Pressure to not feel bad among (different-sex) romantic partners: prevalence, and correlates.

Western society generally highly values happiness. As a result, people sometimes experience pressure not to feel negative emotions. In this study, we comprehensively investigated this pressure, and how it manifests itself, in adult romantic relationships. Specifically, we first examined when, how often and how intensely people experience pressure not to feel bad from their romantic partners (94 different-sex couples). Additionally, we investigated (both between- and within-person) how this pressure is related to context (presence of, contact and or conflict with a partner), emotional processes (i.e. experienced sadness and anxiety, emotion suppression, and how their partner perceived their affect), and relationship well-being. Using experience sampling methodology data (6/14 reports per day over one week) we found that although participants generally did not experience strong pressure from their partner, they experienced some feelings of pressure about 50% of the time. Furthermore, within-person predictors associated with negative processes/emotions (i.e. negative emotions, conflict, emotion suppression) were related to the momentary frequency (odds) and/or intensity of perceived pressure not to feel bad. At the between-person level, individuals who experience more sadness, anxiety and reported suppressing their emotions more often tended to experience more and/or stronger pressure. Only weak associations with relationship well-being were found.

A Comparison of Measures for Assessing Profile Similarity in Dyads.

Profile similarity measures are used to quantify the similarity of two sets of ratings on multiple variables. Yet, it remains unclear how different measures are distinct or overlap and what type of information they precisely convey, making it unclear what measures are best applied under varying circumstances. With this study, we aim to provide clarity with respect to how existing measures interrelate and provide recommendations for their use by comparing a wide range of profile similarity measures. We have taken four steps. First, we reviewed 88 similarity measures by applying them to multiple cross-sectional and intensive longitudinal data sets on emotional experience and retained 43 useful profile similarity measures after eliminating duplicates, complements, or measures that were unsuitable for the intended purpose. Second, we have clustered these 43 measures into similarly behaving groups, and found three general clusters: one cluster with difference measures, one cluster with product measures that could be split into four more nuanced groups and one miscellaneous cluster that could be split into two more nuanced groups. Third, we have interpreted what unifies these groups and their subgroups and what information they convey based on theory and formulas. Last, based on our findings, we discuss recommendations with respect to the choice of measure, propose to avoid using the Pearson correlation, and suggest to center profile items when stereotypical patterns threaten to confound the computation of similarity.

Evaluating dynamics in affect structure with latent Markov factor analysis.

In intensive longitudinal research, researchers typically consider the structure of affect to be stable across individuals and contexts. Based on an assumed theoretical structure (e.g., one bipolar or two separate positive and negative affect constructs), researchers create affect scores from items (e.g., sum or factor scores) and use them to examine the dynamics therein. However, researchers usually ignore that the affect structure itself is dynamic and varies across individuals and contexts. Understanding these dynamics provides valuable insights into individuals' affective experiences. This study uses latent Markov factor analysis (LMFA) to study what affect structures underlie individuals' responses, how individuals transition between structures, and whether their individual transition patterns differ. Moreover, we explore whether the intensity of negative events and the personality trait neuroticism relate to momentary transitions and individual differences in transition patterns, respectively. Applying LMFA to experience sampling data (N = 153; age: mean = 22; SD = 7.1; range = 17-66), we identified two affect structures-one with three and one with four dimensions. The main difference was the presence of negative emotionality, and the affect dimensions became more inversely related when the affect structure included negative emotionality. Moreover, we identified three latent subgroups that differed in their transition patterns. Higher negative event intensity increased the probability of adopting an affect structure with negative emotionality. However, neuroticism was unrelated to subgroup-membership. Summarized, we propose a way to incorporate contextual and individual differences in affect structure, contributing to advancing the theoretical basis of affect dynamics research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice.

In this paper, we present m-Path (www.m-Path.io), an online platform that provides an easy-to-use and highly tailorable framework for implementing smartphone-based ecological momentary assessment (EMA) and intervention (EMI) in both research and clinical practice in the context of blended care. Because real-time monitoring and intervention in people's everyday lives have unparalleled benefits compared to traditional data collection techniques (e.g., retrospective surveys or lab-based experiments), EMA and EMI have become popular in recent years. Although a surge in the use of these methods has led to a myriad of EMA and EMI applications, many existing platforms only focus on a single aspect of daily life data collection (e.g., assessment vs. intervention, active self-report vs. passive mobile sensing, research-dedicated vs. clinically-oriented tools). With m-Path, we aim to integrate all of these facets into a single platform, as it is exactly this all-in-one approach that fosters the clinical utility of accumulated scientific knowledge. To this end, we offer a comprehensive platform to set up complex and highly adjustable EMA and EMI designs with advanced functionalities, using an intuitive point-and click web interface that is accessible for researchers and clinicians with limited programming skills. We discuss the strengths of daily life data collection and intervention in general and m-Path in particular. We describe the regular workflow to set up an EMA or EMI design within the m-Path framework, and summarize both the basic functionalities and more advanced features of our software.

Usability of the Experience Sampling Method in Specialized Mental Health Care: Pilot Evaluation Study.

BACKGROUND: Mental health problems occur in interactions in daily life. Yet, it is challenging to bring contextual information into the therapy room. The experience sampling method (ESM) may facilitate this by assessing clients' thoughts, feelings, symptoms, and behaviors as they are experienced in everyday life. However, the ESM is still primarily used in research settings, with little uptake in clinical practice. One aspect that may facilitate clinical implementation concerns the use of ESM protocols, which involves providing practitioners with ready-to-use ESM questionnaires, sampling schemes, visualizations, and training. OBJECTIVE: This pilot study's objective was to evaluate the usability of an ESM protocol for using the ESM in a specialized mental health care setting. METHODS: We created the ESM protocol using the m-Path software platform and tested its usability in clinical practice. The ESM protocol consists of a dashboard for practitioners (ie, including the setup of the template and data visualizations) and an app for clients (ie, for completing the ESM questionnaires). A total of 8 practitioners and 17 clients used the ESM in practice between December 1, 2020, and July 31, 2021. Usability was assessed using questionnaires, ESM compliance rates, and semistructured interviews. RESULTS: The usability was overall rated reasonable to good by practitioners (mean scores of usability items ranging from 5.33, SD 0.91, to 6.06, SD 0.73, on a scale ranging from 1 to 7). However, practitioners expressed difficulty in personalizing the template and reported insufficient guidelines on how to use the ESM in clinical practice. On average, clients completed 55% (SD 25%) of the ESM questionnaires. They rated the usability as reasonable to good, but their scores were slightly lower and more variable than those of the practitioners (mean scores of usability items ranging from 4.18, SD 1.70, to 5.94, SD 1.50 on a scale ranging from 1 to 7). Clients also voiced several concerns over the piloted ESM template, with some indicating no interest in the continued use of the ESM. CONCLUSIONS: The findings suggest that using an ESM protocol may facilitate the implementation of the ESM as a mobile health assessment tool in psychiatry. However, additional adaptions should be made before further implementation. Adaptions include providing training on personalizing questionnaires, adding additional sampling scheme formats as well as an open-text field, and creating a dynamic data visualization interface. Future studies should also identify factors determining the suitability of the ESM for specific treatment goals among different client populations.

The effect of universal school-based mindfulness on anhedonia and emotional distress and its underlying mechanisms: A cluster randomised controlled trial via experience sampling in secondary schools.

This cluster randomised controlled trial examined the effectiveness of universal school-based mindfulness training (MT; vs. passive control) to lower anhedonia and emotional distress among mid-adolescents (15-18 years). It further examined three potential mechanisms: dampening of positive emotions, non-acceptance/suppression of negative emotions, and perceived social pressure not to experience/express negative emotions. Adolescents (ncontrol = 136, nintervention = 95) participated in three assessment points (before, after and two/three months after the in-class MT), consisting of Experience Sampling (ES) assessments and self-report questionnaires (SRQs) to corroborate the ES assessments. Analyses were based on general linear modelling and multilevel modelling. Overall, no evidence was found for a significant beneficial and long-lasting impact of the MT on adolescents' mental health. Importantly, some barriers inherently linked to universal MT approaches (low engagement in and mixed attitudes towards the MT) may have tempered the effectiveness of the MT in the current trial. Further research should prioritise overcoming these barriers to optimise programme implementation. Additionally, given the potential complex interplay of moderators at micro- (home practice), meso- (school climate), and macro-level (broader context), research should simultaneously focus on alternative ways of delivering MT at schools to strengthen adolescents' mental health.

Can action tendencies be counteracted by inducing incompatible emotions? Considering instances of anxiety and anger.

BACKGROUND: The incompatible response hypothesis suggests that emotions and other affective states can counteract each other when incompatible. With the present study, we focused on two negative emotions (anger and anxiety) associated with different action tendencies (approach vs. avoidance). Specifically, we wanted to investigate if an anxiety manipulation, subsequent to an anger manipulation, would show a counteracting effect of the approach action tendencies associated with the initial anger manipulation and vice versa for anxiety and avoidance tendencies. METHODS: We conducted a preregistered online experiment (N = 173). We evaluated changes from when the individual (1) was presented with a task in relation to a specific goal (e.g., anxiety induction: recordings of students' view on climate changes), (2) received a subsequent emotion induction framed within an unrelated task and goal (e.g., anger induction: student feedback on changes to the economic student compensation system), (3) after which they were asked to return to the initial task (e.g., from the anger induction back to the anxiety induction). Primary outcomes included visual and verbal measures of action tendencies, and secondary outcomes included appraisals and emotion experience. RESULTS: The results showed no evidence of a counteractive effect by inducing emotions unrelated to the initial task and with incompatible action tendencies. Rather, results pointed to spill-over effects, which should be seen in light of the anger conditions resulting not only in increase anger and irritability but also anxiety and nervousness. CONCLUSIONS: The lack of counteractive effects could be due to either the mixed emotions induced by the anger condition or the compatibility of motivational context (i.e., threat) of anxiety and anger. Future research needs to refine the incompatible response hypothesis, honing the ways in which incompatibility is needed for emotion alteration, for instance by investigating the role of the motivational context.

Emotional Granularity is Associated with Daily Experiential Diversity.

Emotional granularity is the ability to create differentiated and nuanced emotional experiences and is associated with positive health outcomes. Individual differences in granularity are hypothesized to reflect differences in emotion concepts, which are informed by prior experience and impact current and future experience. Greater variation in experience, then, should be related to the rich and diverse emotion concepts that support higher granularity. Using natural language processing methods, we analyzed descriptions of everyday events to estimate the diversity of contexts and activities encountered by participants. Across three studies varying in language (English, Dutch) and modality (written, spoken), we found that participants who referred to a more varied and balanced set of contexts and activities reported more differentiated and nuanced negative emotions. Experiential diversity was not consistently associated with granularity for positive emotions. We discuss the contents of daily life as a potential source and outcome of individual differences in emotion. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-023-00185-2.

Overnight emotional inertia in relation to depressive symptomatology and subjective sleep quality.

Emotions show a certain degree of continuity during the day, a quality referred to as emotional inertia, and that is typically elevated in depression. Little is known however about the extent to which our emotional experiences may or may not also persist overnight. Do our feelings continue from evening to morning or not? And how is this related to depressive symptoms and sleep quality? In an experience sampling studies in healthy subjects (ns = 123) we investigated (1) to what extent people's mood, in terms of positive and negative affect, in the morning, after a night of sleep, can be predicted from their mood of the evening before, and whether this is moderated by (2) depressive symptom severity or (3) subjective sleep quality. Results showed that morning negative affect could be strongly predicted based on previous evening negative affect, whilst this carry-over effect was not observed for positive affect, indicating that negative affect shows a general tendency to persist overnight, while positive affect did not show such continuity. The overnight prediction of both negative and positive affect was not moderated by level of depressive symptoms, nor by subjective sleep quality.

Roles of recalled parenting experiences and effortful control in adult daily emotion regulation.

Research suggests that both childhood experiences with one's parents and individual differences in effortful control contribute to adult emotion regulation (ER). However, it is unclear how they associate with specific ER processes. In this adult study, we examined the roles of recalled parenting experiences and effortful control in daily ER selection and implementation. Using ecological momentary assessment (EMA), we focused on ER strategies of reappraisal, suppression, and rumination. We hypothesized recalled parental warmth, rejection, and overcontrol to predict adult ER selection and effectiveness of ER implementation and effortful control to mediate these effects. One hundred twenty-two adults answered self-reported questionnaires on their childhood experiences with their parents and effortful control. In EMA, they reported ER and emotions seven times daily for seven days. Recalled parental warmth predicted less suppression and rumination, whereas recalled overcontrol, especially in fathers, predicted greater suppression and reappraisal. However, recalled parenting experiences did not predict the effectiveness of ER implementation, and no support was found for the mediating role of effortful control between recalled parenting experiences and ER. Our findings suggest that recalled parenting experiences may guide adult ER selection rather than shape ER implementation, and these links may be largely independent of their effortful control.

Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study.

BACKGROUND: The experience sampling methodology (ESM) has long been considered as the gold standard for gathering data in everyday life. In contrast, current smartphone technology enables us to acquire data that are much richer, more continuous, and unobtrusive than is possible via ESM. Although data obtained from smartphones, known as mobile sensing, can provide useful information, its stand-alone usefulness is limited when not combined with other sources of information such as data from ESM studies. Currently, there are few mobile apps available that allow researchers to combine the simultaneous collection of ESM and mobile sensing data. Furthermore, such apps focus mostly on passive data collection with only limited functionality for ESM data collection. OBJECTIVE: In this paper, we presented and evaluated the performance of m-Path Sense, a novel, full-fledged, and secure ESM platform with background mobile sensing capabilities. METHODS: To create an app with both ESM and mobile sensing capabilities, we combined m-Path, a versatile and user-friendly platform for ESM, with the Copenhagen Research Platform Mobile Sensing framework, a reactive cross-platform framework for digital phenotyping. We also developed an R package, named mpathsenser, which extracts raw data to an SQLite database and allows the user to link and inspect data from both sources. We conducted a 3-week pilot study in which we delivered ESM questionnaires while collecting mobile sensing data to evaluate the app's sampling reliability and perceived user experience. As m-Path is already widely used, the ease of use of the ESM system was not investigated. RESULTS: Data from m-Path Sense were submitted by 104 participants, totaling 69.51 GB (430.43 GB after decompression) or approximately 37.50 files or 31.10 MB per participant per day. After binning accelerometer and gyroscope data to 1 value per second using summary statistics, the entire SQLite database contained 84,299,462 observations and was 18.30 GB in size. The reliability of sampling frequency in the pilot study was satisfactory for most sensors, based on the absolute number of collected observations. However, the relative coverage rate-the ratio between the actual and expected number of measurements-was below its target value. This could mostly be ascribed to gaps in the data caused by the operating system pushing away apps running in the background, which is a well-known issue in mobile sensing. Finally, some participants reported mild battery drain, which was not considered problematic for the assessed participants' perceived user experience. CONCLUSIONS: To better study behavior in everyday life, we developed m-Path Sense, a fusion of both m-Path for ESM and Copenhagen Research Platform Mobile Sensing. Although reliable passive data collection with mobile phones remains challenging, it is a promising approach toward digital phenotyping when combined with ESM.

Recurrence of depression can be foreseen by monitoring mental states with statistical process control.

Detecting early signs of recurrence of psychopathology is key for prevention and treatment. Personalized risk assessment is especially relevant for formerly depressed patients, for whom recurrence is common. We aimed to examine whether recurrence of depression can be accurately foreseen by applying Exponentially Weighted Moving Average (EWMA) statistical process control charts to Ecological Momentary Assessment (EMA) data. Participants were formerly depressed patients (n = 41) in remission who (gradually) discontinued antidepressants. Participants completed five smartphone-based EMA questionnaires a day for 4 months. EWMA control charts were used to prospectively detect structural mean shifts in high and low arousal negative affect (NA), high and low arousal positive affect (PA), and repetitive negative thinking in each individual. A significant increase in repetitive negative thinking (worry, negative thoughts about the self) was the most sensitive early sign of recurrence: this was detected in 18 out of 22 patients (82%) before recurrence and in 8 out of 19 patients (42%) who stayed in remission. A significant increase in NA high arousal (stress, irritation, restlessness) was the most specific early sign of recurrence: this was detected in 10 out of 22 patients (45%) before recurrence and in 2 out of 19 patients (11%) who stayed in remission. These mean changes were detected at least a month before recurrence in the majority of the participants. The outcomes were robust across EWMA parameter choices, but not when using fewer observations per day. The findings demonstrate the value of monitoring EMA data with EWMA charts for detecting prodromal symptoms of depression in real-time. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

On the relationship between valence and arousal in samples across the globe.

Affect is involved in many psychological phenomena, but a descriptive structure, long sought, has been elusive. Valence and arousal are fundamental, and a key question-the focus of the present study-is the relationship between them. Valence is sometimes thought to be independent of arousal, but, in some studies (representing too few societies in the world) arousal was found to vary with valence. One common finding is that arousal is lowest at neutral valence and increases with both positive and negative valence: a symmetric V-shaped relationship. In the study reported here of self-reported affect during a remembered moment (N = 8,590), we tested the valence-arousal relationship in 33 societies with 25 different languages. The two most common hypotheses in the literature-independence and a symmetric V-shaped relationship-were not supported. With data of all samples pooled, arousal increased with positive but not negative valence. Valence accounted for between 5% (Finland) and 43% (China Beijing) of the variance in arousal. Although there is evidence for a structural relationship between the two, there is also a large amount of variability in this relation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Emotion regulation in everyday life: Mapping global self-reports to daily processes.

Recent theory conceptualizes emotion regulation as occurring across three stages: (a) identifying the need to regulate, (b) selecting a strategy, and (c) implementing that strategy to modify emotions. Yet, measurement of emotion regulation has not kept pace with these theoretical advances. In particular, widely used global self-report questionnaires are often assumed to index people's typical strategy selection tendencies. However, it is unclear how well global self-reports capture individual differences in strategy selection and/or whether they may also index other emotion regulation stages. To address this issue, we examined how global self-report measures correspond with the three stages of emotion regulation as modeled using daily life data. We analyzed data from nine daily diary and experience sampling studies (total N = 1,097), in which participants provided daily and global self-reports of cognitive reappraisal, expressive suppression, and rumination. We found only weak-to-moderate correlations between global self-reports and average daily self-reports of each regulation strategy (indexing strategy selection). Global self-reports also correlated with individual differences in the degree to which (a) preceding affect experience predicted regulation strategies (representing the identification stage), and (b) regulation strategies predicted subsequent changes in affective experience (representing the implementation stage). Our findings suggest that global self-report measures of reappraisal, suppression, and rumination may not strongly and uniquely correlate with individual differences in daily selection of these strategies. Moreover, global self-report measures may also index individual differences in the perceived need to regulate, and the affective consequences of regulation in daily life. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Development, validation, and comparison of self-report measures for positive and negative affect in intensive longitudinal research.

Affect is central to human functioning. Due to its dynamic nature, it is often studied with intensive longitudinal designs, yet the development and validation of measures for this purpose have received little systematic attention. In the present study, we review theoretical and methodological conceptualizations of affect that are relevant for repeated momentary positive and negative affect measurement. We developed a questionnaire including six dimensional affect and 22 discrete emotion items that allowed us to measure alternative momentary affect constructs with single- and multi-item scores. The items were operationalized into two bipolar, six positive, and six negative momentary affect measures. We compared the measures with three quantifiable criteria of construct validity: the amount of within-person variance, within-person sensitivity to emotional events, and between-person relations to depression and neuroticism. The criteria were empirically investigated with a preregistered experience sampling study (N = 153). We identify the measures with the strongest validity evidence across all criteria and evaluate their suitability for specific research questions, by looking at individual criteria. The overall findings provide strong evidence supporting the use of single-item measures of momentary affect. Furthermore, single items provide an efficient low-burden assessment tool that is comparable across studies. For multi-item scales, it is recommended to combine discrete emotion items of similar intensity, while simply selecting and averaging discrete emotion items is problematic concerning our validity criteria. In the future, we encourage the field to conduct systematic research on the use and interpretation of scores that aggregate different emotion items together. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The impact of affective information on working memory: A psychometric approach.

It has been debated whether working memory (WM) performance is modulated by the valence of the stimuli that are being processed. A recent meta-analysis revealed that at the behavioral level and in individuals without mental health problems, mean-level performance differences in WM tasks with neutral versus affective conditions are small to negligible. We took this finding an important step further by employing a psychometric approach. This is an important refinement of previous work because even in the absence of mean-level differences, differential processing of affective versus nonaffective information may still be occurring. We examined whether at the construct level, 2 latent WM factors could be distinguished in capturing the processing of neutral and affective stimuli, respectively. Applying confirmatory factor analyses (N = 183 university students) to a battery of 18 tasks (3 n-back paradigms crossed with 3 stimulus types and neutral vs. affective valence), the 2 factors correlated perfectly. This result was replicated when neutral stimuli were analyzed together with either positive or negative stimuli. Based on individual differences, the processing of affective versus nonaffective stimuli in WM therefore cannot be distinguished, at least not in a student sample of younger adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Distinguishing dimensions of emotion dynamics across 12 emotions in adolescents' daily lives.

Research on emotion dynamics as indices of emotion functioning has become muddled by conceptual confusion, methodological heterogeneity, and seemingly conflicting results. One way to address this chaos is the study of profiles of emotion dynamics across 12 emotions and how they differ between 246 adolescents. The interpretation of these dynamic profiles was guided by auxiliary variables including age, personality, depressive symptoms, and social experiences. During 6 days, 246 adolescents (Mage = 14.20; 65% female) rated nine times daily the intensity of 12 emotions (cheerful, happy, energetic, joyful, content, relaxed, anxious, worried, irritable, insecure, down, and guilty) and their social experiences with family, friends, and classmates. Additional baseline measures included neuroticism, extraversion (Revised Junior Eysenck Personality Questionnaire Short Form), and depressive symptoms (Center for Epidemiological Studies Depression Scale). A three-mode principal component analysis (3MPCA Tucker3-based) model was estimated on the person-specific dynamic parameters of emotional intensity (mean), variability (standard deviation), instability (mean squared successive difference), and inertia (autocorrelation). The 3MPCA identified three emotion-mode components (positive affect, negative affect, and irritability) and three dynamic-mode components (emotional intensity, lability, and inertia). Five individual-mode components captured interactions between these modes, of which positive affect explained most variation in the data. These emotion dynamic profiles correlated differently with social experiences. Additional 3MPCA model structures based on imputed data (correcting missing autocorrelations) and affect scale composites (low- and high-arousal positive and negative affect) showed strong resemblance. The identified emotion dynamic profiles capture meaningful interpersonal differences in adolescents' emotional experiences and change. Future work should focus on irritability and positive affect as these were uniquely informative in adolescents' emotional experiences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A mixed-method investigation into measurement reactivity to the experience sampling method: The role of sampling protocol and individual characteristics.

Since the introduction of the experience sampling method (ESM), there have been concerns that the repeated assessments typically related to this method may alter the behavior, thoughts, or feelings of participants. Previous studies have offered mixed results with some studies reporting reactive changes, while others failed to find such effects. Our aim was to investigate under which circumstances ESM induces reactive effects. Students (N = 151) were randomly assigned to receive a questionnaire containing 30 or 60 items three, six, or nine times per day for 14 days. A random sample of 50 participants took part in qualitative interviews after the end of the data collection. We investigated changes over time in the data, while taking into account the sampling protocol and characteristics of participants, and analyzed qualitative reports of measurement reactivity. Decreases in completion time, within-person variance of ratings and subjective reports of habituation point toward the existence of a habituation period. While participants reported increases in emotional awareness in interviews, ESM measures indicated a decrease in emotional awareness over time. Changes in behavior were rare in quantitative and qualitative reports. Positive affect was decreasing over time in the ESM data, and various changes in affect, emotion regulation, and thoughts were reported in interviews. Individual characteristics and sampling protocol had inconsistent effects on changes over time. The results suggest that ESM induces changes in within-person variability, completion times, affect, or emotional awareness over time. Further research is needed to explore whether observed changes affect the validity of ESM data. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Social mindfulness predicts concern for nature and immigrants across 36 nations.

People cooperate every day in ways that range from largescale contributions that mitigate climate change to simple actions such as leaving another individual with choice - known as social mindfulness. It is not yet clear whether and how these complex and more simple forms of cooperation relate. Prior work has found that countries with individuals who made more socially mindful choices were linked to a higher country environmental performance - a proxy for complex cooperation. Here we replicated this initial finding in 41 samples around the world, demonstrating the robustness of the association between social mindfulness and environmental performance, and substantially built on it to show this relationship extended to a wide range of complex cooperative indices, tied closely to many current societal issues. We found that greater social mindfulness expressed by an individual was related to living in countries with more social capital, more community participation and reduced prejudice towards immigrants. Our findings speak to the symbiotic relationship between simple and more complex forms of cooperation in societies.

Practitioner and researcher perspectives on the utility of ecological momentary assessment in mental health care: A survey study.

Background: Ecological momentary assessment (EMA) is a scientific self-monitoring method to capture individuals' daily life experiences. Early on, EMA has been suggested to have the potential to improve mental health care. However, it remains unclear if and how EMA should be implemented. This requires an in-depth investigation of how practitioners and researchers view the implementation of EMA. Objective: Explore the perspectives of mental health practitioners and EMA researchers on the utility of EMA for mental health care. Methods: Practitioners (n = 89; psychiatrists, psychologists, psychiatric nurses) and EMA researchers (n = 62) completed a survey about EMA in clinical practice. This survey addressed EMA goals for practitioner and patient, requirements regarding clinical use of EMA, and (dis)advantages of EMA compared to treatment-as-usual. t-Tests were used to determine agreement with each statement and whether practitioners' and researchers' views differed significantly. Linear regression was used to explore predictors of goals and preferences (e.g., EMA experience). Results: Practitioners and researchers considered EMA to be a useful clinical tool for diverse stages of care. They indicated EMA to be most useful for gaining insight into the context specificity of symptoms (55.0 %), whereas receiving alerts when symptoms increase was rated the least useful (11.3 %, alerts is in 95 % of bootstrap iterations between rank 8 and 10). Compared to treatment-as-usual, EMA was considered easier to use (M = 4.87, t = 5.30, p < .001) and interpret (M = 4.52, t = 3.61, p < .001), but also more burdensome for the patient (M = 4.48, t = 3.17, p < .001). Although participants preferred personalization of the EMA diary, they also suggested that EMA should cost practitioners and patients limited time. The preference for creating personalized EMA was related to the level of experience with EMA. Finally, they highlighted the need for practitioner training and patient full-time access to the EMA feedback. Conclusions: This survey study demonstrated that practitioners and researchers expect EMA to have added value for mental health care. Concrete recommendations for implementation of EMA are formulated. This may inform the development of specific clinical applications and user-friendly EMA software.