Analysis reveals disparities in chronic disease rates linked to precarious employment conditions in farmworkers, highlighting the need for targeted biosocial data.
Background Precarious employment and labor exploitation in farmworkers is historical and pervasive in the United States. Methods We analyzed cross-sectional data from the National Agricultural Worker Survey (1999–2020, NAWS) among 46,910 farmworkers. A multidimensional precarious employment score (PES) was developed using work indicators and cardiovascular risk factors and cardiovascular disease (CVD). Analysis included: (1) Poisson regression model with LASSO for key predictor selection across three health outcomes; (2) PES construction to track employment conditions over time; and (3) subgroups analyses to assess disparities and trends in employment precarity. Results Women showed no reduction in PES over time. Indigenous farmworkers [mean ( M ) = 0.52, 95% CI: 0.50 to 0.53; difference from reference (δ M ) = 0.07, 95% CI: 0.05 to 0.08] and those working with labor contractors ( M = 0.5, 95% CI: 0.48 to 0.52; δ M = 0.05, 95% CI: 0.04 to 0.07) showed a consistently higher PES, but their declines [Indigenous: change (Δ M ) = −0.05, 95% CI: −0.09 to 0; labor contractors: Δ M = −0.08, 95% CI: −0.12 to −0.05) were smaller. Conclusions Within this precarious workforce there were differences in PES and chronic disease. Biosocial data is needed to better understand the pathways of how precarious employment impacts the health of this workforce.
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Iglesias-Ríos et al. (2025) studied this question.
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