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Unintentional injuries pose a significant risk to children in early years globally. In particular, toddlers and preschoolers are vulnerable to injuries that occur at home. Despite the availability of preventive measures that can greatly reduce the risks of domestic injuries, some caregivers (e.g., parents) of children in early childhood may not fully implement these safety measures due to poor behavioral adherence or low awareness of the risk of domestic injury. Therefore, it is crucial to understand how caregivers in different cultural contexts approach injury prevention in the home environment. In this multi-cultural study, we investigated the motivational and belief processes underlying childhood domestic injury prevention among a total of 2059 primary caregivers (parents/guardians) of infant and toddlers (aged 2 to 6 years) across four societies, Australia (AU; N = 500), the United States (US; N = 500), Singapore (SG; N = 507), and Hong Kong (HK; N = 552), by applying the integrated model of self-determination theory (SDT) and theory of planned behavior (TPB). Our results support the key tenets of the integrated model and demonstrated cultural invariance model pathways across the four societies studied. In particular, the positive relationships among psychological need support, autonomous motivation, socio-cognitive beliefs, intention, and behavior adherence remained constant across societies. With a multi-cultural sample, this study provides valuable insights into the similarities and differences in motivation and beliefs surrounding childhood domestic injury prevention across these four societies.

Introduction: This study aimed to analyze the role of job involvement as a mediator in the relationship between tennis coaches' perceived organizational justice and their intention to leave, considering the unique professional context and demands of tennis coaching. Additionally, it sought to identify any generational differences in this model. The research categorizes perceived organizational justice into procedural and distributive justice, and job involvement into job attachment and job commitment., Methods: The study incorporated data from 201 coaches working at commercial tennis facilities nationwide. Perceived organizational justice and job involvement were measured using validated scales. The mediation model was tested using structural equation modeling (SEM), and a multi-group analysis was conducted to identify generational differences., Results: Results indicated that job involvement partially mediated the relationship between perceived organizational justice and turnover intentions, with distributive justice having a stronger total effect. The multi-group analysis revealed generational variances: distributive justice influenced turnover intentions more among the MZ generation, while procedural justice had a greater impact on the older generation., Discussion: These findings offer valuable insights for commercial tennis facilities aiming to reduce turnover and manage generational conflicts. Understanding the differential impacts of procedural and distributive justice on various generations can help tailor strategies to enhance organizational operation and employee retention., Conclusion: The study highlights the importance of perceived organizational justice and job involvement in influencing tennis coaches' turnover intentions. The generational differences observed suggest that targeted interventions based on generational characteristics can be effective in reducing turnover and improving organizational stability. Future research should explore other potential mediators and extend the model to different sports and organizational contexts., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2024 Kim and Kim.)

Equipped with advanced sensors and capable of relaying safety messages to drivers, connected vehicles (CVs) hold the potential to reduce crashes. The goal of this study is to assess the impacts of CV technologies on driving behaviors and safety outcomes in highway crash scenarios under diverse weather conditions, including clear and foggy weather. A driving simulator experiment was conducted and the multigroup structural equation modeling (SEM) was employed to explore the complex interrelationships between the propensity of traffic conflicts, utilization of CV alerts, weather, psychological factors, driving behaviors, and other relevant variables for two different crash locations, namely a straight section and a horizontal curve. Two latent psychological factors including aggressiveness and unawareness were constructed from driving behavior as vehicles passed by crash scenes such as brake, throttle, steering angle, lane offset, and yaw. The SEM can measure latent psychological factors and model interrelationships concurrently through a single statistical estimation procedure. Results of the multigroup SEM showed that CV alerts could significantly reduce the unawareness on a horizontal curve and thus lower the propensity of traffic conflicts. Additionally, the overall effect of foggy weather on conflicts was found to be positive on a horizontal curve, despite the potential benefit of improving situational awareness. In contrast, the single group SEM failed to reveal any significant interrelationships in its structural model by pooling data from both crash locations. The obtained insights can guide the development of driving assistance systems, highlighting the necessity of customization considering weather conditions and location-specific factors., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

This study examined whether perceiving an event as a trauma influenced a cognitive processing model explaining posttraumatic growth (PTG). A cross-sectional questionnaire survey was conducted with 311 university students from eight universities in Japan. The participants provided information about the most stressful event they had experienced and completed the expanded version of the PTG Inventory, Core Belief Inventory, Event Related Rumination Inventory, and Cognitive and Emotional Processing from Disclosure Inventory. A multi-group structural equation modeling was conducted by dividing the participants into two groups depending on whether they identified the most stressful event as a trauma. The model with no constraint showed a good fit. The model with partial constraint showed a better fit than the models with no constraint or full constraint. The difference of the model was seen as a covariance between the Event Related Rumination Inventory and the Cognitive and Emotional Processing from Disclosure Inventory. The results demonstrated configural invariance and partial metric invariance. This indicated that PTG would be recognized irrespective of whether the event was perceived as a trauma. This study also indicated that different factors out of the model could be associated with the ruminative process and disclosure process. The importance of focusing on the process of PTG, regardless of an individual's perception of the event, was emphasized, especially for factors related to rumination and disclosure.

This investigation challenged the proposition that physician patient-centeredness influences patients' experience-of-care (PEC). A theory-driven, three-factor, multigroup structural equation modeling design, using asymptotic-distribution-free and bootstrap estimation, with two national random and 5,000 bootstrap samples challenged the proposition's plausibility, measurement invariance, replicability, robustness against a competing model, and coherence with theory. The model fit [χ 2 (39) = 28, p =.900, RMSEA = .001, p = 1.00, CFI = 1.00], explaining 81 percent of PEC's variance; the proposition was invariant across samples, held against the competing model [χ 2 Δ(7) = 7.82, p = .97]; cross-validated against estimates from the 5,000 bootstrap samples; and agreed with theory. One standardized increase in patient-centeredness increased PEC, likelihood of recommending, and care ratings by .807, .765, and .771. Results converged in sustaining the plausibility of the proposition.

Purpose: This study drew upon the ecological system theory to demonstrate rural-urban differences in the relationships between the availability of recreational facilities, physical activity (PA), functional health status, and depressive symptoms in middle-aged and older Chinese adults., Methods: Nationally representative data (n = 5949) from the Chinese Health and Retirement Longitudinal Study (CHARLS, 2011-2013) were examined using the multigroup structural equation modeling approach., Results: The results suggest that higher availability of recreational facilities in the urban communities was associated with higher levels of leisure time physical activity (LTPA), better functional capacity, and less occurrence of depressive symptoms among urban participants. In contrast, LTPA engagement among rural participants was low and had negligible mitigating effects on functional decline and depressive symptoms. The findings also show that functional health status mediated the association between total PA and depressive symptoms in both rural and urban participants. However, high levels of total PA were directly associated with elevated depressive symptoms, suggesting that the context of PA and related socioeconomic factors might explain this association after the non-LTPA components were included., Conclusions: The findings highlight how complex patterns of intrapersonal, behavioral, and environmental correlates influence depressive symptoms in middle-aged and older Chinese adults. The context of PA should be considered when creating targeted strategies to prevent depressive symptoms. As an inactive lifestyle evolves with China's rapid urbanization, joint efforts from public health and urban planning should be made to promote LTPA and develop active living communities for achieving optimal health in later life.

We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers.

This study examined the influence of physicians' and nurses' patient-centeredness on the satisfaction of African American female Medicaid patients. A multigroup structural equation modeling design was used to test the hypothesized model and its stability across national random test (Nt=98) and cross-validation (Ncv=296) samples. The model fit well. Physician and nurse patient-centeredness significantly and consistently influenced patient satisfaction, explaining 73% of its variance. One standardized deviation increase in physician patient-centeredness increased patient satisfaction, likelihood to recommend, and ratings of care by .698, .665, and .644 deviations. The corresponding effects for nursing were .643, .613, and .594. These effects were consistent across national random samples. The study offers an evidenced-based model that sheds light on provider patient-centered-ness' influence on African American female Medicaid patient satisfaction.