Ruminative Inertia and Its Association With Current Severity and Lifetime Course of Depression

Bean, Christian A. L.; Heggeness, Luke F.; Kalmbach, David A.; Ciesla, Jeffrey A.

doi:10.1177/2167702620949174

Cited by 22 publications

(16 citation statements)

References 44 publications

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“…Indeed, previous ESM studies have suggested that worry becomes more strongly associated with positive affect and NA as a sudden shift in depressive symptoms (or the moment of relapse) approaches (van de Leemput et al, 2014;Wichers, 2014;Wichers et al, 2019). Another study on patients with a history of unipolar depression showed that ruminative inertia is positively associated with current levels of depressive symptoms and is negatively associated with the number of past depressive episodes (Bean et al, 2020). However, a direct replication on a clinical sample would still be warranted to establish the clinical relevance of our findings.…”

Section: Discussionmentioning

confidence: 98%

Is a High Association Between Repetitive Negative Thinking and Negative Affect Predictive of Depressive Symptoms? A Clustering Approach for Experience-Sampling Data

Stefanovic

Rosenkranz

Ehring

et al. 2021

Clinical Psychological Science

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A reciprocal relationship between repetitive negative thinking (RNT) and negative affect (NA) has been found in various types of psychopathology. Recent studies have suggested that the magnitude of this association can vary across time and individuals, which may inform future psychopathology. Here, we explored how these dynamics and interplays are manifested in student and general populations using a statistical clustering algorithm. Across three experience-sampling data sets, our clustering analyses consistently identified two groups of individuals; one group had a higher bidirectional association between RNT and NA (and also higher inertia) than the other group. Furthermore, a prospective analysis revealed that the group with the higher bidirectional association is at risk of developing depressive symptoms during the 3-month follow-up period if they had experienced high levels of NA over the experience-sampling phase. These findings suggest that the dysfunctional affective and cognitive dynamics would be a promising target of preventive intervention.

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Section: Discussionmentioning

confidence: 98%

Is a High Association Between Repetitive Negative Thinking and Negative Affect Predictive of Depressive Symptoms? A Clustering Approach for Experience-Sampling Data

Stefanovic

Rosenkranz

Ehring

et al. 2021

Clinical Psychological Science

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“…Individual networks showed temporal associations that might be useful for clinical interpretation and use in self-monitoring contexts. A positive autoregressive effect of rumination, which was present for some estimation points for participants 2, 6 and 11, is sometimes termed ruminative inertia (Bean et al, 2020). Becoming stuck in rumination might be a relevant cognitive mechanism that explains negative influences of rumination on depression (Bean et al, 2020).…”

Section: Discussionmentioning

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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“…Interestingly, this is not in line with the original definition of rumination by Nolen-Hoeksema 9 , which assumed ruminative processes to pose more of a trait rather than a reactive state condition 4 . Supporting this assumption of a trait as well as a state pattern of rumination, relatively unstable processes fulfilling the criteria of rumination were found 26 – 28 . Robinson and Alloy 25 postulated the Theory of Stress-Reactive Rumination, defining rumination as a state.…”

Section: Introductionmentioning

confidence: 56%

Trait rumination and social anxiety separately influence stress-induced rumination and hemodynamic responses

Laicher¹,

Int-Veen

Torka

et al. 2022

Sci Rep

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We aimed to investigate stress-reactive rumination in response to social stress and its association with social anxiety and trait rumination. From previous investigations we know that people with a certain vulnerability to rumination show increased stress-reactive rumination. However, up to date the possible influence of social anxiety on this relationship is still unclear. Therefore, we reanalyzed the data of two of our previous studies assessing healthy low and high trait ruminators and depressed patients performing the Trier Social Stress Test (TSST). We measured cortical oxygenation using functional Near-Infrared Spectroscopy (fNIRS) as well as different behavioral outcome measures (subjective stress levels, negative affect, state rumination). On a behavioral level, we found an influence of both, social anxiety and trait rumination, on state rumination, even when correcting for the other factor, respectively, implying two potentially independent factors of influence. On a neural level, we observed reduced activation in brain regions of the cognitive control network (CCN) for higher social anxiety and trait rumination, which might be a result of reduced cognitive and attentional control. Results indicate a specific role of social anxiety, at least on a behavioral level, and therefore implicate a crucial factor to be considered in the treatment of depression.

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Ruminative Inertia and Its Association With Current Severity and Lifetime Course of Depression

Cited by 22 publications

References 44 publications

Is a High Association Between Repetitive Negative Thinking and Negative Affect Predictive of Depressive Symptoms? A Clustering Approach for Experience-Sampling Data

Is a High Association Between Repetitive Negative Thinking and Negative Affect Predictive of Depressive Symptoms? A Clustering Approach for Experience-Sampling Data

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

Trait rumination and social anxiety separately influence stress-induced rumination and hemodynamic responses

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