General or specific? The memory–experience gap for individuals diagnosed with a major depressive disorder or a social phobia diagnosis, and individuals without such diagnoses

Rinner, Marcia T. B.; Meyer, Andrea; Mikoteit, Thorsten; Hoyer, Jürgen; Imboden, Christian; Hatzinger, Martin; Bader, Klaus; Lieb, Roselind; Miché, Marcel; Wersebe, Hanna; Gloster, Andrew T.

doi:10.1080/09658211.2019.1640252

Cited by 22 publications

(27 citation statements)

References 37 publications

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“…Furthermore, there were no objective observational data of the activity patterns of patients. Hence, our self‐report data might be subject to consistency and retrospective recall bias (Gloster et al, ; Rinner et al, ) that could have distorted the subjective perception of activity/depression change patterns. In retrospect, they may have been perceived as coinciding with each other, when in fact they were not.…”

Section: Discussionmentioning

confidence: 99%

Activity and subsequent depression levels: a causal analysis of behavioural activation group treatment with weekly assessments over 8 weeks

Hoyer

Hoefler

Wuellhorst

2020

Clin Psychology and Psychoth

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Research on behavioural activation (BA) for depression assumes that increasing the rate of rewarding activities leads to reduced depressive mood. Although the efficacy of BA treatment has been convincingly demonstrated, assumptions referring to the mechanisms underlying this effect have not been tested decisively yet. The Behavioural Activation Scale for Depression and the Beck Depression Inventory II were administered over 8 weeks in 161 reliably diagnosed patients with unipolar depression who underwent BA treatment in groups. Time-lagged associations between behavioural activity on depression at subsequent assessment (1 week later) and vice versa were modelled (a) with multilevel models and (b) dynamic panel models that eliminate shared constant factors and allow for reverse causation (e.g., depression affecting subsequent activation in the model for activation on depression). Both activation and depression changed significantly (model-based within effect sizes for activation = .70 and for depression = −.75). Higher activation and lower depression predict each other over time (mixed-effects, time-lagged model), but this association disappears in dynamic causal models. Change patterns were only analysed within a time frame of 1 week; smaller time intervals were not investigated. There were no objective observational data of activity patterns. In the present study, increased behavioural activity and reduced depressive mood co-occur on the week scale. They predict each other across time, but this may be due to shared causes only. K E Y W O R D S behavioural activation, change patterns, depression, group therapy

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Section: Discussionmentioning

confidence: 99%

Activity and subsequent depression levels: a causal analysis of behavioural activation group treatment with weekly assessments over 8 weeks

Hoyer

Hoefler

Wuellhorst

2020

Clin Psychology and Psychoth

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“…These drawbacks of EMA can be alleviated by asking participants about experiences since the last measurement occasion (c.f., Ben-Zeev et al, 2012;van Roekel et al, 2017;Fernandez, Fisher, & Chi, 2017;Rinner et al, 2019), or since some time index (c.f., Gloster et al, 2008;Priebe et al, 2013;Schuler et al, 2019). In this approach, participants are essentially required to recall and aggregate over some limited time interval.…”

Section: Ema: Moment-to-moment Affects Cognitions Events and Behaviourmentioning

confidence: 99%

“…When RA is compared to ERA (expression 3.3), some authors seem to consider ERA a measurement of the ES, as they claim to study a memory-experience gap (Miron-Shatz et al, 2009;Tadic et al, 2014;Urban et al, 2018;Rinner et al, 2019). However, another valid interpretation could be that in this comparison, measurements that are rather close to the RS (i.e., ERA) are essentially compared to measurements that are even closer to the RS, as they involve a longer period in time (i.e., RA; see Figure 1).…”

Section: A Difference Between Experiencing and Evaluating?mentioning

confidence: 99%

A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on EMA Data.

Leertouwer¹,

Aoj²,

Jk³

et al. 2021

Preprint

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Ecological Momentary Assessment (EMA), in which participants report on their moment-to-moment experiences in their natural environment, is a hot topic. An emerging field in clinical psychology based on either EMA, or what we term Ecological Retrospective Assessment (ERA) as it requires retrospectivity, is the field of personalized feedback. In this field, EMA/ERA-data-driven summaries are presented to participants with the goal of promoting their insight in their functioning. Underlying this procedure are some fundamental assumptions about (1) the relation between true moment-to-moment experiences and retrospective evaluations of those experiences, (2) the translation of these experiences and evaluations to different types of data (3) the comparison of these different types of data (4) the impact of a summary of moment-to-moment experiences on retrospective evaluations of those experiences. We argue that these assumptions deserve further exploration, in order to create a strong evidence-based foundation for the personalized feedback procedure.

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“…In order to examine the processes of sleep with temporal fidelity, it is important to collect data using Experience Sampling Method (ESM). ESM also has the advantage of limiting the Memory Experience Gap (Rinner et al, ), a phenomenon that describes increasingly skewed memories, the longer ago the experience or the broader the timespan in question is (Miron‐Shatz, Stone, & Kahneman, ). It stands to reason to use state‐of‐the‐art methodology that circumvents this gap, especially if one is interested in the daily influence of variables in a real‐life setting (i.e.…”

Section: Introductionmentioning

confidence: 99%

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

Block

Meyer

Miché

et al. 2019

Journal of Sleep Research

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Summary 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.

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General or specific? The memory–experience gap for individuals diagnosed with a major depressive disorder or a social phobia diagnosis, and individuals without such diagnoses

Cited by 22 publications

References 37 publications

Activity and subsequent depression levels: a causal analysis of behavioural activation group treatment with weekly assessments over 8 weeks

Activity and subsequent depression levels: a causal analysis of behavioural activation group treatment with weekly assessments over 8 weeks

A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on EMA Data.

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

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