Article

'I feel better when…': An analysis of the memory-experience gap for peoples' estimates of the relationship between health behaviours and experiences

Taylor & Francis
Psychology & Health
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Abstract

Objective: People often overestimate how strongly behaviours and experiences are related. This memory-experience gap might have important implications for health care settings, which often require people to estimate associations, such as “my mood is better when I exercise”. This study examines how subjective correlation estimates between health behaviours and experiences relate to calculated correlations from online reports and whether subjective estimates are associated with engagement in actual health behaviour. Design: Seven-month online study on physical activity, sleep, affect and stress, with 61 online assessments. Main Outcome Measures: University students (N = 168) retrospectively estimated correlations between physical activity, sleep, positive affect and stress over the seven-month study period. Results: Correlations between experiences and behaviours (online data) were small (r = −.12–.14), estimated correlations moderate (r = −.35–.24). Correspondence between calculated and estimated correlations was low. Importantly, estimated correlations of physical activity with stress, positive affect and sleep were associated with actual engagement in physical activity. Conclusion: Estimation accuracy of relations between health behaviours and experiences is low. However, association estimates could be an important predictor of actual health behaviours. This study identifies and quantifies estimation inaccuracies in health behaviours and points towards potential systematic biases in health settings, which might seriously impair intervention efficacy.

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... However, these estimates are themselves averages of instability over time and do not directly deal with the timing and sequences of momentary mental experiences. Likewise, some studies suggest that individuals may overestimate how much different mental and behavioral phenomena covary (that is, go together in time) for them (Gloster et al., 2008;Gloster, Meyer, Witthauer, Lieb, & Mata, 2017;Shiffman et al., 1997). However, in general, comparisons between retrospectively assessed and contemporaneously assessed momentary information are few. ...
... However, recognition of the dynamic covariation of stress and self-esteem (including how self-esteem and stress states are linked to one another and to themselves across 15-min intervals) was poor. This finding is consistent with prior studies suggesting systematic discrepancies between the actual within-person covariance of different states and events and individuals' estimation of this covariance (Gloster et al., 2008;Gloster et al., 2017). The current results suggest that individuals do not perceive and encode these dynamics accurately, giving the experience sampling method (along with within-person analyses) a clear advantage when it comes to uncovering the actual dynamic processes among different mental states, events, and behaviors. ...
... This is in line with prior research suggesting that retrospective ratings of means and general frequencies are less prone to inaccuracy than information about change and instability (Ebner-Priemer, Bohus, & Kuo, 2007, as cited in Ebner-Priemer & Trull, 2009Stone et al., 2004). This finding also echoes research suggesting disagreements between the actual covariance of events and mental states and individuals' estimates of this covariation (Gloster et al., 2008;Gloster et al., 2017;Shiffman et al., 1997). That participants were not only inaccurate in the current study but also biased (in the sense that they recalled more lagged, dynamic relations between stress and selfesteem and underestimated the inertia in these two states) suggests that this inaccuracy may reflect participants' intuitive or folk-psychological Note. ...
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... However, the obvious limitation with relying on patient perceptions is that patients often lack insight into the causal relations between their symptoms, especially for effects on longer time scales and perhaps especially before therapy. Indeed, it has been shown that respondents often overestimate causation between behavioral phenomena (Gloster et al., 2017). Also, common clinical experience suggests that patients are often unaware of how their behaviors, context, and emotions influence one another (Ghaemi & Rosenquist, 2004;Medalia & Thysen, 2008;Peralta & Cuesta, 1998) and retrospective biases might impact PECAN assessments (Van den Bergh & Walentynowicz, 2016). ...
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... However, the obvious limitation with relying on patient perceptions is that patients often lack insight into the causal relations between their symptoms, especially for effects on longer time scales and perhaps especially before therapy. Indeed, it has been shown that respondents often overestimate causation between behavioral phenomena (Gloster et al., 2017). Also, common clinical experience suggests that patients are often unaware of how their behaviors, context, and emotions influence one another (Ghaemi & Rosenquist, 2004;Medalia & Thysen, 2008;Peralta & Cuesta, 1998) and retrospective biases might impact PECAN assessments (Van den Bergh & Walentynowicz, 2016). ...
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Addressing the persistent heterogeneity in psychopathology, treatment outcomes, and the science-practice gap requires a systematic approach to personalizing psychotherapy. Case conceptualization aims to understand a patient’s idiographic psychopathology by generating hypotheses about predisposing, precipitating, and maintaining factors. These hypotheses are continually updated with new information from assessments and ongoing treatment. This study applies a novel data-driven approach to formalize this process with personalized network estimation through prior elicitation and Bayesian inference. It is the first study to assess the clinical utility of this approach in a sample of twelve psychotherapy patients, primarily treated for depression, along with their respective therapists (preregistered: https://osf.io/38qdx).Patients employed the PECAN (Perceived Causal Networks) method to create personalized "prior networks," mapping how they perceived their symptoms to interact. Intensive longitudinal data were then collected six times daily over 15 days (N = 935). Bayesian inference was used to update these prior networks using the collected longitudinal data, resulting in personalized "posterior networks."Both PECAN and longitudinal assessments were evaluated feasible and acceptable. Face validity was scored highest for the posterior networks. Patients emphasized the personal relevance of these networks, while therapists noted their value in guiding the therapeutic process. However, prior, posterior, and data networks showed significant dissimilarities. These differences may stem from patients’ limited insight into symptom interactions, insufficient power in the longitudinal data, or variations in self-perception. Despite these discrepancies, this study demonstrates the potential for integrating two methods to create personalized models of psychopathology. Future research should refine this formalization process to develop a more rigorous theoretical-empirical cycle to test these models.
... Third, the causality ratings in the PECAN are likely to be systematically biased. Indeed, people tend to overestimate causality between behavioral phenomena (Gloster et al., 2017). This bias likely works in different directions for different behavior and emotions, so that respondents might overestimate how much insomnia causes concentration problems, and underestimate how much lack of exercise causes feeling tired. ...
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... suggest that individuals have a bias towards recalling their experiences, especially their negative experiences, as more intense and persistent than they actually were (Ben-Zeev et al. 2012Ellison et al. 2020;Kelly et al. 2019;Urban et al. 2018;Wenze et al. 2012), and they overestimate the links between their symptoms and stressful circumstances (Ellison et al. 2020;Gloster et al. 2017Gloster et al. , 2008. These inaccuracies and biases threaten the accuracy and efficiency of diagnoses and case formulations based on clients' retrospective accounts. ...
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... By capturing the fluctuations of symptoms, emotions, social interactions, well-being, and health-behaviours as well as neuropsychological and biological variables, we can contribute to the understanding of antecedents, consequences, and inherent processes that give rise to these fluctuations. These data also allow us to test how well participants can accurately report on their own experiences, thereby increasing understanding of how to better probe for such information in research and the clinic(Gloster, Meyer, Witthauer, Lieb, & Mata, 2017). These data are thus relevant for basic clinical theory and clinical care alike.By using ESM, we were able to capture experiences in participants' naturally chosen context thereby generating fundamentally different type of knowledge than questionnaires (i.e. ...
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A growing body of literature suggests that retrospective recall of psychiatric symptoms is often inaccurate and may distort knowledge about the course of illness and impact treatment. The current study examined the accuracy of retrospective recall of a variety of depressive symptoms in hospitalized depressed patients and nonclinical controls. Using the Experience Sampling Method, we compared average momentary symptom reports of 1 week to retrospective summaries of the same period. The depressed group exhibited negative biases in their recall of experienced anhedonia, sadness, confusion, and suicidality, but were relatively accurate in recall of helplessness, detachment, and self-control. Controls exhibited a different pattern; they were relatively accurate in their retrospective recall of confusion, suicidality and sadness, but exhibited positive biases in recall of anhedonia, helplessness, detachment, and self-control. Both groups exhibited comparable negative biases in their recall of experienced tension, difficulty concentrating, guilt, and fear. The findings suggest that for maximum accuracy in the assessment of depressive symptoms, scientists and practitioners should supplement retrospective self-reports with momentary measures, and consider using ambulatory assessment in cognitive behavioral treatments of depression.
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An event sampling method was used to study the frequency of panic attacks during treatment of agoraphobics. Results revealed a much lower incidence of panic attacks in agoraphobics according to self-monitoring than was expected on account of their retrospective estimation. When more stringent criteria for panic attacks are applied, retrospective overestimation becomes even more apparent. The implication of this finding for the classification of panic disorder patients is discussed.
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Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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The authors examined the effect of patients' style of clinical presentation on primary care physicians' recognition of depression and anxiety. The subjects were 685 patients attending family medicine clinics on self-initiated visits. They completed structured interviews assessing presenting complaints, self-report measures of symptoms and hypochondriacal worry, the Diagnostic Interview Schedule (DIS), and the Center for Epidemiologic Studies Depression Scale (CES-D). Physician recognition was determined by notation of any psychiatric condition in the medical chart over the ensuing 12 months. The authors identified three progressively more persistent forms of somatic presentations, labeled "initial," "facultative," and "true" somatization. Of 215 patients with CES-D scores of 16 or higher, 80% made somatized presentations; of 75 patients with DIS-diagnosed major depression or anxiety disorder, 76% made somatic presentations. Among patients with DIS major depression or anxiety disorder, somatization reduced physician recognition from 77%, for psychosocial presenters, to 22%, for true somatizers. The same pattern was found for patients with high CES-D scores. In logistic regression models education, seriousness of concurrent medical illness, hypochondriacal worry, and number of lifetime medically unexplained symptoms each increased the likelihood of recognition, while somatized presentations decreased the rate of recognition. While physician recognition of psychiatric distress in primary care varied widely with different criteria for recognition, the same pattern of reduction of recognition with increasing level of somatization was found for all criteria. In contrast, hypochondriacal worry and medically unexplained somatic symptoms increased the rate of recognition.
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The tendency to experience negative emotions in the face of stress may lead to repeated overactivation of the hypothalamic-pituitary-adrenal axis. In a sample of 556 women, this study used the Experience Sampling Method to assess different daily stressors, current mood, and salivary cortisol, 10 times daily for 5 days. Multilevel analyses estimated the contributions of stressors and mood states as predictors of salivary cortisol secretion. Results showed that minor stressors were associated with decreased positive affect and increased negative affect, agitation, and cortisol. Of the mood states, only negative affect was independently associated with cortisol. Negative affect also mediated effects of daily stressors on cortisol. Although further research is needed to clarify: (i) the causal pathways between daily stress, mood, and cortisol and (ii) the importance of daily stress reactivity as a prospective risk factor, these findings confirm that minor daily stressors can influence emotional and biological processes involved in subjective well-being.
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When people report somatic complaints retrospectively, they depend on their memory. Therefore, retrospective reports can be influenced by general beliefs on sickness and health from semantic memory. We hypothesized that individuals with medically unexplained symptoms (MUS) would have recall biases stronger than those of people without complaints when reporting symptoms retrospectively, and that this effect would be a function of time between symptom experience and report. To compare two time frames, 37 participants who were high and low on MUS reported momentary symptoms combined by daily recall and weekly recall using an electronic diary. Both groups reported more symptoms when recalling the entire week than what could be expected from average momentary reports. However, participants high on MUS also reported more symptoms when recalling a week than when recalling a day. For this group, recall bias was not associated with peak heuristic or symptoms variability. Symptom reports in people high on MUS increases as time passes by, probably as a results of a shift in memory retrieval strategy from using episodic knowledge to using semantic beliefs.
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Assessment methods relying on biased or inaccurate retrospective recall may distort knowledge about the nature of disorders and lead to faulty clinical inferences. Despite concerns about the accuracy of retrospective recall in general and in particular with obsessive-compulsive disorder (OCD) patients, the accuracy of retrospective recall for one's own symptoms assessed in vivo is unknown in this population. This study used a prospective ecological momentary assessment (EMA) methodology to create a criterion against which to assess recall accuracy in OCD patients. Although results indicated that patients' retrospective recall of OCD symptoms was fairly accurate, they consistently overestimated the magnitude of OCD symptom covariation with non-OCD facets (e.g., sleep duration, contemporaneous stress level, etc.). Findings suggest that even when recall of OCD symptoms is accurate, patients may be inaccurate in estimating symptom covariation. The findings have implications for the research, case conceptualization, and assessment of OCD, and may extend to other disorders.
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This pilot study evaluated the feasibility of ecologic momentary assessment (EMA) to measure five eating disorder behaviors and to examine reactivity of these behaviors to this measurement approach. The pattern of correspondence between EMA and the Eating Disorder Examination (EDE) was also examined. Women with threshold or subthreshold anorexia and bulimia nervosa (N=16) recorded their eating disorder behaviors for 4 weeks on a hand-held computer. Upon completion of the EMA procedure, the EDE was administered. Eighty-eight percent of the sample completed the EMA behavioral recording. No differences in behavioral frequency were found in the first and second halves of the EMA measurement period, suggesting that behaviors were not reactive to the methodology. Binging and excessive exercise were lower when measured by EMA compared with the EDE. These results suggest that EMA is a feasible and valid approach to the measurement of disordered eating behaviors.
Intraindividual variability in positive and negative affect: Age-related and individual differences in magnitude and coupling with cognitive performance
  • C Roecke
Trends in Ambulatory Self-Report
  • T S Conner
  • L F Barrett