Journal of Agromedicine最新文献

This article describes an interprofessional collaboration between Sanford Health and North Dakota State University that strengthens agricultural injury surveillance in the upper Midwest by using multiple sources of health data and geographic information systems (GIS) technology. We provide methodological insights and considerations for using and combining facility-level trauma registry (FLTR) data, national data sets, and GIS to identify areas with disproportionate agricultural injury prevalence. Additionally, we discuss the benefits of FLTR data, how and why it is collected, the data it contains, and how it can be combined with national datasets to fill-in surveillance gaps. Lastly, we offer recommendations for building cross-institutional and interprofessional partnerships.

Objectives: This paper sought to determine risk factors of occupational injury in the Irish dairy farming sector and to estimate the roles of both dairying expansion and the discipline of agricultural extension in influencing reducing injury occurrence.

Methods: Data for this study was obtained via the Irish National Farm Survey (NFS). In total, 260 farm (83.6% of NFS dairy farm sample) workplace injury survey questionnaires were completed by NFS recorders by interviewing principal farm operators for year 2017. Injury survey data was analysed for 48 variables in conjunction with NFS core farm socio-economic, physical and financial data. Additionally, core data from 2010 for 78.5% of farms surveyed in 2017 was included in the study. Data were analysed using a three-step statistical testing process which met all Binary Logistic Regression assumptions.

Results: The study found that dairy farms had a higher farm workplace occupational injury level compared to a previous study. The study data indicates occurrence of elevated injury levels on farms which expanded and which were intensively managed from a milk production perspective. Farm expansion was associated with increased labor units used and increased investment per hectare. The study also found that use of extension services and farm discussion group participation were not associated with injury occurrence.

Conclusions: This study demonstrates how a retrospective farm workplace occupational injury survey of Irish dairy farms, analysed in combination with farm business data can be used to identify injury risk factors, including those associated with production expansion. Irish dairy farms have a heightened farm workplace occupation injury level while dairy production expansion increased injury levels. Extension engagement did not influence on injury levels. Approaches to improve farm safety on dairy farms are outlined.

Objectives: Agriculture is the one of the hazardous industries in the world. Though there is significant investment in agricultural safety, machine injuries continue to be the leading cause of agriculture injuries worldwide. The objective of this study was to provide a comprehensive literature review on global patterns in agricultural machine injuries and establish a framework for future research aimed at addressing safety concerns in the agriculture sector.

Methods: The existing scholarship on farm machine injuries can be categorized into three main areas: a) farming machine/equipment injuries, b) factors associated with these injuries, and c) injury patterns.

Results: Overall, the findings highlight that farm tractors are the primary source of injuries for both fatal and non-fatal incidents regardless of region. Other common sources of injuries were harvesting machinery and hand/power tools in Asia, ATVs in North America and woodworking machinery in Europe. Inadequate training in operating farm equipment was reported as the most likely factor contributing to machine-related injuries. Lastly, the patterns of injuries vary based on the interaction between humans and machinery. For instance, rollovers often result in severe head and fracture injuries, while thresher incidents can lead to amputation of hands, arms, and other body parts.

Conclusion: Addressing these injuries by implementing safety protocols will not only enhance the well-being of farm workers but potentially attract more workers to the sector, which is currently experiencing labor shortages due to machine-related injuries.

Suicides are increasing in U.S. youth, particularly in rural areas. The influence of farming, however, is unclear, as suicide rates are higher in individual adult farm workers, but lower in farming-reliant counties. Early recognition of suicidality (suicidal ideation, intent, or attempt) is a key element of prevention, but there are no prior studies comparing suicidality in farm vs. non-farm youth. The purpose of this study was to examine associations between farm/rural residence and suicidality. Medical records were reused from an existing cohort of child and adolescent patients under surveillance for agricultural injuries in a Wisconsin healthcare system. The sample included 2,010 youth who lived on farms and 51,900 youth who did not live on farms (57% rural). The outcome was medically attended suicidality in 2017-2022 per a composite of diagnoses for suicidal ideation, attempt, or intentional self-harm that presented to ambulatory, emergency, or inpatient care settings. Suicidality was observed in 0.8% of farm, 1.8% of non-farm rural, and 1.6% of non-farm non-rural youth. After covariate adjustment, farm youth had significantly lower odds of suicidality (adjusted odds ratio [aOR] [95% confidence interval; CI] = 0.55 [0.33, 0.91], P = .019), while non-farm rural youth had significantly greater odds of suicidality (aOR [CI] = 1.21 [1.05, 1.40], P = .007), relative to non-farm non-rural youth. Children and adolescents who live on farms are about half as likely to (medically) present for suicidality as compared to their non-farm counterparts, both rural and non-rural. Future research should identify causal suicide protection factors in farm youth.

Objectives: Literature on occupational risks among organic farmers is scarce. This study explored safety practices and non-fatal injuries among organic producers, and the role of sociodemographic, work, and farm characteristics on safety and injury.

Methods: Cross sectional survey of certified organic crop producers in the Southwest (SW) region of the United States (US). The Organic Integrity Database was used for recruitment. Data were collected through an electronic and paper survey.

Results: Analyses were conducted on 115 cases; response rate was estimated at 25%. A high majority of respondents owned their operation and were younger than 65 years, male, educated beyond high-school, and non-Hispanic whites. Less than half had more than 10 years of experience in organic farming; one-third worked off the farm year-round. Safety practices were very basic despite the widespread use of equipment and machinery, and limited to wearing normal clothing and apparel such hats and glasses. About half of respondents (52.6%) reported non-fatal injuries in the past year; and one-third (32.7%) time lost due to injuries. The overall cumulative incidence rate was estimated at 5.3 injuries per 10 workers within the last year. The injury rate decreased with hours worked. Significant differences were found on gender and education level and safety practices, with female respondents and the more educated being more proactive in practicing safety. Those working less than 40 h/week, in farms smaller than 50 acres, using light machinery or compact utility tractors, and tractors without roll-over protection reported significantly higher injury frequency compared to their counterparts.

Conclusion: This study contributes unique data on an essential workforce not captured by current occupational injury and illness surveillance systems. It identifies important personal and contextual factors that may contribute to safety and injury in this population. The findings indicate the need to promote safety and prevent injuries that result in work time lost. This study may also inform future occupational safety and health research and practice, including surveillance, injury prevention programs that target certain workers and production practices, and policies that support and protect the organic farmer.

Introduction: Agricultural injuries remain a major concern in North America, with a fatal injury rate of 19.5 deaths per 100,000 workers in the United States. Numerous research efforts have sought to compile and analyze records of agricultural-related injuries and fatalities at a national level, utilizing resources, ranging from newspaper clippings and hospital records to Emergency Medical System (EMS) data, death certifications, surveys, and other multiple sources. Despite these extensive efforts, a comprehensive understanding of injury trends over extended time periods and across diverse types of data sources remains elusive, primarily due to the duration of data collection and the focus on specific subsets.

Methods: This systematic review, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, consolidates and analyzes agricultural injury surveillance data from 48 eligible papers published between 1985 and 2022 to offer a holistic understanding of trends and challenges.

Results: These papers, reporting an average of 25,000 injuries each, were analyzed by database source type, injury severity, nature of injury, body part, source of injury, event/exposure, and age. One key finding is that the top source of injury or event/exposure depends on the chosen surveillance system and injury severity, underscoring the need of diverse data sources for a nuanced understanding of agricultural injuries.

Conclusion: This study provides policymakers, researchers, and practitioners with crucial insights to bolster the development and analysis of surveillance systems in agricultural safety. The overarching aim is to address the pressing issue of agricultural injuries, contributing to a safer work environment and ultimately enhancing the overall well-being of individuals engaged in agriculture.

Objectives: There is limited research on the factors that contribute to suicides among farm and agriculture workers. The purpose of this analysis was to examine the socio-demographic characteristics and circumstances that may increase risk of suicide for a farm worker by using the detailed data from the Kansas Violent Death Reporting System (KS-VDRS).

Methods: KS-VDRS is a state-based system and was used to look at suicides among farm and agricultural workers that occurred in Kansas from 2016 to 2020. Frequencies, percentages, and age-adjusted rates were calculated to compare trends between farm/agriculture workers and other major occupational groups (non-farm/agriculture). Females were not included in this analysis due to low counts in the occupational group.

Results: In Kansas, male farm and agriculture workers die by suicide at a rate of 147.5 per 100,000 population, which is 3 times that of the average male workers (45.2 per 100,000 population). Male suicide decedents in farming and agriculture-related occupations were older with a mean age of 54 years and less educated (73% had a high school diploma or less) than their non-agriculture counterparts (mean age 44 years, and 57% had a high school diploma or less). Common circumstances around time of death were current depressed mood (58.6%), current mental health problem (41.4%), and physical health problem (31.4%).

Conclusion: KSVDRS provides valuable information on the circumstances surrounding suicides, and this can inform prevention efforts within and across states. Numerous factors may contribute to the increased risk of suicide among farmers and those who work in agriculture. Physical health problems, family relationship problems, and financial problems are more commonly reported among this population compared to other male workers. Findings from this report highlight the complexity of suicide risk within the farm and agriculture industry in Kansas and reinforce the need for state-specific data and tailored prevention efforts.

Conducting surveillance of agricultural injuries and fatalities in the United States has been an ongoing challenge, with many cases falling outside the criteria of national and local surveillance systems. In this research, capture-recapture analysis was used to estimate the number of fatal agricultural injuries in Indiana between 2016 and 2020. A limited analysis of non-fatal injuries is also provided. This analysis was possible because of two publicly available datasets containing incident descriptions with sufficient detail for case matching. The first dataset consisted of summary lists of fatal and nonfatal agricultural injuries in Indiana published in annual agricultural fatality reports produced by the Purdue Extension. The second data source was AgInjuryNews, which gathers reports of agricultural injuries and fatalities published in news media and other publicly available sources. Results of the capture-recapture analysis estimate that, every year in Indiana, the Purdue Extension misses 18% of fatal incidents and AgInjuryNews misses approximately 60%. AgInjuryNews identifies approximately 3 fatal incidents per year that are missed by Purdue Extension. Analysis of nonfatal incidents was limited by the fact that both data sources only included nonfatal injuries that were extremely severe and/or connected to a fatality. The Purdue Extension is estimated to miss 22% and AgInjuryNews is estimated to miss 25% of nonfatal agricultural injuries meeting that narrow definition. While capture-recapture analysis only provides estimates of true injury rates, the results provide evidence that Purdue Extension's surveillance captures most agricultural fatalities in the state. AgInjuryNews has been able to identify cases missed by Purdue, and this research takes an important step forward in quantifying how media reports found in this data source differ from extension surveillance. This research also highlights the continuing limitations in the surveillance non-fatal injuries and the ways in which publicly available data can aid researchers in filling gaps in surveillance.