Examining the Relationship Between Worry and Sleep: A Daily Process Approach

Sleep measures as a predictor of suicidal ideation among high-risk adolescents

Suicide is the second leading cause of death among youth aged 15-24 years. Identifying modifiable risk factors relevant to adolescents is crucial for suicide prevention. Sleep patterns have been linked to suicidality in adults, but lack sufficient study in youth. This ecological momentary assessment (EMA) study aimed to explore the relationship between objectively and subjectively measured sleep characteristics and next-day suicidal ideation in high-risk youth. We included 29 adolescents (12-18 years old) admitted to the inpatient psychiatric ward post-suicide attempt or due to suicidal intent within the previous month. We conducted objective (actigraphy) and subjective (sleep diary) sleep pattern assessments over ten consecutive days. Daily suicidal ideation was evaluated using a questionnaire based on the validated C-SSRS interview. A significant positive association was observed between sleep onset latency (SOL) and expressing a "death wish" the following day (OR = 1.06, 95% CI [1-1.11], p = .04), with each minute of longer SOL increased the risk for a death wish the following day by 6%. In addition, a marginally significant negative association was observed between total sleep time (TST) and expressing a "death wish" the following day (OR = 0.57, 95% CI [0.3-1.11], p = 0.1), with each one-hour decrease in objectively measured TST increasing the odds of a death wish by 43%. Our study highlights the interplay between sleep patterns and suicidal ideation, with SOL and TST playing a significant role that may function as proximal risk factors for suicidality and as a target for intervention while treating suicidal youth.

Sleep-specific repetitive negative thinking processes and prenatal insomnia symptoms: A naturalistic follow-up study from mid- to late-pregnancy

Insomnia symptoms are highly prevalent during pregnancy; therefore, identifying modifiable risk markers is important for risk prediction and early intervention. This study aimed to examine the role of sleep-specific rumination and sleep-specific worry in prenatal insomnia symptoms. A total of 859 married pregnant women without history of psychiatric illnesses (mean [standard deviation] age, 30.15 [3.86] years; 593 [69.0%] with a bachelor's degree or above) were enrolled from the obstetrical outpatient departments of two tertiary comprehensive hospitals in Shandong, China, who completed assessments of sleep-specific rumination, sleep-specific worry, and insomnia symptoms at baseline (mid-pregnancy) and follow-up (late-pregnancy). Measures included Daytime Insomnia Symptom Response Scale, Anxiety and Preoccupation about Sleep Questionnaire, and Insomnia Severity Index. Our results showed that after controlling for covariates, both sleep-specific rumination and sleep-specific worry showed significant concurrent and prospective associations with insomnia symptoms, and the increases in scores of sleep-specific rumination and sleep-specific worry over time were significantly associated with the increased likelihood of insomnia symptoms at follow-up. Moreover, the increases in sleep-specific rumination and sleep-specific worry over time were significantly associated with the increased likelihood of reporting newly developed insomnia symptoms rather than persistent normal sleep. However, the changes in sleep-specific rumination and sleep-specific worry were not significantly associated with the likelihood of reporting persistent or remitted insomnia symptoms rather than persistent normal sleep. In conclusion, sleep-specific rumination and sleep-specific worry were significantly associated with concurrent or subsequent insomnia symptoms; thus, they may be promising cognitive risk markers and intervention targets.

Rumination mediates associations between microaggressions and sleep quality in Black Americans: the toll of racial microstressors

Disparities in health outcomes between Black and White Americans are well-documented, including sleep quality, and disparities in sleep may lead to disparities in health over the life course. A meta-model indicates that cognitive processes may underly the connection between race and poor sleep quality, and ultimately, health disparities. That is, there are race-specific stressors that disproportionately affect Black Americans, which are associated with poor health through biological, cognitive, and behavioral mechanisms (e.g., sleep). Among these race-specific stressors is discrimination, which has been linked to poor sleep quality, and there is a body of literature connecting perseverative cognition (e.g., rumination and worry or vigilance) to poor sleep. Microaggressions, a more subtle but pervasive form of discrimination, are another race-specific stressor. Although less research has considered the connection of microaggressions to perseverative cognition, there are some studies linking microaggressions to health outcomes and sleep. Therefore, using a cross-sectional survey, we tested the following hypotheses: racism-related vigilance and rumination would mediate the relationship between discrimination and poor sleep as well as between microaggressions and poor sleep among Black Americans (N = 223; mean age = 35.77 years, 53.8% men, 86% employed, 66.8% with college degree or higher education). Results of seven parallel mediation models showed that neither rumination nor racism-related vigilance mediated a relationship between discrimination and poor sleep quality. However, rumination partially mediated relationships between the six microaggression sub-scales and poor sleep quality: there were significant indirect effects for Foreigner/Not Belonging (β = .13, SE = 0.03, 95% CI 0.08, 0.20), Criminality (β = .11, SE = 0.03, 95% CI 0.05, 0.17), Sexualization (β = .10, SE = 0.03, 95% CI 0.05, 0.17), Low-Achieving/Undesirable (β = .10, SE = 0.03, 95% CI 0.05, 0.15), Invisibility (β = .15, SE = 0.04, 95% CI 0.08, 0.23), and Environmental Invalidations (β = .15, SE = 0.04, 95% CI 0.08, 0.23). Overall, these findings indicate support for the meta-model, demonstrating a specific pathway from racial microstressors to poor sleep quality. Furthermore, these results suggest the importance of developing clinical and community approaches to address the impact of microaggressions on Black Americans' sleep quality.

Insomnia Severity Predicts Psychiatric Symptoms: A Cross-Sectional Study Investigating the Partial Mediations of Worry and Rumination

OBJECTIVE

Insomnia as a disorder on its own or as a symptom of other mental disorders can lead to significant distress and lower quality of life. By exacerbating negative affect and emotion dysregulation, poor sleep and insomnia can contribute to the initiation and maintenance of mental disorders. The aim of this cross-sectional study was to investigate the relationship between insomnia severity and overall psychiatric symptoms (anxiety, depression, obsessive-compulsive symptoms, somatization, phobic anxiety, hostility, interpersonal sensitivity, paranoid ideation, and psychoticism), and the mediational roles of worry and rumination in this relationship.

METHOD

The data was collected from a community sample of 1444 participants (females 69.39%, Mage = 27.95, SD = 9.37) who completed self-report measures of insomnia severity, worry, rumination, and psychiatric symptoms. The mediational roles of worry and rumination were tested with mediation analysis using the PROCESS Macro.

RESULTS

It was found that insomnia severity (β = 0.20, p < .001) significantly predicted psychiatric symptoms directly and via worry and rumination (β = 0.33, p < .001), meaning that worry and rumination partially mediated the relationship between insomnia severity and psychiatric symptoms. The findings were similar after controlling for smoking status, daily screen time, coffee consumption in the evening, weekly exercise frequency, and pre-sleep screen time.

CONCLUSIONS

Interventions targeting the reduction of insomnia severity and maladaptive emotion regulation strategies (e.g., worry and rumination), as well as the enhancement of adaptive emotion regulation strategies (e.g., positive refocusing and mindfulness), may alleviate the adverse effects of insomnia on psychiatric symptoms.

A game-based learning approach to sleep hygiene education: a pilot investigation

Introduction

Sleep hygiene education (SHE) consists of environmental and behavioral practices primarily intended to reduce sleep problems. Currently considered ineffective as a stand-alone treatment, the manner in which the education is typically delivered may be ineffective for the acquisition of new knowledge. The purpose of this study was to determine if a more engaging teaching medium may improve the efficacy of sleep hygiene education. This study examined the use of game-based learning to teach SHE to individuals with sleep problems.

Methods

35 participants played the SHE games for 30 days. Differences in pre- and post-state anxiety and sleep quality measures were examined.

Results

Participants had significant improvements in sleep quality and state anxiety after using the app for 30 days, although scores for the majority of patients remained elevated.

Discussion

This pilot investigation provides initial evidence for the efficacy of a game-based approach to SHE.

Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China's Xizang Region: The Mediating Effect of Cognitive Emotion Regulation

BACKGROUND

While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms.

METHODS

The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China's Xizang region.

RESULTS

The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c'1 = 0.586 (0. 544-0.628), and c'2 = 0.728 (0.683-0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = -0.005 (-0.011--0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106-0.147), and effect a2b4 = 0.145 (0.123-0.167).

CONCLUSIONS

Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.

A pooled analysis of temporal trends in the prevalence of anxiety-induced sleep loss among adolescents aged 12-15 years across 29 countries

Background

Previous studies examining trends in sleep loss among adolescents have mainly focused on single countriy and region. This study aims to analyze temporal trends in the prevalence of anxiety-induced sleep loss among adolescents from 29 countries in five regions.

Methods

This study used data from the Global School-based Student Health Survey 2003-2018, which surveyed 215,380 adolescents from 29 countries with at least two cross-sectional surveys per country. The weighted country-specific prevalence of anxiety-induced sleep loss and trends across the survey years were evaluated. Random- or fixed-effects meta-analyses were used to calculate pooled prevalence and temporal trends across 29 countries.

Results

Temporal variations in anxiety-induced sleep loss across countries were identified. Increasing (Suriname, Vanuatu, and Myanmar), decreasing (Namibia, Jamaica, the Philippines, Samoa, and Indonesia), and stable (all other countries) trends in anxiety-induced sleep loss were noted. The pooled weighted prevalence of anxiety-induced sleep loss was 11.35 and 10.67% in the first and last surveys, respectively. There was no meaningful change in the propensity to have anxiety-related sleep disorders over time, with the reduction and OR of these two surveys being 0.54 (-0.53-1.61) and 0.98 (0.88-1.10). For subgroup analyses, no significant differences in pooled anxiety-induced sleep loss trends were seen between the two surveys for different sexes, regions, incomes, survey years in the first wave, survey periods, or number of surveys.

Conclusion

Trends in the prevalence of anxiety-induced sleep loss in adolescents varied significantly across different countries. Generally, a stable trend was observed in 21 of the 29 countries surveyed. Our study provides data that can aid policymakers in establishing country-specific strategies for reducing anxiety-induced sleep loss in adolescents.

Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students

Background

College students report disturbed sleep patterns that can negatively impact their wellbeing and academic performance.

Objectives

This study examined the effect of a 4-week sleep hygiene program that included sleep education and actigraph sleep trackers (FITBITs) on improving sleep quality and reducing psychological worry without control group.

Design settings and participants

A pilot quasi-experimental design, participants were randomly selected medical and health sciences from a university students in the United-Arab-Emirates.

Methods

Students were asked to wear FITBITs and log their daily sleep data and completed the Pittsburgh Sleep Quality Index (PSQI) and Penn State Worry Questionnaire (PSWQ). Extensive sleep hygiene education was delivered via lectures, a WhatsApp group, and the Blackboard platform. In total, 50 students completed pre-and post-assessments and returned FITBIT data.

Results

There was a significant difference in the prevalence of good sleep postintervention compared with pre-intervention (46% vs. 28%; p = 0.0126). The mean PSQI score was significantly lower post-intervention compared with pre-intervention (6.17 ± 3.16 vs. 7.12.87; p = 0.04, Cohen's d 0.33). After the intervention, subjective sleep quality, sleep latency, and daytime dysfunction were significantly improved compared with pre-intervention (p < 0.05). In addition, FITBIT data showed total sleep time and the number of restless episodes per night were significantly improved postintervention compared with pre-intervention (p = 0.013). The mean PSWQ score significantly decreased from pre-intervention to p = 0.049, Cohen' d = 0.25. The correlation between PSQI and PSWQ scores was significant post-intervention (β = 0.40, p = 0.02).

Conclusion

Our results may inform university educational policy and curricular reform to incorporate sleep hygiene awareness programs to empower students and improve their sleep habits.

Linking repetitive negative thinking and insomnia symptoms: A longitudinal trait-state model

Sleep disturbance is highly debilitating, and an abundance of research suggests that repetitive negative thinking (i.e., rumination, worry) may contribute to the development and maintenance of maladaptive sleep patterns, such as insomnia symptoms. Although repetitive negative thinking is often conceptualized as a 'trait' risk factor for anxiety-related disorders, it is unclear if it consists of time-varying (TV) or state-like features versus time-invariant (TI) or trait-like characteristics. Furthermore, it is unclear if it is the TV or TI components of repetitive negative thinking that contribute to insomnia symptoms that is commonly observed in anxiety-related disorders. In a 6-wave, 5-month longitudinal study, community participants (N = 1219) completed measures of rumination, worry, transdiagnostic repetitive negative thinking, and insomnia symptoms. A latent variable (trait-state-occasion) model was applied to the measures of repetitive negative thinking. The results showed that although estimates of TI factor variance and TV factor variance were both significant for latent repetitive negative thinking, worry, and rumination, the proportion of TI factor variance (0.82-0.89) was greater than the amount of TV factor variance (0.11-0.19). Although TV factor stability was statistically significant for latent repetitive negative thinking, rumination, and worry, the magnitude of the coefficients was small. Furthermore, regression weights for the latent repetitive negative thinking, rumination, and worry TI factor were significant and larger than those for the TV factor in predicting insomnia symptoms at each of the six time points. These findings suggest that repetitive negative thinking is largely TI, and it is this TI component that contributes to insomnia symptoms. Implications for conceptualizations of repetitive negative thinking as a predisposing and perpetuating factor in insomnia for anxiety and related disorders are discussed.

Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention

OBJECTIVE

Generalized anxiety disorder (GAD) is a prevalent mental health disorder that often goes untreated. A core aspect of GAD is worry, which is associated with negative health outcomes, accentuating a need for simple treatments for worry. The present study leveraged pretreatment individual differences to predict personalized treatment response to a digital intervention.

METHODS

Linear mixed-effect models were used to model changes in daytime and nighttime worry duration and frequency for 163 participants who completed a six-day worry postponement intervention. Ensemble-based machine learning regression and classification models were implemented to predict changes in worry across the intervention. Model feature importance was derived using SHapley Additive exPlanation (SHAP).

RESULTS

Moderate predictive performance was obtained for predicting changes in daytime worry duration (test r2 = 0.221, AUC = 0.77) and nighttime worry frequency (test r2 = 0.164, AUC = 0.72), while poor predictive performance was obtained for nighttime worry duration and daytime worry frequency. Baseline levels of worry and subjective health complaints were most important in driving model predictions.

LIMITATIONS

A complete-case analysis was leveraged to analyze the present data, which was collected from participants that were Dutch and majority female.

CONCLUSIONS

This study suggests that treatment response to a digital intervention for GAD can be accurately predicted using baseline characteristics. Particularly, this worry postponement intervention may be most beneficial for individuals with high baseline worry but fewer subjective health complaints. The present findings highlight the complexities of and need for further research into daily worry dynamics and the personalizable utility of digital interventions.

Moderators of Cognitive Behavioral Treatment for Insomnia on Depression and Anxiety Outcomes

PURPOSE OF REVIEW

With a focus on reviewing adequately powered randomized controlled trials, we present recent research on the potential of cognitive behavioral therapy for insomnia (CBT-I) to improve depression and anxiety outcomes among patients with insomnia and one of the following comorbid psychiatric disorders: major depressive disorder (MDD), generalized anxiety disorder (GAD), or posttraumatic stress disorder (PTSD). We also examine potential moderators of CBT-I on depression and anxiety outcomes in this population.

RECENT FINDINGS

Despite high comorbidity rates, current behavioral and pharmacological treatments for MDD, GAD, and PTSD do not substantially target or improve insomnia symptoms; residual insomnia is exceedingly common even among patients who experience remission. Insomnia plays a critical role in the onset and maintenance of depression and anxiety, and treating insomnia with CBT-I may improve global outcomes for patients with MDD, GAD, and PTSD. CBT-I is superior to traditional depression/anxiety treatment in improving insomnia symptoms among patients with comorbid psychiatric disorders. Results are mixed on whether CBT-I (either alone or augmented with depression/anxiety treatment) is effective in improving overall MDD, GAD, and PTSD outcomes. Evening circadian preference and depression/anxiety symptom severity may moderate the effect of CBT-I on depression and anxiety outcomes.

Pinpointing core and pathway symptoms among sleep disturbance, anxiety, worry, and eating disorder symptoms in anorexia nervosa and atypical anorexia nervosa

BACKGROUND

Sleep, anxiety, and worry are strongly related to psychiatric illness and in particular to eating disorder (ED) symptoms. However, it is unclear how these specific sleep and anxiety symptoms are interrelated with anorexia nervosa (AN) pathology.

METHODS

We utilized network analysis to test our theoretically-based conceptual model, by identifying core features and illness (i.e., bridge) pathways among sleep disturbance, anxiety, worry, and ED symptoms in 267 participants with a diagnosis of AN or atypical AN.

RESULTS

The following core symptoms were identified: shape judgement, restriction, and feeling tired. The strongest bridge symptoms included worry, feeling tired, loss of energy, and physical anxiety. Worry was connected positively to fasting, fear of gaining weight or becoming fat, loss of energy, and feeling tired, and negatively to changes in sleeping patterns. Feeling tired was connected to restriction, fasting, binge eating, and worry. Loss of energy was connected to loss of control over eating and worry. Physical anxiety was negatively connected to restriction.

CONCLUSIONS

We identified specific core symptoms and illness pathways supporting our theoretical conceptual model of how ED symptoms, anxiety, worry, and sleep disturbances inter-relate in AN and atypical AN. In particular we found that symptoms associated with sleep and anxiety were central and had strong connections with AN symptoms. In addition to targeting AN symptoms, these data suggest that targeting sleep disturbance, anxiety, and worry could improve treatment for AN.

Sleep during COVID-19 lockdown: A cross-cultural study investigating job system relevance

Our study aimed to assess the change in the sleep patterns during the Coronavirus lockdown in five regions (Austria/Germany, Ukraine, Greece, Cuba and Brazil), using online surveys, translated in each language. Part of the cohort (age 25-65, well-educated) was collected directly during lockdown, to which retrospective cross-sectional data from and after lockdown (retrospective) questionnaires were added. We investigated sleep times and sleep quality changes from before to during lockdown and found that, during lockdown, participants had (i) worse perceived sleep quality if worried by COVID-19, (ii) a shift of bedtimes to later hours during workdays, and (iii) a sleep loss on free days (resulting from more overall sleep during workdays in non-system relevant jobs), leading to (iv) a marked reduction of social jetlag across all cultures. For further analyses we directly compared system relevant and system irrelevant jobs, because it was assumed that the nature of the lockdown's consequences is dependent upon system relevance. System relevant jobs were found to have earlier wake-up times as well as shorter total sleep times on workdays, leading to higher social jetlag for people in system relevant jobs. Cultural differences revealed a general effect that participants from Greece and Ukraine had later bedtimes (on both work and free days) and wake-up times (on workdays) than Cuba, Brazil and Austria, irrespective of COVID-19 lockdown restrictions.

Work-related rumination and worry at bedtime are associated with worse sleep indicators in schoolteachers: a study based on actigraphy and sleep diaries

OBJECTIVE/BACKGROUND

Work-related rumination and worry are indicators of occupational stress which can impact sleep when they occur close to bedtime. This study examined the relationship between these repetitive thoughts before sleep with objective and subjective sleep parameters.

METHODS

A microlongitudinal study was carried out with schoolteachers who answered questions on rumination and worry before sleep, wore a wrist actigraph, and completed a sleep diary for 5 to 7 consecutive days. Analysis used mixed-effects repeated measures linear models adjusted for sociodemographic, lifestyle, and health status.

RESULTS

Among the 134 schoolteachers studied, 64.9% were women and were aged 41.9 ± 9.5 years. In the fully adjusted analysis, actigraphy indicated that a wake-up time <6:30 a.m. was associated with both rumination (relative risk (RR) = 1.67; 95% confidence interval (CI) = 1.21-2.31) and worry (RR = 2.44; 95%CI = 1.63-3.64). Moreover, actigraphy-measured nighttime sleep duration <7 h (RR = 1.23; 95%CI = 1.03-1.47) and self-reported sleep latency >15 min (RR = 1.43; 95%CI = 1.02-2.02) were associated with work-related worry.

CONCLUSIONS

The occurrence of work-related repetitive thoughts before sleep, particularly worry about next-day issues, is associated with an increased risk of impaired objective and subjective sleep indicators. These findings suggest that these cognitive processes related to work should be addressed in strategies aimed at preventing and treating sleep disturbances and their individual and occupational consequences.

Tobacco use and sleep loss over worry among adolescents aged 12-15 years: A population-based study of 38 countries

BACKGROUND

Sleep loss is increasingly recognized as a key public health issue among adolescents. Tobacco use is one of the leading causes of preventable disease and death in the world. Yet, the association between tobacco use and sleep loss has been understudied in the adolescent population. This study aimed to examine this association utilizing nationally representative samples of adolescents.

METHODS

Cross-sectional data on 109 408 adolescents (12-15 years) from 38 countries were derived from the Global School-based Student Health Survey (GSHS). Weighted age- and sex-adjusted distribution of each sample characteristics was calculated. Multivariate logistic regression and meta-analyses were performed to assess the association of sleep loss over worry with any tobacco use, while controlling for important confounders, including age, gender, loneliness, physical attack victimization, parental knowledge/warmth, and perceived peer kindness/helpfulness.

RESULTS

The weighted age- and sex-adjusted prevalence of SLOW and use of any tobacco product was 6.4% and 7.4% respectively across 38 countries. The overall odds of sleep loss over worry were 1.89 times (95% confidence interval (CI) = 1.75, 2.03) greater among tobacco users than among non-users, with low level of between-country heterogeneity (I2  = 24.0%, P = 0.095). The odds of sleep loss over worry were 1.61 times (95% CI = 1.52, 1.71) greater among those reporting physical attack victimization than among non-victims, and 5.55 times (95% CI = 4.95, 6.21) greater among those reporting frequent than less frequent loneliness.

CONCLUSIONS

Tobacco use, physical attack victimization, and loneliness can be key indicators of SLOW, and may be included in the assessment and prevention of SLOW to generate a more comprehensive picture. Further studies are needed to determine if reducing tobacco use, loneliness, or physical attack victimization would make a meaningful impact on reducing SLOW.

Can mindfulness mechanistically target worry to improve sleep disturbances? Theory and study protocol for app-based anxiety program

OBJECTIVE

Anxiety is associated with sleep disturbance and insomnia. Mindfulness-based interventions, such as mindfulness-based stress reduction, have shown consistent anxiety reduction. Mindfulness training has been theorized to affect reinforcement learning, affecting habitual behaviors such as smoking and overeating, but a direct mechanistic link between the use of mindfulness training for anxiety reduction and improvement in sleep has not been studied. Moreover, the mechanisms by which mindfulness might affect worry and subsequent sleep disturbances have not been elucidated. This study protocol evaluates the impact an app-based mindfulness training program for anxiety might have on decreasing worry and improvement in sleep.

METHOD

A randomized controlled study will be conducted in approximately 80 adults with worry that interferes with their sleep. Participants will be randomly allocated (1:1) to two groups: treatment-as-usual (TAU) or TAU + App-Based Mindfulness Training (Unwinding Anxiety app). The primary outcomes will be the non-reactivity subscale of the Five Facet Mindfulness Questionnaire and Patient-Reported Outcomes Measurement Information System sleep quality measures (Baer et al., 2008; Yu et al., 2011). Secondary outcomes will include the Penn State Worry Questionnaire, Generalized Anxiety Disorder-7, and Multidimensional Assessment of Interoceptive Awareness Scale (Mehling et al., 2012; Meyer, Miller, Metzger, & Borkovec, 1990; Spitzer, Kroenke, Williams, & Löwe, 2006).

DISCUSSION

This study will be the first to test the mechanism of app-based mindfulness training on worry and sleep disturbance. Testing the mechanistic effects of mindfulness training using the science of behavior change framework will help move the field forward both in further elucidation of potential mechanisms of mindfulness (e.g., targeting reinforcement learning) and determining whether such a platform might be a viable method for delivering high-fidelity treatment at scale and for a low cost. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Effects of Presleep Cognitive Intrusions on Subjective Sleep and Next-Day Cognitive Performance in Insomnia

Presleep cognitive intrusions about next-day activities, or proprioceptive and environmental stimuli, are thought to trigger insomnia in neurocognitive models. Recent research showed that intrusive cognitions at bedtime may interact with sleep in influencing next-day emotional functioning; their effects on cognitive functioning, however, is largely unknown. We tested the effects of presleep cognitive intrusions on subjective sleep and next-day cognitive performance in 80 participants, either with chronic insomnia or good sleepers. Presleep intrusions were inspected using a validated questionnaire and sleep was assessed with a sleep diary. Cognitive functioning the following morning was measured using a task-switching paradigm assessing executive functions. Structural equation modeling with manifest variables (i.e., path analysis) shows that presleep cognitive intrusions predicted increased sleep onset latency and wake after sleep onset, and lowered sleep efficiency. Moreover, task-switching accuracy was independently predicted by presleep cognitive intrusions in the previous night in those with insomnia but not in controls, beyond the effects of trait anxiety, task-switching components, and previous night's sleep. Findings confirm detrimental effects of presleep intrusions on sleep continuity and suggest the presence of links between presleep conscious activity and next-day executive performance in patients with insomnia, with the need to better elucidate potential mediators.

Negative health consequences of pain catastrophizing among retired National Football League athletes

OBJECTIVE

This study examined the association between pain catastrophizing with pain interference, depressive symptoms, and health-related quality of life (HRQoL) among National Football League (NFL) retirees.

METHOD

Former NFL athletes from the Retired NFL Players Association (N = 90) were recruited from 2018 to 2019 via telephone and were administered measures of pain, substance use, depressive symptoms, and HRQoL. Multiple linear and binomial regression analyses examined the association of pain catastrophizing with pain interference, depressive symptoms, and HRQoL while controlling for covariates (i.e., pain intensity, concussions, opioid use, binge alcohol use, years since NFL retirement, and marital status).

RESULTS

Many retired NFL athletes reported moderate-severe depressive symptoms as well as poorer perceived physical health compared with general medical patients. Greater pain catastrophizing was associated with more severe pain interference, greater odds of reporting moderate-severe depressive symptoms, and lower odds of reporting average and above physical and mental HRQoL after adjusting for relevant covariates. Concussions were not associated with any of the study outcomes.

CONCLUSIONS

Given the findings from this study, health care professionals should monitor symptoms of catastrophizing among current and retired NFL athletes. Assessment and requisite treatment of pain catastrophizing may assist these elite athletes in reducing depressive symptoms, while improving pain interference and HRQoL in this population. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Daily Worry in Trauma-Exposed Afghan Refugees: Relationship with Affect and Sleep in a Study Using Ecological Momentary Assessment

Background

Repetitive negative thinking—and worry as a common variant—have been suggested to be transdiagnostic maintaining factors of psychopathology in refugees. Using an ecological momentary assessment (EMA) approach, this study tested the feasibility of EMA and the hypothesis of a self-reinforcing relationship (a) between worry and affect and (b) between worry and sleep in refugees. Additionally, we examined whether worry interacts with postmigration stress to impact on affect and sleep.

Methods

For 1 week, 45 trauma-exposed Afghan refugees received five prompts per day asking them to report on momentary levels of worrying and negative as well as positive affect. In addition, sleep quality was assessed in the morning and the occurrence of postmigration stress at night.

Results

Our findings did not indicate a bidirectional relationships (a) between worry and affective experiences and (b) between worry and poor sleep quality. However, worry experienced on a given day predicted increased negative affect on the next day; in turn, positive affect predicted decreased worrying on the next day. Hypotheses on the interaction between worry and stress in predicting affect and sleep were not supported.

Conclusion

These preliminary findings suggest unidirectional effects of daily worry on negative affect and positive affect on daily worry. However, the low compliance rate and the small sample size precludes drawing firm conclusions. Implications for further EMA research among refugees are discussed.

Emotional exhaustion and sleep-related worry as serial mediators between sleep disturbance and depressive symptoms in student nurses: A longitudinal analysis

OBJECTIVE

The multi-wave longitudinal study was to explore the underlying mechanisms between sleep disturbance and depressive symptoms for up to 9.5 months among student nurses and to examine whether emotional exhaustion and sleep-related worry could be the mediators.

METHODS

856 student nurses aged 15-24 years (mean age = 17.8 years; all female) were recruited from a nursing school. Participants reported demographic variables (age, sibling, location, health condition, family monthly income and parents' marital quality) at baseline (Time1), Body Mass Index, weekly exercise, sleep disturbance and depressive symptoms at 3-month into internship (Time2), emotional exhaustion and sleep-related worry at 6-month into internship (Time3), and depressive symptoms at 9.5-month follow-up (Time4). Mediation analyses with bootstrapping were conducted to investigate the mediating role of emotional exhaustion and sleep-related worry in the relationship between sleep disturbance and depressive symptoms.

RESULTS

Adjusted analyses suggested that the direct effect of sleep disturbance on depressive symptoms was not significant (β = 0.026, SE = 0.069, p = .71). Mediation analyses revealed two significant indirect effects between Time2 sleep disturbance and Time4 depressive symptoms with the mediating effect of emotional exhaustion (β = 0.019, SE = 0.009, BC95%CI [0.0036,0.0405]) and sleep-related worry (β = 0.016, SE = 0.008, BC95%CI [0.0026,0.0337]) respectively. When testing serial multiple mediation, the specific indirect effect of sleep disturbance on depressive symptoms through both emotional exhaustion and sleep-related worry was significant (β = 0.005, SE = 0.003, BC95%CI [0.0004,0.0123]).

CONCLUSIONS

Emotional exhaustion and sleep-related worry were positively associated with sleep disturbance and depressive symptoms.

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

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

The bidirectional association between sleep problems and anxiety symptoms in adolescents: a TRAILS report

BACKGROUND

Previous studies have suggested a bidirectional association between sleep problems and anxiety symptoms in adolescents. These studies used methods that do not separate between-person effects from within-person effects, and therefore their conclusions may not pertain to within-person mutual influences of sleep and anxiety. We examined bidirectional associations between sleep problems and anxiety during adolescence and young adulthood while differentiating between person effects from within-person effects.

METHODS

Data came from the Dutch TRacking Adolescents' Individual Lives Survey (TRAILS), a prospective cohort study including six waves of data spanning 15 years. Young adolescents (N = 2230, mean age at baseline 11.1 years) were followed every 2-3 years until young adulthood (mean age 25.6 years). Sleep problems and anxiety symptoms were measured by the Youth Self-Report, Adult Self-Report and Nottingham Health Profile. Temporal associations between sleep and anxiety were investigated using the random intercept cross-lagged panel model.

RESULTS

Across individuals, sleep problems were significantly associated with (β = 0.60, p < 0.001). At the within-person level, there were significant cross-sectional associations between sleep problems and anxiety symptoms at all waves (β = 0.12-0.34, p < 0.001). In addition, poor sleep predicted greater anxiety symptoms between the first and second, and between the third and fourth assessment wave. The reverse association was not statistically significant.

CONCLUSIONS

Within-person associations between sleep problems and anxiety are considerably weaker than between-person associations. Yet, our findings tentatively suggest that poor sleep, especially during early and mid-adolescence, may precede anxiety symptoms, and that anxiety might be prevented by alleviating sleep problems in young adolescents.

Heavy Study Investment in Italian College Students. An Analysis of Loscalzo and Giannini's (2017) Studyholism Comprehensive Model

Loscalzo and Giannini (2017) recently proposed the construct of studyholism (or obsession toward study) and a theoretical model highlighting its potential antecedents and outcomes. This study aims to analyze some of these antecedents and outcomes by means of a path analysis including both studyholism and study engagement. The participants are 1,958 Italian college students aged between 18 and 60 years (M age = 23.53 ± 4.43) and heterogeneous as far as their year and major of study are concerned, as well as concerning the city in which they attended their courses. They filled some instruments that allow evaluating studyholism and study engagement, along with individual and situational antecedents (e.g., worry and overstudy climate) and outcomes (e.g., sleep quality, study-relationships conflict, dropout intention). In addition to the path model we performed aiming to test the direct effects we hypothesized, we performed two MANOVAs for analyzing if there were differences on the antecedents and outcomes among the four kinds of student suggested by Loscalzo and Giannini (2017; i.e., engaged studyholics, disengaged studyholics, engaged students, and detached students). The results of this study support Loscalzo and Giannini's (2017) conceptualization of studyholism as an internalizing disorder, since worry is the strongest predictor of studyholism (β = .67, p < .001). In addition, in line with Loscalzo and Giannini's (2017) theorization, we found some differences among the four kinds of student on both the antecedents and outcomes we analyzed. This study has critical theoretical, preventive, and clinical implications. It supports the definition of studyholism as an OCD-related disorder. Also, about preventive implications, it shows that interventions aiming to favor students' wellbeing should target also engaged students, since study engagement predicts social impairment as well as studyholism. Finally, it suggests that in a clinical setting, it is important to distinguish between disengaged studyholics and engaged studyholics as they have different relationships with some antecedents and outcomes; also, they both have functional impairment, even if in different areas.

Risk Factors for Developing Comorbid Sleeping Problems: Results of a Survey of 1,925 Women Over 50 With a Chronic Health Condition

Objective: To test the association between sleeping problems and multiple epidemiological factors among women over 50 with a chronic condition. Method: The Medical Outcomes Study Sleep Scale (MOS-SS) was employed to measure sleep problems among 1,925 participants with chronic conditions who also responded to questions about health service use, self-care and demographics. Results: About 43% of women reported sleeping problems. Women were more likely to have a sleeping problem if they reported some difficulties with available income, odds ratio (OR) = 1.61; 95% confidence interval (CI): [1.27, 2.04]; p < .005, or were struggling with available income (OR = 2.84; 95% CI: [2.04, 3.96]; p < .005). Women were less likely to have sleeping problems if they were highly physically active (OR = .63; 95% CI: [0.51, 0.79]; p < .005). Discussion: Medical professionals should be aware of the significant risk of sleeping problems among mid-age and older women with chronic health conditions, particularly those who have financial concerns, are sedentary, or are not highly physically active.

High-Frequency Heart Rate Variability Reactivity and Trait Worry Interact to Predict the Development of Sleep Disturbances in Response to a Naturalistic Stressor

BACKGROUND

High-frequency heart rate variability (HF-HRV) reactivity was proposed as a vulnerability factor for stress-induced sleep disturbances. Its effect may be amplified among individuals with high trait worry or sleep reactivity.

PURPOSE

This study evaluated whether HF-HRV reactivity to a worry induction, sleep reactivity, and trait worry predict increases in sleep disturbances in response to academic stress, a naturalistic stressor.

METHOD

A longitudinal study following 102 undergraduate students during an academic semester with well-defined periods of lower and higher academic stress was conducted. HF-HRV reactivity to a worry induction, trait worry using the Penn State Worry Questionnaire, and sleep reactivity using the Ford Insomnia Stress Reactivity Test were measured during the low stress period. Sleep disturbances using the Pittsburgh Sleep Quality Index were assessed twice during the lower stress period and three times during the higher stress period.

RESULTS

Greater reductions in HF-HRV in response to the worry induction predicted increases in sleep disturbances from the lower to the higher academic stress period. Trait worry moderated this association: individuals with both higher trait worry and greater HF-HRV reactivity to worry had larger increases in stress-related sleep disturbances over time, compared to participants with lower trait worry and HF-HRV reactivity. A similar, but marginally significant effect was found for sleep reactivity.

CONCLUSION

This study supports the role of HF-HRV reactivity as a vulnerability factor for stress-induced sleep disturbances. The combination of high trait worry and high HF-HRV reactivity to worry might identify a subgroup of individuals most vulnerable to stress-related sleep disturbances.

Prospective Associations Between Sleep Disturbance and Repetitive Negative Thinking: The Mediating Roles of Focusing and Shifting Attentional Control

Although considerable evidence has linked sleep disturbance to symptoms of psychopathology, including repetitive negative thinking, few studies have examined how sleep disturbance may predict repetitive negative thinking over time. Further, no study to date has examined specific mechanisms that may account for this relationship. The present study sought to address these gaps in the literature by testing focusing and shifting attentional control as two potential mediators of the relationship between sleep disturbance and repetitive negative thinking over a 6-month period. A final sample of 445 unselected community participants completed measures of sleep disturbance and repetitive negative thinking at Time 1, measures of focusing and shifting attentional control 3 months later, and measures of repetitive negative thinking again 6 months later. Results revealed that focusing, but not shifting, attentional control mediated the relationship between sleep disturbance and repetitive negative thinking, specifically, worry, rumination, and obsessions. These findings provide preliminary evidence for focusing attentional control as a candidate mechanism that may explain the causal role of sleep disturbance in the development of repetitive negative thinking observed in various disorders.

Psychological interventions that target sleep reduce pain catastrophizing in knee osteoarthritis

Pain catastrophizing is a significant risk factor for patients with knee osteoarthritis (KOA) and thus is a target for many psychological interventions for pain. This study examined if interventions targeting sleep found to be effective in improving sleep in KOA also reduce pain catastrophizing measured as a trait through the pain catastrophizing scale and measured as a daytime and nocturnal state through daily diaries. Secondary analyses were conducted on data collected as part of a randomized controlled trial assessing the effectiveness of cognitive behavioral therapy for insomnia in patients with KOA at 5 different time points: pretreatment, midtreatment and posttreatment and at 3- and 6-month follow-up. One hundred patients diagnosed with KOA and insomnia were randomized to receive either 8 sessions of cognitive behavioral therapy for insomnia or a placebo intervention of behavioral desensitization. Multilevel modeling revealed that both intervention groups showed a significant reduction pretreatment to posttreatment in all 3 measures of pain catastrophizing and maintained stable levels through the 6-month follow-up. Increased sleep continuity early in treatment (pretreatment to midtreatment), but not reductions in pain, was associated with a reduction in trait and nocturnal catastrophizing later in treatment (midtreatment to posttreatment). These results suggest that short interventions focusing on sleep can significantly reduce pain catastrophizing even in a clinical population with low baseline levels of catastrophizing, possibly through improving sleep continuity.