A psychometric investigation of the sleep, circadian rhythms, and mood (SCRAM) questionnaire

Daily Associations Between Sleep Parameters and Depressive Symptoms in Individuals with Insomnia: Investigating Emotional Reactivity and Regulation as Mediators

OBJECTIVES

Previous research suggests that insomnia and depressive symptoms might be causally related. Emotional reactivity and regulation have been proposed to explain the potential causal relationship between insomnia and depression. However, longitudinal evaluations of their mediating effects are limited. Hence, the current study aimed to examine the mediating effects of emotional reactivity and regulation on the longitudinal associations between daily sleep parameters and depressive symptoms over 14 days in individuals with insomnia.

METHODS

Participants were sixty adults aged 18-65 who had clinically significant insomnia. They filled out a survey each morning and evening and wore actigraphy watches for 14 consecutive days. The five sleep parameters were measured by sleep diary in the morning survey (subjective total sleep time, subjective sleep efficiency, and sleep quality) and actigraphy watches (objective total sleep time and objective sleep efficiency). Emotional reactivity and emotion regulation strategy use during the day were assessed in the evening survey using the International Positive and Negative Affect Schedule Short Form, Emotion Regulation Questionnaire, and Cognitive Emotion Regulation Questionnaire. Depressive symptoms of the day were evaluated in the evening survey with the Center for Epidemiologic Studies Depression Scale.

RESULTS

Results showed that sleep quality and depressive symptoms, as well as actigraphy-measured sleep efficiency and depressive symptoms, predicted each other in individuals with insomnia, mediated by negative reactivity but not emotion regulation.

CONCLUSIONS

The present findings support the mediating role of negative emotional reactivity in the bidirectional, daily relationship between sleep parameters and depression in individuals with insomnia.

Development of a revised version of the SCRAM questionnaire to evaluate sleep, circadian rhythms, and mood characteristics

Sleep quality, chronotype, and mood may be closely interconnected processes. Typically, such constructs are measured independently, leaving out important information regarding their intrinsic relationships. The Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire is a promising tool for measuring sleep, chronotype, understood as diurnal preference, and depressive symptomatology, and the interrelationships between them. Anxiety has also been linked to sleep quality, chronotype, and depression, but there is currently no scale that measures these constructs together. This study aims to validate a revised version of the SCRAM questionnaire (rSCRAM), incorporating items to measure anxious mood. 486 Italian participants were involved in two studies. In Study 1, principal component analysis (PCA) identified representative anxiety elements from validated questionnaires. In Study 2, after adding the anxiety elements, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) established a 4-factor, 16-item model. The rSCRAM demonstrated excellent psychometric properties: high internal consistency (α = 0.72-0.90) and a strong test-retest reliability of the scales over 2 weeks (r = 0.73-0.82), a high correlation for convergent validity, and low correlations for divergent validity. The rSCRAM questionnaire measures the constructs for which it was created and revised. Including the anxiety scale enhances its utility in assessing mental health constructs within a single instrument.

Beat the Clock: Assessment of Night Eating Syndrome and Circadian Rhythm in a Sample of Greek Adults

The night eating syndrome (NES) is characterized by excessive food intake during the evening and night hours, with 25% of the daily intake being consumed post-dinner, paired with ep-isodes of nocturnal food intake, at a frequency of more than twice weekly. The NES has been associated with a misaligned circadian rhythm related to a delay in overall food intake, increased energy and fat consumption. The present cross-sectional study aimed to assess NES in a Greek population and evaluate possible links between NES and chronotype. NES was assessed using the Night Eating Questionnaire (NEQ), and circadian rhythm, sleep and mood were evaluated with the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire. A total of 533 adults participated in the study. A relatively high prevalence of NES was revealed, with more than 8.1% (NEQ ≥ 30) of the participants reporting experiencing NES symptoms, depending on the NEQ threshold used. Most participants had the intermediate chronotype. NEQ score was positively associated with the morning chronotype, and SCRAM was negatively related to "Good Sleep". Each point increment in the depression score was associated with 6% higher odds of NES. The early identification of NES gains importance in clinical practice, in a collective effort aiming to reduce NES symptomatology and its detrimental health effects.

Social Rhythm Disruption is Associated with Greater Depressive Symptoms in People with Mood Disorders: Findings from a Multinational Online Survey During COVID-19

OBJECTIVES

Societal restrictions imposed to prevent transmission of COVID-19 may challenge circadian-driven lifestyle behaviours, particularly amongst those vulnerable to mood disorders. The overarching aim of the present study was to investigate the hypothesis that, in the routine-disrupted environment of the COVID-19, amongst a sample of people living with mood disorders, greater social rhythm disruption would be associated with more severe mood symptoms.

METHODS

We conducted a two-wave, multinational survey of 997 participants (MAge=39.75±13.39,Female=81.6%) who self-reported a mood disorder diagnosis (i.e., major depressive disorder or bipolar disorder). Respondents completed questionnaires assessing demographics, social rhythmicity (The Brief Social Rhythm Scale), depression symptoms (Patient Health Questionnaire-9), sleep quality and diurnal preference (The Sleep, Circadian Rhythms and Mood questionnaire) and stressful life events during the COVID-19 pandemic (The Social Readjustment Rating Scale).

RESULTS

The majority of participants indicated COVID-19-related social disruption had affected the regularity of their daily routines to at least some extent (n = 788, 79.1%). As hypothesised, lower social rhythmicity was associated with greater depressive symptoms when tested cross-sectionally (standardised β = -.25, t = -7.94, P = 0.000) and when tested using a 2-level hierarchical linear model across two time points (b = -0.14, t = -3.46, df = 264, P ≤ 0.001).

CONCLUSIONS

These results are consistent with the social zeitgeber hypothesis proposing that mood disorders are sensitive to life events that disrupt social rhythms.

Chronotypes and circadian rest-activity rhythms in bipolar disorders: a meta-analysis of self- and observer rating scales

OBJECTIVE

Chronobiological models postulate that abnormalities in circadian rest/activity rhythms (CRAR) are core phenomena of bipolar disorders (BDs). We undertook a meta-analysis of published studies to determine whether self- or observer ratings of CRAR differentiate BD cases from comparators (typically healthy controls [HCs]).

METHOD

We undertook systematic searches of four databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses. Effect sizes (ES) for pooled analyses of self- and observer ratings were expressed as standardized mean differences with 95% confidence intervals (CIs).

RESULTS

The 30 studies meeting eligibility criteria included 2840 cases and 3573 controls. Compared with HC, BD cases showed greater eveningness (ES: 0.33; 95% CI: 0.12-0.54), lower flexibility of rhythms (ES: 0.36; 95% CI: 0.06-0.67), lower amplitude of rhythms (ES: 0.55; 95% CI: 0.39-0.70) and more disturbances across a range of CRAR (ES of 0.78-1.12 for general and social activities, sleep and eating patterns). Between study heterogeneity was high (I²  > 70%) and evidence indicated a potential publication bias for studies using the Biological Rhythms Interview of Assessment in Neuropsychiatry. Meta-regression analyses suggested significantly larger ES were observed in studies using observer ratings or including BD cases with higher levels of depressive symptoms.

CONCLUSION

This meta-analysis demonstrates that BD is associated with higher levels of self- or observer-rated CRAR disturbances compared with controls. However, further studies should examine the respective performance of individual instruments when used alone or in combination, to clarify their applicability and utility in clinical practice.

Translation and validation of the SCRAM questionnaire in a German adolescent inpatient sample

Sleep, depressive symptoms and circadian preference are highly interconnected processes. Evidence suggests that, especially in adolescence, all processes should be considered in the assessment and treatment of patients with clinically relevant psychopathology. The SCRAM (Sleep, Circadian Rhythms, and Mood) questionnaire was developed and validated in a student sample as a promising tool to conjointly measure and separate sleep, circadian preference and depression symptomatology. The present study aims to validate a German version of the SCRAM questionnaire in an adolescent psychiatric inpatient sample. A two-step analytic strategy consisting of an exploratory factor analysis EFA followed by confirmatory factor analyses (CFA) was conducted. The EFA was run in the first half of the sample (n = 422, M = 14.92, SD = 1.67). To validate the factor structure of the EFA and the original study, two CFA`s were performed in the second half of the adolescent sample (n = 438, M = 15.07, SD = 1.68). The EFA analysis revealed a 4-factor model with 12 items. Two Sleep items and one Morningness item had cross-factor loadings. The fit indices in the CFA were good using the factor model of the original study, whereas the 4-factor model of the EFA did not converge. The German SCRAM factor model seems structurally sound in an adolescent inpatient sample, but questions remain regarding the role of diagnosis, gender, external correlates, and examining the change scores of the SCRAM scores with treatment. Before this application, further research is needed to replicate the factor structure, investigate test-retest reliability, predictive and discriminant validity and test in more generalizable samples.

Digital health tools for the passive monitoring of depression: a systematic review of methods

The use of digital tools to measure physiological and behavioural variables of potential relevance to mental health is a growing field sitting at the intersection between computer science, engineering, and clinical science. We summarised the literature on remote measuring technologies, mapping methodological challenges and threats to reproducibility, and identified leading digital signals for depression. Medical and computer science databases were searched between January 2007 and November 2019. Published studies linking depression and objective behavioural data obtained from smartphone and wearable device sensors in adults with unipolar depression and healthy subjects were included. A descriptive approach was taken to synthesise study methodologies. We included 51 studies and found threats to reproducibility and transparency arising from failure to provide comprehensive descriptions of recruitment strategies, sample information, feature construction and the determination and handling of missing data. The literature is characterised by small sample sizes, short follow-up duration and great variability in the quality of reporting, limiting the interpretability of pooled results. Bivariate analyses show consistency in statistically significant associations between depression and digital features from sleep, physical activity, location, and phone use data. Machine learning models found the predictive value of aggregated features. Given the pitfalls in the combined literature, these results should be taken purely as a starting point for hypothesis generation. Since this research is ultimately aimed at informing clinical practice, we recommend improvements in reporting standards including consideration of generalisability and reproducibility, such as wider diversity of samples, thorough reporting methodology and the reporting of potential bias in studies with numerous features.

Effects of Environmental Change on Travelers' Sleep Health: Identifying Risk and Protective Factors

Objective

The aim of this study is to predict the risk and protective factors for the differential effects of the environment on travelers’ sleep health.

Methods

A sample of 505 travelers who stayed overnight in one of 28 hotels completed a sleep quality scale (SQS), a reduced scale of the Morningness/Eveningness questionnaire (rMEQ), and a hotel customer satisfaction questionnaire (H-SCI).

Results

Individuals who are of morning type (p = 0.002), have reduced sleep duration (p = 0.010), and have high sensitivity to the sleep environment (p = 0.000) are most affected by environmental change. Interestingly, business travelers are more affected by sleep disturbances than leisure travelers, travelers who are more satisfied with hotels are less likely to experience insomnia in a new sleep environment (p = 0.000), and insomniacs are more likely to recover from insomnia during a trip (p = 0.000).

Conclusion

Environmental change has an inconsistent impact on the sleep health of different individuals. In a new sleep environment, the possible risk factors for sleep health include (1) being of morning type, (2) reduced sleep duration during trip, (3) sensitivity to the sleep environment, and (4) business stress, while a possible protective factor is satisfaction with the hotel. Possible factors aiding in recovery from home insomnia include (1) being of evening type and (2) higher satisfaction with the hotel.