Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis

Lorenz, Noah; Sander, Christian; Ivanova, G. P.; Hegerl, Ulrich

doi:10.2196/17071

Cited by 15 publications

(9 citation statements)

References 23 publications

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“…This is, in part, a secondary analysis of data previously analyzed in the work of Lorenz et al (2020) on the idiographic association between sleep and depression. Our analyses were preregistered after data collection and before secondary data analysis using the template for preregistration of experience sampling studies by Kirtley et al (2021).…”

Section: Methodsmentioning

confidence: 99%

Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disorders

Siepe¹,

Sander²,

Schultze³

et al. 2022

Preprint

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Background: As phenotypes of depressive disorders (DD) are highly heterogenous, a growing number of studies investigate person-specific associations of depressive symptoms in time series data. Most available methods for estimating applicable models rely on the assumption that the associations between variables stay constant over time, which can be unrealistic in clinical contexts. To circumvent this limitation, we used a recently developed technique to estimate time-varying vector autoregressive models. Methods: In daily diary data of 20 participants with DD with a mean length of 274 days (SD = 82.4, range = 154-539), we modeled idiographic associations between core depressive symptoms, rumination, sleep, and quantity and quality of social contacts as idiographic time-varying dynamical networks. Results: Resulting models showed marked inter- as well as intraindividual differences. For some participants, associations between variables changed fast over time, whereas for others they showed more stability. Our results further indicated nonstationarity in all time series. Discussion: Idiographic symptom networks of depression can be of interest to clinicians and researchers as they can capture changes over time and provide detailed insights into the temporal course of mental disorders. Whilst the assumption of stationarity can hinder insights into important change processes, time-varying network models are a promising approach. We discuss limitations, their possible solutions, and recommendations for further use of the modeling technique.

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Section: Methodsmentioning

confidence: 99%

Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disorders

Siepe¹,

Sander²,

Schultze³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the causal relationship remains unclear. It is, for instance, unknown whether changes in depression symptoms precede or follow changes in sleep, and whether a longer or shorter sleep duration is related to improvements of depression core symptoms (Borbely et al, 2016; Lorenz et al, 2020). Investigating this may further explain how and when an acute SD exerts its rapid antidepressant effect and why it typically relapses after subsequent sleep occurs.…”

Section: Discussionmentioning

confidence: 99%

Comparison of sleep deprivation and a low dose of ketamine on sleep and the electroencephalogram in Brown Norway rats

Wang

Melgers

Meijer

et al. 2023

Journal of Sleep Research

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SummaryKetamine is known for its antidepressant effects, but the mechanism underlying this effect remains largely unclear. In contrast to most antidepressant drugs, the action of ketamine is rapid, suggesting a different mode of action. A rapid antidepressant effect is also observed following sleep deprivation (SD). In the present study, we aimed to evaluate the effect of a 6‐h SD and acute ketamine treatment on vigilance states, locomotor activity, and electroencephalogram (EEG) power density spectra in Brown Norway rats under constant condition over 2 recording days. After SD and after the initial waking period induced by ketamine, both treatments induced a similar increase in non‐rapid eye movement (NREM) sleep and EEG slow‐wave activity (SWA) in NREM sleep. Rapid eye movement (REM) sleep was reduced immediately after both treatments but was recovered later only after the SD. The effects on the waking EEG differed between the treatments, with a faster theta peak during and after SD, and no change in the waking spectrum after ketamine. In conclusion, SD and ketamine both lead to an acute increment in NREM sleep SWA as well as in a reduction in REM sleep. The results suggest that selective suppression of REM sleep, combined with enhancement of SWA during NREM may be effective in the treatment of depression.

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“…In our sample, objective and subjective sleep variables were associated with symptoms of anxiety, depression, and fatigue, highlighting the importance of considering the relationship between mental health/fatigue symptoms and sleep. Previous research in the general population and among individuals with depression has demonstrated that worse depression is associated with poorer objective and subjective sleep measures (Jackowska et al, 2016; Lorenz, Sander, Ivanova, & Hegerl, 2020). Within the IBD population, both the PSQI and the PROMIS Sleep Disturbance measures have been significantly associated with depression (Ananthakrishnan et al, 2013; Sochal et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Relationship of Sleep Health and Endoscopic Disease Activity in Inflammatory Bowel Disease

Kamp

Yoo

Clark‐Snustad

et al. 2023

Gastroenterology Nursing

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Among adults with inflammatory bowel disease (IBD), self-reported sleep disturbances are associated with active symptoms, but the association between sleep measures and endoscopic disease activity is unknown. This study aimed to (1) compare sleep–wake behaviors among IBD patients based on endoscopic and clinical disease activity and (2) describe associations between actigraphy, self-reported sleep measures, and symptoms of fatigue, anxiety, and depression. Participants wore a wrist actigraph for 10 consecutive days and completed self-reported sleep questionnaires (Pittsburgh Sleep Quality Index [PSQI] and Patient-Reported Outcome Measures System [PROMIS] Sleep Disturbance and Sleep Interference questionnaires). Clinical and endoscopic disease activity were assessed. Based on actigraphic recordings (n = 26), average total nighttime sleep was 437 minutes and sleep efficiency was 84%. Objective sleep measures did not differ based on endoscopic or clinical disease activity. Individuals with active clinical disease had higher PROMIS Sleep Disturbance (57.3 vs. 49.7, d = 1.28) and PROMIS Sleep-Related Impairment (58.1 vs. 52.8, d = 0.51) compared with those with inactive clinical disease. Self-reported sleep was significantly associated with anxiety, depression, and fatigue. Further research is needed to better characterize the relationship between sleep and endoscopic disease activity, and determine underlying mechanisms related to poor sleep in the IBD population.

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Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis

Cited by 15 publications

References 23 publications

Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disorders

Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disorders

Comparison of sleep deprivation and a low dose of ketamine on sleep and the electroencephalogram in Brown Norway rats

Relationship of Sleep Health and Endoscopic Disease Activity in Inflammatory Bowel Disease

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