Occupational Stress Impact and the Risk of Burn-Out for Employees of the Healthcare Sector, Germany

2018 ◽  
Vol 9 (6) ◽  
pp. 477-483
Author(s):  
Sabine Abbasi ◽  
Keyword(s):  
Occupational Stress ◽  
Working Conditions ◽  
Stress Level ◽  
High Stress ◽  
Working Hours ◽  
Healthcare Sector ◽  
Health Report ◽  
Burn Out ◽  
The Individual ◽  
High Stress Level

In accordance with the German annual health report mental disorders of employees continue to grow. In particular the German employees of the healthcare sector have work challenges like demographic change, lack of specialists, etc. Thus it seems obvious that these employees suffer from risk of a high stress level. The present paper focuses primarily on quantitative analysis of the stress level of employees in the rural healthcare sector. This study analyses the mental and physical burdens. The results of this paper support the concept that employees of the healthcare sector experience a strong stress levels. The results also support the assumption that communication and company structure is influencing the individual stress level of these employees. Further results show that physical and mental comfort is strongly influenced by weekly working hours and they show there is an impact of working atmosphere and working conditions to mental and physical burdens.

scholarly journals Well Being and Occupational Stress of Women Teachers of Primary Schools

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Dr. Utpal Kalita
Keyword(s):  
Elementary School Teachers ◽  
Occupational Stress ◽  
Primary Schools ◽  
High Stress ◽  
Well Being ◽  
Women Teachers ◽  
School Teachers ◽  
Stress Scale ◽  
High Stress Level

The elementary school teachers and especially women teachers are facing new challenges and need to be supported by the educational administrators and the state. In order to strengthen the role of women teachers, there is needed to look at well-being and occupation stress of women teachers‟. The present paper is justified to study the well being and occupational stress of women teachers of primary schools. For this, Well Being Scale and Occupational Stress Scale for are used as tools of data collection. Main findings of this study are: (i) very few women teachers fall in low well being level category while majority of the women teachers fall in the category of high well being, (ii) few women teachers fall in high stress level category while majority of the women teachers fall in the category of average as well as less stress well being category and (iii) there exists significant relationship between well being and occupational stress of women teachers of primary schools.

Implementation of K-Modes Algorithm for Clustering of Stress Causes in University Students

2021 ◽  
Vol 9 (3) ◽  
pp. 419
Author(s):  
Ni Putu Mira Novita Dewi ◽  
Ida Bagus Gede Dwidasmara
Keyword(s):  
Stress Level ◽  
Clustering Algorithm ◽  
High Stress ◽  
Optimal Number ◽  
Mild Stress ◽  
Student Groups ◽  
High Stress Level ◽  
Internal And External Factors ◽  
Python Programming ◽  
Cluster 2

Stress is an inevitable part of life in a college environment. The variety of factors that cause stress in students, it is necessary to cluster the factors that cause stress in students to see the description of the characteristics of each cluster of students. The clustering process is carried out to identify the causes of stress in student groups and their relationship to these internal and external factors. Cluster analysis can be used as a reference to decide on efforts to handle and prevent increased stress in students. The clustering process is carried out using the Python programming language. The algorithm used is the k-modes clustering algorithm. This algorithm is suitable for clustering categorical data. The optimal number of clusters obtained from the implementation of the elbow method is three clusters. Cluster 1 is a cluster with a mild stress level, the main cause of stress is academic issues. Cluster 1 is the only group where the majority of the cause of stress is not financial. Cluster 2 is a cluster with a high stress level which causes various stressors. However, cluster 2 is the only cluster where the cause of stress is on careers and on involvement in hostels, clubs, and society. Cluster 3 is a cluster with a medium stress level. This cluster is the only cluster dominated by male gender. The main cause of stress in this cluster is academic and financial.

scholarly journals Study on the Effect of Laser Quenching on Fretting Fatigue Life

Metals ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 566 ◽  
Author(s):  
Hongjian Zhang ◽  
Xufeng Yang ◽  
Haitao Cui ◽  
Weidong Wen
Keyword(s):  
Fatigue Life ◽  
Stress Level ◽  
High Stress ◽  
Fretting Fatigue ◽  
Test System ◽  
Experimental Results ◽  
Laser Quenching ◽  
Error Band ◽  
Hydraulic Servo ◽  
High Stress Level

Laser quenching hardening is one of the most used surface treated technologies. In order to study the effect of laser quenching on the fretting fatigue life, fretting fatigue experiments of TC11 (Ti-6.5Al-1.5Zr-3.5Mo-0.3Si) titanium alloy specimens with different surface conditions were carried out on a special hydraulic servo fatigue test system. The experimental results showed that laser quenching hardening has a good performance in increasing the fretting fatigue lives of the TC11 alloy. However, the effects of laser quenching on fretting fatigue are more obviously at low stress level than at high stress level, the fretting fatigue life was increased by 110.78% at low stress level and 17.56% at high stress level, respectively. Based on the critical plane approach, the traditional SWT (Smith–Watson–Topper) parameter was modified and used to describe the fretting fatigue life of the TC11 alloy after hardening by the consideration of the variations of the hardening layer’s elastic modulus. Compared with the experimental results, all the errors of the predicted results lied in the error band of two.

Genetic susceptibility of CYP1A1 gene and risk of pesticide exposure in prostate cancer

2020 ◽  
Vol 29 (4) ◽  
pp. 429-440
Author(s):  
Amar Abhishek ◽  
Nasreen Ghaji Ansari ◽  
Vishwajeet Singh ◽  
Rahul Janak Sinha ◽  
Prabhakar Mishra ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Stress Level ◽  
Genetic Factors ◽  
Pesticide Exposure ◽  
High Stress ◽  
P Value ◽  
Specific Pcr ◽  
Cyp1a1 Gene ◽  
High Stress Level ◽  
High Level

BACKGROUND: The etiology of prostate cancer (PCa) is multi-factorial including environmental and genetic factors. Present study evaluates the association between level of pesticides, stress level and CYP1A1 gene polymorphism with PCa patients. METHODS: A case control study was conducted with 102 PCa patients and age match symptomatic (n= 107) and asymptomatic benign prostatic hyperplasia (BPH, n= 70) patients. Pesticide level was characterized by Gas Chromatography. The oxidative stress and scavenging mechanisms were determined by biochemical method. Two polymorphisms of CYP1A1 gene, rs4646903 and rs1048943, were analyzed by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism and allele specific PCR method. RESULTS: Higher level of pesticide namely beta-hexachlorocyclohexane (β-HCH), Malathion, Chlorpyrifos and Fenvalerate were found in PCa group (all p value: < 0.05). Kruskal Wallis H test depicted that level of β-HCH and Malathion significantly correlated with higher grade of PCa (all p< 0.05). The PCa Patients with simultaneously low antioxidant activity and high stress level tended to suffer worst clinical outcomes. Dominant model of rs4646903 and rs1048943 suggested that substitution is associated with a higher risk of PCa (OR: 2.2, CI: 1.6–3.8, p: 0.009 and OR: 1.95, CI: 1.1–3.4, p: 0.026; respectively) and this risk was also influenced by smoking and pesticide exposure. CONCLUSION: Environmental and genetic factors are reported to raise risk; person with high level of these pesticides especially in high risk genotype might be more susceptible to PCa.

Distress screening in patients with urogenital malignancies.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 412-412
Author(s):  
Pia Paffenholz ◽  
Maria Angerer-Shpilenya ◽  
Johannes Salem ◽  
David Pfister ◽  
Axel Heidenreich
Keyword(s):  
Psychological Distress ◽  
Stress Level ◽  
Malignant Tumors ◽  
High Stress ◽  
Salvage Treatment ◽  
Distress Screening ◽  
Prospective Longitudinal Study ◽  
Psychological Burden ◽  
High Stress Level ◽  
Prospective Longitudinal

412 Background: Malignant tumors do not only have a somatic but also a psychological impact on patients. To date, only a few studies are available which evaluated the potential psychological burden of patients suffering from urogenital cancers. In this prospective, longitudinal study we examine the baseline psychological distress of patients treated for urogenital malignancies focussing on testicular cancer (TC) and prostate cancer (PCA). Methods: Psychological distress of 192 inpatients treated for urogenital malignancies was evaluated using the distress thermometer (DT), an established tool for the detection of distress, prior to any surgical or systemic therapy. The DT consists of a visual analogue scale ranging from 0 to 10 resulting in a low (0-3), moderate (4-6) or high (7-10) stress level. Furthermore, it contains a 36-item list of problems subdivided into 5 categories (practical, family, emotional, spiritual/religious, physical). Results: The mean DT score was 5 (interquartile range (IQR) 3-7) with the most common stressors being of emotional origin, namely fear (50%), worry (44%), nervousness (42%), sleep disorders (39%) and fatigue (32%). DT analysis did not reveal any difference between the tumor entities but 64% of all patients displayed a moderate to high stress level requiring psycho-oncological support. The comparison of PCA and TC demonstrated a higher distress level in PCA patients in the subgroups of metastatic disease (median 5.5, IQR 4-8 vs. median 4, IQR 2-6; p = 0.018), secondary therapy (median 6, IQR 5-8 vs. median 4.5, IQR 2.75-6; p = 0.023) and salvage treatment (median 7, IQR 4.5-9 vs. 5, IQR 2.75-6; p = 0.021). PCA patients receiving salvage treatment displayed significantly higher distress levels compared to non-salvage treated patients (median 7, IQR 4.5-9 vs. median 5, IQR 2-7; p 0.028). Conclusions: Our study shows that 64% of urological tumor patients should be offered psycho-oncological support. Especially patients suffering from advanced stage PCA seem to have a high stress level. Thus, physicians in the field of urologic oncology should be aware of their patients’ psychological distress in order to identify high-risk patients and provide them with an appropriate psycho-oncological support.

scholarly journals Occupational-related Stress among University Faculty Staff in Kwara State, Nigeria: Outcomes on Goal Achievement

2020 ◽  
Vol 2 (2) ◽  
pp. 307-322
Author(s):  
Martins Olanrewaju Atunde ◽  
Johnson Abiodun Medupin ◽  
Saliu Ishaq Alabi ◽  
Abdulganiyu Adebayo Tijani ◽  
Olabode Awarun ◽  
...  
Keyword(s):  
Coping Strategies ◽  
Occupational Stress ◽  
Stress Level ◽  
Organizational Support ◽  
Work Experience ◽  
High Stress ◽  
University Faculty ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Stress

Background: Incidents of occupational stress among academicians globally is on the rise, despite its impending effects and prospects of coping strategies suggested in literature. Objective: This study examines occupational stress among university faculty staff and its outcomes on university goal achievements in Kwara State, Nigeria.  Methods: The study was a cross-sectional survey. A multi-stage sampling technique was used for the selection of 458 faculty staff. Data were collected with the use of a 57-item questionnaire. Results: Results reveal that the level of stress among faculty staff was high (3.25), while stress level differs based on gender (p<.05), age (p<.01), marital status (p<.01), work experience (p<.05) and ownership of workplace (p<.05). The prominent risk associated with occupational-related stress are organizational-related (cluster mean 3.26) and role-related (CM 3.26) factors. Findings further indicate that the social support (CM 3.00) and individual-focused (CM 2.91) coping strategies were moderately adopted for managing occupational-related stress among university faculty, while the organizational support coping strategy was utilized to a low extent (CM 2.47). Conclusion and Recommendation: The study findings implicate the attainment of university goals in terms of delivering quality teaching, research and promoting scholarship and community service. Thus, the mitigation of occupational-related stress requires individual, social and most especially workplace-level interventions. Implications: The research would enable university administrators in designing appropriate workplace policies and intervention strategies or programmes for minimizing high-stress level, risk factors and their attendant effects so that faculty staff can cope effectively with work demands for the enhanced achievements of university goals.

scholarly journals Continuous Stress Detection of Hospital Staff Using Smartwatch Sensors and Classifier Ensemble

2021 ◽  
Author(s):  
Muhammad Ali Fauzi ◽  
Bian Yang
Keyword(s):  
Stress Level ◽  
High Stress ◽  
Hospital Staff ◽  
Wearable Devices ◽  
Classifier Ensembles ◽  
Stress Detection ◽  
Monitoring Task ◽  
The Ensemble Method ◽  
The Individual ◽  
Voting Strategy

High stress levels among hospital workers could be harmful to both workers and the institution. Enabling the workers to monitor their stress level has many advantages. Knowing their own stress level can help them to stay aware and feel more in control of their response to situations and know when it is time to relax or take some actions to treat it properly. This monitoring task can be enabled by using wearable devices to measure physiological responses related to stress. In this work, we propose a smartwatch sensors based continuous stress detection method using some individual classifiers and classifier ensembles. The experiment results show that all of the classifiers work quite well to detect stress with an accuracy of more than 70%. The results also show that the ensemble method obtained higher accuracy and F1-measure compared to all of the individual classifiers. The best accuracy was obtained by the ensemble with soft voting strategy (ES) with 87.10% while the hard voting strategy (EH) achieved the best F1-measure with 77.45%.

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