Health problems were the strongest predictors of attrition during follow-up of the GAZEL cohort

Health problems were the strongest predictors of attrition during follow-up of the GAZEL cohort
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DOI:
10.1016/j.jclinepi.2006.02.020
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发表时间:
2006-11-01
影响因子:
7.2
通讯作者:
Leclerc, Annette
Leclerc, Annette
中科院分区:
医学2区
文献类型:
--
作者:
Goldberg, Marcel;Chastang, Jean Francois;Leclerc, Annette

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背景和目标:本研究探讨了社会经济,生活方式和健康因素与响应年度邮件问卷调查的纵向研究,从1990年至2000年在法国GAZEL cohol.Methods:2624名参与者自愿在1989年,每年收到一份问卷。作为回应一个给定的一年是不独立的回应,在其他年份,混合模型被用来分析与response.Results相关的变量:较高的响应率与性别(男性),年龄(老年人),管理地位,退休。基线时吸烟和饮酒与较低的参与率相关。至少有三次病假的受试者不太可能做出反应,特别是男性中因精神病和酒精相关疾病而缺席的受试者。那些在基线时认为自己健康状况不好的人在随访期间不太容易做出反应。ATTALITY在随后的问卷调查中与癌症的诊断和冠心病发作的manes.Conclusion:大多数的变量,预测最初的参与也与继续参与随访。健康问题强烈预测自然减员,而社会经济因素发挥了较弱的作用。退出是一种可逆的状态,只考虑一次不参与可能会产生误导。(C)2006年爱思唯尔公司All rights reserved.
Background and Objectives: This study examined socioeconomic, lifestyle, and health factors associated with response to annual mail questionnaires in a longitudinal study from 1990 through 2000 within the French GAZEL cohort.Methods: Twenty thousand six hundred twenty-four participants volunteered in 1989, and received each year a questionnaire. As responding one given year was not independent of responding in other years, mixed models were used to analyze the variables associated with response.Results: Higher response rates were associated with gender (male), age (older), managerial status, and retirement. Smoking and alcohol drinking at baseline were associated with lower participation. Subjects who had at least three sick leaves were less likely to respond, especially for absence for psychiatric and alcohol-related diseases among men. Those who had rated their health as bad at baseline were less prone to respond during the follow-up. Attrition in subsequent response to questionnaires was associated with cancer diagnosis and with episodes of coronary heart disease for men.Conclusion: Most of the variables that predicted initial participation were also associated with continued participation during follow-up. Health problems strongly predicted attrition, whereas socioeconomic factors played a weaker role. Withdrawing is a reversible state and considering only one episode of nonparticipation could be misleading. (C) 2006 Elsevier Inc. All rights reserved.