Farm work exposure of older male farmers in Saskatchewan

Towards a Better Understanding of Farm Fatalities: Identification and Estimation of Farming Fatality Rates

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Working hours, sleep, and fatigue in the agriculture, forestry, and fishing sector: A scoping review

INTRODUCTION

Agriculture, forestry, and fishing industry (AgFF) workers often work extremely long hours during peak production seasons, resulting in sleep deprivation and fatigue. The National Occupational Research Agenda has classified fatigue as a "significant safety issue" and area of concern for many industry sectors, including AgFF. This review explores current research and practice in AgFF and proposes next steps.

METHODS

We conducted a scoping literature review to examine the extent and nature of research in this area. Article inclusion criteria included peer-reviewed journal articles written in English; published after 1989; covering AgFF workers in high-income countries; with data on working hours/schedules and sleep related to safety and health.

RESULTS

Limited research has addressed long hours and sleep deprivation among AgFF workers. We identified 8350 articles for title and abstract review. Among those, 407 underwent full-text review and 96 met all inclusion criteria (67% agriculture, 25% fishing/seafood processing, 8% forestry). The literature provided some evidence fatigue contributes to fatalities, injuries, and illnesses in AgFF. Older, new, young, foreign-born, and female workers, as well as those who work in small organizations or longer hours (40+) may be at higher risk for fatigue-related injury and illness. Few studies have developed or evaluated interventions to control risks.

DISCUSSION

Given that fatigue is a factor in injury and illness for this sector, future AgFF surveillance and research should increase efforts to capture fatigue and sleep data, directly investigate the role of long hours and nonstandard work schedules in the sector, and most importantly, create practical interventions to manage fatigue.

Determinants of injury among older Saskatchewan farm operators: A prospective cohort study

SIGNIFICANCE

The agricultural industry differs from other businesses in the composition of its workforce. Often farm owner-operators work beyond what society would expect to be a normal retirement age. Older farmers may be less receptive to behavioral changes designed to improve worksite safety and are at increased risk for experiencing a work-related injury. We had a unique opportunity to evaluate the relative influence of specific occupational conditions and practices reported by older farm operators (age ≥55 years) on the occurrence of injury using a longitudinal approach.

MATERIALS AND METHODS

Baseline data were provided by eligible and consenting farm members in the first quarter of 2013. These farms were then followed longitudinally by mail surveys over 24 months to document injury experiences. For each survey, mailed questionnaires were sent to participating farms and completed by a single respondent. Cox proportional hazard models were used to determine which characteristics of the farm work environment were protective.

RESULTS

A total of 96 farm injuries were reported by 73 of 566 farm operators. Medium (hazard ratio [HR] = 0.58; confidence interval [CI], 0.35-0.96) or high (HR = 0.53; CI, 0.30-0.94) worksite physical safety and high economic security (HR = 0.41; CI, 0.24-0.71) were protective in reducing injury among older farmers.

CONCLUSION

Safety features in the physical environment and economic security are important protective factors for injury among older farmers. This supports injury prevention theory that suggests that engineering controls are superior to changes in work practices or the use of personal protective equipment in reducing injuries among older farmers.

Risk Factors for Low Back Disorders in Saskatchewan Farmers: Field-based Exposure Assessment to Build a Foundation for Epidemiological Studies

BACKGROUND

Studies of many geographical settings and agricultural commodities show that low back disorders are an important public health issue among farmers, who represent a special rural population. However, few studies have examined the impact of low back disorders on farmers' work or the strategies that they adopt to avoid associated pain and disability.

OBJECTIVE

This study protocol will investigate 3 issues related to low back disorders in Saskatchewan farmers: (1) the vibration, heavy lifting, and awkward postures farmers encounter during their work that might contribute to low back disorders; (2) the impact low back disorders have on farmers in terms of their ability to work; and (3) the types of preventative measures and solutions that farmers implement to reduce the occurrence of low back pain.

METHODS

To answer these questions, researchers will travel to 30 farms to make measurements of vibration, lifting, and posture during the farmers' regular work tasks. Farmers will be interviewed about any pain and/or disability using standardized interview questions. Farmers will also be asked about safety measures they have implemented at their farm, such as modified tools or equipment, to reduce the occurrence of low back disorders or pain.

RESULTS

Data collection is currently underway for this study, with the intention to complete all data collection and analysis by the end of 2018.

CONCLUSIONS

Occupational determinants of health such as vibration, heavy lifting, and awkward postures are important in the development and progression of low back disorders, and the results of this study will allow for cost-effective epidemiological studies of these determinants in the future. In identifying prevention strategies, this study will also facilitate future research evaluating the effectiveness of safety measures.

Loud snoring is a risk factor for occupational injury in farmers

BACKGROUND

Loud snoring is a common symptom in the general population. The evidence-based literature indicates that snoring may be associated with sleep fragmentation and sleep apnea, which may affect cognitive function and predispose to occupational injury. High rates of occupational injury occur on farms and may be related to personal and health factors. Thus, loud snoring may not be a trivial symptom and should be considered as important in medical assessments.

METHODS

A prospective cohort study was conducted in Saskatchewan. Baseline questionnaires were completed for 5502 individuals by representatives from 2390 farms. Sleep patterns at baseline were categorized as the following: no reported sleep disorders; physician-diagnosed sleep apnea (treatment unknown); and loud snoring. Survival analyses were used to relate sleep patterns with subsequent injury.

RESULTS

A total of 6.7% (369 of 5502) of participants reported a possible sleep disorder. Of these, 69.4% (256 of 369) reported loud snoring only. Loud snoring was only associated with a consistent increase in risk (eg, HR 1.45 [95 CI 1.07 to 1.99 for work-related injury]) for five farm injury outcomes. Relationships between physician-diagnosed sleep apnea and time to first injury were not significant, presumably because a diagnosis of sleep apnea implied treatment for sleep apnea.

DISCUSSION

Sleep disorders are an important potential risk factor for occupational injury on farms. Substantial proportions of farm residents report loud snoring and this is related to subsequent injury. Some of these cases may represent sleep fragmentation or undiagnosed obstructive sleep apnea. Identification and clinical management of sleep disorders related to snoring should be part of health assessments conducted by physicians.