Work-A Journal of Prevention Assessment & Rehabilitation最新文献

BackgroundFor any organization, it is crucial to understand that its internal CSR practices should be perceived positively and enhance satisfaction and happiness, ultimately leading to its employees' long-term intention to stay and improved job performance.ObjectiveDrawing on social exchange theory and social identity theory, the study examines the role of internal CSR in promoting employee happiness, intention to stay, and job performance through top management support.MethodsThe data were collected using a self-administered survey and convenience sampling. Initially, 450 questionnaires were distributed among hotel staff at various levels; however, only 293 questionnaires were used for further analysis. Notably, 70.30% of the respondents were male and 29.70% female, with the majority being young adults aged 20-30 (53.24%) and 30-40 (25.94%). PLS-SEM using Smart PLS (4.0) was used to test the proposed hypotheses.ResultsTop management support moderates the relationship between internal CSR and happiness at work. The findings also show that happiness at work mediates the relationship between internal CSR and employee intention to stay. Intention to stay mediates the relationship between happiness at work and employee job performance. Finally, the study results indicate that happiness at work and intention to stay sequentially mediate the relationship between internal CSR and employee job performance.ConclusionsInternal CSR practices such as work-life balance initiatives, fair treatment, employee development, and inclusive policies are essential for promoting well-being. Organizations that focus on these practices are better able to improve employee satisfaction, happiness, their long-term stay, and job performance.

BackgroundIn the structure of military traumatism, the number of multiple and combined wounds and injuries has increased significantly due to the increase in the destructive properties of modern weapons. Most blast wounds are characterized by multiple damage to blood vessels and nerve fibers and significant defragmentation of muscles and skin. All such wounds are considered initially infected, which is an additional aggravating factor. The establishment of a correct rehabilitation diagnosis and subsequent stage-by-stage assessment of the results of rehabilitation therapy should be based on adequate functional assessment tools. The FIM is one such tool that had not been previously recommended for use in any Ukrainian guideline.ObjectiveThe aim of the study was to investigate the possibility of using the Functional Independence Measure as an additional tool for assessing the effectiveness of rehabilitation of military personnel in Ukraine with combined injuries over a long period of time.Material and MethodsA retrospective study was conducted of 807 wounded Ukrainian servicemen with complex injuries of varying severity. Examination included a meticulous analysis of medical records, a comprehensive physical examination, and a survey using the FIM scale. Due to the nature of the injuries, the servicemen were provided with standard rehabilitation programs.ResultsAll patients were classified as lightly injured and moderately injured according to the Abbreviated Injury Scale. The examined wounded had an initial assessment of more than 6 points on the FIM scale. Initial data in the assessment of functioning on the FIM scale allowed the identification of two different subgroups of patients: one with a predominance of motor function impairment, and the other, predominant cognitive impairment. Reliable positive changes of the total FIM indicator were observed in all patient groups. The primary improvement in the groups with traumatic brain injury (TBI) was attributed to enhancements in cognitive abilities. Patients with the lowest initial motor abilities (combined upper and lower extremity trauma group) demonstrated the highest increase in this area.ConclusionsInclusion of the FIM scale in the recommended toolkit for assessing the effectiveness of rehabilitation will allow for additional objectification of rehabilitation care and the formulation of individual recommendations for achieving the best rehabilitation results.

BackgroundWith the acceleration of coal mine intelligence transformation, new generation miners (NGM) are gradually becoming the main force of production. The correlation between their work alienation (WA) and unsafe behavior (UB) has become a core challenge of safety management.ObjectiveThis study aims to explore the influence mechanism of WA on NGM' UB and test the mediating function of organizational identification (OI) and work engagement (WE) as well as the moderating effect of psychological capital (PC).MethodsThis study takes 355 NGM from Shanxi Datuhe Coking Co., Ltd in China as a sample, adopts the structural equation model and Bootstrap method to conduct data analysis, and examines the relationship between variables and their function mechanism.ResultsWA is significantly positively correlated with UB; OI and WE independently mediate this relationship, with empirical evidence of chain mediation under generational characteristics in high-risk industrial settings. PC significantly moderates the negative impact of WA on OI and WE, and individuals with high PC can effectively buffer the negative impact of alienation.ConclusionsThe study innovatively integrates PC theory with JD-R model, revealing WA affects NGM' UB through OI and WE sequentially. PC buffers WA's negative influence on these mediators particularly in high-risk industries. Strengthening OI, enhancing WE, and cultivating miners' PC can mitigate alienation's adverse outcomes, providing strategic insights for coal mine safety management.

BackgroundPhysical activity is essential for preventing chronic disease and maintaining overall health. However, hospital nurses may face challenges maintaining adequate physical activity due to demanding work schedules and occupational stressors.ObjectiveTo examine the levels of physical activity among hospital nurses in Jordan and to identify demographic, occupational, and health-related factors associated with physical activity.MethodA cross-sectional survey was conducted among 750 nurses across Jordanian hospitals, with 597 respondents (80% response rate). Validated self-administered questionnaires were used to assess demographic, work characteristics, psychological well-being, sleep quality, musculoskeletal pain, and physical activity. Descriptive statistics summarized participant characteristics, and multiple linear regression was performed to identify independent associations with physical activity levels.ResultsThe mean age of participants was 32.1 years, and average work hours were 43.4 h per week. Approximately 31% of nurses report moderate physical activity levels, while 40% reported high physical activity levels. Higher physical activity levels were independently associated with longer work hours (β = 46.1; 95% CI: 1.9 to 90.2), more frequent night shifts (β = 163.8; 95% CI: 11.8 to 315.7), and more musculoskeletal pain sites (β = 254.9; 95% CI: 171.3 to 338.7). Having a chronic disease was significantly associated with lower physical activity (β = -1384.1; 95% CI: -2443.5 to -324.1).ConclusionMost nurses met recommended physical activity levels, and their engagement in physical activity was influenced by work demands and health status. Workplace health promotion initiatives should consider these factors to effectively support and sustain physical activity among hospital nurses.

BackgroundOne of the riskiest industries in the world is the construction industry, where employees are subjected to accidents. To reduce these risks, personal protective equipment (PPE) is introduced. Many technical advancements are happening around the globe. However, such advancements are lacking in the construction industry and PPE kits.ObjectiveThis study reviews how product design affects the design of safety boots used in the construction sector.MethodsA systematic literature review was conducted using SCOPUS, Google Scholar, PubMed, and ScienceDirect databases, focusing on peer-reviewed journal articles published in English over the last ten years (2014-2024). Articles were selected based on a detailed screening process, including evaluations of titles, abstracts, and full texts, to ensure relevance to the study. Following the PRISMA approach, 30 papers were identified using keywords such as "safety boots," "construction industry," "ergonomics," "IoT," and "AI." These selected studies were analyzed to identify key research questions, findings, and gaps within the field.ResultsResearch has indicated that factors that influence the boot wear design in the construction industry are materials, pressure point, shaft height, shaft weight, boot weight, sole height, foot arch, toe box, ergonomics, foot morphology, technological advancement, etc, all these factors can, directly and indirectly, affect the function, durability, and comfort of the boots. An ergonomically advanced boot can decrease pain, musculoskeletal disorders, and wounds. Artificial intelligence can be directly used in the design process for refinement, prototyping, and analysis. Data analysis, communications, and coordination can be increased by using advanced smart boots. In short, incorporating ergonomics, technologies, and AI can improve the user experience and worker safety.ConclusionBy better understanding the relationship between product design, material, ergonomics, technology and AI, the design of safety boots can promise more comfort and safety. Many factors like toe box, sole height, foot arch, shaft height, weight can directly affect the function of a boot. New materials like cordura, sympatex can be used for making membranes of the boots. Temperature, biometric, chemical sensors, and AI can increase the safety and data analysis. But further research has to be done on many factors like shaft height, weight, sensors, and usage of AI in design process and manufacture. Designing a smart safety boot for construction workers has good scope. The manufacturers can create boots that exceed workers' expectations, thereby providing a safer and more productive work environment.

BackgroundIndividual characteristics, cultural or social background, and present circumstances all influence the elements considered significant in an individual's self-evaluation of life happiness. These factors interact in complex ways, making life satisfaction a deeply personal and contextual experience.ObjectiveThis study examined the mediating influence of work-family conflict on the impact of dark triad personality traits on the life satisfaction of academicians employed in higher education institutions.MethodsData were collected by reaching 496 academicians from different disciplines through an electronic survey method. The concepts of life satisfaction, dark triad personality traits, and work-family conflict, as well as the relationships between the concepts, were examined. Confirmatory Factor Analysis (CFA), correlation, and regression analysis were applied to analyze the data set obtained. Structural Equation Modeling (SEM) was used for the mediation test and path analysis.ResultsThe findings of the study indicate that work-family conflict serves as a partial statistical mediator (p < 0.05, β = 0.112) in the relationship between dark triad personality traits and life satisfaction. Dark triad personality traits affect life satisfaction negatively (p < 0.05, β = -0.196) and work-family conflict positively (p < 0.05, β = 0.470).ConclusionThe findings revealed that work-family conflict mediated the relationship between the dark triad traits and life satisfaction by reducing the negative effects of these traits. Stated differently, those with the dark triad personality traits report lower levels of life satisfaction; however, this decline is mitigated when the person also experiences work-family conflict.

BackgroundDue to the unique nature of their work, automotive manufacturing workers are prone to mental health issues. However, in China, few studies have explored the interactive mechanisms among factors affecting their mental health.ObjectiveThis study analyzes the mental health status of workers in the automotive manufacturing industry in Chongqing, China, aiming to provide assistance in improving their mental well-being.MethodsUsing the stratified cluster sampling method, 1296 survey subjects were randomly selected. Data were collected through a questionnaire survey and analyzed using structural equation modeling.ResultsThe prevalence of mental health problems was 20.91%. The results of univariate analysis showed that gender, age, marital status, average weekly working hours, and the need to work night shifts had varying degrees of effect on workers' mental health (P < 0.05). Structural equation modeling showed that occupational health literacy, work-related musculoskeletal disorders (WMSDs), and working time arrangement all had an effect on mental health, with total effects of -0.153, 0.269, and 0.204, respectively, with occupational health literacy having an indirect effect of -0.034 on mental health through WMSDs.ConclusionsThe detection rate of mental health problems among automobile manufacturing workers in Chongqing is high, and the level of occupational health literacy, the occurrence status of WMSDs, and the schedule of working hours are related to the occurrence of mental health problems, with WMSDs having the greatest impact on the mental health of manufacturing workers.

BackgroundElderly care facilities increasingly face labor shortages, physically demanding tasks, and a growing need for consistent service quality. Robotic technologies have the potential to alleviate workforce strain and improve care delivery, yet their effective adoption requires careful prioritization and planning.ObjectiveThis study aimed to identify key strategic factors that influence the adoption of robots in elderly care settings, focusing on improving workforce efficiency, safety, and standardization through a structured, decision-making framework.MethodsUsing the 4Ps innovation framework (Product, Process, People, and Place/Promotion), this research employed the Analytic Hierarchy Process (AHP) with 80 nursing hospitals, along with expert Focus Group Interviews (FGIs), to assess the relative importance of factors driving robot adoption in caregiving environments.ResultsStandardization and task homogenization were identified as top priorities for minimizing errors and enhancing service consistency. The study proposes a multi-stage implementation strategy, beginning with pilot adoption of simple-function robots and progressing toward complex applications aligned with institutional readiness. Key influencing factors include people innovation (reducing workforce burden) and process innovation (streamlining operations).ConclusionsThis study provides actionable insights into the strategic deployment of robotic services in elderly care facilities. The findings support phased robot integration as a means to enhance workforce support, promote operational safety, and ensure quality care for aging populations.

BackgroundCleaning and feeding tasks are manually undertaken on animal and poultry farms. The assessment of the physical load on the cardiovascular system of the workers is necessary for work organization.ObjectiveTo assess the cardiovascular load among the workers during cleaning and feeding tasks in the pig and poultry farms.MethodsCardiovascular load among the workers was estimated in two farm types, i.e., pig and poultry, by assessing the heart rate (HR) and oxygen uptake (VO₂). The HR responses of 36 participants were measured for two tasks namely cleaning and feeding in the selected farms. The VO₂ responses of the participants were measured in laboratory conditions to develop the relationship between HR and VO₂.ResultsThe mean working HR (HR_work) of the participants in the pig farms were 121 ± 4 and 102 ± 4 bpm during the cleaning and feeding tasks, respectively; the mean HR_work of the participants in the poultry farms were 125 ± 2 and 107 ± 1 bpm during the cleaning and feeding tasks, respectively. The mean working oxygen uptake (VO_2work) of the participants in the pig farms was lower than the poultry farms, and its values were 24.19 ± 1.76 and 14.56 ± 2.18 mL/kg/min during the cleaning and feeding tasks, respectively. The cardiovascular load is significantly (p < 0.001) different between the cleaning and feeding tasks for both farms.ConclusionsBased on the HR_work data, the cleaning task is classified as heavy intensity work for both farm types. In contrast, the feeding task is categorized as light intensity work on pig farms but moderate on poultry farms.