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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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

Generation of reliable data underpins the effectiveness of Occupational Health and Safety (OHS) surveillance systems. Despite the importance of understanding OHS data systems, there are few papers that provide overviews of their structure and/or content. This paper introduces a basic framework for assessing OHS data systems that will be of use to researchers internationally. We applied this approach to assess the Irish OHS data system by undertaking a data mapping exercise. We developed a checklist based on recommendations of monitoring and measurement of OHS proposed by the National Academies of Sciences, Engineering, and Medicine (USA). An assessment of published reports that present systematic OHS surveillance data was undertaken to identify the institutions or organisations responsible for collecting and curating the data, their remit, and, associated with this, their respective case definitions. We then provide an overview of the variables collected and these are then mapped against the checklist. The assessment highlights that whilst the farm fatalities dataset provides complete coverage of all fatalities, regardless of age or employment status, the same is not true of the three non-fatal injuries datasets reviewed. There are important differences in the data collection methods and, associated with this, which populations are covered. The assessment approach provides valuable insights into the strengths and weaknesses of a critical element of OHS surveillance systems, namely the production of datasets. This knowledge is important for researchers as understanding the data that informs their research is fundamental to good science. It is critical for policy-makers and other stakeholders to understand the strengths and weaknesses on which OHS policy, strategies, or education and training interventions are developed. [ABSTRACT FROM AUTHOR]

Agriculture is one of the most important and also hazardous industries in Australia. Having a sound knowledge and understanding of the circumstance of injury events is critical to developing evidence-based intervention programs. This paper aims to provide a brief historical snapshot of the development of data systems underpinning the assessment of fatal farm injury in Australia and how it has impacted on safety policy and practice. The first Australian studies used coronial information to explore agricultural fatalities, these studies reviewed paper-based records (in-situ) and collected the information for analysis and reporting. This task was laborious and costly. When the National Coronial Information System (NCIS) was established in 2000, this allowed access to coronial records online. Information provided about the deceased includes demographics, contextual details on the nature of the fatality and autopsy, toxicology, and police reports, as-well-as the coroner's finding. Information from the NCIS, along with media reports, have been used to develop the farm fatality database. This information has been used to inform the safety goals and targets for farm commodity groups, identify key risks, provide long-term benchmark indicators and underpin the development of prevention materials and training resources. Without accurate, timely, concise and relevant data about injury occurring on farms, there is no evidence to drive policy and practice or to evaluate programs of work. As such, the continued utilization and extension of the NCIS data will prove crucial to further reducing the burden of preventable fatal injuries on Australian farms. [ABSTRACT FROM AUTHOR]

Workplace sexual harassment (WSH) is a systemic problem in agricultural employment. In the United States, where most research on the topic has been conducted, studies have suggested the rate of WSH against women farmworkers may be as high as 95%. Women who are immigrants, younger, have precarious immigration status, and come from indigenous communities are particularly vulnerable to WSH. The purpose of this study was to identify and describe the factors that contribute to such high rates of WSH in waged employment in the agricultural sector. To achieve this, we completed a systematic review of the empirical literature on sexual harassment in agricultural workplaces. Our review includes 29 empirical studies on WSH in agriculture, including 13 studies conducted in countries within the Global North and 16 from the Global South. The paper presents a typology of WSH in agriculture, categorizing its emotional and physical forms and describing what the literature reveals about its impacts on those who experience it. We then present our analysis of the structural and cultural factors contributing to high WSH rates in waged agricultural employment. We found that migration policies, the organizational and physical characteristics of agricultural work, the informality of employment relationships, traditional masculinity norms, and weak enforcement of workplace regulations were the principal factors facilitating high rates of WSH in agriculture. However, the study has limitations: it primarily focuses on literature in English and Spanish, risking geographical bias towards the Americas and potentially overlooking significant research in other languages or published in less accessible databases, including grey literature and regional reports. These limitations highlight the need for broader research to fill these empirical gaps, particularly from the Global South. [ABSTRACT FROM AUTHOR]

ObjectiveMethodsResultsConclusionMeasuring attitudes of farmers to safe farming practices using quantitative causal relationship approaches is central to improving understanding of (un)safe practices. This knowledge is important in the development of effective farm safety interventions. However, the accuracy of quantitative attitudinal studies in explaining farmers’ decision-making faces a potential measurement challenge, i.e. a high level of optimism bias. In this paper, we present research that develops and tests farm safety attitudinal questions that are framed around “real-life” farming practices with the objective of reducing optimism bias.We apply construal level theory (CLT) to support the design of vignettes that reflect common risk scenarios faced by farmers. Applying qualitative analysis of 274 fatal farm incidents that occurred in Ireland between 2004 and 2018 we identify the occupational behaviors (what farmers do), social (who are farmers), spatial (where farming takes place), and temporal (when farming happens) dimensions of risks resulting in most deaths. The results informed subsequent co-design activities with farm safety experts and farm advisors to develop “real-life” scenarios, attitudinal questions, and response options. The questionnaire was piloted and subsequently implemented to collect data from a sample of 381 farmers with either tractors or livestock. The results of the survey were compared to previous attitudinal research on farmer’s attitudes to safety in Ireland to establish if there was as follows: i) increased variance in the responses, and ii) a statistically significant difference in the attitudes of respondents compared to the results reported in previous studies.The findings established that when farmers were provided with real-life scenarios, their responses were less optimistic and more varied, i.e. there was a greater range of responses, compared to previous studies.Applying CTL to the development of attitudinal survey instruments anchors attitudinal questions within farming specific occupational, social, spatial, and temporal contexts. The use of vignettes that draw on real-life scenarios offers the potential for improved design of surveys that seek to understand farmer/worker practices. The results suggest that this approach can improve the measurement of attitudes to farm safety. [ABSTRACT FROM AUTHOR]

Researchers and epidemiologists are working to improve the capture of agriculture, forestry, and fishing (AgFF) injuries in a variety of ways. A critical component of any surveillance system is the dissemination of information. The purpose of this paper is to report on a survey conducted with AgFF injury surveillance stakeholders to understand preferred dissemination strategies. The survey was distributed using REDCap via web link to organizational stakeholders, which included advisory board members, safety trainers, industry managers and workers, and research collaborators. In total, there were 75 respondents (21% response rate). Occupation and industry influenced preference in update methods. Regarding the length and breadth of updates, 63% of respondents prefer reports (one to five pages), followed by 57% desiring a summary (less than one page), while only 24% wanted a detailed analysis. Social media and news preferences were also different among stakeholders. Surveillance data were desired for 1) trend analysis, 2) tailoring activities and solutions for education, training, outreach and interventions and 3) for research purposes such as grant proposals and evaluation. The dissemination of injury surveillance data should be tailored to the intended audience. Greater attention needs to be paid to the ways in which we share our findings. [ABSTRACT FROM AUTHOR]

Farming is one of the top industries in Michigan and has the highest fatality rate. National sources of non-fatal farm injuries underestimate the burden, especially among children. In this paper, we provide a more accurate estimate of non-fatal farm injuries in Michigan by using an ongoing multi-source surveillance system. Michigan's farm-injury surveillance system includes abstractions of hospital-based medical records, poison control center calls, ambulance runs, and workers' compensation claims for individuals with a farm-related injury. For this analysis, injury onset occurred in 2015 to 2021 and included all injuries regardless of age or occupation. We identified 4,306 injuries in adults and 336 injuries in youth. For those 0–13 years of age all but two were family members. For those 14–15 and 16–17 years of age, 19% and 45%, respectively were hired hands. For adults, 51% were owner/operators, 43% were hired hands, and 5% were family members. For all ages, the most frequent injury source was cattle. Lacerations/cuts/punctures were the most common type of injury for those < 14 years of age while for older individuals it was contusions/bruises. The plurality of injuries occurred in the summer months. Children working on a farm are in unique situation and tracking injuries and identifying injury sources provide necessary information to protect their health and well-being. Michigan's farm-injury surveillance system will continue to provide a comprehensive count of work-related injuries among Michigan's farming population. The information is used to direct public health intervention both at the individual and population level. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

The findings presented here derive from a wider study that sought to establish a baseline understanding of mental health and wellbeing among the agricultural community in England and Wales. This paper focuses on selected questions that investigated levels of anxiety and associated stress factors among farm women, a group which has been relatively neglected within previous research on farming mental health in the United Kingdom. A questionnaire survey was widely distributed to members of the agricultural community in England and Wales (n = 15,296) in both paper and online formats. The survey included a number of standardised instruments to assess mental health and wellbeing, including the Generalised Anxiety Disorder-7 scale (GAD-7). Focusing on a sub-sample of female respondents (n = 3487), this paper details the findings from the GAD-7, alongside those from a selection of other questions investigating sources of stress, loneliness and perceived business viability. A significant proportion of female respondents were experiencing anxiety at the time of survey completion, with 23.3% reaching the threshold for clinically relevant anxiety based on their GAD-7 scores (medium or severe anxiety, scores≥10). A further 34.6% were classified as experiencing mild anxiety (scores 5–9) whilst 42.1% were not suffering from anxiety (scores 0–4). Medium/severe anxiety was identified as being associated with a number of stress factors, feelings of loneliness and pessimistic perceptions of farm business viability. There were important age-based differences, with working-aged women identified as more likely to suffer from anxiety, loneliness and certain stressors than older women. The findings reported here indicate concerning levels of anxiety among farming women and this should be seen as a call to action. There are clear associations between anxiety and a range of stressors and, although we cannot ascertain causality, these point to issues that demand attention in efforts to improve mental health within this social group. The factors contributing to anxiety are, however, multiple and complex and farm women may be affected by particular gender-based challenges that have not yet been explicitly explored in relation to mental health. Further research is needed to investigate and understand these issues in greater depth. [ABSTRACT FROM AUTHOR]

The mental health of the farming community across industrialised nations has long been a major concern. Using an adapted procedure for a systematic literature review of observational epidemiological studies reporting prevalence (informed by the Joanna Briggs Institute method), this paper reviews peer-reviewed literature that explicitly compares farmer and non-farmer mental health (n = 48). In doing so, it provides a central and accessible evidence base for researchers and practitioners, and simultaneously reveals a stark lack of consensus; specifically, 54.0% of measures deployed to assess farmer mental health determined it to be the same as or even better than non-farming populations. This ambiguity sits in sharp contrast to the unequivocally worrisome farmer suicide statistics. Informed by the literature, the paper discusses potential reasons for this mismatch, including (i) farmers' progression through a different "pathway" to suicide that is not always preceded by mental illness, and (ii) a failure of current methods to accurately gauge the mental health status of farmers. The paper concludes by recommending more research into farmers' "pathway" to suicide, and highlights the need for a dedicated and multi-disciplinary programme of methods research that will afford a more culturally appropriate and effective means of understanding mental health in the farming community. [ABSTRACT FROM AUTHOR]

To identify current knowledge about the role of fatigue in occupational injury in the agricultural sector and briefly assess potential intervention approaches. Narrative review of peer reviewed literature (in English) from 2010 to 2022 focusing on fatigue in agricultural and other sectors. Data were extracted from Medline, Scopus, and Google Scholar. The initial search revealed 6,031 papers, of these 33 met the inclusion criteria. The literature unanimously agreed that fatigue contributes to occupational injury in agriculture and related industries. However, there was a scarcity of literature specific to Australia or agriculture. This limits the ability to draw conclusions about the true relationship between fatigue and injury. While fatigue is likely a major contributor to occupational injury in Australian agriculture, the limited literature impedes the ability to draw conclusions and extrapolate interventions used by other industries that are practical and feasible, to agriculture. Future studies should establish the nature of the problem in Australian agriculture and consult with members of the sector to establish the best interventions to ameliorate the problem, then implement and robustly evaluate intervention studies. [ABSTRACT FROM AUTHOR]

In this paper, we use a UK case study to explore how the COVID-19 pandemic affected the mental health (emotional, psychological, social wellbeing) of farmers. We outline the drivers of poor farming mental health, the manifold impacts of the pandemic at a time of policy and environmental change, and identify lessons that can be learned to develop resilience in farming communities against future shocks. We undertook a survey answered by 207 farmers across the UK, focusing on drivers of poor mental health and the effect of the COVID-19 pandemic. We also conducted 22 in-depth interviews with individuals in England, Scotland and Wales who provide mental health support to farmers. These explored how and why the COVID-19 pandemic affected the mental health of farmers. These interviews were supplemented by 93 survey responses from a similar group of support providers (UK-wide). We found that the pandemic exacerbated underlying drivers of poor mental health and wellbeing in farming communities. 67% of farmers surveyed reported feeling more stressed, 63% felt more anxious, 38% felt more depressed, and 12% felt more suicidal. The primary drivers of poor mental health identified by farmers during the pandemic included decreased social contact and loneliness, issues with the general public on private land, and moving online for social events. Support providers also highlighted relationship and financial issues, illness, and government inspections as drivers of poor mental health. Some farmers, conversely, outlined positive impacts of the pandemic. The COVID-19 pandemic is just one of many potential stressors associated with poor farming mental health and its impacts are likely to be long-lasting and delayed. Multiple stressors affecting farmers at the same time can create a tipping point. Therefore, there is a need for long-term support and ongoing evaluation of the drivers of poor mental health in farming families. [ABSTRACT FROM AUTHOR]

Occupational fatality rates are useful in communicating key safety challenges associated with different industries or affecting different populations within those industries. Though seemingly intuitive, the calculation and use of fatality rates associated with farming needs to be carefully considered. This paper highlights difficulties and variability in Farm Fatality Rate (FFR) measures, proposes a series of rates appropriate for assessments of farm safety, and demonstrates their usage through an analysis of farm workplace deaths in Ireland between 2008 and 2016. Six FFRs are calculated including: the Farm Household Rate (FHR); Farm Operator Rate (FOR); Family Worker Rate (FWR), Worker Rate (WR), Seasonal Fatality Rate (SFR) and, Enterprise Fatality Rate (EFR). To assess trends over time we calculate the rate using appropriate numerators and denominators in three sub-periods. FFRs vary considerably depending on which numerator and denominator are deployed. Over the period, the FHR, FOR, and FWR increased due to growth in the number of fatalities and a slight decrease in the denominator populations. The WR has declined substantially over the full period. The QFR increased substantially for Q2–Q4 whilst the EFR highlights workers on dairy or beef enterprises being particularly at risk. The characteristics of farm workforces present many challenges to the calculation of occupational fatality rates. We propose six alternatives that provide insights into the risks faced by farm households, farm operators, farm workers, seasonally and by type of farm enterprise. We recommend that, regardless of the rate used, the limitations associated with all fatality rates are clearly explained, particularly when engaging with media and occupational health and safety stakeholders. [ABSTRACT FROM AUTHOR]

The study purpose was a needs assessment, to identify and quantify health behavior risk-factors of Ohio farmers in sleep, mental health, fruit/vegetable serving frequency, physical activity, tobacco, alcohol and illicit drug use, and weight status. Guided by the RE-AIM implementation framework, the research question was What behavioral choices pose health risk factors for Ohio farmers? This cross-sectional, quantitative, descriptive study used Qualtrics' hyperlinks, QR codes, or paper-and-pencil surveys to collect data on seven focused health behaviors. The survey combined valid and reliable public domain questionnaires. The target audience included Ohio farmers representing various commodities. Extension educators at the county, regional, and state level provided access and data collection during their existing community-based programs and annual pesticide training sessions. The survey has been opened from January 20, 2020 to December 5, 2020 with modified recruitment during COVID. A convenience sample of 505 farmers participated. The majority self-identified as male, married, white, non-Latino, and worked full-time. The most frequent commodity was field crops. Most farmers reported 7-to-8 h of sleep, but the MOS SLP6 subscale indicated 89.5% of the farmers reported a score greater than 51. The two PHQ-2 questions showed 9.6% of the farmers scored >3, indicating a likely major depression disorder. Fruit and vegetable serving frequency appeared less than dietary recommendations. Time spent in physical activity did not meet guidelines. Almost 80% of the farmers said they did not use tobacco; the most common choice was chews and snuffs. Audit-C showed 31.4% of the men and 27.7% of the women can be categorized as hazardous drinkers. Illicit drug use was reported by 3.7%. Most farmers were obese or overweight. Male respondents were 83.5% overweight or obese; females 70.8% were overweight or obese. Males ages 55–64 years were mostly likely to be obese (58%) followed by males ages 35–44 years (46%). Results were compared to Ohio's Behavioral Risk Factor Surveillance System. These data will assist county Extension educators in identifying health prevention programming important for farm populations, utilizing community resources and services. While the findings of Ohio farmers may not be generalizable to other state farming communities, this survey and lessons learned can serve as a model for other Extension assessments. [ABSTRACT FROM AUTHOR]

Non-technical skills, the social and cognitive skills thought necessary for safe and effective working, have been studied within the farming context over the past six years. However, these skills are not yet taught as part of a safety curriculum for farmers, due, in part, to a lack of defined framework and assessment system. The current paper describes the development of the FLINTS behavioral marker system for discussion, observation, evaluation and feedback on non-technical skills for farmers. The development of the behavioral marker system proceeded through three key stages. First, the current research knowledge on non-technical skills was synthesized to compile a list of non-technical skill categories and elements. Second, a series of discussion groups with subject matter experts was conducted to develop behavioral markers for each element. Lastly, refinement and review of the system was undertaken by academics and experts. The prototype FLINTS taxonomy containing five non-technical skill categories and 16 elements was produced. The non-technical skill categories comprised situation awareness, teamwork & communication, leadership, task management and decision-making each with specific elements and behavioral markers. FLINTS represents the first behavioral marker system for farmer non-technical skills, constructed through expert knowledge and advice via discussion and review groups, combined with underpinning research findings. This represents the first step towards the development of non-technical training and assessment for farmers. The current version of the FLINTS system is freely available to all potential users (). [ABSTRACT FROM AUTHOR]

Surveillance of injuries in production agriculture is necessary to inform stakeholders about workplace hazards and risks in order to improve and advance injury prevention policies and practices for this dangerous industry. The most comprehensive fatal injury surveillance effort currently in the United States is the Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI), which covers occupational fatalities in all U.S. industries, including production agriculture. However, this surveillance does not include many categories of fatalities that occur during agricultural work or on production agriculture worksites. To better capture the human cost of production agriculture, the authors of this paper call for the collection of additional data with a broader scope that supplements, not replaces, the current CFOI. This paper describes challenges in surveillance, highlights key procedural gaps, and offers recommendations for advancing national surveillance of fatal traumatic injuries associated with production agriculture. [ABSTRACT FROM AUTHOR]

The agricultural industry has been identified as one of the most hazardous industries in developed countries. The main purpose of this paper was to conduct a comprehensive analysis of agricultural accidents (or injuries) in Taiwan during the period of 2009 to 2018. The occupational accident rates (per 1,000 farmers employed) in Taiwan's agricultural industry showed a decreasing trend over the past decade from 1,486 in 2009 to 1,053 in 2018. This trend could be attributed to the joint-cooperation efforts of the industrial, official, academic, and non-profit parties under the Occupational Safety and Health Act (OSHA) revised in 2013. Although the occupational accident, disability, and other injury rates in all non-agriculture industries were higher than those in the agricultural industry during this period, the fatality rates in the agricultural industry were higher than those in all industries. Finally, some inter-ministerial measures on occupational safety and health issues in the agricultural industry for preventing agricultural accidents or injuries were recommended in the paper. [ABSTRACT FROM AUTHOR]

Objective: The Northeast Center for Occupational Health and Safety conducted a survey in December 2020 to understand the impact of the coronavirus disease 2019 (COVID-19) and the Androscoggin Mill explosion among loggers in six states: Maine, New Hampshire, Vermont, New York, Pennsylvania, and West Virginia. Methods: Logger mailing addresses were aggregated with the assistance of state logging organizations. A paper survey, including a self-addressed return envelope was mailed to the loggers in December 2020. Results: The mailed survey had a response rate of 13.3% and captured data on 484 loggers. The majority knew someone (including themselves) who tested positive for COVID-19 (71.9%). Less than half (43%) received employer training about COVID-19 prevention measures, though 73% received some form of COVID-19 personal protective equipment from their employers. The health department, Centers for Disease Control and Prevention (CDC), and health care providers were the most trusted sources of health information. Nearly half acknowledged significant change in their home lives and work responsibilities due to the pandemic. The explosion of the Androscoggin Mill affected the business of 80% of Maine loggers, and 18% of loggers that resided outside Maine. Conclusion: The lessons learned can be used to enhance trust in public health institutions and future public health response to this unique occupational group. [ABSTRACT FROM AUTHOR]

Purpose: Participatory ergonomics engages workers in the development of strategies to reduce workplace-related pain, offering a flexible and practical option to create individualized context-specific strategies. This paper describes the outcomes of a feasibility study using a participatory approach for self-management of low back pain in clam farmers. Methods: A within-subject time-control design with repeated baseline and post-intervention assessment was used. After refining individual and team-based strategies, stakeholder interviews, and rapid prototyping, workers selected three strategies to use for 8 weeks. Frequency and ease of use for strategies are described. Pre-post paired t-tests were used for analysis of pain-related disability, difficulty and pain with work tasks, pain-related fear, self-efficacy, and coping. Analysis of improvements exceeding published and individual variability was calculated. Results: Participants chose both team and individual strategies, most using strategies 5 days a week >50% of the time. Significant improvements in pain-related disability, pain during specific tasks, pain-related anxiety, and coping were seen after 8 weeks of implementing strategies. No changes in task difficulty, fear, self-efficacy and average resting pain were reported. Pain improvements > MDC95 were reported by 74% with 56–64% > personalized MDC95 for lifting tasks. Conclusions: Pain-related disability, work activity pain ratings and related pain anxiety and coping improved beyond individual variability in this feasibility study. Multiple strategies allowed workers to choose relevant self-management options. Introduction of work-related changes in the workplace, visual demonstration, review of team videos and reminders were helpful. Further studies of this approach are needed. [ABSTRACT FROM AUTHOR]

Objectives: A common understanding of the term "vulnerable populations" in the European agricultural context is needed. Therefore, the purpose of this paper was to identify vulnerable populations working in European agriculture. Methods: Participatory dialogue with members of the Safety Culture and Risk Management in Agriculture (SACURIMA) network was used to identify and build consensus on the major vulnerable groups of people who work in European agriculture. Results: Five groups of vulnerable people were identified, which included: (1) foreign-born farmworkers (including both immigrants and refugees); (2) migrant and seasonal farmworkers; (3) beginning farmers (those with <5 years of experience); (4) farm families (including women, children, and older adults), and (5) farmers and farmworkers who have physical, mental health, or intellectual disabilities. Conclusion: By developing a consistent understanding of vulnerable populations working in European agriculture, we can promote consistency in health and safety messaging, measurement of health and safety constructs, and implementation and dissemination of health and safety programs and information. [ABSTRACT FROM AUTHOR]