Sleep better, feel better? Effects of a CBT-I and HT-I sleep training on mental health, quality of life and stress coping in university students: a randomized pilot controlled trial

Sleep in young people: What works now and where to? A meta-review of behavioural and cognitive interventions and lifestyle factors

OBJECTIVES

1) Systematically review meta-analyses and systematic reviews that (a) explored health/lifestyle factors affecting sleep, and/or (b) investigated behavioral/psychological sleep interventions in young people (10-25-years); 2) Evaluate the quality of published literature, and, if an intervention; 3) Examine method and effectiveness of mode of delivery, to inform current clinical practice and research direction.

METHOD

A systematic search of Embase (n = 45), MEDLINE (n = 67), Web of Science (n = 375), Google Scholar (n = 138), and hand-searching was conducted. After full review, 12 papers were selected, 2 systematic reviews without, and 10 with, meta-analyses. Six examined associations between sleep and lifestyle/health, and six examined cognitive-behavioral (n = 4), or school education (n = 2), programs.

RESULTS

Electronic media use, type of day (week/end), sex, age, culture/geographical location, substance use, family environment, and evening light exposure were negatively associated with sleep, in young people. Only cognitive and/or behavioral interventions of at least 2 × 1-hr sessions improved sleep.

CONCLUSION

This paper informs sleep recommendations for young people and advises that ≥ 2 × 1-hr sessions of cognitive behavioral or behavioral therapy is the minimum to improve sleep in young people. School-based sleep interventions do not produce long-term change.

Social jetlag and quality of life among nursing students during the COVID-19 pandemic: a cross-sectional study

BACKGROUND

Amid drastic changes in the educational environment and continued substitution of in-person learning with online learning owing to the COVID-19 pandemic, it is important to analyze the predictors of quality of life among nursing students to devise strategies to enhance their quality of life. This study aimed to identify the predictors of nursing students' quality of life during the COVID-19 pandemic, focusing on social jetlag.

METHODS

In this cross-sectional study, data were collected from 198 Korean nursing students in 2021, using an online survey. Chronotype, social jetlag, depression symptoms, and quality of life were assessed using the Korean version of the Morningness-Eveningness Questionnaire, Munich Chronotype Questionnaire, Center for Epidemiological Studies Depression Scale, and World Health Organization Quality of Life Scale abbreviated version, respectively. Multiple regression analyses were performed to identify the predictors of quality of life.

RESULTS

Factors affecting participants' quality of life were age (β = - 0.19, p = .003), subjective health status (β = 0.21, p = .001), social jetlag (β = - 0.17, p = .013), and depression symptoms (β = - 0.33, p < .001). These variables accounted for 27.8% of the variance in quality of life.

CONCLUSION

As the COVID-19 pandemic continues, the social jetlag of nursing students has decreased compared to before the pandemic. Nevertheless, the results showed that mental health issues such as depression affect their quality of life. Therefore, it is necessary to devise strategies to support students' ability to adapt to the rapidly changing educational environment and promote their mental and physical health.

Sleep disorders as a prospective intervention target to prevent drug relapse

Objective

The high rate of relapse has become the primary obstacle of drug rehabilitation. In this study, we explored the relationship between sleep disorders and relapse inclination in substance users, as well as the potential mediating mechanisms and corresponding interventions.

Methods

A total of 392 male substance users were recruited to complete the questionnaires on sleep disorders, quality of life and relapse inclination. On account of this, 60 participants with sleep disorders were randomly screened and allocated to the intervention and control groups. The former received 12 weeks of Health Qigong aimed at treating sleep disorders, whereas the latter performed their regular production work.

Results

Sleep disorders had a positive effect on relapse inclination, quality of life was a potential mediator of this relationship, and 12-week Health Qigong designed to treat sleep disorders improved not only their sleep quality but also their overall quality of life, which in turn reduce the tendency to relapse.

Conclusion

Current research not only explores the high-risk factors influencing relapse, but also develops customized intervention strategies, which have theoretical and practical implications for decreasing relapse and increasing abstinence.

Health behavior interventions for university students measuring mental health outcomes: A scoping review

Introduction

Many university students have poor mental health, and co-occurring health risk behaviors. Targeting health behavior change in this population may improve mental health outcomes. This scoping review describes the extent and range of randomized controlled trials (RCT) evaluating interventions targeting health risk behaviors and measuring a mental health outcome, among university students.

Methods

Six electronic databases were searched for RCTs published until the 18^th May 2021. Eligible RCTs included university students, evaluated interventions that promoted health behavior change (i.e., dietary intake, physical activity, sedentary behavior, alcohol and drug use, smoking, and sleep), and measured a mental health-related outcome.

Results

Fifty-nine RCTs met the inclusion criteria that were published from 2000 to 2021, and over half (n = 33) were conducted in the United States. Interventions evaluated within the RCTs (n = 92) predominantly targeted changes to dietary intake (n = 41 interventions), physical activity (n = 39), or alcohol intake (n = 35). Most interventions targeted one (n = 51) or two (n = 27) health behaviors only. Included RCTs considered mental ill health outcomes (n = 24), psychological wellbeing outcomes (n = 20), or both (n = 15).

Discussion

This scoping review identified a moderate volume of experimental research investigating the impact of health behavior interventions on university students' mental health. There is scope for further research examining health behavior interventions targeting university students, particularly interventions taking a multi-behavioral approach.

Sleep quality, latency, and sleepiness are positively correlated with depression symptoms of Brazilians facing the pandemic-associated stressors of COVID-19

The severe acute respiratory syndrome coronavirus has implicated on mental health and psychopathological sequelae through viral infection. Suggestively, the pandemic-associated stressors (e.g., isolation, fear of illness, inadequate information and supply) may affect the sleep and feedback the depression symptoms, ultimately decreasing the immune system and offering further opportunities for severe acute respiratory syndrome coronavirus infection. Nevertheless, this association still requires investigation. Therefore, this study aimed to correlate the depression symptoms with sleep variables from subjects facing the restrictions of the ongoing pandemic in Brazil. One hundred sixty-two volunteers (age = 31 ± 13 years; body mass = 69.8 ± 14.9 kg; height = 168 ± 9 cm) answered the Beck Depression Inventory, Pittsburgh Sleep Quality Index/Epworth Sleepiness Scale for determination of depression symptoms and sleep variables, respectively. Significant and positive correlations were obtained between Beck score and sleep quality (r = 0.53; P = .000), sleep latency (r = 0.29; P = .000), and sleepiness (r = 0.22; P = .003), but not with sleep time (r = -0.10; P = .175). This report concluded that Brazilians struggling with pandemic-associated stressors with high depression symptoms may have negative impacts on sleep, mainly regarding its quality, latency, and sleepiness.

Psychological Interventions to Improve Sleep in Young Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials

INTRODUCTION

The effects of impaired sleep on the wellbeing of young adults are profound, and the adverse outcomes for mental health are well documented in the research literature.

OBJECTIVE

This systematic review and meta-analysis aimed to identify, summarize, and synthesize the available evidence from randomized-controlled trials (RCTs) investigating psychological interventions aimed at improving sleep and related secondary outcomes such as anxiety and depression in healthy young adults.

METHOD

Nine electronic databases (Cochrane Central Registry of Controlled Trials [CENTRAL], PubMed, Scopus, PsycNET, CINHAL, INFORMIT, Web of Science [Science and Social Citation Index], OpenSigle and EMBASE) were searched, returning 54 full-text papers for assessment, with 13 studies meeting inclusion criteria for the meta-analysis.

RESULTS

A random effects meta-analysis showed that the combined effect of all interventions was moderate (ES = -0.53, 95% CIs [- 0.69, -0.36], p < .01), reflecting the efficacy of psychological interventions at improving sleep scores at post-intervention. Subgroup analyses of individual interventions showed that cognitive-behavioral interventions improved sleep (ES = -0.67, 95% CIs [-0.77, -0.57], p < .01) and secondary outcomes for anxiety (ES = -0.35, 95% CIs [-0.56, -0.15], p < .01) and depression (ES = -0.41, 95% CIs [-0.70, -0.13], p < .01) at post-intervention.

CONCLUSION

The results of the current review support the implementation of cognitive and behavioral interventions for sleep among young adults experiencing both sleep and comorbid mental health problems.

Geographical variations in the association between bullying victimization and sleep loss among adolescents: a population-based study of 91 countries

OBJECTIVE

To examine geographical variations in the association between bullying victimization and sleep loss over worry among adolescents.

METHODS

We used data from the Global School-based Student Health Survey conducted between 2003 and 2017 in 91 countries across the globe. Sleep loss was categorised as: none/minimum (reported never or rarely sleep loss), moderate (reported sometimes), and severe (reported most of the time or always). We obtained country-specific estimates from multiple multinomial logistic regression analyses and pooled estimates from meta-analyses.

RESULTS

Of 282,036 adolescents 13-17 years of age, 28.1% (male: 25.4%, female: 31.0%) and 8.4% (male: 7.3%, female: 9.5%) of adolescents reported moderate and severe sleep loss respectively. Adolescents who frequently experienced bullying (≥3 per 30 days) reported higher prevalence of severe sleep loss. Meta-analyses showed that increased frequency of bullying victimization is associated with increased odds of sleep loss, with adolescents who experienced bullying for ≥3 days in the past 30 days were 1.65 and 2.65 times more likely than adolescents without being bullied to experience respectively moderate (OR 1.65, 95% CI: 1.59-1.72) and severe (OR 2.65, 95% CI: 2.52-2.79) sleep loss. Irrespective of sex, the association between bullying victimization and sleep loss was significant in all regions, income groups, and in all but a few countries.

CONCLUSIONS

Increased frequency of bullying victimization is positively associated with increased sleep loss among adolescents. Appropriate policies and programmes to stop bullying at school could help downgrade the risk of sleep loss among adolescents.

COVID-19-related fears and information frequency predict sleep behavior in bipolar disorder

INTRODUCTION

The coronavirus disease (COVID-19) pandemic and consequent restrictions including social distancing had a great impact on everyday life. To date, little is known about how the restrictions affected sleep, which is commonly disturbed in bipolar disorder (BD). The aim of this study was to elucidate sleep patterns during the pandemic in Austrian BD individuals.

METHODS

An online survey assessed sleep with the Pittsburgh Sleep Quality Index (PSQI) and COVID-19-associated attitudes, fears, and emotional distress of 20 BD individuals and 19 controls (HC) during the pandemic. The survey was conducted in April 2020, when very strict regulations were declared, and repeated in May, when they were loosened.

RESULTS

Individuals with BD reported overall poor sleep according to PSQI sum at both time points. Subjective sleep quality, sleep latency, daytime sleepiness, and PSQI sum were worse in individuals with BD than in HC. Individuals with BD informed themselves more frequently about pandemic-related topics. Higher information frequency and more COVID-19 fears (about the virus, own infection, contracting others) correlated with worse PSQI values. Regression models found in BD group that higher information frequency as well as higher COVID-19 fears in April predicted worse sleep characteristics in May, in particular subjective sleep quality, sleep duration, sleep efficiency, and daytime sleepiness.

CONCLUSION

As sufficient sleep duration and quality are essential for well-being and particularly important for vulnerable BD individuals, it is important that information about the pandemic is gathered to a reasonable extent and mental health professionals include COVID-19-related fears when currently treating BD.

Do non-pharmacological sleep interventions affect anxiety symptoms? A meta-analysis

Research indicates a bidirectional relationship between sleep and anxiety, with findings suggesting anxiety can precede poor sleep and vice versa. Evidence suggests sleep-related thought processes associated with anxiety are involved in the maintenance of insomnia. Previous meta-analyses provide some evidence to suggest cognitive behavioural therapy for insomnia moderately improves anxiety, yet little research has investigated the effect of other sleep interventions on anxiety symptoms. The aim of this meta-analysis was to review whether non-pharmacological sleep interventions have an impact on anxiety symptoms immediately post-intervention. A systematic search of electronic databases was conducted to identify all randomized control trials (RCTs) investigating non-pharmacological sleep interventions that included anxiety symptoms as an outcome. Forty-three RCTs (n = 5945) met full inclusion criteria and were included in a random-effects meta-analysis model. The combined effect size of non-pharmacological sleep interventions on anxiety symptoms was moderate (Hedges' g = -0.38), indicating a reduction in symptoms. Subgroup analyses found a moderate effect for those with additional physical health difficulties (g = -0.46), a moderate effect for those with additional mental health difficulties (g = -0.47) and a moderate effect for those with elevated levels of anxiety at baseline (g = -0.43). A secondary meta-analysis found a large effect of non-pharmacological sleep interventions on sleep-related thought processes (g = -0.92). These findings indicate non-pharmacological sleep interventions are effective in reducing anxiety and sleep-related thought processes, and these effects may be larger in patients with anxiety. This has clinical implications for considering sleep interventions in the treatment of anxiety.

Promoting University Students' Mental Health: A Systematic Literature Review Introducing the 4M-Model of Individual-Level Interventions

Objective: The purpose of this study is to systematically review recently published individual student-level interventions aimed at alleviating the burden of mental health challenges faced by the students and/ or at equipping them with coping mechanism that will foster their resilience. Methods: This study relied on a systematic literature review. PubMed dataset was used; the search was confined to the following period: July 2016-December 2020. Results: A total of 1,399 records were identified by the electronic search, out of which 40 studies were included in this study. The authors inductively identified four overlapping categories of interventions across all included articles, and coded them as follows: Mindfulness, Movement, Meaning, and Moderator. Accordingly, each study was linked to at least one of four overlapping categories based on the nature of the intervention(s) under investigation, leading to differing assortments of categories. Conclusions: The 4M-Model generated by this study encourages focusing on devising holistic, university-based interventions that embrace the individuality of students to improve their mental health through elements of mindfulness, movement, meaning, and moderator. Through this focused approach, university counselors are enabled to design interventions that address students' physical, psychological, emotional, and social needs.

The Association Between Dietary Zinc Intake and Health Status, Including Mental Health and Sleep Quality, Among Iranian Female Students

Epidemiological studies have suggested that there is an association between diet and mental health. The aim of the current study was to explore the association between dietary zinc intake and risk of depression, anxiety, and sleep quality distortion among female students of the Semnan University of Medical Sciences in a cross-sectional study. From January through October 2019, 142 female students were randomly selected from the Department of Nutrition and Food Science at the Semnan University of Medical Sciences by simple random sampling. Food frequency questionnaires (FFQs) were used to assess participants' dietary intake over the past 12 months. Depression, anxiety, and sleep quality were examined by the Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), and Pittsburgh Sleep Quality Index (PSQI), respectively. In the analysis, the crude model was adjusted for total energy intake (kcal), while the model was adjusted for energy intake (kcal), age, economic status, physical activity level, serum vitamin D level, and body mass index. Dietary zinc intake is significantly associated with depression (odds ratio (OR) (95% confidence interval (CI)): 2.34 (0.38-4.30)) and anxiety (OR (95% CI): 3.43 (2.36-4.50)), sleep disorders (OR (95% CI): 3.65 (2.16-5.13)), sleep duration (OR (95% CI): 2.62 (0.39-4.86)), and daytime dysfunction (OR (95% CI): 5.31 (2.84-7.78)) in the model, as well as sleep delay (OR (95% CI): 1.80 (1.05-2.55)) and mental quality of sleep (OR (95% CI): 1.63 (1.10-2.15)) in the crude analysis. This cross-sectional study supports the inverse association between dietary zinc intake and mood disorders, including depression and anxiety, and some indices of sleep disturbance in the Iranian female students. Further cohort or intervention studies are required to draw a firm link between dietary zinc intake and mental health.