The Association between Insomnia and Anxiety Symptoms in a Naturalistic Anxiety Treatment Setting

Prevalence of mental health symptoms and associated risk factors among healthcare workers in specialized COVID-19 hospitals in Anyang, China: A cross-sectional survey

Background

The novel coronavirus disease 2019 (COVID-19) pandemic spread worldwide and brought unprecedented challenges to healthcare systems. Healthcare workers experienced tremendous pressure and psychological issues.

Methods

A cross-sectional online survey was conducted from January 2022 to April 2022 among healthcare workers in Anyang, Henan Province, China. Insomnia, anxiety, depression, post-traumatic stress disorder (PTSD), and problematic internet use (PIU) were evaluated. Logistic regression analyses were used to explore the factors that were associated with mental health problems.

Results

A total of 242 participants (mean [SD] age, 34.7 [6.6] years, 187 female [77.3 %]) were included in the study. The prevalence of symptoms of insomnia, anxiety, depression, PTSD and PIU during the COVID-19 pandemic in China was 53.7 %, 100.0 %, 7.0 %, 20.3 %, and 19.4 %, respectively. Participants who smoked, used sedative-hypnotic drugs and may need psychological assistance were at a higher risk for mental health problems. Respondents who were older than 45 years and were married displayed a lower risk of insomnia and PTSD, respectively.

Conclusions

Mental health symptoms are pervasive among healthcare workers in specialized COVID-19 hospitals during the outbreak. Risk factors include smoking, sedative-hypnotic drug use, and the need for psychological assistance, while protective factors include age and marital status. Developing social media platforms and providing psychological assistance may be effective interventions for healthcare workers.

Sleep Health and Anxiety Symptoms in Midlife Women: The Study of Women's Health Across the Nation (SWAN)

Purpose

To investigate the associations between anxiety symptoms in midlife women and sleep features later in life, the aim is to test the hypothesis that poor sleep, as measured by each of six individual dimensions (4 objective actigraphy measures, 2 self-reports) of sleep health, is associated with higher levels of anxiety symptoms in midlife women.

Participants and Methods

The participants in this longitudinal analysis included women from the SWAN Sleep I Study, a subcohort of the community-dwelling midlife women participating in the core Study of Women's Health Across the Nation (SWAN), which was initiated in 1996. Of the 370 participants enrolled in the Sleep Study, 270 were included in the analytic sample, and 100 who did not meet the inclusion criteria were excluded. Baseline measures of six dimensions of multidimensional sleep health (actigraphy measures: efficiency, duration, mid-sleep timing, regularity; self-report measures: alertness, satisfaction) were obtained between 2003 and 2005, corresponding to SWAN core annual/biennial assessments 5-8. Associations of each dimension with self-reported anxiety symptoms (Generalized Anxiety Disorder - 7-item scale; GAD-7), collected during visits 12 (2009-2011), 13 (2011-2013), and 15 (2015-2017), were examined using mixed models. The GAD-7 outcome was measured both continuously and as a categorical variable due to its skewed distribution.

Results

No statistically significant associations were found between any of the six baseline sleep health dimensions and the GAD-7 score after adjustment for covariates.

Conclusion

The reasons for the lack of support for our hypothesis, despite previous evidence supporting an association between sleep and anxiety, are unclear. There is considerable overlap between anxiety and sleep symptoms, which may complicate the interpretation of our the findings. Thus, the failure to identify associations is likely multifactorial, and more studies with shorter follow-up intervals are warranted to better understand these relationships.

Feasibility and Acceptability of Using Wireless Limited Polysomnography to Capture Sleep Before, During, and After Hospitalization for Patients With Planned Cardiothoracic Surgery

BACKGROUND

Sleep disruption, a common symptom among patients requiring cardiovascular surgery, is a potential risk factor for the development of postoperative delirium. Postoperative delirium is a disorder of acute disturbances in cognition associated with prolonged hospitalization, cognitive decline, and mortality.

OBJECTIVE

The aim of this study was to evaluate the feasibility and acceptability of using polysomnography (PSG) to capture sleep in patients with scheduled cardiothoracic surgery.

METHODS

Wireless limited PSG assessed sleep at baseline (presurgery at home), postoperatively in the intensive care unit, and at home post hospital discharge. Primary outcomes were quality and completeness of PSG signals, and acceptability by participants and nursing staff.

RESULTS

Among 15 patients, PSG data were of high quality, and mean percentage of unscorable data was 5.5% ± 11.1%, 3.7% ± 5.4%, and 3.7% ± 8.4% for baseline, intensive care unit, and posthospitalization measurements, respectively. Nurses and patients found the PSG monitor acceptable.

CONCLUSIONS

Wireless, limited PSG to capture sleep across the surgical continuum was feasible, and data were of high quality. Authors of future studies will evaluate associations of sleep indices and development of postoperative delirium in this high-risk population.

Prevalence, Severity, and Predictors of Insomnia in Advanced Colorectal Cancer

CONTEXT

Insomnia is an under-recognized and undertreated symptom in palliative care and advanced cancer cohorts. Insomnia in an advanced colorectal cancer cohort is yet to be investigated despite colorectal cancer being the third commonest cancer worldwide and one with a high symptom burden.

OBJECTIVES

To examine the prevalence of insomnia and its associations in a large advanced colorectal cancer cohort.

METHODS

A consecutive cohort study of 18,302 patients with colorectal cancer seen by palliative care services across various settings (inpatient, outpatient, and ambulatory) was conducted from an Australia-wide database (2013-2019). The Symptom Assessment Score (SAS) was used to assess the severity of insomnia. Clinically significant insomnia was defined as SAS score ≥3/10, and used to compare associations with other symptoms and functional scores from validated questionnaires.

RESULTS

The prevalence of any insomnia was 50.5%, and clinically significant insomnia 35.6%, particularly affecting people who were younger (<45-years-old), more mobile (AKPS score ≥70), or physically capable (RUG-ADL score ≤5). Outpatients and patients living at home had higher prevalence of insomnia. Nausea, anorexia and psychological distress were the commonest concurrent symptoms in patients with clinically significant insomnia.

CONCLUSIONS

To our knowledge, this study was the first to investigate the prevalence and associations of insomnia in an advanced colorectal cancer cohort. Our findings demonstrate several groups at greater risk of suffering from insomnia (younger, greater physical capacity, living at home, and those with greater psychological distress). This may guide earlier recognition and management of insomnia to improve overall quality of life in this population.

The impact of sleep, physical activity and sedentary behaviour on symptoms of depression and anxiety before and during the COVID-19 pandemic in a sample of South African participants

During lockdowns associated with the COVID-19 pandemic, individuals have experienced poor sleep quality and sleep regularity, changes in lifestyle behaviours, and heightened depression and anxiety. However, the inter-relationship and relative strength of those behaviours on mental health outcomes is still unknown. We collected data between 12 May and 15 June 2020 from 1048 South African adults (age: 32.76 ± 14.43 years; n = 767 female; n = 473 students) using an online questionnaire. Using structural equation modelling, we investigated how insomnia symptoms, sleep regularity, exercise intensity/frequency and sitting/screen-use (sedentary screen-use) interacted to predict depressive and anxiety-related symptoms before and during lockdown. We also controlled for the effects of sex and student status. Irrespective of lockdown, (a) more severe symptoms of insomnia and greater sedentary screen-use predicted greater symptoms of depression and anxiety and (b) the effects of sedentary screen-use on mental health outcomes were mediated by insomnia. The effects of physical activity on mental health outcomes, however, were only significant during lockdown. Low physical activity predicted greater insomnia symptom severity, which in turn predicted increased depressive and anxiety-related symptoms. Overall, relationships between the study variables and mental health outcomes were amplified during lockdown. The findings highlight the importance of maintaining physical activity and reducing sedentary screen-use to promote better sleep and mental health.