Forecasting turbulence: Evidence of affective projection biases in momentary predictive fluctuations using dynamic structural equation modelling.

Neural evidence for the influence of cognitive control by facial emotion under varying task difficulty in individuals with borderline personality disorder traits.

A multidimensional exploration of negative emotions during undergraduate thesis writing: Evidence from English majors in China.

Understanding how day-to-day emotional dynamics indices predict mental health and academic outcomes during adolescence is important, as this developmental stage represents a critical period for emotional and cognitive development. 179 adolescents (44.13% males, Mage=12.80±0.41) at baseline participated in a two-year longitudinal study. Positive and negative affect were assessed daily via ecological momentary assessment, for 2weeks every 6months, over two years. Depressive and anxiety symptoms were measured during the same timepoints and academic performance was measured at baseline and two years later. Emotional dynamics were derived from the affect data collected during the first 18months and used to predict the mood outcomes and academic performance at the 24-month follow-up. Collectively, positive affect dynamics indices predicted depressive (p=.001, ∆R2=14.3%) and anxiety symptoms (p=.019, ∆R2=10.0%), and negative affect dynamics indices predicted anxiety symptoms (p=.002, ∆R2=14.7%). Specifically, higher positive affect intensity predicted lower depressive (p<.001, ∆R2=10.9%) and anxiety symptoms (p=.001, ∆R2=8.1%), and higher negative affect intensity predicted higher anxiety symptoms (p=.046, ∆R2=3.2%), but not depressive symptoms. No significant effects of emotional dynamics on future academic performance were found. Across timepoints, more intense positive daily affect predicted lower depression and anxiety symptoms, while more intense daily negative affect predicted higher anxiety symptoms, but not depressive symptoms, highlighting the importance of daily positive affect intensity as a potential protective factor for adolescent mental health.

The influence of teachers' criticism styles on students' intention to improve disruptive classroom behavior: A dual-mediation model of negative academic emotions and teacher-student relationship.

Research has underscored the importance of parental responses to children's negative emotions (PRCNE) in adolescents' socioemotional development. However, many existing studies relying on regression or structural equation modelling tend to examine different types of PRCNE separately, rather than modelling their interrelations as parts of an interconnected system. To address this, this study utilised the network approach to examine the roles of various types of PRCNE in Chinese adolescents' socioemotional development with data from 477 Chinese adolescents (Mage = 13.62 years, 50.73% male). Analysis of PRNCE networks revealed that both maternal and paternal networks exhibited connections among different types of responses. In both maternal and paternal networks, punitive responses had the highest centrality. Analysis of bridge networks connecting PRCEN and adolescent emotional/social outcomes showed that parental responses related to adolescents' emotional and behavioural development differed based on the parent's gender. Bridge analysis showed both paternal and maternal person-minimisation were most central for emotional outcomes, while paternal problem-focussed and maternal emotion-focussed responses were key for adolescent social outcomes. In conclusion, this study revealed gender-specific patterns in how various parental responses are interconnected and associated with adolescents' emotional and social outcomes, underscoring the importance of culturally informed, parent-specific approaches in research and practice.

Perceptions of negative reinforcement in the natural environment: Characterizing subjective alcohol- and cannabis-contingent relief.

This meta-analysis examines the bidirectional within-person association between sleep and affect using data from 118 studies. Focusing on intensive longitudinal designs such as daily diaries and ecological momentary assessments, this meta-analysis examines how daily variations in sleep, measured via subjective and objective methods, are associated with fluctuations in positive and negative affect. Results show small-to-moderate within-person correlations, with better subjective sleep quality and longer sleep duration predicting improved next-day affect. Conversely, more positive affect and less negative affect during the day were modestly associated with better subjective sleep quality but not total sleep time. The within-person correlations were generally stronger when aspects of sleep were self-reported rather than objectively measured, highlighting the importance of perceived sleep experiences. These findings were largely consistent across age groups and health status, suggesting that the relationship between sleep and affect may be universal. Overall, this study underscores the psychological significance of everyday sleep-affect dynamics.

Influences of high-definition transcranial direct current stimulation (HD-tDCS) and cognitive reappraisal on emotions and aggression following social exclusion.

Maternal touch in the first three years contributes to depression and antisocial behaviors in late childhood.

Testing whether established risk factors for future eating disorder onset predict future overweight/obesity onset: A prospective study.

Impact of optimism training on atherosclerotic biomarkers in coronary artery disease: A randomized controlled trial.

Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

Although the relationship between personality and aspects of emotional experience have been investigated from a variety of different perspectives, little research has been conducted on personality traits and the affect intensity of autobiographical memories (AMs). To fill this gap, the present study examined the association of the Big Five personality traits with the positive and negative affect intensity of positive and negative AMs using multilevel multiple regression. Participants (N = 1275; 18-53 years) completed the short form of the Big Five Inventory (BFI-K) and reported AMs of three positive and three negative events. Next, participants rated the negative and positive affect intensity of each event separately on a 7-point Likert scale. Neuroticism was associated with less positive and more negative affect intensity of both positive and negative AMs. Extraversion showed the opposite pattern with respect to positive AMs, and agreeableness with respect to negative AMs and the negative affect intensity of positive AMs. Openness was associated with a higher positive affect intensity of positive AMs and conscientiousness with a higher positive affect intensity of negative AMs. Results are discussed in relation to previous empirical evidence and theoretical considerations of the associations. The present study extends previous research by demonstrating that all Big Five traits relate to the affect intensity of individuals' AMs.

Extroversion and emotional well-being in unstructured compared to structured preschool environments: Three case studies.

Effect of diary intervention on sleep quality and risk of stress disorders among critically ill children in pediatric intensive care units and on their parents' anxiety level: A randomized controlled trial.

Rumination, characterized by persistent, repetitive focus on negative thoughts or emotions, has long been implicated as a central transdiagnostic process in Major Depressive Disorder (MDD). Although many studies have examined the rumination-depression temporal relationship, findings vary depending on design, measurement, and analytic approach. The present study applies a multiscale, data-driven framework to describe how rumination and depressive symptoms unfold across different temporal modes. Using Empirical Mode Decomposition (EMD) and Granger causality in two longitudinal ecological momentary assessment (EMA) datasets, we examined predictive associations at fast, medium, and slow timescales. Our analyses used two high-frequency EMA datasets: (1) 39 adults providing four daily reports of rumination and depressive symptoms across 40 days, and (2) 40 adults providing four daily reports across two weeks that included five rumination dimensions (perseveration, negativity, self-criticism, replaying, brooding) and baseline depressive symptoms. Across both datasets, the most consistent patterns appeared at slower timescales, where rumination and depressive symptoms showed bidirectional associations even after accounting for individual mean levels. Faster and cross-scale influences were detectable but sparser and varied across dimensions. Network controllability analyses suggested that both slow and fast components shape overall system behavior, although these interpretations remain preliminary. Taken together, these findings demonstrate how a multiscale analytic approach can complement existing methods by describing temporal heterogeneity within the association between rumination and depression. While the findings align with cognitive models emphasizing enduring ruminative tendencies, they generate hypotheses about how different temporal patterns may relate to persistent versus momentary components of depressive experience.

Repeated assessments in everyday life allow for ecologically valid data on dynamic, within-person stress processes. However, typical designs offer little information on the immediate shape of affective responses following daily stressors, including the influence of situational and person-level variables. In a combined clinical and community sample (N = 248; recruited between 2016 and 2018), we employed a high-density intensive-longitudinal protocol (observations N = 1,442) to capture the temporal dynamics of affect in response to daily stressful events using a microburst design. Specifically, we implemented an adaptive signal-contingent schedule, where an initial stressor report triggered an intense burst of prompts in 15-min increments over the course of 1 hr inquiring about momentary affect. To model affective microtrajectories, we used multilevel structural equation modeling. A piecewise linear growth model consistently showed the best fit across all indices for both negative and positive affect. Affective responses to momentarily experienced stressors were best captured by a model that allowed for changes in affect trajectories over time (an initial steep decline/increase followed by gradual change), with more stressful situations amplifying these trajectories. Moreover, extraversion significantly influenced the initial rise in positive affect, leading to more pronounced early changes in those with higher levels of extraversion. In contrast, neuroticism had an opposite effect on positive affect, dampening these early changes. Results offer a detailed understanding of daily stress dynamics by providing insights into the immediate and evolving nature of affective responses to stress, with implications for personalized stress management strategies. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Pain is more memorable than pleasure? Examining how social sharing of negative emotions constructs memorable dark tourism experiences

Brand hate and consumer resistance behaviors in the fast food industry: Evidence from Vietnam.