Analysis Of Factors Research Articles

Screening for Breast Cancer Risk: An Analysis of Under-recognized Risk Factors and Comparison of Interventions.

Recognition of patients at high risk (HR) for breast cancer allows earlier screening and opportunities for risk reduction. We compare patients referred to our breast clinic as HR vs referrals for other reason (ROR) and found to be HR. We evaluate under-recognized factors and treatment differences. A retrospective chart review of patients found to be HR but referred for any reason to our breast clinic from July 2012 to December 2022 was performed. Referral reason, demographics, hormonal history, family history, and other risk factors were evaluated and compared (HR vs ROR). While other risk models were used for screening, Gail and Tyrer-Cuzick version 7 (TCv7) were used for comparison. Breast imaging received, hormonal therapy, and genetics referral evaluations were compared. 195 patients were referred to our breast team, 113 (58%) were referred as HR while 82 (42%) were ROR. Average age was 47 years old. 175 (91%) were Caucasian. 74 (65.5%) were referred for genetic testing, and 32 (26%) tested positive for a genetic mutation (n = 10, 12% ROR). 67 (35%) were recommended chemoprevention (n = 32, 16.4% took chemoprevention). 6 (3.1%) underwent prophylactic mastectomies and 163 (85%) had supplemental breast imaging. Comparison of HR vs ROR did not show significant differences in hormonal factors or treatments received; however, TCv7 was higher in the group referred as HR (P < .001). Our study showed that HR patients are more commonly referred secondary to family history but undergo similar treatments as those ROR. Accessibility to screening tools and education of risk factors, especially in minorities and those not otherwise being screened, may help better recognize HR.

Analysis of different factors on dental students' perception of a flipped classroom model: A 6-year follow-up study.

To evaluate different factors affecting two different cohorts of dental students' perceptions with the flipped classroom (FC) model in a preclinical dental course over six years. In 2016 (cohort #1) and 2022 (cohort #2), second-year dental students participated in FC model in a preclinical dental course consisting of pre-class recorded videos and lectures along with classroom interactive exercises. Students then completed an anonymous pen-and-paper survey evaluating three factors influencing students' overall study experience with the FC model. Survey responses from cohort #1 and cohort #2 were compared to assess the effect of generation, student demographics and COVID-19 pandemic on students' perceptions. When asked to rate the FC experience out of 5, the mean ratings of cohort #1 and cohort #2 were 4.3 (±0.9) and 4.0 (±0.8), respectively. Cohort #2 preferred viewing slides and videos prior to class and had a higher agreement that pre-class course materials were beneficial to class preparation. Conversely, cohort #1 had a higher agreement that in-class discussion and exercises helped them to learn course content. From cohort #2, 88.6% of males and 71.6% of females preferred the FC approach over traditional lecture. Both cohorts reported positively with the FC model of teaching. Cohort #2 had higher positive reports with the pre-class work and cohort #1 had a higher positive report with in-class work. Course design should reflect the students' points of view and learning perspectives with careful consideration of the student population in the classroom.

Analysis of clinical characteristics and factors affecting treatment responses in patients with pyoderma gangrenosum: a multicenter study of 239 patients☆

BackgroundPyoderma Gangrenosum (PG) is a chronic disease characterized by recalcitrant skin ulcers. ObjectiveWe aimed to evaluate the demographic, clinical characteristics, treatments and factors affecting the treatment responses of patients with PG. MethodsWe performed a multicenter study of 12 tertiary care centers. We analyzed the data of the patients who were followed up with a diagnosis of PG between the years 2012‒2022 retrospectively. ResultsWe included a total of 239 patients of whom 143 were female and 96 were male, with an average age of 54.2 ± 17.4 years. The most common treatment was systemic steroids (n = 181, 75.7%). Among these patients, 50.8% (n = 92) used systemic steroids as the sole systemic agent, while 49.2% (n = 89) used at least one adjuvant immunosuppressive agent. The independent factors determined in regression analysis to influence response to systemic steroids positively were disease onset age ≥ 30-years, negative pathergy, absence of leukocytosis, negative wound culture, presence of a single lesion, and absence of upper extremity involvement. Biological agents were used in 18.4% (n = 44) of the patients in the present study. We also analyzed pathergy positive PG and early onset (onset age < 30) PG separately due to their distinct clinical features which were revealed during statistical analysis. Study limitationsRetrospective nature of the present study. ConclusionsAnalyses of the factors influencing treatment responses are addressed in this study. Also, we concluded that investigation for accompanying autoinflammatory diseases of pathergy positive PG and early onset PG is necessary and the patients in these two groups are more resistant to treatment, necessitating more complicated treatments.

Analysis of bZIP transcription factors in Rhododendron simsii and functional study of RsbZIP6 in regulating anthocyanin biosynthesis

The basic leucine zipper (bZIP) transcription factors play a critical role in various plant biological processes, including anthocyanin biosynthesis. This study focuses on Rhododendron simsii, a notable ornamental species with insufficiently explored bZIP transcription factors. We identified 66 bZIP transcription factors in the R. simsii genome and conducted comprehensive bioinformatics analyses to determine their gene localization, phylogenetic relationships, grouping, gene/protein structure, duplication events, synteny, and expression profiles. Our analysis identified RsbZIP6, a homolog of HY5 known to influence anthocyanin biosynthesis in many plants, as a potential regulator of this pathway. We cloned the complete coding sequence of RsbZIP6, which encodes a 170-amino acid protein spanning 510 bp. Subcellular localization analysis verified the nuclear presence of the RsbZIP6 protein. RT-qPCR analysis revealed the highest expression of RsbZIP6 in petals, which correlated with anthocyanin accumulation. Transgenic experiments indicated that overexpressing RsbZIP6 in Arabidopsis enhanced anthocyanin accumulation by upregulating genes involved in anthocyanin biosynthesis (4CL, CHS, CHI, DFR, F3H, F3’H, ANS and UF3GT). Our findings enhance understanding of the bZIP transcription factor family in R. simsii and underscore the vital role of RsbZIP6 in anthocyanin biosynthesis, providing insights for future genetic enhancement strategies.

CFD analysis of key factors impacting the aerodynamic performance of the S830 wind turbine airfoil

The Global Wind Energy Council (GWEC) reported that in 2021, global wind capacity increased by 93.6 GW (+12%), reaching a total of 837 GW, most of which was contributed by wind turbines. Improving wind turbine performance primarily hinges on advancements in blade technology and airfoil design. This study examines the effect of profile thickness on the aerodynamic performance of the S830 airfoil at a Reynolds number of 25,148, as part of the NREL airfoil's aerodynamic performance research. However, the impacts of additional variables—such as angle of attack, Reynolds number, speed range, and particularly ice accretion—have not been thoroughly investigated. This study utilized a 2D CFD model provided by the commercial software ANSYS Fluent and FENSAP-ICE. The lift-to-drag ratio of the S830 wind turbine airfoil was examined, considering the effects of angle of attack, wind speed, Reynolds number, airfoil thickness, and ice accretion. Additionally, design-related solutions will be suggested. The research indicates that the optimal angle of attack increases the lift-to-drag ratio by approximately 250% compared to a zero angle of attack. An increase in wind speed causes this coefficient to rise nonlinearly within the studied velocity range. The Reynolds number directly influences the optimal angle of attack. According to CFD results, the lift-to-drag ratio can be increased by 50% if the airfoil's thickness is reduced by 20% compared to the original profile. For the ice accretion simulation model, a case test of the NACA 0012 airfoil was conducted to verify the model's parameters. Subsequently, a survey of this phenomenon on the S830 airfoil revealed that the lift coefficient decreased by 5.25% after 90 minutes of ice accretion.

OTT 이용자의 멀티호밍(multi-homing) 영향 요인 : 콘텐츠 다양성 지각, 요약 콘텐츠 시청 경험, 유용성 지각 및 멀티호밍 의도에 대한 구조방정식 모형 분석

OTT 이용자의 멀티호밍(multi-homing) 영향 요인 : 콘텐츠 다양성 지각, 요약 콘텐츠 시청 경험, 유용성 지각 및 멀티호밍 의도에 대한 구조방정식 모형 분석

A Typological Analysis of Factors That Increase Attraction in Partner Selection in Korea and Japan: Focusing on Interviews from Reality Dating Programs

A Typological Analysis of Factors That Increase Attraction in Partner Selection in Korea and Japan: Focusing on Interviews from Reality Dating Programs

Analysis of Factors Affecting the Inpatient Satisfaction in Integrated Nursing Care Service Wards using a Healthcare Service Survey Database

Purpose : In this study, we aimed to identify factors influencing the inpatient satisfaction in integrated nursing care service wards. Methods : Using data from the 2020 and 2021 healthcare service experience surveys conducted by the Ministry of Health and Welfare, this study analyzed a weighted sample of 416,020 participants using descriptive statistics, pairedt-test, Pearson’s correlation, and multiple linear regression analyses. Results : Inpatient satisfaction in integrated nursing care service wards was most significantly affected by the experiences with nursing services and perceived health status, followed by experiences with doctor services, length of hospitalization, age, experiences with medical institution services, education level, gender, presence of chronic diseases, type of hospital, and occupation. Most significant positive impacts were associated with experiences with nursing and doctor services, especially in general hospitals and high-level facilities, among males and elderly patients ＞ 60 years old. In contrast, high education level, presence of chronic diseases, and unemployment were associated with low inpatient satisfaction. Conclusion : Effective programs and guidelines must be developed and implemented to expand and promote the integrated nursing care and medical services and overall utilization of healthcare institutions, with a special focus on person-centered care.

Transformation of e-commerce business models in the digital economy

Purpose. Research on the transformation of e-commerce business models in the conditions of the digital economy, analysis of the main directions of changes in business processes, as well as the determination of key differences between Internet commerce, e-commerce and online commerce, substantiation of the difference in the sources of generation of added value and identification of the factors that facilitate the transition from traditional e-commerce business models to digital ones. Methodology. When conducting the research, the trends of the development of electronic commerce and the factors contributing to their transformation in the conditions of the digital economy were revealed by the method of formal analysis. Findings. This study presents an analysis of trends and factors affecting the development of digital commerce and the transformation of digital commerce business models. The directions of integration of digital technologies into business processes and strategic aspects of the implementation of digital solutions into business practice are substantiated. The key factors that contribute to the transformation of e-commerce business models into digital commerce business models are identified, in particular, in the creation and implementation of new business models that allow for effective adaptation to the conditions of the digital economy. It is found that the economic basis of transformations of business models is the sources of creation of added value. It has been proven that digital technologies, which form the basis of e-business, are carriers and main sources of added value creation, which is reflected in business monetization models. The impact of artificial intelligence on the prospects and further development of digital commerce business models is analyzed. Originality. The scientific novelty obtained as a result of this research consists in the definition and substantiation of a new factor – added value, which is the main factor influencing the transformation of e-commerce business models into a digital commerce business model, which takes place under the influence of the digital economy. The novelty of the obtained research results in terms of substantiation of added value as a factor of transformation is proven by confirming the hypothesis that the formation of e-commerce business models and their transformation into digital commerce models take place under the influence of digital sources of added value creation.

Analysis of natural and man-made factors of landslide development in the Carpathian region using GIS

Purpose. Determination of the dependencies of spatial relationships between landslides in the Carpathian region of Ukraine and the factors causing them, taking into account the differences in geomorphological, geological, climatic conditions and natural and geographical zoning according to the landscape principle. Methodology. The morphometric analysis of the territory was carried out using QGIS tools to determine the slope angles and exposure; linear characteristics were calculated: distances to the river, road, and houses. Based on the image interpretation data, we calculated the total annual rainfall and average annual air temperature. The impact of the factors considered on landslide formation was assessed using multivariate statistical analysis: factor analysis and linear multiple regression. Findings. Studies on the impact of natural and topographical conditions and anthropogenic activity on the development of landslide processes have been conducted. Orographic and climatic factors play the most important role. Construction of business facilities results in a decrease in the slope stability in 14–19 % of cases. The analysed independed factors showed good consistency between the distribution of existing landslides and the parameters under consideration: the share of the total variance of the factors under consideration is 71–76 %, the coefficient of determination of the regression model is 0.7. Based on the results of geoinformation and statistical analyses, it is proved that differences in geomorphological conditions and human activity (construction of roads, economic facilities) are dominant in the formation of landslides in different landscape zones. Originality. It is established that there is a dynamic coherence between the spatial change in natural conditions and human settlement and activity, which interact with each other to create prerequisites for the development of landslides. Practical value. This study is important from the point of view of understanding and mitigating the cause-and-effect relationship of landslide development for certain territories, and the results obtained can be useful in developing land use planning strategies, infrastructure development, and planning new construction works.

Building a theoretical framework for financial risk management in emerging markets: Applying global best practices to the oil and gas industry in developing economies

Financial risk management is crucial for the sustainability and growth of the oil and gas industry in developing economies, where volatility and regulatory uncertainties present significant challenges. This abstract explores the construction of a theoretical framework for financial risk management, adapting global best practices to the specific contexts of emerging markets within the oil and gas sector. In developing economies, the oil and gas industry faces unique risks such as geopolitical instability, currency fluctuations, and regulatory changes. Effective financial risk management mitigates these risks through proactive strategies that balance risk exposure with strategic objectives. Adopting global best practices involves the integration of comprehensive risk assessment methodologies, scenario planning, and hedging techniques tailored to local market conditions. Key components of the theoretical framework include risk identification through comprehensive analysis of market, operational, and financial factors. This approach enables oil and gas companies to anticipate and mitigate risks before they escalate, ensuring financial stability and resilience in volatile environments. Furthermore, the application of global best practices in financial risk management fosters transparency and accountability, enhancing investor confidence and facilitating access to capital. By aligning risk management strategies with international standards and benchmarks, developing economy oil and gas firms can navigate uncertainty more effectively, thereby optimizing operational performance and sustaining long-term growth. However, challenges such as limited access to sophisticated financial instruments and expertise may hinder effective implementation. Overcoming these barriers requires capacity building, collaboration with experienced partners, and continuous adaptation of strategies to evolving market dynamics. In conclusion, building a theoretical framework for financial risk management in the oil and gas industry in developing economies is essential for mitigating volatility and maximizing opportunities. By applying global best practices tailored to local contexts, companies can strengthen their resilience, attract investment, and drive sustainable development in emerging markets.

Analysis of factors influencing students’ decisions in choosing a specialization in the Public Health Study Program, Faculty of Public Health, Halu Oleo University, 2024

Analysis of factors influencing students’ decisions in choosing a specialization in the Public Health Study Program, Faculty of Public Health, Halu Oleo University, 2024

Multilevel analysis of factors affecting the interhospital transfer of high-acuity pediatric patients: a focus on severe pediatric emergency patients

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED).Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable.Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%).Conclusion: This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.

Natural language processing realises the potential of electronic health records: identifying risk factors for disease progression and major adverse limb events in intermittent claudication

Abstract Background/Introduction Peripheral Arterial Disease (PAD) is a common pathology, affecting 4.5% of the UK population. Symptomatic PAD manifests as intermittent claudication (IC). Predictors of IC progression to Chronic-Limb-Threatening Ischaemia (CLTI) and complications including Major Adverse Limb Events (MALE), such as smoking history and diabetes, have been described previously in resource-intensive cohort studies. Novel Natural Language Processing (NLP) approaches transform routinely collected, unstructured health records into datasets for real-world analysis of PAD. Purpose This study leverages NLP based interrogation of electronic health records to efficiently identify risk factors for disease progression and MALE in patients presenting with IC. Methods A retrospective cohort study of patients with PAD at a large, tertiary vascular referral centre identified using the SNOMED terms of IC in the Medcat-NLP-AI toolkit. Demographics, Index of Multiple Deprivation (IMD), and indicators of disease progression, and revascularisation and amputation (MALE) were analysed using Kaplan-Meier survival and Cox Proportional-Hazards analysis. Results 5,027 patients (Mean age 73.7(61.8-85.6), Males 66.1% (n=2,781) were identified. Self-reported population ethnicity was 4.72% Asian, 15.5% Black, 79.7% White. All-cause mortality was 19.5% (n=979) after 10 years of follow-up, with 5.85% of patients progressing to CLTI (n=294). 2.32% of Asian patients, 5.78% of Black patients and 5.04% of White patients progressed to CLTI, respectively. 5.09% of Asian patients, 8.99% of Black patients, and 7.36% of White patients underwent amputation. Multivariate analysis of risk factors for progression to CLTI, demonstrated that diabetes (HR 2.36, 95%CI: 1.22 - 4.48, p = .01) and smoking history (HR 1.76, 95%CI: 1.19 - 2.59, p = .004) independently predicted progression. No risk factors for MALE reached significance. Conclusions Diabetes and smoking behaviour are well-described in the literature as risk factors for progression to CLTI. This study demonstrates the utility of NLP as a resource efficient, validated, methodological tool. Disparities in MALE may exist between patients within a universal healthcare system, although our sample size was insufficient to demonstrate statistical significance. A larger, multicentre analysis is warranted. NLP represents a valuable tool for efficiently identifying and analysing risk factors for PAD progression and holds potential to refine management algorithms.KM curves of CLTI-free survival (DM)

To evaluate coronary microvascular obstruction by myocardial contrast echocardiography and its influence on prognosis in patients with ST-segment elevation myocardial infarction

Abstract Background The goal of primary PCI (pPCI) is not only to restore epicardial coronary blood flow quickly but also to provide continuous myocardial tissue level reperfusion through coronary microcirculation. However, the incidence of coronary microvascular obstruction (MVO) after pPCI is as high as 50%-60%, which is closely related to the occurrence of heart failure and increased mortality of patients. Myocardial contrast echocardiography (MCE) is a new noninvasive technique for real-time observation of myocardial microcirculation perfusion in a specific imaging mode. At present, there are few studies on the application of MCE in the evaluation of coronary MVO in STEMI patients in China. Purpose To evaluate coronary MVO by MCE and its influencing factors and prognosis value after pPCI in patients with STEMI. Methods Patients with STEMI who received pPCI from October 2020 to June 2023 in the CCU were enrolled. MCE examination was performed on the 5th to 7th day after pPCI. The patients were divided into the MVO group and Non-MVO group. Major adverse cardiovascular events (MACE) were observed by 6-month follow-up after STEMI onset. Multiple Logistic regression analysis was used to analyze the risk factors for MVO, Multiple Cox regression analysis of the risk factors for MACE and Kaplan-Meier survival curve to compare the cumulative event-free survival of the two groups. Results A total of 98 patients were included in the analysis. The age was 59.88±11.71 years old, and 76(77.55%) were male. MCE examination showed 52 cases in the MVO group and 46 cases in the Non-MVO group. The incidence of MVO was 53.1% (52/98). There were 15 patients with MACE during follow-up. The results of stepwise Multivariate Logistic regression analysis showed that the peak value of cardiac troponin T (cTnT) (OR=1.354,95%CI 1.103-1.661, P=0.004) and without thrombus aspiration (TA) were independent risk factors for MVO (OR=5.588,95%CI 1.915-16.308, P=0.002). Multivariate Cox regression analysis indicated that female (HR=2.891, 95%CI 1.027-8.135, P=0.044), left ventricular ejection fraction (LVEF) &amp;lt;40% (HR=9.960, 95%CI 3.370-29.435, P&amp;lt;0.001) and MVO (HR=5.759,95%CI 1.279-25.935, P=0.023) were independent risk factors for MACE. Kaplan-Meier survival curve showed that the cumulative event-free survival rate in the Non-MVO group was higher than that in the MVO group, and the difference was statistically significant (P=0.0047). Conclusion The incidence of coronary MVO was higher in STEMI patients after pPCI, the peak value of cTnT and without TA were independent risk factors of MVO. The independent risk factors for MACE were female, LVEF &amp;lt; 40%, and MVO.

Disparities in Receipt of Early Intervention Services by Toddlers with Autism Diagnoses: an Intersectional Latent Class Analysis of Demographic Factors.

We examined receipt of general early intervention services and autism-specific specialized services across demographic groups among toddlers with autism diagnoses who were receiving Part C Early Intervention (EI). Latent class analysis (n = 508) identified five demographically distinct subgroups associated with intersecting marginalization and privilege. Analyses of longitudinal parent interviews (n = 225) revealed service receipt disparities across these demographically distinct latent classes; children from White, U.S. born, English-proficient parents with incomes above poverty level received more EI services (M = 12.0h/week) than other subgroups, with children from Latiné immigrant families receiving the fewest hours (M = 6.9h/week). Across all groups, average intervention hours were 8.8h/week. Despite early identification, racial, ethnic, and other sociodemographic disparities were evident in receipt of Part C Early Intervention services, indicating the need to address barriers to equitable care.

Prognosticating short-term outcomes in STE-ACS patients with intra-procedure slow flow/no-reflow: an analysis of predictive factors in primary percutaneous coronary revascularization

Abstract Background "ST-segment elevation myocardial infarction (STEMI)" is the most lethal form of "ischemic heart disease (IHD).primary "percutaneous coronary intervention (PCI)" as the first-line treatment for STEMI patients, as it offers better outcomes compared to other medical or surgical options [1,2]. One major concern in interventional cardiology is the occurrence of "slow flow/no-reflow (SF/NR)", which refers to the poor myocardial perfusion to the infarct-related artery as a result of microvascular obstruction. Objectives In this study, we compared the incidence of short-term outcomes between two groups of patients based on the occurrence of intra-procedure "slow flow/no-reflow (SF/NR)" and identified predictors of short-term outcomes. Method This study enrolled a series of consecutive patients who underwent primary "percutaneous coronary intervention (PCI)" for "ST-elevation myocardial infarction (STEMI)". The patients who developed SF/NR during the procedure were compared with their counterparts for the incidence of short-term "major adverse cardiovascular events (MACE)". Furthermore, the study aimed to identify predictors of short-term mortality in these patients. Result In this study, a total of 2,582 patients were included. Among them, 79.1% (2,042) were male. The average age of the patients was 55.7 ± 11.2 years. Intra-procedure SF/NR was observed in 21.7% (560) of the patients. During median short-term follow-up of 180 [144-205] days, patients with SF/NR exhibited higher incidence of all-cause mortality (23.6% vs. 12.3%; p&amp;lt;0.001), and MACE (30.4% vs. 16.9%; p&amp;lt;0.001) with hazard ratio of 1.82 [1.46-2.27; p&amp;lt;0.001] and 1.69 [1.39-2.05; p&amp;lt;0.001], respectively. Among patients with SF/NR, adjusted odds ratio for total ischemic time: 1.04 [1.00-1.07; p=0.041], random blood sugar levels: 1.01 [1.00-1.01; p&amp;lt;0.001], intubation status: 2.79 [1.26-6.18; p=0.011], post-procedure sub-optimal flow: 1.76 [1.04-2.98; p=0.034], and intra-procedural arrhythmias: 5.48 [2.03-14.79; p&amp;lt;0.001] were found to be independent predictors of short-term mortality. Conclusion In conclusion, the presence of intra-procedure SF/NR carries significant prognostic implications. Patients with intra-procedure SF/NR face a significantly higher risk of short-term adverse outcomes.

Exploring support for return-to-work: A comparative analysis of firm and country-level factors

Abstract Background Employers are important stakeholders in efforts to facilitate the return-to-work (RTW) of employees after sick-leave, but the available data reveal large variation in employer support for RTW across European countries and firms. This paper explores in a comparative perspective what factors at the country level and at the firm level can explain these differences. Methods Employer support for RTW is examined using microdata covering 31 countries from the Third European Survey of Enterprises on New and Emerging Risks (ESENER), conducted in 2019 (N = 9,775). These data are integrated with country-level indicators to capture national differences in economic incentives and institutional provisions concerning the management of sick-leave. Two-level mixed-effects logit models with random intercepts are used to estimate the impact that different firm characteristics and country-level factors have on the propensity to provide RTW support. Results The empty model has an intraclass correlation coefficient (ICC) of 0.345, indicating that a substantial share of the observed variation across European firms is determined at the country level. Larger establishments and those with workplace health risks are more likely to provide RTW support. Including firm-level indicators does however not reduce the observed between-country variance. Institutional differences in the economic costs of sick leave for employers, on the other hand, explain about 15% of this variance. The ICC drops more strongly after including in the model policy indicators that capture activating elements in the social security system and the existence of national policies targeting RTW. The full model explains almost two thirds (62.8%) of the observed between-country variance. Conclusions The findings highlight that only in few European countries employers are systematically involved in RTW support and strengthen the case for comprehensive policy strategies to engage employers in worker activation. Key messages • Employer characteristics, such as firm size, impact the propensity to provide RTW support, but they do not explain the large between-country variation that we observe across Europe. • Comprehensive national policy strategies and institutional incentives are crucial to engage employers systematically in RTW efforts.

Comparative analysis and model development of working conditions and sociopsychological factors influencing job satisfaction among office workers

This study aimed to examine the impact of working conditions and sociopsychological factors on job satisfaction among office workers. Using data from the 2017–2018 Working Conditions Survey, exploring how workplace conditions and sociopsychological elements could impact job satisfaction. This study examined data from 9801 workers to explore the effects of working conditions and psychosocial environments on job enthusiasm, which subsequently impacts job satisfaction. Analyzing 1416 office workers, it found that fewer working hours, better work-life balance, improved work conditions, and lower depression levels enhance job enthusiasm, significantly affecting job satisfaction. The work environment had the most substantial impact, encompassing relationships with colleagues, task completion time, and confidence. Work-life imbalance and depression were also significant, with work-life balance being crucial for modern society, especially the younger generation. Poor working conditions and unstable psychosocial environments negatively affect job enthusiasm and satisfaction, with findings supporting previous research on job stress and turnover intentions in various industries. This study highlights the need for organizational policies that support these aspects to improve overall employee well-being and productivity.

Retrospective analysis of prevalence and risk factors of bovine lameness in dairy farms in South Africa

Lameness is a crippling problem in the dairy industry, posing a significant welfare challenge and leading to premature culling. The study aimed to determine the seasonal prevalence of lameness in two different provinces of South Africa. The data was collected in two local municipalities (Mpofana and Raymond Mhlaba). However, the computer software systems of four randomly selected dairy farms were used to collect retrospective secondary data for lameness and predisposing factors (2018–2022). The data's targeted parameters include breed, parity, weight, stage of lactation, diseases diagnosed (lameness), age, and milk production trends. The highest prevalence was observed in uMpofana municipality (58.8%) compared to Raymond Mhlaba municipality (41.2%). Among cattle above nine years of age, the prevalence of lameness was the highest (36%), compared to 7-8-year-old (24%), 4-6-year-old (21.7%), and 1-3-year-old (14.3%) cattle. Additionally, the highest prevalence of lameness was observed during the summer season, followed by spring, winter, and autumn. The strongest association is kept for the right front leg (p&lt;0.0001), followed by the left front leg (p&lt;0.001), right back leg (p&lt;0.001), and left back leg (p&lt;0.001). In conclusion, this study provides baseline information on several key factors influencing the prevalence of lameness in dairy cattle in various farms in uMpofana municipality and Raymond Mhlaba municipality. The study findings could be used for farm managerial decision-making and epidemiological interventions. Given the high prevalence of lameness in dairy farms in uMpofana municipality, there is a need for more focused research aimed at identifying the specific causes of lameness in these localities.