Journal of Agricultural Safety and Health最新文献

In 2006, Cole et al. (2006) reported on tractor overturn-related injuries in Kentucky from a random sample of farmers that numbered 6,063 respondents. The highest number of people who experienced tractor overturns were operators 16 to 20 years old. In 2007, at a National Institute for Occupational Safety and Health (NIOSH) Tractor Safety Initiative meeting in Colorado, John Myers of NIOSH presented a map of the states with the highest overturn fatality rates: Tennessee, Kentucky, West Virginia, Ohio, Pennsylvania, and Illinois. Significantly, four of these states, including Kentucky, overlap the Appalachian region (Cole, 2007; Hard and Myers, 2001). In Kentucky, this region involves farming on slopes, as examined by Saman et al. (2012), who found a high-risk cluster of tractor overturns among ten Kentucky counties in the Appalachian region, with a 97% increased risk of overturn as compared to other Kentucky counties. In 1971, James Arndt of Deere & Company presented a 50-year review of rollover protective structures (ROPS) at a Society of Automotive Engineers (SAE) conference. Arndt (1971) estimated that, over the previous 50 years, 30,000 operators had been killed when crushed by tractor overturns in agriculture and construction work. Since then, ROPS have been recognized as an effective device to prevent death in the event of a tractor overturn (Reynolds and Groves, 2000). Nevertheless, the epidemic of tractor-related deaths has continued into the modern era, and the cost of ROPS has been found to be a significant barrier to retrofitting tractors that lack ROPS (Myers et al., 1998). To provide a low-cost alternative, NIOSH safety engineers have designed, tested, and provided instructions for building and fitting cost-effective ROPS (CROPS) onto pre-ROPS tractors (i.e., tractors built before 1968) (Hard et al., 2016).

Forestry activities, such as tree cutting and harvesting of forest resources, have been documented as dangerous tasks with increased risk of injuries and fatalities. These hazards are well known in the professional logging community, but less attention is given to farmers who perform occasional tree trimming and cutting activities, especially for the older farmer population. This study examined Indiana farm work-related fatalities from 1988 to 2017 involving farmers 55 years and older who performed occasional wood cutting activities. Fatality cases were mined from the Purdue University Agricultural Safety and Health Program's fatality database. A total of 40 fatality cases were reported, representing 10.3% of all reported farm fatalities of farmers 55 years and older over the time period. The average age of the victims was 67.4, with 65% of cases involving victims 65 years or older. All victims were males. Wood cutting fatalities increased over the observation period. The most frequently reported fatal injury type was being crushed by tree or tree limbs, with 16 cases (40%), and the most common cause of fatality was due to cutting and trimming of trees, with 27 cases (67.5%). It was determined that the incidents were largely preventable and that future injury prevention strategies should address the risks associated with aging, the added risk of being struck by limbs or trees due to unsafe felling practices, the need for appropriate personal protective equipment, and the hazards involved in operating agricultural tractors in wooded areas.

Based on earlier studies, farmers have poorer work ability compared to workers in most other occupations. The aim of this study was to explore if organic production has a positive effect on producers' work ability while controlling for demographic and production characteristics. This study used telephone interview data collected by the Finnish Institute of Occupational Health in 2014-2015. The material consisted of 2,164 farmers: 231 in organic production and 1,933 in conventional production. Work ability was measured with a single question regarding the farmers' current work ability compared with their lifetime best on a scale of 0 to 10, with 0 meaning unable to work. The data were analyzed using multivariable logistic regression. Organic production had a negative effect on work ability, while larger farm size, experiencing economic uncertainty rarely/never/occasionally (vs. often), age under 55 years, having occupational health coverage, and experiencing low amounts of physical strain or mental strain had positive effects in a multivariable model. While this study could not consider potential biases from the farmers' existing health status at the time of switching to organic production and other sources, it is clear that greater attention needs to be paid to improving worker health, safety, and wellness in organic farming.

There is limited research exploring agricultural workers' own perspectives on the relative importance of the hazards and stressors they experience. There is also a lack of evidence on whether this reporting differs by method of elicitation. Finally, very little research exists on how to improve mail survey response rates among agricultural workers. We examined health and safety concerns and psychological stressors among Midwestern farmers. We assessed whether these reports varied by survey mode (mail survey versus in-person survey). The efficacy of two different types of incentives to enhance mail survey response rates among agricultural workers was also investigated. In 2018, a needs assessment survey was developed and mailed to a random sample of farm owner-operators in Iowa, Ohio, and Missouri, with randomly assigned prepaid or promised monetary incentives. In-person surveys were conducted among farm owner-operators and hired workers at three regional farm shows in Iowa, Minnesota, and Nebraska. The mail survey response rates were compared by incentive type. Content analysis was used to generate themes associated with health and safety concerns and psychological stressors, which were then ranked by frequency counts. Chi-square tests were used to analyze variation in the distribution of these themes by survey mode. The response rate for the $1 prepaid incentive was double that of the $10 promised incentive. Content analysis identified 13 health and safety concerns and eight psychological stressors. Chemicals, equipment/tools, and health outcomes were the most frequently noted health and safety concerns. Finances, climate/weather, and farm workload and management were the most frequently noted psychological stressors. Although there was considerable overlap in survey responses across mail and in-person respondents, important differences by sample and survey mode characteristics were observed. The results can support a variety of stakeholders in prioritizing and developing interventions and educational resources to address health and safety concerns and psychological stressors among Midwestern farmers. Our findings also contribute to the evidence base on primary data collection methods for agricultural workers.

This article presents data for agricultural work-related fatal injuries to non-working youth (> 18 years old) in Pennsylvania. Cases were identified from the Pennsylvania Farm Fatality (PA-FF) database for the period 2000-2018. The circumstances of the death in each incident were reviewed from news clippings, death certificates, and other reports available to determine the victim's status as a bystander, passenger, or other non-working child. The study identified 69 agricultural work-related fatalities to non-working youth in Pennsylvania. Incidents were coded as non-working accomplice (26), non-working accomplice extra rider (14), non-working attendant (25), and ambiguous (4). Fatalities to children > 5 years old accounted for 74% of the non-working youth fatalities, and most (75%) of the victims were male. Plain Sect community members (Anabaptists) comprised 78% of the cases. Children contribute significantly to the overall burden of agricultural work-related fatal injuries in Pennsylvania, especially as bystanders. From the review of the data, we conclude that fatal injuries to non-working children on farms are preventable. The process of identifying different injury patterns associated with non-work-related child activity has increased our understanding of how safety professionals and community members may help prevent these fatalities. Many researchers have noted a variety of intervention efforts that show potential for providing safer farm and home environments but will need long-term commitments in various capacities.

Agriculture technology is moving toward automation, placing operators in a supervisory role. This change in operator workload may lead to increased stress and higher mental load, resulting in reduced attention and hence greater risk of illness or injury to humans and damage to equipment. This study investigated the use of easily applicable equipment to measure mental load. Three methods were used to measure the mental load on machine operators: heart rate monitoring, two types of electroencephalograph (EEG) evaluation, and an assessment protocol. Three driving exercises (general driving, slalom driving, and loading) and a counting exercise were used in a driving simulator to create different levels of mental load. Due to the number of exercises, a single-scale assessment protocol was used to save time. We found that only the assessment protocol gave clear results and would work well as an evaluation tool. The heart rate and EEG measurements did not provide clear data for mental load assessment.

Each year, many fatalities result from rollovers of agricultural tractors in Japan. In addition to rollover protective structures (ROPS) and seat belts, a warning device that alerts the operator of impending rollover based on the tractor stability index is a measure used to prevent rollovers. The stability index requires inertial parameters, which have been measured only for the single body of the tractor, to calculate the warning threshold. In this study, the center of gravity (CoG) and lateral stability angles of three agricultural tractors were measured, and lateral stability angles were also calculated and compared with measured values for three tractor-tiller combinations to analyze the effect of the attached implement on the tractor stability as well as to verify the accuracy of the calculation methods. The roll moment of inertia (RMI) was also measured for two tractors and two rotary tillers, and RMI values for tractor-tiller combinations were calculated. The measurement and calculation results show that the attached implement increased the lateral stability angle of tractors in phase I rollover and decreased the lateral stability angle in phase II rollover, and for a certain tractor-tiller combination, there was no transition from phase I to phase II rollover. The difference between the measured and calculated lateral stability angles in phase I ranged from -3.5° to 2.5°, while that in phase II ranged from 0.2° to 5.2°. The RMI about the longitudinal axis through the CoG was 203 and 433 kg m-2 for tractors A and B, respectively, and 52 and 94 kg m-2 for rotary tillers D and F, respectively. The calculated RMI values were 265 and 540 kg m-2 for tractor-tiller combinations A-D and B-E, respectively.

We are writing in response to the editorial "ROPS Are Not Homemade" by W. E. Field, R. Tormoehlen, S. Ehlers, C. Cheng, A. Talbert, G. Deboy, D. Haberlin, and C. V. Schwab, which was published in the July 2019 issue of the Journal of Agricultural Safety and Health (Field et al., 2019). The editorial warns secondary school teachers and FFA advisors about the potential liability of fabricating and installing low-cost rollover protective structures (ROPS) as service learning projects for agricultural education students. The apparent intent of the editorial is to discourage teachers and advisors from carrying out such projects. We wish to present arguments as to why these are actually highly beneficial projects to undertake, and perhaps one of our best hopes for significantly reducing the number of tractor overturn injuries and fatalities by directly involving our nation's youth.