Purpose Of Review: Exposure to bioaerosols at dairies has long been associated with allergy, respiratory disease, and decreases in lung function. Recent advancements in exposure assessments have aided our understanding on the size distribution and composition of these bioaerosols, but investigations focusing solely on exposures may overlook important intrinsic factors impacting worker's susceptibility to disease.
Recent Findings: In our review, we discuss the most recent studies examining the exposures and genetic factors that contribute to occupational disease in dairy work. We also review more recent concerns in livestock work associated with zoonotic pathogens, antimicrobial resistant genes, and the role of the human microbiome. The studies highlighted in this review demonstrate the need for further research to better understand bioaerosol exposure-response relationships in the context of extrinsic and intrinsic factors, antibiotic-resistant genes, viral pathogens, and the human microbiome to help inform effective interventions that improve respiratory health among dairy farmers.
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http://dx.doi.org/10.1007/s11882-023-01081-2 | DOI Listing |
J Dairy Sci
January 2025
Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Clinical mastitis, a prevalent production disease in the dairy industry, causes significant pain and swelling in dairy cows' udders. While previous research highlights a symbiotic relationship between humans and animals, particularly in terms of health, this study investigates how animal health, specifically clinical mastitis, influences farmers' well-being. Acknowledging farmers' pivotal role in mitigating animal health problems, we examined the human-animal relationship by exploring how dairy cow health relates to the psychological well-being of dairy farmers.
View Article and Find Full Text PDFVet Med Sci
January 2025
College of Veterinary Medicine and Animal Science, Samara University, Samara, Ethiopia.
Background: Lack of knowledge regarding zoonotic transmission, prevention and control measures is a potential high risk for the occurrence of zoonotic diseases.
Objective: The study aimed to assess knowledge, attitude and practices of dairy farm participants concerning zoonoses.
Animals: A cross-sectional study was conducted from March to August 2022 in and around Sodo town, using a questionnaire among dairy farm participants (n = 123).
Vet Anim Sci
March 2025
University of Dar es Salaam, P.O. Box 35091, Dar es Salaam, Tanzania.
This study aimed to evaluate and compare Bayesian predictive models to identify and quantify the key household inputs affecting cattle milk production in Tanzania. A sample of 1,266 households with at least one milked cow was extracted from the National Panel Survey datasets, the data were collected in 2012/2013 (wave 3), 2014/2015 (wave 4), and 2020/2021 (wave 5). Two generalized linear and generalized additive mixed models were fitted using the Integrated Nested Laplace Approximation.
View Article and Find Full Text PDFOne Health
June 2025
Dahdaleh Institute for Global Health Research, York University, Canada.
Antimicrobial resistance (AMR) represents one of the biggest threats to health globally. The rise of AMR has been largely attributed to the misuse and abuse of antimicrobials in veterinary, human, and agricultural medicine. This study aimed to assess human, livestock, and agricultural health profiles, and practices of One Health and antibiotic use through a situational analysis of an Indigenous village Gurah, in a rural area of Mohali district in Punjab state using a demographic and facility survey.
View Article and Find Full Text PDFCurr Res Physiol
December 2024
Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Aging is accompanied by a decline in muscle mass, strength, and physical function, a condition known as sarcopenia. Muscle disuse attributed to decreased physical activity, hospitalization, or illness (e.g.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!