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The Women Farmer Stress Inventory: Examining women farmer stress in the United States Corn Belt
Journal article   Open access   Peer reviewed

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

Carly E. Nichols and Jonathan Davis
The Journal of rural health, Vol.40(3), pp.457-466
Summer 2024
DOI: 10.1111/jrh.12808
PMID: 37962323
url
https://doi.org/10.1111/jrh.12808View
Published (Version of record) Open Access

Abstract

Abstract 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.
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