Insomnia symptoms and short sleep predict anxiety and worry in response to stress exposure: a prospective cohort study of medical interns

An in-depth analysis of postoperative insomnia in elderly patients and its implications on rehabilitation

OBJECTIVES

(1) Assess the prevalence of postoperative insomnia; (2) identify the risk factors for postoperative insomnia before exposure to surgery; (3) explore the impact of postoperative insomnia on rehabilitation.

METHODS

A study was conducted with 132 participants aged ≥ 65 undergoing spine interbody fusion. We collected the basic demographic data, Numeric Rating Scales (NRS), Pittsburgh Sleep Quality Index (PSQI), Geriatric Depression Scale (GDS), and Beck Anxiety Inventory (BAI). We measured Quality of Recovery 40 (QoR-40), GDS, BAI, NRS, and PSQI on the first and third nights post-surgery, followed by QoR-40 and NRS assessments two weeks after surgery.

RESULTS

The cases of postoperative insomnia on the first and third nights and after two weeks were 81 (61.36%), 72 (54.55%), and 64 (48.48%), respectively, and the type of insomnia was not significantly different (P = 0.138). Sleep efficiency on the first night was 49.96% ± 23.51. On the first night of postoperative insomnia, 54 (66.67%) cases were depression or anxiety, and the PSQI was higher in this group than in the group without anxiety or depression (P < 0.001). PSQI, GDS, and the time of surgery were related factors for postoperative insomnia (PPSQI < 0.001, PGDS = 0.008, and PTime = 0.040). Postoperative rehabilitation showed differences between the insomnia and non-insomnia groups (P < 0.001).

CONCLUSIONS

The prevalence of postoperative insomnia in the elderly was high, and postoperative insomnia had a significant correlation with postoperative rehabilitation. Interventions that target risk factors may reduce the prevalence of postoperative insomnia and warrant further research.

CLINICAL TRIAL REGISTRATION

Multivariate analysis of postoperative insomnia in elderly patients with spinal surgery and its correlation with postoperative rehabilitation ( https://www.chictr.org.cn/bin/project/edit?pid=170201 ; #ChiCTR2200059827).

Sleep, mental health and physical health in new shift workers transitioning to shift work: Systematic review and meta-analysis

This systematic review and meta-analysis (PROSPERO registration CRD42022309827) aimed to describe how shift work impacts new workers' sleep, mental health, and physical health during the transition to shift work and to consolidate information regarding predictors of shift work tolerance (SWT) during this transition period. Inclusion criteria included: new shift workers; sleep, mental health, or physical health outcomes; prospective study design with the first timepoint assessing workers within three months of starting shift work; and written in English. Searches from six databases returned 12,172 articles as of August 2023. The final sample included 48 papers. Publication quality and risk of bias was assessed using the critical appraisal skills program. Forty-five studies investigated longitudinal changes in sleep, mental health, or physical health outcomes and 29 studies investigated predictors of SWT (i.e., better sleep, mental and physical health). Sleep and mental health outcomes worsened following the onset of shift work, while physical health did not significantly change. Pre-shift work mental health, sleep, and work characteristics predicted SWT later in workers' careers. Shift work adversely impacts new workers' sleep and mental health early in their career, and interventions before beginning shift work are needed to promote better SWT.

Insomnia and anxiety among COVID-19 patients in China: the chain mediating effect of psychological capital and self-esteem

BACKGROUND

The outbreak of Corona Virus Disease (COVID-19) in 2019 has continued until now, posing a huge threat to the public's physical and mental health, resulting in different degrees of mental health problems. As a vulnerable segment of the public, anxiety is one of the most common mental health problems among COVID-19 patients. Excessive anxiety aggravates the physical and psychological symptoms of COVID-19 patients, which is detrimental to their treatment and recovery, increases financial expenditure, affects family relations, and adds to the medical burden.

OBJECTIVE

This study aimed to explore the role of psychological capital and self-esteem in the relationship between insomnia and anxiety, thereby shedding light on the mechanism of the effect of insomnia on anxiety in COVID-19 patients.

METHODS

A cross-sectional study was conducted from April to May 2022 in Fangcang hospital in Shanghai, China. The self-administered questionnaires were distributed to 718 COVID-19 patients via cell phone using the Internet platform "Questionnaire Star", which included Athens Insomnia Scale, Psychological Capital Questionnaire, Self-esteem Scale, Self-Rating Anxiety Scale, gender, age, marital status, education. Data analysis was performed using descriptive analysis, independent-samples t-test, one-way analysis of variance, Pearson correlation analysis, ordinary least-squares regression, and bootstrap method.

RESULTS

Education background had significant impact on anxiety in COVID-19 patients (F = 7.70, P < 0.001). Insomnia, psychological capital, self-esteem and anxiety were significantly correlated, respectively (P < 0.001). And Regression analysis showed that insomnia had a direct negative predictive effect on psychological capital (β = -0.70, P < 0.001) and self-esteem (β = -0.13, P < 0.001). Psychological capital had a direct positive predictive effect on self-esteem (β = 0.12, P < 0.001). Insomnia had a direct positive predictive effect on anxiety (β = 0.61, P < 0.001). Both psychological capital and self-esteem had significant negative predictive effects on anxiety (β = -0.06, P < 0.05; β = -0.72, P < 0.001). The results showed that the mediating effect of psychological capital and self-esteem was significant, and the mediating effect value was 0.21. First, the indirect effect consisting of insomnia - psychological capital - anxiety was 0.04, showing that psychological capital had a significant mediating effect. Second, the indirect effect consisting of insomnia-self-esteem-anxiety had a value of 0.10, indicating that self-esteem had a significant mediating effect. Third, the indirect effect consisting of insomnia-psychological capital-self-esteem-anxiety had a value of 0.06, suggesting that psychological capital and self-esteem had a significant chain mediating effect between insomnia and anxiety.

CONCLUSIONS

Insomnia had a significant positive predictive effect on anxiety. Insomnia was first associated with a decrease in psychological capital, followed by a sequential decrease in self-esteem, which in turn was associated with increased anxiety symptoms in COVID-19 patients. Therefore, focusing on improving the psychological capital and self-esteem of patients can help alleviate the anxiety caused by insomnia in COVID-19 patients. It is recommended that patients and health care professionals increase the psychological capital and Self-esteem of COVID-19 patients through various methods to counter the effects of insomnia on anxiety.

Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study

STUDY OBJECTIVES

Reduced sleep duration and work hour variability contribute to medical error and physician burnout. This study assesses the relationships between physician performance, burnout, and the dimensions of sleep beyond hours slept.

METHODS

This was an ancillary analysis of 3 years of data from an international prospective cohort study: the Intern Health Study. Actigraphy data from 3,654 intern physicians capturing sleep timing, regularity, efficiency, and duration were used individually and combined as a composite sleep health index to measure the association of multidimensional sleep patterns on self-reported medical errors and burnout.

RESULTS

From 2017-2019, interns' work hours decreased by 4 hours per week and total sleep time also decreased (6.7 to 5.99 hours), and sleep efficiency, timing, and regularity all worsened (all P < .05). In the 21.2% of participants who committed an error, there was no difference in sleep duration, timing, or regularity. Lower sleep efficiency was associated with higher odds of committing an error (P = .003) and higher burnout scores (P < .001). Although overall sleep quality was poor in the entire cohort, interns in the lowest quintile of sleep duration, regularity, and efficiency had higher burnout scores than those in the best quintile.

CONCLUSIONS

Sleep efficiency, not duration, was associated with increased self-reported medical errors and burnout in intern physicians. Overall sleep quality and duration worsened despite fewer hours worked. Future studies on physician burnout should measure all aspects of sleep health.

CITATION

Hassinger AB, Velez C, Wang J, Mador MJ, Wilding GE, Mishra A. Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study. J Clin Sleep Med. 2024;20(2):221-227.

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students

Objective

Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance health outcomes. This study proposes a novel human-AI sleep coaching model, combining health coaching by peers and a QA system, and assesses its feasibility and efficacy in improving university students' sleep quality.

Methods

In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; n = 30) or the control conditions (QA system; n = 29). Outcomes included efficacy of the intervention on sleep quality (Pittsburgh Sleep Quality Index; PSQI), objective and self-reported sleep measures (obtained from Fitbit and sleep diaries) and feasibility of the study procedures and the intervention.

Results

Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = -0.51, 95% CI: [-1.55-0.77], p = 0.40). The intervention group demonstrated significant improvements in Fitbit measures of total sleep time (adjusted mean difference = 32.5, 95% CI: [5.9-59.1], p = 0.02) and time in bed (adjusted mean difference = 32.3, 95% CI: [2.7-61.9], p = 0.03) compared to the control group, although other sleep measures were insignificant. Adherence was high, with the majority of the intervention group attending all health coaching sessions. Most participants completed baseline and post-intervention self-report measures, all diary entries, and consistently wore Fitbits during sleep.

Conclusions

The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.

Research progress on the treatment of perimenopausal insomnia with Chaihu Jia Longgu Muli decoction based on brain-intestine-bacteria axis: A review

With the progress and rapid societal development, women are confronted with multifaceted pressures in their lives, encompassing familial and other domains. Furthermore, during the perimenopausal phase, endocrine equilibrium is disrupted, leading to the emergence of psychological and physiological health challenges. Insomnia is a prevalent symptom among perimenopausal individuals. The brain-gut-bacteria axis assumes a pivotal role in the prevention, diagnosis, and management of perimenopausal insomnia. Chaihu Jia Longgu Muli decoction is a commonly prescribed remedy for addressing perimenopopausal insomnia. Consequently, this paper aims to investigate the interplay between the brain-gut-bacteria axis, intestinal microbiota, and the pathogenesis of perimenopausal insomnia. The study focuses on examining the regulatory effects of Chaihu Jia Longgu Muli decoction on the nervous system, intestinal microbiota, and the hypothalamus-pituitary-adrenal axis. Additionally, it explores the mechanisms underlying Hujia Longgu Muli decoction in mitigating perimenopausal insomnia.

Insomnia is associated with conspiracy mentality, psychological distress, and psychological well-being

RATIONALE

Conspiracy theories are frequently encountered as they exist across all domains of life, from interpersonal issues in the workplace to global events. Research has primarily focused on uncovering the antecedents of conspiracy beliefs; meanwhile, little research has examined the impacts of possessing a conspiracy mentality.

OBJECTIVE

In the current research, we examined the relationships of conspiracy mentality with perceived control, insomnia, psychological well-being (i.e., positive emotions, engagement, relationships, meaning, and achievement), and psychological distress (i.e., anxiety and depression).

METHODS

Participants (N = 388) reported their conspiracy mentality at Time 1 and then completed measures assessing perceived control, insomnia, psychological well-being, and psychological distress 1 month later at Time 2. We conducted regression analyses, structural equation modeling, and bootstrapping analyses to test our predictions that conspiracy mentality predicts insomnia through thwarted perceived control and that this relationship carries direct implications for psychological well-being and distress.

RESULTS

As predicted, regression analyses showed that conspiracy mentality is negatively associated with perceived control and indicators of psychological well-being, and positively associated with insomnia and indicators of psychological distress 1 month later. The results of structural equation modeling and bootstrapping analyses provided empirical support to our theoretical model that perceived control and insomnia serially mediate the relationship between conspiracy mentality and both psychological well-being and psychological distress.

CONCLUSIONS

These findings offer important contributions to the literature on conspiracy beliefs. Practically, they offer potential routes of intervention to weaken insomnia and psychological distress and enhance psychological well-being.

Neuroimaging profiles of the negative affective network predict anxiety severity in patients with chronic insomnia disorder: A machine learning study

BACKGROUND

Sleep is instrumental in safeguarding emotional well-being. While the susceptibility to both insomnia and anxiety has been demonstrated to involve intricate brain systems, the neuroimaging profile of chronic insomnia disorder with comorbid anxiety symptoms (CID-A) remains unexplored. Employing machine learning methodologies, this study aims to elucidate the distinct neural substrates underlying CID-A and to investigate whether these cerebral markers can prognosticate anxiety symptoms in patients with insomnia.

METHODS

Functional magnetic resonance imaging (fMRI) data were procured from a relatively large cohort (dataset 1) comprised of 47 CID-A patients, 49 CID patients without anxiety (CID-NA), and 48 good sleeper controls (GSC). Aberrant cerebral functional alterations were assessed through functional connectivity strength (FCS) and resting-state functional connectivity (rsFC). Subsequently, Support Vector Regression (SVR) models were constructed to predict anxiety symptoms in CID patients based on neuroimaging features, which were validated utilizing an external cohort (dataset 2).

RESULTS

In comparison to CID-NA and GSC subjects, CID-A patients exhibited heightened FCS in the right dorsomedial prefrontal cortex (DMPFC), a central hub within the negative affective network. Moreover, the SVR models revealed that DMPFC-related rsFC/FCS features could be employed to predict anxiety symptoms in two independent cohorts of CID patients.

LIMITATION

Modifications in brain functionality might vary across insomnia subtypes.

CONCLUSION

The present findings suggest a potential negative affective network model for the neuropathophysiology of CID accompanied by anxiety. Importantly, the negative affective network pattern may serve as a predictor for anxiety symptoms in CID patients.

Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students

Background

College students report disturbed sleep patterns that can negatively impact their wellbeing and academic performance.

Objectives

This study examined the effect of a 4-week sleep hygiene program that included sleep education and actigraph sleep trackers (FITBITs) on improving sleep quality and reducing psychological worry without control group.

Design settings and participants

A pilot quasi-experimental design, participants were randomly selected medical and health sciences from a university students in the United-Arab-Emirates.

Methods

Students were asked to wear FITBITs and log their daily sleep data and completed the Pittsburgh Sleep Quality Index (PSQI) and Penn State Worry Questionnaire (PSWQ). Extensive sleep hygiene education was delivered via lectures, a WhatsApp group, and the Blackboard platform. In total, 50 students completed pre-and post-assessments and returned FITBIT data.

Results

There was a significant difference in the prevalence of good sleep postintervention compared with pre-intervention (46% vs. 28%; p = 0.0126). The mean PSQI score was significantly lower post-intervention compared with pre-intervention (6.17 ± 3.16 vs. 7.12.87; p = 0.04, Cohen's d 0.33). After the intervention, subjective sleep quality, sleep latency, and daytime dysfunction were significantly improved compared with pre-intervention (p < 0.05). In addition, FITBIT data showed total sleep time and the number of restless episodes per night were significantly improved postintervention compared with pre-intervention (p = 0.013). The mean PSWQ score significantly decreased from pre-intervention to p = 0.049, Cohen' d = 0.25. The correlation between PSQI and PSWQ scores was significant post-intervention (β = 0.40, p = 0.02).

Conclusion

Our results may inform university educational policy and curricular reform to incorporate sleep hygiene awareness programs to empower students and improve their sleep habits.

Longitudinal Associations Among Symptoms of Family Intensive Care Unit Syndrome

BACKGROUND

Family intensive care unit (ICU) syndrome, a comorbid response to another person's stay in the ICU, is characterized by emotional distress, poor sleep health, and decision fatigue.

OBJECTIVES

This pilot study examined associations among symptoms of emotional distress (anxiety and depression), poor sleep health (sleep disturbance), and decision fatigue in a sample of family members of patients in the ICU.

METHODS

The study used a repeated-measures, correlational design. Participants were 32 surrogate decision makers of cognitively impaired adults who had at least 72 consecutive hours of mechanical ventilation within the neurological, cardiothoracic, and medical ICUs at an academic medical center in northeast Ohio. Surrogate decision makers with a diagnosis of hypersomnia, insomnia, central sleep apnea, obstructive sleep apnea, or narcolepsy were excluded. Severity of symptoms of family ICU syndrome was measured at 3 time points in 1 week. Zero-order Spearman correlations of the study variables were interpreted at baseline and partial Spearman correlations of study variables were interpreted 3 days and 7 days after baseline.

RESULTS

The study variables showed moderate to large associations at baseline. Baseline anxiety and depression were associated with each other and with decision fatigue at day 3. Baseline sleep disturbance was associated with anxiety, depression, and decision fatigue at day 7.

CONCLUSIONS

Understanding the temporal dynamics and mechanisms of the symptoms of family ICU syndrome can inform clinical, research, and policy initiatives that enhance the provision of family-centered critical care.

Nonsuicidal self-injury, sleep quality, and shame response to a laboratory stress task

OBJECTIVE

Nonsuicidal self-injury (NSSI) frequently functions to regulate shame-based emotions and cognitions in the context of interpersonal stress. The present study sought to examine how sleep quality (SQ) may influence this process in a laboratory setting.

METHODS

Participants included 72 adults (Mage  = 24.28; 36 with a lifetime history of NSSI) who completed a self-report measure of prior month SQ and engaged in a modified Trier social stress task (TSST). State shame ratings were collected immediately before and following the TSST, as well as 5 min post-TSST, to allow for the measurement of shame reactivity and recovery.

RESULTS

No significant results emerged for NSSI history and SQ as statistical predictors of shame reactivity. However, NSSI history was significantly associated with heightened shame intensity during the recovery period of the task, and this was moderated by SQ. Simple slopes analyses revealed a conditional effect whereby poorer SQ (1SD above the mean) was associated with greater intensity of shame during recovery, but only for those with a history of NSSI.

CONCLUSION

Poor SQ may contribute to worrisome emotional responses to daytime stressors in those at risk for NSSI.

Restraint stress induced anxiety and sleep in mice

In humans and animals, exposure to changes in internal or external environments causes acute stress, which changes sleep and enhances neurochemical, neuroendocrine, and sympathetic activities. Repeated stress responses play an essential role in the pathogenesis of psychiatric diseases and sleep disorders. However, the underlying mechanism of sleep changes and anxiety disorders in response to acute stress is not well established. In the current study, the effects of restraint stress (RS) on anxiety and sleep-wake cycles in mice were investigated. We found that after RS, the mice showed anxiety-like behavior after RS manipulation and increased the amounts of both non-rapid eye movement (NREM) and rapid eye movement (REM) sleep in the dark period. The increase in sleep time was mainly due to the increased number of episodes of NREM and REM sleep during the dark period. In addition, the mice showed an elevation of the EEG power spectrum of both NREM and REM sleep 2 h after RS manipulation. There was a significant reduction in the EEG power spectrum of both NREM and REM sleep during the darkperiod in the RS condition. The expression of the c-Fos protein was significantly increased in the parabrachial nucleus, bed nucleus of the stria terminalis, central amygdala, and paraventricular hypothalamus by RS manipulation. Altogether, the findings from the present study indicated that neural circuits from the parabrachial nucleus might regulate anxiety and sleep responses to acute stress, and suggest a potential therapeutic target for RS induced anxiety and sleep alterations.

Sleep disturbance during COVID-19: Correlates and predictive ability for mental health symptomatology in a Canadian online sample

BACKGROUND

Sleep disturbance is associated with mental health symptomatology, but this impact is understudied during COVID-19. The aims of this study are to: 1) examine correlates of sleep disturbance, and 2) examine the longitudinal relationship between sleep disturbance and mental health symptoms 6 months later, during the pandemic.

METHODS

Data were analyzed from COVID-19 Survey Canada conducted between May 2020 (T1) and November 2021 (T2) (n = 489). We examined COVID-related baseline correlates of sleep disturbance at T1, and used multivariable regressions to examine the relationship between T1 sleep disturbance and T2 post-traumatic stress (PTS), health anxiety, generalized anxiety, and depressive symptoms, controlling for baseline mental health symptoms and sociodemographics.

RESULTS

Females, ages 30-49, and those with an annual household income <$50,000, showed a higher prevalence of clinically significant sleep disturbance. After adjustment, compared to those without sleep disturbance at baseline, those with sleep disturbance showed a significant increase in PTS symptoms at 6 months (b = 11.80, 95% CI = [8.21-15.38], p < 0.001).

LIMITATIONS

Results are not nationally representative. Data may be subject to response biases due to self-report methods and we are unable to determine causality.

CONCLUSION

Being able to predict adverse mental health implications of sleep disturbance will help clinicians be equipped to target future impacts of the COVID-19 pandemic as well as any future potential pandemics or traumas. This study emphasizes the importance of screening individuals for sleep disturbance.

Insomnia, sleep duration, and risk of anxiety: A two-sample Mendelian randomization study

BACKGROUND

The effect of insomnia and sleep duration on risk of anxiety has been assessed based on traditional epidemiological studies. However, the inconsistent conclusions do not establish causal associations. This study aimed to explore the causal associations of insomnia, short sleep, and long sleep with anxiety.

METHODS

We used summary statistics from three large-scale genome-wide association studies (GWAS) of European ancestry to perform a two-sample Mendelian randomization (MR) study. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. To evaluate the robustness of our findings, we performed the weighted-median approach, the MR-Egger method, and the MR-robust adjusted profile score (MR-RAPS) method for sensitivity analyses.

RESULTS

There was a statistically significant association of genetically predicted insomnia with anxiety using the IVW method (OR = 1.36, 95% CI = 1.23-1.51, P < 0.001). Genetically predicted short sleep was potentially associated with anxiety using IVW method (OR = 1.67, 95% CI = 1.08-2.60, P = 0.022). However, sensitivity analyses did not find the causal association of short sleep with anxiety (all P > 0.053). We did not observe a statistically significant causal association of genetically predicted long sleep with anxiety (OR = 0.91, 95% CI = 0.48-1.74, P = 0.775).

CONCLUSIONS

We found strong evidence that insomnia but not short sleep and long sleep has a causal effect on anxiety. The characteristics of insomnia should be incorporated into anxiety prevention and intervention strategies, which have important public health significance.

Individual and residency program factors related to depression, anxiety and burnout in physician residents - a Brazilian survey

BACKGROUND

Psychological distress is common among medical trainees. This study aimed to assess the frequency of depression, anxiety and burnout among physician residents and their association with both individual and residency program-related factors.

METHODS

This was a cross-sectional study applying an online survey in a national-wide sample of medical residents from Brazil. Depression, anxiety, burnout and diurnal somnolence were assessed with validated tools (Patient Health Questionnaire-4, 2 items version of Maslach Burnout Inventory, and Epworth Sleepiness Scale). Socio-demographic and residency program-related factors were measured with internally validated instruments. We performed multivariate binary logistic regression analysis for each of the main outcomes.

RESULTS

Screening for depression, anxiety and burnout was positive respectively in 46.9%, 56.6% and 37.0% of our sample (n = 1,419). Depression was independently related to female sex, longer duty hours, absence of day off, poor learning perception, poor feeling about the residency program, overall occurrence of psychological abuse, anxiety, diurnal somnolence and burnout (AUROC = .859 [95%CI = .840-.878], p < .001). Anxiety was independently associated with female sex, higher age and duty hours, work-personal life conflicts, few classroom activities, providing assistance without supervision, depression and diurnal somnolence (837 [.816-.857], p < .001). Burnout was related to lower age and leisure time, male sex, longer duty hours, absence of day off, provision of care without supervision, choice of the wrong specialty, poor learning, psychological abuse, depression and diurnal somnolence (.780 [.753-.806], p < .001).

CONCLUSION

Frequency of psychological distress in residency training is high and related to both individuals and environmental factors, namely high workloads, occurrence of psychological abuse, poor faculty supervision, poor learning experience and work-personal life conflicts.

A cross sectional study: The association between sleeping quality and stress among second and third medical students at the University of Jordan

OBJECTIVE

Medicine is considered one if not the most stressful educational field. Thus, the aim of this study is to investigate the prevalence of stress and poor sleeping quality among medical students and the association between them.

METHOD

This cross-sectional study was conducted at the University of Jordan on second- and third-year medical students. The questionnaire consisted of: 1) Demographics; 2) The assessment tools which were Pittsburgh Quality of Sleep Index (PSQI) and Kessler Psychological Distress Status (K10). Binary logistic regression, chi-square and linear regression were used to investigate the association between PSQI, K10, and their determinants.

RESULTS

The mean for PSQI score was 6.76 ± 3.32. PSQI scores interpretation revealed that 61.7% of the 282 participants of this study were poor sleepers. Logistic regression results showed that only the category of not napping at all from the napping hours variable was significantly associated with sleeping quality. Furthermore, the mean of K10 scores was 24.5 ± 8.5. K10 scores revealed that 66.3% of the participants were stressed. Logistic regression results showed that gender and regular exercise were significantly associated with psychological distress. Additionally, chi-square test, logistic regression and linear regression showed that PSQI was significantly associated with K10 (P <0.01).

CONCLUSIONS

Stress and poor sleeping quality in medical students at the University of Jordan were highly prevalent and strongly associated. What determined PSQI was daytime napping, and for K10 were regular exercise and gender. Further investigations into stress and sleep quality in the Arabian region are needed.

Gender Differences in Insomnia and Role of Work Characteristics and Family Responsibilities Among Healthcare Workers in Taiwanese Tertiary Hospitals

BACKGROUND

Insomnia is common among healthcare workers (HCWs), especially those working in tertiary hospitals. This study aimed to clarify whether gender differences in insomnia could be explained by gender differences in work characteristics and family responsibilities among HCWs in tertiary hospitals in Taiwan.

METHODS

This cross-sectional study was conducted in 22 departments of two tertiary hospitals in Northern Taiwan from December 2018 to March 2019. All data were obtained by a self-administered questionnaire given when participants underwent annual health check-ups. Insomnia was evaluated using the Chinese Athens Insomnia Scale. Work characteristics and family responsibilities were as follows: department, working hours, shift work, visual display terminals used at work, demand-control-support model, burnout level, breadwinner status, living conditions, and caregiver status. Data of 2,811 participants (317 men, 11.3%; 2,494 women, 88.7%) were analyzed (response rate: men, 85%; women, 88%). Logistic regression analysis examined howwork characteristics and family responsibilities explained gender differences in insomnia.

RESULTS

The prevalence of insomnia in women (61.7%) was significantly higher than that in men (52.7%), and gender differences strengthened after adjusting for work characteristics and family responsibilities [odds ratio: 1.45 (1.11-1.90) and 1.62 (1.18-2.22), p < 0.01]. Stratified analyses revealed that significant gender differences were found among HCWs with comparatively unfavorable work and family conditions. Furthermore, women had a higher association of insomnia owing to these factors.

CONCLUSION

These results suggest that gender differences in insomnia among HCWs are mainly explained by gender differences in work characteristics and family responsibilities.

Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors

Background

Chronic stress is a highly prevalent condition that may stem from different sources and can substantially impact physiology and behavior, potentially leading to impaired mental and physical health. Multiple physiological and behavioral lifestyle features can now be recorded unobtrusively in daily-life using wearable sensors. The aim of the current study was to identify a distinct set of physiological and behavioral lifestyle features that are associated with elevated levels of chronic stress across different stress sources.

Methods

For that, 140 healthy female participants completed the Trier inventory for chronic stress (TICS) before wearing the Fitbit Charge3 sensor for seven consecutive days while maintaining their daily routine. Physiological and lifestyle features that were extracted from sensor data, alongside demographic features, were used to predict high versus low chronic stress with support vector machine classifiers, applying out-of-sample model testing.

Results

The model achieved 79% classification accuracy for chronic stress from a social tension source. A mixture of physiological (resting heart-rate, heart-rate circadian characteristics), lifestyle (steps count, sleep onset and sleep regularity) and non-sensor demographic features (smoking status) contributed to this classification.

Conclusion

As wearable technologies continue to rapidly evolve, integration of daily-life indicators could improve our understanding of chronic stress and its impact of physiology and behavior.

Prevalence and risk factors for mental health symptoms in community epidemic prevention workers during the postpandemic era of COVID-19 in China

Few people have paid attention to community epidemic prevention workers in the postpandemic era of COVID-19. This study aimed to explore the prevalence and risk factors for mental health symptoms in community epidemic prevention workers during the postpandemic era. Mental health status was evaluated by the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Chinese Perceived Stress Scale, Insomnia Severity Index, and Maslach Burnout Inventory-General Survey. The results showed that a considerable proportion of community epidemic prevention workers reported symptoms of depression (39.7%), anxiety (29.5%), high stress (51.1%), insomnia (30.8%), and burnout (53.3%). The prevalence of depression and anxiety in community epidemic prevention workers was higher than in community residents. Among community epidemic prevention workers, short sleep duration was a risk factor for depression, anxiety, high stress and insomnia. Concurrent engagement in work unrelated to epidemic prevention and current use of hypnotics were risk factors for depression, anxiety and insomnia. Our study suggests that during the postpandemic era, the mental health problems of community epidemic prevention workers are more serious than those of community residents. Several variables, such as short sleep duration and concurrent engagement in work unrelated to epidemic prevention, are associated with mental health among community epidemic prevention workers.

Can measures of sleep quality or white matter structural integrity predict level of worry or rumination in adolescents facing stressful situations? Lessons from the COVID-19 pandemic

INTRODUCTION

COVID-19 has resulted in major life changes to the majority of the world population, particularly adolescents, with social-distancing measures such as home-based schooling likely to impact sleep quality. Increased worry is also likely considering the substantial financial, educational and health concerns accompanying COVID-19. White matter (WM) integrity has been shown to be associated with anxiety and depression symptoms, including worry, as well being closely associated with sleep quality. This study aimed to investigate the associations between pre-COVID sleep quality, WM structural integrity and levels of worry and rumination about COVID.

METHODS

N = 30 adolescent participants from Queensland, Australia, completed diffusion tensor imaging (DTI) scanning pre-COVID, the Pittsburgh Sleep Quality Index (PSQI) pre and during COVID, and 9 items designed to measure 3 constructs, perceived impact of COVID, general worry, and COVID-specific worry and rumination.

RESULTS

Sleep quality (PSQI total) was significantly poorer during COVID compared with pre-COVID. Sleep onset latency measured pre-COVID was significantly associated with COVID-specific worry and rumination. While the structural integrity of a number of WM tracts (measured pre-COVID) were found to be significantly associated with COVID-specific worry and rumination. Follow-up regression analysis using a model including pre-COVID sleep onset latency, structural integrity of the posterior limb of the internal capsule (PLIC), gender and change in PSQI explained a significant 47% of the variance in COVID-specific worry and rumination.

CONCLUSIONS

These findings suggest that adolescents with poor sleep quality and perturbed WM integrity may be at risk of heightened reactivity to future stressful events and interventions should focus on improving sleep onset latency.

A multicenter survey of perioperative anxiety in China: Pre- and postoperative associations

OBJECTIVES

To describe patient characteristics associated with preoperative anxiety and subsequently assess the relationship between preoperative anxiety and postoperative anxiety, pain, sleep quality, nausea and vomiting.

METHODS

The study collected data from patients undergoing elective operation from 12 hospitals in China. The State-Trait Anxiety Inventory (STAI) and the Athens Insomnia Scale (AIS) were used to assess anxiety and sleep quality before surgery. Evaluations of anxiety, pain, sleep quality, nausea and vomiting were quantified using the Visual Analogue Scale on postoperative days 1 and 2.

RESULTS

Data from 997 patients were analyzed. Preoperatively, 258 (25.9%) patients had high anxiety (STAI-State>44). Multivariate analyses showed a significant relationship between high anxiety and female gender (OR: 1.66, 95% CI: 1.08-2.57, p = 0.02), highly invasive surgery (OR: 2.29, 95% CI: 1.29-4.06, p = 0.005), higher trait anxiety (OR: 1.24, 95% CI: 1.20-1.28, p < 0.001) and insomnia (AIS ≥ 6, OR: 1.79, 95% CI: 1.17-2.76, p = 0.008). Preoperative anxiety demonstrated a negative correlation with postoperative anxiety following highly invasive surgery; this became a positive relationship following less invasive surgery. Preoperative anxiety was also positively related to postoperative pain and poor sleep quality. The correlation between preoperative anxiety and postoperative nausea and vomiting was not statistically significant.

CONCLUSION

Female gender, highly invasive surgery, higher trait anxiety and insomnia are independent risk factors for high preoperative anxiety. Surgical invasiveness influences association between pre- and postoperative anxiety. Higher preoperative anxiety is related to poorer sleep quality and more severe pain postoperatively.

A pathogenic cycle between insomnia and cognitive arousal fuels perinatal depression: exploring the roles of nocturnal cognitive arousal and perinatal-focused rumination

STUDY OBJECTIVES

Depression is among the most prevalent perinatal complications, yet modifiable risk factors remain elusive. Over half of perinatal women endorse clinical insomnia symptoms, which are etiologically implicated in depression in nonperinatal samples. Yet, prospective data on perinatal insomnia and depression are mixed. We sought to clarify temporal associations of insomnia and depression during peripartum, and to investigate cognitive arousal as a potential mechanism facilitating this relationship.

METHODS

Seventy pregnant women completed sociodemographic information and baseline sleep and mood symptoms between gestational weeks 25 and 30. Beginning at gestational week 30, participants completed 17 weekly online surveys assessing insomnia, depression, and three cognitive arousal indices (nocturnal cognitive arousal, perseverative thinking, and perinatal-focused rumination). Mixed effects models were conducted to test hypotheses.

RESULTS

Women were at risk for depression when experiencing insomnia (odds ratio [OR] = 2.36, 95% confidence interval [CI] = 1.28 to 4.35), nocturnal cognitive arousal (OR = 3.05, 95% CI = 1.60 to 5.79), perinatal-focused rumination (OR = 2.05, 95% CI = 1.11 to 3.79), and perseverative thinking (OR = 7.48, 95% CI = 3.90 to 14.32). Prospective analyses revealed bidirectional effects between insomnia and cognitive arousal, and both predicted future depression. Nocturnal cognitive arousal mediated 23-43% of the effect of insomnia on depression. Insomnia mediated 12%-18% of the effect of nocturnal cognitive arousal on depression. A similar pattern was observed with perinatal-focused rumination. Depression did not predict insomnia.

CONCLUSION

Nocturnal cognitive arousal, including ruminating on perinatal concerns while trying to fall asleep, fuels insomnia. In turn, lying awake at night provides an opportunity for nocturnal cognitive arousal. This cycle feeds perinatal depression. Daytime cognitive arousal may indirectly disrupt sleep as perseverating during the day persists into the night.

Machine learning suggests sleep as a core factor in chronic pain

Patients with chronic pain have complex pain profiles and associated problems. Subgroup analysis can help identify key problems. We used a data-based approach to define pain phenotypes and their most relevant associated problems in 320 patients undergoing tertiary pain management. Unsupervised machine learning analysis of parameters "pain intensity," "number of pain areas," "pain duration," "activity pain interference," and "affective pain interference," implemented as emergent self-organizing maps, identified 3 patient phenotype clusters. Supervised analyses, implemented as different types of decision rules, identified "affective pain interference" and the "number of pain areas" as most relevant for cluster assignment. These appeared 698 and 637 times, respectively, in 1000 cross-validation runs among the most relevant characteristics in an item categorization approach in a computed ABC analysis. Cluster assignment was achieved with a median balanced accuracy of 79.9%, a sensitivity of 74.1%, and a specificity of 87.7%. In addition, among 59 demographic, pain etiology, comorbidity, lifestyle, psychological, and treatment-related variables, sleep problems appeared 638 and 439 times among the most important characteristics in 1000 cross-validation runs where patients were assigned to the 2 extreme pain phenotype clusters. Also important were the parameters "fear of pain," "self-rated poor health," and "systolic blood pressure." Decision trees trained with this information assigned patients to the extreme pain phenotype with an accuracy of 67%. Machine learning suggested sleep problems as key factors in the most difficult pain presentations, therefore deserving priority in the treatment of chronic pain.

The efficacy of affective and sensory psychotherapy module for sleep disturbances in generalized anxiety disorder

OBJECTIVE

This study was aimed to examine the effectiveness of a newly developed therapeutic method focusing on affective and sensory processes in the treatment of sleep problems in outpatients with Generalized Anxiety Disorder (GAD), called the 'Affective and Sensory Psychotherapy Module' (ASPM).

METHOD

A randomised controlled trial was conducted, there were 60 outpatient participants. The Generalized Anxiety Disorder 7-Item Scale (GAD-7) and the Pittsburgh Sleep Quality Index (PSQI) were used at baseline, post-treatment, and 3 month follow-up.

RESULTS

There were no significant differences between the therapeutic and control groups at baseline. The therapeutic group showed a significant improvement in sleep quality and anxiety decrease compared to the control group. Sex differences did not occur in the results for within-subjects and between-group effects in this study.

CONCLUSIONS

The present study supported the efficacy of ASPM in the treatment of sleep problems in adult outpatients with GAD.

What types of insomnia relate to anxiety and depressive symptoms in late life?

Background

Symptoms of insomnia are associated with symptoms of depression and anxiety in older adults, yet less is known about the relation of specific forms of insomnia (i.e., onset, maintenance, and terminal insomnia) with these symptoms. This study explored how insomnia types related to symptoms of anxiety and depression in older adults. It was hypothesized that onset and maintenance insomnia would have stronger relations to anxiety and depressive symptoms than terminal insomnia.

Methods

One-hundred thirty-three older adults (mean age 69, age range 65–89) were recruited using Amazon's Mechanical Turk. Participants completed the Insomnia Severity Index, Geriatric Depression Scale-Short Form, and Geriatric Anxiety Inventory-Short Form.

Results

Regression analyses that controlled for the comorbidity between anxiety and depressive symptoms indicated that onset insomnia was the only independent predictor of anxiety symptoms, and maintenance insomnia was the only independent predictor of depressive symptoms, each of which had medium to large effect sizes.

Limitations

Our findings are limited by an online, primarily Caucasian, and non-clinical sample as well as the cross-sectional design of the study.

Conclusions

Our findings suggest that despite overlap between symptoms of depression and anxiety, insomnia may have different mechanisms of affecting each disorder. Thus, the type of insomnia is clinically relevant and should be assessed when symptoms of anxiety, depression, and/or sleep difficulties are reported.

Study of the Effects of Recognition of Stress on Symptoms and Regular Hospital Visits: An Analysis from Japanese National Statistics

Stress is a risk factor for numerous lifestyle diseases, including dental diseases. The purpose of the present study was to investigate how sensitivity to psychological stress relates to subjective symptoms and regular hospital visits using information from the large-scale database of national statistics. Anonymized data from 10,584 respondents aged 30–79 of the Japanese 2013 Comprehensive Survey of Living Conditions were analyzed. Respondents were classified by age into a middle-aged group and an elderly group, and a contingency table analysis, rank correlation analysis, and binomial logistic regression analysis were performed. Contingency table analysis confirmed that eight items were related to the presence of a recognition of stress, including the presence of subjective symptoms (p < 0.001), the presence of regular hospital visits (p < 0.001), symptoms of periodontal disease (p < 0.001), and self-rated health (p < 0.001). Responses for symptoms and diseases requiring regular hospital visits were ranked in order for a stress group and a no stress group, and it was found that other than fatigue symptoms being ranked highly in the stress group, there were no particular differences. Logistic regression analysis results showed significant odds ratios for six items including: self-rated health (3.91, 95% CI, 3.23 to 4.73), lifestyle awareness (1.96, 95% CI, 1.68 to 2.28), and symptoms of periodontal disease (1.71, 95% CI 1.19 to 2.48). The present study showed that susceptibility to psychological stress is related to awareness of subjective symptoms and to regular hospital visits due to disease, suggesting that these have direct and indirect mutual effects.

Sleep quality and mental health in the context of COVID-19 pandemic and lockdown in Morocco

BACKGROUND

The lockdown of COVID-19 (Coronavirus Disease 2019) is associated with several stressful factors that can negatively affect peoples' sleep quality and mental health.

OBJECTIVES

We conducted this study to evaluate sleep disorders and psychological impact associated with the spread of the COVID-19 and the lockdown on the Moroccan population. We also aimed to study the effects of respondents' beliefs and attitudes about sleep on sleep disorders, anxiety-related symptoms, and depressive symptoms.

MATERIAL AND METHODS

We used a questionnaire enclosing respondents' sociodemographic information, five psychological and behavioral tests including Dysfunctional Beliefs and Attitudes about Sleep (DBAS-16), Athens Insomnia Scale (AIS), Epworth Sleepiness Scale (ESS), Hamilton Anxiety Rating Scale (HARS) and Beck Depression Inventory (BDI) test.

RESULTS

Our results highlighted widespread false beliefs about sleep and the prevalence of sleep disorders, anxiety, and depression-related symptoms within the Moroccan population. Nearly 82.3% of respondents revealed false beliefs about sleep. Furthermore, we confirmed a strong positive correlation between knowledge and attitudes about sleep and the prevalence of sleep disorders, anxiety, and depression-related symptoms. However, we found no significant difference in the prevalence of sleep and psychological disorders, between healthcare workers and other professions workers.

CONCLUSION

Our study revealed a high prevalence of sleep disorders, anxiety, and depressive symptoms in the Moroccan population during the COVID-19 lockdown period. Moreover, false beliefs on sleep understanding were prevalent and were presenting a risk factor leading to sleep disorders, anxiety, and depressive symptoms.

Caring for the carers: Advice for dealing with sleep problems of hospital staff during the COVID-19 outbreak

Hospital staff are at the frontline in the COVID‐19 outbreak. The stressors they experience may induce sleep problems in a population already at risk. Sleep deprivation, long shifts and insomnia in hospital staff have been associated with individual, organizational and public health hazards. These include increased risk of mental and somatic disorders, altered immune responses, medical errors, misunderstandings, drowsy driving and burnout. In March 2020, the World Health Organization called for providing access to mental health and counselling for health professionals involved in the COVID‐19 outbreak. To answer this call, we propose practical advice for the management of sleep problems (sleep deprivation, insomnia and shift work) that can be included in supportive interventions. The advice is based on psychobiological principles of sleep regulation and on guidelines for the treatment of insomnia and was implemented within an initiative offering psychological support to the staff of three university hospitals in Rome.

Depression and suicidal ideation in pregnancy: exploring relationships with insomnia, short sleep, and nocturnal rumination

BACKGROUND

Sleep problems and depression are highly prevalent in pregnancy. Nocturnal rumination has been linked to insomnia and depression in non-pregnant samples, but remains poorly characterized in pregnancy. This study explored relationships of depression and suicidal ideation with insomnia, short sleep, and nocturnal rumination in mid-to-late pregnancy.

METHODS

In this study, 267 pregnant women were recruited from obstetric clinics and completed online surveys on sleep, depression, and nocturnal rumination.

RESULTS

Over half (58.4%) of the sample reported clinical insomnia on the Insomnia Severity Index, 16.1% screened positive for major depression on the Edinburgh Postnatal Depression Scale (EPDS), and 10.1% endorsed suicidal ideation. Nocturnal rumination was more robustly associated with sleep onset difficulties than with sleep maintenance issues. Depressed women were at greater odds of sleep onset insomnia (OR = 2.80), sleep maintenance insomnia (OR = 6.50), high nocturnal rumination (OR = 6.50), and negative perinatal-focused rumination (OR = 2.70). Suicidal ideation was associated with depression (OR = 3.64) and negative perinatal-focused rumination (OR = 3.50). A four-group comparison based on insomnia status and high/low rumination revealed that pregnant women with insomnia and high rumination endorsed higher rates of depression (35.6%) and suicidal ideation (17.3%) than good-sleeping women with low rumination (1.2% depressed, 4.9% suicidal). Women with insomnia alone (depression: 3.9%, suicidal: 5.9%) or high rumination alone (depression: 10.7%, suicidal: 7.1%) did not differ from good-sleeping women with low rumination.

CONCLUSIONS

High rumination and insomnia are highly common in mid-to-late pregnancy and both are associated with depression and suicidal ideation. Depression and suicidal ideation are most prevalent in pregnant women with both insomnia and high rumination. CLINICALTRIALS.

GOV IDENTIFIER

NCT03596879.