Objective: COVID-19 has spread throughout the world and has become a global pandemic. This situation can cause psychological distress among people, especially health care workers.

This study aimed to determine depression and anxiety levels among Iranian medical students during the COVID-19 pandemic.

Method: In this cross sectional study, we designed an online survey of Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) questionnaires. The survey link was sent to 500 medical clerks and interns studying at Tehran University of Medical Sciences (TUMS).

Results: A total of 64.6% of the students completed the survey. The prevalence of mild to severe anxiety and depression among them was 38.1% and 27.6%, respectively. Anxiety and changes in sleep patterns were the most common symptoms. Higher levels of anxiety were related to female gender, lower grade point average (GPA), and experience of COVID-19 symptoms. Students with lower GPA and prior experience of COVID-19 symptoms were more likely to feel depressed.

Conclusion: Depression and anxiety did not significantly differ among Iranian medical students before and after the COVID-19 outbreak. Somatic symptoms of depression are more common during this pandemic and need particular attention in future similar situations. A higher GPA is related to lower anxiety and depression among medical students.

Sleep hygiene in shift workers: A systematic literature review

In response to demand for the '24/7' service availability, shift work has become increasingly common. Given their non-traditional working hours, shift workers sleep at non-traditional times, with significant research undertaken to understand shift worker sleep. However, sleep hygiene in shift workers has been paid little research attention. To investigate shift worker engagement with sleep hygiene, a systematic review using the databases Sage, ScienceDirect, and Scopus was undertaken. The search terms utilised were: shift work, shiftwork, shift-work, sleep hygiene, sleep routine, and sleep habit. Sixteen studies were included for review. Findings show that shift workers frequently report caffeine consumption and daytime napping, in line with best-practice fatigue-management strategies, but contrary to existing sleep hygiene recommendations. Shift workers also altered their bedroom environment to optimise sleep. Diet, exercise, alcohol and nicotine consumption were investigated minimally from a sleep hygiene perspective. Given that shift workers are engaging in practices in-line with current fatigue-management strategies, but contrary to sleep hygiene recommendations, further research is required. Specifically, assessment of the applicability of current sleep hygiene guidelines to shift workers (particularly caffeine and napping recommendations) is required, in addition to the development of shift work-specific sleep hygiene guidelines and interventions for this sleep-vulnerable population.

Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study

BACKGROUND

We aimed to examine the association between shift work and sleep quality in a diverse occupational type.

METHODS

This was a cross-sectional study of self-reported sleep quality in 424 workers aged ≥21 using the Pittsburgh Sleep Quality Index (PSQI). We divided workers into two categories based on their PSQI score: (a) ≤5 (good sleep quality) and (b) >5 (poor sleep quality). We used multiple logistic regressions to assess the association between shift work and sleep quality adjusted for potential confounders.

RESULTS

The mean age was 39.2 (SD = 11.3) years, with shift workers being older than their counterparts. Most workers were of Chinese ethnicity (63.9%). Males were significantly more likely to undertake shift work than females (89% v 11%, p-value<0.001), but it should be noted that the majority of workers was male (78.8%) in this sample of workers. Shift workers had a 198% increased odds of poor sleep quality compared to non-shift workers (OR = 2.98; 95% CI:1.53-5.81).

CONCLUSION

Shift work was significantly and independently associated with increased odds of poor sleep quality in this sample of workers. The present findings may inform employment guidelines and help develop workplace health promotion interventions aimed at improving sleep quality among workers and ultimately lead to a healthier workforce.

Prevalence of Mental Distress and Associated Factors among Samara University Students, Northeast Ethiopia

BACKGROUND

Empirical findings have indicated that higher institution students experience a higher prevalence of mental distress compared to the general population. Understanding the magnitude and associated factors of mental distress in university students would be helpful to practitioners and policymakers in Ethiopia. The aim of the present study was to examine the prevalence and associated factors of mental distress among Samara university students, Northeast Ethiopia.

METHODS

Institution based cross-sectional study design was conducted in Samara university from December to June 2018. A simple random sampling technique was employed to select the study participants. Self-Reporting Questionnaire-20 (SRQ-20) was used to measure the mental distress of students. Multivariable logistic regression modeling was used to examine the association between sociodemographic and psychosocial factors with the mental distress of students.

RESULTS

The proportion of students with mental distress were found to be 53.2% (95% confidence interval [CI]: 48.0%, 58.0%). Female students were more likely to be mentally distressed compared to male students (adjusted odds ratio [AOR]: 4.66; 95% CI: 2.81, 7.71). Ever khat use (AOR: 3.09; 95% CI: 1.74, 5.50) and poor sleep quality (AOR: 2.23; 95% CI: 1.12, 3.66) were significantly associated with mental distress of students.

CONCLUSION

Our study indicates that the proportion of mental distress was found to be higher among Samara university students as compared to previously published studies in Ethiopia. Female students, ever khat users and those with poor sleep quality were associated with mental distress. There is a need for evidence-based interventional strategies such as self-help measures, sleep hygiene and peer support, as well as professional mental health services as part of student health services that would be helpful to reduce the burden of mental distress of students.

The Global Prevalence of Anxiety Among Medical Students: A Meta-Analysis

Anxiety, although as common and arguably as debilitating as depression, has garnered less attention, and is often undetected and undertreated in the general population. Similarly, anxiety among medical students warrants greater attention due to its significant implications. We aimed to study the global prevalence of anxiety among medical students and the associated factors predisposing medical students to anxiety. In February 2019, we carried out a systematic search for cross-sectional studies that examined the prevalence of anxiety among medical students. We computed the aggregate prevalence and pooled odds ratio (OR) using the random-effects model and used meta-regression analyses to explore the sources of heterogeneity. We pooled and analyzed data from sixty-nine studies comprising 40,348 medical students. The global prevalence rate of anxiety among medical students was 33.8% (95% Confidence Interval: 29.2–38.7%). Anxiety was most prevalent among medical students from the Middle East and Asia. Subgroup analyses by gender and year of study found no statistically significant differences in the prevalence of anxiety. About one in three medical students globally have anxiety—a prevalence rate which is substantially higher than the general population. Administrators and leaders of medical schools should take the lead in destigmatizing mental illnesses and promoting help-seeking behaviors when students are stressed and anxious. Further research is needed to identify risk factors of anxiety unique to medical students.