Interactive Effects Research Articles

Building a dynamic adaptational process theory of resilience (ADAPTOR): Stress exposure, reserve capacity, adaptation, and consequence.

A Dynamic Adaptational Process Theory of Resilience (ADAPTOR) incorporates a synchronistic interplay of reserve capacity, adaptation, and consequences in the context of the larger exposome. This conceptualization of resilience centers on the argument that individuals can "build" resilience by drawing upon their various reserve capacities to effectively adapt to challenging contextual factors, and that this process has long-term consequences for health and wellness trajectories. These theoretical arguments were tested using the Notre Dame Study of Health & Well-Being-COVID Study, which is a multitimescale, longitudinal study of data collected from September 2020 through February 2022. We included 444 participants (age range = 26-90, M = 62.23, SD = 14.26), and used hierarchical linear modeling to assess the effects of global perceptions of stress reactivity (reserve capacity), daily affective reactivity (adaptation), as well as negative pandemic exposure (exposome) on trajectories of depression and anxiety (consequences) across the COVID-19 pandemic. Most pertinent to ADAPTOR, an interactive effect indicated that reserve capacity and adaptation may serve compensatory roles for one another in the context of a more stressful exposome, whereas the synchrony between reserve capacity and adaptation may be important in the context of a less stressful exposome. These findings support the ADAPTOR framework, such that reserve capacity, adaptation, the exposome, and their confluence differentially impact various consequences. This ultimately highlights the importance of taking a dynamic, process-oriented, and multifaceted approach to studying resilience. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Real-Time and Interactive Fluid Modeling System for Mixed Reality.

Within the realm of mixed reality, the capability to dynamically render environmental effects with high realism plays a crucial role in amplifying user engagement and interaction. Fluid dynamics, in particular, stand out as essential elements for crafting immersive virtual settings. This includes the simulation of phenomena like smoke, fire, and clouds, which are instrumental in enriching the virtual experience. This work showcases a cutting-edge system developed to produce dynamic and interactive fluid effects that mirror real captured data in real-time for mixed reality applications. This innovative system seamlessly incorporates fluid reconstruction alongside velocity estimation processes within the Unity engine environment. Our approach leverages a novel physics-based differentiable rendering technique, grounded in the principles of light transport in participating media, to simulate the intricate behaviors of fluid while ensuring high fidelity in visual appearance. To further enhance realism, we have expanded our framework to include the estimation of velocity fields, addressing the critical need for fluid motion simulation. The practical application of these techniques demonstrates the system's capacity to offer a robust platform for fluid modeling in mixed reality environments. Through extensive evaluations, we illustrate the effectiveness of our approach in various scenes, underscoring its potential to transform mixed reality content creation by providing developers with the tools to incorporate highly realistic and interactive fluid seamlessly.

CHILDREN WITH THIS DISEASE AND THEIR EPIDEMIOLOGY, ETIOLOGY, PREVENTION, TREATMENT

Congenital cleft lip, alveolar process and cleft palate are among the most difficult deformities of the maxillofacial region, the number of children with such deformities is 1 per 1000 newborns and continues to grow [3, 4, 13, 18]. Treatment and rehabilitation of such patients is an urgent problem due to abnormal facial development and secondary deformities, speech and chewing disorders, a long recovery period and the need for social adaptation of the child [8]. Modern literature describes the treatment of children with complications of cleft lip and palate, and there is an opinion about the need for an integrated approach [11, 19]. Children with this disease can receive full-fledged rehabilitation and social adaptation in specialized medical centers [7, 14]. The aim of the work is to demonstrate the effectiveness of interaction between orthodontists and maxillofacial surgeons on the example of a clinical case of complex rehabilitation of a patient with congenital cleft of the left upper lip, alveolar process and cleft palate.

Association Between Dietary Fiber Intake and Sleep Disorders: Based on the NHANES Database.

Utilizing data from the National Health and Nutrition Examination Survey (NHANES) database, the primary objective of this investigation was to examine the relationship between dietary fiber intake (DFI) and sleep disorders. For analysis, data from three consecutive cycles of NHANES (2009-2014) were pooled. The independent variable of interest was DFI, while the dependent variable was sleep disorders. Weighted logistic regression was employed to model the relationship between the two variables. Subgroup analyses were conducted, stratified, and adjusted to explore the association between DFI and sleep disorders. This study encompassed a cohort of 14,360 samples. Logistic regression results revealed a significant inverse association between higher DFI and the risk of sleep disorders (OR: 0.99, 95% CI: 0.98-1.00, p = 0.005). Stratified analysis demonstrated significant interactive effects of gender and physical activity on the association between DFI and sleep disorders (interaction p = 0.017, p = 0.061). Quartile-stratified analysis of DFI showed that in the crude model, Q4 exhibited a significant protective impact against sleep disorders (OR: 0.76, 95% CI: 0.59-0.97, p = 0.026). In model I, which adjusted for demographic characteristics only, Q3 (OR: 0.74, 95% CI: 0.56-0.98, p = 0.036) and Q4 (OR: 0.70, 95% CI: 0.55-0.90, p = 0.006) had significant protective effects on sleep disorders. Additionally, gender subgroup analysis revealed that DFI had a significant impact on the female population, particularly in postmenopausal women, and was more pronounced in subjects with BMI > 30kg/m2 (p = 0.011). Within the physical activity subgroup, there was a certain effect of DFI on improving sleep disorders in individuals with low activity intensity. Increasing DFI had a protective effect in reducing the risk of sleep disorders. This protective effect may be more pronounced in the female population and individuals with low physical intensity.

Interactive effect of dietary metabolizable energy levels with amino acid density in male broiler chickens: carcass yield, nutrient intake, digestibility and excretion

This study aimed to assess the interactive effects of ME and digestible amino acid (AA) densities on carcass yield, breast meat quality, nutrient digestibility, and excretion in male broiler chickens. Twelve experimental diets arranged as a 4 × 3 factorial array with 4 levels of ME (standard, -50, -100, -150 kcal) and 3 digestible AA (standard, +3.0 and +6.0%) were offered to 2400 day-old male Ross 308 broiler chickens. Diets were replicated 8 times with 25 birds per replicate, and fed for starter (0-10 d), grower (11-24 d), finisher (25-35 d), and withdrawal (36-42 d) phases, with consistent reduction of ME and increase in AA density for each phase. On day 24, three birds per replicate were euthanized to collect digesta for nutrient digestibility and excreta samples were collected on day 40 for nutrient excretion analysis. On day 42, four birds per replicate were euthanized for carcass yield and quality evaluation. The birds' feed intake, along with calculated ME and AA levels, were used to determine nutrient intake. No interactions were observed between ME and AA densities on carcass characteristics, nutrient digestibility, and excretion (P > 0.05). Reducing ME density linearly increased breast meat yield and decreased abdominal fat, regardless of AA density (P < 0.01). Increasing AA density enhanced breast meat yield but increased white striping and woody breast scores in a linear manner (P < 0.01). Dietary treatments didn't affect ileal digestibility of crude protein and gross energy, except for improved starch digestibility with 6.0% AA density (P < 0.01). Crude fat digestibility decreased linearly with decreased ME density, while reducing ME density linearly decreased fat, calcium, copper, and manganese excretion (P < 0.01). Increasing AA density linearly increased nitrogen excretion, but reduced calcium and iron excretion (P < 0.05). Over the entire production period lower ME and higher AA density increased digestible lysine intake (mg/bird/day; P < 0.01). In summary, these results suggest that dietary ME and AA density, independently, affect carcass yield, breast meat quality, nutrient digestibility, and excretion.

Effectiveness of Drama and music therapies as health communication interventions for reducing anxiety and posttraumatic disorders among children-victims of flood

This study examined the usefulness of drama and music therapies as communication strategies for reducing symptoms of post-traumatic stress disorder (PTSD) and generalised anxiety disorder (GAD) among school children (aged 10-16) who were victims of the 2022 floods in Nigeria. The researchers randomly assigned the children to control (n=122) drama therapy (n=120) and music therapy (n=120) groups. The result of the study revealed that after the intervention, school children in the drama and music therapies (unlike those in the control group) reported a significant reduction in their PTSD and GAD symptoms; the reduction achieved statistical significance (p=0.001, ηp2 =.48). Further results revealed a significant interactive effect of gender (p=0.001) with boys reporting a significant reduction more than girls. The results showed that drama therapy contributed more to reducing PTSD symptoms, while music therapy contributed more to reducing GAD symptoms. The difference did not achieve statistical significance (p=0.23). The researchers conclude that both drama and music therapies were associated with reduced symptoms, indicating the interventions may be beneficial therapies.

Interaction of the Far-red Radiation Intensity and CO2 Concentration during Early Indoor Production Stages of Red Leaf Lettuce

Although far-red (FR) radiation (700–750 nm) is beyond the traditional photosynthetically active radiation (PAR) waveband (400–700 nm), recent findings suggest equivalent or similar photosynthetic action when applied along with shorter PAR wavelengths. Potential interactive effects of FR with other environmental factors that affect photosynthesis, such as CO2, have not been widely established. In the present study, the effects of four FR photon flux densities (0, 20, 40, or 60 µmol·m−2·s−1) substituting for red (R; 600–700 nm) in combination with three CO2 concentrations (400, 800, or 1200 µmol·mol−1) were investigated at three distinctive stages of young red lettuce production. We tested whether the photomorphogenic response of young plant leaves to FR would result in a higher light interception area, as well as whether interactive effects of CO2 with FR might modify the effects of FR alone. The total photon flux density (TPFD) was maintained at a low limiting intensity of 200 µmol·m−2·s−1 (daily light integral: 11.5 mol·m−2·d−1), consistent with indoor commercial setpoints for sole-source lighting. Although blue (B; 400–500 nm) was held constant at 20 µmol·m−2·s−1 for all treatments, different combinations of R and FR were adjusted. Red oakleaf lettuce (Lactuca sativa ‘Rouxai’) used as a model test crop was harvested at 14 days (small baby greens), 18 days (standard baby greens), and 22 days (teen greens) after sowing. Crop productivity was highest at 800 µmol·mol−1 CO2 for small and standard baby stages. At the teen green stage, plant productivity was similar for the two elevated CO2 concentrations. The FR substitution for R did not affect dry biomass accumulation at all CO2 concentrations tested, thus supporting equivalent photosynthetic action. A photomorphogenic effect of FR that elongated but did not increase the area of leaves persisted from the earliest to the most mature stage of crop development tested. The FR inclusion in the light recipe resulted in longer, thinner leaves with lower biomass compared to those without FR. At higher FR fluxes, purple pigmentation reduction occurred. However, the interaction of elevated CO2 with FR radiation counteracted purple pigment reduction caused by FR alone. Substitution of FR in the light recipe for indoor production of young ‘Rouxai’ lettuce at low limiting light intensity did not improve productivity, even in combination with elevated CO2.

A rate-dependent crack bridging model for dynamic fracture of CNT-reinforced polymers

Carbon nanotubes (CNTs) improve the fracture toughness of polymer-based matrix composites by bridging the crack growth path. This research presents a finite element (FE) rate-dependent crack bridging model of Mode-I dynamic crack growth in CNT-reinforced polymers accounting for rate of loading and rapid crack growth. Two distinct CNT bridging and matrix cracking damage mechanisms are taken into account in the fracture process zone (FPZ) accounting for the dissipation of fracture energy. A viscoelastic-viscoplastic material model is adapted for the matrix phase to capture the strain rate effects. The crack in the matrix phase is modeled using cohesive zone elements characterized by experimental data. A rate-dependent traction-separation law obtained from CNT pull-out simulation at relevant crack opening speeds is used to simulate the CNT bridging in the FPZ. Considering the given traction-separation law as a constitutive equation, the CNTs are replaced with non-linear spring elements to facilitate the FE simulation of crack bridging with numerous CNTs in the FPZ. The proposed rate-dependent FE model for crack bridging enables the study of the effect of key CNT factors such as length, orientation, waviness, volume fraction, and agglomeration on fracture energy dissipation at various crack speeds. The developed model can simultaneously consider the interactive effects of all CNT parameters which is useful for considering all processing-induced uncertainties in analyzing the effects of CNTs on the dynamic fracture toughness of nanocomposites.

Historic Land Use Modifies Impacts of Climate and Isolation in Rear Edge European Beech (Fagus sylvatica L.) Populations.

Legacies of human land use have the potential to impact demographic responses to climate. However, few studies have investigated the interactive effects of land use legacies and climate change on tree demography. The demographic performance of rear edge populations in particular is an important determinant of a species' long-term persistence. In this study, we investigated whether human land use legacies affect demographic responses to climate and population isolation in rear edge European beech populations (Fagus sylvatica L.) at the temperate-Mediterranean transition zone in the NE Iberian Peninsula. We utilised data from the Spanish Forest Inventory and generalised linear mixed models to compare the potential interactions across four different demographic rates (tree growth, survival probability, new adult recruitment and sapling recruitment). We found that the demographic rates were affected by the combination of land use legacies, climate and population isolation in different ways, which could potentially lead to complex shifts in future population dynamics under climate change. We identified that intense historic management either magnified negative relationships between tree demography and climate or population isolation, or reduced demographic performance in favourable climates to levels observed in unfavourable climates. Through either form of interaction, we found that intense historic forest management had a negative impact on tree demography, which has the potential to compromise future carbon stocks and long-term population viability. Overall, we show that disentangling human and environmental factors can enable us to better understand heterogeneous demographic performance across the rear edge of species distributions.

Coupling and coordination of food security and agricultural carbon emission efficiency: Changing trends, influencing factors, and different government priority scenarios

Seeking a balance between food security and carbon mitigation is key to achieving sustainable agricultural development. This study evaluates the coupling coordination degree (CCD) between the food security index (FSI) and agricultural carbon emission efficiency (ACEE) in China from 2010 to 2021 using the coupled coordination model. By adjusting the model coefficients, different government priority scenarios are simulated to explore their impact on CCD. The Geodetector method is employed to identify the influencing factors of CCD, investigate their interactions, and assess the differences in these factors across various government priority settings. The average CCD between FSI and ACEE exhibits a notable upward trend, rising from 0.4583 in 2010 to 0.6595 in 2021. Furthermore, regional disparities are widening, particularly in the major production areas. Catch-up effects exist within regions. Policy simulations showed staged interactions between food security and agricultural carbon efficiency, shifting from food security to balanced production and ecology, then to prioritizing low-carbon production for food security. Adjusting policy priorities can effectively improve coupling coordination in the short term, with increasing impact as priority shifts. CCD is influenced by policy, technology, economy, and society, varying with policy priorities. In the baseline scenario, key factors for CCD include the urban-rural income gap, technological advancement, urbanization, and farmers' education level. When the government prioritizes food security, the impact of narrowing income gaps and agricultural industry agglomeration becomes more pronounced. Conversely, emphasizing carbon emission efficiency enhances the influence of technological advancements and urbanization on CCD. Tailoring agricultural production strategies to local conditions and emphasizing interactive effects among factors is crucial for achieving environmentally friendly and high-quality agricultural development goals.

Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models

Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal relationship between target variables and AD performance, this study developed four machine learning models to predict biogas yield and consider the interaction among various factors. Results indicated that the highest prediction accuracy of AD performance was achieved by adding bacterial genera dataset with environmental factors. Random forest model exhibited the highest accuracy, with the testing coefficient of determination equal to 0.9879. Among two types of input features, the bacterial genera accounted for 89.9 % of the impact on biogas yield, followed by environmental factors. The results revealed Keratinibaculum and Acetomicrobium as critical bacteria. The volatile fatty acid controlled below 2000 mg/L and the improved stirring system in AD process were recommended to achieve maximum biogas yield.

Long-term tillage and crop rotation effects on soil carbon and nitrogen stocks in southwestern Ontario

Conservation tillage and crop rotation diversification have been promoted to increase soil C and N storage; however, the interactive effects of tillage and crop rotation on soil C and N dynamics remain contradictory. Using a long-term (24-yr) experiment established at a clay loam site (Orthic Humic Gleysol) at Ridgetown, Ontario, Canada, the interactive effects of five crop rotations and two tillage systems were tested on soil organic C (SOC) and total N storage in soil depth increments and in the full soil profile (0-0.6 m) in 2019. While crop rotation influenced SOC and total N concentration in top 0.2 m, these effects were minimized when storage was expressed on an equivalent soil mass basis. Over the 0-0.6 m depth, no-tillage had 24 Mg SOC ha-1 and 4.7 Mg total N ha-1 greater content, respectively, than conventional tillage, supporting the value of no-tillage on increasing soil C and N in the long-term. Interestingly, no interactive effects of crop rotation and tillage on soil C and N storage in 0-0.6 m were observed. While the type of crop species and amount of C and N inputs under different crop rotations are important variables impacting the soil C and N storage, our results suggest that the crop rotation diversity was not a major driver of soil C and N in this study. Future mechanistic investigations exploring the persistence and linkage of soil C and N with crop rotation diversity in the tested production systems are needed.

Study on the Interactive Effect Between Public Library Construction and Human Capital Investment Efficiency

This paper measures the public library construction (PLC) level and the human capital investment (HCI) efficiency of 31 provinces in China from 2011 to 2021, tests the linkage effect and coupling coordination between PLC and HCI. The results show that: 1) the PLC level and the HCI efficiency of China shows a trend of rapid increase and fluctuating decrease respectively during this period, but the gap between regions is obvious. Both the PLC level and the HCI efficiency in the eastern region are obviously better than those in the central region and the western region. 2) There is not only a positive linkage effect between PLC and HCI efficiency, which promotes each other, but also the level of collaborative development between PLC and HCI efficiency shows a steady upward trend, with the coupling level reaching level 6, which is about to enter the primary coordination state, but there are obvious regional differences.

An Empirical Analysis on Institutional Quality, Fiscal Policy and Debt Sustainability in Sub-Saharan Africa (SSA)

Many Sub-Saharan African (SSA) countries are finding it difficult to fulfill their massive debt repayment obligations, which bilateral financial institutions have declared to be unmanageable. Government institutions are to blame for such disparities in the budgetary components, which have been empirically confirmed to be detrimental. Part of the reason for SSA's income generation and debt management problems is related to fiscal policy components where there has been an unwarranted exaggeration of government expenditure. Accordingly, the current study used a panel Autoregressive Distributed Lag (ARDL) to examine how fiscal policy and institutional quality affected the sustainability of debt in 48 SSA nations between 2008 and 2022. The study’s findings suggested that the elements of fiscal policy (expenditure and revenue) as well as indicators of institutional quality (governance), such as control of corruption, effectiveness of government, political stability, absence of violence, regulatory quality, the rule of law, voice, and accountability, were important in explaining the long-term sustainability of public debt. The speed of adjustment to the long-run equilibrium was slow, which may be related to the unstable governance in each of the cross-sectional nations. Hence, the study concluded that the interactive effects of institutional quality and fiscal policy significantly influenced debt sustainability in the long run. The study’s conclusions can be very helpful to policymakers, particularly in those nations where major fiscal and external imbalances are being generated by low ratings for key institutional quality indices.

Carbon offset payment intentions in aviation industry: Altruism vs. Egoism and airline sustainability

Purpose The issue of excessive carbon emissions continues to be a critical global challenge. As a prominent mode of transportation for long-distance travel, aircraft is widely acknowledged as a significant source of these emissions. Carbon offset initiatives function as ecological measures, helping to reduce the negative environmental impact. This study aims to explore how benefit appeals (BA) within the aviation industry impact tourists’ carbon offset payment intentions (COPIt). Design/methodology/approach In Studies 1 and 2, scenario-based experiments were conducted to explore how goal framing (GF) and (BA) interact to influence COPIt. Study 2 further investigated the mediating roles of moral responsibility and trust in airlines within this interaction. Study 3 used real-world surveys to examine the moderating influence of moral elevation, thereby supporting the interactive effects and mediation mechanisms identified in the earlier studies. Findings Across three studies, the authors consistently identified pivotal factors shaping COPIt in the context of air travel. Study 1 revealed that the combination of BA and GF significantly impacts COPIt, with egoistic appeals linked to loss framing and altruistic appeals connected to gain framing being particularly effective in encouraging COPIt. Study 2 extended these insights by showing that moral responsibility and trust in airlines serve as mediators between BA, GF and COPIt. In Study 3, moral elevation was found to moderate the influence of BA and GF on both moral responsibility and COPIt, deepening the understanding of these dynamics. Originality/value This study expands the range of factors affecting COPIt and delves into the underlying mechanisms through which BA and GF shape COPIt. Additionally, it advances current understanding by revealing the intricate processes influenced by moral elevation. The findings not only contribute to the existing knowledge on COPIt determinants but also offer practical guidance for the aviation industry and related sectors in promoting tourists’ participation in carbon offset programs.

Physical climate change risk and ESG green premium

ABSTRACT We build an asset pricing model that incorporates climate change risk and firms’ ESG engagement to analyse their interactive effects on equity returns. Our model shows that a firm’s ESG engagement has three channels for influencing stock returns: its direct impact on resisting climate change risk, indirect reduction in systematic risk and attraction of green preference, and the empirical evidence shows that both risk–return relation and ESG engagement are priced. We also point out an inevitably negative and convex relation between the market Sharp Ratio and stocks market beta in an economy with climate change risk.

Measuring Rurality and Analyzing the Drivers of Rurality in Megacities—A Case Study of Shanghai, China

The Rurality Index is an important reference for the formulation of rural development strategies and policies, but the evaluation of the rurality of megacities based on the township scale is relatively limited. Based on the perspective of spatial governance, this study constructed the evaluation index system of Shanghai’s rurality and carried out the evaluation of Shanghai’s rurality at the township scale from 2005 to 2020. The article adopts the MGWR model to analyze the driving effects of five key driving factors (the proportion of foreign population, per capita industrial output value, public finance revenue, social fixed asset investment, and rail transit coverage), and adopts the Geo-Detector model to analyze the interactive driving effects of two factors. The results indicate that the rurality index of megacities and townships as a whole shows a weakening trend, and the above factors have a predominantly negative impact on rurality, with differences in the intensity of the impact in different periods. There is an obvious interactive additive effect between the factors. When formulating policies for township development, government departments need to take into account the functional positioning of the region and comprehensively adopt targeted policies on population, industry, transportation, finance and investment to regulate and guide the transformation or sustainable development of the countryside.

Association Between Maternal Weight Perception Before and During Pregnancy and Postpartum Depression Status in Southern China.

Postpartum depression (PPD) is a common complication after childbirth. Weight misperception can lead to self-esteem issues and mental health problems, especially in women and adolescents. The aim of this study was to investigate the association between weight perception before and during pregnancy and the status of PPD in Southern China. From October 2021 to November 2023, a multi-stage sampling method was used to recruit 2169 eligible mothers aged 18-49 who had delivered live-born singleton infants within 3 to 180 days postpartum. Anthropometric measurements and face-to-face questionnaire surveys were conducted to collect data. The Kappa test was used to assess the agreement between actual and perceived weight. The generalized linear model incorporating multiplicative interaction analysis was applied to explore the associations among variables. The prevalence of PPD status was 18.0%. Among women, 35.2% perceived their pre-pregnancy weight (PPW) as abnormal, while 33.1% perceived their gestational weight gain (GWG) as inappropriate. There was poor agreement between maternal actual and perceived PPW/GWG (Kappa = 0.366, p < 0.001; Kappa = 0.188, p < 0.001), with 27.8% of women misperceiving their PPW and 52.1% misperceiving their GWG. The results of the general linear model indicated that women who perceived their PPW as underweight (β = 0.70, p = 0.016) or overweight/obese (β = 0.86, p < 0.001), as well as those who perceived their GWG as excessive (β = 0.47, p = 0.028) were more likely to exhibit PPD status. The interaction analysis results showed that those who perceived their PPW as underweight and their GWG as insufficient (β = 1.75, p = 0.020), as well as those who perceived their PPW as overweight/obese and their GWG as excessive (β = 0.90, p = 0.001) had a positive interactive effect on the occurrence of PPD status, while underestimating PPW and GWG may be a protective factor against PPD status (β = -1.03, p = 0.037). These findings support that maternal weight perception plays a role in the development of PPD status. Further improvement is needed in personalized health education for weight management, both prior to and throughout the pregnancy period. This can help women reduce weight anxiety, better understand their body image, and potentially lower the risk of developing PPD.

Incivility, bullying, and poor health and well-being among students: a Swedish national study in higher education institutions.

Exposure to incivility and bullying among students in higher education institutions may have detrimental health and well-being outcomes. Nevertheless, the mechanism and interconnected pathways through which incivility and bullying are linked with poor health and well-being remain largely unexplored. The aim of this study is to investigate the relationships between incivility, bullying, and poor health and well-being among students in higher education institutions in Sweden, and whether gender influences these relationships. Furthermore, we examine whether bullying plays a mediating role in the relationship between incivility and poor health and well-being. We analyzed a cross-sectional dataset of students drawn from 38 universities that are members of the association of Swedish higher education institutions. The data were collected from May to July 2021, covering 11,162 women and 6,496 men. Confirmatory factor analysis and structural equation modeling (SEM) were utilized to estimate the relationships between incivility, bullying, and poor health and well-being. Additionally, multigroup analysis was applied to estimate the interactive effect of gender in these relationships. Reports of both incivility and bullying were more prevalent among women than men. The results showed that incivility had direct relationships with both bullying and poor health and well-being . However, the relationship between bullying and poor health and well-being was not significant. There were statistically significant gender differences in the relationships between incivility, bullying, and poor health and well-being ( . Nevertheless, bullying did not significantly mediate the relationship between incivility and poor health and well-being. The current study demonstrates that governments, university authorities, and policymakers must consider gender differences in incivility and bullying when developing policies and interventions intended to reduce these kinds of behaviors in organizations.

The relationship between teacher-student relationships and academic grades among Chinese rural high school students: the moderating role of mental health symptoms and the conditional moderating effect of academic resilience.

This study examines the relationship between Teacher-Student Relationships and academic grades among Chinese rural high school students, focusing on the moderating role of mental health symptoms and the conditional moderating effect of academic resilience. A moderated moderation analysis was conducted via Mplus on data collected from a sample of rural Chinese high school students. SEM was used to test the direct and interactive effects of these variables on academic outcomes. Teacher-Student Relationships were found to have a significant positive association with students' academic grades. Academic resilience plays a conditional moderating role, with students who have higher levels of resilience better able to maintain their academic performance, even when facing psychological distress. This suggests that resilience can buffer the impact of challenges, enhancing the positive influence of TSRs on academic outcomes.