scholarly journals Occupation and risk of severe COVID-19: prospective cohort study of 120,075 UK Biobank participants

Author(s):  
Miriam Mutambudzi ◽  
Claire L Niedzwiedz ◽  
Ewan B Macdonald ◽  
Alastair H Leyland ◽  
Frances S Mair ◽  
...  

Objectives: To investigate severe COVID-19 risk by occupational group. Methods: Baseline UK Biobank data (2006-10) for England were linked to SARS-CoV-2 test results from Public Health England (16 March to 26 July 2020). Included participants were employed or self-employed at baseline, alive and aged less than 65 years in 2020. Poisson regression models adjusted sequentially for baseline demographic, socioeconomic, work-related, health, and lifestyle-related risk factors to assess risk ratios (RRs) for testing positive in hospital or death due to COVID-19 by three occupational classification schemes (including Standard Occupation Classification 2000). Results: Of 120,075 participants, 271 had severe COVID-19. Relative to non-essential workers, healthcare workers (RR 7.43, 95% CI:5.52,10.00), social and education workers (RR 1.84, 95% CI:1.21,2.82) and other essential workers (RR=1.60, 95% CI:1.05,2.45) had higher risk of severe COVID-19. Using more detailed groupings, medical support staff (RR 8.70, 95% CI:4.87,15.55), social care (RR 2.46, 95% CI:1.47,4.14) and transport workers (RR= 2.20, 95% CI:1.21,4.00) had highest risk within the broader groups. Compared to white non-essential workers, non-white non-essential workers had a higher risk (RR 3.27, 95% CI: 1.90,5.62) and non-white essential workers had the highest risk (RR 8.34, 95% CI:5.17,13.47). Using SOC2000 major groups, associate professional and technical occupations, personal service occupations and plant and machine operatives had higher risk, compared to managers and senior officials. Conclusions: Essential workers have higher risk of severe COVID-19. These findings underscore the need for national and organizational policies and practices that protect and support workers with elevated risk of severe COVID-19.

2020 ◽  
pp. oemed-2020-106731 ◽  
Author(s):  
Miriam Mutambudzi ◽  
Claire Niedwiedz ◽  
Ewan Beaton Macdonald ◽  
Alastair Leyland ◽  
Frances Mair ◽  
...  

ObjectivesTo investigate severe COVID-19 risk by occupational group.MethodsBaseline UK Biobank data (2006–10) for England were linked to SARS-CoV-2 test results from Public Health England (16 March to 26 July 2020). Included participants were employed or self-employed at baseline, alive and aged <65 years in 2020. Poisson regression models were adjusted sequentially for baseline demographic, socioeconomic, work-related, health, and lifestyle-related risk factors to assess risk ratios (RRs) for testing positive in hospital or death due to COVID-19 by three occupational classification schemes (including Standard Occupation Classification (SOC) 2000).ResultsOf 120 075 participants, 271 had severe COVID-19. Relative to non-essential workers, healthcare workers (RR 7.43, 95% CI 5.52 to 10.00), social and education workers (RR 1.84, 95% CI 1.21 to 2.82) and other essential workers (RR 1.60, 95% CI 1.05 to 2.45) had a higher risk of severe COVID-19. Using more detailed groupings, medical support staff (RR 8.70, 95% CI 4.87 to 15.55), social care (RR 2.46, 95% CI 1.47 to 4.14) and transport workers (RR 2.20, 95% CI 1.21 to 4.00) had the highest risk within the broader groups. Compared with white non-essential workers, non-white non-essential workers had a higher risk (RR 3.27, 95% CI 1.90 to 5.62) and non-white essential workers had the highest risk (RR 8.34, 95% CI 5.17 to 13.47). Using SOC 2000 major groups, associate professional and technical occupations, personal service occupations and plant and machine operatives had a higher risk, compared with managers and senior officials.ConclusionsEssential workers have a higher risk of severe COVID-19. These findings underscore the need for national and organisational policies and practices that protect and support workers with an elevated risk of severe COVID-19.


2017 ◽  
Vol 28 (6) ◽  
pp. 635-656 ◽  
Author(s):  
Aug Nishizaka

In the analysis of video recordings of the interactions between a doctor and the examinees following internal radiation exposure tests at a hospital in Fukushima Prefecture, I explore how the participants address one of the most serious consequences of the Fukushima disaster, that is, their concerns about radioactive materials. To do so, this study employs conversation analysis. The doctor’s presentation of the test results provides the examinees with a place to express relief and also makes relevant the justification work related to the expression of relief. In conclusion, I consider how the internal exposure tests also function as a communication tool in the context in which residents from affected areas face potential difficulties in expressing their worry about radiation.


Author(s):  
Claudia Schreiber ◽  
Katja Radon ◽  
Angelika Pethran ◽  
Rudolf Schierl ◽  
Karlheinz Hauff ◽  
...  

2019 ◽  
Vol 24 (2) ◽  
pp. 167-176
Author(s):  
Rodriguez ◽  
Casanova ◽  
Levin ◽  
Gimeno Ruiz de Porras ◽  
Douphrate

Background: The U.S. logging sector is among the most dangerous industrial sectors, with high fatality and non-fatal injury rates. Limited research has addressed work-related musculoskeletal disorders among logging machine operators (LMOs). The purpose of this study was to estimate the 12-month prevalence of musculoskeletal symptoms and the associated work-related risk factors among LMOs in the Arkansas, Louisiana, and Texas (Ark-La-Tex) logging region.Methods: A self-administered 93-item questionnaire with six different sections: (1) demographics, (2) lifestyle and medical background, (3) work experience, (4) job training, (5) occupational heat-related stress, and (6) occupational injuries and MSS was administered to LMOs (n = 88) using Qualtrics Mobile Survey Software®. Poisson regression models were used to estimate crude prevalence ratios (PR), adjusted PR [aPR], and corresponding 95% confidence intervals (95% CI).Results: Regarding organizational, ergonomic, and handling equipment occupational factors and 12-month MSS prevalence, the adjusted model controlled for age, BMI, smoking status, and drinking status. For organizational, the most problematic factors for the lower back were performing a task over and over (63.2%) and working very fast, for short periods (60.0%). For ergonomics, the most problematic factor for the lower extremities was awkward or cramped conditions (58.1%) and for the lower back was bending/twisting back awkward (55.9%). Last, for handling equipment, the most problematic for both the lower back and lower extremities was handling or grasping small objects (57.1%).Conclusion: Our findings revealed associations between work-related MSS and specific job factors (e.g., organizational, ergonomic, handling equipment, etc.), extreme environmental conditions or environmental, and personal risk factors. In particular, study findings suggest lower back and lower extremities MSS are associated with the a majority of job-related risk factors, lower extremities with extreme environmental conditions, and neck and upper back with personal risk factors.


Author(s):  
Stefano Cenci ◽  
Giulio Rosati ◽  
Damiano Zanotto ◽  
Fabio Oscari ◽  
Aldo Rossi

According to a recent report of ILO (International Labour Organization), more than two million people die or loose the working capability every year because of accidents or work-related diseases. A large portion of these accidents are related to the execution of motion and transportation tasks involving heavy duty machines. The insufficient degree of interaction between the human operator and the machine may be regarded as one of the major causes of this phenomenon. The main goal of the tele-operation system presented in this paper is to both preserving slave (machine) stability, by reducing the inputs of slave actuators when certain unsafe working conditions occur, and improving the level of interaction at master (operator) side. Different control schemes are proposed in the paper, including several combinations of master and slave control strategies. The effectiveness of the algorithms is analyzed by presenting some experimental results, based on the use of a two degrees-of-freedom force feedback input device (with one active actuator and one passive stiff joint) coupled with a simulator of a telescopic handler.


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