Chaney Beth H, Torres Essie
Department of Health Education & Promotion, 3105 Belk Building, East Carolina University, Greenville, NC 27858, USA.
Int J Environ Res Public Health. 2017 Jun 30;14(7):711. doi: 10.3390/ijerph14070711.
Many noted difficulties of farmworker life result in increased risk for stress and depression. To date, limited research has focused primarily on seasonal farmworkers; much of the prior research examines migrant farmworkers or both groups collectively. This study aims to: (1) describe levels of stress and depression among a sample of ; and (2) identify if covariates (age, gender, marital status, education level, years of residency, problems obtaining healthcare due to documentation, language barriers, transportation, costs, medical insurance, and stress level) are significant predictors of depressive symptoms. Survey data were collected from 150 Latino seasonal farmworkers. A hierarchical binary logistic regression was conducted to identify significant covariates. The results indicated that the only statistically significant covariates were health insurance coverage ( = 0.025) and stress ( = 0.008). Those farmworkers without health insurance were 1.8 times more likely than those with health insurance to possess depressive symptoms, while those demonstrating higher stress levels were over 7 times more likely to demonstrate symptoms of depression. The implications of the results are discussed in the manuscript.
农场工人生活中的许多显著困难导致压力和抑郁风险增加。迄今为止，有限的研究主要集中在季节性农场工人身上；之前的许多研究考察的是流动农场工人或这两类群体的总体情况。本研究旨在：（1）描述一组[此处原文缺失具体样本描述]的压力和抑郁水平；（2）确定协变量（年龄、性别、婚姻状况、教育水平、居住年限、因文件问题难以获得医疗保健、语言障碍、交通、费用、医疗保险和压力水平）是否为抑郁症状的显著预测因素。从150名拉丁裔季节性农场工人中收集了调查数据。进行了分层二元逻辑回归以确定显著的协变量。结果表明，唯一具有统计学意义的协变量是医疗保险覆盖情况（P = 0.025）和压力（P = 0.008）。没有医疗保险的农场工人出现抑郁症状的可能性是有医疗保险者的1.8倍，而压力水平较高的农场工人出现抑郁症状的可能性则超过7倍。手稿中讨论了结果的影响。
