Loading...
ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

Current Issue

    For Selected: Toggle Thumbnails
    Conceptual Framework
    Exploring the impact of focus back effort training on mind wandering and its mechanisms
    HE Hong, ZHANG Xinyue, SHI Jinghong, LIU Qiang
    2025, 33 (7):  1077-1090.  doi: 10.3724/SP.J.1042.2025.1077
    Abstract ( 197 )   PDF (1732KB) ( 319 )   Peer Review Comments
    Humans spend a significant amount of time engaged in mind wandering. While it is a common cognitive state, it is often seen as a hindrance to productivity and daily functioning. Minimizing its frequency is crucial for maintaining focus and efficiency in academic, professional, and personal life. This study is grounded in the resource control theory of mind wandering and the dynamic framework model, proposing that focus back effort reflects executive control and the intentional constraint of thought. Specifically, resource control theory emphasizes the role of executive control in reducing mind wandering. Focus back effort training enhances this process by lowering the depletion of executive control resources, thereby minimizing the extent to which mind wandering consumes task-related resources. The dynamic framework model, on the other hand, highlights both automatic and intentional constraints on thought. Focus back effort represents intentional constraint, and training reduces the reliance on such deliberate control, making thoughts more likely to automatically return to the task at hand, ultimately decreasing mind wandering. The method of using focus back effort training to reduce the frequency of mind wandering is beneficial to make up for the resource consumption caused by the de-automation of mindfulness training. From the perspective of cognitive intervention, combined with brain imaging methods, this paper intends to conduct research in the following three aspects. Firstly, behavioral experiments and task-state magnetic resonance imaging data are used in the laboratory to explore the effectiveness of the intervention of focus back effort training on mind wandering and task performance and to reveal its cognitive neural mechanism. Secondly, the laboratory research was extended to life situations to investigate the effects of focus back effort training in life situation. Finally, the research explores the effect of focus back effort training on classroom mind wandering and academic performance of primary and middle school students.
    Resource control theory focuses on the irrelevance of task-unrelated content, while the dynamic framework model emphasizes the fluid transition between different mental contents. This study proposes that focus back effort embodies key elements of both theories: executive control from resource control theory and thought constraint from the dynamic framework model. Both executive control and thought constraint are considered higher-order structures of mind wandering. Investigating the effects of focus back effort training on mind wandering can help validate the hierarchical nature of these two theories. Furthermore, by employing multimodal research methods to effectively reduce the frequency of mind wandering across different contexts, this study not only provides robust empirical support for and extends these theoretical frameworks but also facilitates the integration of static and dynamic perspectives. Ultimately, this contributes to a more comprehensive understanding of the mechanisms underlying mind wandering.
    Beyond these contributions, this study presents several key innovations:
    First, it pioneers the intervention of mind wandering through psychological factors, a novel approach proposed by our research team. While previous studies have primarily focused on correlational findings, this study advances the field by developing a focus back effort training paradigm and conducting longitudinal intervention research to establish causal relationships, thereby extending prior work. Second, it integrates behavioral experiments with functional magnetic resonance imaging studies, conducting research both in controlled laboratory settings and ecologically valid real-life contexts. This dual approach ensures that the findings are not only scientifically rigorous but also broadly applicable, offering new insights for future research in mind wandering and consciousness. Finally, as mind wandering is a pervasive phenomenon in daily life, exploring its cognitive and neural mechanisms in real-world contexts provides valuable strategies for mitigating its negative impact on work and daily functioning. Moreover, applying focus back effort training in classrooms to reduce mind wandering among primary and secondary school students and enhance academic performance has significant educational implications.
    References | Related Articles | Metrics
    The mechanism and intervention of low-frequency fluctuations of sustained attention
    WANG Yifeng, TANG Yuzhu, XIAO Kunchen, JING Xiujuan
    2025, 33 (7):  1091-1103.  doi: 10.3724/SP.J.1042.2025.1091
    Abstract ( 134 )   PDF (3553KB) ( 157 )   Peer Review Comments
    Sustained attention refers to the ability to maintain attention on particular stimuli or cognitive tasks over time. However, attention levels fluctuate over time, which can impede ongoing cognitive processes. Even an ephemeral lapse in attention can lead to numerous negative effects,such as dropped academic performance, work-related errors, and even safety hazards. The typical development of sustained attention, along with its abnormal fluctuations in patients with neurological and psychiatric disorders, occur across multiple infra-slow frequencies. Several theoretical models, including resource-depletion theory, mindlessness theory, and resource-control theory, have been proposed to explain the mechanism of fluctuations in sustained attention. However, current research within these models oversimplifies the fluctuations as a mere trade-off and allocation of limited cognitive resources, thereby impeding the analysis of the complex array of cognitive components and diverse characteristics of multiple frequency fluctuations in sustained attention.
    This study aims to elucidate the cognitive and neural mechanisms underlying low-frequency fluctuations in sustained attention, by combining multi-modal techniques and noninvasive brain stimulation methods such as behavioral experiments, electroencephalogram (EEG), and functional magnetic resonance imaging (fMRI). The research comprises three specific studies.
    In Study 1, we utilized the classic gradual-onset continuous performance task (GradCPT) to integrate behavioral, physiological, and neural fluctuation characteristics in order to distinguish between different cognitive components involved in sustained attention. Our hypotheses regarding cognitive component fluctuations were formulated based on an examination of the brain's spatiotemporal characteristics linked to different cognitive component fluctuations.
    Based on the conclusions of Study 1, Study 2 delved into interventions based on low-frequency fluctuations of sustained attention components. This was achieved through the application of infra-slow wave transcranial electrical stimulation (TES) to corroborate the proposed hypotheses concerning frequency, timing, and targeted brain regions. The convergence of Study 1 and Study 2 may offer causal evidence supporting the notion that "different cognitive components exhibit distinct fluctuation characteristics. Together, these studies have collaboratively established and refined the proposed hypotheses.
    Study 3 investigated the interaction between sustained attention and attentional networks by using the High Reliability-Composite Attention Test (HR-CAT) to explore differences in sustained attention fluctuations across alerting, orienting, executive control and baseline conditions. This research aimed to extend the proposed hypotheses and improve the ecological validity and practical significance of the study.
    This study highlights several significant innovations. First of all, the study expanded the theory of attention and filled the gap in the current theory by elucidating how different components of sustained attention contribute to its slow fluctuating process. Through systematic separation of core components of sustained attention and analysis of their internal structure, we explored fluctuation characteristics driven by different cognitive components, leading to the development of the theory of sustained attentional fluctuations.
    Secondly, this study shed insight into the theory of brain function by establishing connections between specific cognitive components and the spatiotemporal structure of brain function. It established a coherent pathway from neural oscillation to cognitive fluctuation to overall fluctuation in sustained attention, unveiling the cognitive neural mechanism behind sustained attention fluctuation. By exploiting behavioral, EEG, and fMRI techniques as well as infra-slow wave TES and global spatiotemporal topology analysis, this study explored the cognitive neural mechanisms of sustained attention fluctuations from the perspective of physiological-psychological-neural coupling. In terms of methods, the study advanced research on the spatiotemporal structure of brain regions and brain networks involved in cognitive function, and contributed to the refinement of current theories of brain function. In terms of content, the study focused on infra-slow brain activity instead of traditional neural rhythms, which promotes a better understanding of the “macro fluctuation” and “slow process” of psychological activity.
    Lastly, the study enriches the field of non-invasive brain intervention by indentifying precise spatiotemporal targets for sustained attentional fluctuations. Infra-slow wave TES leverage these fluctuation characteristics to enhance sustained attention, while minimizing potential harm from fluctuations.
    To sum up, this study advances our understanding of the cognitive and spatiotemporal aspects of sustained attention, offering insights that can inform precise interventions for managing fluctuations in sustained attention. It offers novel insights into sustained attention mechanisms and brain function theories, laying the theoretical groundwork for non-invasive brain intervention strategies and mitigating attention fluctuations in clinical applications.
    References | Related Articles | Metrics
    Leader digital mindset: Conceptualization and model construction
    CHEN Chao, ZHANG Shuman
    2025, 33 (7):  1104-1119.  doi: 10.3724/SP.J.1042.2025.1104
    Abstract ( 92 )   PDF (583KB) ( 153 )   Peer Review Comments
    The question of how Chinese enterprises can break free from the “not digitalizing means waiting for death, digitalizing means seeking death” dilemma to achieve healthy development in the digital economy has become a focal point for entrepreneurs and scholars. A significant concern is that during the process of digitalization, issues such as employees resisting due to digital virtual entities “taking their jobs,” new digital technologies not aligning with organizational culture, and employees feeling monitored due to digital tools have become increasingly prominent. The underlying reason for these issues is primarily the leaders within organizations lacking basic understanding and insight into digitalization, along with insufficient ability to anticipate digital development trends. Therefore, we believe that leaders in the digital era must possess “digital mindset.”
    This study, based on current research and relevant theories, comprehensively explores the key research theme of leader digital mindset. Specifically, first, the study clarifies the definition of leader digital mindset and distinguishes its dimensions. Second, the study, using trait activation theory, explores the interaction between external situational factors and internal factors of leaders on leader digital mindset. Third, combined with the social information processing theory, this study examines the mechanism of how leader digital mindset affects team digital resilience.
    Our study has the following several theoretical contributions. First, it reveals the importance, connotations, and characteristics of leader digital mindset, laying a solid foundation for subsequent research and enhancing understanding and comprehension of leader digital mindset. Currently, the definition of digital mindset is inconsistent, with scholars mainly defining it from perspectives of ability, attitude, or behavior, and the concept and connotations of leader digital mindset are still in the exploratory stage. Therefore, this study attempts to clarify the importance of leader digital mindset and define its concept and key connotation dimensions. Specifically, by reviewing the differences between digital mindset and other types of mindset in digital contexts, it reveals that leader digital mindset encompasses both self-directed and context-directed aspects, corresponding to dimensions of digital understanding capabilities, continual improvement belief, agile responsiveness, and cooperation and sharing view, totaling four dimensions. These findings not only promote the development of the emerging research theme of leader digital mindset but also contribute to further integrating digitalization into leadership theory research literature, providing a sufficient theoretical foundation and empirical evidence for leader digital mindset, and advancing the development and application of this concept in the digital era. Additionally, this work lays the groundwork for scholars to further investigate the influencing factors and effects of leader digital mindset.
    Second, the study identifies internal and external factors influencing leader digital mindset, helping to expand antecedent research on leader digital mindset. Cultivating and stimulating leader digital mindset is gradually becoming a focus for organizations and leaders themselves. However, most enterprises are still exploring effective measures and approaches to cultivate leader digital mindset, and research on the antecedents of leader digital mindset is still in its infancy. Although scholars have explored the impact of situational factors and individual internal factors on other leader mindsets (such as leader flow thought, leader growth mindset), research on how digital situational factors and leaders' self-factors affect their digital mindset remains to be explored and validated. This study, combining real-world contexts and trait activation theory, examines the interaction between situational factors and leaders' internal factors affecting leader digital mindset. This not only provides solid theoretical guidance for leaders to consciously train their digital mindset but also offers effective guiding action plans for organizations to cultivate leader digital mindset. Furthermore, the study calls for scholars to delve deeper into the antecedents of leader digital mindset.
    Third, the study opens the “black box” of the effect of leader digital mindset on team digital resilience, expanding research on the outcome effects and mechanisms of leader digital mindset. Currently, theoretical analysis and empirical testing of the effectiveness of leader digital mindset are quite lacking. Also, no scholars have specifically discussed or verified how leader digital mindset positively affects team digital resilience and which situational factors influence the relationship between the two. This study, based upon the social information processing theory, opens the black box of the mechanism by which leader digital mindset affects team digital resilience. It first discusses the positive impact of leader digital mindset on team digital resilience. Then, it analyzes how leader digital mindset affects team psychological processes (team cognition, team emotion), thereby positively influencing team digital resilience. Finally, it explores the moderating roles of digital task characteristics and social exchange relationships in the relationship between leader digital mindset and team digital resilience. The research conclusions not only deepen the understanding of the effectiveness of leader digital mindset theoretically by examining the mechanism of its effect on team digital resilience but also aim to inspire scholars, encouraging them to further explore the effects of leader digital mindset from other theoretical perspectives.
    References | Related Articles | Metrics
    Turning resistance into assistance: A research proposal on the effectiveness and mechanism of the reverse mentoring practice in the digital transformation context
    JIANG Ping, ZONG Kuandao, ZHAO Chenhui, LONG Lirong
    2025, 33 (7):  1120-1139.  doi: 10.3724/SP.J.1042.2025.1120
    Abstract ( 59 )   PDF (745KB) ( 107 )   Peer Review Comments
    As digitalization accelerates, businesses are increasingly adopting digital transformation as a strategic imperative. However, despite its immense potential, many organizations face internal resistance, which hinders the success of digital transformation initiatives. This research proposal introduces reverse mentoring as a promising solution and explores its effectiveness and mechanisms. Unlike traditional mentoring, where senior employees guide junior colleagues, reverse mentoring positions younger employees as mentors, offering technological insights and fresh perspectives to senior counterparts.
    The research develops a theoretical framework grounded in the differentiated needs fulfillment perspective, examining how reverse mentoring addresses the distinct needs of senior mentees, young mentors, and the organization. This framework highlights the interconnectedness of these needs and demonstrates how fulfilling them contributes to successful transformation. To begin with, the research refines the definition of reverse mentoring within the digital transformation context and identifies three core functional dimensions: career support, psychological support, and role modeling. These dimensions are instrumental in ensuring that all groups benefit from the mentoring relationship, promoting knowledge sharing and fostering organizational cohesion.
    Furthermore, the research explores how reverse mentoring influences senior employees’ adaptation to digital transformation. Drawing on the Technology Acceptance Model (TAM), it argues that reverse mentoring enhances senior employees’ digital literacy, which improves their perceptions of the usefulness and ease of use of new digital technologies. This leads to more supportive attitudes and behaviors towards digital transformation. The research also explores the moderating role of senior mentees’ downward learning mindset, offering additional insights into individual differences in the adaptation process.
    Beyond its impact on senior employees, this research also investigates how reverse mentoring affects young mentors. Based on Self-Determination Theory (SDT), it suggests that reverse mentoring, by involving young mentors in the transformation process, satisfies their psychological needs for autonomy, competence, and relatedness. This, in turn, strengthens their commitment to digital transformation, ultimately fostering greater responsibility and initiative. The research further discusses how new-generation work values—such as a preference for equality and collaboration—moderate this process.
    At the organizational level, the research applies Sensemaking Theory to explore how reverse mentoring contributes to organizational resilience in digital transformation. It emphasizes that reverse mentoring strengthens cross-generational communication, aligns organizational goals, and promotes a shared understanding, ultimately enhancing strategic consensus and improving the organization’s ability to navigate digital transformation challenges. Additionally, the research examines how the intensity of management practices moderates this relationship, further enhancing organizational adaptability and resilience to change.
    This research makes several significant theoretical contributions. First, it advances the understanding of reverse mentoring by refining its definition and identifying its structure within the context of digital transformation, thereby enhancing the relevance and effectiveness of this management practices. Second, the research integrates multiple theoretical perspectives—TAM, SDT, and Sensemaking Theory—into a cohesive framework that explains how reverse mentoring addresses both individual and organizational challenges during digital transformation. The framework contributes to the theoretical literature on reverse mentoring, digital transformation, and knowledge management, offering new insights into the role of intergenerational mentoring in modern organizational contexts.
    From a practical perspective, this research provides valuable insights for organizations aiming to implement reverse mentoring programs. It underscores the importance of aligning mentoring practices with the specific needs of different stakeholders, thereby fostering a more inclusive and change adaptable organizational culture. By strategically leveraging the strengths of both younger and older employees, reverse mentoring enhances both individual and organizational adaptability, ultimately contributing to a more successful digital transformation process.
    In conclusion, this research systematically examines the role of reverse mentoring in facilitating digital transformation by addressing the differentiated needs of employees at different levels. By fulfilling these needs, reverse mentoring serves as a powerful tool to break down resistance during the digital transformation process. This research enriches theoretical understanding and offers practical guidance for organizations seeking to leverage reverse mentoring as a strategic tool for successful digital transformation.
    References | Related Articles | Metrics
    Effects of embodiment on digital empathy in virtual reality-enabled servicescape
    DENG Nianqi, TANG Yifan, FAN Xiucheng, JIANG Xinyu
    2025, 33 (7):  1140-1154.  doi: 10.3724/SP.J.1042.2025.1140
    Abstract ( 112 )   PDF (675KB) ( 379 )   Peer Review Comments
    The transformative reconstruction of servicescapes through immersive virtual reality (VR) technology has brought critical issues surrounding embodied engagement, emotional acquisition, and well-being in virtual spaces to the forefront of scholarly inquiry. This paper addresses a pivotal research gap by examining how marketer-consumer embodied engagement influences digital empathy and well-being in VR-enabled service contexts. While prior research has made significant strides in exploring VR applications in service domain, and a growing body of literature has begun investigating the relationship between embodiment engagement and empathy in virtual spaces, our comprehensive review reveals three critical research gaps that warrant further investigation in our study.
    First, the field lacks a systematic theoretical framework that explicates the mechanism through which users’ embodied engagement in virtual spaces influences digital empathy. Furthermore, the conceptualization of digital empathy within interactive VR service experiences remains inadequately defined, particularly in terms of its distinct characteristics compared to traditional empathy constructs.
    Second, existing studies predominantly rely on traditional empathy scales that were developed for real-world interpersonal contexts. Notably absent is a validated digital empathy scale specifically designed for technology-mediated environments where physical involvement is paramount. Although traditional empathy definitions share some conceptual overlap with virtual world empathy, they prove insufficient for comprehensively studying virtual interpersonal responses within technologically mediated environments. This gap highlights the need for scale development that captures the unique dimensions of digital empathy.
    Third, extant research on embodied engagement and empathy in virtual spaces predominantly employs single-scenario designs and unidimensional perspectives. This constrained methodological approach significantly limits our understanding of the synergistic interplay among service context, user heterogeneity, and marketer-consumer interaction dynamics in shaping digital empathy formation and well-being outcomes. More importantly, prior studies have not adequately addressed how these multifaceted factors collectively influence the emergence and development of digital empathy in service scenarios where such empathetic responses are most likely to occur. This oversight represents a substantial theoretical gap, as it prevents a comprehensive understanding of the complex, interdependent relationships that characterize digital empathy in technology-mediated service environments.
    Fourth, current research on embodied participation and empathy in virtual spaces predominantly adopts single-scenario and single-perspective approaches. This limited scope fails to systematically integrate the synergistic effects of service context, user heterogeneity, and marketer-consumer interaction perspectives on digital empathy formation and well-being outcomes. Specifically, prior work has not sufficiently examined how these factors collectively influence digital empathy in service scenarios where such empathy is likely to emerge.
    Building on the literature review, we propose that digital empathy emerges as a distinct construct from human-computer and social interactions in digitally mediated environments, fundamentally differing from traditional face-to-face empathy. This necessitates an updated theoretical and research framework. Existing empathy scales developed for real-world human interactions may not accurately capture users' empathy toward virtual agents and objects in digital environments. This is primarily because the digital world presents greater complexity, where user participation is subject to unique challenges arising from interaction media, servicescapes, and user perceptions that differ markedly from physical world experiences.
    Against this backdrop, our research investigates how marketer and consumer embodied participation in virtual reality (VR) service experiences influences digital empathy and well-being. The investigation unfolds across three studies.
    Study 1 aims to establish the formative conditions and dimensional structure of marketer-consumer digital empathy in virtual spaces. We propose two foundational propositions: (1) users' physical participation and (2) cognitive engagement in virtual spaces serve as prerequisite conditions for digital empathy formation. Drawing from the Interpersonal Reactivity Index (encompassing perspective-taking, fantasy, empathic concern, and personal distress), while adapting to digital contexts, we advance the necessity of developing a digital empathy scale with three core dimensions: digital perspective-taking, digital interpersonal fantasy, and digital empathic concern.
    Study 2 seeks to uncover the mechanism through which marketer-consumer embodied participation influences digital empathy in virtual spaces. Building on Study 1's dimensional framework, we posit that: (1) For marketers, embodied participation in virtual environments enhances their ability to adopt consumers' perspectives, thereby improving digital perspective-taking; (2) For consumers, embodied engagement facilitates richer interpersonal fantasy toward interaction partners; (3) For both marketers and consumers, embodied participation spontaneously generates emotional resonance with interaction partners, fostering greater willingness to express care and engage in prosocial behaviors.
    Study 3 aims to delineate the boundary conditions of the effects of marketer-consumer embodied participation on digital empathy and well-being through three key dimensions: interaction characteristics, user characteristics, and servicescape features.
    Regarding interaction characteristics, we propose that in virtual reality (VR) environments, users can interact with either computer-generated virtual agents or avatars controlled by real users, representing two distinct interaction types (human-human vs. human-computer). Within virtual scenarios, users can either imagine themselves in the situation or envision others in the same context, forming two distinct perspectives (self vs. other) of embodied participation.
    Concerning user characteristics, we posit that differences in age, demographics, and cognitive abilities may lead to variations in digital empathy. Additionally, the level of VR immersion interacts with users' self-construal. For instance, fully immersive systems, which reduce connection to the physical environment, may benefit independent users more than interdependent ones. We further propose that embodied participation in VR is influenced by user identity perception. When users encounter avatars with human-like features and social cues, they tend to interact with them based on social norms, extending empathy and trust. The acceptance process of virtual avatars involves anthropomorphization (categorizing them as human-like entities) and identification (attributing social attributes), through which users develop a sense of consistency, thereby facilitating digital empathy.
    Finally, regarding servicescape characteristics, we argue that different service environments, atmospheres, and content may influence the relationship between embodied participation and digital empathy. For example, public service contexts are more likely to evoke user empathy compared to shopping services.
    This research advances the marketing technology literature by 1) providing a theoretically grounded framework for understanding embodied commercial interactions in VR environments, 2) extending well-being research to digital service contexts, and 3) offering evidence-based guidelines for strategic implementation of VR technologies in service ecosystems.
    References | Related Articles | Metrics
    The effect and mechanism of information nudging strategies on reducing food waste behavior among consumers: A research proposal
    DAI Jiatong, YANG Lu
    2025, 33 (7):  1155-1169.  doi: 10.3724/SP.J.1042.2025.1155
    Abstract ( 78 )   PDF (534KB) ( 101 )   Peer Review Comments
    The issue of food waste has garnered global attention, prompting governments and various sectors of society to implement measures to address it. Among the numerous strategies for mitigating food waste, information nudging stands out due to its cost-effectiveness and ease of implementation, making it a sustainable and crucial mechanism for reducing consumer food waste. Existing research has begun to explore how information nudging can reduce consumer food waste, but these studies predominantly focus on the direct effects of policy interventions on behavior and are limited in their exploration of viable nudging tools. Consequently, this study follows the progressive stages of behavioral guidance—from unconscious behavior to conscious cognition—and proposes two research components: the intervention effects of behavioral information nudging strategies on consumer food waste (Study 1) and the impact and mechanisms of cognitive information nudging strategies on consumer food waste (Study 2).
    Study 1 adopts the perspective of unconscious behavioral intervention, focusing on the peripheral route of information processing in the dual-system theory. It investigates the effects of three behavioral information nudging strategies—default meal options, utensil coverage, and individual dining options—on consumer food waste behavior. Additionally, it explores the boundary conditions of these strategies from the perspective of restaurant brand positioning. The lack of awareness regarding portion sizes and personal responsibility is a key barrier to reducing consumer food waste. Default meal settings and utensil coverage can supplement or alter consumers' perceptions of portion sizes through intuitive portion cues and indirect visual effects, thereby reducing food waste. Individual dining options not only enhance consumers' understanding of portion sizes but also reduce waste by distributing personal responsibility. Furthermore, the study examines the boundary effects of contextual heterogeneity, investigating how restaurant brand positioning can amplify or mitigate the effectiveness of behavioral information nudging strategies.
    Study 2 approaches food conservation from the perspective of conscious cognitive guidance, focusing on the central route of information processing in the dual-system theory. Based on the progressive path of consumer behavioral motivation, it designs cognitive information nudging strategies for food conservation through both pressure-based and spontaneous nudging pathways, incorporating emotions, behavioral outcomes, and group influence as key factors. The study explores the dualistic effects of cognitive information nudging strategies on consumer food waste behavior, revealing their mechanisms through information processing, self-regulation, and social influence. It also investigates the differential impacts of cognitive information nudging on food waste behavior from the perspectives of information, individual, and dining context heterogeneity, delving into the boundary mechanisms that amplify positive nudging effects and counteract negative ones. Specifically, from an emotional perspective, negative social emotions can drive consumers to reduce waste by inducing emotional pressure, while positive emotional experiences can guide food conservation through hedonic goals. Additionally, positive and negative information have different valences, potentially leading to varying depths of information processing and resistance. Thus, the depth of information processing and resistance can serve as mechanisms through which cognitive nudging strategies influence food waste behavior. During information processing, the level of individual cognitive resources affects consumers' preferences and processing capabilities for information of different valences. From a behavioral outcomes perspective, highlighting the environmental consequences of food waste can drive waste reduction by creating environmental awareness pressure. However, whether consumers respond positively to such pressure may depend on their self-efficacy beliefs. Emphasizing personal behavioral outcomes can serve as an attainment goal, motivating consumers to conserve food spontaneously. However, this positive effect is more pronounced in written communication contexts. Verbal communication, on the other hand, creates a social presence, and highlighting personal outcomes of food waste or conservation may trigger identity threats. From a group influence perspective, every consumer is part of a social group, and the need for group belonging provides significant behavioral motivation. Group norms and individual norms related to food conservation can reduce consumer food waste through group pressure and personal goal guidance, respectively. However, the effectiveness of these strategies may be influenced by the privacy of the dining context.
    This study aims to systematically construct a model of the impact mechanisms of information nudging strategies on consumer food waste, explore more viable nudging tools, reveal their underlying mechanisms, and identify boundary conditions that enhance their effectiveness. By designing multi-path, diverse, and targeted food conservation nudging strategies, the study provides theoretical foundations and practical measures for effectively reducing food waste at the consumer level.
    References | Related Articles | Metrics
    Research Method
    Abductive theory of method of psychological theory construction
    SUN Xin, XIN Ziqiang
    2025, 33 (7):  1170-1180.  doi: 10.3724/SP.J.1042.2025.1170
    Abstract ( 128 )   PDF (498KB) ( 199 )   Peer Review Comments
    Psychology as a scientific discipline has often encountered theoretical dilemmas throughout its developmental trajectory. First, the commonly used scientific methods in current research demonstrate inadequate efficacy in theoretical construction. For instance, current psychological research primarily utilizes the hypothetico-deductive method, which focuses on gathering empirical evidence to validate pre-existing theories but neglects the process of theory (or hypothesis) construction. Second, despite the abundance of theories in psychology, there is little focus on the unity between theories. Third, the logical connections between theories and the empirical evidence used to test them are often weak. The fundamental reason underlying all of these theoretical dilemmas may be the lack of systematic methodological guidance for theory construction. However, the abductive theory of method provides a systematic explanatory framework and methodological guidance for theory construction in psychology. This method emphasizes not only the detection of phenomena through empirical evidence but also the subsequent construction of explanatory theories. According to this methodological framework, scientific inquiry should be guided by research problems and consists of two main stages. The first stage involves detecting phenomena through inductive reasoning in the form of empirical generalizations. The abductive theory of method outlines the process of phenomena detection as a statistically oriented, multistage model of data analysis that includes initial data analysis (screening the data for its quality), exploratory data analysis (using multiple forms of description and display to identify data patterns), close replication (verifying the stability of the data patterns ), and constructive replication (ascertaining the generalizability of the results identified by successful close replication). This process employs multiple strategies and statistical methods of data analysis to uncover the phenomenon. The second stage is the construction of theory, which includes three components: theory generation through existential abduction, theory development through analogical abduction, and theory appraisal through inference to the best explanation. Although theory generation temporally precedes its development, theory appraisal begins with theory generation and continues throughout development, eventually extending to comparative appraisal of mature theories. Generally speaking, theory generation and development follow a temporal sequence, while theory appraisal occurs throughout the entire the process of theory construction. This dynamic process of theory construction ensures the continuous optimization and refinement of the theory.
    Abductive theory of method offers innovative perspectives for psychological researchers engaged in theory construction. First of all, this framework advocates a bottom-up scientific inquiry process commencing with novel phenomenon detection followed by theory construction, which integrates two forms of inductive and abductive reasoning, and a variety of research methods and strategies, forming a relatively systematic framework for scientific research. To a certain extent, this framework makes up for the problem of hypothetico-deductive method that disproportionately emphasize hypothesis verification but neglects theory construction. Moreover, under the guidance of this theoretical framework, researchers are able to combine and utilize different research methods and strategies according to the research objectives and needs when conducting scientific exploration. Second, the theoretical framework provides systematic methods and steps for theory construction, covering the whole process from the discovery of new phenomena in multiple quantitative and qualitative data analyses to the cross-validation of explanatory theories through multi-methods, which is highly operable and provides guidance for the construction of a unified psychological theory. Ultimately, abductive theory of method emphasizes theoretical explanatory work on detected phenomena. Continuously iterating the development and appraisal of theories can lead to better and more reliable theories constructed by researchers. Thus, the abductive theory of method offers a systematic interpretive framework and methodological guidance for constructing theories in psychology, which is of great significance to the theoretical development of psychology.
    References | Related Articles | Metrics
    Trends and dynamics in longitudinal research: Model development, integration, and differentiation
    LIU Yuan, YAO Zhichen
    2025, 33 (7):  1181-1198.  doi: 10.3724/SP.J.1042.2025.1181
    Abstract ( 377 )   PDF (1157KB) ( 410 )   Peer Review Comments
    “Trends” and “dynamics” represent two significant themes in longitudinal research. To address the challenges associated with trends and dynamics, researchers frequently utilize panel data or intensive longitudinal data to gather information, allowing for the development of various statistical models.
    The trends study analyzes systematic changes and usually operates at the between-person level. It illustrates the general developmental trajectory while acknowledging individual differences. To effectively capture these general trends, researchers often use panel data, as it involves wide intervals and prolonged periods of data collection. A commonly employed model for this purpose is the latent growth model (LGM) combined with a multilevel model (MLM). In contrast, the dynamic study focuses on temporal changes within individuals, typically at the within-person level. It examines autoregressive and cross-lagged relationships from earlier time points to later ones. Both panel data and intensive longitudinal data could address dynamic issues because they allow for the measurement wave over short time intervals and necessitate a large number of measurements. Cross-lagged panel models (CLPM) are frequently used to analyze dynamics for panel data, while time series analysis and dynamic structural equation models (DSEM) are commonly applied to intensive longitudinal data.
    As research questions become more intricate, we rely on models that integrate trends and dynamics, yielding numerous integrated models. For panel data, this includes the random intercept cross-lagged model (RI-CLPM), autoregressive latent trajectory model (ALT), and latent curve model with structural residuals (LCM-SR), among others, to provide a comprehensive approach to addressing the interplay of trends and dynamics. In the context of intensive longitudinal data, where stationary is a preassumption for time series modeling, models incorporating the detrending process have been developed, such as the dynamic structural equation model (DSEM) and residual dynamic equation model (RDSEM), etc.
    We utilized empirical data from the 2013 Health and Retirement Study (HRS) to demonstrate the practical application of various longitudinal models. Our findings revealed that the integrated models, such as ALT and LCM-SR, exhibited superior model fit. This suggests that there are developmental trends that must be accounted for. The ALT model displayed significant autoregressive and cross-lagged relationships among the target variables, whereas the LCM-SR models did not.
    In conclusion, we compared various longitudinal models and provided practical recommendations. First, researchers should determine the appropriate data collection paradigm to employ. When the number of measurement waves is ten or fewer and the time intervals are large, panel data is suitable; otherwise, an alternative approach should be considered. The long format is also suggested for intensive longitudinal data. Second, since the stationary is crucial in dynamic research, it is essential to assess trends. Panel data can be analyzed for trends using LGM or MLM with time covariates, while intensive longitudinal data (through time series analysis) should employ stationary tests. Descriptive statistics can also provide valuable insights. If trends are present, panel data should utilize an integrated model that encompasses both trends and dynamics, whereas intensive longitudinal data should adopt detrending models. In the absence of trends, direct dynamic modeling can be applied. Specifically, if the goal is to distinguish between trends and dynamics, researchers should consider residual models such as RI-CLPM, LCM-SR, and RDSEM. Conversely, for research emphasizing dynamics, cumulative models like ALT and DSEM should be applied.
    References | Related Articles | Metrics
    Meta-Analysis
    Cognitive mechanisms underlying the age of acquisition effects: Insights from a three-level meta-analysis
    ZHANG Lu, WANG Ziqian, ZHANG Qingfang
    2025, 33 (7):  1199-1220.  doi: 10.3724/SP.J.1042.2025.1199
    Abstract ( 89 )   PDF (766KB) ( 112 )   Peer Review Comments
    Introduction
    This study investigates the cognitive mechanisms underlying the age of acquisition (AoA) effect in lexical processing through a three-level meta-analysis, aiming to resolve the ongoing debate regarding the stage at which AoA effects emerge and to explore the potential consistency or conflict among existing theories. The AoA effect refers to the observation that words acquired earlier in life are processed faster and more accurately than those acquired later. Three prominent theories have been proposed to explain this phenomenon: the multi-level theory, the representational theory, and the arbitrary mapping theory. The multi-level theory posits that AoA influences multiple processing systems and that the magnitude of the AoA effect increases with the number of processing stages involved. The representational theory suggests that early-acquired words have richer semantic representation networks and that the AoA effect occurs during semantic processing, with one component being closely related to word frequency and another independent of it. The arbitrary mapping theory argues that the AoA effect is primarily associated with the connection between representational levels (such as perceptual, orthographic, semantic, and phonological levels) and is more pronounced when the mapping relationships are irregular.
    Methods
    To verify these theories and explore their potential interrelationships, this study conducted a comprehensive meta-analysis of 130 studies (271 effect sizes, N = 10697) published before May 15, 2024, retrieved from databases including CNKI, Wanfang Data Knowledge Service Platform, VIP Chinese Journal Service Platform, Web of Science, Science Direct, and Scopus. The analysis incorporated several moderating variables, including cognitive processes (perception / production), task type (picture naming task / lexical decision task / word naming task / semantic classification task), writing system (alphabetic / logographic), and word frequency (independent variable / control / uncontrolled), to examine the stage of occurrence and cognitive mechanisms of the AoA effect.
    Results
    The meta-analysis revealed an overall effect size of Hedge's g = 0.47 (p < 0.001, 95% CI = [0.41, 0.52]), indicating a significant AoA effect. The effect size was moderated by task type (F(3, 224) = 9.32, p < 0.001) and word frequency (F(2, 268) = 6.93, p = 0.001). Notably, the AoA effect was primarily dependent on the semantic relevance of different tasks (F(1, 219) = 14.62, p < 0.001), but it was not influenced by the phonological relevance of the tasks (F(1, 219) = 1.27, p = 0.261), target cognitive process (F(1, 269) = 0.08, p = 0.781), or writing system (F(1, 265) = 2.80, p = 0.096). These findings support both the representational theory and the multi-level theory, suggesting that early-acquired words possess richer semantic networks that facilitate lexical access.
    Conclusion
    The innovative aspect of this study lies in its use of a three-level meta-analysis approach to systematically integrate and analyze a large body of existing research on the AoA effect. This method allows for a more nuanced understanding of the cognitive mechanisms underlying AoA effects by accounting for the hierarchical structure of the data and the potential heterogeneity across studies. Additionally, the inclusion of multiple moderating variables provides a comprehensive framework for examining how different factors influence the manifestation of the AoA effect across various lexical processing tasks and writing systems. By synthesizing diverse empirical findings, this study offers valuable insights into the complex interplay between AoA and lexical processing, contributing to a more integrated theoretical understanding of the cognitive mechanisms involved.
    References | Related Articles | Metrics
    Embodiment effect in second language and its influences: Evidence based on meta-analysis
    LI Ying, ZHAI Yihui, HAO Shoubin, DAI Yaxing, MA Xiaobo, LI Tiantian, WANG Yue
    2025, 33 (7):  1221-1233.  doi: 10.3724/SP.J.1042.2025.1221
    Abstract ( 302 )   PDF (773KB) ( 291 )   Peer Review Comments
    Currently, linguistic embodiment effect has been widely confirmed in the domain of native language, but no consistent conclusion has been reached on whether and how bodily experience was involved in second language. The current study argued that the inconsistencies that have led to the findings on the second language embodiment effect were partly due to the differences in task paradigms and perspectives of examination adopted by different studies, and partly due to the fact that individual studies have not developed a unified standard for the operational concept of the second language embodiment effect and its measurement. Therefore, it was necessary to adopt a meta-analytic approach to categorize, integrate, and evaluate the results of individual studies to clarify the causal relationship between body perception experiences and second language learning, and to provide insights for resolving the inconsistent findings of the linguistic embodiment effect in the domain of second language. Clarifying this issue was an important element in testing whether the embodied language perspective was cross-culturally universal, provided new perspectives for the field of second language learning, and at the same time could provide feasible paths for second language embodied teaching practices.
    This study integrated the related studies on second language embodied learning to examine the processing and influencing mechanisms of second language embodied effect, and explored the influencing factors of second language embodied effect from the dimensions of learner characteristics and language characteristics, and finally conducted a meta-analysis of 60 documents (186 effect sizes, 2520 subjects) by using a random-effects model. The results found that: the total effect size of second language embodiment was significant (Hedges' g = 0.34, p < 0.001); second language proficiency and language distance moderated the second language embodiment effect, with highly proficient bilinguals showing more significant second language embodiment effect than low-proficient second language, and more significant embodiment effect when the native language and the second language belonged to different linguistic families; there was an interaction between second language proficiency and semantic content on the second language embodiment effect, with high proficiency bilinguals showing more significant embodiment effect in second language affective semantic processing than in action semantics and other semantics, whereas the difference between low proficiency bilinguals' second language embodiment effect in action semantics, affective semantics, and other semantics was not significant.
    The findings suggested that there was a stable embodiment effect in second language and that activation of the sensorimotor system could influence second language comprehension and conceptual representation. Language distance and second language proficiency had important effects on second language embodiment, and the embodiment effect was more pronounced when the second language and the native language belonged to different language families than when they belonged to the same language family, and highly proficient bilinguals showed stronger second language embodiment effect than low proficient bilinguals. There was a significant interaction between second language proficiency and semantic content, and the effect of semantic content on the second language embodiment effect was moderated by learners' second language proficiency. The findings supported the cross-linguistic consistency of the embodiment effect and further revealed the significant influence of learner factors and language factors on the second language embodiment effect. Based on the current findings, future research can further investigate the mechanisms of the second language embodiment effect and the interactive effects of learner and language factors on the second language embodiment effect.
    References | Related Articles | Metrics
    Regular Articles
    Unconscious fear and its neural mechanisms
    YU Lingfeng, ZHANG Jie, MING Xianchao, LEI Yi
    2025, 33 (7):  1234-1245.  doi: 10.3724/SP.J.1042.2025.1234
    Abstract ( 140 )   PDF (705KB) ( 195 )   Peer Review Comments
    Unconscious fear refers to fear responses that occur without conscious awareness of fear-inducing stimuli. Traditional views suggest that unconscious fear processing primarily relies on the superior colliculus-pulvinar-amygdala pathway, with the amygdala serving as the central hub. However, recent studies on cortical and subcortical structures have significantly expanded this understanding. Research has revealed that beyond the amygdala, structures including the visual cortex, lateral geniculate nucleus (LGN), superior colliculus, and pulvinar can rapidly detect and specifically respond to unconscious fear stimuli, revealing a more complex neural processing network. While numerous studies have explored the neural basis of unconscious fear processing, a systematic integration and analysis of the roles and interactions of various brain regions during early visual processing stages remains lacking. Therefore, this paper focuses on examining the functions and interactions of visual cortical and subcortical regions (LGN, superior colliculus, pulvinar) during unconscious fear processing, aiming to construct a more comprehensive neural network model.
    The LGN's function extends far beyond its traditional role as a simple visual relay station. Research indicates that K cells in the LGN project to the visual cortex, forming the neural basis for blindsight. More importantly, the extensive connections between the LGN, thalamic reticular nucleus, and visual cortex enable selective filtering of visual information before conscious processing. Under threat conditions, signal transmission rates from the retina to LGN significantly increase, while the ventral LGN participates in modulating the duration of defensive responses to visual threats. Furthermore, studies on blindsight patients further confirm that the LGN can process threat signals bypassing V1, with functional connections between the LGN and visual cortex providing an alternative pathway for rapid behavioral responses, highlighting the LGN's importance as a key node in unconscious fear processing.
    The pulvinar's role in unconscious fear processing is more sophisticated than traditionally understood. While conventional views suggest that the pulvinar merely relays information directly to the amygdala, research has revealed more refined functional divisions, where the inferior pulvinar primarily connects with extrastriate visual areas and superior colliculus, while the medial pulvinar maintains bidirectional connections with the amygdala and frontoparietal regions. Notably, the medial pulvinar's approximately 200ms response latency suggests that it may participate in coordinating cortical assessment of stimulus significance before information reaches the amygdala, rather than simply relaying signals. This complex connectivity pattern establishes the pulvinar as a crucial coordinator in evaluating stimulus biological significance.
    The primary visual cortex demonstrates unique capabilities in unconscious threat processing. Through feedforward sweep mechanisms, V1 can rapidly process fear signals independently of feedback from higher visual areas. More significantly, V1 undergoes plasticity through fear learning, forming threat-related memory representations that facilitate rapid and precise processing under unconscious conditions. This plasticity is influenced by multiple regulatory mechanisms, including enhanced amygdala theta oscillations, increased acetylcholine release from the basal forebrain, and enhanced signal transmission between the amygdala and sensory cortex.
    Future research should focus on three key directions: First, employing multimodal MEG/EEG-fMRI imaging techniques combined with dynamic causal modeling and Granger causality analysis to investigate temporal characteristics and dynamic interactions between cortical and subcortical structures; Second, developing large-scale neural network computational models to simulate dynamic interactions between key brain regions and predict new neural circuit interaction patterns; Finally, exploring clinical translational applications, particularly developing novel treatment approaches based on unconscious exposure therapy and neurofeedback training, providing new therapeutic strategies for emotional regulation disorders and mental illnesses.
    In conclusion, this paper establishes that alongside the amygdala, the LGN, pulvinar, and primary visual cortex constitute critical neural nodes in unconscious fear processing. This not only reflects the diversity of visual processing mechanisms but also exemplifies the distinctive neural patterns that characterize human threat response systems.
    References | Related Articles | Metrics
    Challenges and coping strategies of psychological assistance hotlines during major public health events
    ZHU Lin, LI Rui, REN Zhihong
    2025, 33 (7):  1246-1256.  doi: 10.3724/SP.J.1042.2025.1246
    Abstract ( 96 )   PDF (555KB) ( 106 )   Peer Review Comments
    During the COVID-19 pandemic, psychological assistance hotlines emerged as a crucial channel for mental health services, quickly responding to the surge in demand for psychological support. Despite the advantages of overcoming spatial limitations, providing timely responses, and offering flexible and convenient services, these hotlines still face numerous challenges. This article reviews the research and practices of psychological assistance hotlines during the pandemic, analyzing their functions, roles, and the challenges they faced, while proposing a series of strategies to address these issues. The aim is to explore how to optimize hotline services to help governments, social organizations, and hotline workers manage the increased demand for psychological support and the growing diversity of help-seeking situations.
    To improve the effectiveness of hotline services, researchers have developed and adjusted a theoretical framework tailored to hotline operations, based on extensive theoretical research in the field of counseling and practical experience with hotlines. Theories of crisis intervention and stress response models guide the intervention strategies for individuals at different psychological stages. In the early stages of a crisis, hotlines focus on emotional calming and alleviating anxiety and other stress reactions; as time progresses, they shift to addressing chronic symptoms like depression, helping individuals regain normal life functions.
    During the COVID-19 pandemic, psychological assistance hotlines played a crucial role in maintaining public mental health by providing a safe and reliable channel for individuals to cope with the psychological stress caused by the pandemic. These hotlines offer universal accessibility and cost-effectiveness, enabling broad support even in resource-constrained environments. They also serve as an important information source, helping to monitor the public’s mental health status, providing data support to policymakers, and facilitating timely responses to emerging social psychological issues.
    During this period, the intervention techniques used by psychological assistance hotlines were optimized, particularly with the development of efficient intervention methods centered around emotional support and empowerment, which effectively alleviated callers' psychological stress. Some studies have provided evidence of their effectiveness through quantitative evaluations. However, research also indicates that the effectiveness of interventions is influenced by several factors, including inadequate hardware facilities, the experience and professional competence of the hotline workers, and the alignment between the severity of the caller’s issues and the hotline’s capacity.
    At the same time, psychological assistance hotlines face a series of challenges. First, the lack of uniformity in the content and standards of hotline services has led to discrepancies in service effectiveness and quality. Second, when dealing with sensitive issues such as suicide crises, there are ethical and legal risks related to balancing privacy protection with providing effective assistance. Additionally, hotline workers often face high-intensity work pressure, which can lead to professional burnout and emotional exhaustion. Finally, due to uneven resource distribution and inadequate management mechanisms, the potential of hotlines has not been fully realized within the social psychological service system.
    Based on the analysis of challenges faced by psychological assistance hotlines, this study proposes several strategies informed by successful practices from both domestic and international hotlines. First, national-level coordination of resources is necessary, with financial and policy support to establish clear operational standards, qualifications, and supervision mechanisms for hotlines. Training and management should adopt unified standards, with regular professional training and supervision for call operators. After the intervention, the use of caller feedback and third-party evaluations can help continuously improve service quality. Additionally, the classification and integration of hotlines, leveraging the strengths of various systems, may optimize resource allocation.
    Second, the development of data collection systems and research related to hotlines is essential. Standardized evaluation tools should be created to quantify and improve the efficiency of assessing callers’ issues and the effectiveness of interventions. Researchers should explore advanced data analysis tools and fully utilize original recordings and video materials to reduce bias from indirect subjective assessments.
    Moreover, the development of artificial intelligence (AI) technologies presents new possibilities for psychological assistance platforms. The incorporation of virtual assistants or chatbots can automate hotline operations, enhancing service efficiency. Future efforts should focus on developing new types of psychological assistance platforms through cooperation and resource integration, digitization, and automation. By closely linking with communities, schools, hospitals, law enforcement, legal aid agencies, and psychological counseling centers, resources can be integrated and shared to provide feasible support and referral services for callers. This will ensure that callers receive continued support after their consultations and contribute to the comprehensive development of social psychological services. The experiences gained from psychological assistance hotlines during the COVID-19 pandemic offer valuable insights for future social psychological reconstruction post-pandemic, as well as for psychological crisis intervention and social psychological support services during other major public events.
    References | Related Articles | Metrics
    The inhibitory effects of exercise intervention on aggressive behavior and its mechanisms
    CHU Kequn, ZHU Fengshu
    2025, 33 (7):  1257-1266.  doi: 10.3724/SP.J.1042.2025.1257
    Abstract ( 284 )   PDF (461KB) ( 310 )   Peer Review Comments
    This paper explores the multidimensional pathways and influencing factors of exercise intervention in suppressing aggressive behavior. By integrating four theoretical frameworks—emotional regulation, cognitive control, social connection, and social identity recognition—we propose a dynamic interactive comprehensive model. This model systematically elucidates how exercise interventions mitigate aggressive behaviors through improving emotional states, enhancing cognitive functions, reinforcing behavioral synchrony, and boosting group identity. The study further analyzes the modulation effects of intervention types, cultural backgrounds, and individual characteristics. Additionally, we discuss the neurobiological and physiological mechanisms supporting these theoretical pathways and suggest that future research may optimize model validation through dynamic modeling techniques and other innovative methods.
    Numerous empirical studies have supported the significant effectiveness of exercise interventions in reducing different types of aggressive behaviors, both in the short and long term. For instance, a 12-week aerobic exercise program demonstrated a marked reduction in verbal and physical aggression among adolescents. Acute high-intensity exercise has also shown positive effects in reducing aggressive scores following conflict simulation tasks. While both individual and group exercises contribute to suppressing aggressive behaviors, their mechanisms and effectiveness can vary based on the nature of the intervention, intensity, and duration.
    The results highlight the enhancement of emotional regulation as a key pathway through which exercise lowers impulsive aggression. Exercise has been shown to alleviate anxiety and anger, leading to a decrease in emotional aggression. However, for instrumental aggression, which relies heavily on cognitive strategies and motivation, longer-term interventions may be necessary to achieve significant improvement. Similarly, team sports foster social connections and a sense of belonging, which further suppress aggression stemming from group conflicts.
    Cultural background and individual traits significantly influence the efficacy of exercise interventions. In collectivist cultures, group exercises enhance social connection and belonging, effectively mitigating aggression. Conversely, in individualistic cultures, individual exercise is more frequently viewed as a method for emotional management, helping individuals alleviate stress and anxiety. This distinction underscores the adaptability and potential of exercise interventions across various contexts.
    The paper also discusses the interplay between emotional regulation and cognitive control, demonstrating that they can reinforce each other in reducing aggression. Emotional regulation provides a stable psychological foundation for cognitive control, while improved cognitive control enables individuals to manage their emotions more effectively during conflicts. This bidirectional interaction, however, is subject to individual characteristics and the type of exercise performed.
    Furthermore, the model emphasizes how social connection and social identity recognition interact at the group level, mitigating in-group and out-group conflicts. Behavioral synchrony in group exercises enhances emotional resonance and boosts social identity recognition, which collectively contribute to lowering aggression. However, the potential "double-edged sword" effect of strong in-group identity may lead to increased out-group hostility in certain contexts.
    Neurobiological and physiological mechanisms are also discussed as foundational supports for exercise interventions. Key factors such as Brain-Derived Neurotrophic Factor (BDNF) levels, oxytocin release, and the functionality of the prefrontal cortex and amygdala play critical roles in emotional regulation and cognitive control. Exercise has been shown to enhance BDNF levels, improve the functional connectivity between the prefrontal cortex and amygdala, and regulate cortisol levels, all of which are integral to suppressing aggressive behavior.
    In summary, this research contributes to a deeper understanding of the mechanisms through which exercise interventions suppress aggressive behavior. The proposed dynamic interactive comprehensive model provides a novel theoretical framework for future studies aimed at optimizing intervention strategies. The integration of individual and group levels, alongside the consideration of cultural contexts and individual characteristics, highlights the complexity of aggression management through exercise. Future research is encouraged to validate and refine this model, utilizing advanced methodologies and exploring the effects of exercise interventions on aggressive behavior in diverse populations.
    References | Related Articles | Metrics