The aim of this review is to systematically review studies on work-related stress that may affect the mental health of veterinarians. Studies have indicated a high prevalence of various risk factors for mental disorders among practicing veterinarians. In addition to a high risk of suicide, there is increasing evidence of burnout and depression. A scoping review was conducted using the PubMed, MEDLINE, Scopus, Cochrane Library, Web of Science, PubPsych and PSYNDEX databases. Twenty-one studies (plus seven studies with nonstandardized questionnaires) published between 2000 and 2021 were found that presented data on the effect of workload on the mental wellbeing of veterinarians. All of the included studies indicate a high prevalence of psychological stressors in veterinary practice. The risks of burnout, anxiety and depressive disorders are higher in this occupational group than in the general population and other occupational groups. Subjectively, female veterinarians perceive their psychological workload to be higher than that of their male counterparts. Working hours and ethical dilemmas stand out as major sources of stress. There is a need to improve overall psychological wellbeing of veterinarians. Organizational support services and developing personal strategies for coping with work-related stress can prove helpful.
Objective: Heart rate variability (HRV) is an important non-invasive marker for the assessment of an organism’s autonomic physiological regulatory pathways. Lower HRV has been shown to correlate with increased mortality. HRV is influenced by various factors or diseases. The aim of this narrative review is to describe the current state of knowledge on factors influencing HRV and their significance for interpretation.Methods: The narrative review only included reviews, meta-analyses, and cohort studies which were published until 2021. HRV confounders were grouped into four categories (non-influenceable physiological factors, diseases, influenceable lifestyle factors and external factors).Results: The review found that HRV was decreased not only in non-influenceable physiological factors (e.g., age, gender, ethnicity) but also in connection with various number of acute and chronic diseases (e.g., psychiatric diseases, myocardial infarction, heart failure), influenceable lifestyle factors (e.g., alcohol abuse, overweight, physical activity), and external factors (e.g., heat, noise, shift work, harmful- and hazardous substances).Conclusion: In order to improve the quality of HRV studies and to ensure accurate interpretation, it is recommended that confounders be taken into account in future diagnostic measurements or measurements in the workplace (e.g., as part of health promotion measures) in order to counteract data bias.
In this paper we report on our ongoing studies around the application of augmented reality methods to support the order picking process of logistics applications. Order picking is the gathering of goods out of a prepared range of items following some customer orders. We named the visual support of this order picking process using head-mounted displays ldquopick-by-visionrdquo. This work presents the case study of bringing our previously developed pick-by-vision system from the lab to an experimental factory hall to evaluate it under more realistic conditions. This includes the execution of two user studies. In the first one we compared our pick-by-vision system with and without tracking to picking using a paper list to check picking performance and quality in general. In a second test we had subjects using the pick-by-vision system continuously for two hours to gain in-depth insight into the longer use of our system, checking user strain besides the general performance. Furthermore, we report on the general obstacles of trying to use HMD-based AR in an industrial setup and discuss our observations of user behaviour.
Purpose: In recent years, the measurement of heart rate variability (HRV) has gained ground even outside research settings in everyday clinical and outpatient practice and in health promotion. Methods: Using the search terms “heart rate variability”, “hrv” and “circadian”, a systematic review was carried out in the PubMed database to find original work that analysed the course of HRV parameters over a 24-h period. Results: A total of 26 original studies were found. Almost all the studies detected a circadian rhythm for the HRV parameters analysed. HRV increased during the night in particular and a nighttime peak during the second half of the night was identified. Conclusions: HRV follows a circadian rhythm. But until today, there isn′t any possibility to make quantitative statements about changes over the course of the day for planning short-term measurements. More qualitative studies must be carried in order to close this knowledge gaps.
1 Preliminary remarks The present guideline is a result of the consolidation and a thorough revision of two guidelines, ?Nutzung der Herzschlagfrequenz bei arbeitswissenschaftlichen Untersuchungen...