An experience sampling investigation of emotion and worry in people with generalized anxiety disorder

Daily life affective dynamics as transdiagnostic predictors of mental health symptoms: An ecological momentary assessment study

BACKGROUND

Affective dynamics have been identified as a correlate of a broad span of mental health issues, making them key candidate transdiagnostic factors. However, there remains a lack of knowledge about which aspects of affective dynamics - especially as they manifest in the course of daily life - relate to a general risk for mental health issues versus specific symptoms.

METHODS

We leverage an ecological momentary assessment (EMA) study design with four measures per day over a two-week period to explore how negative affect levels, inertia, lability, and reactivity to provocation and stress in the course of daily life relate to mental health symptoms in young adults (n = 256) in the domains of anxiety, depression, psychosis-like symptoms, behaviour problems, suicidality, and substance use.

RESULTS

Dynamic structural equation modelling (DSEM) suggested that negative affect levels in daily life were associated with depression, anxiety, indirect and proactive aggression, psychosis, anxiety, and self-injury; negative affective lability was associated with depression, physical aggression, reactive aggression, suicidal ideation, and ADHD symptoms; negative affective inertia was associated with depression, anxiety, physical aggression, and cannabis use; and emotional reactivity to provocation was related to physical aggression.

LIMITATIONS

The cross-sectional design, the limited span of mental health issues included, and the convenience nature and small size of the sample are limitations.

CONCLUSIONS

Findings suggest that a subset of mental health symptoms have shared negative affective dynamics patterns. Longitudinal research is needed to rigorously examine the directionality of the effects underlying the association between affective dynamics and mental health issues.

The Experience Sampling Method: A New Way of Assessing Variability of the Emotional Dimensions of Religiosity and Spirituality in a Dutch Psychiatric Population

Religiosity and spirituality (R/S) are often regarded as being relatively stable over time. The present exploratory experience sampling method (ESM) study aims to assess the variability of three R/S parameters concerning affective representations of God and spiritual experiences in a psychiatric population. Depressed in- and outpatients self-identifying as being spiritual or religious participated, from two Dutch mental health care institutions. The twenty-eight participants rated momentary affective R/S-variables up to 10 times per day over a 6-day period when prompted by a mobile application. All three examined R/S parameters varied significantly within the day. ESM examination of R/S showed good compliance and little reactivity. This indicates that ESM offers a feasible, usable, and valid way to explore R/S in a psychiatric population.

Anxiety as a mediator in the relationship between the socioeconomic impact of COVID-19 and quality of life: a cross-sectional study in Vietnam

Previous studies have investigated the effects of the pandemic on quality of life; both economical and psychosocial effects were explored. Some studies also mentioned mediating factors as mechanisms in this relationship; however, the mediating role of anxiety has not been examined. The present study examined the mediating effects of anxiety on the relationship between socioeconomic impact of COVID-19 and quality of life. An online survey of 280 Vietnamese residents was conducted in the context of the pandemic outbreak. Anxiety was found to be a completely mediating variable in the association between the socioeconomic impact of the pandemic and quality of life during the lockdown period. This finding contributes to a better understanding of how the pandemic affects people's quality of life and serves as the foundation for lessening the negative effects of the epidemic on people's lives.

The transdiagnostic use of worry and rumination to avoid negative emotional contrasts following negative events: A momentary assessment study

The contrast avoidance model (CAM) suggests that individuals with generalized anxiety disorder (GAD) are sensitive to a sharp increase in negative and/or decrease in positive affect. They thus worry to increase negative emotion to avoid negative emotional contrasts (NECs). However, no prior naturalistic study has examined reactivity to negative events, or ongoing sensitivity to NECs, or the application of CAM to rumination. We used ecological momentary assessment to examine effects of worry and rumination on negative and positive emotion before and after negative events and intentional use of repetitive thinking to avoid NECs. Individuals with major depressive disorder (MDD) and/or GAD (N = 36) or without psychopathology (N = 27) received 8 prompts/day for 8 days and rated items on negative events, emotions, and repetitive thoughts. Regardless of group, higher worry/rumination before negative events was associated with less increased anxiety and sadness, and less decreased happiness from before to after the events. Participants with MDD/GAD (vs. controls) reported higher ratings on focusing on the negative to avoid NECs and greater vulnerability to NECs when feeling positive. Results support the transdiagnostic ecological validity for CAM extending to rumination and intentional engagement in repetitive thinking to avoid NECs among individuals with MDD/GAD.

Incremental validity of the contrast avoidance model: A comparison with intolerance of uncertainty and negative problem orientation

BACKGROUND

This study examined the incremental validity of the Contrast Avoidance Model (CAM) in predicting generalized anxiety disorder (GAD) symptoms when compared against well-established constructs in the GAD literature: intolerance of uncertainty (IU) and negative problem orientation (NPO).

METHOD

In this study, 185 students (108 of whom endorsed clinical levels of GAD symptoms) completed questionnaires to assess for all constructs. GAD symptoms were regressed on measures of contrast avoidance (CA; Contrast Avoidance-General Emotion and Contrast Avoidance-Worry Questionnaires; Llera & Newman, 2017) tendencies in addition to measures of IU and NPO in separate analyses. Commonality analyses explored the unique versus overlapping contributions of each factor in explaining GAD symptoms.

RESULTS

In all models, CA was a significant predictor after controlling for demographic variables (age, gender, race, and ethnicity) and both IU and NPO. This was also true when excluding CA items referencing worry. All variables contributed unique explanatory power in the prediction of GAD.

CONCLUSION

Results provide evidence of the incremental validity of the CAM as a model of GAD.

Tracking perceived stress, anxiety, and depression in daily life: a double-downward spiral process

Introduction

Previous studies using retrospective questionnaires have suggested a complex relationship between perceived stress and related negative emotions and emphasized their importance in mental health. However, how daily perceived stress, anxiety, and depression interact dynamically in a natural context remains largely unexplored.

Methods

This study conducted a longitudinal survey that applied experience sampling methodology to data from 141 Chinese college students (58% women, mean age = 20.1 ± 1.63 years).

Results

The hierarchical linear models confirmed that daily perceived stress and negative emotions (i.e., perceived depression and anxiety) could reciprocally reinforce one another with the characteristic dynamics of a cognitive-emotional downward spiral. Additionally, anxiety and depression could further circularly aggravate each other imminently. These two intertwined downward-spiral processes constitute a double-downward-spiral model.

Discussion

The findings contribute to a better understanding of the interactive mechanisms underlying perceived stress and its related negative emotions in everyday life and highlight the significance of early emotion regulation and stress relief in healthy people.

Intolerance of uncertainty heightens negative emotional states and dampens positive emotional states

Individuals high in self-reported Intolerance of Uncertainty (IU) tend to view uncertainty as unbearable and stressful. Notably, IU is transdiagnostic, and high levels of IU are observed across many different emotional disorders (e.g., anxiety, depression). Research has primarily focused on how IU evokes and modulates emotional states such as fear and anxiety. However, recent research suggests that IU may have relevance for a broader range of emotional states. Here, an online survey was conducted to examine whether IU evokes and modulates a range of negative (e.g., fear/anxiety, sadness/upset, anger/frustration, disgust) and positive (e.g., happiness/joy, excitement/enthusiasm, surprise/interest) emotional states. Findings within a community sample (n = 231) revealed that individuals with higher levels of IU report: (1) that uncertainty in general and uncertainty under ambiguity are more likely to evoke negative emotional states and less likely to evoke positive emotional states, (2) that uncertainty under risk is less likely to evoke positive emotional states, and (3) that uncertainty heightens existing negative emotional states and dampens existing positive emotional states. Importantly, these IU-related findings remained when controlling for current experiences of general distress, anxious arousal, and anhedonic depression. Taken together, these findings suggest that IU is involved in evoking and modulating a wide array of emotional phenomena, which likely has relevance for transdiagnostic models and treatment plans for emotional disorders.

The naturalistic reinforcement of worry from positive and negative emotional contrasts: Results from a momentary assessment study within social interactions

BACKGROUND

The Contrast Avoidance Model (Newman & Llera, 2011) proposes that worry is reinforced by avoiding a negative contrast and increasing the likelihood of a positive contrast.

OBJECTIVE

To determine if reinforcement of worry occurs naturalistically via contrasts in both negative and positive emotion.

METHOD

Using event-contingent momentary assessment we assessed social interactions, pre-interaction state worry and pre-post interaction positive and negative emotion. Participants with generalized anxiety disorder (GAD; N = 83) completed an online questionnaire after social interactions lasting at least 1 min for 8 days. Three-level multilevel models were conducted.

RESULTS

Higher worry was concurrently associated with increased negative emotion and decreased positive emotion. Regardless of pre-interaction worry level, negative emotion decreased, and positive emotion increased from before to after interactions, suggesting that most interactions were benign or positive. At lower levels of pre-interaction worry, participants experienced increased negative emotion and decreased positive emotion from before to after interactions. At higher levels of pre-interaction worry, participants experienced decreased negative emotion and increased positive emotion from before to after interactions.

CONCLUSION

Among persons with GAD, worrying before social interactions may be both negatively and positively reinforced; furthermore, not worrying before social interactions may be both negatively and positively punished.

Relevant Characteristics Analysis Using Natural Language Processing and Machine Learning Based on Phenotypes and T-Cell Subsets in Systemic Lupus Erythematosus Patients With Anxiety

Anxiety is frequently observed in patients with systemic lupus erythematosus (SLE) and the immune system could act as a trigger for anxiety. To recognize abnormal T-cell and B-cell subsets for SLE patients with anxiety, in this study, patient disease phenotypes data from electronic lupus symptom records were extracted by using natural language processing. The Hospital Anxiety and Depression Scale (HADS) was used to distinguish patients, and 107 patients were selected to meet research requirements. Then, peripheral blood was collected from two patient groups for multicolor flow cytometry experiments. The characteristics of 75 T-cell and 15 B-cell subsets were investigated between SLE patients with- (n = 23) and without-anxiety (n = 84) groups by four machine learning methods. The findings showed 13 T-cell subsets were significantly different between the two groups. Furthermore, BMI, fatigue, depression, unstable emotions, CD27⁺CD28⁺ Th/Treg, CD27^-CD28^- Th/Treg, CD45RA^-CD27^- Th, and CD45RA⁺HLADR⁺ Th cells may be important characteristics between SLE patients with- and without-anxiety groups. The findings not only point out the difference of T-cell subsets in SLE patients with or without anxiety, but also imply that T cells might play the important role in patients with anxiety disorder.