Circadian rhythm abnormalities during the COVID-19 outbreak related to mental health in China: a nationwide university-based survey

Why circadian rhythmicity matters: Associations between sleep irregularity and mental health conditions during the Covid-19 health crisis

OBJECTIVE

To assess the association between sleep irregularity, anxiety, and depression while controlling for other sleep dimensions and using a longitudinal design.

METHODS

Longitudinal cohort study which started in April 2020 during the first French lockdown in the general population. Follow-up questionnaires were completed in June 2020, a period without lockdown measures. Participants were asked about their sleep (regularity, duration, timing, complaints) and their anxiety (General Anxiety Disorder-7) and depressive (Patient Health Questionnaire-9) symptoms.

RESULTS

A total of 3745 participants were included (mean age: 28.9 years) with 2945 women (78.6%). At baseline, 38.1% (1428) of participants reported irregular sleep timing, 23.8% (891) anxiety and 28.9% (1081) depressive symptoms. In cross-sectional analyses, irregular sleep timing was associated with a 2.5-fold higher likelihood of anxiety and a 4-fold higher likelihood of depressive symptoms compared to regular sleepers. Associations were not explained by the other sleep dimensions and persisted in a longitudinal analysis, with irregular sleep timing at baseline being associated with anxiety (OR = 3.27[1.58-6.76]) and depressive symptoms (OR = 3.45[1.66-7.19]) during follow-up.

CONCLUSION

The results show a strong association between sleep irregularity and mental health. Furthers studies are needed to explore how sleep regularity could promote good mental health in non-clinical populations.

The relationship between anxiety symptoms and disturbances in biological rhythms in patients with depression

BACKGROUND

Biological rhythms denote the cyclical patterns of life activities anchored to a 24-hour cycle. Research shows that depression exhibits disturbances in biological rhythms. Yet, the relationship between these biological rhythms and concomitant anxiety symptoms is insufficiently investigated in structured clinical assessments.

METHODS

This multicenter study, carried out in four Chinese hospitals, comprehensively examined the relationship between anxiety and disruptions in biological rhythms among patients with depression. The study encompassed 218 patients diagnosed with depression and 205 matched healthy controls. The Chinese version of the Biological Rhythms Interview of Assessment in Neuropsychiatry was utilized to evaluate the participants' biological rhythms, focusing on four dimensions: sleep, activity, social, and diet.

RESULTS

In patients with depression, there is a significant positive correlation between the severity of anxiety symptoms and the disturbances in biological rhythms. The severity of anxiety and depression, along with the quality of life, are independently associated with disruptions in biological rhythms. The mediation model reveals that anxiety symptoms mediate the relationship between depressive symptoms and biological rhythms.

CONCLUSION

This research highlights the role of anxiety within the spectrum of depressive disorders and the associated disturbances in biological rhythms. Our findings shed light on potential pathways towards more targeted preventive strategies and therapeutic interventions for individuals battling depression and anxiety.

From improved sleep regularity to reduced sleep complaints and mental health conditions: a population-based interventional study using a smartphone-based virtual agent

STUDY OBJECTIVES

To explore the effect of sleep regularity on sleep complaints and mental health conditions (i.e. insomnia, fatigue, anxiety, and depressive symptoms) in a population-based interventional study using a smartphone-based virtual agent.

METHODS

A populational cohort based on the Kanopée application, which provided interactions with a virtual companion to collect data on sleep and make personalized recommendations to improve sleep over 17 days. A pre-intervention sleep diary and interview were used for cross-sectional analysis (n = 2142), and a post-intervention sleep diary and interview were used for longitudinal analysis (n = 732). The intra-individual mean (IIM) and standard deviation (ISD) of total sleep time (TST) were calculated to measure sleep quantity and sleep regularity.

RESULTS

The mean age at baseline was 49 years, 65% were female, 72% reported insomnia, 58% fatigue, 36% anxiety, and 17% depressive symptoms. Before the intervention, irregular and short sleep was associated with a higher likelihood of insomnia (Relative risk [RR] = 1.26 [1.21-1.30] for irregular TST and RR = 1.19 [1.15-1.23] for short TST), fatigue, anxiety, and depressive symptoms. After the intervention, the IIM of the TST increased while the ISD of the TST and sleep complaints and mental health conditions decreased. More regular TST was associated with reduced insomnia and depressive symptoms (RR = 1.33 [1.10-1.52] and RR = 1.55 [1.13-1.98], respectively).

CONCLUSIONS

Our results reveal a longitudinal association between sleep regularity and sleep complaints and mental health conditions. Policymakers, health professionals, and the general population should be aware that, beyond its positive effect on sleep health, regular sleep could promote mental health.

University students' sleep during the COVID-19 pandemic in the State of Hawai'i

Objectives: This study assessed undergraduates' sleep in Hawai'i during the COVID-19 pandemic and whether demographic characteristics, health locus of control, substance use and campus features related to sleep outcomes. Implications are considered for programs to support students' sleep and health during pandemic conditions. Participants: About 1,288 undergraduate students from six universities in Hawai'i. Methods: Surveys assessing sleep, emotional wellbeing, ethnicity, body mass index, locus of health control, and substance use. Results: Students' reported increased sleep time but decreased sleep quality during the pandemic. Sleep disruption related to anxiety, depression, ethnicity, substance use, BMI, health locus of control, class rank, and whether students lived at home. All campuses were associated with disrupted sleep, regardless of size, location, religious affiliation, term structure, or method of instruction. Conclusions: In response to public health crises, such as the COVID-19 pandemic, all Hawai'i universities should screen students for sleep disruption, emotional adjustment, social isolation and substance misuse. Programs to promote sleep and behavioral health appear particularly warranted for graduating seniors, Pacific Islanders, students with high BMI, and students who commute to college.

How Confinement and Back to Normal Affected the Well-Being and Thus Sleep, Headaches and Temporomandibular Disorders

The COVID-19 pandemic is having negative consequences not only for people's general health but also for the masticatory system. This article aimed to assess confinement and its new normal impact on well-being, sleep, headaches, and temporomandibular disorders (TMD). An anonymous survey was distributed to a Spanish university community. Participants completed a well-being index (WHO-5), a questionnaire related to sleep quality (the BEARS test), a headache diagnostic test (the tension type headache (TTH) and migraine diagnosis test), and the DC-TMD questionnaire. Questions were addressed in three scenarios: before confinement, during confinement, and the new normal. A total of 436 responses were collected (70% women, 30% men). A reduction in well-being and sleep quality was recorded. Respondents reported more TTH and migraines during and after confinement. Overall, confinement and return to normal did not increase TMD symptoms, and only minor effects were observed, such as more intense joint pain and a higher incidence of muscle pain in women during confinement. Reduced well-being is correlated with sleep quality loss, headaches, and TMD symptoms. This study provides evidence that pandemics and confinement might have had a negative impact on population health. Well-being was strongly affected, as were sleep quality, depression risk, TTH, and migraine frequency. In contrast, the temporomandibular joint and muscles showed more resilience and were only slightly affected.

A propensity score matching study: The prevalence of mental health problems among pregnant women at first antenatal care increased in Chongqing during the first wave of the COVID-19 pandemic

Background

The 2019 coronavirus disease (COVID-19) pandemic increased the risks of mental health challenges, especially anxiety and depression. However, the impact of COVID-19 on mental health during pregnancy has not been fully established. Therefore, we investigated the impact of the COVID-19 pandemic on maternal mental health.

Methods

Two cohorts of pregnant women at their first antenatal care in the First Affiliated Hospital of Chongqing Medical University were enrolled in this study. One cohort was enrolled before the COVID-19 outbreak, from 1 June to 31 December 2019 (n = 5,728, pre-COVID-19 group), while the other was enrolled during the COVID-19 pandemic, from 24 January to 23 March 2020 (n = 739, COVID-19 pandemic group). Symptoms of depression, anxiety, and somatization disorders were assessed by the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-15 (PHQ-15), with a cutoff point of 10 for moderate-to-severe depression, anxiety, and somatoform symptoms. The propensity score matching method (1:1) was used to balance differences in demographic characteristics between groups. A chi-square analysis was performed to compare differences in demographic characteristics between the groups.

Results

Prevalence of moderate-to-severe depression, anxiety, and somatoform symptoms among pregnant women at their first antenatal care visit during the COVID-19 pandemic (9.5, 2.2, and 20.8%, respectively) was significantly lower than those before the pandemic (16.3, 4.4, and 25.7%, respectively) (p < 0.05). Compared with the same period before the pandemic, during the pandemic, the number of women newly registered for antenatal care decreased by nearly 50%. There were significant differences in the distributions of demographic characteristics between the groups (p < 0.05). After matching the demographic characteristics, differences in the prevalence of maternal mental health disorders between the groups reversed dramatically. Prevalence of moderate-to-severe depression, anxiety, and somatoform symptoms during the COVID-19 pandemic in this population (2.3, 9.6, and 20.8%, respectively) was significantly higher than those before the pandemic (0.3, 3.9, and 10%, respectively) (p < 0.05).

Conclusion

The COVID-19 pandemic increased mental health risks among pregnant women. As a large proportion of pregnant women with mental health challenges delay their prenatal care or change healthcare facilities after the outbreak of public health emergencies, there is a need to establish a balanced healthcare system in medical institutions at all levels.

People with passive sleep delay have more severe depression and sleep problems than those with active sleep delays-a cross-sectional study after the COVID-19 pandemic

Objective

This study was designed to investigate the effect of different types of sleep delay in depression and sleep characteristics after the pandemic. Meanwhile, risk factors for depression were also explored.

Methods

The survey was conducted in Wuhan from March 1 to May 30, 2021, and participants were recruited through a snowball process. A total of 1,583 people with sleep delays responded to the invitation, of which 1,296 were enrolled. Participants filled out a questionnaire including social demographics, sleep characteristics, Social Support Rating Scale (SSRS), Pittsburgh Sleep Quality Index (PSQI) and Patient Health Questionnaire-9 (PHQ-9).

Results

There were no significant differences in sex, social support and level of education between the two types of sleep delay (p = 0.961, p = 0.110, p = 0.090), but the average age of the passive sleep delay group was higher (p = 0.015). And most people with active sleep delay were caused by the use of electronic devices (73.6%), while most people with passive sleep delay were caused by work or study tasks (73.2%), with a significant difference between the two groups (p < 0.001). People who actively delayed sleep had more regular sleep (p < 0.001), better sleep quality and longer sleep duration (p < 0.001, p < 0.001). In addition, although they delayed sleep more frequently (p < 0.001), they had significantly lower depression degree than people who passively delayed sleep (p < 0.001).

Conclusions

Passive sleep delays, usually caused by work or study, has higher levels of depression and more adverse sleep behaviors than active sleep delay. The findings help further understand the effects of delayed sleep and provide insight for people with delayed sleep to evaluate their own condition. Future studies are required to standardize and accurately classify sleep delay and further explore it.

How university students changed their habits and developed mental disorders in the context of the coronavirus disease 2019 (COVID-19) pandemic in Japan: Three case reports

Background

Since the COVID-19 pandemic reached Japan in 2020, the country has faced an unprecedented increase in suicide rate and school refusal among adolescents, as well as increased rates of depression and anxiety among young people. However, the effects of the COVID-19 pandemic on adolescents in terms of changes in habits, the development of mental disorders, social isolation, and suicidal ideation remain largely unclear.

Case Presentation

We examined three cases of university students who changed their habits during the COVID-19 pandemic and developed mental disorders. All three cases had similar habitual changes, experienced loneliness, and developed depression and circadian rhythm sleep-wake disorder. Their habitual changes were delayed sleep and wake times, delayed first mealtime, a tendency to eat before sleeping, decreased social contact, increased digital media usage, and a tendency to use digital media before going to bed. We established a model of increasing mental health difficulties, school refusal, and suicidal ideation during the COVID-19 pandemic.

Conclusion

This report suggests possible approaches for preventing a decline in mental health during the COVID-19 pandemic among university students.

Coping resources mediate the prospective associations between disrupted daily routines and persistent psychiatric symptoms: A population-based cohort study

This study examined the mediating effects of coping resources in the prospective associations between daily routine disruptions in the acute phase of COVID-19 and persistent probable anxiety and depression. A prospective, population-representative cohort of 1318 Hong Kong Chinese respondents completed a baseline survey between February and July 2020 (T1) and a 1-year follow-up survey between March and August 2021 (T2). Respondents reported demographics and disruptions to primary and secondary daily routines at T1, coping resources (i.e., self-efficacy and meaning making) at T2, and anxiety and depressive symptoms at T1 and T2. We found that 8.1% and 10.0% of respondents reached cutoff scores for probable anxiety and depression respectively at both T1 and T2. Logistic regression showed that T1 daily routine disruptions were positively associated with heightened risk of persistent probable anxiety and depression amid COVID-19. Path analysis showed that 15.3% and 13.1% of the associations of daily routine disruptions with persistent probable anxiety and depression were explained by coping resources, respectively, while the direct routine-outcome associations remained significant. Daily routine disruptions predict higher odds of persistent probable anxiety and depression directly and partially through reducing coping resources. Sustainment of regular daily routines should be advocated and fostered to enhance coping resources and reduce the risk of poorer adjustment among the affected populations amid public health crises.

The Effect of Personality on Chrononutrition during the COVID-19 Lockdown in Qatar

The COVID-19 lockdown has had a significant impact on people’s lives worldwide. This study aimed to investigate the effect of personality on chrononutrition during the COVID-19 lockdown. Using a cross-sectional design, a convenient sample of 543 adults in Qatar completed an online questionnaire using validated tools to assess personality and chrononutrition behaviors during the first COVID-19 lockdown. Participants scoring high in openness were more likely to eat at night (mean difference (MD) = 0.41, 95% confidence interval (CI): 0.10, 0.72) compared to those scoring high in agreeableness, while those scoring high in extraversion and openness had a shorter eating window (MD = −76.6, 95%CI: −146.3, −6.93 and MD = −29.8, 95%CI: −56.5, −3.01, respectively). Participants high in extraversion had longer evening latency (MD = 66.3, 95%CI: 25.4, 107.3) and evening eating (MD = −62.0, 95%CI: −114.0, −9.0) compared those high in agreeableness. Participants high in conscientiousness showed evidence of first eating event misalignment during the weekend (MD = 22.0, 95%CI: 0.15, 43.9) and last eating event misalignment during weekdays (MD = −27.8, 95%CI: −47.3, −8.41) compared to those high in agreeableness. Lastly, participants high in openness showed evidence of eating window misalignment during the weekend (MD = 30.6, 95%CI: 5.01, 56.2). This study suggests that personality traits can inform personalized nutritional approaches when aiming for healthy habits during unexpected periods, such as the COVID-19 pandemic.

Sleep during "lockdown" highlighted the need to rethink the concept of weekend catch-up sleep

Purpose

Many people believe in their ability to sleep for longer time on weekends to make up for sleep lost due to early wakeups on weekdays. This widely held belief was not supported by the simulations of rise- and bedtimes on weekdays and weekends with a sleep–wake regulating model. The simulations suggested the inability to extend sleep on any of two weekend nights and they predicted identical weekend sleep durations for weeks with relatively earlier and relatively later weekday risetimes. By April 2020, about half of the world’s population was under some form of “lockdown” due to the COVID-19 pandemic. This “lockdown” provided a new opportunity to demonstrate the predictive power of the sleep–wake regulating models. Therefore, the purpose of this report was to support the prediction of identity of weekend sleep durations after weeks with earlier and later weekday wakeups.

Methods

Weekend and weekday rise- and bedtimes before and during “lockdown” for 31 samples were taken from recent journal publications. Time in bed on weekends and 12 other measures of sleep duration and timing were calculated and simulated.

Results

For only one of 13 measures, weekend time in bed, statistical analysis did not yield a statistically significant difference between the estimates obtained before and during “lockdown”. The model-based simulations pointed to the 0.3-h delay of the sleep–wake cycle in response to the 1-h delay of weekday risetime during “lockdown”.

Conclusion

The model-based prediction was confirmed, thus, highlighting again the necessity to rethink the concept of weekend catch-up sleep.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11325-021-02492-z.