ABSTRACT

Objectives: Migrant farmworkers face many hardships in both their working and living environments including dangerous and demanding tasks, long hours, and inadequate rest. This study sought to explore gender differences in the reporting of fatigue and pain and to identify predictors of fatigue and pain among migrant farmworkers in Nebraska (n = 241).

Methods: Bivariate tests were used to assess associations among study variables. Linear and generalized linear mixed effect models were used to assess gender as a predictor of fatigue and pain respectively while controlling for covariates.

Results: Females reported significantly higher levels of fatigue (M score = 15.5, SD = 6.1 compared to M score = 12.8, SD = 4.3) than their male counterparts. Females were also more likely to report pain (56.9% of females compared to 36.3% of males). Being female, pain, hours of sleep, and job demands were significant predictors of fatigue. Fatigue and job-related injury were the only significant predictors of pain.

Conclusions: There are gender-related disparities in the reporting of fatigue and pain among Latino/a migrant farmworkers. Extra precautions need to be taken to protect worker health and safety and reduce fatigue, particularly for female workers. Implications for employers, supervisors, and healthcare providers are discussed.

摘要

目标: 农民工在他们的工作和生活环境中面临着许多困难，包括危险和艰巨的任务、长时间的工作和不充分的休息。本研究旨在探讨疲劳和疼痛报告中的性别差异，并确定内布拉斯加州农民工 (n = 241) 疲劳和疼痛的预测因素。

方法：双变量检验用于评估研究变量之间的关联。在控制协变量的同时，使用线性和广义线性混合效应模型分别评估性别作为疲劳和疼痛的预测因子。

结果：女性报告的疲劳程度明显高于男性（M分数 = 15.5，SD  = 6.1，而M s核心 = 12.8，SD  = 4.3）。女性也更可能报告疼痛（女性为 56.9%，男性为 36.3%）。作为女性，疼痛、睡眠时间和工作要求是疲劳的重要预测因素。疲劳和工伤是疼痛的唯一重要预测因素。

结论：在报告拉丁裔/移民农场工人的疲劳和疼痛方面存在性别差异。需要采取额外的预防措施来保护工人的健康和安全并减少疲劳，尤其是女性工人。讨论了对雇主、主管和医疗保健提供者的影响。