Diminished Anticipatory and Consummatory Pleasure in Dysphoria: Evidence From an Experience Sampling Study

Less bang for my buck: Diminished anticipated enjoyment contributes to dysphoria-linked deficit in activity behavioural engagement choice

This study experimentally investigated the role of anticipated enjoyment and effort in mediating dysphoria-related deficit in activity engagement behavioural choice. Using a novel activity information processing task (about a fictional "new" Nintendo Wii sports game called "Tornado Ball"), N = 249 participants (n = 95 High Dysphoria; n = 154 Low Dysphoria) were presented information about the benefits (enjoyable features) and costs (mental and physical effort barriers) as product reviews from another player. The order of cost vs. benefit information was manipulated such that participants either heard cost information before benefit information, or vice versa. They then rated what their anticipated enjoyment and effort will be if they were to play Tornado Ball, before being given the opportunity to choose to try it themselves or not. The High Dysphoria group reported lower anticipated enjoyment (but not higher effort) relative to the Low Dysphoria group, but only when cost information was presented first. Importantly, a moderated mediation showed that the High Dysphoria group reported lower tendency to choose activity engagement (game play) as a function of having lower anticipated enjoyment, but only when cost information was presented first. The present finding indicate that reduced anticipated enjoyment may causally contribute to dysphoria-linked deficits in activity engagement behavioural choice.

"Have to do" or "willing to do": Examining the relationship between self-control and academic emotions using experience sampling method

The purpose of this study was to examine the antecedents of academic emotions among university students through real-time and multilevel analyses. We explored the link between state self-control and academic emotions, the influence of self-determination on the relationship between them, and the moderating role of trait self-control. The data was collected over seven consecutive days during which university students (N = 155) completed smartphone questionnaires. Data was organized into hierarchical two-level structures, where situations (Level 1) nested within individuals (Level 2). The results showed that positive emotions were negatively predicted by state self-control while negative emotions were positively predicted by state self-control. Moreover, state self-control under low self-determination was a significant negative predictor of positive emotions, whereas high self-determination had no predictive effect on positive emotions. The relationship between self-determination and negative emotions was further moderated by trait self-control. The limitations of this study and future research directions are also discussed.

Effect of Daily Life Reward Loop Functioning on the Course of Depression

Engagement in activities increases positive affect (Reward Path 1), which subsequently reinforces motivation (Reward Path 2), and hence future engagement in activities (Reward Path 3). Strong connections between these three reward loop components are considered adaptive, and might be disturbed in depression. Although some ecological nomentary assessment (EMA) studies have investigated the cross-sectional association between separate reward paths and individuals' level of depression, no EMA study has looked into the association between individuals' reward loop strength and depressive symptom course. The present EMA study assessed reward loop functioning (5x/day, 28 days) of 46 outpatients starting depression treatment at secondary mental health services and monitored with the Inventory of Depressive Symptomatology-Self-Report (IDS-SR) during a 7-month period. Results of multilevel regression analyses showed significant within-person associations for Reward Path 1 (b = 0.21, p < .001), Reward Path 2 (b = 0.43, p < .001), and Reward Path 3 (b = 0.20, p < .001). Stronger average reward loops (i.e., within-person mean of all reward paths) did not relate to participants' improvement in depressive symptoms over time. Path-specific results revealed that Reward Paths 1 and 2 may have partly opposite effects on depressive symptom course. Together, our findings suggest that reward processes in daily life might be best studied separately and that further investigation is warranted to explore under what circumstances strong paths are adaptive or not.

Applying multiverse analysis to experience sampling data: Investigating whether preprocessing choices affect robustness of conclusions

The experience sampling method (ESM) has revolutionized our ability to conduct psychological research in the natural environment. However, researchers have a large degree of freedom when preprocessing ESM data, which may hinder scientific progress. This study illustrates the use of multiverse analyses regarding preprocessing choices related to data exclusion (i.e., based on various levels of compliance and exclusion of the first assessment day) and the calculation of constructs (i.e., composite scores calculated as the mean, median, or mode) by reanalyzing established group differences in negative affect, stress reactivity, and emotional inertia between individuals with and without psychosis. Data came from five studies and included 233 individuals with psychosis and 223 healthy individuals (in total, 26,892 longitudinal assessments). Preprocessing choices related to data exclusion did not affect conclusions. For both stress reactivity and emotional inertia of negative affect, group differences were affected when negative affect was calculated as the mean compared to the median or mode. Further analyses revealed that this could be attributed to considerable differences in the within- and between-factor structure of negative affect. While these findings show that observed differences in affective processes between individuals with and without psychosis are robust to preprocessing choices related to data exclusion, we found disagreement in conclusions between different central tendency measures. Safeguarding the validity of future experience sampling research, scholars are advised to use multiverse analysis to evaluate the robustness of their conclusions across different preprocessing scenarios.

Negative expectations regarding interpersonal interactions in daily life are associated with subclinical depressive symptoms in a student sample: A prospective experience sampling study

Dysfunctional expectations and interpersonal problems are associated with depression, so we measured expected emotions towards interaction partners and compared them with actual emotions. We hypothesized that, between persons, individuals with higher subclinical depression would display stronger, more stable, and less accurate negative expectations. Within persons, we hypothesized that momentary negative expectations would predict subsequent negative affect. Fifty-three students completed 6 days of Experience Sampling, consisting of one morning expectation-assessment (9 am), three assessments on actual interpersonal emotions (1 pm, 5 pm, 9 pm), and six random affect-assessments. We regressed expected emotions, experienced emotions, expectation fluctuations, and expectation violations on subclinical depression. Using mixed model analyses, we further examined whether negative expectations preceded negative affect, and whether expectation violations preceded adjustments of expectations. Higher subclinical depression predicted more negative expectations. Within persons, worse-than-expected interpersonal interactions preceded negative affect whereas better-than-expected interactions preceded reductions of negative expectations. Despite problems with skewed data, our approach appears well-suited to examine interpersonal expectations in vivo.

Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence

BACKGROUND

This PRISMA systematic literature review examined the use of digital data collection methods (including ecological momentary assessment [EMA], experience sampling method [ESM], digital biomarkers, passive sensing, mobile sensing, ambulatory assessment, and time-series analysis), emphasizing on digital phenotyping (DP) to study depression. DP is defined as the use of digital data to profile health information objectively.

AIMS

Four distinct yet interrelated goals underpin this study: (a) to identify empirical research examining the use of DP to study depression; (b) to describe the different methods and technology employed; (c) to integrate the evidence regarding the efficacy of digital data in the examination, diagnosis, and monitoring of depression and (d) to clarify DP definitions and digital mental health records terminology.

RESULTS

Overall, 118 studies were assessed as eligible. Considering the terms employed, "EMA", "ESM", and "DP" were the most predominant. A variety of DP data sources were reported, including voice, language, keyboard typing kinematics, mobile phone calls and texts, geocoded activity, actigraphy sensor-related recordings (i.e., steps, sleep, circadian rhythm), and self-reported apps' information. Reviewed studies employed subjectively and objectively recorded digital data in combination with interviews and psychometric scales.

CONCLUSIONS

Findings suggest links between a person's digital records and depression. Future research recommendations include (a) deriving consensus regarding the DP definition and (b) expanding the literature to consider a person's broader contextual and developmental circumstances in relation to their digital data/records.

Can Cognitive Control and Attentional Biases Explain More of the Variance in Depressive Symptoms Than Behavioral Processes? A Path Analysis Approach

Background

This study explored the proportion of variance in depressive symptoms explained by processes targeted by BA (activation, behavioral avoidance, anticipatory pleasure, and brooding), and processes targeted by cognitive control training (cognitive control, attentional biases, and brooding).

Methods

Five hundred and twenty adults were recruited. They completed a spatial cueing task as a measure of attentional biases and a cognitive task as a measure of cognitive control and completed self-report measures of activation, behavioral avoidance, anticipatory pleasure, brooding, and depressive symptoms. With path analysis models, we explored the relationships between these predictors and depressive symptoms.

Results

BA processes were significant predictors of depressive symptoms, and activation partially predicted anticipatory pleasure, which in turn predicted depressive symptoms. However, cognitive control and attentional biases predicted neither brooding nor depressive symptoms. A comprehensive model including all processes fit the data but did not explain more of the variance in brooding or depressive symptoms than a model including only BA processes.

Limitations

The spatial cueing task was associated with low reliability and the use of a non-clinical sample limited the generalizability of the conclusions.

Conclusion

Activation, behavioral avoidance, brooding, and anticipatory pleasure are relevant processes to target in order to reduce depressive symptoms, while cognitive control and attentional biases are not.

The Assessment of Eating Pleasure among Older Adults: Development and Preliminary Validation of the Anticipatory and Consummatory Eating Pleasure (ACEPS)

OBJECTIVE

Maintaining eating pleasure as long as possible is one of the determinants that contributes to and encourages good nutrition in the ageing population. Our study aimed to translate, adapt to the context of food and validate the Temporal Experience of Pleasure Scale (which distinguishes anticipatory and consummatory experiences of pleasure) in a food dependent older French population.

DESIGN

Prospective validation study.

SETTING

199 participants dependent for their meals, over 65 years old and living at home.

MEASUREMENTS

A pool of 16 self-reported items constituted the initial version of the anticipatory and consummatory eating pleasure scale (ACEPS). Demographic data, nutritional status, appetite and depressive mood were also assessed.

RESULTS

The exploratory factorial analysis and also the confirmatory factor analysis highlighted a two-factor model: anticipatory eating pleasure (four items) and consummatory eating pleasure (four items). The ACEPS showed good internal consistency. A higher score on the ACEPS positively correlated with appetite. Consummatory eating pleasure positively correlated with nutritional status and negatively correlated with depressive moods. The oldest-old and also those receiving a meals-on-wheels service had lower scores for anticipatory pleasure (r=-.14, p<.03).

CONCLUSION

To our knowledge, the ACEPS is the first comprehensive measure of eating pleasure distinguishing anticipatory and consummatory pleasure. This short measure, easily applicable on older people with vulnerability, allows early identification and intervention preventing malnutrition and decline in health. Specifically, encouraging anticipatory eating pleasure may be a first step to improving food intake among older adults.