期刊：
FRONTIERS IN PSYCHOLOGY,2025年16:1502112 ISSN：1664-1078
通讯作者：
Shuhong, L
作者机构：
[Peng, Qiao] Hunan City Univ, Sch Humanities, Yiyang, Peoples R China.;[Shuhong, Li; Shuhong, L] Ocean Univ China, Coll Foreign Languages, Qingdao, Peoples R China.
通讯机构：
[Shuhong, L ] O;Ocean Univ China, Coll Foreign Languages, Qingdao, Peoples R China.
关键词：
Emotional intelligence1;emotional factor2;language achivement3;second language acquisition4;Meta-analysis5
摘要：
Emotional intelligence (EI) has garnered sustained theoretical and empirical attention over recent decades. Within the domain of linguistics, a growing body of research has investigated the relationship between EI and language achievement. Publication trends in this area reveal two distinct phases: a period of lukewarm attention (2009-2017), followed by a phase of rapid growth (2018-present). The present meta-analysis aims to determine whether EI significantly influences language achievement. Drawing on data from 47 independent studies, comprising 63 effect sizes and a total sample of 18,649 participants, this study found a small but significant correlation between EI and subjective language achievement (r = 0.24), and a moderate correlation with objective language achievement (r = 0.41). Moderator analyses revealed that the relationship between EI and objective language achievement varied significantly by educational level, target language, language skill assessed, and publication year. In contrast, no significant moderation effects were found for research type, learning context, students' major, first language, or the measurement instruments employed. These findings underscore the important role of EI in language learning and highlight the need for emotionally responsive and supportive pedagogical environments that contribute to the sustainable development of foreign language education.
摘要：
In today's world, where digital technologies are integral to education, studying the effectiveness of Intelligent Tutoring Systems (ITS) is vital for optimizing learning. This study evaluates the Squirrel AI Learning platform's impact on motivation and engagement among higher education students in Shanghai. A survey was conducted with students using Squirrel AI alongside traditional curricula (experimental group, n = 153) and those using only traditional methods (control group, n = 160). The Motivation and Engagement Scale measured outcomes, and an independent t-test compared group differences. Additionally, one-way ANOVA assessed age, gender, and academic performance factors in the experimental group. Results indicated that Squirrel AI positively influenced motivation and engagement, with significant improvements in Self-efficacy, Valuing, Task Management, Failure Avoidance, Uncertain Control, and Self-handicapping. Gender and academic performance showed notable differences, while age had no significant effect. ITS use in higher education can personalize learning, improving effectiveness and enhancing students' motivation and engagement. Universities should consider adopting such systems for large courses to foster individualized, motivated learning experiences. Considering students' demographics and performance will help create learning scenarios that best meet individual students' needs. However, the findings should be interpreted with caution due to the study's short duration and its limited cultural and geographic scope. Future research is needed to explore long-term effects and generalizability across diverse contexts.
作者机构：
[Wu, Xiao] Namseoul Univ, Cheonan 31023, South Korea.;[Wu, Xiao] Hunan Inst Traff Engn, Coll Humanities & Art, Hengyang 421000, Hunan, Peoples R China.;[Qin, Yu] Hunan City Univ, Coll Mus & Dance, Yiyang 413000, Hunan, Peoples R China.
通讯机构：
[Qin, Y ] H;Hunan City Univ, Coll Mus & Dance, Yiyang 413000, Hunan, Peoples R China.
关键词：
Music students;Negative emotions;Engagement;Artificial intelligence readiness;Emotional impact
摘要：
This study explored the relationship between negative emotions, engagement, and artificial intelligence (AI) readiness among 323 music students. The researchers employed SPSS (version 27) and AMOS (version 24) for analysis using the Emotion Beliefs Questionnaire (EBQ), the Students' Engagement Questionnaire, and the Artificial Intelligence Readiness Scale. Structural Equation Modeling (SEM), along with reliability analysis, correlation, and Multiple Linear Regression, was applied to understand the data. Findings indicate that negative emotions and AI readiness are interrelated with student engagement. Music's emotional impact can influence how students manage their feelings and engage with AI technologies. For instance, individuals who are more prepared for AI integration may leverage these tools to manage their emotions more effectively, which in turn could lead to enhanced music performance, though the specific mechanisms connecting these factors need further clarification. Consequently, high AI readiness can lead to greater engagement with digital learning platforms, potentially benefiting emotional regulation and academic achievements.
This study explored the relationship between negative emotions, engagement, and artificial intelligence (AI) readiness among 323 music students. The researchers employed SPSS (version 27) and AMOS (version 24) for analysis using the Emotion Beliefs Questionnaire (EBQ), the Students' Engagement Questionnaire, and the Artificial Intelligence Readiness Scale. Structural Equation Modeling (SEM), along with reliability analysis, correlation, and Multiple Linear Regression, was applied to understand the data. Findings indicate that negative emotions and AI readiness are interrelated with student engagement. Music's emotional impact can influence how students manage their feelings and engage with AI technologies. For instance, individuals who are more prepared for AI integration may leverage these tools to manage their emotions more effectively, which in turn could lead to enhanced music performance, though the specific mechanisms connecting these factors need further clarification. Consequently, high AI readiness can lead to greater engagement with digital learning platforms, potentially benefiting emotional regulation and academic achievements.
摘要：
Objective Exit ramps are accident-prone areas of freeways. One of the reasons for this is the information overload induced by destination signs, which makes them challenging to recognize and may even result in tension or mistakes. This study examined the cognitive workload that destination signs place on drivers and the compensatory behavior they use to counteract the additional workload.
Exit ramps are accident-prone areas of freeways. One of the reasons for this is the information overload induced by destination signs, which makes them challenging to recognize and may even result in tension or mistakes. This study examined the cognitive workload that destination signs place on drivers and the compensatory behavior they use to counteract the additional workload.
Methods Forty-five subjects were recruited to conduct a simulated driving experiment. Four destination signs with varying information levels were used to load mental workload as independent variables. Workload indicators (such as the NASA-TLX questionnaire, heart rate variability and eye movements) and compensatory behavior metrics (such as speed, distance headway, time headway and the increased cognitive time due to deceleration) were collected and analyzed through a mixed design analysis of variance.
Forty-five subjects were recruited to conduct a simulated driving experiment. Four destination signs with varying information levels were used to load mental workload as independent variables. Workload indicators (such as the NASA-TLX questionnaire, heart rate variability and eye movements) and compensatory behavior metrics (such as speed, distance headway, time headway and the increased cognitive time due to deceleration) were collected and analyzed through a mixed design analysis of variance.
Results The results show that destination signs with different levels of information produced various cognitive workloads. Drivers’ subjective workload increased significantly with an increase in sign information; however, the heart rate variability indicators did not significantly differ due to the drivers’ compensatory strategy in the cognition process. The principal compensating strategy found was the longitudinal deceleration; as the speed dropped, the distance headway and time headway were significantly increased. Although professional drivers demonstrated a significantly greater speed differential during deceleration than nonprofessional drivers, the alternative safety indicators did not show statistical differences. Additionally, driving experience had no significant impact on the increased cognitive time of compensatory strategies.
The results show that destination signs with different levels of information produced various cognitive workloads. Drivers’ subjective workload increased significantly with an increase in sign information; however, the heart rate variability indicators did not significantly differ due to the drivers’ compensatory strategy in the cognition process. The principal compensating strategy found was the longitudinal deceleration; as the speed dropped, the distance headway and time headway were significantly increased. Although professional drivers demonstrated a significantly greater speed differential during deceleration than nonprofessional drivers, the alternative safety indicators did not show statistical differences. Additionally, driving experience had no significant impact on the increased cognitive time of compensatory strategies.
Conclusions On the one hand, the effort invested by drivers increased with the workload. On the other hand, when the workload exceeded a particular degree, compensatory driving behavior was triggered, which in turn reduced the workload. There was no discernible difference in the effectiveness of the compensatory strategies employed by professional drivers and nonprofessional drivers under complex destination signs. The findings could provide safety considerations for the design of traffic signs.
On the one hand, the effort invested by drivers increased with the workload. On the other hand, when the workload exceeded a particular degree, compensatory driving behavior was triggered, which in turn reduced the workload. There was no discernible difference in the effectiveness of the compensatory strategies employed by professional drivers and nonprofessional drivers under complex destination signs. The findings could provide safety considerations for the design of traffic signs.
摘要：
BACKGROUND: With the rapid aging of China's population, the proportion of older adults living alone has increased significantly, bringing their mental health concerns into sharp focus. This study aims to explore the network structure of anxiety and depressive symptoms among older Chinese adults who live alone, thereby identifying central and bridging symptoms to provide scientific evidence for potential intervention targets in prevention and treatment. METHODS: A total of 1,952 older Chinese adults, aged 65 and older, living alone, were selected from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted in 2017-2018. We assessed anxiety and depressive symptoms using Generalized Anxiety Disorder Scale (GAD-7) and the Center for Epidemiologic Studies Depression Scale (CES-D). We identified central and bridge symptoms via expected influences (EI) and bridge expected influences (BEI); network stability was evaluated using bootstrap methods. RESULTS: The network structure uncovered four crucial connections between anxiety and depressive symptoms. GAD4 "Trouble relaxing", GAD2 "Uncontrollable worry", and CESD3 "Feeling blue/depressed" exhibited the highest EI values within the network. Meanwhile, GAD1 "Nervousness or anxiety" and CESD10 "Sleep disturbances" showed the highest BEI values within their respective communities. CONCLUSION: This exploratory study is the first to examine the reciprocal relationship between depressive and anxiety symptoms in older Chinese adults living alone. Targeting these central and bridging symptoms may effectively prevent comorbidity and facilitate targeted interventions for those at risk or currently experiencing these symptoms.
通讯机构：
[Wang, ZX ] H;Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
关键词：
Core Agglomeration "Scale-Vitality" Center;Close Collaboration Circle "Scale-Vitality" Center;Radiation and Synergy Circle "Scale-Vitality" Center
摘要：
Investigating the coupling coordination between urban scale and vitality is critical for enhancing holistic urban development quality and advancing sustainability. Taking the Changsha-Zhuzhou-Xiangtan (ChangZhuTtan) metropolitan area as a case study, this research integrates multi-source raster and vector data to: (1) analyze spatial patterns of urban scale and virtual-substantive vitality; (2) delineate a "scale-vitality" hierarchical zonal structure; (3) quantify coupling relationships across subzones; and (4) propose synergistic spatial optimization strategies. Key findings reveal that, distinct core-periphery structure characterizes urban scale and vitality, with Changsha's central districts dominating population, land use, and economic metrics, while Zhuzhou and Xiangtan exhibit moderate concentrations. Significant positive correlations exist between urban scale and dual vitality types, with scale-driven vitality enhancement being most pronounced in core agglomeration zones. Furthermore, in the metropolitan core, where both urban scale and vitality values are high, they exhibit a high-value coupling state. As they expanded outward, both metrics gradually decreased, resulting in a low-value coupling state. However, zonal comparisons (core agglomeration circle-peripheral expansion circle) reveal that the proportion of spatially coupled units progressively increases. By elucidating scale-vitality coupling in the ChangZhuTtan metropolitan area, this study provides actionable insights for spatial planning and sustainable urban transition. The methodology framework is replicable for similar metropolitan regions globally.
摘要：
INTRODUCTION: University campuses, with their abundant natural resources and sports facilities, are essential in promoting walking activities among students, faculty, and nearby communities. However, the mechanisms through which campus environments influence walking activities remain insufficiently understood. This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking. METHODS: This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. By applying the XGBoost algorithm and SHAP (SHapley Additive exPlanations), an explainable machine learning framework was established to evaluate the importance of various factors, explore the nonlinear relationships between variables and walking activity, and analyze the interaction effects among these variables. RESULTS: The findings underscore the significant impact of several key factors, including the proportion of sports land, proximity to water bodies, and Normalized Difference Vegetation Index NDVI, alongside the notable influence of six distinct campus area types. The analysis of nonlinear effects revealed distinct thresholds and patterns of influence that differ from other urban environments, with some variables exhibiting fluctuated or U-shaped effects. Additionally, strong interactions were identified among variable combinations, highlighting the synergistic impact of elements like sports facilities, green spaces, and waterfront areas when strategically integrated. CONCLUSION: This research contributes to the understanding of how campus built environments affect walking activities, offering targeted recommendations for campus planning and design. Recommendations include optimizing the spatial configuration of sports facilities, green spaces, and water bodies to maximize their synergistic impacts on walking activity. These insights can foster the development of inclusive, health-promoting, and sustainable campuses.
摘要：
High-albedo ground and wall materials are promoted to mitigate heat stress in tropical climates, yet conflicting evidence driven by climatic and metric variability make their impact on Outdoor Thermal Comfort (OTC) unclear. This study employed parametric simulations to assess how ground and wall albedo affect OTC, measured via the Universal Thermal Climate Index (UTCI) in typical urban canyons. Using ENVI-met, we tested ground albedo (0.2-0.8) and wall albedo (0.05-0.90) with emissivity fixed at 0.9. Findings reveal that ground albedo had a minimal impact on the UTCI (mean amplitude 0.44 degrees C), while wall albedo reduced the UTCI by up to 2.80 degrees C, prioritizing wall material selection for heat mitigation. It was also found that the increase in ground albedo offsets the cooling potential of high-albedo walls. Furthermore, differences in the impact under shaded and unshaded areas were observed. These results question assumptions of universal high-albedo benefits, recommending case-specific simulations in urban design.
摘要：
The article described the study of possibilities and prospects of teaching dance choreographic skills in a virtual educational environment. The researchers compared the educational achievements in the control and experimental groups and determined the influence of additional educational practices in the virtual interactive dance online studio (STEEZY Studio) on the learning outcomes. The vast majority of the students (97%) assessed online dance education as comfortable and productive. An advanced level of choreographic mastery in a solo performance was demonstrated by 70.8% of the experimental group students and 45.8% in the control group; their scores were between 90 and 100. The practical educational experience shown in the article can be valuable in the context of dance training. Dance choreographic instructors can use the findings to choose optimal and effective tools that improve their teaching practice in the online environment.
通讯机构：
[Yang, N ] H;Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413002, Peoples R China.;Key Lab Key Technol Digital Urban Rural Spatial Pl, Yiyang 413002, Peoples R China.;Key Lab Urban Planning Informat Technol Hunan Prov, Yiyang 413002, Peoples R China.
关键词：
production-living-ecological space (PLES);land-use transition;spatiotemporal pattern;driving force;Hunan Province
摘要：
China's rapid economic growth has increased tensions between production, living, and ecological spaces (PLES), making sustainable land-use planning difficult. Therefore, PLES evolution and processes are a focus of current research. Remote sensing data with land-use transition matrices, centroid migration, standard deviation ellipses, spatial autocorrelation, and geographic detectors were used to study the dynamics of PLES in Hunan Province from 1990 to 2020, elucidate its mechanisms and main influencing factors, and provide a comprehensive understanding of its evolutionary characteristics. The main conclusions of our analysis are as follows: (1) Ecological space was the dominant land-use type, while production space increased, putting strain on natural areas. (2) Living space increased by 40.73% over three decades, mostly comprising manufacturing space, highlighting urban expansion. (3) Despite land-use changes, Loudi City's PLES centroid remained central. (4) Standard deviation ellipses showed spatial shrinkage with directional stability, implying enhanced land usage within borders rather than outward growth. (5) The geographic detector analysis showed that the GDP, population density, slope, and elevation influenced these spatial changes. Economic prosperity drove urban expansion, but the slope and elevation limited development to accessible locations. These findings provide policymakers with essential information for balancing urbanization and ecological preservation and provide a case study for sustainable PLES design in rapidly developing regions.
摘要：
The excessive utilization of industrial output has drawn significant attention from authorities toward sustainable development. Given the substantial environmental challenges posed by the industrial sector, sustainable development has emerged as a paramount concern for scholars and organizations alike. In this context, considerable emphasis has been placed on the significance of digitization. Digital technologies, particularly blockchain technology (BCH) and digital finance (DF), are transforming the landscape of business and the economy, facilitating corporate sustainable development (CSD), enhancing corporate social practices, and fostering green innovation. Through the application of various econometric strategies using the Chinese business sector as a sample of the study, we found that BCH effectively promotes green innovation and corporate social activities. Additionally, our analysis underscores the critical role of DF in advancing corporate social practices and green innovation. Notably, we highlight the importance of human capital as a moderating factor that strengthens the relationships between BCH and CSD, as well as between digital finance and CSD. This study offers novel insights into ways, digital technology can enhance corporate sustainability practices and presents a framework that may be of significant utility to policymakers and decision-makers.
作者机构：
[Lei, Junjie; Huang, Xuejia; Yan, Wende; Yan, Tianyi; Liang, Xiaocui] Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Changsha 410004, Peoples R China.;[Huang, Xuejia] Hunan City Univ, Art & Design Coll, Yiyang 413000, Peoples R China.;[Peng, Yuanying] Lewis Univ, Coll Arts & Sci, Romeoville, IL 60446 USA.;[Yan, Wende; Liang, Xiaocui] Natl Engn Lab Appl Forest Ecol Technol Southern Ch, Changsha 410004, Peoples R China.;[Yan, Wende; Liang, Xiaocui] Key Lab Urban Forest Ecol Hunan Prov, Changsha 410004, Peoples R China.
通讯机构：
[Chen, XY ] G;[Qi, YQ ] C;Governors State Univ, Coll Arts & Sci, University Pk, IL 60484 USA.;Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China.
关键词：
urban soils;carbon dynamics;nitrogen cycling;enzyme activities;litter and root management;Cinnamomum camphora
摘要：
Urban forests provide essential ecosystem services, including improving soil health, sequestering carbon (C), and supporting biodiversity. However, the effects of anthropogenic litter and root management on soil biogeochemical processes in urban environments remain poorly understood. This study applied the Detritus Inputs and Removal Treatment (DIRT) framework to examine how aboveground and belowground organic inputs influence soil organic carbon (SOC), total nitrogen (TN), soil water content (SWC), and enzymatic activities in subtropical urban camphor tree forests in China. Six treatments were implemented: litter removal (LR), litter addition (LA), root exclusion (RE), combined litter and root removal (LR + RE), combined litter addition and root exclusion (LA + RE), and an undisturbed litter control (LC). The results showed that the LA treatment significantly enhanced SOC, TN, SWC, and key soil enzyme activities (protease, catalase, and urease) compared to the LC, highlighting the crucial role of litter in enhancing soil fertility and microbial functioning. These elevated enzyme activities suggest intensified microbial nutrient cycling and metabolic activity in response to organic matter inputs. In contrast, the combined LR + RE treatment reduced SOC and enzyme activities but unexpectedly increased TN, indicating disrupted nutrient cycling, possibly due to accelerated microbial nitrogen mineralization and decomposition of existing soil organic matter in the absence of fresh carbon inputs. The LA treatment also showed the highest carbon-to-nitrogen (C:N) ratio, reflecting a carbon-enriched environment that may favor long-term carbon stabilization. Additionally, SWC was most improved under the LA + RE treatment, suggesting its potential for enhancing soil moisture retention in urban settings. These findings underscore the complementary roles of litter and root inputs in maintaining soil health and biogeochemical balance in urban forests. The study provides insights into enzyme-mediated soil processes under varying organic input regimes and highlights the value of targeted organic matter management to enhance urban ecosystem services.
摘要：
BACKGROUND: The community environment is an important factor affecting people's residential relocation; however, existing literature has primarily focused on the objective aspects of the community environment, with less emphasis on residents' perception of it. METHOD: To address this research gap, we selected 74 typical communities and collected 1,568 questionnaires across Guangzhou. We employed factor analysis to capture participants' community environmental perception and used binary logistic regression to analyze the association between independent and dependent variables. RESULTS: The results show that: (1) There is a significant association between age, household registration, and participants' residential relocation intention; (2) Community environmental perception can be summarized into three aspects: environmental disorder perception, community attachment, and satisfaction, all of which are significantly associated with participants' residential relocation intention; and (3) There is a positive association between perception of a disorderly environment and residents' intention to relocation, and a negative association between community attachment and satisfaction and residents' intention to relocation. CONCLUSION: This research is highly significant for enhancing our understanding of factors influencing people's residential relocation intention and for guiding community construction.
作者机构：
[Xiang, Yanhui] Hunan City Univ, Teacher Educ Coll, Yiyang, Peoples R China.;[Deng, Xiaohui; Xiang, Yanhui] Hunan Normal Univ, Dept Psychol, Changsha, Peoples R China.;[Li, Xiaojun] Nanjing Xiaozhuang Univ, Tao Xingzhi Res Inst, Nanjing, Peoples R China.;[Li, XJ] Nanjing Xiaozhuang Univ, Tao Xingzhi Res Inst, Nanjing, Peoples R China.
通讯机构：
[Li, XJ ] ;Nanjing Xiaozhuang Univ, Tao Xingzhi Res Inst, Nanjing, Peoples R China.
摘要：
Aggression has been receiving much attention always as it has serious negative effects. Moral disgust may be a protective factor against aggression. This study explores the mediating role of malicious envy and benign envy in the relationship between moral disgust and aggression from the perspective of integrative functional theory of moral disgust. The present study recruited 1052 participants and asked them to complete Three Domains of Disgust Scale (including Moral Disgust Subscale), Benign and Malicious Envy Scale, and Aggression Scale. The results showed that: (1) benign envy acted as a mediating variable between moral disgust and aggression, and played a partial mediating role. Malicious envy acted as a mediating variable between moral disgust and aggression, and played a full mediator role. In other words, both benign envy and malicious envy played an independent mediating role between moral disgust and aggression; (2) Benign envy and malicious envy are the mediator variables at the same time, only malicious envy can play a fully mediating role between moral disgust and aggression. That’s to say, moral disgust can stably and significantly affect aggression through malicious envy. This study provided a theoretical reference to inhibit the generation of negative emotions and aggressive behaviors in social practice.
作者机构：
[Long, Tianxiang] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Long, Tianxiang] Key Lab Urban Planning Informat Technol, Yiyang 413000, Peoples R China.;[Long, Tianxiang] Key Lab Digital Urban & Rural Spatial Planning, Yiyang 413000, Peoples R China.;[Liu, Yuxin] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China.;[Zhong, Qikang] Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
通讯机构：
[Zhong, QK ] C;Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
关键词：
population-ecology-energy-digital economy;coupling coordination development;spatial-temporal evolution;spatial autocorrelation;driving factors;Yangtze River Basin
摘要：
Against the backdrop of globalization and ecological civilization, this study aims to analyze the patterns of system coupling coordination development in the Yangtze River Basin under the interacting influences of population growth, ecological conservation, energy utilization, and digital economic development. Using a multisource model, this paper explores the state of coordinated development, spatial–temporal evolution characteristics, and influencing factors in the Yangtze River Basin from 2011 to 2020. The results indicate the following: (1) The overall degree of coupling coordination in the Yangtze River Basin shows better performances in the eastern coastal areas compared to the central and western regions. Over time, the spatial autocorrelation of coupling and coordination increases, exhibiting a significant spatial clustering trend. (2) The Moran’s I index increased from 0.327 to 0.370, with high–high clusters primarily distributed in economically developed coastal provinces, while low–low clusters were observed in remote provinces in the central and western regions, revealing regional development imbalance issues. (3) The driving force analysis shows that green coverage and GDP are the core factors influencing the spatial differentiation of coupling coordinated development. Factors such as the urbanization rate, nighttime light index, and energy consumption had significant impacts in certain years but are generally considered minor factors. The results of this study not only contribute to understanding the dynamic mechanisms of regional coupling and development but also provide a scientific basis for formulating regional coordinated development policies, promoting the achievement of win–win goals of economic growth and ecological civilization in the Yangtze River Basin and similar regions.
关键词：
Father absence;resilience;gratitude;forgiveness;structural equation model
摘要：
Background Father absence has long been a popular issue in psychology due to its influence on adolescent well-being and development. Empirical studies have demonstrated the detrimental effects of father absence, such as disruptions in prosocial qualities like gratitude and forgiveness. However, the mediating factor between them remains unclear. Hence, this study aims to explore the mediating role of resilience in the influence of father absence on gratitude and forgiveness.
Father absence has long been a popular issue in psychology due to its influence on adolescent well-being and development. Empirical studies have demonstrated the detrimental effects of father absence, such as disruptions in prosocial qualities like gratitude and forgiveness. However, the mediating factor between them remains unclear. Hence, this study aims to explore the mediating role of resilience in the influence of father absence on gratitude and forgiveness.
Methods 1951 participants completed the Revision of the Father Absence Questionnaire, the Connor–Davidson Resilience Scale, the Gratitude Questionnaire–6 and the Tendency to Forgive Scale. Harman single factor test was conducted followed by confirmatory factor analysis to assess the data for potential common method deviation.
1951 participants completed the Revision of the Father Absence Questionnaire, the Connor–Davidson Resilience Scale, the Gratitude Questionnaire–6 and the Tendency to Forgive Scale. Harman single factor test was conducted followed by confirmatory factor analysis to assess the data for potential common method deviation.
Results The results showed that: Father absence was negatively associated with gratitude and forgiveness. Moreover, we found that resilience mediated between father absence and gratitude and forgiveness.
The results showed that: Father absence was negatively associated with gratitude and forgiveness. Moreover, we found that resilience mediated between father absence and gratitude and forgiveness.
Conclusion The findings demonstrate that the undesirable effects of father absence on prosocial qualities may be ameliorated by intervening in the mediating factor among them. In other words, improving the resilience of individuals with paternity deficiency may help improve their gratitude and forgiveness, which is of great significance for the intervention of prosocial quality in individuals with paternity deficiency.
The findings demonstrate that the undesirable effects of father absence on prosocial qualities may be ameliorated by intervening in the mediating factor among them. In other words, improving the resilience of individuals with paternity deficiency may help improve their gratitude and forgiveness, which is of great significance for the intervention of prosocial quality in individuals with paternity deficiency.
摘要：
BACKGROUND: Physical activity significantly influences health-related behaviors, encompassing physical and mental well-being. Physical activity has been linked to enhancing health behavior, mental health, and psychological resilience. The current study is based on participants who were active in physical activity to improve health and well-being. OBJECTIVES: To examine the influences of physical activity on health behavior, mental health, and psychological resilience, considering the moderating role of quality of life. METHOD: A thorough cross-sectional online survey was conducted from April 15, 2023, to October 15, 2023. The survey was comprehensive and lasted for six months. The online poll received more than one thousand responses under convenience sampling. The selection criteria for the study were above 21 years old, and participants were active in physical activity to improve health and well-being. The collected data were analyzed using appropriate statistical SPSS-25 and SmartPLS 4.0 software to investigate the proposed research paradigm. RESULTS: SEM results of model 1 (direct coefficients) show that PA has a positive effect on HeB, MeH, PsR, HeB on MeH, HeB on PsR. Out of six (in model 2), four moderating effects of QOL were significant, and two were statistically insignificant. CONCLUSION: It has been observed that the quality of life has a moderating role in the relationships between physical exercise and several aspects, such as psychological resilience, mental health, and health-related behavior. It is imperative to emphasize the importance of fostering consistent engagement in physical activity to cultivate a well-balanced and health-conscious way of life.
摘要：
<jats:title>Abstract</jats:title><jats:p>Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on its carbon reduction responsibility, especially in the industrial sector. In this vein, industrial intelligence, a key driver in the “Industry 4.0 era”, offers an opportunity in this carbon reduction campaign. This paper seeks to examine the influences of industrial intelligence on carbon emissions, their heterogeneous characteristics and transmission mechanisms, and the moderating role of human capital. Therefore, we properly probed theoretical aspects, and then we used China's provincial data from 2006 to 2019 and a number of tests, namely the fixed effect model, the two‐stage test, and the moderating effect model, to test the relevant assumptions. We first unfolded that industrial intelligence can significantly mitigate carbon emissions. Specifically, the heterogeneous analysis found that carbon reduction efforts are more pronounced in China's central and western regions and resource‐based regions. We further highlight the mechanism identification, which reveals that industrial structure upgrading and technological innovation are the main channels for industrial intelligence to abate CO<jats:sub>2</jats:sub> emissions. Importantly, we pinpoint the role of human capital, which positively moderates the relationship between industrial intelligence and carbon emissions and can well amplify the industrial structure effect of industrial intelligence. These results are conducive to accurately assessing the environmental benefits of industrial intelligence and providing policy enlightenment for China to alleviate carbon emissions, and they will also offer a reference for other developing countries to learn from.</jats:p>
