Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina 27709, USA.
Am J Ind Med. 2010 May;53(5):486-96. doi: 10.1002/ajim.20789.
We investigated the potential for selection bias due to non-participation in the follow-up of a large prospective cohort study.
Licensed pesticide applicators (52,395 private; 4,916 commercial) in the Agricultural Health Study provided demographic, health, and pesticide exposure information at enrollment (1993-1997) and in a 5-year follow-up telephone interview. Factors associated with non-participation in the follow-up were identified using multiple logistic regression. Potential for selection bias was evaluated by comparing exposure-disease associations between the entire cohort and the follow-up subset.
Sixty-six percent of private and 60% of commercial applicators completed the follow-up interview. Private and commercial applicators who did not complete the follow-up reported at enrollment younger age, less education, lower body mass index, poorer health behaviors but fewer health conditions, and lower pesticide use. Estimates of exposure-disease associations calculated with and without non-participants did not indicate strong selection bias.
Differences between non-participants and participants in the follow-up interview were generally small, and we did not find significant evidence of selection bias. However, the extent of bias may depend on the specific exposure and outcome under study.
我们研究了由于未参与大型前瞻性队列研究的随访而导致选择偏差的可能性。
农业健康研究中的持牌农药施用者(52395 名私人;4916 名商业)在入组(1993-1997 年)和 5 年随访电话访谈中提供了人口统计学、健康和农药暴露信息。使用多因素逻辑回归确定与随访不参与相关的因素。通过比较整个队列和随访子集中的暴露-疾病关联来评估选择偏差的可能性。
66%的私人和 60%的商业施用者完成了随访访谈。未完成随访的私人和商业施用者在入组时报告年龄较小、教育程度较低、体重指数较低、健康行为较差但健康状况较少,以及农药使用较少。使用和不使用非参与者计算的暴露-疾病关联估计值并未表明存在明显的选择偏差。
随访访谈中未参与者和参与者之间的差异通常较小,我们没有发现选择偏差的显著证据。但是,偏差的程度可能取决于具体的暴露和研究的结果。