A Systematic Review Assessing Bidirectionality between Sleep Disturbances, Anxiety, and Depression

Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis

BACKGROUND

There is a strong link between sleep and major depression; however, the causal relationship remains unclear. In particular, it is unknown whether changes in depression core symptoms precede or follow changes in sleep, and whether a longer or shorter sleep duration is related to improvements of depression core symptoms.

OBJECTIVE

The aim of this study was to investigate temporal associations between sleep and depression in patients suffering from major depressive disorder using an idiographic research approach.

METHODS

Time-series data of daily sleep assessments (time in bed and total sleep time) and self-rated depression core symptoms for an average of 173 days per patient were analyzed in 22 patients diagnosed with recurrent major depressive disorder using a vector autoregression model. Granger causality tests were conducted to test for possible causality. Impulse response analysis and forecast error variance decomposition were performed to quantify the temporal mutual impact of sleep and depression.

RESULTS

Overall, 11 positive and 5 negative associations were identified between time in bed/total sleep time and depression core symptoms. Granger analysis showed that time in bed/total sleep time caused depression core symptoms in 9 associations, whereas this temporal order was reversed for the other 7 associations. Most of the variance (10%) concerning depression core symptoms could be explained by time in bed. Changes in sleep or depressive symptoms of 1 SD had the greatest impact on the other variable in the following 2 to 4 days.

CONCLUSIONS

Longer rather than shorter bedtimes were associated with more depression core symptoms. However, the temporal orders of the associations were heterogeneous.

Relationship between insomnia and depression in a community sample depends on habitual sleep duration

Sleep disturbances, such as short sleep duration and insomnia, are core features of depression. However, it is unclear if sleep duration and insomnia have an interactive effect on depression severity or individual symptoms. Data were drawn from a community sample (N = 1007) containing responses on the Insomnia Severity Index, Patient Health Questionnaire-9 (PHQ-9), and average sleep duration. Regression analyses determined the prevalence risks (PR) of symptoms of depression based on insomnia severity and sleep duration. Depression severity was related to insomnia severity (PR 1.09, p < 0.001) and short sleep duration (PR 1.52, p < 0.001), but the interaction between the two was negative (PR 0.97, p < 0.001). Insomnia severity increased the prevalence risk of all individual depression symptoms between 8 and 15%, while sleep duration increased the prevalence risk of appetite dysregulation (PR 1.86, p < 0.001), fatigue (PR 1.51, p < 0.001), difficulty concentrating (PR 1.61, p = 0.003), feelings of failure (PR 1.58, p = 0.002), and suicidal behavior (PR 2.54, p = 0.01). The interaction of sleep duration and insomnia was negative and ranged between 3 and 6%. In clinically significant depression (PHQ >=10), only insomnia severity increased the prevalence risk of depression severity (PR 1.02, p = 0.001). Insomnia and short sleep predict prevalent depression, but their interactive effect was negative. Thus, while insomnia had a greater association with depression severity and symptoms, this association was dependent on habitual sleep duration.

Sex-specific associations between sleep and mental health in university students: a large cross-sectional study

Objective: To examine the associations between sleep problems and mental health dimensions in university students, and the effect of sex on these associations. Participants: Self-reported survey data from 3,483 students aged 18-30 years was drawn from a larger web-based study (i-Share) conducted in France in the years 2013-2017. Methods: We performed logistic regression analyses stratified by sex using insufficient sleep duration, poor sleep quality, difficulty initiating sleep and excessive daytime sleepiness, in relation with stress, self-esteem, depression and anxiety. Results: All sleep problems were strongly associated with all mental health dimensions, particularly anxiety, in female students. Sleep and mental health problems were also associated in male students, with the exception of low self-esteem, but odds ratios were lower than for female students. Conclusions: Present findings warrant attention to propose early interventions targeting sleep and mental health in the university setting taking sex into account.

Factors associated with the sleep of carers: A survey of New Zealanders supporting a family member with cognitive impairment or dementia

Sleep is important for healthy ageing. Data are limited concerning the sleep and health of New Zealand families affected by cognitive impairment or dementia. This postal survey asked about the sleep of 526 family carers and explored predictors of, and outcomes associated with poorer sleep. Linear and binominal logistic regression were used to identify independent predictors and outcomes of carers' sleep status. Using the Insomnia Severity Index, 23.5% of carers scored in the moderate-severe range and 43.0% in the mild range for sleep disturbance. More than a quarter indicated that their family member had difficulties falling asleep, getting up during the night, or waking too early. Over half of care recipients were considered to sleep too much during the day. Independent predictors for carers' reporting greater sleep disturbance included being female, caregiving at night, poorer self-rated health, and the care recipient having more disturbed sleep. Moderate-severe sleep disturbance was independently associated with poorer self-rated health and living standards, use of sleeping medications, as well as considering transitioning their family member into formal care within the year. These findings have implications for the wellbeing and trajectory of family carers as well as for health and aged care services.

Cohort profile: the Brain and Mind Centre Optymise cohort: tracking multidimensional outcomes in young people presenting for mental healthcare

PURPOSE

The Brain and Mind Centre (BMC) Optymise cohort assesses multiple clinical and functional domains longitudinally in young people presenting for mental health care and treatment. Longitudinal tracking of this cohort will allow investigation of the relationships between multiple outcome domains across the course of care. Subsets of Optymise have completed detailed neuropsychological and neurobiological assessments, permitting investigation of associations between these measures and longitudinal course.

PARTICIPANTS

Young people (aged 12-30) presenting to clinics coordinated by the BMC were recruited to a research register (n=6743) progressively between June 2008 and July 2018. To date, 2767 individuals have been included in Optymise based on the availability of at least one detailed clinical assessment.

MEASURES

Trained researchers use a clinical research proforma to extract key data from clinical files to detail social and occupational functioning, clinical presentation, self-harm and suicidal thoughts and behaviours, alcohol and other substance use, physical health comorbidities, personal and family history of mental illness, and treatment utilisation at the following time points: baseline, 3, 6, 12, 24, 36, 48, and 60 months, and time last seen.

FINDINGS TO DATE

There is moderate to substantial agreement between raters for data collected via the proforma. While wide variations in individual illness course are clear, social and occupational outcomes suggest that the majority of cohort members show no improvement in functioning over time. Differential rates of longitudinal transition are reported between early and late stages of illness, with a number of baseline factors associated with these transitions. Furthermore, there are longitudinal associations between prior suicide attempts and inferior clinical and functional outcomes.

FUTURE PLANS

Future reports will detail the longitudinal course of each outcome domain and examine multidirectional relationships between these domains both cross-sectionally and longitudinally, and explore in subsets the associations between detailed neurobiological measures and clinical, social and functional outcomes.

Association of sleep quality with telomere length, a marker of cellular aging: A retrospective cohort study of older adults in the United States

BACKGROUND

Sleep quality is a risk factor for age-related diseases, and although the underlying mechanisms remain unclear, the effects of poor sleep quality on telomere length (TL) may play a role.

OBJECTIVE

The objective of the study was to evaluate the independent association between sleep quality and salivary TL in a large sample of older adults.

DESIGN

We adopted a retrospective cohort design, and participants comprised 5,268 adults drawn from the Health and Retirement Study. We used the 2006 (baseline) and 2008 (follow-up) waves. Baseline sleep quality was assessed using 4 Likert scale questions (trouble falling asleep, waking up during the night, waking up too early and not being able to fall sleep again, and feeling well rested in the morning). The TL was assessed using the T/S ratio, a continuous variable. The associations between sleep quality and T/S were assessed using multivariable ordinary least squares regressions. All analyses were adjusted for demographics, lifestyle characteristics, psychosocial, and other factors.

RESULTS

Overall, 16% reported never feeling well rested in the morning; 25.7% of respondents always had trouble waking during the night; and 12.8% always had trouble waking up too early in the morning. Respondents who never felt rested in the morning had significantly shorter TL than those who always felt rested in the morning (adjusted beta = -0.08, standard error = 0.03, P < .01). The composite sleep measure was not significantly associated with shorter TL.

CONCLUSIONS

In this cohort of older adults, not feeling well rested in the morning was significantly and inversely associated with TL; however, the composite measure of sleep quality was not significantly associated with TL. These findings suggest a potential connection between one of the measures of impaired sleep and reduction in TL, a marker of cellular aging that has been linked to multiple chronic conditions.

Fighting fatigue: A conceptual model of driver sleep in the gig economy

The purpose of this paper was to integrate the sleep science, occupational health, and organizational psychology literature to develop a conceptual model of driver sleep and fatigue in the gig economy. We develop an integrative framework, which proposes that aspects of the on-demand driving context influence driver sleep health and fatigue. Driver outcomes include safety incidents, injuries, health, job attitudes, interpersonal behavior, and performance. In addition, moderators, such as driver demographics and health conditions, can interact with aspects of the driver context. A number of practical implications are provided, addressing the ways in which occupational health researchers, online labor platform companies, and drivers can improve sleep health. This is the first paper to provide a broad understanding of how scientists, through both research and practice, can help improve sleep, a primary issue in the ridesharing industry.

Associations of self-reported physical activity and anxiety symptoms and status among 7,874 Irish adults across harmonised datasets: a DEDIPAC-study

BACKGROUND

Anxiety is an adaptive response to an objective or perceived threat; however, when symptoms become severe and chronic it that can become a maladaptive anxiety disorder. Limited evidence suggests that physical activity may be associated with prevention against anxiety. This study uses data from The Irish Longitudinal Study on Ageing (TILDA) and The Mitchelstown Cohort Study to investigate cross-sectional associations between physical activity and anxiety symptoms and status among Irish adults.

METHODS

Both datasets were harmonized (n = 7874). The short form International Physical Activity Questionnaire measured physical activity. Participants were classified as meeting World Health Organization physical activity guidelines (≥150 min weekly of moderate intensity physical activity, ≥75 min weekly of vigorous intensity physical activity, or ≥ 600 MET-minutes) or not. They were also divided into three groups based on weekly MET-minutes of moderate-to-vigorous physical activity (Low: 0-599; Moderate: 600-1199; High: ≥1200), and three groups based on weekly minutes of walking (Low: 0-209; Moderate: 210-419; High: 420+). Anxiety symptoms were measured by the Hospital Anxiety and Depression Scale with a score of ≥8 indicating anxiety. Binomial logistic regression, adjusted for relevant confounders examined physical activity-anxiety associations.

RESULTS

Females had higher rates of anxiety than males (28.0% vs 20.0%; p < 0.001). Following adjustment for relevant covariates, meeting physical activity guidelines was associated with 13.5% (95% CI: 2.0-23.7; p = 0.023) lower odds of anxiety. Moderate and High physical activity were associated with 13.5% (- 11.0-32.6; p = 0.254) and 13.6% (1.4-4.2; p = 0.030) lower odds of anxiety compared to Low physical activity, respectively. Moderate and High walking were associated with 2.1% (- 14.5-16.3; p = 0.789) and 5.1% (- 9.3-17.6; p = 0.467) lower odds of anxiety compared to Low walking, respectively.

CONCLUSION

Meeting physical activity guidelines is associated with lower odds of anxiety, but the strength of associations did not increase considerably with increased physical activity levels.

Social Capital and Sleep Quality in Individuals Who Self-Isolated for 14 Days During the Coronavirus Disease 2019 (COVID-19) Outbreak in January 2020 in China

Background

From the end of December 2019, coronavirus disease 2019 (COVID-19) began to spread in central China. Social capital is a measure of social trust, belonging, and participation. This study aimed to investigate the effects of social capital on sleep quality and the mechanisms involved in people who self-isolated at home for 14 days in January 2020 during the COVID-19 epidemic in central China.

Methods

Individuals (n=170) who self-isolated at home for 14 days in central China, completed self-reported questionnaires on the third day of isolation. Individual social capital was assessed using the Personal Social Capital Scale 16 (PSCI-16) questionnaire. Anxiety was assessed using the Self-Rating Anxiety Scale (SAS) questionnaire, stress was assessed using the Stanford Acute Stress Reaction (SASR) questionnaire, and sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Path analysis was performed to evaluate the relationships between a dependent variable (social capital) and two or more independent variables, using Pearson’s correlation analysis and structural equation modeling (SEM).

Results

Low levels of social capital were associated with increased levels of anxiety and stress, but increased levels of social capital were positively associated with increased quality of sleep. Anxiety was associated with stress and reduced sleep quality, and the combination of anxiety and stress reduced the positive effects of social capital on sleep quality.

Conclusion

During a period of individual self-isolation during the COVID-19 virus epidemic in central China, increased social capital improved sleep quality by reducing anxiety and stress.

Prospective relationships of mentally passive sedentary behaviors with depression: Mediation by sleep problems

BACKGROUND

As distinct from mentally-active sedentary behaviors (e.g. reading), passive sedentary behaviors (e.g. TV-viewing) have been linked to a higher risk of depression, but the underlying mechanisms are unclear. We examined the potential mediating role of sleep problems in prospective relationships of passive sedentary behaviors with major depressive disorder (MDD).

METHOD

In 1997, 43 863 adults were surveyed and responses linked to clinician diagnoses of MDD until 2010. The questionnaire included items on sedentary behavior and sleep problems (Karolinska Sleep Questionnaire). Cox proportional hazard models and the 'counterfactual approach' were used to identify potential mediating effects of sleep problems in the association of passive sedentary behavior and MDD.

RESULTS

Of the total sample, 3,065 (7.6%) were excluded for having indications of depression at baseline. Of 33,116 participants with complete data (mean age = 51.3 years, SD = 15.7, 64% female); 472 (1.4%) incident cases of MDD were identified during the 13-year follow-up. In Cox regression analyses, higher durations of passive sedentary behavior (≥3 h/day versus <3 h/day) were associated with greater hazards of developing MDD (HR = 1.27; 95% CI = 1.01, 1.58). This relationship remained after adjusting for confounders (HR = 1.29; 95% CI = 1.03, 1.63). Adding sleep problems into the analysis significantly attenuated these relationships (HR = 1.25; 95% CI = 0.99, 1.57). The excess MDD relative risk of passive sedentary behaviors due to sleep problems was statistically significant.

LIMITATIONS

Measures of sedentary behavior, physical activity and sleep were self-reported.

CONCLUSION

Sleep problems appear to mediate detrimental associations of passive sedentary behavior with depression. Findings require further confirmation using objective measures.

The development of a theoretically derived measure exploring extreme appraisals of sleep in bipolar disorder: a Delphi study with professionals

BACKGROUND

Sleep and mood are known to be linked and this is particularly evident in people with a diagnosis of bipolar disorder (BD). It has been proposed that psychological interventions improving sleep can be a pathway for improving mood. In order for a psychological sleep intervention to be appropriate, the common cognitive processes maintaining the range of sleep disturbances need to be investigated.

AIM

This study aimed to explore and identify expert consensus on positive and negative sleep appraisals in the context of low and high mood states, using the Integrative Cognitive Model as a theoretical guide.

METHOD

A Delphi approach was utilized to allow clinical and research professionals, with experience in the field of BD, to be anonymously consulted about their views on sleep appraisals. These experts were invited to participate in up to three rounds of producing and rating statements that represented positive and negative sleep appraisals.

RESULTS

A total of 38 statements were developed and rated, resulting in a final list of 19 statements that were rated as 'essential' or 'important' by >80% of the participants. These statements represent the full range of extreme sleep appraisals this study had set out to explore, confirming the importance of better understanding and identifying positive and negative sleep cognitions in the context of high and low mood.

CONCLUSION

The statements reviewed in this study will be used to inform the development of a sleep cognition measure that may be useful in cognitive therapy addressing sleep disturbances experienced along the bipolar spectrum.

Epidemiological differences in levels of depressive signs among nocturnal symptoms of insomnia; results from the HUNT study

Background

Insomnia is a sleep disorder characterized by multiple nocturnal symptoms (sleep onset, maintenance and terminal insomnia). However, these symptoms are assumed to have the same weight in the diagnosis and consequences of insomnia. In particular, little is known regarding whether these nocturnal symptoms are equally related to depression. In this study, we compared level of depressive signs among individuals reporting different patterns of nocturnal symptoms of insomnia.

Methods

We used data from the large population-based HUNT3 study. The final sample included 7933 individuals (4317 cases, 3616 controls). Signs of depression were measured using the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D), while the three nocturnal symptoms of insomnia were assessed using a Likert-like scale (“Never”, “Sometimes”, “Several times a week”). Individuals reporting to experience at least one symptom of insomnia “Several times a week” were grouped according to their pattern of reported symptoms and their HADS-D levels compared.

Results

Participants reporting sleep onset insomnia combined with terminal insomnia had the highest depression score (M = 5.4, SD = 3.4), but reporting maintenance insomnia in addition does not increase the HADS-D scores any further (M = 5.2, SD = 3.6). Accordingly, sleep maintenance insomnia alone had the lowest score (M = 3.4, SD = 2.9).

Conclusions

We found several differences among patterns of symptoms of insomnia but not all of them are clinically relevant. Further studies in clinical samples may help reveal relevant differences among patterns of symptoms, which may aid in refining interventions for concomitant depression and insomnia.

The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China

Background

Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China.

Material/Methods

A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson’s correlation analysis and SEM identified the interactions between these factors.

Results

Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality.

Conclusions

SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.

Sleep in the Natural Environment: A Pilot Study

Sleep quality has been directly linked to cognitive function, quality of life, and a variety of serious diseases across many clinical domains. Standard methods for assessing sleep involve overnight studies in hospital settings, which are uncomfortable, expensive, not representative of real sleep, and difficult to conduct on a large scale. Recently, numerous commercial digital devices have been developed that record physiological data, such as movement, heart rate, and respiratory rate, which can act as a proxy for sleep quality in lieu of standard electroencephalogram recording equipment. The sleep-related output metrics from these devices include sleep staging and total sleep duration and are derived via proprietary algorithms that utilize a variety of these physiological recordings. Each device company makes different claims of accuracy and measures different features of sleep quality, and it is still unknown how well these devices correlate with one another and perform in a research setting. In this pilot study of 21 participants, we investigated whether sleep metric outputs from self-reported sleep metrics (SRSMs) and four sensors, specifically Fitbit Surge (a smart watch), Withings Aura (a sensor pad that is placed under a mattress), Hexoskin (a smart shirt), and Oura Ring (a smart ring), were related to known cognitive and psychological metrics, including the n-back test and Pittsburgh Sleep Quality Index (PSQI). We analyzed correlation between multiple device-related sleep metrics. Furthermore, we investigated relationships between these sleep metrics and cognitive scores across different timepoints and SRSM through univariate linear regressions. We found that correlations for sleep metrics between the devices across the sleep cycle were almost uniformly low, but still significant (p < 0.05). For cognitive scores, we found the Withings latency was statistically significant for afternoon and evening timepoints at p = 0.016 and p = 0.013. We did not find any significant associations between SRSMs and PSQI or cognitive scores. Additionally, Oura Ring’s total sleep duration and efficiency in relation to the PSQI measure was statistically significant at p = 0.004 and p = 0.033, respectively. These findings can hopefully be used to guide future sensor-based sleep research.

Relationship between resilience and insomnia among the middle-aged and elderly: mediating role of maladaptive emotion regulation strategies

This study aimed to investigate the relationships between cognitive emotion regulation (CER) strategies, resilience, and insomnia and the underlying mechanism that explains the relationships. Six hundred and fifty-three middle-aged and old people recruited from community service centers in Henan province completed questionnaires related to CER strategies, resilience, and insomnia. Results showed refocus on planning and positive reappraisal negatively predicted insomnia, and catastrophising, rumination and self-blame positively predicted insomnia. Moreover, maladaptive emotion regulation strategies (especially catastrophising) mediated the relationship between resilience and insomnia. The findings suggest the middle-aged and elderly with insomnia tended to employ maladaptive emotion regulation strategies and had lower resilience. Maladaptive emotion regulation strategies buffered the positive effect of resilience on sleep.

Bidirectional Relationship of Sleep with Emotional and Behavioral Difficulties: A Five-year Follow-up of Finnish Adolescents

The long-term effects of sleep on adolescent psychosocial well-being are mostly unknown, although insufficient sleep has been associated with emotional and behavioral difficulties in cross-sectional studies. With a five-year follow-up of Finnish adolescents (Time 1: n = 8834; Mean age = 13 years, 51.1% female, Time 2: n = 5315, Mean age = 15 years, 51.6% female, Time 3: n = 3712; Mean age = 17 years; 50.2% female), the purpose of this longitudinal study was to investigate the relations between self-reported sleep duration, sleep problems, and emotional and behavioral difficulties during adolescence. Emotional and behavioral difficulties were assessed using The Strengths and Difficulties Questionnaire (SDQ) measuring emotional symptoms, conduct problems, hyperactivity, peer problems and total difficulties. Sleep duration was calculated by counting the hours between self-reported bedtime and wake-up time. Sleep problems were assessed with a single question about the general sleep problems. According to the cross-lagged models for sleep and emotional and behavioral difficulties, the findings of this study indicate a developmental process during adolescence where, firstly, short sleep duration is a stronger predictor for current and prospective emotional and behavioral difficulties than vice versa. Secondly, increased emotional and behavioral difficulties expose adolescents to current and later sleep problems more strongly than reverse. Thus, the results show that short sleep duration predisposed to emotional and behavioral difficulties across adolescence, which then led to more prospective sleep problems. These findings suggest a developmental process where sleep and emotional and behavioral difficulties are intertwined in shaping adolescents' health.

The Barcelona Brain Health Initiative: Cohort description and first follow-up

The Barcelona Brain Health Initiative is a longitudinal cohort study that began in 2017 and aims to understand and characterize the determinants of brain health maintenance in middle aged adults. A cohort of 4686 individuals between the ages of 40 and 65 years free from any neurological or psychiatric diseases was established, and we collected extensive demographic, socio-economic information along with measures of self-perceived health and lifestyles (general health, physical activity, cognitive activity, socialization, sleep, nutrition and vital plan). Here we report on the baseline characteristics of the participants, and the results of the one-year follow-up evaluation. Participants were mainly women, highly educated, and with better lifestyles compared with the general population. After one year 60% of participants completed the one-year follow-up, and these were older, with higher educational level and with better lifestyles in some domains. In the absence of any specific interventions to-date, these participants showed small improvements in physical activity and sleep, but decreased adherence to a Mediterranean diet. These changes were negatively associated with baseline scores, and poorer habits at baseline were predictive of an improvement in lifestyle domains. Of the 2353 participants who completed the one-year follow-up, 73 had been diagnosed with new neurological and neuropsychiatric diseases. Changes in vital plan at follow-up, as well as gender, sleep quality and sense of coherence at baseline were shown to be significant risk factors for the onset of these diagnoses. Notably, gender risk factor decreased in importance as we adjusted by sleep habits, suggesting its potential mediator effects. These findings stress the importance of healthy lifestyles in sustaining brain health, and illustrate the individual benefit that can be derived from participation in longitudinal observational studies. Modifiable lifestyles, specifically quality of sleep, may partially mediate the effect of other risk factors in the development of some neuropsychiatric conditions.

Delayed sleep timing and circadian rhythms in pregnancy and transdiagnostic symptoms associated with postpartum depression

Later sleep timing, circadian preference, and circadian rhythm timing predict worse outcomes across multiple domains, including mood disorders, substance use, impulse control, and cognitive function. Disturbed sleep is common among pregnant and postpartum women. We examined whether sleep timing during third trimester of pregnancy predicted postpartum symptoms of mania, depression, and obsessive-compulsive disorder (OCD). Fifty-one women with a previous, but not active, episode of unipolar or bipolar depression had symptoms evaluated and sleep recorded with wrist actigraphy at 33 weeks of gestation and 2, 6, and 16 weeks postpartum. Circadian phase was measured in a subset of women using salivary dim light melatonin onset (DLMO). We divided the sample into "early sleep" and "late sleep" groups using average sleep onset time at 33 weeks of gestation, defined by the median-split time of 11:27 p.m. The "late sleep" group reported significantly more manic and depressive symptoms at postpartum week 2. Longer phase angle between DLMO and sleep onset at 33 weeks was associated with more manic symptoms at postpartum week 2 and more obsessive-compulsive symptoms at week 6. Delayed sleep timing in this sample of at-risk women was associated with more symptoms of mania, depression, and OCD in the postpartum period. Sleep timing may be a modifiable risk factor for postpartum depression.

Cardiorespiratory fitness, sleep, and physiological responses to stress in women

Epidemiological studies suggest that cardiorespiratory fitness (CRfitness) is associated with reduced risk of depression and anxiety in women, however, the mechanisms by which CRfitness may be protective against the development of these disorders are less clear. Because sleep problems are associated with both a higher risk for mental illness and altered physiological responses to stress, this study investigated whether sleep quality might influence the relationship between CRfitness and physiological stress responses in women. Thirty healthy women (18-45 y) who were medication-free, with regular menstrual cycles completed: (1) enrolment visit [including the assessment of CRfitness via maximal oxygen consumption during exercise]; (2) one-week sleep monitoring period including subjective (daily sleep diaries) and objective (wrist actigraphy) sleep measures; and (3) psychosocial stressor protocol (the Trier Social Stress Test; TSST) for the collection of heart rate (HR), blood pressure (BP), and salivary cortisol stress responses. Higher CRfitness was associated with reduced wake after sleep onset (WASO) duration (r = -.38, p = 0.04), higher self-reported sleep quality (higher scores reflect poorer sleep quality; r = -.37, p = 0.05), and lower HR (r = -.43, p = 0.02) during the stressor. Higher sleep quality was associated with a lower HR during the stressor (r = .44, p = 0.01). Increased WASO duration and WASO number were associated with blunted cortisol output during the stressor (r = -.44, p = 0.02, and r = -.46, p = 0.02, respectively). Results suggest that, in women, CRfitness may be protective against the deleterious effects of stress via improved sleep quality.

Sleep Quality and Nocturnal Symptoms in a Community-Based COPD Cohort

Small studies have suggested that patients with chronic obstructive pulmonary disease (COPD) have poor sleep quality. Our aim was to examine the prevalence of subjective sleep-related complaints and predictors of poor sleep quality in a large community-based COPD cohort. We analyzed cross-sectional data on sleep questionnaire responses from the Canadian Cohort of Obstructive Lung Disease (CanCOLD) study, a population-based, prospective longitudinal cohort study across Canada. The cohort comprises a COPD group and two matched non-COPD (never-smokers and ever-smokers) groups. Sleep-related symptoms were assessed using questionnaires including Pittsburgh Sleep Quality Index (PSQI). A total score of PSQI > 5 is indicative of poor sleep quality. Health-related quality of life measures and the presence of mood disturbance were assessed using Short Form-36™ Health Survey (SF-36) multi-item questionnaires and Hospital Anxiety and Depression Scale (HADS), respectively. Predictors of poor sleep quality were analyzed using multivariable logistic regression analysis. Of the 1123 subjects, 263 were healthy controls, 323 at-risk controls, and 537 had COPD (297 had mild, 240 with moderate to severe disease). The mean PSQI score was not significantly different between groups. COPD patients with poor sleep quality had lower diffusion capacity, higher HADS anxiety and depression scores and lower SF-36 mental and physical component summary scores than COPD patients classified as good sleepers. The presence of restless legs and obstructive sleep apnea symptoms, waist circumference, predicted diffusion capacity and HADS anxiety and depression scores were identified as independent predictors of poor sleep quality.

Changes in sleep duration and 3-year risk of mild cognitive impairment in Chinese older adults

Objective: This study aimed to determine whether changes in sleep duration are associated with a higher risk of mild cognitive impairment (MCI) in older adults.

Results: By the 3-year follow-up, 592 participants developed MCI. Compared with the individuals who had an unchanged sleep duration, the odds ratio (95% confidence interval) for MCI was 1.44 (1.08-1.91) for those whose sleep duration increased by ≥2 h after multivariate adjustments. Moreover, changing from a long to moderate, but not short, sleep duration was negatively associated with the incidence of MCI (odds ratio: 0.65; 95% confidence interval, 0.45-0.93).

Conclusions: These findings suggest that increased sleep duration is associated with a higher risk of MCI in the elderly. Furthermore, a moderate duration of sleep (6-9 h) could serve as a possible strategy for prevention of MCI.

Methods: This longitudinal study was conducted with a nationally representative sample of 5419 older Chinese adults (≥65 years) from the 2008 and 2011 waves of the Chinese Longitudinal Healthy Longevity Survey. Sleep duration was assessed by a self-administered questionnaire. MCI was defined according to the Mini-Mental State Examination. An adjusted logistic regression model was used to explore the associations between changes in sleep duration and MCI.

Insomnia Symptoms and Their Association with Anxiety and Poor Sleep Hygiene Practices Among Ethiopian University Students

OBJECTIVE

There is a paucity of research evidence available regarding the impact of anxiety and sleep hygiene on insomnia and related sleep complaints among collegiate students in lower-income countries. The purpose of this study was to investigate if insomnia and insomnia-related sleep complaints are associated with anxiety, age, and sleep hygiene practices among a sample of university students in Ethiopia.

DESIGN MEASURES SETTING AND PARTICIPANTS

The participants were young adults (n=525; mean age 21.5 ± 3.0 years; mean BMI of 20.7 ± 2.7kg/m²). Young collegiate adults at Mizan-Tepi University in southwestern Ethiopia were randomly selected to participate in this cross-sectional study. The measures included the Leeds Sleep Evaluation Questionnaire-Mizan (LSEQ-M), the Generalized Anxiety Disorder-7 Scale (GAD-7), and the Sleep Hygiene Index (SHI). Descriptive statistics, binary logistic regression, and multiple linear regressions were used.

RESULTS

Insomnia was associated with young age group (≤25 years) (odds ratio (OR) = 2.20, 95% confidence interval (CI) 1.04-4.66), higher GAD-7 (anxiety) (OR = 1.05, 95% CI 1.0-1.10) and SHI (poor sleep hygiene) (OR = 1.15, 95% CI 1.05-1.26) scores. All four insomnia-related sleep complaints were associated with increasing GAD-7 scores, as well as higher SHI scores (p<0.001).

CONCLUSION

Insomnia was associated with younger age group (≤25 years), higher anxiety level, and poor sleep hygiene. Four major sleep complaints in insomnia, ie, sleep onset problems, poor sleep quality, awakening problems, and daytime disturbances, were all associated with higher anxiety levels and poor sleep hygiene.

Number of Chronic Nighttime Insomnia Symptoms and Risk of Chronic Widespread Pain and Pain-Related Disability: The HUNT Study

STUDY OBJECTIVES

To examine the association between the number of chronic nighttime insomnia symptoms and the risk of chronic widespread pain (CWP) and pain-related disability.

METHODS

A prospective study of 10,847 participants in the Norwegian HUNT Study without chronic musculoskeletal pain at baseline in 2006-2008. We used a modified Poisson regression model to estimate adjusted risk ratios (RRs) with a 95% confidence interval (CI) for CWP and pain-related disability at follow-up in 2017-2019 associated with insomnia and number of nighttime insomnia symptoms at baseline. Chronic insomnia was defined according to the current classification system and grouped into three categories based on the number of reported nighttime symptoms (ie, difficulty initiating sleep, trouble maintaining sleep and early morning awakenings).

RESULTS

Compared to the reference group of people without insomnia, people with insomnia had RRs for CWP and pain-related disability of 1.64 (1.26-2.14) and 1.63 (1.37-1.94), respectively. When people with insomnia were categorized based on the number of nighttime symptoms, people who reported one, two, or three nighttime symptoms had RRs of CWP of 1.19 (95% CI 0.80-1.78), 1.78 (95 CI 1.13-2.80) and 3.08 (95% CI 1.93-4.92), respectively, compared to people without insomnia. The corresponding RRs for pain-related disability were 1.49 (95% CI 1.17-1.89), 1.46 (95% CI 2.04-2.05), and 2.46 (95% CI 1.76-3.42).

CONCLUSION

These findings indicate that people with insomnia characterized by symptoms in all phases of the sleep period have a substantially increased risk of CWP and pain-related disability.

Fear of Missing Out and Smartphone Addiction Mediates the Relationship Between Positive and Negative Affect and Sleep Quality Among Chinese University Students

BACKGROUND AND AIMS

The widespread use of social media on smartphones has lead to the fear of missing out (FoMO) and smartphone addiction among a minority of adolescents and adults. However, few studies have investigated the impact of trait affect on sleep quality via FoMO and smartphone addiction. The present study examined whether FoMO (trait-FoMO and state-FoMO) and smartphone addiction mediated the relationship between positive affect (PA)/negative affect (NA) and sleep quality, and the prevalence of sleep disturbance among Chinese university students.

METHODS

The sample comprised 1,164 university students and they completed a survey which included the Chinese Trait-State Fear of Missing Out Scale (T-SFoMOS-C), Mobile Phone Addiction Index (MPAI), International Positive and Negative Affect Scale Short-Form (I-PANAS-SF), and the Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The prevalence of sleep disturbance was found to be 15.98% among Chinese university students. The serial multiple mediation effects indicated that PA directly impacted on sleep quality, but the mediation effects of trait-FoMO and state-FoMO were not found. NA impacted on sleep quality via the mediation effects of trait-FoMO/state-FoMO and smartphone addiction.

CONCLUSION

Negative affect was positively associated with poor sleep quality, which was partially mediated by FoMO and smartphone addiction among Chinese university students. Individuals with high negative affect were more likely to have high levels of FoMO and were more prone to smartphone addiction as well as experiencing poor sleep quality. These findings provide an evidence base for emotion management, prevention of smartphone addiction, and sleep improvement.

Sleep Disturbance and Psychological Profiles of Medical Staff and Non-Medical Staff During the Early Outbreak of COVID-19 in Hubei Province, China

OBJECTIVE

The outbreak of coronavirus disease 2019 (COVID-19) has considerably burdened the healthcare system in the Hubei Province, the most severely affected region in China. The aim of our study was to assess the psychological effects of COVID-19 epidemic on the healthcare workers in Hubei.

METHODS

A total of 2737 healthcare workers were sampled using a two-dimensional code shared online between Mar 4 and Mar 9, 2020. The questionnaires consisted of three elements: baseline characteristics, Pittsburgh Sleep Quality Index (PSQI), and Hospital Anxiety and Depression Scale (HADS). The primary outcome variables were PQSI, anxiety and depression scores of non-medical staff, non-frontline medical staff and frontline medical staff. Binary logistical regression analyses were used to compare between respondents with and without sleep disturbance.

RESULTS

About 61.6% of the respondents reported sleep problems, 22.6% experienced anxiety, and 35% exhibited depressive symptoms. The prevalence of sleep disorders was higher among the frontline healthcare workers compared to the non-frontline and non-medical staff, while anxiety and depression were prevalent in the entire cohort. Logistic regression analysis identified medical occupation, family burden, bereavement, anxiety, and depression as significantly predictive of poor sleep quality.

CONCLUSIONS

Frontline medical staff are more vulnerable to sleep disturbances. Psychosocial interventions are needed to help allied healthcare personnel to better respond to COVID-19 and future outbreaks.

Changes in Sleep Quality and Associated Health Outcomes among Gay and Bisexual Men Living with HIV

Objectives/Background: Although gay, bisexual, and other men who have sex with men (GBMSM) bear a disproportionate burden of HIV in the U.S., they are underrepresented in HIV-related sleep research. This study sought to (a) investigate changes in self-reported sleep quality among a sample of GBMSM living with HIV during participation in an online sexual risk reduction intervention and (b) examine whether changes in sleep quality predicted later health outcomes.Method/Participants: Men (n = 505) completed measures of sleep quality, psychological distress, condom use self-efficacy, and antiretroviral therapy (ART) adherence. Analyses focused on data obtained from participants as part of the eligibility survey, baseline assessment, and the 9- and 12-month follow-up assessments.Results: Most participants did not report changes in their sleep quality (i.e., 50.1% maintained good sleep quality, 22.8% maintained poor sleep quality) between study screening and 9-month follow-up. Nevertheless, 17.0% indicated improved sleep quality and 10.1% indicated a negative change in sleep quality. Compared to those who maintained good sleep quality during the study, men whose sleep quality declined by 9 months reported significantly greater symptoms of depression and anxiety, as well as lower ART adherence and condom use self-efficacy at 12 months. Similarly, men who maintained poor sleep quality reported greater symptoms of depression and anxiety at 12 months. Men whose sleep quality improved reported better mental health than those with poor or worsening sleep quality.Conclusions: Findings suggest that optimizing sleep health should be prioritized in interventions aimed at improving overall well-being of GBMSM living with HIV.

Cross-Sectional Survey of Sleep Practices of Australian University Students

Sleep insufficiency is often associated with the life of a university student, yet it is well known that inadequate sleep can have a negative impact on physical and mental health and be detrimental to cognitive skills for learning. The aim of this study was to replicate a Canadian study to survey university student sleep practices, the way in which students address any sleep issues, and the students' preferred method to receive targeted sleep information.

METHODS

An anonymous on-line survey was promoted to all enrolled students at one Australian University in August 2017.

RESULTS

In total, 601 students responded to the survey. One third indicated that they had insufficient sleep (less than 6.5 hrs). Almost two thirds reported a perception of not getting sufficient sleep. There was a significant association between the reported number of sleep hours, and the perception of high-quality sleep. Strategies to get to sleep included the use of social media which is counter to best practice in sleep hygiene.

CONCLUSION

The study supports the need for education about sleep health coupled with stress management to better the demands of student life.

Insomnia Symptoms and Mood Disturbances in Shift Workers with Different Chronotypes and Working Schedules

Background and Purpose

Shift workers frequently suffer from insomnia and mood disturbances, but little is known about the relationships of these conditions with the chronotypes and different working schedules of shift workers. We hypothesized that different shift-work schedules are associated with different severities of sleep and mood disturbances, and that the individual chronotype plays a role in sleep disturbances in shift workers.

Methods

This study enrolled 276 participants, comprising 77 nurses working in a three-shift schedule (3S, 27.9%), 60 firefighters working in a 24-h-every-other-day shift schedule (EOD, 21.7%), and 139 day workers (DW, 50.4%). All of the participants completed the following questionnaires to assess their sleep disturbances, mood, and chronotype: Insomnia Severity Index (ISI), Epworth Sleepiness Scale, Hospital Anxiety and Depression Scale, and Morningness-Eveningness Questionnaire.

Results

ISI questionnaires were worse in both shift workers compare to DW, 35.1% of 3S, 23% of EOD had clinically significant insomnia (ISI score >14). Depressive mood and anxiety symptom were significantly worse in 3S compare to EOD. The sleep disturbance by ISI score had significant correlations with depressive mood and anxiety symptoms for both EOD and 3S (EOD: rho=0.57, rho=0.57, 3S: rho=0.37, rho=0.33 respectively). Chronotype type in shift workers had no significant correlation with sleep disturbance, depressive mood, nor anxiety symptom. However, after adjustment, the eveningness chronotype have relationship to the depressive mood in shift workers.

Conclusions

Sleep disturbances are more frequent in shift workers than DW. Depressive mood and anxiety symptoms were frequently reported in 3S, then EOD. Different shift schedules cab be a determinant of depressive mood and anxiety symptom.

Food Insecurity is Associated with Objectively Measured Sleep Problems

Objective/Background: Food Insecurity (FI) can be a profound source of stress, which may increase the risk for sleep disturbance. This is the first study to examine the association between FI and objectively and subjectively measured sleep. Participants: The sample included 785 adults living in two low-income neighborhoods (mean age = 56; 95% African American). Methods: FI was measured using a validated 10-item survey that assesses conditions and behaviors that characterize households when they lack financial resources to meet basic food needs. Sleep duration, efficiency, wakefulness after sleep onset (WASO), and variability in sleep duration were measured via actigraphy. Sleep quality was assessed via sleep diary. Sleep outcomes were analyzed as a function of FI, adjusting for covariates. Psychological distress was tested as a potential mediator. Results: Greater FI was associated with shorter actigraphy-assessed sleep duration (B = -2.44; SE = 1.24; i.e., 24 minutes shorter for the most as compared to least insecure group), poorer sleep efficiency (B = -.27; SE = .13); p's < .05), and poorer subjective sleep quality (B = -.03; SE = .01; p < .01). Greater FI was also associated with greater likelihood of short (<7 hours; OR = 1.11; CI: 1.02-1.21) and long sleep (>9 hours; OR = 1.19; CI: 1.01-1.39), compared to the recommended sleep duration of 7-9 hours. Psychological distress partially mediated the association between FI and subjective sleep quality. Conclusions: Addressing or mitigating food insecurity may present a novel opportunity for improving sleep health among low-income populations.

A moderated mediation model of the link between counterfactual processing at bedtime and insomnia diagnosis: The role of depressive symptoms and nocturnal maladaptive strategies of mental control

This study investigated the relationship between bedtime counterfactual thoughts, depressive symptoms, nocturnal counterproductive thought-control strategies and insomnia disorder. Six hundred and fifty adults from the general population were recruited and provided data on their counterfactual thoughts' frequency at bedtime, depressive symptoms and use of nocturnal maladaptive strategies of thought control. In addition, all participants followed a face-to-face clinical interview for the diagnosis of insomnia disorder. A model positing moderated mediation was tested using conditional process modelling. Overall, 19% of participants met diagnostic criteria for a chronic insomnia diagnosis. Bootstrapped mediation analyses indicated that the association of bedtime counterfactual processing and insomnia diagnosis is mediated by depressive symptoms (B = 0.035, SE = 0.007, bootstrapped 95% CI = 0.023, 0.051). Furthermore, the effects of such a mediation model were significantly larger among individuals with high levels of aggressive suppression than those with low levels of aggressive suppression (B = 0.002, SE = 0.001, bootstrapped 95% CI = 0.001, 0.004). A second model in which a worry strategy moderates the relationship between bedtime counterfactual processing and depressive symptoms was not statistically significant (B = 0.0036, SE = 0.013, p = .78). The present study adds to the literature on the importance of self-attacking thoughts and negative affects at bedtime. We recommend the evaluation of the impact of adding self-attacks management strategies to cognitive behavior therapy for individuals with an insomnia disorder.

Self-reported insomnia as a marker for anxiety and depression among migraineurs: a population-based cross-sectional study

Anxiety, depression, and insomnia are highly prevalent among migraineurs and are associated with negative health consequences. Anxiety and depression, however, unlike insomnia, are usually underdiagnosed, due to less self-reporting of these two conditions. The aim of the present study was to evaluate the risk of anxiety and depression in migraineurs with self-reported insomnia, using a general population-based sample. We used data from a nationwide population-based survey on headache and sleep, the Korean Headache-Sleep Study. Of all 2,695 participants, 143 (5.3%), 268 (10.0%), 116 (4.3%), and 290 (10.8%) were classified as having migraine, anxiety, depression, and self-reported insomnia, respectively. The risk of anxiety (odds ratio [OR] = 7.0, 95% confidence interval [CI] = 3.0–16.7) and depression (OR = 3.3, 95% CI = 1.3–8.5) was significantly increased in migraineurs with self-reported insomnia. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for anxiety in migraineurs with self-reported insomnia were 46.5%, 89.0%, 64.5%, and 79.5%, respectively. For depression, the sensitivity, specificity, PPV, and NPV were 41.7%, 82.4%, 32.3%, and 87.5%, respectively. Self-reported insomnia is likely to be comorbid with anxiety and depression in migraineurs and could thus be a useful predictor of anxiety and depression in migraine.

Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population

Objectives

To estimate the relationship between sleep quality and depression, among Han and Manchu ethnicities, in a rural Chinese population.

Methods

A sample of 8,888 adults was selected using a multistage cluster and random sampling method. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed via the Center for Epidemiological Survey, Depression Scale (CES-D). Logistic regression was conducted to assess associations between sleep quality and depression.

Results

The prevalence of poor sleep quality and depression in the Manchus (20.74% and 22.65%) was significantly lower than that in the Hans (29.57% and 26.25%), respectively. Depressive participants had higher odds ratios of global and all sub PSQI elements than non-depressive participants, both among the Hans and the Manchus. Additive interactions were identified between depressive symptoms and ethnicity with global and four sub-PSQI elements, including subjective sleep quality, sleep disturbance, use of sleep medication and daytime dysfunction.

Conclusions

The findings revealed that the prevalence of poor sleep quality and depression among the Hans was greater than among the Manchus. Depression was associated with higher odds of poor sleep quality.

The effect of anticipatory stress and openness and engagement on subsequently perceived sleep quality-An Experience Sampling Method study

High stress levels can influence sleep quality negatively. If this also applies to anticipatory stress is poorly documented, however. Across insomnia severity levels, this study examined participants' evening levels of (a) anticipatory stress and (b) their skills hypothesized to downregulate the impact of stress, namely openness to internal experiences and continuous engagement in meaningful activities (openness and engagement) and their association with the quality of the subsequent night's sleep. The moderating role of insomnia severity was also tested. We used a quasi-experimental longitudinal design with Experience Sampling Method using smartphones over the course of 1 week (3,976 assessments; 93.2% of prompted queries). Participants recorded their sleep quality, anticipatory stress, and openness and engagement within their daily context. Participants included in the study were diagnosed with major depressive disorder (n = 118), social phobia (n = 47) or belonged to the control group (n = 119). Both anticipatory stress and openness and engagement predicted subsequent sleep quality. Diagnostic group was associated with overall sleep quality, but did not interact with the predictors. These findings were invariant across levels of self-reported insomnia severity. Furthermore, openness and engagement and anticipatory stress did not interact in their effect on sleep quality. The results suggest that both stress reduction and increased openness and engagement are associated with improved subjective sleep quality on a day to day basis, regardless of insomnia severity. Targeting these variables may help improve sleep quality. Future research should disentangle the effects of openness and engagement on anticipatory stress.

The Moderating Role of Sleep in the Relationship Between Social Isolation and Internalising Problems in Early Adolescence

Social isolation may be a unique risk factor for depression and anxiety in early adolescence. However, optimal sleep may protect adolescents from the emotional sequela of social isolation. The present study aimed to investigate whether sleep moderates the relationship between social isolation and symptoms of anxiety and depression in early adolescence. Five hundred and twenty eight early adolescents (M = 11.18 years, SD = 0.56, range 10-12 years, 51% male) completed online questionnaires assessing social isolation, sleep duration, daytime sleepiness and symptoms of generalised anxiety, social anxiety, separation anxiety and depression. Sleep duration moderated the effect of social isolation on symptoms of generalised anxiety, social anxiety and depression, but not separation anxiety. Daytime sleepiness emerged as an additional sleep-related risk factor in the relationship between social isolation and depressive symptoms. Therefore, sleep may be an important modifiable risk or protective factor to target, in the prevention of depression and anxiety in adolescence.

Relationship between job satisfaction and sleep quality of female shift-working nurses: using shift type as moderator variable

This study was to investigate the impact of job satisfaction as the independent variable and the type of shift as the moderator variable on the sleep quality of female shift-working nurses. The Minnesota Satisfaction Questionnaire (MSQ) short form and the Pittsburgh Sleep Quality Index (PSQI) were used as evaluation tools. The subjects in the study were female shift-working nurses from teaching hospitals in northern Taiwan. A total of 178 valid questionnaires were recovered. A hierarchical multiple regression (HMR) was used to test for the moderating effect of shift type. The results demonstrated that there was a negative correlation between the total score for general job satisfaction and the Global PSQI scores. The Global PSQI scores were higher for nurses working night shifts than for those working day and evening shifts. HMR showed significant variances in the interaction between general job satisfaction of female shift-working nurses and the day/night shift as well as the evening/night shift. The type of shift had a moderating effect on the ways in which general job satisfaction impacts sleep quality. Furthermore, the moderating effect of night shift on the impact of job satisfaction on sleep quality was weaker in nurses working the night shift.

Insomnia in personality disorders and substance use disorders

The relationship between certain personality disorders (PDs) and insomnia has been the object of few studies in recent years. Even though it is not indicated to use polysomnography to diagnose insomnia, objective measures have shown sleep abnormalities in individuals with a personality disorder and insomnia. Interestingly, there is increasing evidence that emotion dysregulation is involved in a mutually aggravating relationship between Borderline Personality Disorder (BPD) and insomnia. While BPD traits are highly associated with suicide ideation and attempts, these behaviors could be potentiated or enhanced in individuals presenting sleep disturbances. Because BPD and other mental disorders are often linked with the use of medication or other substances, it is also important to review the association between substance use disorders (SUD) and insomnia. SUD can disrupt sleep and foster insomnia, which in turn might increase motivation to use substances. Insomnia has also been shown to precede (i.e., predict) SUD, and can be present during withdrawal as well. These results highlight the need to assess and treat insomnia when working with patients who present a PD or SUD.

Changes in sleep predict changes in depressive symptoms in depressed subjects receiving vortioxetine: An open-label clinical trial

BACKGROUND

Sleep disturbances are frequently reported in patients with major depressive disorder. We aimed to investigate the effects of vortioxetine on sleep quality and association between changes in sleep and treatment response.

METHODS

This study is a post-hoc analysis of a clinical trial that sought to evaluate the sensitivity to cognitive change of THINC-integrated tool in patients with major depressive disorder. In total, 92 patients (aged 18 to 65) meeting Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for moderate or severe major depressive disorder and 54 healthy controls were included. All patients received open-label vortioxetine (10-20 mg/day, flexibly dosed) for 8 weeks. Herein, the primary outcomes of interest were changes in sleep, as measured by the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index, between weeks 0, 2, and 8. The association between changes in sleep and depressive symptom severity was secondarily assessed.

RESULTS

We observed that sleep, as indicated by scores of Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index, was significantly poorer in patients with major depressive disorder compared to healthy controls at weeks 0, 2, and 8 (p < 0.05). Among patients with major depressive disorder, we observed significant improvements on the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Insomnia Severity Index between weeks 0 and 8 (p < 0.05). We observed a significant association between improvements on the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Insomnia Severity Index and improvement of depressive symptoms.

CONCLUSION

Improvement of depressive symptoms in major depressive disorder patients treated with vortioxetine was associated with significant improvements in sleep. Furthermore, improvements in sleep were predictive of antidepressant response and were linearly correlated with improvement in overall depressive symptom severity.

Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis

Unlike other World Health Organization evidence reviews, the systematic review on mental disorders could not provide a quantitative estimate of the effect of environmental noise. With that in mind, we aimed to update it with additional studies published through to 18 August 2019 in order to allow for a formal meta-analysis of the association of residential road traffic noise with anxiety and depression. The quality effects and random effects estimators were used for meta-analysis and the robustness of findings was tested in several sensitivity analyses. Ten studies were included in the qualitative synthesis, from which we extracted 15 estimates for depression (n = 1,201,168) and five for anxiety (n = 372,079). Almost all studies were cross-sectional and the risk of bias in them was generally high. We found 4% (95% CI: -3%, 11%) higher odds of depression and 12% (95% CI: -4%, 30%) of anxiety associated with a 10 dB(A) increase in day-evening-night noise level (Lden). Both models suffered from moderate heterogeneity (55% and 54%), but there was evidence of publication bias only in the depression model. These findings were robust with no evidence of study-level moderators. A sensitivity analysis on an alternative set of categorically-reported estimates supported a linear relationship between Lden and depression. Taking into account an overall quality assessment for the included studies, we conclude that there is evidence of "very low" quality that increasing exposure to road traffic noise may be associated with depression and anxiety.

Does sleep grow on trees? A longitudinal study to investigate potential prevention of insufficient sleep with different types of urban green space

Introduction

To investigate association between urban green space and prevalent and incident cases of insufficient sleep (<6 h sleep per day).

Methods

This longitudinal study examined the odds of prevalent and incident insufficient sleep in relation to indicators of total green space, tree canopy, open grass and other low-lying vegetation in the Sax Institute's 45 and Up Study (baseline 2006–2009; follow-up 2012–2015). Association between green space within 1.6 km road distances and insufficient sleep among 38,982 participants living in Sydney, Wollongong or Newcastle were analysed using multilevel logistic regressions adjusted for confounding.

Results

Participants with more total green space had lower odds of prevalent insufficient sleep (e.g. ≥30% compared with 0-4% total green space odds ratio (OR) = 0.68, 95% credible interval (95%CI) = 0.53, 0.85). The odds of prevalent insufficient sleep were lower among participants with more tree canopy (e.g. ≥30% compared with 0-9% tree canopy OR = 0.78, 95%CI 0.69, 0.88). The odds of incident insufficient sleep were also lower with more tree canopy (e.g. ≥30% compared with 0-9% tree canopy OR = 0.87, 95%CI = 0.75, 0.99). There were no statistically significant associations between prevalent or incident insufficient sleep with open grass or other low-lying vegetation, nor incident sufficient sleep with total green space.

Conclusions

Prioritising restoration and protection of urban tree canopy may help to promote population-wide prevention of insufficient sleep in middle-to-older aged adults.

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4 cross-sectional studies have previously linked sleep duration with green space.

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This longitudinal study examined prevalence and incidence of short sleep (<6 h).

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We found lower odds of prevalent and incident short sleep with more tree canopy.

Functional linear modeling of activity data shows analgesic-mediated improved sleep in dogs with spontaneous osteoarthritis pain

In humans, pain due to osteoarthritis has been demonstrated to be associated with insomnia and sleep disturbances that affect perception of pain, productivity, and quality of life. Dogs, which develop spontaneous osteoarthritis and represent an increasingly used model for human osteoarthritis, would be expected to show similar sleep disturbances. Further, these sleep disturbances should be mitigated by analgesic therapy. Previous efforts to quantify sleep in osteoarthritic dogs using accelerometry have not demonstrated a beneficial effect of analgesic therapy; this is despite owner-reported improvements in dogs' sleep quality. However, analytic techniques for time-series accelerometry data have advanced with the development of functional linear modeling. Our aim was to apply functional linear modeling to accelerometry data from osteoarthritic dogs participating in a cross-over non-steroidal anti-inflammatory (meloxicam) drug trial. Significant differences in activity patterns were seen dogs receiving drug (meloxicam) vs. placebo, suggestive of improved nighttime resting (sleep) and increased daytime activity. These results align with owner-reported outcome assessments of sleep quality and further support dogs as an important translational model with benefits for both veterinary and human health.