Sleep correlates of depression and anxiety in an elderly Asian population

Improved Pittsburgh Sleep Quality Index scores on first postoperative night achieved by propofol anesthesia in patients undergoing ambulatory gynecologic surgery

BACKGROUND

Sleep disturbance on the first postoperative night commonly develops for patients after day surgeries. The choice of either total intravenous anesthesia by propofol or total inhalation anesthesia with sevoflurane has become an issue for preventing sleep disturbance.

AIM

To compare sleep quality on the first postoperative night for female patients after total intravenous anesthesia by propofol and total inhalation anesthesia with sevoflurane.

METHODS

We enrolled 61 American Society of Anesthesia (ASA) class I-II outpatients who underwent minor gynecologic surgeries by either propofol or sevoflurane anesthesia. Sleep quality of the very night was assessed by the Pittsburgh Sleep Quality Index (PSQI) on the next day, and PSQI scores were compared by the Wilcoxon signed-rank test and paired t-test pre-operatively and postoperatively.

RESULTS

For the propofol group, the mean postoperative global PSQI score (3.3 ± 1.3) was lower than the mean preoperative global PSQI score (4.9 ± 2.3) (P < 0.001); for the sevoflurane group, the mean postoperative global PSQI score (6.5 ± 2.8) was higher than the mean preoperative global PSQI score (5.5 ± 3.2) (P = 0.02). Eighty percent of patients receiving propofol anesthesia subjectively reported improved sleep quality, but only 17% of patients receiving sevoflurane anesthesia reported improved sleep quality.

CONCLUSION

Sleep quality assessed by the PSQI is better improved in ASA class I-II female patients receiving propofol anesthesia other than sevoflurane anesthesia for undergoing minor gynecologic surgeries.

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas

Purpose

Urban-rural health disparity is one of the most prominent challenges in China today. The goal of this study is to find differences in health-related quality of life (HRQoL) and its associated factors among older people in urban and rural areas.

Methods

A multi-stage stratified sampling method was conducted in Shanxi Province, with a total of 3250 older adults participated in this cross-sectional survey. HRQoL was assessed using the Chinese version of the EQ-5D-5L. Tobit regression models were employed to identify associated factors for HRQoL.

Results

The mean EQ-5D utility score of the total sample was 0.87± 0.23, with a statistically significant difference observed between urban (0.89 ± 0.22) and rural areas (0.86 ± 0.23). Obesity (Coe=−0.10, p=0.021) and nutrition awareness (Coe=−0.14, p=0.009) were two unique associated factors to rural older adults’ HRQoL. While, age (Urban: Coe=0.13, p=0.001; Rural: Coe=−0.019, p<0.001), socioeconomic status (Urban: Coe=0.13, p<0.001; Rural: Coe=0.14, p<0.001), number of chronic non-communicable diseases (Urban: Coe=−0.20, p<0.001; Rural: Coe=−0.15, p<0.001), sleep quality (Urban: Coe=−0.22, p<0.001; Rural: Coe=0.15, p<0.001) and daytime sleepiness (Urban: Coe=−0.13, p<0.001; Rural: Coe=−0.13, p<0.001) were found to be associated with HRQoL regardless of the residential area.

Conclusion

This study suggested that rural older adults are facing HRQoL disadvantages compared to those in urban area. Accordingly, more attention should be devoted to rural older adults’ HRQoL, particularly to the unique factors like body weight and nutrition awareness. Targeted policies and interventions should be implemented to improve HRQoL and bridge the urban-rural HRQoL gap.

Mediation Effect of the Coping Strategies on the Relation Between Stress and Sleep Quality

OBJECTIVE

Recently data has been accumulated regarding the role of coping strategies in the relationship between stress and sleep quality. Therefore, we set out to identify the mediating effects of coping strategies between stress and sleep quality.

METHODS

A online-based cross-sectional study was performed using the Perceived Stress Scale-10, the Pittsburgh Sleep Quality Index, and a simplification of the 60-item Coping Orientation to Problems Experienced (Brief COPE) inventory in the nonclinical adult sample. The 24 items of Brief COPE were categorized into four factors (social support, problem solving, avoidance, positive thinking). Then, we used the PROCESS macro to conduct the multiple mediation analysis for the four coping styles as potential mediators in the relationship between stress and sleep quality, and an additional subgroup analysis was examined to identify a gender difference for the mediation effect.

RESULTS

As a group, four coping styles mediated significantly the association between perceived stress and poor sleep quality. And avoidance has maintained its significance thought all regression analyses. Finally, this results remained as same in the females.

CONCLUSION

The effect of perceived stress on poor sleep quality was mediated by coping strategies, especially by avoidance. Thus, further research should consider the coping styles of individuals to reduce the influence of stress on sleep quality.

The Common Effects of Sleep Deprivation on Human Long-Term Memory and Cognitive Control Processes

Sleep deprivation is known to have adverse effects on various cognitive abilities. In particular, a lack of sleep has been reported to disrupt memory consolidation and cognitive control functions. Here, focusing on long-term memory and cognitive control processes, we review the consistency and reliability of the results of previous studies of sleep deprivation effects on behavioral performance with variations in the types of stimuli and tasks. Moreover, we examine neural response changes related to these behavioral changes induced by sleep deprivation based on human fMRI studies to determine the brain regions in which neural responses increase or decrease as a consequence of sleep deprivation. Additionally, we discuss about the possibility that light as an environmentally influential factor affects our sleep cycles and related cognitive processes.

Consistency in the prevalence and associated factors of frailty determined by two instruments among hospitalised older adults: A cross-sectional study

AIMS AND OBJECTIVES

To investigate the consistency in the prevalence and associated factors of frailty determined by the physical-originated Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (FRAIL) scale and the multidimensional Tilburg Frailty Indicators (TFI) scale.

BACKGROUND

Accurate assessment of frailty and the identification of its associated factors could guide the development and implementation of holistic and individualised treatment plan. However, recommendations regarding the selection of frailty assessment tools are inconclusive.

DESIGN

This is a cross-sectional study, the reporting of which followed the STROBE guidelines.

METHODS

A total of 1220 older adults were recruited from a university affiliated tertiary hospital in Xi'an City, Northwest China, and administrated with a social-demographic and health-related information sheet, the FRAIL, the TFI, the Short-Form Mini-Nutritional Assessment, the Pittsburgh Sleep Quality Index and the 5-level EuroQol 5 dimensions questionnaire. Descriptive statistics and binary logistic regression analysis were used to investigate the prevalence of frailty and its associated factors.

RESULTS

The prevalence of physical-originated and multidimensional frailty was 55.2% and 77.6%, respectively. The consistency between the two scales was low. Taking the combined use of the two instruments as the reference, the TFI and FRAIL could identify 89.99% and 64.02% of the participants with frailty. Polypharmacy, health-related quality of life and sleep quality were found to be associated with both physical-originated and multidimensional frailty. Nutritional status and level of physical activity were additionally identified as the independent associated factors of multidimensional frailty.

CONCLUSIONS

The prevalence of frailty among hospitalised older adults is high. There is low consistency between the FRAIL and TFI in detecting frailty. The TFI exhibited higher sensitivity in detecting individuals with frailty and its associated factors.

RELEVANCE TO CLINICAL PRACTICE

The findings of this study supported a single use of the TFI for the assessment of frailty in the hospital setting.

Association between resting-state EEG oscillation and psychometric properties in perimenopausal women

Background

The perimenopausal period is associated with a higher risk of various mood disorders. Similarly, although resting-state electroencephalogram (rsEEG) brain oscillatory activity has been associated with various neuropsychological disorders and behaviours, these issues have not been assessed in perimenopausal women. This study aimed to evaluate quantitative relationships between psychometric properties and rsEEG rhythms (delta, theta, alpha, beta and gamma powers) in perimenopausal women.

Methods

A cross-sectional correlational descriptive study was conducted to quantitatively analyze the correlations between rsEEG low-to-high band activities (delta, theta, alpha, beta, and gamma powers) and psychometric properties in 14 perimenopausal women. Participants completed a psychological inventory comprising the State Anxiety Inventory (SAI), Depression Inventory (DI), Behavioural Inhibition Scale (BIS) and short-form UPPS Impulsive Behaviour Scale (IS) before EEG recording.

Results

Results showed that impulsivity was positively related to the beta power, symmetrical at most channels (frontal, temporal, central, parietal and occipital regions; p < .05); but did not related to the delta, theta, alpha and gamma powers. The brainwave low-to-high bands, delta, theta, alpha, beta and gamma power were not associated with DI, SAI or BIS scores.

Conclusions

This study’s findings propose that significantly enhanced resting-state beta activity is a trait of impulsivity in perimenopausal women. Therefore, results have potential implications for the preclinical or clinical evaluation of these issues in perimenopausal women.

Sleep Quality: A Narrative Review on Nutrition, Stimulants, and Physical Activity as Important Factors

Sleep is a cyclically occurring, transient, and functional state that is controlled primarily by neurobiological processes. Sleep disorders and insomnia are increasingly being diagnosed at all ages. These are risk factors for depression, mental disorders, coronary heart disease, metabolic syndrome, and/or high blood pressure. A number of factors can negatively affect sleep quality, including the use of stimulants, stress, anxiety, and the use of electronic devices before sleep. A growing body of evidence suggests that nutrition, physical activity, and sleep hygiene can significantly affect the quality of sleep. The aim of this review was to discuss the factors that can affect sleep quality, such as nutrition, stimulants, and physical activity.

The associations between sleep behaviors, lifestyle factors, genetic risk and mental disorders: A cohort study of 402 290 UK Biobank participants

BACKGROUND

Sleep behaviors were believed to be associated with mental disorders (MD). However, the underlying mechanism of such association relationship, especially the role of multiple lifestyle factors in it remains unclear.

METHODS

A total of 402,290 participants from UK Biobank who don't have MD at baseline were included. They were divided into poor, intermediate and healthy sleep patterns according to the sleep score, which was calculated based on the data collecting from five sleep behaviors. Cox proportional hazard model was used to estimate the associations between sleep behaviors and MD. The associations were further estimated when taking lifestyle factors such as physical activity, coffee intake, tea intake and genetic susceptibility into account.

RESULTS

Healthy sleep pattern was associated with lower risk of overall MD status (HR,0.41, 95%CI,0.39-0.43), depressive disorders (HR,0.34, 95%CI,0.31-0.37) and anxiety disorders (HR,0.46, 95%CI,0.41-0.79), compared with poor sleep pattern. And in each subgroup of physical activity, tea intake, coffee intake, age and genetic risk scores (GRS), healthy sleep pattern could partly offset the risk of diseases.

CONCLUSIONS

Our study suggested healthy sleep behaviors could diminish the negative effect from genetic predisposition and lifestyle factors on the risk of MD, highlighting the benefit of healthy sleep pattern.

The role of depression and physical activity in the association of between sleep quality, and duration with and health-related quality of life among the elderly: a UK Biobank cross-sectional study

BACKGROUND

Although studies have shown that sleep quality (duration) is associated with health-related quality of life (HRQoL), most of these studies have been small-sized and targeted at young and middle-aged adults. In addition, few studies have explored the path mechanism of sleep disorders leading to impaired HRQoL.

OBJECTIVES

This study aimed to determine the association between sleep quality and duration and HRQoL among the elderly in the United Kingdom, assess whether depression mediated the association, and explore the role of physical activity (PA) in the path association.

METHODS

Data were extracted from the baseline survey of the UK Biobank, a large prospective cohort study enrolling more than 500,000 participants, of which 52,551 older adults (aged ≥60 years) were included in the study. HRQoL was assessed using the European Quality of Life-5 Dimensions. Tobit and multivariate logistic regression models were used to determine the association between sleep quality and duration and HRQoL. The mediating and moderated mediation models were estimated using the PROCESS macro and MEDCURVE macro.

RESULTS

The Tobit model showed that the elderly with short or long sleep duration (β = - 0.062, 95% confidence interval [CI] = - 0.071 to - 0.053; β = - 0.072, 95% CI = - 0.086 to - 0.058) had worse HRQoL after adjusting potential covariates. In the logistic regression models, we found an inverted U-shaped association between sleep duration and HRQoL. Moreover, a significant positive association was observed between sleep quality and HRQoL (all P < 0.05). The results also revealed that depression mediated the association between sleep disorders and HRQoL (sleep quality: β = 0.008, 95% CI = 0.007-0.010; sleep duration: θ = 0.001 [mean], 95% CI = 0.001-0.002). Furthermore, PA moderated all paths among sleep quality and duration, depression, and HRQoL, and greater effects were observed in the elderly with lower PA levels.

CONCLUSIONS

The findings show that poor sleep quality and duration were independently associated with worse HRQoL among the elderly in the United Kingdom. Furthermore, PA buffers the mediating effect of depression and adverse effects of sleep disorders on HRQoL. It is essential to properly increase PA and provide early intervention for depression in the elderly with sleep disorders to improve their HRQoL.

Differences in Sleep Patterns and Mental Health Problems During Different Periods of COVID-19 Outbreak Among Community-Dwelling Older Men in Hong Kong

Objectives: To determine the association of sleep with mental health among Hong Kong community-dwelling older men in the context of the COVID-19 pandemic.

Methods: This additional analysis was derived from the community-dwelling men aged &gt;60 recruited during three COVID-19 outbreaks (i.e., pre-outbreak, between the second and third wave, and during the third wave) in Hong Kong from July 2019 to September 2020. Sleep and mental health were measured by Pittsburgh Sleep Quality Index questionnaire and Hospital Anxiety and Depression Scale, respectively. Multivariate logistic regression models were performed for the associations between sleep and mental health after considering the outbreaks’ impact.

Results: Subjects enrolled between the second and third wave tended to have better sleep but worse mental health. Positive associations between poor sleep and depression (AOR = 3.27, 95% CI: 1.60–7.03) and anxiety (AOR = 2.40, 95% CI: 1.07–5.76) were observed. The period “between second and third wave” was positively associated with depression (AOR = 2.65, 95% CI: 1.22–5.83), showing an additive interaction with poor sleep.

Conclusion: The positive association between poor sleep and depression was aggravated by the period “between the second and third wave” among community-dwelling older males in Hong Kong.

Prolonged Sleep Latency and Reduced REM Latency Are Associated with Depressive Symptoms in a Japanese Working Population

Background: Examining the relationship between sleep and depression may be important for understanding the aetiology of affective disorders. Most studies that use electroencephalography (EEG) to objectively assess sleep have been conducted using polysomnography in the laboratory. Impaired sleep continuity, including prolonged sleep latency and changes in rapid eye movement (REM) sleep, have been reported to be associated with depression in clinical settings. Here, we aimed to use home EEG to analyse the association between sleep and depressive symptoms. Methods: We performed a cross-sectional epidemiological study in a large Japanese working population to identify the EEG parameters associated with depressive symptoms based on the results of a questionnaire survey and home EEG measurements using 1-channel (1-Ch) EEG. Results: The study included 650 Japanese patients (41.2% male, 44.7 ± 11.5 years) who underwent home EEG monitoring along with the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms. Logistic regression analysis revealed that depressive symptoms (PHQ-9 ≥ 10) were associated with sleep latency (odds ratio (OR) 1.02; 95% confidence interval (CI): 1.00–1.04) and REM latency (OR, 0.99; 95% CI: 0.99–1.00). Conclusions: Our results suggest that depressive symptoms are associated with prolonged sleep latency and reduced REM latency in a Japanese working population. The 1-Ch EEG may be a useful tool to monitor sleep and screen depression/depressive symptoms in non-clinical settings.

Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea

This study provided baseline data for preventing depression in female older adults living alone by understanding the degree of their depressive disorders and factors affecting these depressive disorders by analyzing epidemiological survey data representing South Koreans. To achieve the study objective, this study explored the main risk factors of depressive disorders using the stacking ensemble machine technique. Moreover, this study developed a nomogram that could help primary physicians easily interpret high-risk groups of depressive disorders in primary care settings based on the major predictors derived from machine learning. This study analyzed 582 female older adults (≥60 years old) living alone. The depressive disorder, a target variable, was measured using the Korean version of Patient Health Questionnaire-9. This study developed five single predictive models (GBM, Random Forest, Adaboost, SVM, XGBoost) and six stacking ensemble models (GBM + Bayesian regression, RandomForest + Bayesian regression, Adaboost + Bayesian regression, SVM + Bayesian regression, XGBoost + Bayesian regression, GBM + RandomForest + Adaboost + SVM + XGBoost + Bayesian regression) to predict depressive disorders. The naive Bayesian nomogram confirmed that stress perception, subjective health, n-6 fatty acid, n-3 fatty acid, mean hours of sitting per day, and mean daily sleep hours were six major variables related to the depressive disorders of female older adults living alone. Based on the results of this study, it is required to evaluate the multiple risk factors for depression including various measurable factors such as social support.

The Association Between Morningness-Eveningness Preference, Depression, Anxiety and Insomnia Among Chinese Textile Workers With or Without Shift Work

OBJECTIVE

Circadian preference and mental health disorders are closely related to insomnia. This study aimed to evaluate insomnia symptoms in textile factory workers with different work schedules, and to investigate the association between insomnia, morningness-eveningness preference, anxiety, and depression.

METHODS

A total of 3,883 textile workers were assessed using the 3-items of Pittsburg Sleep Quality Index, Composite Scale of Morningness, Beck Anxiety Inventory, Center for Epidemiologic Studies-Depression Scale, and socio-demographic questionnaires.

RESULTS

The prevalence rate of insomnia in textile workers was 16.7% (N = 646), with 49.8% (N = 322) were shift workers. Among shift workers (N = 1,833), 9.5% had difficulty initiating sleep, and almost 9.0% suffered from early morning awakening, a rate significantly higher than among daytime workers. Logistics regressions revealed that work schedule was insignificantly associated with insomnia. Depression (OR = 1.034, 95% CI = 1.022-1.046) and anxiety (OR = 1.031, 95% CI = 1.018-1.043) positively predicted insomnia, whereas morningness preference (OR = 0.977, 95% CI = 0.960-0.995) decreased the likelihood of insomnia. Furthermore, mediation analysis showed that both anxiety and depression independently mediated the association between circadian preferences and insomnia in textile workers with or without shift work.

CONCLUSION

This study highlighted the insomnia, depression, and anxiety of textile factory workers in a Chinese textile factory. To improve insomnia symptoms, interventions to promote morningness circadian preference and reduce depressive and anxious symptoms among workers are encouraged.

Prevalence of Sleep Problems Among Chinese Medical Students: A Systematic Review and Meta-Analysis

BACKGROUND

Sleep is a necessary physiological process, which is closely related to cognitive function, emotion, memory, endocrine balance, and immunity. The prevalence of sleep problems continues to rise in Chinese medical students, which has a potential influence on living and work.

OBJECTIVE

This study aimed to observe the prevalence of sleep problems among medical students in China.

METHOD

The included cross-sectional studies on the prevalence of sleep problems of medical students in China were retrieved from PubMed, Embase, the Cochrane Database of Systematic Reviews, CNKI, and Wanfang database. An 11-item checklist recommended by the Agency for Healthcare Research and Quality was adopted to evaluate the methodological quality of the included studies. Software Stata 12.0, SPSS 26.0, and R were used to analyze the data. Registration: PROSPERO, CRD 42021237303.

RESULT

The prevalence of sleep problems among Chinese medical students was 27.38%. The subgroup analysis showed significant differences in the prevalence of sleep problems among different regions, educational backgrounds, grades, and University types. The region, latitude, and gross domestic product (GDP) were significant heterogeneous sources of sleep problems. The prevalence is positively correlated with latitude and negatively correlated with GDP per capita. Regular screening and appropriate intervention are recommended for these mental health problems.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021237303, identifier: CRD42021237303.

Chronic Conditions, Persistent Pain, and Psychological Distress Among the Rural Older Adults: A Path Analysis in Shandong, China

Psychological distress were found to be associated with chronic conditions and persistent pain. However, few studies explored the underlying pathways between them. This study aimed to analyze the path of chronic conditions and persistent pain on psychological distress through sleep quality and self-rated health. A total of 2,748 rural older people in Shandong, China were included in this study. Path analysis was performed by using Mplus 8.3 to examine the associations between chronic conditions, persistent pain, sleep quality, self-rated health, and psychological distress after adjusting for age, gender, education, and household income. The prevalence of psychological distress among the older adults in this study was 47.49%. Chronic conditions and persistent pain were indirectly associated with psychological distress through six mediating pathways: (1) the path from chronic conditions to psychological distress through sleep quality (β = 0.041, 95%CI: 0.015-0.067) and self-rated health (β = 0.064, 95%CI: 0.038-0.091), respectively, and a chain mediation existed (β = 0.007, 95% CI: 0.000-0.014); (2) the path of persistent pain and psychological distress through sleep quality (β = 0.058, 95% CI: 0.014-0.102) and self-rated health (β = 0.048, 95% CI: 0.000-0.096), respectively, also the chain mediation found (β = 0.009, 95% CI: 0.005-0.014). Psychological distress was associated with chronic conditions and persistent pain through decreased sleep quality and self-rated health among Chinese rural older people. Multi-pronged targeted intervention should be taken for older adults with chronic conditions and persistent pain.

The impact of COVID-19 pandemic on medical students’ mental health and sleep quality in Jordan: a nationwide cross-sectional study

Background

COVID-19 pandemic is expected to affect the mental health, especially among medical students. Data from the literature in Jordan are scarce, especially during the second wave of the pandemic. We aimed to assess medical students’ level of fear, prevalence of depressive and anxiety symptoms—represented in psychological distress (PD)—and sleep quality (SQ) amid the current pandemic of COVID-19. A total of 2104 students were included through convenient sampling from the six schools of Medicine in Jordan. Online-based questionnaire using Patient Health Questionnaire-4 (PHQ-4) scale, Fear of COVID-19 scale (FCV-19S), and Sleep Quality Scale (SQS) was used to collect the data. Chi-square, t-tests, and ANOVA were used to establish the associations.

Results

88.4% and 47.4% of the students were found to have PD and poor or just fair sleep quality on SQS, respectively, with PD ranging from mild (18.6%) to severe (42.1%). Calculated FCV-19S score was 14.62 (SD=5.38), indicating high level of fear. Students with excellent SQ had significantly lower rates of depression, anxiety, and PD as compared to those with good, fair, and poor SQ (P < 0.001 for all).

Conclusion

Jordanian medical students appear to be especially susceptible to COVID-19 pandemic impact on mental health and reported high rates of PD. While rates of COVID-19 fear are still considered high, they are remarkably lower than that reported in early studies. We strongly recommend providing resources and access to professional mental health care to students reporting poor SQ and/or symptoms of anxiety and depression.

Limitations

Using a cross-sectional design, online-based survey, convenient sampling, and scarcity of local literature are among the inevitable limitations caused by the pandemic that have prevented us from drawing cause-effect associations.

Effects of High-Intensity Interval Training on Sleep: A Systematic Review and Meta-Analysis

Objectives: To use a quantitative approach to examine the effects of high-intensity interval training (HIIT) interventions on sleep for adults. Methods: PubMed, Ebsco, Web of Science, Cochrane Central Register of Controlled Trials, the China National Knowledge Infrastructure, and Wanfang Data were searched from their inception to December 2020. Intervention studies with a control group that examined the effects of HIIT interventions on sleep were included in this meta-analysis. The risk of bias was assessed using the tool provided by the Cochrane Handbook for Systematic Reviews of Interventions. Effect sizes (ESs), calculated as weighted mean difference (WMD) and standardized mean difference (SMD), were used to examine the effects of objective outcomes and subjective outcomes separately. Results: A large increase in sleep quality (SQ) reflected by the Pittsburgh Sleep Quality Index global scores [WMD = −0.90, 95%CI (−1.72, −0.07), p = 0.03, n = 8] and a small-to-medium favorable effect on sleep efficiency (SE) [SMD = 0.43, 95%CI (0.20, 0.65), p = 0.0002, n = 10] were found after HIIT intervention. In addition, sub-analyses results suggest that ESs were moderated by the type, duration and frequency, as well as the length of the HIIT intervention. Conclusions: HIIT may be a promising way to improve overall subjective SQ and objective SE. PROSPERO, protocol registration number: CRD42021241734.

"Where-There-Is-No-Psychiatrist Integrated Personal Therapy" among Community-Dwelling Older Adults: A Randomized Pilot Study

In Singapore, many older adults suffer from subsyndromal depression and/or subsyndromal anxiety, which can negatively impact their physical and mental well-being if left untreated. Due to the general public’s reluctance to seek psychological help and the low psychiatrist-to-population ratio in Singapore, this study aims to examine the preliminary efficacy, perceptions, and acceptability of a trained volunteer-led community-based intervention on community-dwelling older adults. Twenty-one participants (control: n = 11; intervention: n = 10) completed the randomized pilot study. A mixed-methods approach (questionnaires, semistructured interviews, examining blood samples, intervention fidelity) was adopted. No significant differences were found between the intervention and the control groups in depression, anxiety, life satisfaction, friendship, and quality of life. However, there was a positive change in quality-of-life scores from baseline to 6 months in the intervention group. The control group had significantly higher cortisol levels and lower annexin-A1 levels at 6 months, while the intervention group did not. Three themes emerged from the interviews: (1) impact of the intervention on older adults’ well-being, (2) attitudes toward intervention, and (3) a way forward. However, intervention efficacy could not be established due to small sample size caused by the coronavirus pandemic. Future randomized controlled trials should evaluate volunteer-led, technology-based psychosocial interventions to support these older adults.

Longitudinal Assessment of Prevalence and Risk Factors of Anxiety and Depression among Prostate Cancer Survivors Post-Resection

Our study aimed to detect the longitudinal prevalence of anxiety and depression in prostate cancer survivors post-resection and their risk factors. A total of 169 prostate cancer patients who underwent resection were included and followed up for 3 years. Then anxiety and depression were assessed by Zung's Self-rating Anxiety Scale (SAS) or Zung's Self-rating Depression Scale (SDS) from the day of discharging from hospital to the last follow up every 3 months. Overall survival (OS) was calculated and documented. In prostate cancer survivors post-resection, the SAS score, anxiety occurrence rate, SDS score and depression occurrence rate all gradually elevated from baseline to month 36. Multivariate logistic regression analysis disclosed that age ≥ 65 years, education duration<9 years, marry status of single/divorced/widowed, unemployment before surgery, diabetes, and hyperlipidemia, higher Gleason score, higher pathological T stage, higher pathological N stage, positive surgical margin status were independent factors related to higher anxiety risk in the 3 years follow-up duration. Additionally, unemployment before surgery, hyperlipidemia, higher pathological T stage, higher pathological N stage, positive surgical margin status were independently associated with depression risk in the 3 years follow-up duration. In addition, baseline anxiety, baseline depression, 1-year depression and 2-year depression associated with worse OS. In conclusion, post-resection anxiety and depression continuously worsen in prostate cancer survivors, and age, marriage status, education duration, complications, and tumor features can serve as their risk factors.

WITHDRAWN: Health risk assessment and countermeasure analysis of the elderly population exposed to PM2.5 microenvironment

Ahead of Print article withdrawn by publisher.

Sleep disturbance mediates the relationship between depressive symptoms and cognitive function in older adults with mild cognitive impairment

This study examined whether and to what extent sleep disturbance mediates the effects of depressive symptoms on the cognition of individuals with mild cognitive impairment (MCI), who represent a high-risk group for developing dementia. Cross-sectional data were obtained from a sample of 204 Chinese community-dwelling older adults with MCI. MCI subjects were screened using the Montreal Cognitive Assessment, sleep quality was measured using the Pittsburgh Sleep Quality Index, and depressive symptoms were assessed using the Geriatric Depression Scale. Mediation analysis was conducted using the PROCESS macro with 10,000 bootstrap samples. The significant mediating effect of sleep quality on the association between depressive symptoms and cognition (Beta = -0.025; 95% CI, -0.054 to -0.007) explains 26% of the total effect of depressive symptoms on cognition and implies that the timely detection and management of sleep disturbance among the MCI population is highly important, especially for those with depressive symptoms.

Effect of propofol-based total intravenous anaesthesia on postoperative cognitive function and sleep quality in elderly patients

PURPOSE

This study aimed to observe the effect of propofol-based total intravenous anaesthesia (TIVA) on postoperative cognitive function and sleep quality in elderly patients.

METHODS

From August 2019 to August 2020, 130 cases of elderly patients who underwent abdominal surgery in The Third Hospital of Hebei Medical University were enrolled in this study. All participants were randomly divided into TIVA group (n = 65, receiving propofol-based TIVA) and control group (n = 65, receiving inhaled of sevoflurane anaesthesia). Intra-operative indicators were recorded in both groups. The cognitive function, sleep quality, urine melatonin sulphate, free cortisol, S-100 β protein and interleukin-6 (IL-6) levels were compared at different times.

RESULTS

On 1, 3, 7 and 15 days after operation, the cognitive function of the TIVA group was better than that of the control group, with statistically significance (P < .05, respectively). On the day of surgery, the two groups had similar sleep quality. The sleep quality of the TIVA group was better than that of the control group on 1, 3 and 7 days after surgery (P < .05, respectively). On the day of surgery, the levels of melatonin, cortisol, S-100β protein and IL-6 in the two groups were equivalent (P > .05). On 1, 3, 7 and 15 days after surgery, cortisol and IL-6 in the TIVA group were lower than those of the control group, and melatonin was higher than that of the control group (P < .05, respectively). On 1, 3 and 7 days after operation, the S-100 β protein in the TIVA group was lower than that in the control group (P < .05, respectively).

CONCLUSION

Propofol-based TIVA has little effect on the cognitive function and sleep quality of elderly patients after surgery, and it is worthy of clinical application.

Correlation between sleep characteristics and cognitive decline in the elderly people: A cross-sectional study in China

STUDY OBJECTIVES

In this study, we conducted a cross-sectional analysis of the sleep characteristics in the elderly Chinese people to comprehensively investigate the association between sleep and cognitive function in the elderly people. We aimed to evaluate the most important demographic factors, conventional physiological indices and living habits that may influence sleep.

METHODS

We surveyed 2901 elderly people (age ≥60 years old) face-to-face from 1 July to 31 December 2017, who were recruited from 17 communities of the Pudong New Area (Shanghai, China) by probability proportional to size. The Pittsburgh sleep quality index (PSQI) scale was used to describe the sleep features of each participant. Cognitive assessment was performed using the mini-mental state examination (MMSE) scale, Montreal cognitive assessment (MoCA) and the clinical dementia rating (CDR) scale. Those factors which potentially influence sleep and consequentially may impact cognition in the elderly people were evaluated, and the correlations of sleep characteristics and cognitive function were explored by the linear regression analysis.

RESULTS

Altogether, there were 1287 (44.4%) people taking part in the investigation. Sleep quality was significantly correlated with MMSE and MoCA total scores. Healthy sleep (especially enough sleep) was correlated with better cognitive functions. Besides recognised relative factors (such as age, sex and living alone), the number of children was found to be a strong risk factor of poor sleep. Anxiety before sleep and light/noise interference significantly damaged sleep while an exercise routine was associated with better sleep. Moderate levels of reading, watching TV and household work were correlated with superior sleep quality.

CONCLUSION

In conclusion, sleep characteristics correlate with cognitive decline in the elderly people, and they can be influenced by multiple demographic factors and living habits. To improve sleep quality, it may be important to change sleep environment, to be relax, to increase physical exercise and recreational activities moderately.

Gender-specific prevalence and influencing factors of depression in elderly in rural China: A cross-sectional study

BACKGROUND

With an aging population, late-life depression has been a major health problem in rural China. This study aims to explore the gender-specific prevalence of geriatric depression in rural Tianjin, its influencing factors, and to provide a scientific basis for the prevention and intervention of depression in the elderly.

METHODS

A cross-sectional study of 4,933 elderly individuals in rural Tianjin was conducted using the cluster sampling method. The independent samples t-test and chi-squared test were used to assess differences in participants' characteristics by depressive symptoms, while multiple linear regressions and multiple logistic regressions were used to analyze the potential influencing factors of depression.

RESULTS

The prevalence of geriatric depression was found to be 12.2% in the study participants (9.5% in men and 14.5% in women). Gender, education, household income, employment, living alone, social activities, physical exercise and chronic diseases were associated with depression (P<0.05). In addition to the above factors, sleep duration was also related with scores on self-rating depression scale (P<0.05).

LIMITATIONS

The study used a cross-sectional approach, so causation cannot be concluded.

CONCLUSIONS

Late-life depression is a serious mental health issue in rural China, highlighting the importance of appropriate diagnosis and treatment as a priority to improve the quality of mental health.

Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in Bangladesh

BACKGROUND

The world is facing a public health emergency situation caused by the COVID-19 pandemic. Psychological wellbeing among individuals worldwide has been negatively affected by the pandemic especially in low- and middle-income countries such as Bangladesh. The present study aimed to assess the estimate of depressive symptoms and investigated its associations with COVID-19 preventive practice measures, daily activities in home quarantine, and suicidal behaviors in a large-scale Bangladeshi online survey.

METHODS

An online-based cross-sectional survey was widely distributed to Bangladeshi citizens. A total of 13,654 participants (61.0% male; mean age = 24.0 years [SD = 6.0]; age range 18-65 years) completed the survey between May and June (2020). The survey included socio-demographics and COVID-19-related questions, along with lifestyle, suicidal, and psychometric measures. Hierarchical regression was performed to determine significant associations between depression and examined variables.

RESULTS

The estimate of depressive symptoms during the COVID-19 pandemic was 43.5%. Based on hierarchical regression analysis, depression was significantly associated with not engaging in COVID-19 preventive measures, daily activities in home quarantine (e.g., playing videogames), and suicidal behaviors.

CONCLUSIONS

Depressive symptoms appeared to be high during the COVID-19 pandemic in Bangladesh. To fight against the pandemic, mental health issues as well as physical health issues need to be taken into consideration.

Association of Depressive Symptoms with Sleep Disturbance: A Co-twin Control Study

BACKGROUND

Few studies have comprehensively evaluated the association of depression with sleep disturbance using a controlled twin study design.

PURPOSE

To cross-sectionally evaluate the association of depression with both objective and subjective sleep disturbance.

METHODS

We studied 246 members of the Vietnam Era Twin Registry. We measured depressive symptoms using the Beck Depression Inventory-II (BDI) and assessed major depression using structured clinical interviews. Twins underwent one-night polysomnography and 7-day actigraphy to derive measures of objective sleep and completed the Pittsburgh Sleep Quality Index for subjective sleep. Multivariable mixed-effects models were used to examine the association.

RESULTS

Twins were all male, mostly white (97%), with a mean (SD) age of 68 (2). The mean (SD) BDI was 5.9 (6.3), and 49 (20%) met the criteria for major depression. For polysomnography, each 5-unit higher BDI, within-pair, was significantly associated with 19.7 min longer rapid eye movement (REM) sleep latency, and 1.1% shorter REM sleep after multivariable adjustment. BDI was not associated with sleep architecture or sleep-disordered breathing. For actigraphy, a higher BDI, within-pair, was significantly associated with lower sleep efficiency, more fragmentation and higher variability in sleep duration. BDI was associated with almost all dimensions of self-reported sleep disturbance. Results did not differ by zygosity, and remained consistent using major depression instead of BDI and were independent of the presence of comorbid posttraumatic stress disorder and antidepressant use.

CONCLUSIONS

Depression is associated with REM sleep disruption in lab and sleep fragmentation and sleep variability at home, but not with sleep architecture or sleep-disordered breathing.

Measuring depression and anxiety prevalence among Iraqi healthcare college students using hospital anxiety and depression scale

OBJECTIVE

The study aimed to 1) measure the prevalence of depression and anxiety among Iraqi pharmacy and medical students at a number of universities in Baghdad using Hospital Anxiety and Depression Scale (HADS) and 2) investigate the association between various sociodemographic factors and students' HADS scores.

METHODS

This study was based on a cross-sectional descriptive design in four universities in Baghdad, Iraq. Depression and anxiety were screened using an Arabic version of the HADS. An online survey was administered via Qualtrics to convenience samples of students at four colleges of pharmacy and a college of medicine between March and June 2018. Multiple linear regression was used to identify factors associated with depression and anxiety symptoms among the participants.

RESULTS

The researchers received 750 usable surveys. The participating students spent more time browsing social media (6.64 hours/day) than studying (1.92 hours/day) and exercising (2.83 hours/week). Approximately forty-six percent (45.9%) of the participants had scores that indicated depression symptoms and one-quarter (24.8%) had scores that indicated depression borderline symptoms. More than one-half (52.1%) of the participants had scores that indicated anxiety symptoms, while 20.1% had scores that indicated anxiety borderline symptoms. According to the multiple linear regression analysis, more depression and anxiety symptoms were significantly (p-value <0.05) associated with higher study hours weekly and lower sleep hours at night, academic achievement, and colleagues and family social support during exams.

CONCLUSIONS

Pharmacy and medical students may be vulnerable to depression and anxiety because of long study hours.. To reduce their levels of anxiety and depression, they may need more social support, more exercise, more sleep, less social media use and a lower academic workload.

Insomnia partially mediates the relationship between pathological personality traits and depression: a case-control study

Background and Objective

Personality disorders are frequently associated with insomnia and depression, but little is known about the inter-relationships among these variables. Therefore, this study examined these inter-relationships and the possible mediating effect of insomnia on the association between specific personality pathologies and depression severity.

Methods

There were 138 study participants, including 69 individuals with depression and 69 healthy controls. The main variables were measured by the Hamilton Depression Rating Scale-24 (HAMD-24), Athens Sleep Insomnia Scale (AIS), and the Personality Diagnostic Questionnaire (PDQ-4+). Multivariate linear regression and mediation analysis were conducted.

Results

With the exception of the antisocial personality score, all the PDQ-4+ scores and AIS scores were significantly higher in the depression group than in the healthy control group (p < 0.001). In the total sample, all personality pathology scores (p < 0.001), except the antisocial personality score, had significant positive correlations with the AIS scores and HAMD-24 scores, and the AIS scores and HAMD-24 scores were positively correlated (r = 0.620, p < 0.001). Regression analysis revealed that borderline personality, passive-aggressive personality, and insomnia positively predicted the severity of depression, after adjusting for sociodemographic covariates, and that insomnia partially mediated the associations of borderline personality and passive-aggressive personality with depression severity.

Conclusions

Borderline personality, passive-aggressive personality, and insomnia tend to increase the severity of depression, and the effect of borderline and passive-aggressive personality on depression severity may be partially mediated by insomnia. This is the first study to report these findings in a Chinese sample, and they may help researchers to understand the pathways from specific personality pathologies to the psychopathology of depression better, which should be useful for designing interventions to relieve depression severity, as the impact of specific personality pathology and insomnia should be considered.

Shift work disorder and related influential factors among shift workers in China

BACKGROUND

Shift work may cause insomnia and sleepiness in individuals. The present study aimed to exam shift work disorder (SWD), and to investigate their associations with individual characteristics.

METHODS

A total of 1833 shift workers were assessed using the Pittsburg Sleep Quality Index, Epworth Sleepiness Scale (ESS), Composite Scale of Morningness (CSM), Circadian Type Inventory (CTI), Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Anxiety Inventory (BAI) and other self-compiled socio-demographic questionnaires.

RESULTS

In the current sample, 17.1% shift workers have experienced insomnia symptoms, 20.9% were tested for daytime sleepiness, and 19.9% were categorized as having SWD. Logistics regressions revealed that history of mental disorders (OR = 2.04, 95% CI = 1.30-3.21), chronic physical illness (OR = 1.53, 95% CI = 1.17-1.99), CES-D scores (OR = 1.03, 95% CI = 1.02-1.05), BAI scores (OR = 1.04, 95% CI = 1.03-1.06), languid/vigorous tendencies (OR = 1.06, 95% CI = 1.03-1.10) were positively associated with the onset of SWD, while morningness (OR = 0.97, 95% CI = 0.94-0.99) decreased the odds of SWD onset.

CONCLUSIONS

These findings suggested that attention should be drawn to individuals with mental and chronic diseases in when scheduling work shifts. While SWD and its associates should be considered when providing psychological services to shift workers.

Vortioxetine in management of major depressive disorder - a favorable alternative for elderly patients?

Introduction: Depressive disorders are common in older patients, and their prevalence may reach up to 17.1%. Though for older adults, the initial recommended treatment is either life-review treatment or group cognitive-behavioral therapy, a combination of pharmacotherapy with interpersonal psychotherapy is also an option. There are many classes of antidepressants, and some meta-analyses suggest that the efficacy of different antidepressant groups is similar. Therefore, depression treatment in an elderly patient should consider preference, safety, and tolerability. Most reports suggest that SSRIs, such as citalopram, escitalopram, or sertraline, should be proposed as first-time medications.Areas covered: This article discusses the pharmacokinetic and pharmacodynamic properties of vortioxetine, emphasizing the observed differences, benefits, and risks for older patients. Vortioxetine - a multimodal antidepressant drug - was shown to be effective against major depressive disorders in both double-blinded, placebo-controlled trials and open-label studies.Expert opinion: Compared with commonly used antidepressants, vortioxetine appears to have unique properties that may be beneficial for elderly patients. Not only does it enhance cognitive function, but it also has a favorable safety profile.

Identification of comprehensive geriatric assessment-based risk factors for insomnia in elderly Chinese hospitalized patients

OBJECTIVE

Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors associated with insomnia in elderly hospitalized patients.

METHODS

Standardized face-to-face interviews were conducted and CGA data were collected from 356 Chinese hospitalized patients aged 60 years or older. Insomnia was defined as self-reported sleep poor quality according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-Ⅴ). Multivariate logistic regression analysis was applied to assess the association between patient clinical factors together with domains within the CGA and insomnia.

RESULTS

Among the 365 patients, insomnia was found in 48.31% of the participants. Difficulty in initiating sleep (DIS), early morning awakening (EMA), difficulty in maintaining sleep (DMS), and snoring were found in 33.99%, 9.55%, 13.48%, and 1.69% of patients, respectively. Significant associations were found between insomnia and several covariates: female gender (P = 0.034), depression (P = 0.001), activities of daily living (ADL) (P = 0.034), instrumental activities of daily living (IADL; P = 0.009), falling (P = 0.003), chronic pain (P = 0.001), and poor nutritional status (P = 0.038). According to the results of the adjustment multivariate logistic regression analysis, female sex (odds ratio [OR] = 2.057, confidence interval [CI] = 1.179-3.588, P = 0.011), depression (OR = 1.889, CI = 1.080-3.304, P = 0.026), and chronic pain (OR = 1.779, CI = 1.103-2.868, P = 0.018) were significant independently predictors associated with insomnia.

CONCLUSIONS

Our study revealed that female sex, depression, and chronic pain were independently predictors of insomnia in hospitalized patients. Early identification of elderly patients with these risk factors using the CGA may improve the quality of life and treatment outcomes.

Relative Prevalence of and Factors Associated with Anxiety and Depression in Degenerative Triangular Fibrocartilage Complex Lesion Patients - a Casecontrol Study

Triangular fibrocartilage complex (TFCC) lesions are a common cause of ulnar wrist pain. Data, including mental status assessment, were prospectively collected from patients who underwent arthroscopy. The HADS was used to assess the prevalence of depression and anxiety. Patients with degenerative TFCC lesions were at an increased risk of anxiety and depression. Early screening for anxiety and depression in degenerative TFCC lesions patients should be recommended.

Mindfulness intervention for mild cognitive impairment led to attention-related improvements and neuroplastic changes: Results from a 9-month randomized control trial

Mindfulness-based interventions can enhance cognitive abilities among older adults, thereby effectively delaying cognitive decline. These cognitive enhancements are theorized to accompany neuroplastic changes in the brain. However, this mindfulness-associated neuroplasticity has yet to be documented adequately. A randomized controlled trial was carried out among participants with mild cognitive impairment (MCI) to examine the effects of a mindfulness-based intervention on various cognitive outcomes and cortical thickness (CT) in the context of age-related cognitive impairment. Participants were assigned to a mindfulness awareness program (MAP)(n = 27) and an active control condition - health education program (n = 27). In both, they attended weekly sessions for three months and subsequently, monthly sessions for six months. Cognitive assessments and structural scans were carried out across three time-points. Whole brain analyses on CT were carried out and were supplemented with region of interest-based analyses. ROI values and cognitive outcomes were analyzed with mixed MANOVAs and followed up with univariate ANOVAs. Nine-month MAP-associated gains in working memory span and divided attention, along with an increased CT in the right frontal pole and decreased CT in the left anterior cingulate were observed. Three-month MAP-associated CT increase was observed in the left inferior temporal gyrus but did not sustain thereafter. MAP led to significant cognitive gains and various CT changes. Most of these neurobehavioral changes, may require sustained effort across nine months, albeit at a reduced intensity. MAP can remediate certain cognitive impairments and engender neuroplastic effects even among those with MCI.

The association between poor sleep quality and anxiety and depression symptoms in Chinese patients with coronary heart disease

Poor sleep quality might be a potentially modifiable predictor of prognosis in patients with coronary heart disease (CHD). Anxiety and depression symptoms are highly prevalent in these patients. Whether anxiety and depression symptoms are risk factors for poor sleep quality in Chinese patients with CHD is unclear. This study is intended to examine the prevalence of poor sleep quality in Chinese patients with CHD and its associations with anxiety and depression symptoms, and to explore whether sex, obesity and CHD type modify these associations. Three hundred and forty-eight participants were included. The Pittsburgh Sleep Quality Index (PSQI, >7 was defined as poor sleep quality) and Hospital Anxiety and Depression Scale (HADS) were used to assess sleep quality and psychological symptoms. 47.1% of the participants had poor sleep quality. Logistic regression analysis showed that poor sleep quality was independently associated with anxiety and depression symptoms adjusting for demographic and clinical factors. However, adjusted for anxiety symptoms, poor sleep quality was no longer associated with depression symptoms. Subgroup and interaction analysis showed that poor sleep quality was associated with markedly higher HADS anxiety and depression scores among patients with stable angina than those with acute coronary syndrome (ACS). These findings suggest that poor sleep quality was associated with both anxiety and depression symptoms in Chinese patients with CHD. However, in the case of concurrent anxiety and depression, anxiety was the main related factor of a high prevalence of poor sleep quality. The association between poor sleep quality and psychological symptoms was influenced by CHD type.

Rapid Eye Movement Sleep Deprivation Combined With Fluoxetine Protects Against Depression-Induced Damage and Apoptosis in Rat Hippocampi via A1 Adenosine Receptor

Background: Rapid eye movement sleep deprivation (REMSD) and fluoxetine affect depression, yet the detailed molecular mechanisms were not clear. Methods: Rat depression chronic unpredictable stress was constructed, and the body weight of rats was measured. The efficacy of REMSD and fluoxetine on the pleasure experience, exploration, and cognition of rats with depression was determined by the Sucrose preference test, the open field test, and Morris water task, respectively. The effects of REMSD and fluoxetine on depression-induced damage and apoptosis in rat hippocampi were detected using hematoxylin-eosin staining and terminal transferase-mediated biotin 2'-deoxyuridine, 5'-triphosphate nick end labeling. A1 adenosine receptor content was measured by immunohistochemistry. Relative expressions of the A1 adenosine receptor, proteins related to apoptosis (B Bcl-2-associated X protein; B-cell lymphoma 2), phosphoinositide 3-kinase, P38 mitogen-activated protein kinase, cFos, and adenosine deaminase RNA specific two were quantified by quantitative real-time polymerase chain reaction and Western blot as needed. Results: Depression decreased rat weight. REMSD combined with fluoxetine increased body weight, prompted rat behavior, alleviated depression-induced damage, attenuated apoptosis, and promoted A1 adenosine receptor level in rat hippocampi. Furthermore, the combined therapy upregulated expressions of A1 adenosine receptor, B-cell lymphoma 2, and phosphoinositide 3-kinase but downregulated those of B-cell lymphoma 2-associated X protein, P38 mitogen-activated protein kinase, cFos, and adenosine deaminase RNA specific 2 in the hippocampi of rats with depression. Conclusion:REMSD combined with fluoxetine protected rats against depression-induced damage and apoptosis in the hippocampus via the A1 adenosine receptor, providing a possible treatment strategy for depression.

Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health. Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively. Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms. Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

The Association of Insomnia with Depression and Anxiety Symptoms in Patients Undergoing Noncardiac Surgery

OBJECTIVE

Insomnia is common in patients undergoing surgery. It can increase the rate of postoperative complications, interfere with patient recovery, and decrease hospital satisfaction. However, there are few studies on perioperative insomnia. This study was conducted to investigate the differences in the demographic, health status, and clinical characteristics of patients with and without insomnia postoperatively, and to identify the potential risk factors of insomnia.

METHODS

There were 299 non-cardiac surgery patients, 165 females, and 134 males, with a mean age of 55 years, enrolled in the study. The Insomnia Severity Index (ISI), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7 (GAD-7), and Montreal Cognitive Assessment (MoCA) were administered to all the patients preoperatively. The Visual Analogue Scale (VAS) was used preoperatively, and at the end of the surgery, and then one day, two days, and three days after surgery. The PHQ-9, the GAD-7, and the ISI were repeated three days after surgery. Insomnia was diagnosed by the ISI as being a score of 8-28 (mild: 8-14; moderate-severe: 15-21; severe: 22-28). The patients were divided into group A (with insomnia, N=78) and group B (without insomnia, N=221) according to their ISI score three days after surgery. The general clinical data of the two groups were analyzed first, and then binary logistic regression analysis was conducted to assess the risk factors of insomnia.

RESULTS

A total of 299 non-cardiac surgery patients with a mean age of 55 years were enrolled in the study. Of the included patients, the number of females was 165 and the number of the male was 134. The incidence of insomnia at 3 days postoperatively was 26.1% (78/299). The average points that group A patients scored in the ISI, PHQ-9, and the GAD-7 were significantly higher than those in group B. The VAS score three days after surgery was significantly higher in group A. The PHQ-9 and the GAD-7 three days after surgery showed significantly higher depression and anxiety scores in group A. Logistic regression showed that the ISI (p<0.001, 95% CI=1.218-1.500) and the GAD-7 (p=0.003, 95% CI=1.041-1.218) preoperatively, and the PHQ-9 postoperatively (p<0.001, 95% CI=1.226-1.555), were risk factors of insomnia.

CONCLUSION

Insomnia is common and can worsen after surgery. The present study suggests that depression and anxiety are risk factors for insomnia after surgery. There is a need for further research and the development of strategies for depression and anxiety management to ensure better sleep quality for patients, which will be of significant benefit to their health.

CLINICAL TRIAL REGISTRATION

The study was registered at clinical trial (NCT04027751); Trial registration: clinical trial, NCT04027751. Registered 22 July 2019; https://clinicaltrials.gov/ct2/show/NCT04027751?cond=NCT04027751&cntry=CN&draw=2&rank=1.

Sleep quality of patients with postoperative glioma at home

BACKGROUND

The sleep quality of patients with postoperative glioma at home has not been reported worldwide. In this study, the sleep quality of postoperative glioma patients at home was explored through telephone interviews.

AIM

To investigate the sleep quality of patients with postoperative glioma.

METHODS

Glioma patients who were treated and operated on at Nanjing Brain Hospital from May 2012 to August 2019 were selected as participants via convenience sampling. A total of 549 patients were recruited by telephone, and 358 of those patients responded to the Pittsburgh Sleep Quality Index (PSQI).

RESULTS

The total PSQI score was 5.19 ± 3.39 in all patients with postoperative glioma, which was higher than that of the normal group. There were 135 patients with poor sleep quality (PSQI > 7), which accounted for 37.7% of all respondents. The scores of the seven dimensions of the PSQI were sleep latency (1.22 ± 1.05), sleep disturbance (1.12 ± 0.98), subjective sleep quality (1.03 ± 0.92), habitual sleep efficiency (1.02 ± 0.91), daytime dysfunction (0.95 ± 0.43), sleep persistence (0.83 ± 0.76), and use of sleeping medication (0.25 ± 0.24). The results showed that the subjective sleep quality of the patients who underwent an operation 1-2 years ago was worse than that of the patients who underwent an operation more than 2 years ago (P < 0.05). Older patients had worse sleep latency and sleep duration scores than younger patients (P < 0.05). Sleep disturbance and daytime dysfunction were worse in patients who received postoperative radiotherapy/ chemotherapy (P < 0.05).

CONCLUSION

The sleep quality of patients with postoperative glioma at home is worse than that of normal adults. Moreover, difficulty falling asleep and sleep disorders are common complications among these patients, and age, postoperative duration, and postoperative chemoradiotherapy could affect sleep quality.

Anxiety of Older Persons Living Alone in the Community

Anxiety is a common mental health problem among older persons, and the prevalence is higher in those who live alone than those who live with others. This study aimed to explore the experiences of anxiety in older persons living alone. A descriptive phenomenological approach was used to collect and analyze the interview data from 15 older persons (5 males, 10 females) living alone in Seoul, South Korea. Four main themes emerged from the data analysis: fear of being alone, concern about having an aged body, apprehension mixed with depression and loneliness, and fear of economic difficulties. These findings indicate that older persons living alone should receive continuous attention to prevent them from being neglected and their anxiety from worsening. Above all, it is vital to ensure comprehensive support for older persons living alone to alleviate their anxiety.

Effectiveness of Self-administered Acupressure for Family Caregivers of Advanced Cancer Patients With Insomnia: A Randomized Controlled Trial

BACKGROUND

Sleep disturbances are common among family caregivers (FCs) of patients with advanced cancer. Self-administered acupressure can combat insomnia, but no study has been conducted to evaluate its efficacy in caregivers of patients with advanced cancer.

OBJECTIVE

The aim of this study is to investigate whether self-administered acupressure improves sleep quality for FCs of patients with advanced cancer.

METHODS

Family caregivers of patients with advanced cancer who reported sleep disturbance (Pittsburgh Sleep Quality Index scores >5 in recent months) were recruited. The experimental group self-administered acupressure at the Baihui (GV20), Fengchi (GB20), Neiguan (PC6), and Shenmen (HT7) points over a 12-week period, whereas the comparison group received sleep hygiene education. Sleep quality was assessed subjectively at 4, 8, and 12 weeks after the intervention using the Pittsburgh Sleep Quality Index and objectively using actigraphy measurements. Improvements in sleep quality were analyzed using a generalized estimating equation.

RESULTS

Compared with the control group, the experimental group demonstrated significantly lower sleep latency (Wald χ2 = 11.49, P = .001) and significantly better sleep efficiency (Wald χ2 = 5.24, P = .02) according to actigraphy measurements, but Pittsburgh Sleep Quality Index scores did not differ significantly between the groups.

CONCLUSIONS

Self-administered acupressure did not demonstrate favorable effects on subjective sleep quality, but did reduce sleep latency and improve sleep efficiency, according to actigraphy measurements. Self-administered acupressure may help relaxation and sedation and promote sleep in FCs.

IMPLICATIONS FOR PRACTICE

Healthcare providers may consider advising FCs to apply this self-administered acupressure to improve their sleep latency and sleep efficiency.

Psychosocial factors affecting sleep quality of pre-employed firefighters: a cross-sectional study

Background

There have been no health-related studies of pre-employed firefighters without firefighter-specific job-related factors (FSJRF). This study aimed to evaluate the sleep quality of pre-employed firefighters and to examine the relationship between sleep quality and psychosocial factors.

Methods

We conducted a self-report questionnaire survey for 602 pre-employed firefighters at 3 Fire Service Academies after brief lecture about sleep. Sleep quality and psychosocial variables such as depression, anxiety, stress and social support were evaluated. The independent 2 sample t-test, χ² test and multiple logistic regression analysis were used to evaluate the effect of the variables on the sleep quality of pre-employed firefighters.

Results

Among a total of 602 people, 347 (57.6%) had good sleep quality and 255 (42.4%) had poor sleep quality. Pittsburgh Sleep Quality Index score of them was 3.29 ± 1.41) and 7.87 ± 2.20), respectively. 24 (4.0%) were evaluated to have insomnia by Insomnia Severity Index. Logistic regression analyses showed that the depression (adjusted odds ratio [aOR]: 5.940, 95% confidence interval [CI]: 3.124–11.292), anxiety (aOR: 4.233, 95% CI: 2.138–8.381), stress (aOR: 2.880, 95% CI: 1.915–4.330) and social support (aOR: 0.959, 95% CI: 0.939–0.980) have a significant effect on sleep quality after adjusted by sex, age, smoking status, drinking status, caffeine intake, past shift working and circadian rhythm type.

Conclusions

Depression, anxiety, stress and social support were associated with sleep quality among pre-employed firefighters. Repeated follow-up studies of pre-employed firefighters are needed to further assess their change of sleep quality and identify the FSJRF that may affect the sleep quality of firefighters.

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Background

Sleep problems have become the most common complaints among the elderly. There are a few studies that explored the prevalence of poor sleep quality and its associated factors among the elderly in nursing homes. Therefore, this study aimed to examine the prevalence of poor sleep quality and its associated factors among the Chinese elderly in nursing homes.

Methods

A total of 817 elderly residents, from 24 nursing homes, were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate the strength of the association between risk factors and poor sleep quality in terms of adjusted odds ratios (AORs) and their 95% confidence intervals (CIs), and interactions of risk factors for poor sleep quality were also examined.

Results

The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among the Chinese elderly in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70–79 years old (AOR: 1.78, 95% CI: 1.08, 2.92) or 80 years old and above (AOR: 2.67, 95% CI: 1.68, 4.24); having one to two kinds of chronic diseases (AOR: 2.05, 95% CI: 1.39, 3.01) or three or more kinds of chronic diseases (AOR: 2.35, 95% CI: 1.39, 4.00); depression symptoms (AOR: 1.08, 95% CI: 1.04, 1.11), anxiety symptoms (AOR: 1.11, 95% CI: 1.05, 1.18), and social support(AOR: 0.97, 95% CI: 0.95, 0.99). Additive interactions were detected between age and anxiety symptoms (AOR: 8.34, 95% CI: 4.43, 15.69); between chronic disease and anxiety symptoms (AOR: 8.61, 95% CI; 4.28, 17.31); and between social support and anxiety symptoms (AOR: 6.43, 95% CI: 3.22, 12.86).

Conclusions

The prevalence of poor sleep quality among the elderly in nursing homes is relatively high. Besides, anxiety symptoms has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

The associations between various sleep-wake disturbances and depression in community-dwelling older adults- the Yilan study, Taiwan

Objectives: Given the close relationship between sleep-wake disturbances and depression, an in-depth investigation of such a relationship is imperative. The present study aims at elucidating the relationship between various sleep-wake disturbances and depression in older adults and at examining the influence of co-occurring anxiety on such associations.Method: A community-based survey using the cohort from the Yilan Study in Taiwan was conducted from August 2013 to November 2016. Adults aged 65 and older were randomly selected to participate in the study. The Hospital Depression and Anxiety Scale was used to measure clinical depressive and anxiety symptoms. Insomnia and daytime sleepiness were defined through the Athens Insomnia Scale and the Epworth Sleepiness Scale, respectively. Furthermore, the use of hypnotics, subjective sleep duration and sleep-wake scheduling were evaluated. Their relationship with depression was examined through logistic regression analyses.Results: There were 2620 participants surveyed and 247 (9.4%) had depression. Before controlling for anxiety, insomnia (OR: 1.78, 95% CI: 1.23-2.55), daytime sleepiness (OR: 1.79, 95% CI: 1.27-2.53), and long sleepers (OR: 1.77, 95% CI: 1.24-2.53) have a higher likelihood for depression in the multivariable regression analysis. However, when including anxiety into the multivariable regression model, only those with daytime sleepiness and long sleepers had an elevated risk for depression. Therefore, the association between insomnia and depression turned to be statistically non-significant.Conclusion: In older adults, various sleep-wake disturbances differ in their relationship with depression. In addition, daytime sleepiness and long sleep duration were mostly characteristic of depression when co-occurring anxiety was considered.

Research on Supportive Psychosocial, Drug Treatment, and Health Education Intervention and Health Management Model of Community-Residing Elderly Adults With Late Life Depression in Liaoning Province: A Protocol

BACKGROUND

Late life depression (LLD), a common mental disorder, has become an increasingly acute public health concern with a quickly expanding geriatric population worldwide. To our knowledge, however, the incidence of LLD in northern cities in China has not been empirically investigated, and many elderly people with depressive moods and mild depressive symptoms have not been given sufficient attention.

METHODS/DESIGN

This is a multi-stage and prospective study. The first stage is a cross-sectional study, investigating the epidemiological characteristics of LLD in northern China and exploring the biological, psychological, and social risk factors for developing LLD based on a set of questionnaires from 6,800 community-residing elderly adults. The second stage involves statistical analysis, by constructing a risk factor model for LLD and analyzing their direct and indirect functional routes on the basis of structural equation modeling. The third stage is an experimental study a total of 60 elderly patients with LLD and their principle caregivers will be randomly assigned to control and trial groups. The trial group patients and caregivers will undergo supportive psychosocial, drug treatment, and health education (PDH) intervention, whereas the control group patients and caregivers will be treated routinely (treatment as routine, TAR, which includes drug treatment and health education). At the end of the intervention, depressive symptoms, quality of life, and the social and cognitive functioning of the patients in the two groups will be respectively assessed at a baseline and after 6, 9, and 12 months post-intervention by employing scales and questionnaires to analyze the effectiveness of the supportive PDH intervention measures in comparison with TAR. Ultimately, a supportive PDH intervention and health management model will be obtained by combining PDH intervention with mental health institutions, community health services, and aging families as the main line.

DISCUSSION

This study will provide strong and suitable evidence for enhancing the integrated supportive PDH intervention and health management model of LLD patients among community-dwelling residents.

ETHICS

This study has been approved by the Ethics and Research Committee of the First Affiliated Hospital of China Medical University (approval No. [2019] 2019-312-2).

Mindfulness practice alters brain connectivity in community-living elders with mild cognitive impairment

AIM

There is increasing evidence that mild cognitive impairment (MCI) is associated with widespread brain dysconnectivity. Mindfulness practice, which involves focused attention to experience the present moment in a purposeful way, has been shown to confer positive psychological and functional brain changes in healthy practitioners. It is unclear whether mindfulness practice could improve functional brain connectivity in older adults with cognitive impairment.

METHODS

Forty-seven participants with MCI were randomized into two groups: a mindfulness practice group and a control group. Functional magnetic resonance imaging of the brain and neurocognitive tests were performed before and after the 3-month intervention. A temporal efficiency analysis approach was used to examine the spatiotemporal networks of the brain.

RESULTS

Participants in the mindfulness group had significantly better temporal global efficiency than controls after 3-months of intervention. Localized changes of temporal nodal properties were present in the right cingulate gyrus, insula, and left superior temporal gyrus. Together, these results suggest greater information transmission efficiency at both the global and local spatiotemporal level. In terms of cognitive function, verbal recognition memory improved in the mindfulness group compared to the controls.

CONCLUSION

Elders who practiced mindfulness had better brain network efficiency and neurocognitive function relative to controls in this study, suggesting that mindfulness may be of benefit to aging adults with early cognitive degeneration.

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.

Association between Neighborhood Environment and Quality of Sleep in Older Adult Residents Living in Japan: The JAGES 2010 Cross-Sectional Study

Poor sleep is associated with lifestyle, however, few studies have addressed the association between sleep quality and the neighborhood environment. This study aimed to investigate the associations between living environment factors and sleep quality in older people. Participants were community-dwelling people aged ≥65 years who participated in the 2010 Japanese Gerontological Evaluation Study. The data of 16,650 people (8102 men, 8548 women) were analyzed. Sleep quality (good or poor) was evaluated using a self-administered questionnaire. Multilevel Poisson regression analysis stratified by depressive status (measured by the Geriatric Depression Scale-15 [GDS]) was conducted with sleep quality as the dependent variable and social and physical environmental factors as explanatory variables. The 12,469 non-depressive respondents and 4181 depressive respondents were evaluated. The regression analysis indicated that non-depressive participants slept better if they lived in environments with few hills or steps (prevalence ratio [PR] = 0.75, 95% CI: 0.56–0.9) and with places where they felt free to drop in (PR = 0.51, 95% CI: 0.26–0.98). For depressive participants, these associations were not evident. Living alone, poor self-rated health, low income, and unemployment were associated with poor sleep quality. In addition to support with these individual factors, improving environmental factors at the neighborhood level may improve the sleep quality of community-dwelling older adults.

Factors affecting sleep among Thai people with dementia attending an outpatient psychiatric department

Sleep quality is a well-studied aspect of overall health, especially for those who have other compounded health issues like dementia. This study identified what factors affected sleep quality among Thai people with dementia who attended an outpatient psychiatric department. While we considered factors associated with poor sleep quality, we discussed the impact that family relationship specifically has on sleep quality for this population. A cross-sectional study was conducted among 80 patient–caregiver dyads. All patients were assessed by the TMSE, a neuropsychiatric assessment (Thai Mental State Examination). The PSQI (Pittsburgh Sleep Quality Index) was administered and multiple factors affecting sleep were investigated through face-to-face interviews with each patient and caregiver dyad. Interviews were conducted by a psychiatric nurse at a hospital offering outpatient psychiatric care. A chi-square test, t test, Spearman correlation, Pearson’s correlation, and logistic regression were applied to identify statistically significant associations. Overall, we found that the prevalence of poor sleep in our target population was 70%, with a high sleep score (8.14 ± 4.20). Factors affecting sleep included mental health problems, night-time cough and urinary frequency, pain and fever during the night, sleep environment problems, and stimulant use (63.8%, 57.5%, 47.5%, 20%, and 7.5%, respectively). Other factors previously associated with poor sleep quality in other studies were not associated in this study. Those with perceived poor family relationships are at a 5.57 times greater risk for poor sleep than those with perceived good family relationships. On the contrary, those without mental health problems significantly decreased their overall risk for poor sleep. Further investigation into these associations should be studied. In conclusion, health-care providers are encouraged to consider the impact of family context on sleep quality for people with dementia.