Behavioral Sciences最新文献

Conversational systems based on large language models (LLMs) are being increasingly used as advisors in mental health and self-regulation contexts, yet causal evidence remains limited about whether such guidance strengthens human agency rather than shifting responsibility to the system. We propose a dual framework in which the advice style reflects two dimensions, namely a structural stance (power distance) and a relational stance (psychological safety). In an online vignette experiment in China (N = 980), participants sought job search guidance from an LLM and read either a baseline reply or one of eight discourse variants, while holding the advice content constant. Relative to the baseline, a low power distance and a high psychological safety increased the self-efficacy, whereas a high power distance and a low psychological safety decreased it. Combination conditions revealed an asymmetric constraint: when the power distance was high, the self-efficacy declined even when the psychological safety was high, suggesting that authority allocation can override relational reassurance. Mediation analyses showed that the perceived self-control accounted for 26.3% of the low power distance effect and perceived belongingness accounted for 40.9% of the high psychological safety effect, with no cross-mediation. Although mental health outcomes were not directly measured, our results position conversational stances as actionable levers that shape self-efficacy and agency-related mechanisms, which are critical for persistence and adherence in mental health-relevant behavior change.

Youth with neurodevelopmental disorders (NDDs) face an increased risk of trauma compared to their peers without NDDs, often leading to challenging behaviors such as self-injury, aggression, and property destruction. However, limited research exists on the behavioral profiles and treatment outcomes of youth with both NDDs and trauma. This study examines a sample of 21 youth with NDDs and trauma admitted to a specialized psychiatric unit in the Rocky Mountain region of the United States. A retrospective review of health records and admission data identified the most common target behaviors: negative vocalizations (95%), property destruction (62%), elopement (52%), and aggression (43%). Functional analyses indicated that escape was the most prevalent behavior function identified (43%), while 29% of the analyses yielded undifferentiated outcomes. Behavior analytic treatment packages incorporating differential reinforcement resulted in an average of 72% reduction from the baseline target behaviors. The average Pediatric ACEs score was 5 out of 10. The findings highlight the key behavioral patterns in this population and underscore the need for further research on effective interventions.

The rapid diffusion of Artificial Intelligence (AI) is transforming job characteristics, raising important questions about how to implement these technologies in organizations in ways that support employee well-being and performance. Drawing on the High-Involvement Management framework, this study examined employee-centered Artificial Intelligence implementation (ECAII) practices (defined as transparent communication, consultation, and training initiatives) as strategic levers to foster positive employee outcomes during Artificial Intelligence-driven transformations. Survey data were collected from 168 Italian white-collar employees who actively used Artificial Intelligence in their work. Structural equation modeling was employed to test direct and indirect relationships among employee-centered Artificial Intelligence implementation practices, work meaningfulness, job satisfaction, and job performance, as well as the moderating role of personal attitudes toward AI. Results showed that employee-centered Artificial Intelligence implementation practices had significant direct effects on both job satisfaction and performance, as well as indirect effects through work meaningfulness. Latent moderated mediation analyses further revealed that these indirect effects were stronger among employees with more positive attitudes toward Artificial Intelligence. Overall, the findings highlighted the importance of employee-centered strategies for enhancing meaningfulness and fostering positive outcomes during technological change. This study contributed to Human Resource Management (HRM) and meaningful work research by extending classic theoretical frameworks to Artificial Intelligence-enabled workplaces. Furthermore, from a practical perspective, our findings provided valuable guidance for organizations by highlighting the importance of transparent communication, employee involvement, and targeted training in reducing uncertainty and helping employees perceive their roles as relevant during the implementation of Artificial Intelligence.

Digital retailing increasingly relies on short-form video advertising where human and AI presenters coexist, requiring consumers to form rapid social judgments based on minimal perceptual cues. This research examines how presentation format shapes consumer responses through perceived creator responsibility and effort, and how viewer-inferred privacy concern moderates these effects. Drawing on social cognition, deindividuation, and heuristic-cue perspectives, two online experiments (N = 656; N = 769) compared a human presenter with captions-only and with an AI avatar in retail-product video scenarios. Across both studies, the presence of a human presenter enhanced attitudes toward the video, perceived usefulness, trust, and purchase intention by sequentially increasing perceived responsibility and effort, reflecting viewers' attributions of agency and motivational investment. Viewer-inferred privacy concern weakened these effects by attenuating responsibility attributions, demonstrating how contextual explanations recalibrate social judgments. The findings show that minimal human cues function as social cognitive signals of accountability in digital retail advertising. This research advances understanding of human judgment and decision making in consumer contexts and offers guidance for balancing human and AI communication under privacy-sensitive conditions.

Several immediate and distal social environmental factors work directly and indirectly with one another to contribute to multiple forms of peer victimization. Bullying is the most prevalent form of peer victimization during adolescence; however, peer victimization typically takes the form of indirect aggression during young adulthood. Therefore, we examined how perceptions of school and neighborhood income inequality worked through perceptions of school climate, neighborhood violence, and neighborhood distrust to predict retrospective adolescent bullying victimization and current young adulthood indirect peer victimization. In a cross-sectional sample of 460 young adults (M_age = 20.2, SD_age = 2.18; 59.6% women; 40.4% men; 51.6% White), path analyses revealed that higher school income inequality indirectly predicted higher levels of bullying and indirect peer victimization through lower school climate. Higher neighborhood income inequality also indirectly predicted higher levels indirect peer victimization through higher neighborhood violence. Our findings highlight the importance of targeting adverse environmental risk factors to prevent and intervene in multiple forms of peer victimization across development.

Parental practices strongly influence offspring development, and parental alcohol use may affect parenting behavior. However, most studies have focused on child-related outcomes. This review instead examined associations between parental drinking and parenting practices. Following PRISMA guidelines, a systematic search in MEDLINE, PsycINFO, Embase, and Scopus identified 9053 articles. Of these, 222 full texts were screened by two reviewers, and 77 were included for critical appraisal. After quality assessment, 68 studies published between 1991 and 2026 were reviewed. Studies were included if they (i) measured parental alcohol use as a predictor and parenting practices as an outcome, (ii) involved offspring under 20 years, (iii) had a quantitative design, (iv) were peer-reviewed and published in English, and (v) excluded pregnancy measures and alcohol/parenting treatment interventions. Parenting factors (e.g., parent-child relationship, monitoring, communication, discipline, conflict, abuse) were categorized and grouped into general and alcohol-specific practices. Parental drinking was categorized into alcohol use disorders (AUD) and non-dependent alcohol use. Sixty-four studies reported at least one significant association between parental drinking and poorer parenting practices. Mixed results were observed for non-dependent drinking and alcohol-specific parenting. Some associations varied with parental gender. Overall, different drinking patterns appear to be linked to impaired parenting quality. Despite being the most common pattern of alcohol use, non-dependent drinking remains understudied in parenting research. The present review highlights several critical gaps in the literature, particularly regarding the relationship between non-dependent drinking, maternal AUD, and parenting practices. Moreover, contextual factors, such as socioeconomic status and gender differences, are insufficiently explored, limiting the understanding of heterogeneity in risk and outcomes. Future research would benefit from employing robust longitudinal designs and expanding geographical representation, in order to capture variation across sociocultural contexts and enhance the generalizability of findings.

The aim of this study was to examine the contingencies involved in the stress process in university students by identifying evidence obtained through conditional process analyses. A systematic scoping review of mixed study designs was carried out following the methodological framework of Arksey and O'Malley and PRISMA-ScR guidelines. PubMed, Web of Science, Scopus, Redalyc, and Wdg. Búsqueda were searched for original studies published in full through August 2025 that reported conditional process analysis with stress as the outcome. After screening 1033 records, a total of 30 articles met the inclusion criteria. The main perspectives used in the included studies involved individuals' beliefs about themselves and their future, highlighting the importance of personal resources and their relationship to perceived stress. The studies show a clear predominance of mediation analysis (25/30) over moderation analyses (2/30), along with limited inclusion of physiological (3/30) or multimodal measurements (1/30). Our synthesis provides a basis for advancing the understanding of the stress process in university students, indicating eight general perspectives of study to account for the intervening variables: standards for oneself, motivation, cognitive content, repetitive negative thinking, self-regulatory psychological resources, current status, social resources and environmental demands, and coping orientation.

Craving for mobile phone use is increasingly discussed as a relevant feature of problematic engagement with digital technologies. This population-based study of 1601 Spanish adults examined psychological factors (impulsivity traits and affective symptoms) and behavioral correlates linked to mobile phone craving. Primary outcome: Mobile phone craving scale (MPACS). Secondary analyses: Associations between craving and impulsivity, anxiety, depression, Internet Gaming Disorder (IGD), gambling severity, and alcohol use. Craving measured with the MPACS was most common among younger participants (16-35 years old) and strongly related to greater daily phone use, heightened impulsivity, especially urgency and sensation seeking, and higher levels of anxiety and depressive symptoms. Among individuals who use their phones for gaming or gambling (n = 463), craving was strongly associated with IGD and gambling severity, suggesting that mobile phones may amplify involvement in these behaviors. Exploratory factor analyses consistently revealed four underlying dimensions-Reactive Impulsivity, Cognitive Impulsivity, Negative Emotions, and Addictive Behaviors-each contributing differently depending on craving intensity. Logistic regression analyses showed that anxiety, impulsivity, phone-use duration, and IGD scores independently predicted high craving levels. Overall, the findings highlight mobile phone craving as a clinically meaningful, multidimensional construct tied to emotional dysregulation and behavioral addiction. Assessing craving may help identify individuals at heightened risk for problematic technology use and related psychological difficulties.

Background: Insufficient physical exercise is a growing public health concern in China, where only 30.3% of adults exercise regularly. Exploring the key factors associated with physical exercise participation is essential for promoting healthier lifestyles.

Method: This study utilized data from the 2021 China General Social Survey (CGSS) to apply a progressive framework of dimensionality reduction, machine learning prediction, and SHAP-based interpretability analysis. A total of 19 potential factors were considered, with LassoCV used for feature selection and multiple models constructed for comparison.

Results: The SVM model showed the best predictive performance. SHAP analysis revealed that watching sports events, household registration, educational attainment, subjective well-being, smoking, age, sleep quality, social activities, and residence suitability for physical exercise are the most important factors influencing participation. Higher education, greater subjective well-being, urban residency, frequent sports viewing, and residence suitability for physical exercise were positively associated with participation, while smoking and poor sleep quality were negatively associated with it.

Conclusion: This study highlights the value of combining machine learning with interpretability methods to uncover the key predictors of physical exercise. The findings provide new evidence on the social, psychological, and environmental factors associated with Chinese adults' exercise behavior, offering insights for targeted health promotion strategies.

Given the burgeoning interest in second language willingness to communicate (L2 WTC) in the context of second language acquisition (SLA) within online learning environments, and the current lack of systematic reviews on the topic, this study employed the PRISMA framework to conduct a comprehensive review of empirical research from January 2010 to March 2025. Through an analysis of 13 examined studies, this review synthesizes key determinants of online L2 WTC into an integrated framework comprising three interrelated dimensions: intrapersonal (e.g., trait-like affective variables and cognitive variables), mediating (state-like affective, cognitive, and interactional variables), and situational (teacher supports and online learning activities). The findings notably highlight the concentrated research attention in Asian contexts and variability in measurement approaches, while underscoring the need for more experimental, idiodynamic, and longitudinal designs to better understand the dynamics of L2 WTC in digital settings. This review identifies critical methodological gaps, offering a clearer foundation for future research in technology-mediated second language acquisition.