Proactive career behaviors facilitate the transition from student to employee, and understanding the mechanisms behind their development is crucial for informing strategies that promote these behaviors. The literature indicates that the development of proactive career behaviors has been investigated in several studies; however, most of these studies employed a cross-sectional research methodology, thereby limiting the ability to draw robust causal inferences. This study is to investigate the mediating function of students' career adaptability in the relationship between psychological flexibility and proactive career behaviors throughout a longitudinal framework. The research involved 310 Turkish university students using convenience sampling. A two-wave cross-lagged panel model was tested within a structural equation modeling framework to examine cross-lagged effect among the variables over time. The findings indicated that students' career adaptability significantly mediated the longitudinal relationship between proactive career behaviors and psychological flexibility. It shows that interventions designed to enhance psychological flexibility and career adaptation within career counseling services can effectively boost students' proactive career behaviors. When assessed by human resources specialists, graduates with high psychological flexibility and career adaptability may exhibit more proactive and adaptable career behaviors, emphasizing the importance of including these attributes in recruitment processes.

Prior empirical evidence supports the close association between problematic social networking sites use (PSNS) and online aggressive behavior (OAB). However, few studies have examined the potential symptom connection between these two issues as part of a multidimensional mechanism. The current study aims to explore the underlying network structure between PSNS use and OAB and conduct a simulated intervention using the NodeIdentifyR algorithm (NIRA), taking gender into account to further inform the implementation of intervention measures. A total of 1325 participants completed questionnaires that assessed SNS addictive tendencies and online aggression. The symptom-specific intervention simulation analysis was conducted to clarify which symptoms can alleviate or exacerbate the overall performance of PSNS and OAB. Findings indicated that there were significantly different symptom connections in both groups, with no symptom linked to the two behaviors in the male group, while “insomnia” and “instrumental overt aggression” linked the two in the female group (p < 0.05). In addition, “dual existence” may be the most effective alleviating intervention target for both groups (NIRA = 1.34 for males and NIRA = 1.44 for females). Besides, “virtual friend anxiety” and “online relationship satisfaction” should be considered separately for preventive care when dealing with males (NIRA = 1.07) and females (NIRA = 1.37). The findings offer significant implications for gender-specific strategies to alleviate PSNS use and OAB linkage.

Adolescent mental health is foundational to personal development, yet it faces escalating challenges globally. While traditional assessment methods lack objectivity and ecological validity, integrating computer-assisted technology (CAT) into performance-based assessments (PBAs) offers a promising pathway. This review, following the PRISMA-ScR reporting standard, analyzed 89 articles (2015–2025) to map the assessed components, CAT applications, and scenario diversity in mental health PBAs. Analysis revealed a research emphasis on mental disorders, with critical domains for adolescent development remaining significantly understudied. CATs significantly enhanced PBAs through data analysis, data acquisition, scenario creation, and tool digitization. PBA scenarios are diverse, demonstrating the adaptability of PBAs for multidimensional mental health assessment. Prioritizing the design of PBAs for social–emotional and adaptive assessment is critical for the early identification of adolescent mental health issues. Furthermore, advancing predictive analytics and leveraging large language models for feedback generation are promising ways to unlock CAT's potential in enhancing PBAs. Importantly, integrating and adapting scenarios from validated scales by CATs into PBAs could further enhance assessment typicality and reliability.

Despite years of research, the links between domain-general and domain-specific anxieties (e.g., social), as well as their links with academic performance in different domains remain poorly understood. The current study explores anxiety-academic performance associations across eight domain-general and domain-specific anxiety measures (tapping into trait, state, maths, spatial, and social anxiety, worry, and anxiety sensitivity, as well as symptoms of Generalized Anxiety Disorder, GAD) and 13 school subjects in a large (N = ~800) sample of schoolchildren (M_age = 15.26), selected for high achievement in STEM, Arts, Sports, and Literature. Our data showed that all anxiety measures load onto single general anxiety factor, explaining 51% of variance; and suggesting substantive amount of unique variance in each measure. Regression analysis showed that domain-general anxiety (e.g., trait anxiety and GAD symptoms) did not explain much variance in academic outcomes, while domain-specific anxiety explained variance in respective domains. For example, maths anxiety was linked with Algebra and Geometry performance. The results demonstrated that the negative link between anxiety and performance is present even in adolescents with high academic achievement (i.e., adolescents with high achievement in STEM) and this link is of small-to-medium effect size. Interestingly, worry scale correlated positively with performance after controlling for other anxiety measures, probably reflecting this measure tapping into some motivational and/or arousal aspects of anxiety. The study provides new insights into anxiety-performance links that can be used for further development of measures and educational interventions.

This study integrates emotion and decision-making theories in consumer finance to examine how integral emotions (emotions induced by the decision-making process) shape risky choices. The purpose of the study is to investigate how integral emotions, specifically anticipatory (felt before deciding) and anticipated (predicted post-outcome) emotions, work in parallel to influence risky behavior. Unlike prior work that isolated a single emotional pathway, this research offers novelty by modeling both emotional pathways as parallel mechanisms induced by anticipated outcomes, and by quantifying their direct and indirect effects within the same model across two financial contexts. A sample of 640 Indonesians (aged 21–35; 61% female) viewed audiovisual vignettes for “Buy Now Pay Later” (BNPL) and “Online Loan,” then rated perceived future gain/loss (anticipated outcome), the intensity of anticipated and anticipatory emotions, risk perception, intention to use the financial schemes, and completed the risk propensity scale. Path analyses showed that anticipated outcomes robustly elicited both emotion types, and that direct effects of both emotions on risky intention exceeded indirect effects in both contexts. These findings demonstrate that integral emotions influence risky financial intention directly and in parallel, underscore the value of jointly modeling anticipatory and anticipated emotions in risky decision-making.

fNIRS-based hyperscanning showed increased inter brain synchronization in DLPFC and pars triangularis during joint anticipation versus rest in table tennis doubles, suggesting a neural basis for efficient player cooperation.

This systematic review and meta-analysis examined evidence from randomized controlled trials (RCTs) on the effects of dance interventions on quality of life (QoL) in women with breast cancer. Twelve RCTs were included, and pooled effect sizes were calculated as standardized mean differences (SMDs) with 95% confidence intervals (CIs). Compared with controls, dance interventions significantly improved QoL (SMD [95% CI] = 0.62 [0.20, 1.05], p = 0.004) and reduced depressive symptoms (SMD [95% CI] = −0.81 [−1.50, −0.12], p = 0.02). Subgroup analyses indicated that these effects were primarily driven by dance-based physical activity (DPA), particularly in interventions lasting ≥ 12 weeks. No overall effects were found for fatigue, pain, or body image, although modest fatigue reductions were observed in DPA programs ≥ 9 weeks. Dance interventions integrating physical activity, emotional expression, and social interaction may enhance QoL and psychological well-being in women with breast cancer, although evidence for improvements in physical symptoms remains limited. Further research should standardize intervention protocols and assess long-term outcomes.

Dementia caregiving imposes substantial emotional, physical, and financial burdens, underscoring the urgent need for scalable and accessible support interventions. This systematic review evaluates the role of mobile health (mHealth) applications in enhancing caregivers' self-regulation, with a particular focus on the monitoring component, and their impact on caregivers' burden and wellbeing. Twenty-four studies published between 2019 and 2025 were reviewed, analyzing intervention models, the presence and implementation of monitoring strategies, and overall app efficacy. The findings reveal a variety of mHealth approaches, including psychoeducational tools, social and peer support features, and mindfulness-based therapies. Monitoring mechanisms—such as behavior tracking, emotional self-assessments, reflective prompts, and chatbot-based feedback—emerged as pivotal elements for activating the self-regulation process. These tools supported caregivers in recognizing stressors, evaluating caregiving strategies, and making adaptive changes, thereby enhancing emotional resilience and caregiving efficacy. However, persistent challenges such as declining user engagement and variability in digital literacy highlight the need for more adaptive, user-centered designs. This review emphasizes the transformative potential of mHealth monitoring in dementia caregiving and calls for future research to standardize evaluation metrics, personalize interventions, and promote long-term engagement and accessibility for diverse caregiver populations.

Likhanov, M., E. Alenina, T. Bloniewski, X. Zhou, and Y. Kovas. 2026. “Anxiety and Performance in High-Achieving Adolescents: Associations Among 8 General and Specific Anxiety Measures and 13 School Grades.” PsyCh Journal 15: e70088. https:/doi.org/10.1002/pchj.70088.

In the originally published version of this article, the author names were incorrectly presented with the surname preceding the given name. As a result, the author names were displayed incorrectly in several locations within the article.

The following sections have been corrected.

Author byline

The author byline should read:

Maxim Likhanov¹ | Evgenia Alenina² | Tomasz Bloniewski³ | Xinlin Zhou⁴ | Yulia Kovas⁵

Correspondence

The correspondence information should read:

Correspondence: Maxim Likhanov (maksim.likhanov@univ-amu.fr)

Equal contribution footnote

The equal contribution statement should read:

“Maxim Likhanov and Evgenia Alenina contributed equally to this study.”

These errors have been corrected in the online version of the article.

We apologize for these errors.

Anhedonia, a transdiagnostic symptom for schizophrenia and depression, exists in subclinical individuals at risk of the two disorders. Prior meta-analytic reviews seldom considered both anticipated pleasure and anticipated displeasure. We conducted a three-level meta-analysis on anticipated pleasure and displeasure in people with schizophrenia and depression, and their subclinical counterparts. Clinical and subclinical individuals of the schizophrenia spectrum reported less anticipated pleasure than controls (k = 37, 1464 participants, g = −0.22, p = 0.032), but reported similar anticipated displeasure as controls (k = 20, 769 participants, g = 0.09, p = 0.345). Clinical and subclinical individuals of depression anticipated less pleasure (k = 21, 1162 participants, g = −0.62, p = 0.003) and more displeasure (k = 15, 954 participants, g = 0.82, p = 0.033) than controls. Comparisons of the schizophrenia and depression samples yielded no significant difference for effect sizes of either anticipated pleasure or anticipated displeasure. For schizophrenia spectrum, heterogeneity of anticipated pleasure was explained by sociality of anticipated stimuli. For participants with depression, higher severity of depressive symptoms were associated with larger between-group effects on anticipated pleasure and displeasure. After accounting for publication bias, the between-group effects remained of a similar magnitude. We elucidated the patterns of impaired anticipated emotions in clinical and subclinical samples of the schizophrenia and depression. Social anticipated pleasure may be a potential screening target for schizophrenia, while impaired anticipated emotions may serve as a marker for depression.