Considering the 'With Whom': Differences Between Event- and Signal-Contingent ESM Data of Person-Specific Social Interactions.

Experience sampling studies often aim to capture social interactions. A central methodological question in such studies is whether to use event- or signal-contingent sampling. The little existing research on this issue has not taken into account that social interactions occur with unique interaction partners (e.g., Anna or Tom). We analyze one week of social interaction data of 286 students from the University of Pittsburgh (60.8% male, mean age 19.2 years), taking into account the unique interaction partners of each student. Specifically, we investigate the differences between event- and signal contingent sampling in (1) the total number of unique interaction partners captured, as well as (2) the kinds of relationships, and (3) the quality of social interactions with these captured interaction partners. Apart from a larger quantity of interactions and unique interaction partners in the event-contingent sampling design, our analyses indicate subtle differences between the two designs when aiming to assess social interactions with more distant interaction partners, such as coworkers or strangers. Most importantly, in our analyses, specific interaction partners and social roles explained a considerable amount of variance in the quality of social interactions (up to 20.5%), suggesting that future research would benefit greatly from considering "with whom" individuals interact.

Individual outcomes after tailored versus generic self-management strategies for persistent fatigue in youth with a fatigue syndrome or rheumatic condition: A multiple single-case study.

OBJECTIVE: To examine individual outcomes after tailored lifestyle (PROfeel) or generic dietary advice as self-management intervention for persistent fatigue in adolescents and young adults with a chronic condition, to compare participants who did and did not benefit and to explore changes to factors in the biopsychosocial model of fatigue after PROfeel. METHOD: A multiple single-case AB-phase design was embedded in a randomized crossover trial (N = 45). Intensive longitudinal data (ILD) on outcomes 'fatigue severity', 'self-efficacy' and 'quality of life' (QoL) were collected through weekly smartphone measurement for 20 weeks. ILD on biopsychosocial factors were collected through experience sampling methodology for 28 days pre-post first intervention. Baseline characteristics were compared with t-tests and chi-square tests. Permutation distancing tests were used to assess change over time in all ILD. RESULTS: Regarding weekly measurements, nineteen participants (42.22%) showed small to large positive outcomes (drange = .05 to 2.59), mostly after PROfeel. Eleven participants (24.44%) showed small to moderate negative outcomes (drange = -.02 to -2.46), mostly after dietary advice. Fatigue severity improved most, followed by self-efficacy. Participants who benefitted showed higher QoL levels and lower fatigue and pain levels compared with others at baseline (all p < .02). When positive outcomes were observed after PROfeel, typically ≥1 biopsychosocial factor had been targeted successfully. CONCLUSION: Self-management advice has more potential when tailored to individual characteristics, including the biopsychosocial model of fatigue. PROfeel appears particularly useful as fatigue intervention for individuals with relatively less severe symptoms.

Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder.

BACKGROUND: A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding of the occurrence and maintenance of GAD. We aim to obtain an exploratory conceptualization of temporal GAD network and identify the central symptom. METHODS: A sample of participants (n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in an online daily diary study in which they reported their GAD symptoms based on DSM-5 diagnostic criteria (eight symptoms in total) for 50 consecutive days. We used a multilevel VAR model to obtain the temporal network. RESULTS: In temporal network, a lot of lagged relationships exist among GAD symptoms and these lagged relationships are all positive. All symptoms have autocorrelations and there are also some interesting feedback loops in temporal network. Sleep disturbance has the highest Out-strength centrality. CONCLUSIONS: This study indicates how GAD symptoms interact with each other and strengthen themselves over time, and particularly highlights the relationships between sleep disturbance and other GAD symptoms. Sleep disturbance may play an important role in the dynamic development and maintenance process of GAD. The present study may develop the knowledge of the theoretical model, diagnosis, prevention and intervention of GAD from a temporal symptoms network perspective.

Associations between disturbed sleep and attenuated psychotic experiences in people at clinical high risk for psychosis.

BACKGROUND: Pre-diagnostic stages of psychotic illnesses, including 'clinical high risk' (CHR), are marked by sleep disturbances. These sleep disturbances appear to represent a key aspect in the etiology and maintenance of psychotic disorders. We aimed to examine the relationship between self-reported sleep dysfunction and attenuated psychotic symptoms (APS) on a day-to-day basis. METHODS: Seventy-six CHR young people completed the Experience Sampling Methodology (ESM) component of the European Union Gene-Environment Interaction Study, collected through PsyMate® devices, prompting sleep and symptom questionnaires 10 times daily for 6 days. Bayesian multilevel mixed linear regression analyses were performed on time-variant ESM data using the brms package in R. We investigated the day-to-day associations between sleep and psychotic experiences bidirectionally on an item level. Sleep items included sleep onset latency, fragmentation, and quality. Psychosis items assessed a range of perceptual, cognitive, and bizarre thought content common in the CHR population. RESULTS: Two of the seven psychosis variables were unidirectionally predicted by previous night's number of awakenings: every unit increase in number of nightly awakenings predicted a 0.27 and 0.28 unit increase in feeling unreal or paranoid the next day, respectively. No other sleep variables credibly predicted next-day psychotic symptoms or vice-versa. CONCLUSION: In this study, the relationship between sleep disturbance and APS appears specific to the item in question. However, some APS, including perceptual disturbances, had low levels of endorsement amongst this sample. Nonetheless, these results provide evidence for a unidirectional relationship between sleep and some APS in this population.

Daily-level associations between posttraumatic stress disorder symptoms and reactions to retrieving positive autobiographical memories.

Trauma survivors with posttraumatic stress disorder (PTSD) report difficulties accessing and describing positive memories. To understand these patterns, we examined daily-level relations of PTSD symptoms with affective, cognitive (dwelling/rumination; pushing memory out of one's mind; suppression; avoidance; distraction; thinking about something else; remembering negative or positive memories/events; negative or positive thoughts; accepting or disapproving memory; reinterpreting memory), and behavioral (using alcohol/drugs; smoking cigarettes; cravings for or seeking out cigarettes/alcohol/drugs; craving, seeking out, or consuming large amounts of food; dissociation; engaging in risky behaviors; sharing memories; interference with ongoing task; arousal) reactions to retrieving positive memories. Eighty-eight trauma survivors (Mage= 39.89 years; 59.1% female) completed 7 daily measures of PTSD and reactions to retrieving positive memories. Days with more PTSD severity were associated with higher odds of same-day suppression, avoidance, distraction, thinking about something else, smoking cigarettes, craving substances, craving, seeking out, or consuming large amounts of food, dissociation, remembering negative memories/events/thoughts, engaging in risky behaviors, interference with ongoing tasks, and arousal (ORs=1.10-1.22); and greater negative affect (ß = 0.27). Supplemental lagged analyses indicated some associations between previous-day reactions to positive memory retrieval and next-day PTSD severity and vice versa. Trauma survivors with PTSD symptoms report negative and avoidance-oriented reactions to retrieving positive memories.

The Role of Childhood Trauma in Affective Stress Recovery in Early Psychosis: An Experience Sampling Study.

BACKGROUND AND HYPOTHESES: Affective recovery, operationalized as the time needed for affect to return to baseline levels after daily stressors, may be a putative momentary representation of resilience. This study aimed to investigate affective recovery in positive and negative affect across subclinical and clinical stages of psychosis and whether this is associated with exposure to childhood trauma (sexual, physical, and emotional abuse). STUDY DESIGN: We used survival analysis to predict the time-to-recovery from a daily event-related stressor in a pooled sample of 3 previously conducted experience sampling studies including 113 individuals with first-episode psychosis, 162 at-risk individuals, and 94 controls. STUDY RESULTS: Negative affective recovery (ie, return to baseline following an increase in negative affect) was longer in individuals with first-episode psychosis compared with controls (hazard ratio [HR] = 1.71, 95% confidence interval [CI; 1.03, 2.61], P = .04) and in at-risk individuals exposed to high vs low levels of emotional abuse (HR = 1.31, 95% CI [1.06, 1.62], P = .01). Positive affective recovery (ie, return to baseline following a decrease in positive affect) did not differ between groups and was not associated with childhood trauma. CONCLUSIONS: Our results give first indications that negative affective recovery may be a putative momentary representation of resilience across stages of psychosis and may be amplified in at-risk individuals with prior experiences of emotional abuse. Understanding how affective recovery contributes to the development of psychosis may help identify new targets for prevention and intervention to buffer risk or foster resilience in daily life.

The SAFE Model: State Authenticity as a Function of Three Types of Fit.

The SAFE model asserts that state authenticity stems from three types of fit to the environment. Across two studies of university students, we validated instruments measuring self-concept, goal, and social fit as unique predictors of state authenticity. In Study 1 (N = 969), relationships between fit and state authenticity were robust to controlling for conceptually similar and distinct variables. Using experience sampling methodology, Study 2 (N = 269) provided evidence that fit and authenticity co-vary at the state (i.e., within-person) level, controlling for between-person effects. Momentary variation in each fit type predicted greater state authenticity, willingness to return to the situation, and state attachment to one's university. Each fit type was also predicted by distinct contextual features (e.g., location, activity, company). Supporting a theorized link to cognitive fluency, situations eliciting self-concept fit elicited higher working memory capacity and lower emotional burnout. We discuss the implications of fit in educational contexts.

The temporal association between social isolation, distress, and psychotic experiences in individuals at clinical high-risk for psychosis.

BACKGROUND: Psychotic experiences (PEs) and social isolation (SI) seem related during early stages of psychosis, but the temporal dynamics between the two are not clear. Literature so far suggests a self-perpetuating cycle wherein momentary increases in PEs lead to social withdrawal, which, subsequently, triggers PEs at a next point in time, especially when SI is associated with increased distress. The current study investigated the daily-life temporal associations between SI and PEs, as well as the role of SI-related and general affective distress in individuals at clinical high risk (CHR) for psychosis. METHODS: We used experience sampling methodology in a sample of 137 CHR participants. We analyzed the association between SI, PEs, and distress using time-lagged linear mixed-effects models. RESULTS: SI did not predict next-moment fluctuations in PEs, or vice versa. Furthermore, although SI-related distress was not predictive of subsequent PEs, general affective distress during SI was a robust predictor of next-moment PEs. CONCLUSIONS: Our results suggest that SI and PEs are not directly related on a moment-to-moment level, but a negative emotional state when alone does contribute to the risk of PEs. These findings highlight the role of affective wellbeing during early-stage psychosis development.

SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment.

Chronic pain is one of the most significant health issues in the United States, affecting more than 20% of the population. Despite its contribution to the increasing health crisis, reliable predictors of disease development, progression, or treatment outcomes are lacking. Self-report remains the most effective way to assess pain, but measures are often acquired in sparse settings over short time windows, limiting their predictive ability. In this paper, we present a new mobile health platform called SOMAScience. SOMAScience serves as an easy-to-use research tool for scientists and clinicians, enabling the collection of large-scale pain datasets in single- and multicenter studies by facilitating the acquisition, transfer, and analysis of longitudinal, multidimensional, self-report pain data. Data acquisition for SOMAScience is done through a user-friendly smartphone app, SOMA, that uses experience sampling methodology to capture momentary and daily assessments of pain intensity, unpleasantness, interference, location, mood, activities, and predictions about the next day that provide personal insights into daily pain dynamics. The visualization of data and its trends over time is meant to empower individual users' self-management of their pain. This paper outlines the scientific, clinical, technological, and user considerations involved in the development of SOMAScience and how it can be used in clinical studies or for pain self-management purposes. Our goal is for SOMAScience to provide a much-needed platform for individual users to gain insight into the multidimensional features of their pain while lowering the barrier for researchers and clinicians to obtain the type of pain data that will ultimately lead to improved prevention, diagnosis, and treatment of chronic pain.

Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis.

BACKGROUND: Ecological momentary assessment (EMA) involves completing multiple surveys over time in daily life, capturing in-the-moment experiences in real-world contexts. EMA use in psychosis studies has surged over several decades. To critically examine EMA use in psychosis research and assist future researchers in designing new EMA studies, this systematic review aimed to summarize the methodological approaches used for positive symptoms in psychosis populations and evaluate feasibility with a focus on completion rates. METHODS: A systematic review of PubMed, PsycINFO, MEDLINE, Web of Science, EBSCOhost, and Embase databases using search terms related to EMA and psychosis was conducted. Excluding duplicate samples, a meta-analysis was conducted of EMA survey completion rates and meta-regression to examine predictors of completion. RESULTS: Sixty-eight studies were included in the review. Characteristics and reporting of EMA methodologies were variable across studies. The meta-mean EMA survey completion computed from the 39 unique studies that reported a mean completion rate was 67.15% (95% CI = 62.3, 71.9), with an average of 86.25% of the sample meeting a one-third EMA completion criterion. No significant predictors of completion were found in the meta-regression. A variety of EMA items were used to measure psychotic experiences, of which few were validated. CONCLUSIONS: EMA methods have been widely applied in psychosis studies using a range of protocols. Completion rates are high, providing clear evidence of feasibility in psychosis populations. Recommendations for reporting in future studies are provided.

Using Experience Sampling Methodology to Capture Disclosure Opportunities for Autistic Adults.

Background: Despite a recent surge in literature contributing to our understanding of autistic individuals' disclosure experiences, the findings remain mixed. Research based on autistic people's perspective often indicates negative outcomes, while research that focuses on nonautistic perspectives is more positive. In addition, no disclosure study has used ecologically valid research methods, which help to reduce the risk of memory biases and are more representative of real-world experiences. The aim of this research was to capture outcomes from real-world disclosure opportunities as reported by a diverse range of autistic adults. Methods: Thirty-six autistic adults reported their disclosure opportunities through experience sampling methodology (58% female, 28% male, and 14% nonbinary), multiple times per day or week for 2 months. Importantly, we embedded coproduction from conception to dissemination, ensuring that the outputs are relevant and beneficial for the autistic community. Results: In total, participants recorded 231 disclosure opportunities (M = 6.42, SD = 4.83). Two-thirds of opportunities (n = 153) were categorized as disclosure, where the participants decided to share they were autistic, and 33.8% (n = 78) were labeled nondisclosure, where the participants decided not to share that they were autistic. Qualitative thematic analysis of open responses resulted in five themes that illustrated the thought processes during disclosure opportunities, the reactions of others, and reflections following disclosure for autistic adults in our study. Conclusion: These findings show that disclosure decisions and outcomes are complex and are influenced by both internal and external factors. Both support for autistic adults navigating this process and knowledge for nonautistic individuals on the experiences of their autistic friends, family, and community members will help to alleviate negative experiences and improve the mental well-being of autistic adults who face these decisions daily.

Why is this an important issue?: Disclosure is choosing to tell someone that you are autistic. Nondisclosure is choosing not to tell someone you are autistic. This can be difficult for many people and can have a significant impact on their life. What was the purpose of this study?: We wanted to explore disclosure opportunities for autistic people. We wanted to know what these experiences looked like over 2 months and on a daily basis. What did the researchers do?: The research team asked autistic adults to complete a survey through a smartphone application every time they considered sharing that they were autistic over 2 months. The questions asked participants about their thoughts, feelings, and behaviors right after the experience. What were the results of the study?: Our participants shared 231 disclosure opportunities with us over 2 months. Some people shared no experiences, while others shared up to 19 experiences. On average, people shared six experiences. People told us how these opportunities went, and we found five common threads ("themes") across their experiences. First, when deciding whether to disclose or not, autistic people considered how safe they felt in their environment and with the people around them. Autistic people often thought about what they were hoping to gain by disclosing, and if there was nothing to gain, they decided against it. We learned that disclosure takes a lot of energy. We also learned that other people responded to disclosure in positive, neutral, and negative ways across all contexts. Finally, we found that our participants tried to learn from their experiences before the next time they thought about disclosure. What do these findings add to what was already known?: Our findings were similar to previous research that explored how complex autistic disclosure is. However, by gathering information in real time (instead of relying on recall), we learned that a decision to disclose is not only weighing up personal advantages and disadvantages, but also takes into consideration how safe the person feels in a particular environment and how much energy they feel they have at the time. We also learned that sometimes people do not disclose because they are worried about how someone might respond, but other times they simply feel there is no benefit to disclosure. What are the potential weaknesses in the study?: We understand that the experiences of our participants may not apply to all autistic people. Also, because participants had to use a computer or smartphone to be in the study, the findings may be different for individuals who were not able to participate. How will these findings help autistic adults now or in the future?: The findings help us to listen to autistic voices and learn about their experiences. We have used the results to make resource guides. This includes a guide for autistic people (including an easy English version) and a guide for nonautistic people. These resource guides can be found within the Supplementary Data, on our research website, or by getting in touch with the authorship team.Link to "a guide for autistic people" https://www.autismspectrum.org.au/uploads/documents/Research/Disclosure-opportunities-resource-guide-for-Autistic-people-Easy-English.pdf Link to "easy English version" https://www.autismspectrum.org.au/uploads/documents/Research/Disclosure-opportunities-resource-guide-for-Autistic-people_2022-12-12-005526_vgvt.pdf Link to "non-autistic people" https://www.autismspectrum.org.au/Supporting-Autistic-people-who-may-want-to-disclose.

Mapping Interpersonal Emotion Regulation in Everyday Life.

The growing literature on interpersonal emotion regulation has largely focused on the strategies people use to regulate. As such, researchers have little understanding of how often people regulate in the first place, what emotion regulation goals they have when they regulate, and how much effort they invest in regulation. To better characterize features of the regulation process, we conducted two studies using daily diary (N = 171) and experience sampling methods (N = 239), exploring interpersonal emotion regulation in the context of everyday social interactions. We found people regulated others' emotions nearly twice a day, regulated their own emotions through others around once a day, and regulated both their own and others' emotions in the same interaction roughly every other day. Furthermore, not only did people regulate others' emotions more often than regulating their own emotions through others, but they also put in more effort to do so. The goals of regulation were primarily to make themselves or others feel better, most often through increasing positive emotions, rather than decreasing negative emotions. Together, these findings provide a foundational picture of the interpersonal emotion regulation landscape, and lay the groundwork for future exploration into this emerging subfield of affective science. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-023-00223-z.

Emotion regulation in daily life in early psychosis: The role of contextual appraisals.

BACKGROUND: Little is known about whether and how contextual appraisals relate to emotion regulation (ER) strategy use across the ultra-high risk and first episode stages of psychosis. The present study extends previous research by investigating the extent to which different appraisal dimensions of the most negative and positive events of the day are associated with ER strategy use in individuals with ultra-high risk (UHR) and first-episode psychosis (FEP). METHOD: Sixty-eight UHR individuals and fifty-five FEP individuals filled out an experience sampling evening questionnaire for six consecutive days, in which their appraisal of intensity, importance and perceived control concerning the most negative or positive event of the day, and the ER strategies they deploy in response to these events were measured. RESULTS: Multilevel mixed effect models showed that intensity appraisal was most closely associated with ER strategy use, as opposed to importance and controllability appraisals. Higher intense negative events were associated with more rumination and social sharing, while less intense negative events were associated with more reappraisal. Higher intense positive events were associated with a greater number of deployed strategies and more efforts in using savoring, expression and social sharing. The UHR and FEP individuals did not significantly differ regarding effects of above-mentioned appraisal dimensions on ER. CONCLUSIONS: These results provide evidence supporting ER flexibility in early psychosis, and event intensity emerged as the dimension most strongly associated with ER. Future research should better account for other situational factors (such as social context) that might affect ER use in psychosis.

An Experience Sampling Analysis of the Impact of Video Monitoring Technology and In-Person Sitters on Nurse Burnout: The Moderating Effect of Nurse Commitment and Mediating Effect of Emotional Labor.

BACKGROUND: While it is established that video monitoring technology (compared with the use of in-person sitters) is a safe and cost-effective solution for hospitals, little is known about the impact of these approaches on nurses' stress and well-being. PURPOSE: To compare the use of video monitoring technology and in-person sitters (likely a resource reallocated from nurses) for monitoring patients on nurses' emotional labor and burnout. METHOD: An experience sampling method was conducted by surveying nurses twice a day for 3 weeks, resulting in 524 survey administrations provided by 74 nurses. The surveys included measures of daily video monitoring technology and in-person sitter use, emotional labor, emotional exhaustion, and nurse career commitment. FINDINGS: There were positive effects from video monitoring technology and negative effects of in-person sitters on emotional labor and emotional exhaustion, particularly for nurses lower in commitment. DISCUSSION: Hospital adoption of video monitoring technology has a positive impact on nurses compared with in-person sitter use.

Feedback About a Person's Social Context - Personal Networks and Daily Social Interactions.

The social context of a person, meaning their social relationships and daily social interactions, is an important factor for understanding their mental health. However, personalised feedback approaches to psychotherapy do not consider this factor sufficiently yet. Therefore, we developed an interactive feedback prototype focusing specifically on a person's social relationships as captured with personal social networks (PSN) and daily social interactions as captured with experience sampling methodology (ESM). We describe the development of the prototype as well as two evaluation studies: Semi-structured interviews with students (N = 23) and a focus group discussion with five psychotherapy patients. Participants from both studies considered the prototype useful. The students considered participation in our study, which included social context assessment via PSN and ESM as well as a feedback session, insightful. However, it remains unclear how much insight the feedback procedure generated for the students beyond the insights they already gained from the assessments. The focus group patients indicated that in a clinical context, (social context) feedback may be especially useful to generate insight for the clinician and facilitate collaboration between patient and clinician. Furthermore, it became clear that the current feedback prototype requires explanations by a researcher or trained clinician and cannot function as a stand-alone intervention. As such, we discuss our feedback prototype as a starting point for future research and clinical implementation.

Discrete emotions and global affect: Applying empirically driven approaches to experience sampling data to model state and trait affective structure and affect-alcohol use associations in a heavy drinking young-adult sample.

Affective functioning is central to most contemporary models of alcohol use. However, the affective structure at the within- and between-person levels is rarely investigated nor is the differential predictive value of specific affect dimensions assessed across state and trait formats. We examined a) the structure of state and trait affect using experience sampling methodology (ESM) and b) predictive associations between the empirically derived affect facets and alcohol use. Participants were 92 heavy drinking college students aged 18-25 who completed 8 momentary assessments of their affect and drinking a day for 28-days. We found evidence for a single positive affect factor at both the within- (i.e., state) and between-person (i.e., trait) levels. We found a hierarchical factor structure for negative affect, represented by a general, superordinate dimension as well as facet-level sadness, anxiety, and anger dimensions. Associations between affect and alcohol use differed across trait and state levels and across specific types of negative affect. Lagged state positive affect and sadness as well as trait positive affect and sadness were inversely associated with drinking. Lagged state anxiety and trait general negative affect were positively associated with drinking. Thus, our study demonstrates how associations between drinking and affect can be studied in relation to general (e.g., general negative affect) and more specific aspects of affective experiences (e.g., sadness versus anxiety) concurrently within the same study and across trait and state levels of assessment.

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.

Stress buffering after physical activity engagement: An experience sampling study.

OBJECTIVES: While encountering daily hassles is a normative experience, it poses a threat to individuals' daily affective well-being. However, physical activity engagement may help to reduce the current stress-related impact on affective well-being (i.e. stress buffering), which we investigate in this study. Furthermore, we examined the possible moderating role of people's global stress context (i.e. exposure to major life events and chronic stress) on this within-person stress-buffering effect. DESIGN: We approached these ideas using six-times-a-day experience sampling assessments over a period of 22 days. METHODS: Drawing on a broad national sample of 156 middle-aged adults from the EE-SOEP-IS study, we aimed to elucidate the naturally occurring within-person dynamics of current stress, physical activity engagement, and momentary affect within individuals' everyday lives. Major life events and chronic stress were measured as between-person variables. RESULTS: Multilevel analyses revealed significant within-person associations of current stress and physical activity engagement with momentary affect. Stress-related negative affect was lower when individuals engaged in physical activity, in accordance with the idea of a within-person stress-buffering effect of physical activity engagement. For individuals exposed to more severe major life events, the stress-buffering effect of physical activity engagement for negative affect was lower. Chronic stress did not moderate the within-person stress-buffering effect. CONCLUSIONS: Overall, results add to the existing literature that links physical activity to increased stress resilience and emphasizes the need for taking the global between-person stress context into account.

A within-person examination of the effect of mentors' daily ostracism on protégés' displaced aggression and in-role performance.

Purpose: Drawing on social information processing theory and social comparison theory, we test how mentors' daily ostracism triggers protégés' envy, thus leading to decreased in-role performance and increased displaced aggression. Design/methodology/approach: Using an experience sampling study across three work weeks, the study provided theoretical and empirical examinations of dynamic, within-person processes related to mentors' ostracism. Findings: Mentors' daily ostracism triggers protégés' envy, which mediates the effect of mentors' daily ostracism on protégés' displaced aggression and in-role performance. Our findings supported our hypothesis of the buffering effect of mentorship quality on the negative effect of mentors' ostracism on protégés' envy but did not show a significant moderating effect on the mediating effect of protégés' emotions between mentors' daily ostracism and protégés' behaviors. Research limitations/implications: Our study focused on the victims of mentors' ostracism on a daily basis. We constructed an overarching theoretical model to investigate how, why, and when mentors' daily ostracism leads to protégés' emotional and behavioral variability. Practical implications: The study provided how to cope with ostracism and envy. Originality/value: We discuss the theoretical implications of our findings for research on mentors' ostracism, protégés' emotions, and protégés' behaviors.

Computing Components of Everyday Stress Responses: Exploring Conceptual Challenges and New Opportunities.

Repeated assessments in everyday life enables collecting ecologically valid data on dynamic, within-persons processes. These methods have widespread utility and application and have been extensively used for the study of stressors and stress responses. Enhanced conceptual sophistication of characterizing intraindividual stress responses in everyday life would help advance the field. This article provides a pragmatic overview of approaches, opportunities, and challenges when intensive ambulatory methods are applied to study everyday stress responses in "real time." We distinguish between three stress-response components (i.e., reactivity, recovery, and pileup) and focus on several fundamental questions: (a) What is the appropriate stress-free resting state (or "baseline") for an individual in everyday life? (b) How does one index the magnitude of the initial response to a stressor (reactivity)? (c) Following a stressor, how can recovery be identified (e.g., when the stress response has completed)? and (d) Because stressors may not occur in isolation, how can one capture the temporal clustering of stressors and/or stress responses (pileup)? We also present initial ideas on applying this approach to intervention research. Although we focus on stress responses, these issues may inform many other dynamic intraindividual constructs and behaviors (e.g., physical activity, physiological processes, other subjective states) captured in ambulatory assessment.