The Grow It! app-longitudinal changes in adolescent well-being during the COVID-19 pandemic: a proof-of-concept study.

Adolescent mental health and well-being have been adversely impacted by the COVID-19 pandemic. In this preregistered longitudinal study, we evaluated whether adolescents' well-being improved after playing the multiplayer serious game app Grow It! During the first lockdown (May-June 2020), 1282 Dutch adolescents played the Grow It! app (age = 16.67, SD = 3.07, 68% girls). During the second lockdown (December-May 2020 onwards), an independent cohort of 1871 adolescents participated (age = 18.66, SD = 3.70, 81% girls). Adolescents answered online questionnaires regarding affective and cognitive well-being, depressive symptoms, anxiety, and impact of COVID-19 at baseline. Three to six weeks later, the baseline questionnaire was repeated and user experience questions were asked (N = 462 and N = 733 for the first and second cohort). In both cohorts, affective and cognitive well-being increased after playing the Grow It! app (t = - 6.806, p < 0.001; t = - 6.77, p < 0.001; t = - 6.12, p < 0.001; t = - 5.93, p < 0.001; Cohen's d range 0.20-0.32). At the individual level, 41-53% of the adolescents increased in their affective or cognitive well-being. Adolescents with higher risk profiles (i.e., more depressive symptoms, lower atmosphere at home, and more COVID-19 impact) improved more strongly in their well-being. Positive user evaluations and app engagement were unrelated to changes in affective and cognitive well-being. This proof-of-concept study tentatively suggests that Grow It! supported adolescents during the pandemic.

Past Relational Experiences and Social Interaction: Direct, Moderated, and Mediated Associations Between Relational Difficulty, Communication, and Perception in Two Samples

This study examined the relationship between perceptions of relational history, namely, past relational challenges, and everyday social interaction experiences. In efforts to build upon and extend previous research, hypotheses directed toward replication and extension were tested in two experience sampling datasets (N = 120 and 220). Consistent support was found for the idea that people with a history of relational difficulties tend to perceive less interaction partner responsiveness, lower well-being, and higher stress during social interactions. Support was also found in a sample of adults for a multilevel mediation model whereby negative relations with others negatively predicted partner responsiveness through stress and partner liking. Results are interpreted based on affection-, appraisal-, and resource-based theories and potential differences in relational experiences at unique life stages and phases of the COVID-19 pandemic. [ FROM AUTHOR] Copyright of Communication Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The influence of emotion regulation flexibility on negative emotions: Evidence from experience sampling

In our complex social environments, life situations are ever-changing. When dealing with these changes, there is no one-size-fits-all response or regulatory strategy suitable for all situations. Emotion regulation flexibility (ERF)—a framework for understanding individual differences in adaptive responding to ever-changing life contexts—emphasizes that individuals can flexibly deploy and adjust emotion regulation strategies according to specific characteristics of stressful situations in daily life. To achieve regulatory efficacy, it is important that one can utilize a balanced profile of ER strategies and select strategies that fit well with particular stressful situations. Specifically, using multiple ER strategies in daily life, rather than relying on only single-strategies, would indicate higher ERF. Additionally, based on leading models of strategy-situation fit, certain ER strategies are more appropriate for high versus low intensity stressful events. For instance, distraction involves with shielding oneself from negative stimuli and replacing them with irrelevant things, which may have a greater regulatory effect in high-intensity negative situations. Conversely, strategies such as reappraisal, which involves the processing of negative situations through deep cognitive change, may be more effective in lower-intensity negative situations and as a cornerstone of longer-term ER. We used the experience-sampling method (ESM) to quantify individual's ERF;more specifically we assess participants for 1) having more or less balanced ER strategy profiles and 2) showing greater strategy-situation fit, in regard to the use of distraction versus reappraisal in the regulation of high-intensity versus low-intensity negative life events. To test the adaptive value of ERF on negative emotions and mental health, we investigated the influence of ERF on depressive and anxiety symptoms in two samples. We hypothesized that individuals with a more balanced profile of ER strategy use and a great level of strategy-situation fit would have higher levels of mental health, indicated by low levels of anxiety and depressive feelings. In sample 1, two hundred eight college students finished the ESM procedure (2859 beeps). Intensity of negative situations was measured by self-reported negative feelings for the time points where participants reported an adverse event. Simultaneously, we assessed participants' use of two ER strategies (i.e., distraction and reappraisal). Considering the negative impact of COVID-19 on people's daily life, we collected another sample (sample 2, 3462 beeps) with one hundred people who lived in Hubei Province, where Wuhan was in lockdown during the severe phase of COVID-19 (March 7-13, 2020). We measured intensity of negative situations (by averaging individuals' negative feelings), as well as the use of two ER strategies at corresponding time points. After completing the ESM procedure, the participants were asked to fill out a series of emotional health questionnaires, including Beck Depression Inventory-II, Beck Anxiety Inventory and Spielberger State Anxiety Scale. Multilevel models were used to fit the covariation between the use of distraction versus reappraisal ER strategies and the intensity of negative events. Additionally, we used multiple level regression models to test whether high level of strategy-situation fit would result in lower negative feelings. To test whether a single-strategy preference would lead to higher levels of anxiety and depressive feelings compared to a multiple-strategy preference, latent profile analyses (LPA) was used. Results from the LPA indicated that individuals with preferences for rumination and express suppression reported higher levels depression and anxiety than individuals with a multi-strategy preference. In the multilevel models, results of the two independent samples both suggested individuals who were more inclined to use a higher level of distraction in response to high-intensity negative situations (e.g., adverse events or during COVID-19) and use hi her levels of reappraisal during low-intensity situations (i.e., high level of ERF) reported lower levels of anxiety and depressive feelings. On the converse, individuals who tended to use more distraction in low intensity situations and more reappraisal in high intensity situations, (i.e., those showing lower ERF) reported a higher level of negative feelings. Together, our findings revealed a negative relationship between ERF and mental health problems in two samples, suggesting that having balanced ER profiles and flexibly deploying strategies in specific life contexts may have adaptive value in facilitating positive mental health. This work deepens our understanding of the interaction between ER strategies and situational demands, paving the way for future intervention research to help alleviate negative emotions associated with affective disorders or the experience of major traumatic events (such as epidemics, earthquakes, etc.). © The Authors.

Physical and mental fatigue in post-COVID syndrome and their associations over time: A small-sample ESM-study to explore fatigue, quality of sleep and behaviours.

OBJECTIVE: Post-COVID syndrome leaves millions of people with severe fatigue, yet little is known about its nature in daily life. In this exploratory study, momentary associations between physical and mental fatigue, quality of sleep and behaviours over two weeks in patients with post-COVID syndrome were assessed. METHOD: Data on fatigue levels, quality of sleep and behaviours was collected for 14 consecutive days using the experience sampling method in ten ex-hospitalised patients with post-COVID syndrome. RESULTS: Multilevel linear regression modelling showed strong associations between physical and mental fatigue (ß = 0.61, p ≤0.001), significant both between and within individuals. Sleeping more hours at night was associated with less physical and mental fatigue the following day (ß = -0.35, p = .001; ß = -0.27, p = .008). Strenuous relaxation (B = 0.45, p ≤0.001; B = 0.28, p = .004) and social contacts (B = -0.33, p = .003; B = -0.22, p = .02) were associated with physical and mental fatigue at the same measurement point. Performing household chores decreased physical and mental fatigue (B = -0.29, p = .02; B = -0.30, p = .006) two hours later on the same day, whereas eating and drinking increased physical fatigue (B = 0.20, p = .05) two hours later on the same day. CONCLUSION: Physical fatigue and mental fatigue were strongly associated and revealed fluctuations in fatigue levels between individuals, which might suggest potentially different post-COVID subgroups. Indications for potential risk and beneficial behaviours for fatigue were found.

Attachment, loneliness, and social connection as prospective predictors of suicidal ideation during the COVID-19 pandemic: A relational diathesis-stress experience sampling study.

INTRODUCTION: Concerns about the impact of the COVID-19 pandemic on mental health have led to efforts to understand how pandemic-specific factors, such as decreased social contact during periods of social distancing, may relate to suicide risk. The present study evaluated personality-based risk factors and frequency of social contact as prospective predictors of suicidal ideation (SI) during the pandemic. METHODS: We tested a relational diathesis-stress model of suicide focusing on insecure attachment, trait loneliness, and social contact as predictors of SI, using twice-weekly survey data collected via smartphone from a community sample (n = 184) over 8 weeks. RESULTS: Multilevel modeling showed that both trait loneliness and anxious attachment predicted the prospective development of SI during the study period. Reduced in-person contact, but not remote contact, was proximally associated with increased SI. Participants with high attachment avoidance were more likely to develop SI in the context of reduced daily in-person contact compared to participants without these traits. CONCLUSION: Findings support a relational diathesis-stress model of suicide risk during the pandemic, showing that dispositional traits related to emotional connection with others predicted the relative salience of reduced social contact as a proximal risk factor for SI.

Paradoxical Impacts of Social Relationship on Well-Being During the COVID-19 Pandemic.

Social interaction is an important source of psychological and physical well-being during normal times. However, following the COVID-19 outbreak, which spreads rapidly from person to person, social interaction poses a fatal threat to one's health and life. Therefore, several countries including South Korea implemented an intense social distancing mandate to prevent the spread of the virus. During these unique times of pandemic, the current research investigated whether and how an individual's well-being varies as a function of their interaction with various relationship partners using experience sampling data (Study 1) and online longitudinal data (Study 2). The results indicated that being alone was more detrimental to well-being during the pandemic than before it. Specifically, interaction with close relationship partners (e.g., romantic partner, spouse, or friend) was positively related to well-being, whereas interaction with formal relationship partners (e.g., coworker, boss) was negatively linked to momentary well-being during the pandemic. Furthermore, our study showed that the association between social supports from close relationships and well-being was temporally strengthened during COVID-19 pandemic. In sum, the benefits of close relationships on well-being were stronger during the COVID-19 pandemic than before it.

Intolerance of aloneness as a prospective predictor of suicidal ideation during COVID-19.

Background: Social distancing has been essential in mitigating the spread of the SARS-CoV-2 virus. Evidence regarding the impact of reduced social contact on mental health during the pandemic has been mixed, however, with studies suggesting that enduring personality traits and affect regulation impairments may together increase risk for suicidal distress during periods of lockdown. The present study utilized experience sampling and longitudinal follow-up methods to evaluate intolerance of aloneness (IA) as a predictor of suicidal ideation (SI) during the pandemic. Methods: A general adult sample (n = 184) recruited online completed an 8-week experience sampling protocol via smartphone between April and September 2020. A subset of n = 69 participants completed a follow-up assessment of SI six months after the initial study period. Results: IA was associated with suicidal ideation both at baseline and prospectively during the experience sampling period. Individuals with greater IA were more likely to report SI in the short-term context of reduced daily in-person social contact. Higher IA at baseline furthermore prospectively predicted the occurrence of SI during the 6-month follow-up period. Limitations: The sample was relatively homogenous in terms of demographic characteristics and excluded individuals with limited access to communication technology. While statistical models accounted for current mental health treatment status, other factors that were not assessed (such as adverse events or psychiatric symptoms in non-treatment-seeking subjects) may have contributed to the development of SI. Conclusions: Findings enhance understanding of how personality-based factors may contribute to suicide risk during periods of social distancing, informing both clinical treatment, risk assessment, and public health intervention approaches.

The influence of emotion regulation flexibility on negative emotions: Evidence from experience sampling

In our complex social environments, life situations are ever-changing. When dealing with these changes, there is no one-size-fits-all response or regulatory strategy suitable for all situations. Emotion regulation flexibility (ERF)—a framework for understanding individual differences in adaptive responding to ever-changing life contexts—emphasizes that individuals can flexibly deploy and adjust emotion regulation strategies according to specific characteristics of stressful situations in daily life. To achieve regulatory efficacy, it is important that one can utilize a balanced profile of ER strategies and select strategies that fit well with particular stressful situations. Specifically, using multiple ER strategies in daily life, rather than relying on only single-strategies, would indicate higher ERF. Additionally, based on leading models of strategy-situation fit, certain ER strategies are more appropriate for high versus low intensity stressful events. For instance, distraction involves with shielding oneself from negative stimuli and replacing them with irrelevant things, which may have a greater regulatory effect in high-intensity negative situations. Conversely, strategies such as reappraisal, which involves the processing of negative situations through deep cognitive change, may be more effective in lower-intensity negative situations and as a cornerstone of longer-term ER. We used the experience-sampling method (ESM) to quantify individual’s ERF;more specifically we assess participants for 1) having more or less balanced ER strategy profiles and 2) showing greater strategy-situation fit, in regard to the use of distraction versus reappraisal in the regulation of high-intensity versus low-intensity negative life events. To test the adaptive value of ERF on negative emotions and mental health, we investigated the influence of ERF on depressive and anxiety symptoms in two samples. We hypothesized that individuals with a more balanced profile of ER strategy use and a great level of strategy-situation fit would have higher levels of mental health, indicated by low levels of anxiety and depressive feelings. In sample 1, two hundred eight college students finished the ESM procedure (2859 beeps). Intensity of negative situations was measured by self-reported negative feelings for the time points where participants reported an adverse event. Simultaneously, we assessed participants’ use of two ER strategies (i.e., distraction and reappraisal). Considering the negative impact of COVID-19 on people’s daily life, we collected another sample (sample 2, 3462 beeps) with one hundred people who lived in Hubei Province, where Wuhan was in lockdown during the severe phase of COVID-19 (March 7-13, 2020). We measured intensity of negative situations (by averaging individuals’ negative feelings), as well as the use of two ER strategies at corresponding time points. After completing the ESM procedure, the participants were asked to fill out a series of emotional health questionnaires, including Beck Depression Inventory-II, Beck Anxiety Inventory and Spielberger State Anxiety Scale. Multilevel models were used to fit the covariation between the use of distraction versus reappraisal ER strategies and the intensity of negative events. Additionally, we used multiple level regression models to test whether high level of strategy-situation fit would result in lower negative feelings. To test whether a single-strategy preference would lead to higher levels of anxiety and depressive feelings compared to a multiple-strategy preference, latent profile analyses (LPA) was used. Results from the LPA indicated that individuals with preferences for rumination and express suppression reported higher levels depression and anxiety than individuals with a multi-strategy preference. In the multilevel models, results of the two independent samples both suggested individuals who were more inclined to use a higher level of distraction in response to high-intensity negative situations (e.g., adverse events or during COVID-19) and use hi her levels of reappraisal during low-intensity situations (i.e., high level of ERF) reported lower levels of anxiety and depressive feelings. On the converse, individuals who tended to use more distraction in low intensity situations and more reappraisal in high intensity situations, (i.e., those showing lower ERF) reported a higher level of negative feelings. Together, our findings revealed a negative relationship between ERF and mental health problems in two samples, suggesting that having balanced ER profiles and flexibly deploying strategies in specific life contexts may have adaptive value in facilitating positive mental health. This work deepens our understanding of the interaction between ER strategies and situational demands, paving the way for future intervention research to help alleviate negative emotions associated with affective disorders or the experience of major traumatic events (such as epidemics, earthquakes, etc.). © The Authors.

Flexibility and Social Disconnectedness: Assessing University Students' Well-Being Using an Experience Sampling Chatbot and Surveys Over Two Years of COVID-19

COVID-19 caused an abrupt switch from face-to-face to online teaching. This led to unknown challenges and consequences for students and lecturers. In the first semester after its outbreak, we developed a messenger-based chatbot to perform an experience sampling study to evaluate students' well-being and experiences (n = 31) with the radical changes in higher education. Finding a decrease in students' perceived motivation but an increase in productivity, we conducted a follow-up survey to compare the development a year later (n = 41). Our results revealed two main student profiles, one feeling severely impacted by the persisting social distance in their study performance and the other appreciating the flexibility and expended free time due to the changes in the teaching formats. Based on our findings, we introduce implications for the overall design of higher education and show the benefits and challenges of combining chatbot-enabled experience sampling with traditional surveys. © 2022 ACM.

Impact of restrictive COVID-19 measures on daily momentary affect in an epidemiological youth sample in Hong Kong: An experience sampling study.

Restrictive COVID-19 measures can have significant mental health impacts, particularly on young people. How such measures may influence day-to-day momentary affect, nonetheless, remains to be explored. Experience sampling data were collected from 165 young people (aged 15-24) as part of a larger epidemiological youth mental health study in Hong Kong. We examined the impact of one of the most stringent COVID-19 measures - dine-in restrictions - on momentary positive and negative affect and current contexts and activities of these young people. The effects of a milder form of COVID-19 measure - school suspension - were separately examined. Multilevel analysis revealed that those in the dine-in ban group, compared to dining-as-usual, showed significantly reduced momentary positive affect (ß = -0.17, SE = 0.06, p = 0.003). Its effect remained significant even when accounting for baseline depressive and anxiety symptoms and socioeconomic status (ß = -0.15, SE = 0.05, p = 0.008). The effect of dine-in ban on reduced momentary positive affect was found specifically when participants were in indoor locations (e.g., home, office), alone, and engaged in passive leisure activities. This pattern was not observed when participants were at school or at other outdoor locations, with friends, or engaged in active leisure activities. No significant effect of school suspension on momentary affect was observed. More severe COVID-19 measures, such as dine-in ban, can have significant impacts on the momentary positive affect of young people. Certain contexts and activities may offer protection against the consequences of COVID-19 measures. The current findings may help to inform future designs of mental health interventions and public health policies. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03183-y.

Exploring the optimal learning moments in a university-level chemistry course

A new perspective on chemistry learning could be the optimal learning moment of view based on flow theory. Optimal learning moments (OLMs) that occur when students experience high levels of interest, challenge, and skill at the same time were investigated in this study. Participants of the study were 47 pre-service science teachers. Data were collected via the experience sampling method in a university-level chemistry course which was given online due to the COVID19 pandemic, and an online form was used to collect data at specified points of the course. It was found that participants reported OLMs 23.5% of the time. Also, the occurrence of OLMs in different units (content) or different parts (activities) of the course was investigated. There was no significant difference in OLMs at different units of the course. However, there was a significant difference between the course's lecturing, mini-testing, and problem-solving parts. Optimal learning moments occurred in mini-testing and problem-solving parts more than in the lecturing part of the course. Thus, it can be concluded that students had more OLMs in the parts where they were more active and had more responsibility. Also, the order of the constituents of OLMs might be important as their size. [ FROM AUTHOR] Copyright of Interactive Learning Environments is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Can venting hamper high emotionally intelligent recipient's reattachment to work?

Purpose>This study investigates how healthcare workers' venting - an emotion-focused form of coping during non-working hours - has unintended costs via its effect on spouses' reattachment to work if life partners are dual-earners. Research also examined anxiety as a causal mechanism that connects the receipt of venting with failure in reattachment to work. Lastly, our theory suggests that not everyone has the same experience with venting;the effect varies at different levels of emotional intelligence.Design/methodology/approach>Multilevel path analysis using MPlus 8.3 was conducted to examine the daily survey data obtained from 101 spouses of healthcare workers over four consecutive workdays using the experience sampling technique.Findings>The results suggested that receipt of venting increases anxiety and adversely influences reattachment to work through increased anxiety. The findings supported the suggested model's predictions, indicating that anxiety mediated the link between the receipt of venting and reattachment to work, and the mediation was partial. Further, emotional intelligence buffers the positive effect of receipt of venting on anxiety and the negative on reattachment to work. Lastly, the findings indicate that moderated mediation exists: the indirect effect of receipt of venting on reattachment to work is not as strong at higher levels of emotional intelligence.Originality/value>This study is the first attempt that identified the receipt of venting as a predictor of reattachment to work. Moreover, up till now, no study has examined the mediating role of anxiety in the relationship between receipt of venting and reattachment to work. Finally, this is the preliminary effort that validated the moderating role of emotional intelligence on the above-mentioned links.

Routines and Meaning in Life: Does Activity Content or Context Matter?

People feel that their lives are more meaningful while engaging in behaviors more closely aligned with their routines. Does the behavioral content of these routines and the contextual factors surrounding their enactment matter for this relationship? In two experience sampling studies (N = 93, 1,512 episodes; N = 97, 1,629 episodes), we test whether the relationship between routines and meaning in life (MIL) depends on the content of the activities. We found that the degree to which one's current activity is a routine positively related to momentary MIL beyond other meaningful features (e.g., relationships, goals, prosociality) of that activity. We conducted Study 2 in the context of mass routine disruptions of the COVID-19 pandemic. We found even stronger relationships between routine enactment and concurrent MIL in this context which held controlling for factors, including perceived chaos, mood, and anxiety. These findings suggest that routines uniquely relate to MIL, beyond the meaningfulness of their content and across contexts.

Risk and Protective Factors of College Students' Psychological Well-Being During the COVID-19 Pandemic: Emotional Stability, Mental Health, and Household Resources

Colleges and universities have increasingly worried in recent decades about college students' well-being, with the COVID-19 pandemic aggravating these concerns. Our study examines changes to undergraduate emotional sentiments and psychological well-being from before to after the onset of the pandemic. In addition, we explore whether certain risk factors (i.e., prior mental health impairments, trait emotional stability) and protective factors (i.e., subjective socioeconomic status, parental education, household resources) predicted students' emotions and their intraindividual changes due to the pandemic onset. We compared experience sampling method data from 120 students from before and after the pandemic onset, examining intraindividual trajectories. There was only little change in students' emotions. Prior mental health impairment and trait emotional stability predicted students' emotions, averaged across time points, but not emotion changes. Few associations with emotions were found for subjective socioeconomic status and parental education, but study-related household resources predicted levels and changes in emotions.

Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression

Technological embeddedness into everyday life and interconnectivity between omnipresent devices, termed the Internet of Things (IoT), have spurned a dedicated research venture in the field of mental health. Recognizing that mental health issues are on an alarming rise, affecting the individual and the society in a progressively multi-faceted nature, and that existing human resources are not sufficient to tackle the crisis, decision-makers have turned to technology to see what opportunities it may offer. More than ever, this endeavor has gained importance due to the COVID-19 pandemic, whose consequences not only severed the already fickle live human contact between the professionals and their patients but also onset a broad mental health crisis stemming from the virus’ impact on health and the implemented measures to control it. The role that IoT-enabled technology plays in this new landscape of digital mental health can be roughly divided into two complementary processes: assessment and intervention. Assessment concerns monitoring, learning about, and recognizing a person’s mental health issues through their physiology, behavior, thinking, emotional and cognitive states, and the context they live in. Intervention follows, and it conforms to the specifics of an assessment, attempting to effect attitude and behavior change in a person. Technology, especially artificial intelligence, enables assessment and intervention to be tailored very specifically to the individual. Omnipresent devices—e.g., smart bracelets—allow increasingly more accurate assessments, which allow not only better interventions but also interventions that can be delivered momentarily—e.g., with an intelligent cognitive assistant on a smartphone—with the continuous interchange of both as the biggest leap forward. Due to the research field still being young and thus not systematized into a coherent framework, even lacking an overview of methods, trends, and directions, this book chapter serves as an early attempt to codify this highly interdisciplinary relationship between technology and mental health. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The impact of COVID-19-related smell and taste disorders on a patient with bulimia nervosa: a case report.

A large number of patients with COVID-19 will suffer from long-term smell and taste disorders (STD). These STD symptoms could have a significant impact on patients with an eating disorder (ED). To highlight this issue, a case is presented of a patient with bulimia nervosa who experienced COVID-19-relate STD symptoms. Clinicians should reassess patients with an ED who suffer from COVID-19 with STD symptomatology and potentially redirect treatment. More research is needed on STD symptoms in patients with an ED to improve our knowledge on the role of smell and taste in disordered eating behaviors and improve treatment guidelines.

A day in the life of a college student during the COVID-19 pandemic: An experience sampling approach to emotion regulation.

COVID-19 has contributed to unexpected stressors in daily life, and emotion regulation is an important area of research during and post-pandemic to gain knowledge of the effect of the pandemic on emotion regulatory processes. We adopted an ecologically valid approach to collect 10 experience sampling events within the same day to examine how college students regulated their emotions on a typical weekday during the pandemic and the simultaneous hedonic association of these strategies on their affective experience. Several emotion regulation strategies (including acceptance, calming, reappraisal, problem solving, and social sharing) were associated with increased positivity or reduced negativity that may be better for psychological health. In contrast, other emotion regulation strategies (including rumination, experiential avoidance, catastrophizing, lack of clarity, self-blaming, and other-blaming) were associated with increased negativity or reduced positivity that may worsen psychological health. In these findings, self-reported stress was a crucial contextual moderator to consider while understanding the relationship between emotion regulation strategies and experienced affect. The current study documents variability in affect in response to stressors experienced by college students even within a single day and provides a real-world perspective on the emotion regulation strategies that were adaptive and maladaptive in the context of the COVID-19 pandemic.

Tracking Infant Development With a Smartphone: A Practical Guide to the Experience Sampling Method.

The COVID-19 pandemic has forced developmental researchers to rethink their traditional research practices. The growing need to study infant development at a distance has shifted our research paradigm to online and digital monitoring of infants and families, using electronic devices, such as smartphones. In this practical guide, we introduce the Experience Sampling Method (ESM) - a research method to collect data, in the moment, on multiple occasions over time - for examining infant development at a distance. ESM is highly suited for assessing dynamic processes of infant development and family dynamics, such as parent-infant interactions and parenting practices. It can also be used to track highly fluctuating family dynamics (e.g., infant and parental mood or behavior) and routines (e.g., activity levels and feeding practices). The aim of the current paper was to provide an overview by explaining what ESM is and for what types of research ESM is best suited. Next, we provide a brief step-by-step guide on how to start and run an ESM study, including preregistration, development of a questionnaire, using wearables and other hardware, planning and design considerations, and examples of possible analysis techniques. Finally, we discuss common pitfalls of ESM research and how to avoid them.

How Does the Use of Mobile Social Platforms Impact Impulsive Buying? A Case of Wechat

Based on affective event theory (AET), the present study examines how information source credibility and platform media richness are impacting consumers' impulsive buying during the COVID-19 pandemic period. The experience sampling method was adopted, and 550 matched cases nested in 110 Chinese samples were collected over five consecutive days. A multilevel structural equation model (MSEM) was employed to analyze the research model. Our main findings indicate that (1) daily information source credibility related to COVID-19 pandemic decreases information anxiety, whereas platform media richness increases information anxiety;(2) information anxiety mediates the impacts of information source credibility and media richness on impulsive buying;(3) chronic COVID-19 induced strain moderates the indirect relationship between daily platform media richness and impulsive buying through information anxiety. This study enriches the impulsive buying literature by incorporating informational and technical characteristics of mobile social platforms in the COVID-19 period. This study provides us with practical implications about how to manage impulsive buying. © 2021 ACM. Copyright held by the owner/author(s). Publication rights licensed to ACM.

Remote Digital Psychiatry for Mobile Mental Health Assessment and Therapy: MindLogger Platform Development Study.

BACKGROUND: Universal access to assessment and treatment of mental health and learning disorders remains a significant and unmet need. There are many people without access to care because of economic, geographic, and cultural barriers, as well as the limited availability of clinical experts who could help advance our understanding and treatment of mental health. OBJECTIVE: This study aims to create an open, configurable software platform to build clinical measures, mobile assessments, tasks, and interventions without programming expertise. Specifically, our primary requirements include an administrator interface for creating and scheduling recurring and customized questionnaires where end users receive and respond to scheduled notifications via an iOS or Android app on a mobile device. Such a platform would help relieve overwhelmed health systems and empower remote and disadvantaged subgroups in need of accurate and effective information, assessment, and care. This platform has the potential to advance scientific research by supporting the collection of data with instruments tailored to specific scientific questions from large, distributed, and diverse populations. METHODS: We searched for products that satisfy these requirements. We designed and developed a new software platform called MindLogger, which exceeds the requirements. To demonstrate the platform's configurability, we built multiple applets (collections of activities) within the MindLogger mobile app and deployed several of them, including a comprehensive set of assessments underway in a large-scale, longitudinal mental health study. RESULTS: Of the hundreds of products we researched, we found 10 that met our primary requirements with 4 that support end-to-end encryption, 2 that enable restricted access to individual users' data, 1 that provides open-source software, and none that satisfy all three. We compared features related to information presentation and data capture capabilities; privacy and security; and access to the product, code, and data. We successfully built MindLogger mobile and web applications, as well as web browser-based tools for building and editing new applets and for administering them to end users. MindLogger has end-to-end encryption, enables restricted access, is open source, and supports a variety of data collection features. One applet is currently collecting data from children and adolescents in our mental health study, and other applets are in different stages of testing and deployment for use in clinical and research settings. CONCLUSIONS: We demonstrated the flexibility and applicability of the MindLogger platform through its deployment in a large-scale, longitudinal, mobile mental health study and by building a variety of other mental health-related applets. With this release, we encourage a broad range of users to apply the MindLogger platform to create and test applets to advance health care and scientific research. We hope that increasing the availability of applets designed to assess and administer interventions will facilitate access to health care in the general population.