Factors influencing participation rate in a baseline survey of a genetic cohort in Japan.

Factors influencing participation rate in a baseline survey of a genetic cohort in Japan.
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DOI:
10.2188/jea.je20090062
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发表时间:
2010
影响因子:
4.7
通讯作者:
Tanaka K
Tanaka K
中科院分区:
医学3区
文献类型:
--
作者:
Hara M;Higaki Y;Imaizumi T;Taguchi N;Nakamura K;Nanri H;Sakamoto T;Horita M;Shinchi K;Tanaka K

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虽然许多研究审查了影响邮寄问卷答复的因素,但很少有研究涉及涉及遗传分析的队列研究的基线招募。本研究的目的是描述用于基线调查的方法,日本多机构协作队列研究(J-MICC研究),在佐贺县,并检查可能影响参与者招募的因素。Saga J-MICC研究是一项正在进行的基于人群的前瞻性队列研究,旨在研究与生活方式相关疾病相关的遗传和环境相互作用。从2005年到2007年,共有61 447名年龄在40岁到69岁之间的居民通过邮件被邀请参与这项研究。调查日期和时间由电话安排。其中31 002人(50.5%)回应,12 078人(19.7%)同意参与。收集所有参与者的完整问卷、血压和人体测量数据;血液、DNA样本和加速度计测量数据均来自绝大多数人。女性性别和年龄越大,参与率越高。此外,调查地点的便利性和提醒的发送显著提高了参与率(优势比,1.3)。我们的研究结果表明,尽可能方便地设置调查地点和发送提醒都可以大大提高基于人群的研究的参与率。
Although many studies have examined factors that influence the response to postal questionnaires, few have addressed baseline recruitment for cohort studies involving genetic analyses. The aim of this study was to describe the method used for a baseline survey, the Japan Multi-institutional Collaborative Cohort Study (J-MICC Study), in Saga Prefecture, and to examine the factors that might influence the recruitment of participants in such studies. The Saga J-MICC Study is an ongoing population-based prospective cohort study of the genetic and environmental interactions associated with lifestyle-related disease. From 2005 through 2007, a total of 61 447 residents between the ages of 40 and 69 were invited by mail to participate in this study. The survey date and time were arranged by telephone. Among that population, 31 002 (50.5%) responded and 12 078 (19.7%) agreed to participate. A completed questionnaire and blood pressure and anthropometric data were collected from all participants; blood, DNA specimens, and accelerometer measures were obtained from the great majority of them. Female sex and older age were associated with a higher participation rate. In addition, the convenience of the survey location and the sending of a reminder significantly improved the participation rate (odds ratio, 1.3). Our findings suggest that making the survey location as convenient as possible and sending a reminder can both substantially improve participation rate in population-based studies.
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