Silva Junior Sérgio Henrique Almeida da, Santos Simone M, Coeli Cláudia Medina, Carvalho Marilia Sá
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Instituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Brasil.
Cad Saude Publica. 2015 Nov;31(11):2259-74. doi: 10.1590/0102-311X00133814.
The proportion of non-participation in cohort studies, if associated with both the exposure and the probability of occurrence of the event, can introduce bias in the estimates of interest. The aim of this study is to evaluate the impact of participation and its characteristics in longitudinal studies. A systematic review (MEDLINE, Scopus and Web of Science) for articles describing the proportion of participation in the baseline of cohort studies was performed. Among the 2,964 initially identified, 50 were selected. The average proportion of participation was 64.7%. Using a meta-regression model with mixed effects, only age, year of baseline contact and study region (borderline) were associated with participation. Considering the decrease in participation in recent years, and the cost of cohort studies, it is essential to gather information to assess the potential for non-participation, before committing resources. Finally, journals should require the presentation of this information in the papers.
队列研究中的不参与比例，如果与暴露因素和事件发生概率都相关，可能会在感兴趣的估计中引入偏差。本研究的目的是评估参与情况及其特征在纵向研究中的影响。我们对描述队列研究基线参与比例的文章进行了系统综述（检索MEDLINE、Scopus和Web of Science）。在最初识别出的2964篇文章中，选取了50篇。参与的平均比例为64.7%。使用具有混合效应的元回归模型，只有年龄、基线接触年份和研究区域（临界值）与参与情况相关。考虑到近年来参与率的下降以及队列研究的成本，在投入资源之前收集信息以评估不参与的可能性至关重要。最后，期刊应要求在论文中呈现这些信息。
