Journal of Agromedicine最新文献

Objective: The nutritional status of seasonal migrant agricultural workers is negatively affected by problems with working conditions, wages, accommodations, and living conditions. This study aimed to investigate the living conditions, dietary habits, and food consumption frequency of seasonal migrant agricultural workers in Turkey.

Methods: This descriptive, cross-sectional study was conducted in July and August 2022 in the neighborhoods of Akçadağ district in Malatya Province, Turkey. The sample of the study consisted of 262 seasonal migrant agricultural workers aged 15 and over who came to the region for the apricot harvest. The data were obtained using the face-to-face interview technique via a two-part questionnaire including questions on socio-demographic characteristics, living conditions, dietary behaviors and food consumption frequency.

Results: The mean age of the seasonal migrant agricultural workers was 24.16 ± 0.75, and they worked 12.01 ± 0.10 hours per day on average. It was determined 74.8% of the workers had access to clean water, and 50.4% did not think they had an adequate and balanced diet. It was found only 57.3% of the workers had a normal body mass index, 80.2% never ate fish, 53.8% never ate red meat, and 67.2% never drank milk, while only 34.4% were able to eat seasonal vegetables.

Conclusion: The findings of the study show that seasonal migrant agricultural workers in Turkey do not have suitable conditions in terms of food and accommodations, and their working conditions, wages, and health conditions are inadequate. These deficiencies have a negative effect on workers' quality of life and health status.

Objectives: The aim of this study was to analyze how farmworkers are represented in stock photos available in commercial libraries for use in agricultural health and safety education materials.

Methods: We searched for images in five commercial stock photo libraries using the terms "farmworkers" and "women farmworkers" in April 2022. We used quantitative content analysis. We coded each image for containing a visible face, age, gender, skin tone, work activity, mechanization, presence of hazards, technology use, and protective equipment/clothing after establishing inter-coder reliability. We used descriptive statistics to characterize the available stock photos.

Results: We identified stock photos (n = 127) in three databases (Adobe Stock Images, Canva, and Getty Images). Two databases (Microsoft Office Image Library and Pixabay) had no relevant images at the time of the search. Only half of the photos analyzed contained a face. Light skin tones and young or middle-aged adults were more common. A majority of farming activities represented in photos were manual tasks (e.g., harvesting) with few depictions of equipment, hazards, and protective equipment/clothing.

Conclusions: Health and safety professionals tasked with developing materials for education in agricultural settings face a severe lack of imagery pertinent to the realistic conditions of farmworkers in the United States. In the databases we reviewed, photos displaying human faces, photos showing a range of skin tones and ages, and photos displaying an array of different farm hazards are likely not sufficient for material development. Health and safety professionals may benefit from sharing photos from their own work with other professionals and allocating resources for professional photo shoots in their material development projects.

Objective: This study identified rural community experiences and preferences related to available resources and their effects on stress following tornadoes and floods.

Methods: The Rural Natural Disaster Stress and Recovery survey was distributed from December 2021 to February 2022 in rural disaster-affected communities. Within the analysis sample (N = 159) of self-selected participants representing both agricultural and non-agricultural occupations, 125 responded to the Resource Use and Effect survey component that evaluated the effects of 22 resources on post-disaster stress. Additional qualitative questions provided further data.

Results: The most frequently used resources post-disaster were found to be talking about the event (98.3%), friends and neighbors (97.6%) and family (97.6%). Using a derived Impact per Use score, groups from the neighboring community and personal faith activities most often reduced stress. Resources that increased stress were identified as FEMA or other government organizations; repairing, replacing, or rebuilding property; and following news or social media. Participants reported help from their community (35.8%) or things they did for themselves (31.2%) most effectively decreased disaster stress. Family, friends, faith, neighbors, and community were top choices to decrease stress in a future disaster.

Conclusion: Rural residents identified available resources for reducing disaster stress, but some common post-disaster activities were found to increase stress. Rural emergency management should adapt response and recovery plans and activities to leverage readily accessible people, groups, and activities to mitigate negative mental and emotional health effects.

Introduction: Few studies have explored the relationship between para-occupational exposure and risk perception in farmers' families. Women are indirectly involved in agricultural activities, even though their roles most of the time are hidden. Women's para-occupational exposure and risk perceptions are important to describe, since women have a key gender role in the family's health care and possibly in the impact of acting regarding pesticide safety education. Furthermore, in farmer families, the impact of para-occupational pesticide exposure on women's health has been neglected.

Aim: Analyze pesticide para-occupational exposure scenario, knowledge, and health risk perception among women living in a farmer community.

Methods: A mixed methodology was used. Two groups of women were identified to screen the exposure scenario: Women living in a farming family and women not living in a farming family. Data on para-occupational pesticide exposure and intradomicile practices were collected by questionnaire and semi-structured interviews to identify health risk perception and risk practices.

Results: We observed a complex pesticide exposure scenario. All women were potentially exposed to pesticides through several pathways. One-third of the participants lived near a farming family or in proximity to neighbors that used pesticides at home, and one of every three women referred to spending time in a farmer's home. Among the group of women in a farming family (n = 18) stored pesticides inside the home was common; having the "safety practice" of storing pesticides in high places to avoid children being exposed. Women not living in farmimg families (n = 11) felt overexposed due to living in an agricultural community and agricultural drift exposure. Women from this group also mentioned feeling fear of developing cancerous diseases as well as fertility problems.

Conclusions: Knowledge and risk perception of pesticide exposure are similar between groups; however, women living in farming families were less willing to attend preventive health check-ups or educational programs than women not living in a farming family.

Objective: Quad bikes are a leading cause of death and incident-related injury on farms, yet little is understood about rules used by farmers to ensure their safe operation. This study explored rules about quad bikes set by those who live or work on farms. Through the case of quad bikes, this study sought to understand how rules are determined and implemented at the farm level.

Setting: A mix of farm types and locations in rural Australia including Queensland, South Australia, and New South Wales.

Participants: Eight farmers were interviewed and recruited from information sheets at farmers' markets, through a local health organisation, and a media release.

Design: Thematic analysis was used to transform data from eight semi-structured interviews with farmers in rural Australia.

Results: Data were distilled into two themes - "Rule content" described the explicit rules farmers had set on their properties, while the theme "Underlying rule principles" explored the values and norms which underpinned the creation and implementation of these rules.

Conclusions: Through the case of quad bike rules, this study illustrated how rules are determined and implemented at the farm level. Perceptions of risk were tied to farmers being experts in their own environment and therefore able to mitigate risk. In contrast to injury data, reckless use of quad bikes was perceived to cause incidents, and this was the basis of rules for adults and children.

Objective: Farming is a high-risk, physically challenging occupation. Considering farmers report high stress and barriers to seeking healthcare, it is important to understand factors influencing alcohol use to tailor interventions and healthcare resources for alcohol use in rural areas.

Methods: An online survey was distributed to the agricultural community in the United States (n = 1045). Data was collected through QualtricsXM, and SPSS 28.0 was used for data analysis.

Results: Both formal healthcare challenges (β = 0.112, p = .004) and stigma (β = 0.328, p < .001) were identified as predictors of increased perceived stress, while resilience (β = -0.137, p < .001) was identified as a protective factor against perceived stress. Higher perceived stress was identified as a predictor of binge drinking behavior (β = 0.151, p < .001), and formal healthcare challenges were associated with higher drinking volume (β = 0.174, p < .001), and engaging in more frequent alcohol consumption (β = 0.123, p = .004) over the last three months. Resilience was identified as a protective factor against increased alcohol consumption (β = -0.084, p = .032). Stigmatization of help-seeking for mental health challenges was associated with fewer instances of alcohol consumption over the last three months (β = -0.169, p < .001).

Conclusion: Interventions to address stress and alcohol consumption should focus on promoting resilience, reducing stigma, and encouraging peer support to address cultural norms around mental health and alcohol use. Rural practitioners should develop cultural competence to better serve agricultural communities to prevent alcohol use disorders. To discuss ways to reduce stigma and encourage peer support to address alcohol and mental health disorders in rural farming populations.

Objectives: Pediatric farm injuries tend to be more severe and have poorer outcomes compared to injuries sustained in non-farm settings. Timely emergency medical service (EMS) response and transport to definitive care is crucial for optimizing outcomes for trauma patients. We aimed to determine if pediatric farm injuries were associated with longer EMS response and transport times compared to pediatric non-farm injuries in rural communities.

Methods: The 2021 National EMS Information System (NEMSIS) database was used to identify rural EMS activations where injured pediatric patients who were transported to a hospital. Median transport times for farm and non-farm injuries, as well as other components of prehospital time and use of air EMS transport, were compared between injuries on farms and injuries in non-farm rural settings.

Results: The analytic sample included 22,248 rural EMS activations for pediatric injuries, of which 156 (1%) were for pediatric farm injuries. For non-farm and farm injuries, the median transport times were 20 minutes and 28 minutes, respectively. Median total prehospital time was 50 minutes compared to 62 minutes, and 9.8% of patients with non-farm injuries versus 20.5% of those with farm injuries were transported to a hospital by air EMS units. After multivariable adjustment, farm vs. non-farm injury location was associated with a 4 minute increase in EMS transport time, but no difference in initial EMS response time, EMS time on scene, or use of air EMS units.

Conclusion: Among children sustaining an injury that resulted in rural EMS activation, farm injuries were associated with prolonged transport time compared to non-farm injuries, which may contribute to worse in-hospital outcomes described to pediatric farm injuries in prior research.

Objective: In high-risk agricultural environments, tasks, weather, and work conditions vary throughout the year. Also, injuries peak during certain periods. The primary objective of this study was to examine operator- and farm-level characteristics as risk factors for injuries within each of the four seasons. The secondary objective was to examine seasonal differences in the incident location and primary cause of these injuries.

Method: We analyzed data from the 2018 and 2020 Farm and Ranch Health and Safety Surveys (FRHSS), conducted in seven U.S. states by the Central States Center for Agricultural Safety and Health (CS-CASH), which were collected using a stratified random sampling approach to ensure representativeness. The survey data were merged with operation-level data from the Farm Market iD database. We employed Generalized Estimating Equations (GEE) to examine the association of seasonal injuries with individual and operation-level characteristics. The chi-square test of independence was used to assess the association between injury incident location and season, as well as injury cause and season. Pairwise Z-tests of proportions were conducted to evaluate the differences in the proportions of injuries due to specific combinations of injury location and cause across each pair of seasons.

Results: Surveys conducted in 2018 and 2020 yielded a combined response rate of 15.9%, with 5,428 responses and 7,915 unique operators. Of these, 903 operators reported at least one injury during the past 12 months. Seasonally, most injuries occurred in spring (34.2%), followed by summer (24.7%). Male operators had higher injury odds in the spring (adjusted OR = 1.42) and summer (aOR = 2.41). Those managing both a farm and a ranch reported increased injury risks in winter (aOR = 1.73) and spring (aOR = 1.48). Operators in cow-calf operations faced higher springtime injury risks (aOR = 1.45). High stress and exhaustion were consistent risk factors across all seasons. The highest proportion of injury incidents occurred in the farmyard (43.6%), and livestock were the most common cause of injury (24.9%).

Conclusion: Results highlight the need for season-specific prevention and intervention strategies, considering farmers' and ranchers' risk characteristics, injury locations, and causes. These findings can inform targeted measures for high-risk populations at optimal times and locations.

Objective: Measuring 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Objective: Despite generating huge employment opportunities and profitable business, fishing is considered a dangerous occupation due to challenging weather conditions and exposure to unhealthy occupational factors and lifestyles, which contribute to various health issues. However, few studies have examined the health status of shrimp cultivators. Consequently, this study aims to estimate the age group-wise burden of non-communicable diseases (NCDs) among shrimp cultivators.

Methods: Simple random sampling was employed for collecting data. The sample size was 357 shrimp cultivators. Disability-adjusted life years (DALY) and relative risk (RR) methods were used to measure the burden of NCDs among shrimp cultivators. This study reported the burden of NCDs per 100,000 shrimp cultivators.

Results: The top five prevalence of NCDs per 100,000 shrimp cultivators were mental disorders (85,434), musculoskeletal diseases (26,325), digestive diseases (9,803), diabetes (5,882), and cardiovascular diseases (4,481). DALY per 100,000 shrimp cultivators was 33,407.59, while at the national level, it was 24,775.99 per 100,000 people across all age groups. The RR of NCDs among shrimp cultivators in terms of DALY was 1.35, indicating a 0.35 times higher burden of NCDs among shrimp cultivators than at the national level. The largest RR of NCDs was found among shrimp cultivators aged 15-49 years (1.85), followed by 50-69 years (1.09). The highest percentage changes in the burden of NCDs among shrimp cultivators, resulting from changes in the methods of estimating DALY, was observed in the age group of 70 years and above (-48.36%) followed by 15-49 years (-46.08%) and 50-69 years (-40.33%) when compared to the baseline method of estimating DALY without utilizing age weightage and discount rate.

Conclusions: Focus should be given to improving the lifestyle and occupational factors of shrimp cultivators to mitigate the burden of NCDs.