Purpose: This study examined occupational histories in multiple system atrophy to identify environmental associations of potential relevance to disease causation.
Methods: A total of 270 neuropathologically confirmed cases of multiple system atrophy obtained from the Mayo Clinic Brain Bank for neurodegenerative disorders in Jacksonville, Florida, were included in this case-control study. Demographic and disease information was collected from medical records. Information regarding occupational history was collected retrospectively from medical records and published obituaries. Proportions of employment by occupational sector were compared with US census data.
Results: When comparing patients with US census data, significant differences were identified for education (15.2% versus 2.3%, P < 0.001), administration (14.8% versus 4.1%, P < 0.001), clerical (10.7% versus 5.5%, P = 0.001), petroleum industry (8.9% versus 5.6%, P = 0.024), metal industry (7.8% versus 3.0%, P < 0.001), electrical engineers and electricians (5.6% versus 0.4%, P < 0.001), civil or mechanical engineering (4.4% versus 0.2%, P < 0.001), real estate (4.4% versus 0.7%, P < 0.001), information technology (4.1% versus 1.8%, P = 0.011), woodworking (3.0% versus 0.03%, P < 0.001), writing or publishing (2.6% versus 0.3%, P < 0.001), law (2.2% versus 0.4%, P = 0.001), hairdressing (0.7% versus 0.1%, P = 0.03), and social work (0.7% versus 0.1%, P = 0.03).
Conclusions: The listed occupational categories were significantly overrepresented in our series of patients with multiple system atrophy as compared with population data. We hypothesize that these occupational associations may signify environmental exposures, increasing the disease risk in genetically susceptible individuals. We cannot exclude a potential selection bias in patients willing to donate their brains to an academic center to contribute to scientific knowledge.
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http://dx.doi.org/10.1007/s10286-025-01109-9 | DOI Listing |
J Anim Sci
January 2025
Department of Animal Science, Federal University of Viçosa, Viçosa, MG, 36570-900, Brazil.
Pig production is an agricultural sector of great economic and social relevance to Brazil and global markets. Feed efficiency traits directly influence the sustainability of pig production due to the economic impact of feed costs on the production system and the environmental footprint of the industry. Therefore, breeding for improved feed efficiency has been a target of worldwide pig breeding programs.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Psychology, City College, City University of New York, New York, NY 10031.
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets.
View Article and Find Full Text PDFAdm Policy Ment Health
January 2025
LUMC Curium - Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Post Box 15, Leiden, 2300 AA, the Netherlands.
The needs of youth at-risk and their families, facing multiple problems and serious mental health issues, exceed the expertise and possibilities of a single stakeholder (professional, organization, municipality). These youngsters require care in which the expertise of different professionals and organizations is integrated. However, combining various types of expertise to provide integrated care to youth at-risk is challenging.
View Article and Find Full Text PDFClin Auton Res
January 2025
Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Purpose: This study examined occupational histories in multiple system atrophy to identify environmental associations of potential relevance to disease causation.
Methods: A total of 270 neuropathologically confirmed cases of multiple system atrophy obtained from the Mayo Clinic Brain Bank for neurodegenerative disorders in Jacksonville, Florida, were included in this case-control study. Demographic and disease information was collected from medical records.
Int Arch Occup Environ Health
January 2025
Department of Quantitative Methods, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Purpose: This study aimed to identify distinct patterns of pesticide poisoning in Brazil through the cluster analysis of epidemiological data from 2011 to 2019.
Methods: A cross-sectional analysis of 49,233 confirmed pesticide poisoning cases was conducted using multiple correspondence analysis and hierarchical clustering. Data from the Brazilian Notifiable Diseases Information System were analyzed by region, demographics, and exposure types.
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