Personal protective equipment (PPE) is always considered the last and sometimes the most important safety shield against pesticides' hazards health risks. The spread of pests and low-quality pesticides, especially in developing countries, has increased health hazard potential among farmers. The present study aimed to assess farmers' health risks when using PPE (composite index) by exploring its most important predictive factors. A sample of 370 farmers in Ardabil province, Iran, was selected based on the multistage sampling method. The results reveal that most farmers use three types of PPE when applying pesticides. Based on their perception of pesticides' health risk, the number of PPE used differs. The highest health hazard in using PPE and the minimum perception of health risks caused by pesticides among farmers are related to the pesticides Paraquat and Chlorpyrifos. Also, the most important predictive factors of the composite index were found to be farm size, pesticides' health risk perception, previous experiences with harmful effects of chemical pesticides on health (especially among large-scale farmers), training courses, and ability to afford PPE-related costs, respectively. Accordingly, farmers' safety and health programs in the region should focus on reducing or replacing the mentioned high-risk pesticides. Reducing government subsidies for high-risk pesticides, establishing government subsidies for farmers' PPE, providing extension training (especially for small-scale farmers), and receiving ongoing training feedback to improve farmers' health risk perception of pesticides and the need to use PPE will effectively reduce farmers' health risks.
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http://dx.doi.org/10.1007/s11356-021-12502-y | DOI Listing |
PLoS One
December 2024
Public Health School, Gansu University of Chinese Medicine, Lanzhou, China.
Background And Objective: The prevalence rate of LDH and its influencing factors in Gansu is unclear. This study aims to analyze the prevalence of LDH and influencing factors in Gansu.
Methods: A stratified multi-stage random sampling method was used to obtain representative samples of residents more than 18 years old from <1500m, 1500-3500m, and >3500m altitude sites in Gansu, China, in June 2022 to August 2022.
Proc Natl Acad Sci U S A
January 2025
Department of Genetics, University of Cambridge, Cambridge CB23EH, United Kingdom.
Uncovering rates at which susceptible individuals become infected with a pathogen, i.e., the force of infection (FOI), is essential for assessing transmission risk and reconstructing distribution of immunity in a population.
View Article and Find Full Text PDFJ Aquat Anim Health
December 2024
Department of Health Management and Centre for Veterinary Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada.
Objective: The primary objective was to construct a time series model for the abundance of the adult female (AF) sea lice Lepeophtheirus salmonis in Atlantic Salmon Salmo salar farms in the Bay of Fundy, New Brunswick, Canada, for the period 2016-2021 and to illustrate its short-term predictive capabilities.
Methods: Sea lice are routinely counted for monitoring purposes, and these data are recorded in the Fish-iTrends database. A multivariable autoregressive linear mixed-effects model (second-order autoregressive structure) was generated with the outcome of the abundance of AF sea lice and included treatments, infestation pressures (a measure that represents the dose of exposure of sea louse parasitic stages to potential fish hosts) within sites (internal) and among sites (external), and other predictors.
Mol Biol Rep
December 2024
Department of Plant Breeding & Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India.
Background: Tomato (Solanum lycopersicum L) is affected by various diseases among which Orthotospovirus arachinecrosis cause huge economical loss to the farmers. Management of viral diseases using systemic insecticides will target the beneficial microflora and fauna besides polluting the environment and cause health hazards. In this context, inducing systemic resistance (ISR) through Bacillus spp.
View Article and Find Full Text PDFSci Rep
December 2024
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Pesticide use poses major public health risks and raises environmental concerns globally. We synthesize three decades of stated preferences and experimental approaches that estimate the social costs of pesticide use through consumer and farmer willingness-to-pay (WTP) to prevent or reduce the risks involved. We contribute to the existing literature by demonstrating that the social costs of pesticides vary significantly depending on risk types and levels, where they occur, who is exposed and their risk aversion.
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