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ISSN 0439-755X
CN 11-1911/B

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    25 September 2026, Volume 58 Issue 9 Previous Issue    Next Issue

    Column on the Stress, Resilience, and Health
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    Column on the Stress, Resilience, and Health
    When softness builds strength: A three-level meta-analysis of the relationship between self-compassion and resilience
    LI Xinyi, HE Jiaxi, XIAO Han, LIU Xiaodi, ZHOU Guangyu
    2026, 58 (9):  1683-1697.  doi: 10.3724/SP.J.1041.2026.1683
    Abstract ( 96 )   HTML ( 3 )  
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    The curvilinear relationship between stress and mental health: A three-level meta-analysis
    CHEN Yidi, MA Jinjin, GAN Yiqun
    2026, 58 (9):  1698-1719.  doi: 10.3724/SP.J.1041.2026.1698
    Abstract ( 95 )   HTML ( 6 )  
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    Stress is a pervasive experience that affects individuals across multiple domains of daily life. A survey in the Lancet estimated that more than 500 million individuals worldwide experience stress-related mental health problems annually. Consequently, public concern has grown substantially, making the identification strategies to enhance mental health and resilience in the context of stress an urgent priority. Dose?response theory posits a linear relationship where stress negatively impacts mental health—a perspective widely held by both the public and academia. However, over the past 15 years, research in positive psychology has suggested that moderate stress may foster resilience and adaptive psychological outcomes. According to stress inoculation theory, stress and mental health follow an inverted U-shaped trajectory. Thus, no consensus exists between the linear and curvilinear models.
    A systematic search was conducted across Web of Science, ProQuest, EBSCO, and PubMed, as well as the Chinese databases CNKI and WanFang Data to identify empirically studies reporting quadratic effects of stress on mental health. Data were analyzed in R using the metafor package. A three-level meta-analysis synthesized linear (r) and semi-partial (sr) effect sizes and tested for moderators. Publication bias was assessed using funnel plots, Egger?MLMA regression, and the trim-and-fill method. A total of 23 studies (yielding 59 linear and 59 quadratic effect sizes) comprising 31, 422 participants were included to compare the two hypotheses.
    Results indicated a moderate negative correlation for linear stress terms and a small negative partial correlation for quadratic terms. Overall, the linear association between stress and mental health remains dominant. However, given statistical power constraints, these findings offer some support for the curvilinear hypothesis, suggesting a potential curvilinear relationship between stress and mental health. Meta-regression analyses further revealed that stress measurement methods significantly moderated the curvilinear association, while population characteristics and types of mental health outcomes moderated the linear relationship. Specifically, stress was negatively associated with mental health in healthy populations, but this effect was non-significant in trauma-exposed groups. When outcomes reflected negative mental health, stress consistently predicted poorer outcomes, but showed no significant linear effect on positive mental health outcomes. By contrast, no statistically significant moderation was detected in association between the quadratic component of stress and mental health. Nevertheless, substantial heterogeneity was observed, indicating that future research should pay greater attention to nonlinear patterns linking stress and mental health and the conditions under which such patterns emerge. In particular, more attention should be given to the potential for individuals to fulfill their potential and experience positive growth under moderate levels of stress.
    These findings indicate a small but significant negative curvilinear relationship between stress and mental health, suggesting that moderate levels of stress may promote more favorable psychological outcomes. The variability of the linear relationship across populations underscores the importance of considering sample characteristics and outcome measures in future research. A more precise understanding of these mechanisms and boundary conditions is critical to clarifying the complex role of stress on mental health.

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    Family environmental unpredictability and adolescent physiological and psychological health: The buffering role of positive school climate
    GAO Qianqian, CHEN Meijing, SUN Jianing, LI Yijia, WANG Wei, XIANG Shiyuan, XIE Mingjun, LIN Danhua
    2026, 58 (9):  1720-1735.  doi: 10.3724/SP.J.1041.2026.1720
    Abstract ( 68 )   HTML ( 2 )  
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    Using a statistical-learning approach, the present study examined whether unpredictability in abuse and neglect differentially predicted adolescents’ diurnal cortisol rhythms and depressive symptoms, and whether a positive school climate moderated these associations. A total of 211 adolescents (T1: Mage = 10.82 years, SD = 0.85; 34.6% girls) participated in a four-wave longitudinal survey spanning two years. Unpredictability was operationalized as random variation across the same repeated measurements. Results indicated that unpredictability in abuse significantly predicted flatter diurnal cortisol slopes but not depressive symptoms. Abuse unpredictability also interacted with average abuse exposure: higher unpredictability was linked to fewer depressive symptoms when average exposure was high. Neglect unpredictability showed no significant associations with either cortisol rhythms or depressive symptoms. School safety and order moderated the link between abuse unpredictability and diurnal cortisol slopes, with significant effects emerging only under low school safety and order. Similarly, school support and acceptance moderated the association between neglect unpredictability and diurnal cortisol slopes. Findings suggest that abuse unpredictability has stronger implications for adolescent health than neglect unpredictability, and that a positive school climate may serve as a protective factor for adolescents experiencing adverse family contexts.

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    Large language model-facilitated interventions for enhancing psychological resilience in cyberbullying victims: Targeting self-esteem and self-compassion
    KISHIMOTO Tomoko, HAO Ximing, ASKAR Ankar, XIA Yufei, BAI Qiyu
    2026, 58 (9):  1751-1765.  doi: 10.3724/SP.J.1041.2026.1751
    Abstract ( 74 )   HTML ( 5 )  
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    Enhancing the psychological resilience of individuals who have experienced cyberbullying not only contributes to improved mental health but also effectively mitigates the negative impact of victimization. Interventions targeting self-esteem and self-compassion may represent a feasible pathway for strengthening resilience. Online interventions offer the advantages of scalability and timeliness, while the integration of large language models (LLM) can further reduce costs and enhance intervention efficacy. In Study 1, 59 participants were randomly assigned to one of three groups: a self-esteem and self-compassion dialogue intervention group (Experimental Group 1), a psychoeducational dialogue intervention group (Experimental Group 2), and a psychoeducational reading control group. Results indicated that both LLM-facilitated dialogue interventions (Groups 1 and 2) significantly improved psychological resilience. Study 2 replicated the design with a new sample of 105 participants and employed network intervention analysis to explore the distinct mechanisms underlying the two LLM-facilitated interventions. Results revealed that the self-esteem and self-compassion dialogue intervention not only directly improved psychological resilience but also targeted feelings of isolation, mindfulness, and self-esteem in social dimensions. Through the multi-dimensional interaction of self-esteem and self-compassion, it promoted further improvement of the intervention effect. These studies provide preliminary evidence for the application of LLM in resilience-focused interventions for cyberbullying victims. The findings demonstrate that targeting self-esteem and specific components of self-compassion can effectively enhance psychological resilience and mental well-being. Moreover, the research identifies novel intervention targets, offering both theoretical insights and practical implications for future studies.

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    Stimulus dependence of neural sites for binocular rivalry
    DONG Bo, XIA Zuyu, ZHANG Ming
    2026, 58 (9):  1766-1780.  doi: 10.3724/SP.J.1041.2026.1766
    Abstract ( 63 )   HTML ( 1 )  
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    Whether the neural sites of binocular rivalry flexibly change with stimulus properties is a central question in this field and in consciousness research, yet it has long lacked causal evidence. Using transcranial direct current stimulation (tDCS) to separately interfere with the occipital lobe, right parietal lobe, left parietal lobe, and prefrontal cortex, we measured eye dominance strength and perceptual alternation rate under two stimulus conditions: orthogonal gratings and face/house images. The results revealed a stable stimulus-dependent pattern: competition for feature-level stimuli (gratings) more heavily involved the occipital lobe (anodal stimulation significantly reduced eye dominance strength) and the right parietal lobe (anodal stimulation reduced eye dominance strength, while cathodal stimulation increased perceptual alternation rate); competition for object-level stimuli (faces/houses) more heavily involved the prefrontal cortex (anodal stimulation reduced eye dominance strength) and the left parietal lobe (both anodal and cathodal stimulation reduced eye dominance strength). This study provides causal evidence that the neural sites of binocular rivalry are stimulus-dependent, revealing their flexible recruitment mechanism, and advances the hybrid model from a descriptive static multi-site framework to a predictive flexible-recruitment framework.

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    The impact of virtual reality motor-cognitive dual-task training on individuals with poor spatial visualization ability: Evidence from behavioral and fNIRS studies
    LIU Yang, HU Fangfang, SUN Hao
    2026, 58 (9):  1781-1794.  doi: 10.3724/SP.J.1041.2026.1781
    Abstract ( 75 )   HTML ( 3 )  
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    Spatial visualization is a core component of spatial cognition. Compared with traditional cognitive training, novel interventions that integrate physical activity with cognitive processing offer new directions for enhancing special visualization, particularly for individuals with poor spatial ability. However, there is currently a lack of behavioral and neural evidence empirically assessing the effectiveness of these interventions.
    The aim of this study was to investigate the facilitative effects and neuroplasticity mechanisms of virtual reality (VR)-based motor-cognitive dual-task training on the spatial visualization ability of individuals with poor spatial ability. A two-factor mixed experimental design was adopted with four groups (VR motor-cognitive dual-task, VR motor, VR cognitive, control) and two time points (pre- and post-intervention). Using the Santa Barbara Sense of Direction Scale (SBSOD), 120 college students with poor spatial ability (SBSOD < 3) were screened and randomly assigned to one of the four groups (n = 30 each). All intervention groups underwent an 8-week training program. Spatial visualization ability was measured using a mental rotation task, while functional near-infrared spectroscopy (fNIRS) was used to record changes in prefrontal-parietal network activation before and after the intervention. A random forest machine learning model was then applied to identify the discriminative features of the neural patterns.
    The key findings were as follows: (1) At the behavioral level, the VR dual-task group significantly outperformed the other three groups on post-test measurements of spatial visualization. No significant difference was observed between the two single-task training groups, but both performed significantly better than the control group. (2) At the neural level, the VR dual-task group exhibited the highest neural efficiency, with significantly lower activation levels in the left frontopolar area (L-FPA) and right primary motor cortex (R-M1) after the intervention compared with the other three groups. Those in the dual-task group also showed the greatest reduction in activation from pre- to post-test. In contrast, although the right frontopolar area showed significantly lower activation in all three intervention groups relative to the control group, no significant differences were observed among the three intervention groups. (3) The machine learning model further validated that the neural activity patterns of the VR motor-cognitive dual-task group were highly separable from those of the control group. Changes in R-M1 and L-FPA activity were the most discriminative features.
    In conclusion, VR-based motor-cognitive dual-task training can significantly improve spatial visualization ability in individuals with poor spatial ability by synergistically optimizing neural efficiency in the prefrontal and motor cortices. This study provides multimodal evidence for the “body-cognition integration” theory and establishes a methodological foundation for precision intervention paradigms based on neural markers.

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    Moderating role of mental imagery in the relationship between depressive tendency and the filtering efficiency of task-irrelevant emotional stimuli
    LI Hangyu, XU Heng, MU Yurong, YUAN Xiaowei, LI Shouxin, ZHANG Qian
    2026, 58 (9):  1813-1827.  doi: 10.3724/SP.J.1041.2026.1813
    Abstract ( 73 )   HTML ( 1 )  
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    Individuals with depressive tendency exhibit a working memory bias toward negative information. Reduced filtering efficiency, defined as the ability to prevent task-irrelevant information from entering working memory, may contribute to biased information processing. The present study investigated the moderating role of mental imagery in the relationship between depressive tendency and the filtering efficiency of task-irrelevant emotional stimuli. Study 1 used a filtering change detection task to investigate the associations among depression, emotional information filtering efficiency, and mental imagery vividness. Studies 2 and 3 further examined the effects of positive and negative mental imagery on the filtering efficiency of negative emotional information by requiring participants to imagine facial stimuli with different emotional valences before completing the working memory task. Results showed that depression was negatively associated with mental imagery ability and the filtering efficiency of negative information. Compared with neutral mental imagery, positive mental imagery increased the filtering efficiency of negative information for individuals with depressive tendency but not for controls. Conversely, negative mental imagery decreased the filtering efficiency of negative information in the control group but did not affect individuals with depressive tendency. These findings indicate that mental imagery moderates the relationship between depression and the filtering efficiency of task-irrelevant negative information. Specifically, positive mental imagery can guide individuals with depressive tendency to ignore task-irrelevant negative information, thereby improving their filtering efficiency. These findings provide a new perspective for early intervention for individuals at risk of depression.

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    Effect of example variability on the implicit learning of multiple non-adjacent rule
    LING Xiaoli, ZHANG Qingyun, ZHENG Li, GUO Xiuyan, SUN Peng
    2026, 58 (9):  1843-1857.  doi: 10.3724/SP.J.1041.2026.1843
    Abstract ( 56 )   HTML ( 1 )  
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    The dynamic relationship between social media use and interpersonal adaptation among freshmen in their first month of college: A moderated intensive longitudinal mediation model
    XIONG Sicheng, LUO Yanhong, XIONG Ge, CHEN Yun, ZHANG Bin
    2026, 58 (9):  1873-1887.  doi: 10.3724/SP.J.1041.2026.1873
    Abstract ( 81 )   HTML ( 1 )  
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    College freshmen face the critical challenges of reconstructing their social networks and adapting interpersonally during the early college entry period. Whether social media facilitates freshmen's relational integration or induces interpersonal alienation remains debated, and the underlying mechanisms and boundary conditions require clarification. In this study, 306 freshmen completed a 30-day intensive longitudinal survey during their first month of college. Using residual dynamic structural equation modeling (RDSEM), we examined the microtemporal association between social media use and interpersonal adaptation, the intensive mediating role of self-concept clarity, and the cross-level moderating effect of envy. The results showed that: (1) social media use on the previous day significantly and negatively predicted freshmen's interpersonal adaptation on the current day; (2) social media use on the previous day indirectly and negatively affected freshmen's interpersonal adaptation on the next day by reducing self-concept clarity on the current day; and (3) envy exerted a cross-level moderating effect, such that freshmen with higher envy were more likely to show reduced self-concept clarity on the current day and poorer interpersonal adaptation on the next day after using more social media on the previous day. These findings deepen understanding of the mechanisms through which social media negatively affects college adjustment and provide practical implications for helping freshmen adapt smoothly to college in the contemporary digital ecology.

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    The impact of pet contact on responsibility attribution: The mediating role of perceived harmfulness
    XU Kepeng, YAN Jie, CHEN Jiali, XUE Hong, BAI Dengxuan, LIN Shuang, ZHANG Shuyue
    2026, 58 (9):  1888-1899.  doi: 10.3724/SP.J.1041.2026.1888
    Abstract ( 81 )   HTML ( 1 )  
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    Reverse mentoring relationship: A structural theory and empirical examination in the context of Chinese organizations
    PENG Shuai, ZHANG Jian, YIN Kui, BU Xing
    2026, 58 (9):  1900-1918.  doi: 10.3724/SP.J.1041.2026.1900
    Abstract ( 71 )   HTML ( 5 )  
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    The reverse mentoring relationship, as a novel developmental relationship that integrates intergenerational interaction and promotes reciprocal learning and mutual empowerment, has become increasingly prevalent in workplace settings. However, existing research has not systematically examined its conceptual structure, and a psychometrically sound measurement instrument remains lacking. Situated in the Chinese organizational context in the digital-intelligence era, this study used grounded theory techniques and questionnaire surveys to explore the conceptual connotation, structural dimensions, and measurement of the workplace reverse mentoring relationship. The results showed that the reverse mentoring relationship in the digital-intelligence era consists of three dimensions: technical support, mental inspiration, and competence recognition. On this basis, this study developed a 15-item measurement scale. Across three empirical studies, a total of 1,513 employees were surveyed to examine the reliability, validity, and practical applicability of the scale. The results indicated that the scale demonstrated good reliability and structural validity. Moreover, the reverse mentoring relationship in the digital-intelligence era enhanced older employees’ occupational self-efficacy and performance, while also strengthening younger employees’ organizational belongingness and reducing their turnover intention. Drawing on the context of China’s digital-intelligence transformation, this study provides a localized extension of the conceptual understanding of the reverse mentoring relationship, offers an effective measurement tool for future research, and provides practical guidance for managing reverse mentoring relationships in organizations.

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