Sleep Quality Impairment Is Associated With Pandemic Attitudes During the Coronavirus Disease 2019 (COVID-19) Circuit Breaker Lockdown in England: A Cross-Sectional Study

The Association Between Lifestyle Factors and COVID-19 Among Older Adults in Southern California: The Loma Linda Longevity Study

Amid a global aging trend, particularly notable in the U.S., there is a growing focus on achieving enhanced longevity and well-being. We evaluated the association between lifestyle factors (sleep, diet, and healthy lifestyle index) and COVID-19 infection in an older adult population in San Bernardino and Riverside counties in Southern California, the United States. A sample of 380 older adults ≥75 years old were surveyed cross-sectionally and self-reported lifestyle behaviors and COVID-19 infection. The results revealed that half the participants reported COVID-19 infection. Participants who slept less than 7 hours or more than 8 hours/night had higher odds of COVID-19 infection than those who slept 7-8 hours/night (OR = 1.62, 95% CI: 1.03, 2.55). Healthy lifestyle behaviors were significantly associated with reduced COVID-19 infection (OR = 0.61, 95% CI: 0.40, 0.92). In conclusion, adequate sleep and healthy lifestyle behaviors may be protective against COVID-19 infection among older adults and should be investigated further.

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia

Background

In Malaysia, a nationwide movement control order (MCO), implemented to curb the COVID-19 spread, impacted on the lives of the working population which could impair sleep quality.

Objective

This study aims to find the sleep quality status and its association with the socioeconomic, employment and lifestyle factors of working adults during the MCO period.

Methods

A cross-sectional study was conducted among 500 eligible working adults. Data were collected using a structured questionnaire consisting of the Pittsburg Sleep Quality Index.

Results

The proportion of poor sleep quality is found to be 59.4%. Analysis shows that the use of electronic devices before sleep (OR = 2.33, 95% CI = 1.02-5.35, p-value = 0.046), increased amount of workload (OR = 0.45, p-value = 0.005), decreased in amount of workload (OR = 0.48, p-value = 0.003) and distracted while working (OR = 0.57, p-value = 0.014) are the factors significantly associated with and are predictors of poor sleep quality.

Conclusion

During crisis, there is a need for public health interventions for the working population to adopt a healthy lifestyle. Employers are recommended to support employees' well-being and to provide a healthy workplace during challenging times. Policy recommendations are also made to implement flexible working arrangements, workload management, workplace mental health support and legal protections on reasonable working hours, rest breaks and time off during crises.

Global burden of sleep disturbances among older adults and the disparities by geographical regions and pandemic periods

Sleep disturbances are highly prevalent during the COVID-19 pandemic, especially among older adults. We aimed to evaluate sleep heath during COVID-19 pandemic and assess the differences among geographical regions and pandemic periods. We searched three databases (PubMed, Embase, Web of Science) to find articles up to March 12, 2023. We included observational studies that reported the prevalence of sleep disturbances among adults aged 60 years or older in any setting. Two researchers independently reviewed the literature and retrieved the data. We used Der Simonian-Laird random effects meta-analyses to pool the data, followed by subgroup analysis, sensitivity analysis, and meta-regression. A total of 64 studies with 181,224 older adults during the pandemic were included. The prevalence of poor sleep quality, short sleep duration, long sleep duration, and insomnia symptoms were 47.12% (95% CI: 25.97%, 68.27%), 40.81% (95% CI: 18.49%, 63.12%), 31.61% (95% CI: 24.83%, 38.38%), and 21.15% (95% CI: 15.30%, 27.00%), respectively. The prevalence of sleep problems reported by self-constructed items was 26.97% (95% CI: 20.73%, 33.22%). When compared to America (64.13%), Europe (20.23%) and the Western Pacific (21.31%) showed a lower prevalence of sleep problems (all P < 0.0001). The prevalence of worsened sleep problems was 27.88% (95% CI: 11.94%, 43.82%). Compared to 2020 (15.14%), it increased to 47.42% in 2021 (P < 0.05). Eight studies on sleep disturbances among 672 older COVID-19 patients were included. The prevalence of sleep problems and insomnia symptoms among older COVID-19 patients were 41.58% (95% CI: 21.97%, 61.20%) and 41.56% (95% CI: 28.11%, 58.02%), respectively. A significant burden related to poor sleep has been observed among older adults worldwide over the past three years, with variations across different regions and time periods. It is important to make more efforts in prevention and intervention to identify the risk factors, treatment, and rehabilitation of sleep disturbances for healthy aging.

Sleep Disturbances as a Consequence of Long COVID-19: Insights from Actigraphy and Clinimetric Examinations-An Uncontrolled Prospective Observational Pilot Study

The COVID-19 pandemic represents a global health and social challenge. However, the impact of a SARS-CoV-2 infection itself on mental health and sleep quality remains poorly understood. The purpose of the present uncontrolled prospective observational pilot study was to evaluate the impact of past COVID-19 disease on the incidence of quantitative and qualitative sleep disturbances. A group of 61 subjects (37 female, 24 male) reported sleep disturbances that had lasted for at least one month and had started after recovery from COVID-19. The study used self-reported instruments: the Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI), as well as an objective method-actigraphy-for quantitative analysis of sleep architecture. It was shown that sleep disturbances most commonly started after recovery (68.3%, n = 41) and lasted for more than one month (83.6%, n = 51). ESS scores of 7.8 ± 5.0 points indicate moderate daytime sleepiness, and ISI scores of 16.3 ± 5.8 points denote moderate insomnia. ESS scores were negatively correlated with total time in bed (r = -0.3780, p = 0.003), total sleep time (r = -0.2969, p = 0.020), and wakefulness after sleep onset (r = -0.2654, p = 0.039). In addition, ESS scores were correlated negatively with the respondents' age (B = -0.17, p = 0.000) and time from COVID-19 onset. A positive correlation was found between wakefulness after sleep onset and ESS scores (B = -0.05, p = 0.039). ISI scores were positively correlated with time in bed (r = 0.3275, p = 0.010). Female gender was found to be a significant predictor of insomnia's severity (B = 2.159, t = 3.04, p = 0.004). In conclusion, patients with a history of COVID-19 report long-lasting sleep disturbances that do not subside spontaneously. In the patient group studied, moderate levels of daytime sleepiness and insomnia were found. The most frequently reported problems included irregular sleep, frequent awakenings, and difficulty maintaining sleep, while normal sleep duration was preserved. These findings underscore the need for continued attention to the long-term consequences of COVID-19 on sleep health and emphasize the importance of targeted interventions to address these enduring sleep disturbances in affected individuals.

Development and validation of prediction models for poor sleep quality among older adults in the post-COVID-19 pandemic era

BACKGROUND

Corona Virus Disease 2019 (COVID-19) has a significant impact on sleep quality. However, the effects on sleep quality in the post-COVID-19 pandemic era remain unclear, and there is a lack of a screening tool for Chinese older adults. This study aimed to understand the prevalence of poor sleep quality and determine sensitive variables to develop an effective prediction model for screening sleep problems during infectious diseases outbreaks.

MATERIALS AND METHODS

The Peking University Health Cohort included 10,156 participants enrolled from April to May 2023. The Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. The data were randomly divided into a training-testing cohort (n = 7109, 70%) and an independent validation cohort (n = 3027, 30%). Five prediction models with 10-fold cross validation including the Least Absolute Shrinkage and Selection Operator (LASSO), Stochastic Volatility Model (SVM), Random Forest (RF), Artificial Neural Network (ANN), and XGBoost model based on the area under curve (AUC) were used to develop and validate predictors.

RESULTS

The prevalence of poor sleep quality (PSQI >7) was 30.69% (3117/10,156). Among the generated models, the LASSO model outperformed SVM (AUC 0.579), RF (AUC 0.626), ANN (AUC 0.615) and XGBoost (AUC 0.606), with an AUC of 0.7. Finally, a total of 12 variables related to sleep quality were used as parameters in the prediction models. These variables included age, gender, ethnicity, educational level, residence, marital status, history of chronic diseases, SARS-CoV-2 infection, COVID-19 vaccination, social support, depressive symptoms, and cognitive impairment among older adults during the post-COVID-19 pandemic. The nomogram illustrated that depressive symptoms contributed the most to the prediction of poor sleep quality, followed by age and residence.

CONCLUSIONS

This nomogram, based on twelve-variable, could potentially serve as a practical and reliable tool for early identification of poor sleep quality among older adults during the post-pandemic period.

Associations Between Childhood Stressors, COVID-19-Related Anxiety, and Sleep Quality of Adults During the Third Wave of the COVID-19 Pandemic in Israel

PURPOSE

Studies point to a persistent effect of the COVID-19 pandemic on sleep quality and mental health, including anxiety. Exposure to stressors during childhood increases the susceptibility to anxiety in later life. Given the negative effects of anxiety on sleep quality, the present study aimed to examine the associations between various childhood stressors and poor sleep quality of adults during the COVID-19 pandemic, and whether these associations are mediated by COVID-19-related anxiety.

PARTICIPANTS AND METHODS

A total of 586 participants aged 18-40 (mean age 27.53± 6.48 years, 301 females) were recruited to take part in an online survey conducted in Israel between February 7 and 15, 2021, during the third wave of the COVID-19 pandemic. Participants completed questionnaires assessing retrospectively adverse childhood experiences (ACEs), childhood harshness (indexed separately by exposure to morbidity and mortality and low socioeconomic status, SES), and childhood unpredictability. COVID-19-related anxiety was assessed using two items. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), and insomnia symptoms with the Insomnia Severity Index (ISI). Participants were asked to complete the ISI concerning two time points: (a) retrospectively, before the COVID-19 outbreak, and (b) currently, during the pandemic.

RESULTS

Path analysis indicated that poor sleep quality (PSQI) was directly and indirectly (through COVID-19-related anxiety) predicted by the number of ACEs and childhood morbidity-mortality exposure, directly predicted by childhood low SES, and indirectly predicted by childhood unpredictability. Insomnia symptoms increase (ISI) was indirectly predicted by the number of ACEs, childhood morbidity-mortality exposure, and childhood unpredictability.

CONCLUSION

ACEs as well as harsh and unpredictable childhood environments are predictive of poorer sleep during the COVID-19 pandemic. COVID-19-related anxiety mediates the effects of childhood stressors (other than low SES) on sleep. These findings may have clinical implications relevant to stressful periods in general.