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Rumination means to perseveratively think about one's negative feelings and problems. It is a response to affective distress that is often referred to as maladaptive emotion regulation. According to the response styles theory and control theory, rumination may further prolong and exacerbate affective distress. This means that rumination can be viewed as both an antecedent and an outcome of negative affect (NA), and vice versa. However, at the level of short-term dynamics, state rumination and NA have previously mainly been examined as two separate outcomes. To model the reciprocal within-person effects and hence, to match theoretical assumptions, we combined the two interrelated time series in one model using dynamic structural equation modeling (DSEM). Both effects (NA on subsequent rumination and rumination on subsequent NA) were modeled simultaneously while acknowledging the autoregressive nature of both states (inert properties). We used data from two experience sampling studies (NStudy 1 = 200 Belgian university students; NStudy 2 = 70 German university students). Participants were paged on smartphones several times a day (Study 1: 10; Study 2: 6) for several days (Study 1: 7; Study 2: 9-12). In both studies, we found evidence for reciprocal effects of NA and rumination, and both processes showed autoregressive relationships. Aside from central findings, higher levels of rumination were also associated with higher rumination inertia, pointing toward more habitual rumination also being associated with prolonged rumination. Together, using DSEM, we found reciprocal associations between rumination and NA, while providing new insights into the dynamics between the two processes. (PsycInfo Database Record (c) 2022 APA, all rights reserved). ispartof: EMOTION vol:22 issue:8 pages:1773-1786 ispartof: location:United States status: published

Funder: Swiss National Science Foundation, Funder: Jacobs Center, Funder: Swiss Federal Office of Public Health, Funder: Swiss State Secretariat for Migration, Funder: Department of Education of the Canton of Zurich, Funder: Bank Baer Foundation, Funder: Visana Foundation, The relation between attention deficit hyperactivity disorder (ADHD) symptoms and aggression is well documented; however, the processes that account for higher levels of aggression associated with ADHD in the course of daily life are little understood. The current study used ecological momentary assessment to explore how ADHD traits relate to individual differences in perceiving provocation from others and the resultant aggressive behaviors; and the strengths of the links between provocation and aggression in the flow of daily life. A dynamic structural equation model was fit using data from a subpopulation of young adults involved in the longitudinal z-proso study (n = 259, median-age 20). Data on provocation and aggression was collected at four quasi-random time periods per day over a 14-day period. Individuals with higher ADHD trait levels reported higher instances of provocation and aggression, with ADHD traits significantly moderating aggression inertia such that those with higher levels of ADHD traits showed greater persistence of aggressive behavior over time. However, ADHD trait levels did not significantly moderate any of the observed cross-lagged effects. Our findings suggest that individuals with higher levels of ADHD traits are at greater risk of exposure to interpersonal interactions involving interpersonal provocation, show higher levels of aggressive behavior in daily life, and find it more difficult to reduce their aggression once triggered. These findings support the importance of targeting factors such as social skills and emotion regulation that may underpin the increased difficulties in interpersonal interactions often experienced by individuals with high levels of ADHD symptoms.

The relation between ADHD symptoms and aggression is well documented; however, the processes that account for higher levels of aggression associated with ADHD in the course of daily life are little understood. The current study used ecological momentary assessment (EMA) to explore how ADHD traits relate to individual differences in perceiving provocation from others and the resultant aggressive behaviours; and the strengths of the links between provocation and aggression in the flow of daily life. A dynamic structural equation model (DSEM) was fit using data from a subpopulation of young adults involved in the longitudinal z-proso study (n = 259, median-age 20). Data on provocation and aggression was collected at four quasi-random time periods per day over a 14-day period. Individuals with higher ADHD trait levels reported higher instances of provocation and aggression, with ADHD traits significantly moderating aggression inertia such that those with higher levels of ADHD traits showed greater persistence of aggressive behaviour over time. However, ADHD trait levels did not significantly moderate any of the observed cross-lagged effects. Our findings suggest that individuals with higher levels of ADHD traits are at greater risk of exposure to interpersonal interactions involving interpersonal provocation, show higher levels of aggressive behaviour in daily life, and find it more difficult to reduce their aggression once triggered. These findings support the importance of targeting factors such as social skills and emotion regulation that may underpin the increased difficulties in interpersonal interactions often experienced by individuals with high levels of ADHD symptoms.

Theories about mental disorders often highlight complex interpersonal dynamics. The Continuous Assessment of Interpersonal Dynamics (CAID; Sadler et al., 2009) system makes it possible to test such interpersonal theories (e.g., complementarity) by measuring moment-to-moment changes in dominance and friendliness. Few studies have utilized individually precise (i.e., idiographic) and prospective models to examine interpersonal dynamics relevant to mental disorders, such as social anxiety disorder (SAD). Such models are critical in the context of SAD, where we expect heterogeneity in interpersonal problems (Kachin et al., 2001) and the question of who drives the effect (e.g., person with SAD or conversation partner) is essential. The present study combines the CAID system and dynamic structural equation modeling (DSEM) to examine lagged relationships between dominance and friendliness in persons with and without SAD and their romantic partners during conflict.

Background The mobility of an individual measured by phone-collected location data has been found to be associated with depression; however, the longitudinal relationships (the temporal direction of relationships) between depressive symptom severity and phone-measured mobility have yet to be fully explored. Objective We aimed to explore the relationships and the direction of the relationships between depressive symptom severity and phone-measured mobility over time. Methods Data used in this paper came from a major EU program, called the Remote Assessment of Disease and Relapse–Major Depressive Disorder, which was conducted in 3 European countries. Depressive symptom severity was measured with the 8-item Patient Health Questionnaire (PHQ-8) through mobile phones every 2 weeks. Participants’ location data were recorded by GPS and network sensors in mobile phones every 10 minutes, and 11 mobility features were extracted from location data for the 2 weeks prior to the PHQ-8 assessment. Dynamic structural equation modeling was used to explore the longitudinal relationships between depressive symptom severity and phone-measured mobility. Results This study included 2341 PHQ-8 records and corresponding phone-collected location data from 290 participants (age: median 50.0 IQR 34.0, 59.0) years; of whom 215 (74.1%) were female, and 149 (51.4%) were employed. Significant negative correlations were found between depressive symptom severity and phone-measured mobility, and these correlations were more significant at the within-individual level than the between-individual level. For the direction of relationships over time, Homestay (time at home) (φ=0.09, P=.01), Location Entropy (time distribution on different locations) (φ=−0.04, P=.02), and Residential Location Count (reflecting traveling) (φ=0.05, P=.02) were significantly correlated with the subsequent changes in the PHQ-8 score, while changes in the PHQ-8 score significantly affected (φ=−0.07, P Conclusions Several phone-derived mobility features have the potential to predict future depression, which may provide support for future clinical applications, relapse prevention, and remote mental health monitoring practices in real-world settings.

Increasing research uses intensive longitudinal designs to examine antecedents and consequences associated with dynamic affective processes. These studies often rely on the Positive and Negative Affect Schedule (PANAS) to measure affect. Studies assessing the structure of the PANAS are largely cross-sectional in nature and cannot always disentangle within-person variability from between-person differences in affect. A paucity of studies examines structural similarities and differences in affect at the between and within-person levels, and few have done so with short-form versions of the PANAS. This study investigates the multilevel factor structure of the 10-item PANAS–short-form in a sample of young adults (n = 272) measured daily consecutively over 1 month. Additionally, dynamic relations between positive and negative affect, depressive symptoms, stress, and physical symptoms were examined. Results support a three factors within and two factors between multilevel structural model. Distinct dynamic relations were observed among positive affect, negative affect, stress, and physical symptoms at the within level. Positive and negative affect were correlated with depressive symptoms, stress, and physical symptoms at the between level. Findings indicate the need to disentangle structural components of positive and negative affect when conducting intensive longitudinal studies to examine correlates linked to dynamic affective processes.

The trait-state-occasion model (TSO) is a popular model within the latent state-trait theory (LST). The TSO allows distinguishing the trait and the state components of the psychological constructs measured in longitudinal data, while also taking into account the carry-over effects between consecutive measurements. In the present study, we extend a multilevel version of the TSO model to allow for the combination of fixed and random situations, namely the mixed-effects TSO (ME-TSO). Hence, the ME-TSO model is a measurement model suitable to analyze intensive longitudinal data that allows studying the psychometric properties of the indicators per individual, the heterogeneity of psychological dynamics, and the person–situation interaction effects. We showcase how to use the model by analyzing the items of positive affect activation of the crowdsourcing study HowNutsAreTheDutch (HoeGekisNL).

Frontiers in Education, 6(714495), Dynamic structural equation modeling was applied to examine feelings of competence and in the moment motivation among pre-service science teachers (N = 101) enrolled in a course on practical biology during their second semester. The student teachers completed a short questionnaire 18 times, and the interaction between their feelings of competence and momentary motivation over time was examined in relation to control-value theory. The autoregressive values of both variables were significant, and a pattern was observed of low competence at the beginning of the course session, combined with low motivation in the moment. Feelings of competence increased by the end of each course session but returned to a low level at the beginning of the next session. Momentary motivation followed this back-and-forth shifting somewhat but showed more carryover effects. The student teachers’ motivation depended on their feelings of competence from the previous moment in the biology course session, but feelings of competence did not depend on their motivation.

Dysfunctional behaviors are conceptualized as maladaptive affective coping attempts in borderline personality disorder (BPD). The recent benefits-and-barriers model extended the affective function assumption by adding self-esteem as a barrier to engaging in dysfunctional behaviors. Patients with BPD ( N = 119) carried e-diaries to report their current self-esteem, emotional valence, tense arousal, and whether they engaged in dysfunctional behaviors 12 times a day for 4 days. Dynamic structural equation modeling revealed that on the within-person level, high momentary negative affect predicted dysfunctional behaviors, and on the between-person level, low trait self-esteem predicted dysfunctional behaviors. We also found an association between engaging in dysfunctional behaviors and momentary self-esteem and trait levels of valence and tense arousal. Moreover, our results indicate a deterioration of, rather than relief from, negative affective state after dysfunctional behaviors. These findings highlight the importance of emotion-regulation skills and reestablishing a positive self-view as important treatment targets to reduce dysfunctional behaviors in BPD.

Emerging adulthood is often overlooked as a developmental time period critical to shaping future health outcomes. Recurrent pain is a commonly experienced health concern within this age group, particularly headaches and low back pain, and early experiences of recurrent pain are related to subsequent chronic pain and disability. Furthermore, adults from marginalized populations report more frequent and severe recurrent pain. Many studies have demonstrated the therapeutic effect of physical activity on pain relief, however, others have demonstrated that physical activity can also exacerbate pain symptoms. Therefore, the current study aimed to (1) assess a bidirectional relationship between reported pain and engagement in physical activity among an emerging adult sample (N = 265) and (2) determine whether sociodemographic factors moderate this relationship. Using longitudinal daily reported pain and ActiGraph monitor data collected over two weeks, a novel dynamic structural equation modeling approach was employed. Results indicated no significant cross-lagged relationships between pain and physical activity, and no significant moderation effects. These findings suggest that a bidirectional relationship does not exist among a diverse college sample of emerging adults even after considering sociodemographic moderators. Excellent retention and few missing data suggest that using accelerometers and daily diaries are feasible methods to collect data in this population. Sample considerations and future analytical approaches are discussed.