使用kappa统计和对数线性模型比较主要和代理受访者报告的习惯性身体活动。

P Graham, R Jackson
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摘要

背景:许多流行病学研究部分依赖于代理举报人。关于身体活动的代理应答者报告的可靠性的公开资料很少。方法:在一项以社区为基础的冠心病病例对照研究中,来自参与者的代表性子样本的剧烈和中度身体活动的自我报告数据与从其近亲收集的信息进行比较。结果:相对于主要受访者,代理受访者在休闲和工作时间的活动中少报了大约10个百分点。在简单的三分制量表(不活动/适度活动/体育活动)中,70%的主要代理伴侣在休闲时间的活动方面完全一致,67%的伴侣在工作时间的活动方面完全一致。加权kappa统计量对应的值为0.66[95%可信区间(CI) 0.59 ~ 0.72]和0.62(0.54 ~ 0.72)。对数线性模型提供的证据表明,当代理人不是主要被调查者的配偶时,在工作时间活动方面的意见更一致。讨论:主要代理应答者对身体活动的总体同意程度似乎略低于有关吸烟和饮酒频率的报告。在试图获取有关工作时间体力活动的信息时,似乎没有什么理由更倾向于配偶代理。对数线性模型提供了一种有效的方法来探索观察者协议研究中的协变量效应。
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A comparison of primary and proxy respondent reports of habitual physical activity, using kappa statistics and log-linear models.

Background: Many epidemiological studies rely in part on proxy informants. There is little published information on the reliability of proxy-respondent reports of physical activity.

Methods: Self-reported data on vigorous and moderate physical activity, from a representative sub-sample of participants in a community-based case-control study of coronary heart disease, were compared with information collected from their next-of-kin.

Results: Relative to primary respondents, proxy respondents under-reported activity by approximately 10 percentage points, for both leisure and work-time activity. On a simple three point scale (inactivity/moderate activity/physical activity), 70% of primary-proxy pairs were in exact agreement with regard to leisure time activity and 67% of pairs were in exact agreement on work-time activity. The corresponding values for the weighted kappa statistic were 0.66 [95% confidence interval (CI) 0.59-0.72] and 0.62 (0.54-0.72). Log-linear modelling provided evidence for superior agreement on worktime activity when the proxy was not the primary respondent's spouse.

Discussion: Overall levels of primary-proxy respondent agreement on physical activity seem somewhat lower than has been reported for smoking and alcohol-drinking frequency. There seems little reason to prefer spouse proxies when endeavouring to elicit information on work-time physical activity. Log-linear modelling provides an efficient means of exploring covariate effects in observer-agreement studies.

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