Determinants of agricultural injury: a novel application of population health theory.

OBJECTIVES: (1) To apply novel population health theory to the modelling of injury experiences in one particular research context. (2) To enhance understanding of the conditions and practices that lead to farm injury. DESIGN: Prospective, cohort study conducted over 2 years (2007-09). SETTING: 50 rural municipalities in the Province of Saskatchewan, Canada. SUBJECTS: 5038 participants from 2169 Saskatchewan farms, contributing 10,092 person-years of follow-up. MAIN MEASURES: Individual exposure: self-reported times involved in farm work. Contextual factors: scaled measures describe socioeconomic, physical, and cultural farm environments. OUTCOME: time to first self-reported farm injury. RESULTS: 450 farm injuries were reported for 370 individuals on 338 farms over 2 years of follow-up. Times involved in farm work were strongly and consistently related to time to first injury event, with strong monotonic increases in risk observed between none, part-time, and full-time work hour categories. Relationships between farm work hours and time to first injury were not modified by the contextual factors. Respondents reporting high versus low levels of physical farm hazards at baseline experienced increased risks for farm injury on follow-up (HR 1.54; 95% CI 1.16 to 1.47). CONCLUSIONS: Based on study findings, firm conclusions cannot be drawn about the application of population health theory to the study of farm injury aetiology. Injury prevention efforts should continue to focus on: (1) sound occupational health and safety practices associated with long work hours; (2) physical risks and hazards on farms.

Farm work exposure of older male farmers in Saskatchewan.

BACKGROUND: The average age of farmers in North America is increasing each year. Research has determined that age and health status are both related to increased risk of injury. The purpose of this research was to determine the association of health and medication factors with exposure to farm work in older male farmers. METHODS: As part of a cohort study to study determinants of injury on Saskatchewan farms, 5,502 farm people associated with 2,386 Saskatchewan farms were surveyed by mail questionnaire during the winter of 2007. The primary dependent variable was average hours per week of farm work. Independent variables included illnesses, age, and medication use. RESULTS: The mean number of hours worked per week by farmers aged 55 years and older was 48. There was a significant relationship between age and hours worked with each year of age accounting for about 0.85 hr less work per week. Medication use was related to a reduction in weekly work hours during the busy fall season but was not related to work exposure averaged over the whole year. In multivariable linear regression analysis, the main contributing variables to farm work exposure were: retired status (-), working off farm (-), and age (-). CONCLUSION: The amount of hours older farmers work on the farm is considerable compared to any other occupational category. While there is a declining trend in the amount of work, a 75-year-old farmer still works, on average, about 34 hr per week. Some farmers do appear to self-limit during busy times of the year if they are taking medication.

Relationship between sleep loss and economic worry among farmers: a survery of 94 active saskatchewan noncorporate farms.

Farm work involves seasonal peak busy periods with long hours of work and potential sleep loss. Social, technological, and economic changes, and depressed commodity prices, have resulted in financial stress. There may be a relationship between sleep loss and worry about economic conditions. The objective of this study was to examine the association between hours of sleep and worry associated with cash flow shortages and worry associated with debt among a population of farmers and their family members. One hundred and ninety-five persons from 94 active farms in two rural municipalities in west central Saskatchewan were interviewed by questionnaire. Logistic regression analyses were used to quantify associations between sleep patterns and economic concerns during peak seasons and nonpeak seasons. During peak agricultural seasons, 31.6% of owners/operators reported less than 6 hours of sleep per night compared to 6.3% during the nonpeak seasons (p< .01). A significant relationship (odds ration [OR] 3.59, confidence interval [Cl] 1.58-8.13) was observed between daily cash flow worry and impaired sleep during peak busy seasons. A large proportion of farmers surveyed suffered sleep deprivation during peak seasons, and this sleep loss appeared related to worries about cash flow that were not observed during nonpeak seasons. It is possible that sleep loss during peak busy seasons may be related to impared judgment, as shown by differential worry habits, and might also be related to the high injury rates in farmers during peak busy seasons.