Do people know how suicidal they will be? Understanding suicidal prospection

INTRODUCTION

Little research has been done on how people mentally simulate future suicidal thoughts and urges, a process we term suicidal prospection.

METHODS

Participants were 94 adults with recent suicidal thoughts. Participants completed a 42-day real-time monitoring study and then a follow-up survey 28 days later. Each night, participants provided predictions for the severity of their suicidal thoughts the next day and ratings of the severity of suicidal thoughts over the past day. We measured three aspects of suicidal prospection: predicted levels of desire to kill self, urge to kill self, and intent to kill self. We generated prediction errors by subtracting participants' predictions of the severity of their suicidal thoughts from their experienced severity.

RESULTS

Participants tended to overestimate (although the average magnitude was small and the modal error was zero) the severity of their future suicidal thoughts. The best fitting models suggested that participants used both their current suicidal thinking and previous predictions of their suicidal thinking to generate predictions of their future suicidal thinking. Finally, the average severity of predicted future suicidal thoughts predicted the number of days participants thought about suicide during the follow-up period.

CONCLUSIONS

This study highlights prospection as a psychological process to better understand suicidal thoughts and behaviors.

Development of a psychotherapy process prototype for the Real Relationship

OBJECTIVE

The Real Relationship (RR) describes the aspect of the psychotherapy relationship that is based on a genuine connection and a realistic view between patient and therapist. In the current study, we aimed to develop a Psychotherapy Process Q-set (PQS) prototype of the RR to facilitate post-hoc assessment of the RR in psychotherapy session recordings. We also aimed to measure the association between the RR-PQS and current PQS measures of theoretical treatment principles and the working alliance.

METHOD

We developed an RR-PQS prototype based on ratings of an ideal RR session by eight RR experts. We assessed the associations between the RR-PQS and existing cognitive behavioral and psychodynamic process prototypes, and seven PQS items known to predict the working alliance.

RESULTS

RR experts agreed on the ideal RR session ratings to a high degree (ICC = 0.89). The RR-PQS was moderately related to both cognitive behavioral (r = 0.66, p < 0.01), and psychodynamic prototypes (r = 0.56, p < 0.01). PQS items predictive of the working alliance were characteristic of the RR-PQS.

CONCLUSION

The RR-PQS prototype appears to behave in theoretically predicted ways and may be a valid measure of the RR.

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.

Affective forecasting and psychopathology: A scoping review

Affective forecasting - estimations of future emotional reactions - is an important aspect of future thinking that informs judgement and decision making. Biases in affective forecasting have been noted generally and with people with emotional disturbances specifically. Still, the role of affective forecasting within models of psychopathology has received little attention. Given the state of the literature, a scoping review method was adopted to summarize and synthesize the methodological approaches used in measuring affective forecasting within the context of psychopathology and the scope of the evidence on this association. Three databases were searched for research published on or before November 13th, 2023. Original quantitative research that examined affective forecasting and its association with psychopathology was reviewed. Data were charted using a form designed for this study. Overall, the review highlights the heterogeneity in operationalization of affective forecasting. The majority of the evidence supports an association between severity of psychopathology and intensity of affective forecasts, with notable exceptions, which are discussed within the scope of methodology and operationalization of affective forecasting. This remains an important process to investigate in information processing models of psychopathology to elucidate its role in the development and maintenance of psychopathology and potential as a target for intervention.

Accuracy of Expected Symptoms and Subsequent Quality of Life Measures Among Adults With COPD

Importance

Patients' expectations for future health guide their decisions and enable them to prepare, adapt, and cope. However, little is known about how inaccurate expectations may affect patients' illness outcomes.

Objective

To assess the association between patients' expectation inaccuracies and health-related quality of life.

Design, Setting, and Participants

This cohort study of patients with severe chronic obstructive pulmonary disease (COPD) was conducted from 2017 to 2021, which included a 24-month follow-up period. Eligible participants received outpatient primary care at pulmonary clinics of a single large US health system. Data were analyzed between 2021 and 2023.

Exposure

Expectation accuracy, measured by comparing patients' self-reported expectations of their symptom burden with their actual physical and emotional symptoms 3, 12, and 24 months in the future.

Main Outcome and Measure

Health-related quality of life, measured by the St George's Respiratory Questionnaire-COPD at 3, 12, and 24 months.

Results

A total of 207 participants were included (median age, 65.5 years [range, 42.0-86.0 years]; 120 women [58.0%]; 118 Black [57.0%], 79 White [38.2%]). The consent rate among approached patients was 80.0%. Most patients reported no or only limited discussions of future health and symptom burdens with their clinicians. Across physical and emotional symptoms and all 3 time points, patients' expectations were more optimistic than their experiences. There were no consistent patterns of measured demographic or behavioral characteristics associated with expectation accuracy. Regression models revealed that overoptimistic expectations of future burdens of dyspnea (linear regression estimate, 4.68; 95% CI, 2.68 to 6.68) and negative emotions (linear regression estimate, -3.04; 95% CI, -4.78 to 1.29) were associated with lower health-related quality of life at 3 months after adjustment for baseline health-related quality of life, forced expiratory volume over 1 second, and interval clinical events (P < .001 for both). Similar patterns were observed at 12 months (dyspnea: linear regression estimate, 2.41; 95% CI, 0.45 to 4.37) and 24 months (negative emotions: linear regression estimate, -2.39; 95% CI, -4.67 to 0.12; dyspnea: linear regression estimate, 3.21; 95% CI, 0.82 to 5.60), although there was no statistically significant association between expectation of negative emotions and quality of life at 12 months.

Conclusions and Relevance

In this cohort study of patients with COPD, we found that patients are overoptimistic in their expectations about future negative symptom burdens, and such inaccuracies were independently associated with worse well-being over time. Developing and implementing strategies to improve patients' symptom expectations may improve patient-centered outcomes.

Storm on predictive brain: A neurocomputational account of ketamine antidepressant effect

For the past decade, ketamine, an N-methyl-D-aspartate receptor (NMDAr) antagonist, has been considered a promising treatment for major depressive disorder (MDD). Unlike the delayed effect of monoaminergic treatment, ketamine may produce fast-acting antidepressant effects hours after a single administration at subanesthetic dose. Along with these antidepressant effects, it may also induce transient dissociative (disturbing of the sense of self and reality) symptoms during acute administration which resolve within hours. To understand ketamine's rapid-acting antidepressant effect, several biological hypotheses have been explored, but despite these promising avenues, there is a lack of model to understand the timeframe of antidepressant and dissociative effects of ketamine. In this article, we propose a neurocomputational account of ketamine's antidepressant and dissociative effects based on the Predictive Processing (PP) theory, a framework for cognitive and sensory processing. PP theory suggests that the brain produces top-down predictions to process incoming sensory signals, and generates bottom-up prediction errors (PEs) which are then used to update predictions. This iterative dynamic neural process would relies on N-methyl-D-aspartate (NMDAr) and α-amino-3-hydroxy-5-methyl-4-isoxazole-propionic receptors (AMPAr), two major component of the glutamatergic signaling. Furthermore, it has been suggested that MDD is characterized by over-rigid predictions which cannot be updated by the PEs, leading to miscalibration of hierarchical inference and self-reinforcing negative feedback loops. Based on former empirical studies using behavioral paradigms, neurophysiological recordings, and computational modeling, we suggest that ketamine impairs top-down predictions by blocking NMDA receptors, and enhances presynaptic glutamate release and PEs, producing transient dissociative symptoms and fast-acting antidepressant effect in hours following acute administration. Moreover, we present data showing that ketamine may enhance a delayed neural plasticity pathways through AMPAr potentiation, triggering a prolonged antidepressant effect up to seven days for unique administration. Taken together, the two sides of antidepressant effects with distinct timeframe could constitute the keystone of antidepressant properties of ketamine. These PP disturbances may also participate to a ketamine-induced time window of mental flexibility, which can be used to improve the psychotherapeutic process. Finally, these proposals could be used as a theoretical framework for future research into fast-acting antidepressants, and combination with existing antidepressant and psychotherapy.

Depression, Anxiety, Energy, and Fatigue Among Nurses Who Cared for Patients During the COVID-19 Pandemic: A Cross-Sectional Study

Purpose of Study: Nurses around the world have faced challenges during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the association between depression and anxiety and trait energy and trait fatigue, and baseline health status and work characteristics. Design of Study: A cross-sectional study. Methods: A survey was conducted to collect self-reported data from nurses involved in patient care in Northern Virginia. Depression and anxiety were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) depression and anxiety scales. To measure trait energy and trait fatigue, the Mental and Physical State and Trait Energy and Fatigue Scale (MPSTEFS) was used. Findings: There was a significant association between depression and energy (b=-0.46, t = -1.78, p < .001) and loneliness (b=1.38, t = 4.00, p < .001) and increased alcohol use (b=2.11, t = 2.04, p = .045). We also found that nurses with depression were significantly more likely to seek mental health counseling (b=-2.91, t = 2.54, p = 0.013), which was also the case for anxiety (b=3.13, t = 2.14, p = .036). Conclusions: Our study highlights the mental health burden among nurses who worked in the early phase of the COVID-19 pandemic and its association with increased alcohol use and loneliness. The findings may help healthcare leaders identify early signals of deterioration in nurses' well-being.

Depression, anxiety and PTSD symptoms before and during the COVID-19 pandemic in the UK

BACKGROUND

The impact of the coronavirus disease 2019 (COVID-19) pandemic on mental health is still being unravelled. It is important to identify which individuals are at greatest risk of worsening symptoms. This study aimed to examine changes in depression, anxiety and post-traumatic stress disorder (PTSD) symptoms using prospective and retrospective symptom change assessments, and to find and examine the effect of key risk factors.

METHOD

Online questionnaires were administered to 34 465 individuals (aged 16 years or above) in April/May 2020 in the UK, recruited from existing cohorts or via social media. Around one-third (n = 12 718) of included participants had prior diagnoses of depression or anxiety and had completed pre-pandemic mental health assessments (between September 2018 and February 2020), allowing prospective investigation of symptom change.

RESULTS

Prospective symptom analyses showed small decreases in depression (PHQ-9: -0.43 points) and anxiety [generalised anxiety disorder scale - 7 items (GAD)-7: -0.33 points] and increases in PTSD (PCL-6: 0.22 points). Conversely, retrospective symptom analyses demonstrated significant large increases (PHQ-9: 2.40; GAD-7 = 1.97), with 55% reported worsening mental health since the beginning of the pandemic on a global change rating. Across both prospective and retrospective measures of symptom change, worsening depression, anxiety and PTSD symptoms were associated with prior mental health diagnoses, female gender, young age and unemployed/student status.

CONCLUSIONS

We highlight the effect of prior mental health diagnoses on worsening mental health during the pandemic and confirm previously reported sociodemographic risk factors. Discrepancies between prospective and retrospective measures of changes in mental health may be related to recall bias-related underestimation of prior symptom severity.

Investigating the role of action-contingent expectancy biases in dysphoria-linked activity engagement behavioural choice

Reduced tendency to engage in potentially rewarding activities is a hallmark of depression. The present study investigated the role of future expectancy biases in depression-linked behavioural choice, in participants varying in self-reported depression symptoms (dysphoria). A novel laboratory paradigm was developed to test the hypotheses that the degree to which higher dysphoria is associated with reduced tendency to engage in a potentially rewarding activity is dependent on the presence of negative biases in the expected outcomes of activity engagement. Specifically, two types of expectancy biases were distinguished: a) the expected likelihood of a negative rather than positive outcome, and b) the expected emotional impact of either outcome. N = 176 undergraduate students with varied levels of dysphoria were given the opportunity to choose to engage in a coin-tossing game that could result in a win or loss monetary outcome in terms of charity donations, and then rated both types of expectancies. Results indicated that higher dysphoria was associated with more negative expectations concerning the likelihood of objective outcomes and the emotional impact of such outcomes, and as hypothesised, such negative expectancy biases mediated indirect associations between dysphoria and behavioural choice.

A pilot study investigating affective forecasting biases with a novel virtual reality-based paradigm

A body of research indicates that people are prone to overestimate the affective impact of future events. Here, we developed a novel experimental paradigm to study these affective forecasting biases under laboratory conditions using subjective (arousal and valence) and autonomic measures (skin conductance responses, SCRs, and heart rate). Thirty participants predicted their emotional responses to 15 unpleasant, 15 neutral, and 15 pleasant scenarios (affective forecasting phase) to which they were then exposed in virtual reality (emotional experience phase). Results showed that participants anticipated more extreme arousal and valence scores than they actually experienced for unpleasant and pleasant scenarios. The emotional experience phase was characterized by classic autonomic patterns, i.e., higher SCRs for emotionally arousing scenarios and greater peak cardiac acceleration for pleasant scenarios. During the affective forecasting phase, we found only a moderate association between arousal scores and SCRs and no valence-dependent modulation of cardiac activity. This paradigm opens up new perspectives for investigating affective forecasting abilities under lab-controlled conditions, notably in psychiatric disorders with anxious anticipations.

The relationship between psychiatric symptoms and affective forecasting bias

BACKGROUND AND OBJECTIVES

Affective forecasting (AF) is the prediction of future emotional states. Negatively biased affective forecasts (i.e., overestimating negative affect) have been associated with trait anxiety, social anxiety, and depression symptoms, but few studies have tested these relationships while covarying commonly co-occurring symptoms.

METHODS

In this study, participants (N = 114) completed a computer game in dyads. Participants were randomized into one of two conditions: a condition in which they were led to believe they were at-fault for losing their dyad money (n = 24 dyads) or a condition in which they were told no one was at fault (n = 34 dyads). Prior to the computer game, participants forecasted their affect for each potential game outcome.

RESULTS

More severe social anxiety, trait-level anxiety, and depressive symptoms were all associated with more negative AF bias in the at-fault relative to the no-fault condition, and this effect persisted when controlling for other symptoms. Cognitive and social anxiety sensitivity was also associated with more negative AF bias.

LIMITATIONS

The generalizability of our findings is innately limited by our non-clinical, undergraduate sample. Future work should replicate and extend our research in more diverse populations and clinical samples.

CONCLUSIONS

Overall, our results support that AF biases are observed across a range of psychopathology symptoms and associated with transdiagnostic cognitive risk factors. Future work should continue investigating the etiological role of AF bias in psychopathology.

Recall bias of students' affective experiences in adolescence: The role of personality and internalizing behavior

INTRODUCTION

Adolescence is characterized by multiple biopsychosocial changes, associated with a high intraindividual variability of emotional experiences. Previous findings suggest that this intraindividual variability is reflected in a recall bias of adolescents' emotion reports. However, corresponding findings are scarce and inconclusive. Studies on predictors of recall bias in adulthood indicate that personality traits, especially neuroticism and extraversion, as well as specific internalizing disorders might affect recall bias of emotion reports.

METHODS

The sample consists of 118 Swiss adolescent students in grade 8 and 9 (M_age  = 15.15, SD_age  = 0.89). The students' momentary affective experience was recorded using smartphones over seven consecutive days in situ at 42 randomly generated occasions (six per day), with a total of 1059 protocols on current events. At the end of the experience-sampling phase, students filled out an online questionnaire, providing information about their personality and typical behavior as well as their retrospective affective experience. In addition, the students' behavior was evaluated by their teachers. We applied two-level structural equation modeling with latent difference variables.

RESULTS

Adolescents high in extraversion showed retrospective overestimation of positive affective experiences and underestimation of negative affective experiences. Adolescents with high neuroticism tended to overestimate negative affect retrospectively, showing no significant effects for positive affect. However, internalizing behavior did not predict a negative recall bias in adolescents' affective experience.

CONCLUSIONS

Retrospective self-reports about adolescents' affective experience are biased by relatively stable individual factors, whereas less stable individual factors did not seem to have any influence.

Physiological arousal guides situational appraisals and metacognitive recall for naturalistic experiences

As individuals navigate the world, they are bound to have emotionally intense experiences. These events not only influence momentary physiological and affective responses, but may also have a powerful impact on one's memory for their emotional experience. In this research, we used the naturalistic context of a haunted house to examine how physiological arousal is associated with metacognitive emotional memory (i.e., the extent to which an individual remembers having experienced a certain emotion). Participants first navigated the haunted house while heart rate and explicit situational appraisals were recorded, and then recalled specific events from the haunted house and the intensity of these affective events approximately one week later. We found that heart rate predicted both the intensity of reported scariness in the haunted house and meta-cognitive memory of affect during recall. Critically, we found evidence for malleability in metacognitive emotional memory based on how the event was initially labeled. Individuals tended to recall events that they explicitly labeled as fear-evoking as being more intense than they reported at the time of the event. We found the opposite relationship for events that they labeled as not fear-evoking. Taken together, this indicates that there are strong relationships between physiological arousal and emotional experiences in naturalistic contexts, but that affective labeling can modulate the relationship between these features when reflecting on the emotionality of that experience in memory.

Socioeconomic inequality in depression and anxiety and its determinants in Iranian older adults

BACKGROUND

Older adults with lower socioeconomic status are more vulnerable to stressful life events and at increased risk of common mental health disorders like anxiety and depression. This study investigates the socioeconomic inequality in depressive symptoms and anxiety.

METHODS

The data were from 7462 participants of the Neyshabur longitudinal study of ageing registered during 2016-2018. The outcome variables were anxiety and depressive symptoms. Anxiety was defined by the "Hospital Anxiety and Depression scale Questionnaire", and depressive symptoms was defined and measured by the "short-term form of the Epidemiological Center Questionnaire." The socioeconomic status was defined using principal component analysis of home assets. The Concentration Index (C) was used to measure socioeconomic inequality in anxiety and depressive symptoms. Concentration index was decomposed to its determinants to determine the role of the independent variables on inequality.

RESULTS

The prevalence of depressive symptoms and anxiety was 12.2% (95% CI: 11.4, 12.9) and 7.0% (95% CI: 6.4, 7.5), respectively. Moreover, the C for anxiety was -0.195 (95% CI: -0.254, -0.136) and for depressive symptoms was -0.206 (95% CI: -0.252, -0.159), which indicate a considerable inequality in favor of high socioeconomic group for anxiety and depressive symptoms. Decomposition of the concentration Index showed that education, unemployment and male sex were the most important positive contributors to the observed inequality in anxiety and depressive symptoms, while age and number of grandchildren were main negative contributors of this inequality.

CONCLUSION

Low socioeconomic groups were more affected by anxiety and depressive symptoms. Any intervention for alleviation of inequality in anxiety and depression should be focus on education and employment of people, especially in younger elderly.

Social affective forecasting and social anhedonia in schizophrenia-spectrum disorders: a daily diary study

Social anhedonia (SA) is a trait-like phenomenon observed across schizophrenia-spectrum disorders (SSDs). While in-the-moment social pleasure experiences are intact in SSDs, anticipatory pleasure experiences may be disrupted. Thus, the prediction of future emotions in social situations, or social affective forecasting (SAF), may play a role in SA. Therefore, we utilized daily diary methods to examine SAF in SSD and the association between SAF and SA in 34 SSD and 43 non-SSD individuals. SAF was calculated as the absolute difference between anticipatory and consummatory ratings of 13 positive and negative emotions for daily social interactions reported across eight days. Results suggest that individuals with SSDs are less accurate in forecasting negative, but not positive emotions, for future social interactions. Further, poorer forecasting accuracy of negative emotions were associated with elevated levels of SA and lower social pleasure. Together, these data suggest that inaccuracies in forecasting negative emotions may be a worthwhile intervention target for reducing SA in SSDs.

Emotion regulation strategy correlates with discrete state emotion in major depression

BACKGROUND AND OBJECTIVES

Research has shown that state emotion can affect emotion regulation strategies in healthy samples. Emotion regulation plays an important role in depression. We hypothesized that for depressed individuals, experiencing anxiety or anger affects emotion regulation strategy use differently than experiencing sadness.

DESIGN AND METHODS

Individuals diagnosed with chronic or recurrent depression (N = 386) responded to vignettes of hypothetical stressors and reported their state emotions and emotion regulation strategies in a thought-listing procedure. We modeled the effect of reporting anger or anxiety compared to sadness on the use of seven emotion regulation strategies: avoidance, distraction, other-blame, problem-solving, rumination, self-blame, and social support.

RESULTS

Compared to sadness, anger was associated with a greater likelihood of using other-blame, and a lower likelihood of using avoidance, rumination, or self-blame. Compared to sadness, anxiety was associated with a greater likelihood of using self-blame. Responses with anger or anxiety did not significantly differ from sadness in coder-rated adaptiveness.

CONCLUSIONS

Differences in observed emotion regulation strategy use were correlated with the discrete emotions experienced, and not overall adaptiveness of a response. These results highlight the importance of assessing for emotion type when studying emotion regulation strategy use in depression.

How Will You Feel on Valentine's Day? Affective Forecasting and Recall Biases as a Function of Anxiety, Depression, and Borderline Personality Disorder Features

Introduction

The prediction of affective experiences, also known as affective forecasting, is an integral component of individuals' decision-making processes. Yet, research consistently demonstrates that affective forecasts (AF) and recollections (AR) are generally inaccurate. Recent research has demonstrated distinct patterns of AF/R bias related to psychopathology. The present study examined the relationship between AF/R and features of Borderline Personality Disorder (BPD), anxiety, and depression using Valentine's Day as the target event.

Methods

Undergraduate students (N=263; 33% white; 63% female; Mage=19.08) predicted their affective states a week before, and then reported their actual affective states on Valentine's Day and the two days after, and recalled Valentine's Day affect two days later.

Results

Results indicate that higher BPD symptomatology predicted a significant overestimation of negative affect (B=.17, p=.02), even after controlling for anxiety and depression. Additionally, individuals' levels of depressive, anxious, and BPD symptomatology were significant predictors of AF of positive affect when entered into regression analyses separately, however when entered together, only depressive symptoms remained significant. Specifically, higher depressive symptoms predicted a significant underestimation of positive affect (B=-.21, p=.01).

Discussion

Results were in line with prior research indicating that unique patterns of AF biases are associated with symptoms of psychopathology. However, results failed to support prior research linking AR biases to symptoms of psychopathology. Implications for future studies of affective biases and psychopathology more generally are discussed.

The Effect of Psychological Distress on Measurement Invariance in Measures of Mental Wellbeing

A growing literature supports the expansion of mental health assessment to include indicators of mental wellbeing; however, the concurrent use of measures of wellbeing and distress introduces potential sources of measurement error. The current study examines whether the mental health continuum short form is invariant to the level of participants' psychological distress. Measurement invariance testing was conducted within an Australian population (n = 8406) who participated in an online survey. The depression anxiety stress scale was used to construct a non-distressed group (n = 6420) and a severe-distress group (n = 1968). Results showed that metric invariance was not observed, as item loadings on the latent variables were significantly different between the groups. This signifies that wellbeing items may be interpreted and valued differently by distressed and non-distressed individuals. Metric non-invariance indicates that total and subscale scores may not be equivalent, and caution is required when making comparisons between these groups.

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.

Behavioral Activation through Virtual Reality for Depression: A Single Case Experimental Design with Multiple Baselines

Behavioral activation (BA) is a structured psychotherapeutic approach for the treatment of major depressive disorder (MDD), which aims at increasing the engagement in activities that might bring enjoyment and meaning to patients’ lives. Although a growing body of evidence supports the effectiveness of BA, enhancing the motivation and activity level of depressed patients is often challenging. In the present study, we explored the effectiveness of a brief BA treatment supported by virtual reality (VR) to facilitate the visualization and anticipation of four pleasurable activities that we tried to re-introduce in the patients’ daily routine. To do so, we conducted a single-case experimental design with multiple baselines in a sample of patients with moderate to severe depressive symptoms. Three overlap analyses across participants and across behaviors were conducted to calculate the rate of improvement of each patient after the delivery of the intervention. Across the three overlap indices, the participants generally showed moderate-to-large improvements in the level of daily activity, as well as in the time spent planning and/or engaging in one or more activities scheduled during the intervention. Furthermore, most patients also reported a moderate-to-large reduction in daily depressive symptoms and improved mood. Overall, the promising results of the present study suggest that the proposed VR-based BA intervention might represent a valid approach to behaviorally activate depressed patients. The barriers and future lines of research of this innovative field are discussed.

A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data

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 experiences. Underlying this procedure are some fundamental assumptions about (i) the relation between true moment-to-moment experiences and retrospective evaluations of those experiences, (ii) the translation of these experiences and evaluations to different types of data, (iii) the comparison of these different types of data, and (iv) 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.

[Belief updating and mood congruence in depressive disorder]

Depressive disorder is characterized by a polymorphic symptomatology associating emotional, cognitive and behavioral disturbances. One of the most specific symptoms is negative beliefs, called congruent to mood. Despite the importance of these beliefs in the development, the maintenance, and the recurrence of depressive episodes, little is known about the processes underlying the generation of depressive beliefs. In this paper, we detail the link between belief updating mechanisms and the genesis of depressive beliefs. We show how depression alters information processing, generating cognitive immunization when processing positive information, affective updating bias related to the valence of belief and prediction error, and difficultie to disengage from negative information. We suggest that disruption of belief-updating mechanisms forms the basis of belief-mood congruence in depression.

Discovering different profiles in the dynamics of depression based on real-time monitoring of mood: a first exploration

BACKGROUND

Although depression is typically characterized by a persistent depressed mood, mood dynamics do seem to vary across a depressed population. Heterogeneity of mood variability (magnitude of changes) and emotional inertia (speed at which mood shifts) is seen in clinical practice. However, studies investigating the heterogeneity of these mood dynamics are still scarce. The aim of the present study is to explore different distinctive profiles in real-time monitored mood dynamics among depressed persons.

METHODS

After completing baseline measures, mildly-to-moderately depressed persons (n = 37) were prompted to rate their current mood (1-10 scale) on their smartphones, 3 times a day for 7 consecutive days. Latent profile analyses were applied to identify profiles based on average mood, variability of mood and emotional inertia as reported by the participants.

RESULTS

Two profiles were identified in this sample. The overwhelming majority of the sample belonged to profile 1 (n = 31). Persons in profile 1 were characterized by a mood just above the cutoff for positive mood (M = 6.27), with smaller mood shifts (lower variability [SD = 1.05]) than those in profile 2 (n = 6), who displayed an overall negative mood (M = 4.72) and larger mood shifts (higher variability [SD = 1.95]) but at similar speed (emotional inertia) (AC = 0.19, AC = 0.26, respectively).

CONCLUSIONS

The present study provides preliminary indications for patterns of average mood and mood variability, but not emotional inertia, among mildly-to-moderately depressed persons.

Levels and Instability of Daily Self-Esteem in Adolescents: Relations to Depressive and Anxious Symptoms

The current study examined whether individual differences in depressive and anxious symptoms relate to level of daily self-esteem and instability of daily self-esteem in adolescence. Participants were a racially and ethnically diverse sample of adolescents (79 girls, 65 boys; M age = 13.53 years). Adolescents reported on their depressive and anxious symptoms during a baseline home visit. Then, adolescents reported on their daily self-esteem over the course of 12 consecutive days. Using hierarchical linear modeling analyses, level of daily self-esteem was negatively associated with depressive but not anxious symptoms. In addition, a positive relation emerged between instability of daily self-esteem and depressive symptoms when controlling for level of self-esteem; a similar relation did not emerge for anxious symptoms. The differential findings that emerged between both level and instability of daily self-esteem and depressive versus anxious symptoms may be linked to differences in the temporal orientation of these two types of internalizing symptoms; specifically, depressive symptoms result from backward-looking rumination over previous experiences, whereas anxious symptoms emerge from forward-looking worry about future events (Wenze et al., 2012).

The Utility of Clinical Psychology Concepts for Judgment and Decision-Making Research: The Case of Histrionic Features

This research was conducted to highlight the utility of considering clinical psychology concepts in judgment and decision research. Our overarching thesis is that the judgments and choices people make may often be influenced by clinically relevant phenomena, and that understanding these relationships can, in a reciprocal fashion, help advance our understanding of judgment and decision making as well as specific clinical diagnoses and proclivities. We focused on histrionic personality disorder and conducted four studies that show that histrionic symptomology predicts preferences and choices that facilitate grabbing others' attention, even when such choices cost more money, and are at the expense of giving up more tangible features. In addition to demonstrating a new implication of the histrionic personality, we provide insight into the process underlying this tendency and discuss implications for mental health service providers.

Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening

Introduction

Major depression affects over 300 million people worldwide, but cases are often detected late or remain undetected. This increases the risk of symptom deterioration and chronification. Consequently, there is a high demand for low threshold but clinically sound approaches to depression detection. Recent studies show a great willingness among users of mobile health apps to assess daily depression symptoms. In this pilot study, we present a provisional validation of the depression screening app Moodpath. The app offers a 14-day ambulatory assessment (AA) of depression symptoms based on the ICD-10 criteria as well as ecologically momentary mood ratings that allow the study of short-term mood dynamics.

Materials and methods

N = 113 Moodpath users were selected through consecutive sampling and filled out the Patient Health Questionnaire (PHQ-9) after completing 14 days of AA with 3 question blocks (morning, midday, and evening) per day. The psychometric properties (sensitivity, specificity, accuracy) of the ambulatory Moodpath screening were assessed based on the retrospective PHQ-9 screening result. In addition, several indicators of mood dynamics (e.g. average, inertia, instability), were calculated and investigated for their individual and incremental predictive value using regression models.

Results

We found a strong linear relationship between the PHQ-9 score and the AA Moodpath depression score (r = .76, p < .001). The app-based screening demonstrated a high sensitivity (.879) and acceptable specificity (.745). Different indicators of mood dynamics covered substantial amounts of PHQ-9 variance, depending on the number of days with mood data that were included in the analyses.

Discussion

AA and PHQ-9 shared a large proportion of variance but may not measure exactly the same construct. This may be due to the differences in the underlying diagnostic systems or due to differences in momentary and retrospective assessments. Further validation through structured clinical interviews is indicated. The results suggest that ambulatory assessed mood indicators are a promising addition to multimodal depression screening tools. Improving app-based AA screenings requires adapted screening algorithms and corresponding methods for the analysis of dynamic processes over time.

An Initial Study of Practicing Psychologists' Views of the Utility of Ecological Momentary Assessment for Difficult Psychotherapy Cases

Ecological momentary assessment (EMA) is a burgeoning area of research, and several clinical applications of the resulting data have been identified by researchers, suggesting potential benefit to psychotherapy practice. However, practitioners often do not use traditional empirically-supported tools for diagnosis and outcome monitoring (e.g., validated interview measures and questionnaires). Thus, it is not clear how readily practitioners will take up newer technology-enhanced assessment methods, despite current enthusiasm among researchers. The current study aimed to explore the perceived usefulness of EMA-based tools for clinical assessment and outcome monitoring of difficult psychotherapy cases, as well as to identify correlates of attitudes about the usefulness of these tools. Clinical psychologists in active therapy practice with adults (n = 375) completed an internet survey including the Attitudes toward Standardized Assessment scale and the Attitudes toward Standardized Assessment Scales-Monitoring and Feedback. Respondents characterized their current diagnostic and outcome monitoring practices and rated how helpful they would find several assessment and outcome monitoring resources for a difficult case, including both traditional instruments and EMA-based methods. EMA-based tools had lower perceived usefulness than existing instruments. Attitudes toward standardized assessment and outcome monitoring predicted the perceived utility of these methods, as did several professional variables. Practicing psychologists may not adopt EMA for clinical assessment more readily than traditional assessment tools. Recommendations for facilitating the uptake of new technologies by psychotherapists are offered.

When Beliefs Face Reality: An Integrative Review of Belief Updating in Mental Health and Illness

Belief updating is a relatively nascent field of research that examines how people adjust their beliefs in light of new evidence. So far, belief updating has been investigated in partly unrelated lines of research from different psychological disciplines. In this article, we aim to integrate these disparate lines of research. After presenting some prominent theoretical frameworks and experimental designs that have been used for the study of belief updating, we review how healthy people and people with mental disorders update their beliefs after receiving new information that supports or challenges their views. Available evidence suggests that both healthy people and people with particular mental disorders are prone to certain biases when updating their beliefs, although the nature of the respective biases varies considerably and depends on several factors. Anomalies in belief updating are discussed in terms of both new insights into the psychopathology of various mental disorders and societal implications, such as irreconcilable political and societal controversies due to the failure to take information into account that disconfirms one’s own view. We conclude by proposing a novel integrative model of belief updating and derive directions for future research.

Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps

Background

Web-based interventions for depression have been widely tested for usability and functioning. However, the few studies that have addressed the therapeutic quality of these interventions have mainly focused on general aspects without consideration of specific quality factors related to particular treatment components. Clinicians and scientists are calling for standardized assessment criteria for web-based interventions to enable effective and trustworthy patient care. Therefore, an extensive evaluation of web-based interventions at the level of individual treatment components based on therapeutic guidelines and manuals is needed.

Objective

The objective of this study was to evaluate the quality of unguided web-based interventions for depression at the level of individual treatment components based on their adherence to current gold-standard treatment guidelines and manuals.

Methods

A comprehensive online search of popular app stores and search engines in January 2018 revealed 11 desktop programs and 17 smartphone apps that met the inclusion criteria. Programs and apps were included if they were available for German users, interactive, unguided, and targeted toward depression. All programs and apps were tested by three independent researchers following a standardized procedure with a predefined symptom trajectory. During the testing, all web-based interventions were rated with a standardized list of criteria based on treatment guidelines and manuals for depression.

Results

Overall interrater reliability for all raters was substantial with an intraclass correlation coefficient of 0.73 and Gwet AC1 value of 0.80. The main features of web-based interventions included mood tracking (24/28, 86%), psychoeducation (21/28, 75%), cognitive restructuring (21/28, 75%), crisis management (20/28, 71%), behavioral activation (19/29, 68%), and relaxation training (18/28, 64%). Overall, therapeutic meaningfulness was rated higher for desktop programs (mean 4.13, SD 1.17) than for smartphone apps (mean 2.92, SD 1.46).

Conclusions

Although many exercises from manuals are included in web-based interventions, the necessary therapeutic depth of the interventions is often not reached, and risk management is frequently lacking. There is a need for further research targeting general principles for the development and evaluation of therapeutically sound web-based interventions for depression.

Do We Know What We Enjoy? Accuracy of Forecasted Eating Happiness

Forecasting how we will react in the future is important in every area of our lives. However, people often demonstrate an "impact bias" which leads them to inaccurately forecast their affective reactions to distinct and outstanding future events. The present study examined forecasting accuracy for a day-to-day repetitive experience for which people have a wealth of past experiences (eating happiness), along with dispositional expectations toward eating ("foodiness"). Seventy-three participants (67.12% women, M age = 41.85 years) used a smartphone-based ecological momentary assessment to assess their food intake and eating happiness over 14 days. Eating happiness experienced in-the-moment showed considerable inter-and intra-individual variation, ICC = 0.47. Comparing forecasted and in-the-moment eating happiness revealed a significant discrepancy whose magnitude was affected by dispositional expectations and the variability of the experience. The results demonstrate that biased forecasts are a general phenomenon prevalent both in outstanding and well-known experiences, while also emphasizing the importance of inter-individual differences for a detailed understanding of affective forecasting.

Biased Affective Forecasting: A Potential Mechanism That Enhances Resilience and Well-Being

According to a growing body of studies, people's ability to forecast future emotional experiences is generally biased. Nonetheless, the existing literature has mainly explored affective forecasting in relation to specific events, whereas little is still known about the ability to make general estimations of future emotional states. Based on existing evidence suggesting future-oriented disposition as a key factor for mental health, the aims of the current study were (1) to investigate the relationship between negative (NA) and positive (PA) affective forecasting biases and perceived psychological well-being, and (2) to explore whether positively biased predictions are associated with resilience and foster one's skills to cope with stressful events. To do so, we asked 85 undergraduate students to forecast PA and NA over 2 weeks, as well as to report their daily affect through a web-based Ecological Momentary Assessment. According to the results, positively biased PA forecasting (i.e., overestimating positive emotional states) was associated with greater perceived psychological well-being and higher resilience. When high levels of stress were experienced, participants holding an optimistic, yet biased, estimation of future PA were more likely to successfully manage stressors, thus maintaining lower levels of NA and higher levels of positive emotions. We suggest that positively biased PA forecasting is an adaptive cognitive distortion that boosts people's resilience and mental health, thus opening new avenues for the promotion of psychological well-being.

Affect Recall Bias: Being Resilient by Distorting Reality

Background

According to a growing body of literature, people are quite inaccurate in recalling past affective experiences. Nevertheless, the mechanism underlying this recall bias (i.e., the tendency to overestimate and/or underestimate positive or negative past emotional experiences) remains unclear, and its association with mental health has not been studied yet.

Methods

We adopted a smartphone-based Ecological Momentary Assessment to monitor daily affect (n = 92) and investigate the association between affect recall bias, mental health and resilience.

Results

While the tendency to overestimate negative affective experiences was observed in participants reporting mild depressive symptoms, positive affect (PA) overestimation as compared to PA underestimation was associated with better mental health (i.e. higher psychological well-being and lower depressive and anxiety symptoms) through the enhancement of resilience. Furthermore, positively biased participants (i.e. PA over estimators) benefited from greater well-being, even when compared to accurate individuals.

Conclusions

While people appear to use retrospective PA overestimation as a strategy to enhance well-being and resilience, they are not likely to underestimate past negative experiences to feel better. Accordingly, owning an optimistic vision of the past may represent an adaptive “distortion” of reality that fosters people’s mental health. The clinical implications of cultivating PA and learning strategies to regulate both negative and positive emotions are discussed.

Associations Between Social Anxiety and Affective and Empathic Forecasts: A Replication and Extension in a Mechanical Turk Sample

People often overestimate the intensity and duration of their future emotions, referred to as an impact bias. Impact biases have been documented in predictions people make about their own emotions, as well as the others' emotions (i.e., affective and empathic forecasting, respectively). Recent studies have shown that negative impact biases may be stronger, and positive impact biases may be attenuated, in individuals with symptoms of social anxiety. The current study sought to replicate and extend these findings in a Mechanical Turk (MTurk) sample. MTurk is a particularly interesting online platform for such research because of the unusually high prevalence of social anxiety among MTurk users. Within a computer-based survey, 93 MTurk users read vignettes in which a second-person narrator elicited either disgust, anger, or happiness from another person. After each vignette, participants predicted how the narrator (i.e., affective forecasts) and the other person (i.e., empathic forecasts) would feel. Overall, results confirmed the existence of associations between social anxiety symptoms and negative affective and empathic forecasting biases, though no significant relations were found between social anxiety symptoms and positive forecasting biases. Negative affective and empathic forecasting biases were significantly correlated. Age and gender were also examined as potential predictors and moderators of hypothesized effects. Though younger age and female gender were associated with specific forecast ratings, controlling for these variables did not alter the associations between social anxiety and affective or empathic forecasts and no moderation effects were found. Overall, results provide additional support for the relevance of impact biases to social anxiety and suggest that they may be useful targets of intervention.

Trajectories of Current and Predicted Satisfaction With One's Life Following a Cancer Diagnosis

Background

Poor physical and mental health is common among cancer survivors, but little is known about how cancer influences life satisfaction and expectations about one's future, both of which may subsequently influence health decisions and outcomes.

Purpose

The current study examined how a cancer diagnosis influences current and predicted future life satisfaction in seven domains, including family, finances, work, and health.

Methods

We leveraged data from three waves of the Midlife in the United States study (N = 6,389) and examined the relation between new and past cancer diagnoses on satisfaction using generalized estimating equations. We also compared participants' predicted satisfaction to the actual satisfaction they reported at later waves of data collection, and examined whether concordance between the two differed by cancer history.

Results

A cancer diagnosis was associated with a decline in satisfaction about one's present health and sex life, ps < .05, but satisfaction with all other domains remained steady or improved. In contrast, predictions about the future became and remained less optimistic than the predictions of those without cancer across all life domains except relationships with children, ps < .05. Within-subjects comparisons of predicted and actual satisfaction suggest those without a cancer history were optimistic in their predictions across all life domains except health whereas survivors were more accurate in their predictions.

Conclusions

Given the many ways in which expectations about the future can influence decision making, behavior, and health, survivors' attenuated optimistic outlooks may influence their health and well-being.

Prediction Errors in Depression: A Quasi-Experimental Analysis

The overprediction and underprediction of fear, pain, and other constructs have been linked with etiology and maintenance of anxiety disorders. We aimed to extend this research to depression by investigating the overprediction of effort and the underprediction of reward and enjoyment associated with a simple task. Participants with depression (n = 20) and a control group (n = 40) predicted how much effort and reward/enjoyment would be experienced during a short walk around the university. Post-walk, participants reported the actual effort required and the actual experienced reward and enjoyment. Compared to the control group, who demonstrated accurate predictions, depressed individuals significantly overpredicted the required effort associated with the walk even though there were no between-group differences in actual effort required. There was no evidence to suggest that the depressed group underestimated or were inaccurate in their predictions of walk-related reward and enjoyment relative to the control group. Implications for cognitive and behavioral approaches to depression are discussed.

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

Anhedonia, the experience of diminished pleasure, is a core feature of major depressive disorder and is often present long before the diagnosis of depression. Most previous studies have investigated anhedonia with self-report measures of trait anhedonia or with behavioral paradigms using laboratory stimuli, and the real-time characteristics of hedonic processing in subclinical depression remain under-investigated. We used the experience sampling method to evaluate momentary experience of hedonic feelings in the context of daily life. Dysphoric (n = 49) and non-dysphoric (n = 51) college students completed assessments of their current positive affect (PA), as well as state anticipatory and consummatory pleasure, 3 or 4 times a day every day for 2 weeks. The results showed that dysphoric individuals reported less state anticipatory and consummatory pleasure compared with non-dysphoric individuals. Moreover, significant time-lagged associations between anticipatory pleasure and follow-up consummatory pleasure were found in the whole sample, after adjustment for current PA. The current findings thus hold considerable promise in advancing our understanding of anhedonia as well as the important role of state anticipatory pleasure in relation to depression.

Welfare-improving enrichments greatly reduce hens' startle responses, despite little change in judgment bias

Responses to ambiguous and aversive stimuli (e.g. via tests of judgment bias and measures of startle amplitude) can indicate mammals’ affective states. We hypothesised that such findings generalize to birds, and that these two responses co-vary (since both involve stimulus evaluation). To validate startle reflexes (involuntary responses to sudden aversive stimuli) and responses in a judgment bias task as indicators of avian affective state, we differentially housed hens with or without preferred enrichments assumed to improve mood (in a crossover design). To control for personality, we first measured hens’ baseline exploration levels. To infer judgment bias, control and enriched hens were trained to discriminate between white and dark grey cues (associated with reward and punishment, respectively), and then probed with intermediate shades of grey. For startle reflexes, forceplates assessed responses to a light flash. Judgment bias was only partially validated: Exploratory hens showed more ‘optimism’ when enriched, but Non-exploratory hens did not. Across all birds, however, startle amplitudes were dramatically reduced by enrichment (albeit more strongly in Exploratory subjects): the first evidence that avian startle is affectively modulated. Startle and judgment biases did not co-vary, suggesting different underlying mechanisms. Of the two measures, startle reflexes thus seem most sensitive to avian affective state.

Association of Physical Activity and Screen Time with Psychiatric Distress in Children and Adolescents: CASPIAN-IV Study

BACKGROUND

There are limited studies about the association of physical activity (PA) and screen time (ST) with psychiatric distress (PD) among children and adolescents including Iranian populations.

OBJECTIVE

We aimed to examine the independent and combined associations of PA and ST with PD among children and adolescents.

METHOD

This school-based nationwide survey was carried out among 14 880 students (50.8% boys and 75.6% urban inhabitants), of age 6-18 years by cluster and the stratified multistage sampling method from 30 provinces of Iran. The students and their parents completed two sets of questionnaires obtained from Global School Health Survey with several questions about the PD. The time spent on watching TV/video and computer games and PA were assessed by self-administered validated questionnaires.

RESULTS

The study had a participation rate of 90.6%. Of the studied students, 45.85%, 83.62%, 37.81% and 23.92% had depression, anger, insomnia and worthlessness, respectively. The prevalence of confusion, anxiety and worry was reported in 19.6%, 55.17% and 75.31% of the students, respectively. The combined effect of PA and that of ST showed that students with high PA and low ST had the lowest prevalence of PD, while the highest prevalence of these PD was observed among students with low PA combined with high ST (p < 0.05 for all).

CONCLUSIONS

Increasing PA and reducing ST should both be considered for improving the mental health status of children and adolescents.

The relationship between the psychological stress of adolescents in school and the prevalence of chronic low back pain: a cross-sectional study in China

BACKGROUND

Accumulating evidence supports an association between an unhealthy mental state and low back pain (LBP). However, the degree of the association between mental health and chronic low back pain (CLBP) in the general population is poorly understood. The objective of this study was to analyze the incidence of CLBP in Chinese college students and to examine the association between students' unhealthy mental states and the prevalence of CLBP.

METHODS

This is a cross-sectional study. A total of 10,000 questionnaires were distributed in the second semester of the 2017-2018 academic year by the School of Medicine, Shanghai JiaoTong University. Eligible participants were students aged ≥ 18 years from randomly selected Chinese colleges. Participants completed a questionnaire survey that included items from the Symptom Checklist-90 (SCL-90) and items on demographic factors, LBP prevalence, quality of life at their university, study-related stress and interpersonal relationships. The evaluation of students' mental states in the survey was divided into two major parts: direct and indirect indicators. A multivariate logistic regression model was mainly used to explore the relationship between CLBP and the students' mental health.

RESULTS

There was a high incidence of CLBP in the college students. Multiple logistic regression analysis indicated that the risk of CLBP increased with increasing scores on the SCL-90, and a clinically unhealthy mental state (scores greater than 3) was significantly associated with CLBP (adjusted odds ratios for depression, anxiety, coercion, paranoia, and interpersonal sensitivity were 7.209, 6.593, 3.959, 4.465, and 4.283, respectively; p < 0.001). Participants who had poor living habits or uncomfortable campus lives and those who experienced heavy academic pressure also showed a higher positive association with CLBP compared with the full sample.

CONCLUSIONS

Unhealthy psychological conditions, which may be attributed to unsatisfying school lives, excessive learning pressure, and uncomfortable interpersonal relationships, represent a risk factor for CLBP in college students.

Affective forecasting accuracy in obsessive compulsive disorder

BACKGROUND

Research indicates that people suffering from obsessive compulsive disorder (OCD) possess several cognitive biases, including a tendency to over-estimate threat and avoid risk. Studies have suggested that people with OCD not only over-estimate the severity of negative events, but also under-estimate their ability to cope with such occurrences. What is less clear is if they also miscalculate the extent to which they will be emotionally impacted by a given experience.

AIMS

The aim of the current study was twofold. First, we examined if people with OCD are especially poor at predicting their emotional responses to future events (i.e. affective forecasting). Second, we analysed the relationship between affective forecasting accuracy and risk assessment across a broad domain of behaviours.

METHOD

Forty-one OCD, 42 non-anxious, and 40 socially anxious subjects completed an affective forecasting task and a self-report measure of risk-taking.

RESULTS

Findings revealed that affective forecasting accuracy did not differ among the groups. In addition, there was little evidence that affective forecasting errors are related to how people assess risk in a variety of situations.

CONCLUSIONS

The results of our study suggest that affective forecasting is unlikely to contribute to the phenomenology of OCD or social anxiety disorder. However, that people over-estimate the hedonic impact of negative events might have interesting implications for the treatment of OCD and other disorders treated with exposure therapy.

How badly will I feel if you don't like me?: Social anxiety and predictions of future affect

The current study investigated whether high and low socially anxious individuals would show differences in affective forecasting accuracy (i.e., the prediction of emotional states in response to future events) to positive versus negative social evaluation. High (n=94) and low (n=98) socially anxious participants gave a speech and were randomly assigned to receive a positive or negative evaluation. For affective forecasts made proximally (moments before the speech), those low in social anxiety overpredicted their affect to a greater extent to a negative evaluation versus a positive evaluation. In contrast, those high in social anxiety overpredicted their affect to positive and negative evaluations comparably, and failed to adjust their prediction for a future hypothetical negative evaluation - in effect, not learning from their prior forecasting error. Results suggest that affective forecasting biases deserve further study as a maintaining factor for social anxiety symptoms.

Biases in Affective Forecasting and Recall as a Function of Borderline Personality Disorder Features

Introduction: The ability to predict emotional experiences, “affective forecasting,” is an essential factor in individuals' decision-making processes. Research has shown that, generally, individuals are inaccurate in their affective forecasts/recollections, and that certain psychological disorders may be related to individual differences in these inaccuracies, or biases. Understanding the role of affective biases in disorders characterized by emotion dysregulation, like Borderline Personality Disorder (BPD), may provide important information regarding the sources of said dysregulation. The present study aimed to identify specific or unique patterns in affective forecasting/recall biases as a function of BPD features.

Method: Using a sample of undergraduates (n = 185), we compared predicted and recalled affective states with actual affect following a sadness-evoking film clip. We predicted that higher levels of BPD features would be associated with greater affective forecasting and recall biases.

Results: Results indicated that BPD features predicted a specific pattern of forecasting and recall biases regarding the clip. Counter to our hypotheses, as BPD features increased, forecasts/recollections of their affective states following the sadness-evoking film clip were more accurate (less biased).

Discussion: Results indicate that BPD features may be related to a specific pattern of bias with negative affective states and warrant further study. Furthermore, this study provides evidence that disorder-specific patterns of forecasting/recall bias can be studied with a laboratory-based paradigm.

Mental imagery as a "motivational amplifier" to promote activities

Facilitating engagement in rewarding activities is a key treatment target in depression. Mental imagery can increase engagement in planned behaviours, potentially due to its special role in representing emotionally salient experiences. The present study tested the hypothesis that mental imagery promotes motivation and engagement when planning pleasant and rewarding activities. Participants were recruited from a community volunteer panel (N = 72). They self-nominated six activities to complete over the following week, and were randomized to either: a) a single-session Motivational Imagery condition (N = 24); b) an Activity Reminder control condition (N = 24); or c) a No-Reminder control condition (N = 24). As predicted, relative to control groups, the Motivational Imagery group reported higher levels of motivation, anticipated pleasure, and anticipated reward for the planned activities. The Motivational Imagery group also completed significantly more activities than the Activity Reminder group, but not more than the No-Reminder group. Relevance of results to behavioural activation approaches for depression are discussed.

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Mental imagery of planned activities increases motivation to engage in them.

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Higher imagery vividness is associated with higher anticipated reward.

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Mental imagery of planned activities is associated with higher activity completion.

Media Coverage, Forecasted Posttraumatic Stress Symptoms, and Psychological Responses Before and After an Approaching Hurricane

IMPORTANCE

Exposure to disaster-related media coverage is associated with negative mental health outcomes. However, risk factors that render individuals vulnerable to this exposure are unknown. Hurricane-associated media exposure was expected to explain the association between forecasted posttraumatic stress (PTS) and adjustment after the hurricane.

OBJECTIVE

To examine forecasted PTS responses and media coverage as risk factors for negative mental health outcomes in the context of media coverage of an approaching disaster (Hurricane Irma).

DESIGN, SETTING, AND PARTICIPANTS

In a representative probability community sample of 1637 adults from Florida, respondents completed 2 online surveys: the first during the 60 hours before Hurricane Irma's landfall (wave 1; September 8-11, 2017) and the second approximately 1 month later (wave 2; October 12-29, 2017). Poststratification weights were applied to facilitate population-based inferences. Data were analyzed from October 19 through 31, 2018.

MAIN OUTCOMES AND MEASURES

Posttraumatic stress responses, psychological distress, functional impairment, and worry about future events.

RESULTS

The wave 1 survey included 1637 participants (57.0% response rate); 1478 participants were retained at the wave 2 follow-up (90.3% retention) (weighted proportion of women, 62.2%; mean [SD] age, 59.1 [15.2] years). The final weighted sample closely approximated US Census benchmarks for the state of Florida. Data analyses using structural equation modeling revealed that exposure to media coverage of the hurricane (β = 0.21; 95% CI, 0.11-0.31; P < .001) and forecasted PTS (β = 0.44; 95% CI, 0.35-0.52; P < .001) were significantly associated with adjustment after the hurricane. In addition, a significant indirect path from forecasted PTS to adjustment after the storm occurred through exposure to hurricane-related media coverage (β = 0.07; 95% CI, 0.05-0.08; P < .001). Covariates included demographics, mental health diagnoses before the storm, perceived evacuation zone status, and degree of hurricane exposure.

CONCLUSIONS AND RELEVANCE

Results of this study provide a more thorough understanding of how psychological factors before hurricanes are associated with adjustment after hurricanes via media consumption. The findings may also demonstrate the importance of considering prestorm psychological factors when assessing poststorm outcomes, with implications for the media and public health efforts.

That Was Easy! Expectancy Violations During Exposure and Response Prevention for Childhood Obsessive-Compulsive Disorder

Violating expectancies during exposure therapy is proposed to promote inhibitory learning and improved treatment outcomes. Because people tend to overestimate how distressing emotionally challenging situations will be, violating expectations of distress may be an intuitive way to promote treatment outcome during exposure-based cognitive-behavioral therapy (CBT). This study evaluated overpredictions of distress during exposure tasks in 33 youth with obsessive-compulsive disorder (OCD; ages 8-17) participating in CBT. Youth with more variable prediction accuracy and a higher proportion of overpredictions experienced more rapid symptom reduction, b = -0.29, p = .002. Underpredictions were less common toward the end of therapy as youth experienced less severe OCD, b = 0.12, p= .001. Findings suggest that although youth often accurately predict the intensity of exposure, overpredictions are common as well. The frequency of these overpredictions promoted treatment outcome, supporting expectancy violations as one indicator of inhibitory learning during exposure therapy.

Cognitive control and daily affect regulation in major depression and borderline personality disorder: protocol for an experimental ambulatory assessment study in Berlin, Germany

INTRODUCTION

Affective disturbances and difficulty in affect regulation are core features of major depressive disorder (MDD) as well as borderline personality disorder (BPD). Whereas depressed individuals are characterised by affective inertia, individuals with BPD are characterised by affective instability. Both groups have been found to use more maladaptive affect regulation strategies than healthy controls. Surprisingly, however, there have been hardly any studies directly comparing these two disorders to disentangle shared and disorder-specific deficits in affective dynamics and affect regulation.Furthermore, theoretical models link deficits in affect regulation to deficits in cognitive control functions. Given that individuals with MDD or BPD are both characterised by impairments in cognitive control, the present study will further examine the link between individual differences in cognitive control and disturbances in affect dynamics and regulation in the daily life of individuals with MDD or BPD.

METHODS AND ANALYSES

We will use a smartphone application to assess negative and positive affect as well as affect regulation strategies at eight times a day for 7 days. We will further employ four computerised tasks to assess two cognitive control functions, namely interference control and discarding irrelevant information from working memory. Our hypotheses will be tested using a multimethod approach. Power analyses determined a sample size of 159 (53 MDD, 53 BPD, 53 controls) to detect medium effect sizes.

ETHICS AND DISSEMINATION

Ethics approval has been obtained from the Freie Universität Berlin. Data collection started in January 2017 and will last until the end of 2018. Results will be disseminated to relevant psychotherapeutic and patient communities in peer-reviewed journals, and at scientific conferences.

Affective Forecasting Bias: Liability or Protective Factor?

We examined whether affective forecasting biases prospectively predict depression and anxiety symptoms in the context of life stress. Participants (n = 72) completed– baseline measures of depression, anxiety, and mood predictions, followed by one week of ecological momentary assessments of mood. Three months later, they completed measures of depression, anxiety, and life stress. Neither positive nor negative mood prediction biases at baseline were associated with follow-up anxiety scores. Positive mood prediction biases were not associated with follow-up depression scores. However, the interaction between negative mood prediction bias and life stress predicted follow-up depression scores. Under conditions of greater life stress, stronger negative mood prediction biases predicted lower follow-up depression scores. Under conditions of positive life change, stronger negative mood prediction biases predicted higher follow-up depression scores. Negative mood prediction bias might serve as a protective or liability factor, depending on levels of stress. Clinical implications and future directions are discussed.