Evaluation of the prevalence and risk factors of burnout syndrome among healthcare workers:A cross-sectional study

BACKGROUND Burnout syndrome is a significant issue among healthcare professionals worldwide,marked by depersonalization,emotional exhaustion,and a reduced sense of personal achievement.This psychological and physical burden profoundly affects healthcare professionals'quality of care and overall well-being.In Somalia,where the healthcare system faces numerous challenges,the escalating demand for medical services and inadequate resources,coupled with overwhelming workloads,long hours,and high-stress levels,make healthcare providers particularly vulnerable to burnout syndrome.This,in turn,affects both the mental health of healthcare personnel and the quality of care they provide.AIM To examine the prevalence and determinants of burnout syndrome among healthcare practitioners in Mogadishu,Somalia.METHODS This cross-sectional prospective study was performed among 246 healthcare providers employed at a tertiary care hospital in Mogadishu,Somalia,who were recruited via random sampling.Data were collected using questionnaires that covered sociodemographic,psychological,work-related characteristics,and burnout syndrome.Bivariate and multivariate logistic regression analyses were performed to identify the variables that correlated with burnout syndrome.The results were presented using adjusted odds ratios(AORs),95%CIs,and P values,with a cutoff of 0.05 for identifying significant associations.RESULTS Among the participants,24%(95%CI:18.8%–29.8%)exhibited symptoms of burnout syndrome.Factors associated with burnout included female gender(AOR=6.60;95%CI:2.29-19.04),being married(AOR=3.07;95%CI:1.14-8.28),being divorced or widowed(AOR=5.84;95%CI:1.35-25.35),working more than 7 night shifts(AOR=3.19;95%CI:1.30–7.82),having less than 5 years of job experience(AOR=5.28;95%CI:1.29-21.65),experiencing poor sleep quality(AOR=5.29;95%CI:1.88-14.89),and exhibiting depressive(AOR=4.46;95%CI:1.59-12.53)and anxiety symptoms(AOR=7.34;95%CI:2.49-21.60).CONCLUSION This study found that nearly one in four healthcare professionals suffers from burnout syndrome.Improving sleep quality,monitoring,and providing mental health support could enhance their well-being and patient care.

AssessITS: Integrating Procedural Guidelines and Practical Evaluation Metrics for Organizational IT and Cybersecurity Risk Assessment

In today’s digitally driven landscape, robust Information Technology (IT) risk assessment practices are essential for safeguarding systems, digital communication, and data. This paper introduces “AssessITS,” an actionable method designed to provide organizations with comprehensive guidelines for conducting IT and cybersecurity risk assessments. Drawing extensively from NIST 800-30 Rev 1, COBIT 5, and ISO 31000, “AssessITS” bridges the gap between high-level theoretical standards and practical implementation challenges. The paper outlines a step-by-step methodology that organizations can simply adopt to systematically identify, analyze, and mitigate IT risks. By simplifying complex principles into actionable procedures, this framework equips practitioners with the tools needed to perform risk assessments independently, without too much reliance on external vendors. The guidelines are developed to be straightforward, integrating practical evaluation metrics that allow for the precise quantification of asset values, threat levels, vulnerabilities, and impacts on confidentiality, integrity, and availability. This approach ensures that the risk assessment process is not only comprehensive but also accessible, enabling decision-makers to implement effective risk mitigation strategies customized to their unique operational contexts. “AssessITS” aims to enable organizations to enhance their IT security strength through practical, actionable guidance based on internationally recognized standards.

Financial Risk Evaluation System in the Context of Great Intelligence Movement Cloud: A Hierarchical Analysis Approach

This paper examines the financial risk evaluation system in the context of the“Great Intelligence Movement Cloud”and employs the hierarchical analysis method as the primary research tool.With the rapid advancement of“Great Intelligence Movement Cloud”technology,enterprise financial risks have expanded from the offline domain to the information domain,encompassing a broader scope and more diverse channels.The traditional approach to risk identification,relying solely on single financial indicators,no longer meets current demands.Therefore,it is essential to integrate a non-financial early warning indicator system and adopt a combination of quantitative and qualitative analysis methods.Hierarchical analysis enables the decomposition of complex problems into multiple components and organizes them into a hierarchical structure based on their relationships,facilitating a more accurate assessment of financial risk.This study seeks to establish a comprehensive financial risk evaluation system suited to the“Great Intelligence Movement Cloud”context,offering enterprises more precise risk assessments to better address financial risks and achieve steady development.

Risk factors for congenital nasolacrimal duct obstruction in children under two years of age

·AIM:To identify various risk factors that may play a significant role in the development of congenital nasolacrimal duct obstruction(CNLDO).·METHODS:This observational case-control study included a case group of 122 children less than two years of age with CNLDO who underwent probing and irrigation treatment at the ophthalmology department of Imam Khomeini Hospital in Ahvaz,Iran,from June 2022 to June2024.A control group of 122 age-matched children without CNLDO was also included for comparison.Data was collected from the children's medical records.·RESULTS:The study found a significant correlation between the occurrence of CNLDO and several maternal factors,such as preeclampsia,the use of levothyroxine,hypothyroidism,having more than three pregnancies(gravidity>3),natural pregnancy,and gestational diabetes mellitus.Additionally,in children,factors,such as oxygen therapy,anemia,reflux,jaundice,and a family history of CNLDO in first-degree relatives were associated with CNLDO,and maternal preeclampsia and hypothyroidism were found to significantly increase the risk of developing CNLDO in children.·CONCLUSION:Given that CNLDO affects both premature and full-term children,the present findings may potentially facilitate the early identification of children and infants at risk of nasolacrimal duct obstruction,thereby preventing the onset of chronic dacryocystitis.

Based on non-targeted metabolomics for differential components screening of Rosae Chinensis Flos and Rosae Rugosae Flos and their quality evaluation

Background:Rosa chinensis Jacq.and Rosa rugosa Thunb.are not only of ornamental value,but also edible flowers and the flower buds have been listed in the Chinese Pharmacopoeia as traditional medicines.The two plants have some differences in efficacy,but the flower buds are easily confused for similar traits.In addition,large-scale cultivation of ornamental rose flowers may lead to a decrease in the effective components of medicinal roses.Therefore,it is necessary to study the chemical composition and make quality evaluation of Rosae Chinensis Flos(Yueji)and Rosae Rugosae Flos(Meigui).Methods:In this study,40 batches of samples including Meigui and Yueji from different regions in China were collected to establish high-performance liquid chromatography fingerprints.Then,the fingerprints data was analyzed using principal component analysis,hierarchical cluster analysis,and partial least squares discriminant analysis analysis chemometrics to obtain information on intergroup differences,and non-targeted metabolomic techniques were applied to identify and compare chemical compositions of samples which were chosen from groups with large differences.Differential compounds were screened by orthogonal partial least-squares discriminant analysis and S-plot,and finally multi-component quantification was performed to comprehensively evaluate the quality of Yueji and Meigui.Results:The similarity between the fingerprints of 40 batches roses and the reference print R was 0.73 to 0.93,indicating that there were similarities and differences between the samples.Through principal component analysis and hierarchical cluster analysis of fingerprints data,the samples from different origins and varieties were intuitively divided into four groups.Partial least-squares discriminant analysis analysis showed that Meigui and Yueji cluster into two categories and the model was reliable.A total of 89 compounds were identified by high resolution mass spectrometry,mainly were flavonoids and flavonoid glycosides,as well as phenolic acids.Eight differential components were screened out by orthogonal partial least-squares discriminant analysis and S-plot analysis.Quantitative analyses of the eight compounds,including gallic acid,ellagic acid,hyperoside,isoquercitrin,etc.,showed that Yueji was generally richer in phenolic acids and flavonoids than Meigui,and the quality of Yueji from Shandong and Hebei was better.It is worth noting that Xinjiang rose is rich in various components,which is worth focusing on more in-depth research.Conclusion:In this study,the fingerprints of Meigui and Yueji were established.The chemical components information of roses was further improved based on non-targeted metabolomics and mass spectrometry technology.At the same time,eight differential components of Meigui and Yueji were screened out and quantitatively analyzed.The research results provided a scientific basis for the quality control and rational development and utilization of Rosae Chinensis Flos and Rosae Rugosae Flos,and also laid a foundation for the study of their pharmacodynamic material basis.

Risk Management Techniques in Construction Projects:Development and Assessment of an Innovative

Professional and trade skills are required for handling the construction related projects;Construction industries of the present day however lack useful information concerning different practices,patterns and trends involved in risk management.Considering this,the present study focuses on the aforementioned variables of risk management by quantitative analysis specifically in the domain of construction industry.This study has used IBM’s SPSS(Statistical Package for Social Sciences)version 25.0 to analyze the results.This study is an initiative to assess the impact of risk management in the construction sector of Jordan.It will assist the construction sector for exploring the limitations with respect to integrate effective risk management.A sense of competition will be developed through a comparison of risk factors of construction projects among the project stakeholders such as contractors should enhance their risk management practices.

Risk factors,monitoring,and treatment strategies for early recurrence after rectal cancer surgery

Early recurrence(ER)following surgery for rectal cancer is a significant factor impacting patient survival rates.Tsai et al identified age,preoperative neoadjuvant therapy,length of hospital stay,tumour location,and pathological stage as factors influencing the risk of ER.Postoperative monitoring for ER should encompass a thorough medical history review,physical examination,tumour marker testing,and imaging studies.Additionally,noninvasive circulating tumour cell DNA testing can be utilized to predict ER.Treatment strategies may involve radical surgery,radiation therapy,chemotherapy,and immunotherapy.Through a comprehensive analysis of risk factors,the optimization of monitoring methods,and the development of personalized treatment strategies,it is anticipated that both the efficacy of treatment and the quality of life for rectal cancer patients with postoperative recurrence can be significantly improved.

Prognosis in stage II colon cancer:Expanding the horizons of risk factors

we critically review the authors’perspective and analyze the relevance of the results obtained in the original article of clinical research by Liu et al.We consider that additional factors associated with colon cancer progression have recently been described in extensive clinical research,and should be included in this analysis to achieve a more accurate prognosis.These factors include inflammation,gut microbiota composition,immune status and nutritional balance,as they influence the post-surgical survival profile of patients with stage II colorectal cancer.We also address the clinical implementation and limitations of these analyses.Evaluation of the patient´s entire context is essential for selection of the most appropriate therapy.

Classification and identification of risk factors for type 2 diabetes

The risk factors for type 2 diabetes mellitus(T2DM)have been increasingly researched,but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors,which are categorized in this paper into five categories:Social determinants,lifestyle,checkable/testable risk factors,history of illness and medication,and other factors,which are discussed in a narrative review.Meanwhile,this paper points out the problems of the current research,helps to improve the systematic categorisation and practicality of T2DM risk factors,and provides a professional research basis for clinical practice and industry decision-making.

Long-term monitoring of active large-scale landslides for non-structural risk mitigation-integrated sensors and web-based platform

Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.

Work-family behavioral role conflict and daytime sleepiness on suicide risk among Chinese nurses:A cross-sectional study

BACKGROUND Work-family conflicts and daytime sleepiness are related to the risk of suicide.At present,no study has investigated the relationship between nurses’work-family behavioral role conflict and suicide risk.Moreover,it has not been confirmed whether,considering the effect of daytime sleepiness on suicide risk,daytime sleepiness mediates the effect of work-family behavioral role conflict and suicide risk.AIM To explore the pathway relationships among nurses'work-family behavioral role conflict,daytime sleepiness,and suicide risk.METHODS Convenience and purposive sampling methods were used to select 750 nurses from six provinces,including Jiangxi,Sichuan,and Shanxi.The work-family behavioral role conflict scale,the Chinese adult daytime sleepiness scale,and the suicide behavior questionnaire were used for the survey.The data were statistically analyzed via SPSS 25.0 software,Pearson correlation analysis was used to explore the correlations between the variables,the PROCESS 4.0 program was used for the mediation effect analysis,and the mediation effect model was tested via the bootstrap method.RESULTS Nurses'work-family behavioral role conflict and daytime sleepiness were positively correlated with suicide risk(r=734,0.717).Work-family behavioral role conflict positively predicted suicide risk(β=0.118),and daytime sleepiness positively predicted suicide risk(β=0.152).Daytime sleepiness partially mediated the role of nurses'work-family behavioral role conflict and suicide risk,with a mediation effect value of 0.046 and a mediation effect accounting for 38.98%.CONCLUSION The results of the Pearson correlation analysis and mediation effect analysis revealed that nurses'work-family behavioral role conflict has a direct effect on suicide risk and indirectly affects suicide risk through daytime drowsiness symptoms.

An integrated approach for GLOF hazard,vulnerability and risk assessment in the Karakoram Mountain Range of northern Pakistan

Climate change and rising temperatures are accelerating the rate of deglaciation in the Hindu Kush Karakoram Himalaya(HKH)ranges,leading to the formation of new glacial lakes and the expansion of existing ones.These lakes are often vulnerable to failure,posing a significant threat to downstream communities and infrastructure.Therefore,a comprehensive assessment of Glacier-Lake Outburst Flood(GLOF)hazards and risk assessment is crucial to evaluate flood runout characteristics and identify settlements and infrastructure that are exposed and vulnerable to floods,aiding in the development and implementation of risk reduction strategies.This study aims to simulate a GLOF event induced by the Shisper glacier lake in northern Pakistan,using the HEC-RAS,and to assess its impact on settlements,infrastructure,and agricultural land.For the hydrometeorological analysis of the GLOF event,topographic data from unmanned aerial vehicles(UAVs),stream profiles,discharge data,Manning's roughness coefficient(n),and land use/land cover(LULC)were analyzed using HEC-RAS and geographic information system(GIS).During the GLOF event on May 7,2022,a maximum water depth of 6.3 m and a maximum velocity of 9.5 m/s were recorded.Based on the runout characteristics of this event,vulnerability and risk assessments have been calculated.The physical,social,and environmental vulnerabilities of the at-risk elements were evaluated using the analytical hierarchy process(AHP)and integrated with the hazard data to develop a risk map.The study identified the areas,infrastructure and settlements susceptible to GLOF hazard to support the development and implementation of targeted and evidence-based mitigation and adaptation strategies.

Evaluating risk factors for surgical site infections and the effectiveness of prophylactic antibiotics in patients undergoing laparoscopic cholecystectomy

BACKGROUND Surgical site infections(SSIs)are a significant complication in laparoscopic cholecystectomy(LC),affecting patient outcomes and healthcare costs.AIM To identify risk factors associated with SSIs and evaluate the effectiveness of prophylactic antibiotics in reducing these infections.METHODS A comprehensive retrospective evaluation was conducted on 400 patients who underwent LC from January 2022 to January 2024.Patients were divided into infected(n=36)and non-infected(n=364)groups based on the occurrence of SSIs.Data collected included age,diabetes mellitus status,use of prophylactic antibiotics,and specific surgical complications.Statistical analyses using SPSS(Version 27.0)involved univariate and multivariate logistic regression to determine factors influencing the risk of SSIs.RESULTS The use of prophylactic antibiotics significantly reduced the incidence of SSIs(χ²=68.34,P<0.01).Older age(≥60 years)and comorbidities such as diabetes mellitus were identified as significant risk factors.Surgical complications like insufficient cystic duct stump,gallbladder perforation,and empyema also increased SSI risk.Notably,factors such as intraoperative blood loss and operation time did not significantly impact SSI occurrence.CONCLUSION Prophylactic antibiotics are effective in reducing the risk of SSIs in patients undergoing LC.Age,diabetes mellitus,and certain surgical complications significantly contribute to the risk.Effective management of these risk factors is essential to improve surgical outcomes and reduce the incidence of SSIs.

Cumulative effects of stress-sensitivity factors on depressive symptoms and suicide risk:A prospective study

BACKGROUND Sensitivity to stress is essential in the onset,clinical symptoms,course,and prognosis of major depressive disorder(MDD).Meanwhile,it was unclear how variously classified but connected stress-sensitivity variables affect MDD.We hypothesize that high-level trait-and state-related stress-sensitivity factors may have different cumulative effects on the clinical symptoms and follow-up outcomes of MDD.AIM To investigate how stress-sensitivity factors added up and affected MDD clinical symptoms and follow-up results.METHODS In this prospective study,281 MDD patients were enrolled from a tertiary care setting.High-level stress-sensitivity factors were classified as trait anxiety,state anxiety,perceived stress,and neuroticism,with a total score in the top quartile of the research cohort.The cumulative effects of stress-sensitivity factors on cognitive dysfunction,disability and functional impairment,suicide risk,and depressive and anxiety symptoms were examined using an analysis of variance with linear trend analysis.Correlations were investigated further using multiple regression analysis.RESULTS Regarding high-level stress-sensitivity factors,53.40%of patients had at least one at baseline,and 29.61%had two or more.Four high-level stress-sensitivity components had significant cumulative impacts on MDD symptoms at baseline(all P<0.001).Perceived stress predicted the greatest effect sizes of state-related factors on depressive symptoms(partialη^(2)=0.153;standardizedβ=0.195;P<0.05).The follow-up outcomes were significantly impacted only by the high-level trait-related components,mainly when it came to depressive symptoms and suicide risk,which were predicted by trait anxiety and neuroticism,respectively(partialη^(2)=0.204 and 0.156;standardizedβ=0.247 and 0.392;P<0.05).CONCLUSION To enhance outcomes of MDD and lower the suicide risk,screening for stress-sensitivity factors and considering multifaceted measures,mainly focusing on trait-related ones,should be addressed clinically.

Correlation between key indicators of continuous glucose monitoring and the risk of diabetic foot

BACKGROUND Continuous glucose monitoring(CGM)metrics,such as time in range(TIR)and glycemic risk index(GRI),have been linked to various diabetes-related complications,including diabetic foot(DF).AIM To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus(T2DM).METHODS A total of 591 individuals with T2DM(297 with DF and 294 without DF)were enrolled.Relevant clinical data,complications,comorbidities,hematological parameters,and 72-hour CGM data were collected.Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.RESULTS Individuals with DF exhibited higher mean blood glucose(MBG)levels and increased proportions of time above range(TAR),TAR level 1,and TAR level 2,but lower TIR(all P<0.001).Patients with DF had significantly lower rates of achieving target ranges for TIR,TAR,and TAR level 2 than those without DF(all P<0.05).Logistic regression analysis revealed that GRI,MBG,and TAR level 1 were positively associated with DF risk,while TIR was inversely correlated(all P<0.05).Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels(P<0.05).Additionally,achieving TAR was influenced by fasting plasma glucose,body mass index,diabetes duration,and antidiabetic medication use.CONCLUSION CGM metrics,particularly TIR and GRI,are significantly associated with the risk of DF in T2DM,emphasizing the importance of improved glucose control.

Risk factors, prevention and screening of colorectal cancer: A rising problem

Colorectal cancer(CRC)is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide.The leading risk factors for CRC include male gender,age over 50,family history,obesity,tobacco smoking,alco-hol consumption,and unhealthy diet.CRC screening methods vary considerably between countries and depend on incidence,economic resources and healthcare structure.Important aspects of screening include adherence,which can vary signi-ficantly across ethnic and socioeconomic groups.Basic concepts of CRC screening include pre-stratification of patients by identifying risk factors and then using fecal immunochemical test or guaiac-based fecal occult blood test and/or colono-scopy or radiologic imaging techniques.Technological capabilities for CRC scree-ning are rapidly evolving and include stool DNA test,liquid biopsy,virtual colo-nography,and the use of artificial intelligence.A CRC prevention strategy should be comprehensive and include active patient education along with targeted imple-mentation of screening.

Optimizing risk management for post-amputation wound complications in diabetic patients: Focus on glycemic and immunosuppressive control

This study highlights the importance of identifying and addressing risk factors associated with wound complications following transtibial amputation in diabetic patients.These amputations,often necessitated by severe diabetic foot ulcers,carry significant risks of postoperative complications such as infection and delayed wound healing.Elevated hemoglobin A1c levels,indicative of poor glycemic control,and a history of kidney transplantation,due to required immunosuppressive therapy,are key factors influencing these outcomes.This paper emphasizes the need for enhanced glycemic management and personalized postoperative care,particularly for immunocompromised individuals,to minimize complications and improve patient prognosis.Future research should focus on prospective studies to validate targeted interventions and optimize care strategies,ultimately aiming to reduce the healthcare burden associated with diabetic foot complications.

Technology Research on Lightning Strike Risk Evaluation of a Cable Car

According to structure function and lightning damage of a cable car, a feasible method of lightning strike risk evaluation for a cable car was put forward based on the evaluation model and evaluation method in the standard IEC62305-2. According to the difference between common buildings and cable cars, problems of height non-uniformity of equivalent section caused by inclination of the cable car and diversity of lightning activity regularity caused by the large area were resolved, and expected annual average frequency of lightning strike was calculated using three dimensional graphic approach and regional lightning characteristic analysis. Based on different types of damage process and loss consequences, according to interception effect against lightning invasion of the lightning protection measures and the method of probability selection proposed in the standard, the probability of casu- alty caused by direct lightning strike in a cable car and a waiting area as well as probabilities of casualty caused by failure of electronic information systems were cal- culated.

Risk Evaluation of Monochamus alternatus Hope in Jiangxi Province

[Objective]The study aimed to further strengthen the integrated management of Monochamus alternatus Hope and effectively control its spread and injury in pine forests in Jiangxi Province.[Method] By using the pest risk analysis method,the qualitative and quantitative analysis on risk of M.alternatus in Jiangxi Province was carried out.[Result] The qualitative and quantitative analysis result showed that its risk value R was 1.89,thus confirming that M.alternatus was close to high dangerous forest pest in Jiangxi Province.[Conclusion] The study provided the reference for making the policy decision for control of M.alternatus.

Evaluation of supply chain default risk based on fuzzy influence diagram

After introducing the supply chain default risk and its causes,based on the literature review of the evaluation methods of supply chain risks,a new evaluation method called the fuzzy influence diagram which combines fuzzy sets with influence diagram theory and considers the interaction among risk factors is proposed.Furthermore,an evaluation model of the supply chain default risk is established based on the research of default risk evaluation and the fuzzy influence diagram.First,the model takes the loss of risk as a valuable node,risk factors as random nodes,drawing a risk analysis influence diagram.Then,three kinds of fuzzy sets are defined,including state fuzzy sets,probabilistic fuzzy sets and a relation fuzzy matrix.Finally,by using the fuzzy algorithm to evaluate nodes,the probability of risk occurrence and the degrees of risk loss are obtained.On the basis of the model,an instance application is used to prove its utility and effectiveness.