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Assessing the Factor Structure of the Farm/Ranch Stress Inventory in a Sample of LGBTQ+ Farmers Across the United States

Bibliographic Data

ID15479727
AuthorsMatthew Rivas‐koehl (0000-0002-9718-8358, University of Illinois Urbana-Champaign), Matthew Rivas-Koehl (Urbana University), Courtney Cuthbertson (0000-0002-6623-9781, Urbana University, corresponding author), Dane Rivas‐koehl (0000-0001-7452-0349, Urbana University), Anisa Codamon (0000-0001-5618-5241, Urbana University), Asa Billington (University of Vermont)
Year2025
Volume23
Issue1
Pages22-22
Publication date2025-12-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph23010022
PMID41595815
OpenAlexW7116884497
LanguageEN
References cited34

Farmers face disproportionately high levels of stress, which has implications for their mental health and well-being. Notably, existing measures of farm stress have not attended to variations in stress based on identity-related experiences. This study investigated the factor structure of the Farm/Ranch Stress Inventory (FRSI) among LGBTQ+ farmers in the United States to see whether the factors were consistent with previous studies. We surveyed the experiences of 148 LGBTQ+ farmers from across the U.S. and used principal components analysis to analyze the factor structure of the FRSI. A scree plot, parallel analysis, variance explained, and interpretability factors were considered to determine the best-fitting solution. Our analysis revealed a six-component structure: Family and Finances, Operational Challenges and Sustainability, Long-Term Farming Viability, Social and Safety Dynamics, Logistical Circumstances, and Cultural Isolation, which diverged from the original five-factor model of Finances, Government and External Stress, Work Stress, Operation Stress, and Isolation. This study highlights that measures of stress must consider the unique contexts that may shape the experiences of farm stress among diverse populations. The results suggest that future measures of farm stress used with LGBTQ+ farmers might consider cultural and social factors in particular to better understand their experiences of stress

Agriculture · Government (linguistics · Interpretability · Multiple correspondence analysis · Sample (material · Stress (linguistics · Variance (accounting · Work (physics · Agriculture and Farm Safety · Diverse Educational Innovations Studies · Rural development and sustainability

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