Negative emotions and associated avoidance behaviors are core symptoms of anxiety. Current treatments aim to resolve dysfunctional coupling between them. However, precise interactions between emotions and avoidance in patients\' everyday lives and changes from pre- to post-treatment remain unclear. We analyzed data from a randomized controlled trial where patients with anxiety disorders underwent 16 sessions of cognitive behavioral therapy (CBT). Fifty-six patients (68 % female, age: M = 33.31, SD = 12.45) completed ecological momentary assessments five times a day on 14 consecutive days before and after treatment, rating negative emotions and avoidance behaviors experienced within the past 30 min. We computed multilevel vector autoregressive models to investigate contemporaneous and time-lagged associations between anxiety, depression, anger, and avoidance behaviors within patients, separately at pre- and post-treatment. We examined pre-post changes in network density and avoidance centrality, and related these metrics to changes in symptom severity. Network density significantly decreased from pre- to post-treatment, indicating that after therapy, mutual interactions between negative emotions and avoidance were attenuated. Specifically, contemporaneous associations between anxiety and avoidance observed before CBT were no longer significant at post-treatment. Effects of negative emotions on avoidance assessed at a later time point (avoidance instrength) decreased, but not significantly. Reduction in avoidance instrength positively correlated with reduction in depressive symptom severity, meaning that as patients improved, they were less likely to avoid situations after experiencing negative emotions. Our results elucidate mechanisms of successful CBT observed in patients\' daily lives and may help improve and personalize CBT to increase its effectiveness.

UNASSIGNED: Limited research considers the quantity and potency of cannabis products along with social context on the subjective effects of real-world cannabis use.
UNASSIGNED: This study examined the subjective effects of acute use as a function of Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) doses and social context during cannabis use episodes.
UNASSIGNED: Ninety-six participants (43.75% male, Mage = 35.73) reporting weekly cannabis use completed a baseline self-report battery assessing cannabis use. Then, THC and CBD potency and quantity of the cannabis product, social context, and subjective experience were assessed through self-initiated surveys after cannabis use episodes during a 14-day ecological momentary assessment (EMA).
UNASSIGNED: Greater feeling high and liking were significantly associated with a higher THC dose than one\'s average (b = 0.03, p < 0.001; b = 0.02, p < 0.001) and social use (b = 0.38, p < 0.001; b = 0.20, p = 0.01). A higher CBD dose than one\'s average (b = 0.01, p = 0.04) was significantly associated with greater liking. A significant interaction effect of THC dose and social context (b = 0.01, p = 0.02) was observed such that solitary use had a negative association between THC dose and disliking (b = -0.01, p = 0.04), and social use had a null association (b = 0.003, p = 0.25). Individuals with greater cannabis problems reported lower liking (b = -0.18, p = 0.03) and higher disliking (b = 0.08, p = 0.02), but not feeling high, on average, across the EMA protocol.
UNASSIGNED: Social context plays an important role in the subjective experience of cannabis use. Interventions targeting cannabis problems could highlight the evidence that individuals with greater cannabis problems might experience less liking but more disliking in general across use episodes to effectively challenge expectancies/motives of use.

UNASSIGNED: Researchers have identified links between anxious and avoidant attachments and difficulties with self-compassion, giving others compassion, and receiving compassion. However, while compassion requires both awareness of opportunities for compassion and compassionate action, little is known about attachment-related differences in reporting compassionate opportunities. Further, most research relies on retrospective-reports that may not accurately assess compassionate behaviors in everyday life.
UNASSIGNED: Consequently, we collected 2,757 experience sampling survey responses from 125 participants (95 women, 27 men, 3 non-binary, M age = 18.74, SD age = 1.66) to investigate whether attachment anxiety, avoidance, or their interaction were associated with differences in propensity for reporting compassionate opportunities, actions, and emotional responses to opportunities in everyday life across self-compassion, giving compassion, and receiving compassion.
UNASSIGNED: Anxiety was associated with greater likelihood of reporting all types of compassionate opportunities and less positive responses to opportunities to receive compassion. Avoidance was associated with less likelihood of reporting opportunities to give and receive compassion and less positive responses to opportunities to give compassion. Those high in anxiety but simultaneously low in avoidance reported fewer self-compassionate actions, but we identified no further differences in compassionate action.
UNASSIGNED: This study highlights the potential role of awareness of compassionate opportunities in attachment-related differences in compassion.

Alterations in dynamic affective processes are associated with dysregulated affect and depression. Although depression is often associated with heightened inertia (i.e., greater moment-to-moment correlation) and variability (i.e., larger departures from typical levels) of affect in adults, less is known about whether altered affect dynamics are present in youth at risk for depression. This study investigated the association of clinical depression and depression risk with the inertia and variability of positive and negative affect in a sample of youth at varying risk for depression. Our sample included 147 adolescents aged 14 to 17, categorized into three groups: never-depressed lower-risk, never-depressed higher-risk (based on maternal history of depression), and currently depressed adolescents. Adolescents completed ecological momentary assessments of positive and negative affect up to seven times per day for a week. Multilevel models and ANOVAs were used to examine associations of affective inertia and variability with adolescent depression and risk based on maternal history, controlling for average affect. Depressed adolescents showed more inert and diminished positive affect, and more variable and elevated negative affect compared to lower- and higher-risk youth, though associations attenuated after controlling for average affect. No differences were identified between never-depressed higher-risk and lower-risk youth. Additional longitudinal studies are needed to evaluate whether altered affect dynamics in daily life precede depression onset to understand their utility for developing preventive interventions.

This study investigated whether stress and positive anticipations about tomorrow are associated with emotional experiences the following day, mediated by the preceding night\'s sleep. Data were from 141 full-time nurses, utilizing a 14-day ecological momentary assessment combined with actigraphy sleep monitoring. Each evening, participants rated the anticipated pleasantness or stressfulness of the following day. Each morning, participants reported on their previous night\'s sleep. Additionally, participants reported their momentary positive affect (PA) and negative affect (NA) three times per day, with daily averages computed. Multilevel mediation models, adjusted for sociodemographics, work shift, workday, and previous day\'s affect, revealed that days following more stress anticipations were associated with reduced PA and increased NA. Conversely, days following more pleasantness anticipations were associated with increased PA and decreased NA. These within-person associations were mediated by self-reported time-in-bed, sufficiency, and quality, such that less stressful and more pleasant anticipations were associated with better sleep, and better sleep was subsequently associated with increased PA and decreased NA. No mediation was found by the actigraphy sleep parameters. Findings suggest that emotional states may covary not only with present stimuli but also with anticipation of future events and subjective sleep recovery in the context of those anticipations.

BACKGROUND: Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideation that indicate marked suicide risk are critically needed to guide interventions and improve care during care transition periods. Some studies indicate that machine learning can be applied to momentary data to improve classification of SI. This study examined whether the classification accuracy of these models varies as a function of type of training data or characteristics of ideation.
METHODS: A total of 257 psychiatric inpatients completed a 3-week battery of ecological momentary assessment and measures of suicide risk factors. The accuracy of machine learning models in classifying the presence, duration, or intensity of ideation was compared across models trained on baseline and/or momentary suicide risk data. Relative feature importance metrics were examined to identify the risk factors that were most important for outcome classification.
RESULTS: Models including both baseline and momentary features outperformed models with only one feature type, providing important information in both correctly classifying and differentiating individual characteristics of SI. Models classifying SI presence, duration, and intensity performed similarly.
CONCLUSIONS: Results of this study may not generalize beyond a high-risk, psychiatric inpatient sample, and additional work is needed to examine temporal ordering of the relationships identified.
CONCLUSIONS: Our results support using machine learning approaches for accurate identification of SI characteristics and underscore the importance of understanding the factors that differentiate and drive different characteristics of SI. Expansion of this work can support use of these models to guide intervention strategies.

Purpose in life is an aspect of well-being associated with less subjective stress. The present research sought to expand this literature by testing the association between both dispositional and momentary purpose with stress in daily life using a micro-longitudinal study design. Participants (N = 303) reported their dispositional purpose at baseline and reported their momentary purpose and stress three times a day for 8 days. Between-person, dispositional purpose was associated with less momentary stress across the 8 days tested with linear regression (β = -0.29, 95% CI = -0.39, -18, p < 0.001); it was unrelated to variability in stress (β = 0.05, 95% CI = -0.05, 0.14, p = 0.310). In contrast, the within-person analysis tested with multilevel modelling indicated that in moments when participants felt more purpose-driven than their average, they felt more stressed (b = 0.09, 95% CI = 0.06, 0.12, SE = 0.01, p < 0.001). This association was slightly stronger among participants with relatively lower dispositional purpose (binteraction = -0.04, SE = 0.02, 95% CI = -0.08, -0.01, p = 0.032). This study replicated the negative association between dispositional purpose and subjective stress when stress was measured at moments in daily life. It also found that feeling more purpose-driven than usual in the moment is stressful, a counterintuitive finding that, if replicated, suggests that striving for purpose can be stressful in the moment, even if feeling more purposeful in general is associated with lower stress.

BACKGROUND: Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants\' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no \"gold standard\" for EMA study design to promote compliance.
OBJECTIVE: The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs.
METHODS: Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined.
RESULTS: Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance.
CONCLUSIONS: Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies.
BACKGROUND: ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228.

Social neuroscientists often use magnetic resonance imaging (MRI) to understand the relationship between social experiences and their neural substrates. Although MRI is a powerful method, it has several limitations in the study of social experiences, first and foremost its low ecological validity. To address this limitation, researchers have conducted multimethod studies combining MRI with Ecological Momentary Assessment (EMA). However, there are no existing recommendations for best practices for conducting and reporting such studies. To address the absence of standards in the field, we conducted a systematic review of papers that combined the methods. A systematic search of peer-reviewed papers resulted in a pool of 11,558 articles. Inclusion criteria were studies in which participants completed (a) Structural or functional MRI and (b) an EMA protocol that included self-report. Seventy-one papers met inclusion criteria. The following review compares these studies based on several key parameters (e.g., sample size) with the aim of determining feasibility and current standards for design and reporting in the field. The review concludes with recommendations for future research. A special focus is given to the ways in which the two methods were combined analytically and suggestions for novel computational methods that could further advance the field of social neuroscience.

OBJECTIVE: Affect regulation theories of eating disorders (ED) posit that negative affect increases in the hours before and decreases following disordered eating behaviors (DEBs) in daily life, yet findings from studies assessing affective changes post-DEBs are mixed. This inconsistency may be due to the previously unassessed role of other transdiagnostic processes in these associations, such as interoception (the ability to sense and integrate information from bodily sensations). To address this research gap, the present study examined whether different interoception dimensions moderated negative affect trajectories surrounding DEBs in the natural environment.
METHODS: 150 women with ED pathology (Mage = 21.0, SD = 4.1) completed 4 surveys targeting affect and DEBs each day for a 10-day ecological momentary assessment period. Polynomial multilevel models examined negative affect trajectories pre- and post-DEBs (dietary restriction, overeating, loss of control eating), and whether these trajectories varied based on daily interoception dimensions (not distracting, self-regulation, body listening and trust).
RESULTS: Negative affect increased prior to loss of control eating-but not dietary restriction or overeating-and decreased following all DEBs. Further, the magnitude of the decrease in negative affect that emerged post-dietary restriction decreased in strength as daily \"not distracting\" interoception increased. The other interoception dimensions did not moderate negative affect trajectories surrounding DEBs.
CONCLUSIONS: Allowing oneself to experience (vs. distract from) uncomfortable bodily sensations may weaken affect dysregulation processes that follow dietary restriction in daily life and are theorized to maintain DEBs. These results provide insight that may strengthen EDs theories, research, and inform interoception-focused interventions.