Quandt Sara A, Preisser John S, Arcury Thomas A
Sara A. Quandt is professor, Section on Epidemiology, Department of Public Health Sciences, and adjunct professor of anthropology, Wake Forest University. John S. Preisser is research assistant professor, Department of Biostatistics, University of North Carolina at Chapel Hill. Thomas A. Arcury is associate professor and research director, Department of Family and Community Medicine, and adjunct associate professor of anthropology, Wake Forest University.
Hum Organ. 2002 Spring;61(1):21-29. doi: 10.17730/humo.61.1.7ndbyxnqd56vatd7.
Occupational health research often relies on longitudinal data to link exposures and health outcomes. Studies of migrant and seasonal farmworker health face special challenges. Farmworkers are difficult to track, and many occupational health outcomes require considerable time to develop. Using data from two longitudinal studies of farmworker health in North Carolina, we: 1) describe migration during one summer (amount, reasons, destinations); and 2) discuss the implications of these patterns for conducting different types of environmental and occupational health research. Approximately 30 percent of farmworkers migrated over the course of the summer. Analysis of specific work sites revealed both in- and out-migration. Work availability and work-related illness were major causes of out-migration. These data suggest that failing to document reasons for migration may result in underestimation of the occupational illnesses and injuries under study. If research on migrant farmworkers is to be used to establish worksite health and safety policies, traditional research designs and data analysis techniques must be adapted to the realities of worker migration.
职业健康研究通常依靠纵向数据来关联暴露因素与健康结果。对流动及季节性农场工人健康状况的研究面临特殊挑战。农场工人难以追踪,而且许多职业健康结果需要相当长的时间才会显现。利用北卡罗来纳州两项关于农场工人健康的纵向研究数据,我们:1)描述了一个夏季期间的迁移情况(迁移数量、原因、目的地);2)讨论了这些模式对开展不同类型的环境与职业健康研究的影响。大约30%的农场工人在夏季期间迁移。对特定工作地点的分析揭示了迁入和迁出情况。工作机会和与工作相关的疾病是迁出的主要原因。这些数据表明,未能记录迁移原因可能导致对所研究的职业疾病和伤害的低估。如果要利用对流动农场工人的研究来制定工作场所健康与安全政策,就必须使传统的研究设计和数据分析技术适应工人迁移的实际情况。