[Expectations And Motivations Of Young Occupational Medical Physicians: A Quantitative Survey Of Five German Academies]. / Erwartungen und Motive des arbeitsmedizinischen Nachwuchses: eine quantitative Befragung in fünf deutschen Akademien.

STUDY AIM: The aim of this study was to describe the characteristics of future occupational physicians and to evaluate their expectations from and motivations for undertaking postgraduate medical education courses in occupational medicine. This will provide a basis for further increasing the attractiveness of occupational medicine as a discipline in preventive medicine and counteracting the shortage of occupational medical physicians. METHODS: At five locations in Germany, physicians in postgraduate medical education courses in occupational medicine were asked about their expectations from occupational medicine, their reasons for starting postgraduate medical education courses, and their assessment of these courses. The survey took place between 2018 and 2021. The data were analysed descriptively, and a cluster analysis was applied to identify the types of motives for continuing postgraduate medical education courses in occupational medicine. RESULTS: Of the 233 respondents, the majority were female (68.5%) and the mean age was 43.1 years (SD 7.9 years). The response at the State Chamber of Physicians of Saxony was 50% and at the remaining four academies was between 18% and 23%. The analysis revealed four different types of motives: "career & interest", "work & life balance", "self-employment" and "desire for change". Two-thirds of the participants were in favour of a greater integration of occupational medicine into medical school curriculum. CONCLUSIONS: The results suggest that there are different motives that lead physicians to pursue continuing education in occupational medicine. These motives should be considered when recruiting young occupational physicians.

Traffic noise annoyance in the LIFE-adult study in Germany: Exposure-response relationships and a comparison to the WHO curves.

BACKGROUND: Noise annoyance is the second-highest cause of lost disability-adjusted life-years due to environmental noise in Europe. Evidence on exposure-response relationships (ERRs) for traffic noise annoyance with more accurate exposure values is still needed. OBJECTIVES: In an analysis of the population-based LIFE-Adult study in Leipzig, Germany, we aimed to investigate the effect of road, railway (train and tram), and aircraft noise on high annoyance (HA). METHODS: Traffic exposure data was taken for 2012 and data on noise annoyance was evaluated between 2018 and 2021. HA was defined according to international standardized norms. We calculated risk estimates using logistic regression, controlling for age, sex, and socioeconomic status, and compared our ERRs with those from the last WHO review on this topic. RESULTS: Aircraft noise had the highest relative risk for noise-related HA (OR = 12.7, 95% CI: 9.37-17.10 per 10 dB Lden increase). The road and railway traffic risk estimates were similar to each other (road: OR = 3.55, 95% CI: 2.78-4.54; railway: OR = 3.31, 95% CI: 2.77-3.97 per 10 dB Lden increase). Compared to the WHO curves, the proportion of highly annoyed individuals was somewhat lower for road and rail traffic noise, but higher for aircraft noise. DISCUSSION: Aircraft noise is particularly annoying. There were differences between our study's ERRs and those in the WHO review, especially for aircraft noise. These differences may be partly explained by the improved accuracy of the exposure values, as we considered secondary road networks and tram noise, and by a lack of a nighttime flight ban at the Leipzig airport. Geographical, regional and climatic variations, inconsistency in HA cut-offs, as well as temporal developments in the annoyance experience may also explain the differences. Since ERRs serve as a basis for decision making in public policies, regular updates of the curves based on new evidence is recommended.

Cardiovascular disease risk after a SARS-CoV-2 infection: A systematic review and meta-analysis.

OBJECTIVES: To our knowledge, there is no systematic review examining CVD risks after a SARS-CoV-2 infection over time, while also taking into account disease severity. All evidence on the risk for pulmonary embolism (PE), myocardial infarction (MI), ischaemic stroke (IS), haemorrhagic stroke (HS), and arterial thrombosis following infection was evaluated. METHODS: The protocol was registered with PROSPERO. We searched Pubmed, Embase, MedRxiv and screened the titles/abstracts and full texts. We extracted the included studies, assessed their quality, and estimated pooled risks by time after infection and according to disease severity. RESULTS: Risks were highest in the acute phase [PE: 27.1 (17.8-41.10); MI: 4.4 (1.6-12.4); stroke: 3.3 (2.1-5.2); IS: 5.6 (2.1-14.8); HS: 4.0 (0.1-326.2)] compared to the post-acute phase [PE: 2.9 (2.6-3.3); MI: 1.4 (1.1-1.9); stroke: 1.4 (1.0-2.0); IS: 1.6 (0.9-2.7)]. Highest risks were observed after infection confirmation, dropping during the first month post-infection (e.g. PE: RR(7 days) = 31; RR(1 month) = 8.1). A doubled risk was still observed until 4.5 months for PE, one month for MI and two months for IS. Risks decreased with decreasing disease severity. CONCLUSIONS: Because of increased risk of CVD outcomes, management of persons who survived a severe SARS-CoV-2 infection is required, especially during the first nine months post-infection.

Traffic-Related High Sleep Disturbance in the LIFE-Adult Cohort Study: A Comparison to the WHO Exposure-Response-Curves.

Sleep is negatively affected by environmental noise. In the present study, we investigated self-reported high sleep disturbances (being "highly sleep disturbed"-HSD) from road traffic (primary and secondary road networks), rail (train and tram) and air traffic noise in the LIFE-Adult cohort study in Leipzig, Germany. For this, we used exposure data from 2012 and outcome data of Wave 2 (collected during 2018-2021). HSD was determined and defined according to internationally standardized norms. The highest risk for transportation noise-related HSD was found for aircraft noise: the odds ratio (OR) was 19.66, 95% CI 11.47-33.71 per 10 dB increase in Lnight. For road and rail traffic, similar risk estimates were observed (road: OR = 2.86, 95% CI 1.92-4.28; rail: OR = 2.67, 95% CI 2.03-3.50 per 10 dB Lnight increase). Further, we compared our exposure-risk curves with the curves of the WHO environmental noise guidelines for the European region. The proportion of individuals with HSD for a given noise level was lower for rail traffic but higher for aircraft noise in the LIFE study than in the WHO curves. For road traffic, curves are not directly comparable because we also included the secondary road network. The results of our study add to the body of evidence for increased health risks by traffic noise. Moreover, the results indicate that aircraft noise is particularly harmful to health. We recommend reconsidering threshold values for nightly aircraft exposure.

Health and Care Dependency of Older Adults in Dresden, Germany: Results from the LAB60+ Study.

As the population in Europe ages, an increased focus on the health of older adults is necessary. The purpose of the population-based LAB60+ study was to examine the current health and care situation of the population of older adults in Dresden, Germany, and to assess the effect of age, gender, and socioeconomic status (SES) on health outcomes. In the first half of 2021, 2399 out of 6004 randomly sampled residents of Dresden aged 60 years or older answered questions on their chronic conditions, care dependency, health-related quality of life (HRQoL), and well-being, among others. Of the participants, 91.6% were afflicted with at least one chronic condition, and 73.1% had multimorbidities. More than one-tenth (11.3%) of participants were care dependent. Lower levels of HRQoL and well-being were observed compared to a published German reference population, perhaps because of the ongoing COVID-19 pandemic. Gender differences were observed for some chronic health conditions, and women had a higher risk for lower HRQoL, well-being, and depressivity compared to men. A low SES was associated with a higher risk of the vast majority of health outcomes. Particularly, socioeconomic factors and gender-related inequalities should be considered for the development of prevention and health-promoting measures during late life.