Missed Work Due to Occupational Illness among Hispanic Horse Workers.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Agricultural Safety and Health Pub Date : 2018-05-07 DOI:10.13031/jash.12735
Ashley M Bush, Susan Westneat, Steven R Browning, Jennifer Swanberg
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引用次数: 2

Abstract

Occupational illnesses are inadequately reported for agriculture, an industry dominated by a vulnerable Hispanic population and high fatal and nonfatal injury rates. Work-related illnesses can contribute to missed work, caused by a combination of personal and work factors, with costs to the individual, employer, and society. To better understand agricultural occupational illnesses, 225 Hispanic horse workers were interviewed via community-based convenience sampling. Descriptive statistics, bivariate analyses, and log binomial regression modeling were used to: (1) describe the prevalence of missed work due to work-related illnesses among Hispanic horse workers, (2) examine work-related and personal factors associated with missed work, and (3) identify health symptoms and work-related characteristics potentially associated with missed work. Key findings reveal that having at least one child (PR = 1.71, 95% CI = 1.03, 2.84), having poor self-reported general health (PR = 0.72, 95% CI = 0.48, 1.08), experiencing stress during a typical workday (PR = 2.58, 95% CI = 1.25, 5.32), or spending less time with horses (PR = 1.87, 95% CI = 1.15, 3.05) are significant predictors of missing work. Interventions can be designed to identify workers most susceptible to missing work and provide resources to reduce absenteeism. Future research should examine work-related illness in agricultural horse production, including personal and work-related factors, in order to diminish occupational health disparities among these workers, who are more likely to be employed in hazardous agricultural work.

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西班牙裔马工因职业病而缺勤。
农业是一个由脆弱的西班牙裔人口主导的行业,致命和非致命伤害率很高,职业病报告不足。与工作有关的疾病可能导致缺勤,这是由个人和工作因素共同造成的,给个人、雇主和社会带来成本。为了更好地了解农业职业病,采用社区方便抽样的方法对225名西班牙裔马工进行了访谈。使用描述性统计、双变量分析和对数二项回归模型:(1)描述西班牙裔马工因工作相关疾病而缺勤的流行情况,(2)检查与缺勤相关的工作相关和个人因素,以及(3)确定与缺勤可能相关的健康症状和工作相关特征。主要研究结果显示,至少有一个孩子(PR = 1.71, 95% CI = 1.03, 2.84),自我报告的总体健康状况不佳(PR = 0.72, 95% CI = 0.48, 1.08),在典型的工作日经历压力(PR = 2.58, 95% CI = 1.25, 5.32),或与马共度的时间较少(PR = 1.87, 95% CI = 1.15, 3.05)是缺勤的重要预测因素。可以设计干预措施,以确定最容易缺勤的工人,并提供资源以减少缺勤。未来的研究应检查农业马匹生产中与工作有关的疾病,包括个人和与工作有关的因素,以缩小这些工人之间的职业健康差距,他们更有可能从事危险的农业工作。
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来源期刊
Journal of Agricultural Safety and Health
Journal of Agricultural Safety and Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.50
自引率
20.00%
发文量
10
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