Weather, Workload and Money: Determining and Evaluating Sources of Stress for Farmers in Ireland

Exploring longitudinal associations between farmer health and well-being and dairy herd subclinical mastitis prevalence and productivity: The HUNT Study, Norway

The health and well-being of farmers is one aspect of the sustainability of agriculture, as is the health and productivity of livestock. Previous research suggests a possible association between the two, but the complexity of the relationships between farmers and their livestock can hamper research efforts. This observational study uses high quality existing survey and register data from a cohort of Norwegian dairy enterprises to explore possible longitudinal associations between farmer health and well-being (general health, chronic disease or condition, chronic pain, anxiety or depression symptoms, or poor life satisfaction) and changes in dairy herd udder health (estimated by the proportion of milk tests with a high somatic cell count [SCC%]) or milk yield (kg/cow-year Eq). We found evidence of a general trend toward increased SCC% with poor farmer health or well-being. If the farmer had poor self-reported general health, the odds ratio (OR) for a 1-yr increase in SCC% at the enterprise was 1.51 (95% CI: 0.76, 2.99) and 1.80 (0.71, 4.51) after adjustment for possible effect modifiers, compared with those with good health, and for poor life satisfaction the OR was 1.50 (0.71, 3.15) and 2.61 (0.92, 7.39) after adjustment. We also find evidence that enterprises where a farmer was experiencing poor health or well-being tended to have lower odds of a decrease in milk yield than other enterprises. The OR for a 1-yr decrease in milk yield with any chronic disease or condition was 0.42 (0.24, 0.76), and with symptoms of anxiety or depression the OR was 0.56 (0.23, 1.34). Potential confounders and effect modifiers are discussed and explored. These results suggest that further longitudinal research to unravel the relationships between farmer health and well-being, and livestock health and productivity is needed.

Sowing seeds of awareness: a cross-sectional analysis of mental health literacy and help-seeking in Irish farmers

BACKGROUND

Farmers around the world are at risk of depression, anxiety, and suicidal ideation yet many avoid seeking help. In Ireland, farmers' mental health is a national concern, as farmers face barriers of masculine norms around help-seeking. This study aimed to examine the prevalence and relationship between mental health literacy and mental health help-seeking in the Irish farming community. It also aimed to identify if mental health literacy or mental health help-seeking differed depending on gender, age, education, health status and income level.

METHODS

We conducted a cross-sectional assessment of 351 Irish farmers' mental health literacy and help-seeking using validated psychometric measures: the Mental Help Seeking Intention Scale (MHSIS), the Attitudes Toward Seeking Professional Psychological Help Short Form (ATSPPH-SF), and the Multicomponent Mental Health Literacy Measure (MMHL).

RESULTS

Irish farmers' mental health literacy and help-seeking scores were interrelated. Though low, farmers' scores were comparable to the general population and higher than some European samples. Despite broadly favourable attitudes towards seeking professional mental health help, Irish farmers perceived significant barriers to accessing care and exhibited stoic health attitudes. Farmers with less education and men were particularly at risk.

CONCLUSION

Irish farmers' stoic attitudes may be a response to their perceived lack of services. Interventions providing mental health literacy education and improving access to existing mental health services are particularly important for this population of farmers.

A Living Lab approach to understanding dairy farmers' technology and data needs to improve herd health: Focus groups from 6 European countries

For successful development and adoption of technology on dairy farms, farmers need to be included in the innovation process. However, the design of agricultural technologies usually takes a top-down approach with little involvement of end-users at the early stages. Living Labs offer a methodology that involve end-users throughout the development process and emphasize the importance of understanding users' needs. Currently, exploration of dairy farmers' technology needs has been limited to specific types of technology (e.g., smartphone apps) and adult cattle. The aim of this study was to use a Living Lab approach to identify dairy farmers' data and technology needs to improve herd health and inform innovation development. We conducted 18 focus groups with a total of 80 dairy farmers from Belgium, Ireland, the Netherlands, Norway, Sweden, and the United Kingdom. Data were analyzed using Template Analysis, and 6 themes were generated representing the fundamental needs of autonomy, comfort, competence, community and relatedness, purpose, and security. Farmers favored technologies that provided them with convenience, facilitated their knowledge and understanding of problems on farm, and allowed them to be self-reliant. Issues with data sharing and accessibility and usability of software were barriers to technology use. Furthermore, farmers were facing problems around recruitment and management of labor and needed ways to reduce stress. Controlling aspects of the barn environment, such as air quality, hygiene, and stocking density, were particular concerns in relation to youngstock management. Overall, the findings suggest that developers of farm technologies may want to include farmers in the design process to ensure a positive user experience and improve accessibility. The needs identified in this study can be used as a framework when designing farm technologies to strengthen need satisfaction and reduce any potential harm toward needs.

Qualitative Analysis Following the Delivery of a Farmer Lifestyle Program

BACKGROUND

Irish farmers are adversely affected by noncommunicable diseases. Although there has been an increase in farmer health promotion activities in Ireland, farmers views on lifestyle programs are currently unknown.

OBJECTIVES

To qualitatively analyze the impact of the previously mentioned 6-week physical activity and health education intervention on farmer health and to investigate how best to support this cohort moving forward.

METHODS

A qualitative study was conducted online (two interviews, three focus groups) with fourteen Irish farmers (53.5 ± 6.5 years) who completed the 6-week program in December 2019. Interviews and focus groups were recorded, transcribed, and analyzed for themes.

RESULTS

The main themes that emerged from this study were barriers, facilitators, and recommendations for lifestyle programs aimed to improve farmer health. Additional views on health and lifestyle behaviors were mentioned. Time of year was reported as the main barrier for farmers to engage in lifestyle programs. The key facilitators reported by farmers were the social health benefits obtained from the program and the farmer-specific nature of the program. Farmers suggested that physical activity and health education programs that are farmer-specific, delivered locally and catering for all fitness abilities should be more widely available to them. Although some farmers reported that they maintained the lifestyle behaviors they established during the initial 6-week program, follow-up supports are needed to encourage sustainable behavior change.

CONCLUSIONS

Interventions that are farmer-specific, community-based, and feasible within the context of available resources may be effective in improving farmer health. Working in partnership with organizations that support farmers has the potential to improve farmer health.

The Women Farmer Stress Inventory: Examining women farmer stress in the United States Corn Belt

PURPOSE

While women identifying as primary farmers have increased in the United States, there has not been research focused on the antecedents of stress and quality of life among women farmers in particular. This study set out to construct a Women Farmer Stress Inventory (WFSI), test its dimensionality, and assess its criterion-related validity by looking at its relationship with subjective wellbeing as measured by the Satisfaction with Life Scale (SWLS). We then examined sociodemographic and farm-level correlates to assess their relationship with stress.

METHODS

We utilized responses from a random sample of 592 Iowan women farmers who responded to a mailout survey that included the WFSI. We conducted exploratory factor analysis to identify the factorial structure of the WFSI, and used linear regression to evaluate how sociodemographic and farm-level characteristics were related to each factor.

RESULTS

The analysis revealed 5 unique factors that reflected different aspects of women farmer stress: time pressures and workload, environmental concern, external stressors from governments and market, interpersonal relationships, and rural amenities. All factors except rural amenities had high levels of internal consistency (Cronbach's alpha >0.80) and were validated using the external criteria of SWLS measures. Young age, being married, and engagement in off-farm work, and smaller farm size were associated with greater levels of stress across most domains.

CONCLUSION

The WFSI is a promising tool that shows high internal consistency and is validated with life satisfaction. Our study also finds certain sociodemographic and farm characteristics associated with different stress domains, which could inform both future research and community-based interventions.

Survey of farm, parlour and milking management, parlour technologies, SCC control strategies and farmer demographics on Irish dairy farms

BACKGROUND

This cross-sectional study describes a survey designed to fill knowledge gaps regarding farm management practices, parlour management practices and implemented technologies, milking management practices, somatic cell count (SCC) control strategies, farmer demographics and attitudes around SCC management on a sample of Irish dairy farms.

RESULTS

We categorized 376 complete responses by herd size quartile and calving pattern. The average respondent herd was 131 cows with most (82.2%) operating a seasonal calving system. The median monthly bulk tank somatic cell count for seasonal calving systems was 137,000 cells/ml (range 20,000 - 1,269,000 cells/ml), 170,000 cells/ml for split-calving systems (range 46,000 - 644,000 cells/ml) and 186,000 cells/ml for 'other' herds (range 20,000 - 664,000 cells/ml). The most common parlour types were swing-over herringbones (59.1%) and herringbones with recording jars (22.2%). The average number of units across herringbone parlours was 15, 49 in rotary parlours and two boxes on automatic milking system (AMS) farms. The most common parlour technologies were in-parlour feeding systems (84.5%), automatic washers on the bulk tank (72.8%), automatic cluster removers (57.9%), and entrance or exit gates controlled from the parlour pit (52.2%). Veterinary professionals, farming colleagues and processor milk quality advisors were the most commonly utilised sources of advice for SCC management (by 76.9%, 50.0% and 39.2% of respondents respectively).

CONCLUSIONS

In this study, we successfully utilised a national survey to quantify farm management practices, parlour management practices and technology adoption levels, milking management practices, SCC control strategies and farmer demographics on 376 dairy farms in the Republic of Ireland. Rotary and AMS parlours had the most parlour technologies of any parlour type. Technology add-ons were generally less prevalent on farms with smaller herds. Despite finding areas for improvement with regard to frequency of liner changes, glove-wearing practices and engagement with bacteriology of milk samples, we also found evidence of high levels of documentation of mastitis treatments and high use of post-milking teat disinfection. We discovered that Irish dairy farmers are relatively content in their careers but face pressures regarding changes to the legislation around prudent antimicrobial use in their herds.

What Do Farmers Need for Suicide Prevention: Considerations for a Hard-to-Reach Population

Purpose

Farmers have suicide rates much higher than the general population, with elevated mental health symptoms and high stress levels. Farmers are a hard-to-reach population due to occupational demands and a culture where conversations about mental health are often stigmatizing. This study explored ways to tailor suicide prevention strategies to unique characteristics of farmers by speaking with groups close to farmers who were open to discussing stress and suicide prevention: women married to farmers and agricultural Extension agents.

Methods

Focus groups with women married to farmers (N=29) and interviews with agricultural agents from the university's local Cooperative Extension offices (N=13) from rural Georgia counties explored effective ways outreach and education about suicide prevention, mental health, and coping could be provided to farmers. Using a thematic analysis approach, qualitative coding was completed by two researchers (Cohens kappa=0.86), with initial codes collapsed into common themes.

Results

Four themes were identified: 1) Barriers due to the nature of farming, including time demands of farming and cultural stigma in help-seeking; 2) Acceptable messaging, including framing conversations as part of general health; 3) Make information accessible by making it brief, clear, and omnipresent through multiple media; and 4) Elements of effective information and education, including emphasizing "you're not alone" and connection, how to access supports and crisis services, educating people close to farmers, and motivating farmers by emphasizing that they could help another farmer with the information.

Conclusion

Due to farmers' stoic identities and reluctance to admit mental health struggles, speaking with those close to farmers may help us better understand what is needed to tailor farmer suicide prevention strategies. The insights shared by participants suggest that culturally responsive outreach and education strategies, strengthening relationships through peer support, and gatekeeper training with specific trusted others are important ways to tailor suicide prevention strategies for this hard-to-reach group.

Mental Health Disorders among Thai Farmers: Occupational and Non-Occupational Stressors

This cross-sectional study aimed to identify occupational and non-occupational factors that impact levels of stress, depression, and anxiety among farmers located in the northern part of Thailand, including the potential psychological impacts of pesticide use. The participants (N=270) were interviewed with a survey adopted and modified from peer-reviewed articles and questionnaires. The survey consists of four parts, including demographic information and pesticide exposure; perceived farm stressors employing Farm Stressor Survey (FSS); mental health disorder utilizing Srithanya Stress Scale (ST5), Nine-Questions Depression- Rating Scale (9Q), and Depression Anxiety Stress Scale 21 (DASS21); in addition to COVID-related stress utilizing COVID Stress Scale (CSS). The participants were categorized into two groups i.e., Spray and No Spray based on their self-reported occupational use of pesticide spraying within the past year. No significant associations were observed between occupational pesticide exposures and mental health disorder scores. Being female, having a second job besides a farmer, having applied pesticides for greater than 20 years, and having a higher farm stressor perception showed a significant positive association with self-reported mental health disorders; while having a good agricultural practice and PPE use showed a significant negative association with those outcomes. This pilot study scrutinized expanded sources of stress in farm work and provided information for the development of more effective mental disorder intervention programs for Thai farmers.

Disordered alcohol and substance use in Irish farmers: A cross-sectional survey

PURPOSE

Farming is a high-pressure occupation. Populations of farmers face significant health risks, including injury, mental illness, and in some cases, heavy alcohol use. However, there is little research on farmers' use of substances beyond alcohol. This study examines factors relating to Irish farmers' disordered alcohol and substance use.

METHODS

In accordance with STROBE guidelines for cross-sectional research and reporting, we examined disordered alcohol and substance use in 351 Irish farmers using the Alcohol Use Disorders Identification Tool (AUDIT) and Drug Use Disorders Identification Tool (DUDIT).

FINDINGS

While 28% of farmers did not drink, 40% of those who did drink exceeded the AUDIT threshold for disordered use. Similarly, while 95% of farmers did not use substances, 78% of farmers who did use substances exceeded the DUDIT threshold for disordered use. Age was the most important risk factor for disordered alcohol and substance use and correlated with other main risk factors: lower income, no children, part-time farmer, and full-time off-farm roles. Disordered drinking was highest in farmers engaged in full-time education.

CONCLUSIONS

This population of Irish farmers report broadly healthy alcohol and substance use behaviors. Irish farmers may serve as a model group whose strengths can be utilized in interventions within and beyond the Irish farming community. Our results confirm the importance of analyzing demographic factors in farmers' drinking and identify younger farmers as especially at-risk for harmful alcohol and substance use.

Injury, Musculoskeletal Symptoms, and Stress as a Function of Aging in Agricultural Operators in the Central United States

BACKGROUND

Studies show conflicting evidence on the association of age and occupational injury in agriculture, and few studies have addressed the effect of age on work-related chronic conditions or preventive practices among farmers.

METHODS

We examined the probability of injury, work-related stress, musculoskeletal symptoms (MSS), and preventive practices for MSS as a function of aging using surveillance data of 7,711 farm and ranch operators in the central United States.

FINDINGS

Segmented regression analyses of men (85% of sample) indicated that the probability of all four outcomes increased up to a certain age and then decreased; the changepoints in years of age being 59.6 for injury, 55.4 for work-related stress, 59.6 for MSS, and 67.9 for MSS preventive practices. Female operators had an increasing trend for stress up to age 29.7, while they showed no changepoints across their age spectrum in the proportion of injury, MSS, and prevention techniques.

CONCLUSION/APPLICATION TO PRACTICE

These findings emphasize the need for preventive efforts particularly among younger and middle-aged farmers and ranchers, and the need to modify work duties to match work abilities at older ages.

Longitudinal measures of labour time-use on pasture-based dairy farms, incorporating the impact of specific facilities and technologies

The seasonal workload on pasture-based dairy farms, combined with increased herd sizes, have led to an increased focus on farm labour time-use and techniques that can reduce farm labour demand. The objective of this study was to measure labour time-use over time on a sample of pasture-based dairy farms and examine the impact that specific facilities and technologies could have on labour demand in real farm situations. Fifty-seven farms completed two labour time-use studies in spring 2019 and 2021 (1st February to 30th April). Farm labour input was recorded on one day each week during the study period. Results showed that farm labour input increased by 3% (1 364 to 1 403 h) between spring 2019 and 2021 and farm labour efficiency improved by 7% (10.7 to 10.0 h/cow), while herd size increased by 10% (145 to 160 cows). Case study farms that made substantial changes to the milking and calf care facilities and practices (between 2019 and 2021) were selected to examine the impact of these changes on labour demand and efficiency. The four case study farms that implemented new milking parlours or added additional milking units improved their milking efficiency by 15% (2.89 to 2.45 h/cow per farm) and reduced milking labour input by 15% (402 to 342 h per farm). Seventeen farms made substantial calf care changes such as constructing a new calf shed, installing an automatic calf feeder, selling male calves and contract rearing heifer calves preweaning. These farms had on average 26 more cows per farm in 2021 than in 2019 (increasing from 137 to 163 cows), but calf care labour input declined by 5% (240 to 228 h per farm) and calf care labour efficiency improved by 16% (1.83 to 1.53 h/cow per farm). Of these farms, the largest improvement was observed on the eight farms that installed automatic calf feeders, where calf care labour efficiency improved by 23% (1.76 to 1.36 h/cow). Results of this study contribute to our understanding of labour use on pasture-based dairy farms and how it can change over time. The real-time on-farm case studies can reassure farmers of the positive benefits that the facilities and technologies outlined in this study can have on labour efficiency.

Well-being at work and Finnish dairy farmers─from job demands and loneliness towards burnout

OBJECTIVES

Novel information about the relationships between farmers' job demands, lack of resource, burnout, and ill health is reported based on testing the so-called "health impairment process" of the Job Demands─Resources Model (JD-R) on a representative sample of Finnish dairy farmers. The aim was to find out whether two different job demand factors; workload, societal demands and lack of resource; loneliness, were related to the indicators of ill health via burnout.

METHODS

The data is based on a postal survey of 400 Finnish dairy farms. Altogether 265 questionnaires were received from 188 farms and included in the analysis. The response rate was 47 per cent among sample farms. Structural equation modelling (SEM) was used to analyze the relationships between the variables. Explanatory factor analysis was used to group the job demand and lack of resource variables.

RESULTS

We identified two job demand factors, which we labelled workload and societal demands and one lacking job resource, loneliness. Our theoretical model was supported in that two of the factors, namely workload and loneliness, were related to ill health indirectly via burnout. In addition, workload was directly connected with ill health. Societal job demands were not significantly related to burnout, or to ill health.

CONCLUSION

Our results suggest that farmers could benefit from means to reduce workload, especially the physical load. This topic needs further research as the restructuring process has increased farm enterprise sizes. There is a need to develop tools and projects to alleviate loneliness among farmers. Lack of social support, high workload, ill health, and burnout among farmers may have serious direct and indirect negative consequences for the sustainability of farming.