Crawford Sybil L, Johannes Catherine B, Stellato Rebecca K
Department of Medicine, Division of Preventive and Behavioral Medicine, Epidemiology and Biostatistics Unit, University of Massachusetts Medical Center, Worcester, MA 01655, USA.
Am J Epidemiol. 2002 Oct 1;156(7):676-83. doi: 10.1093/aje/kwf059.
Estimated associations between self-reported age at menopause and health may be attenuated if self-report is inaccurate. In a cross-sectional study, it is not possible to assess validity or reproducibility. Instead, one can examine digit preference, e.g., overreporting of numbers ending in zero or five. Typically, analyses use equal proportions-10% probability for each digit-as the reference distribution. Depending on the age distribution of the sample and on the underlying distribution of age at the event, however, an alternative reference distribution may be more appropriate. As an illustration, the authors examined digit preference in the self-reported calendar year at the final menstrual period in cross-sectional data from 2,151 naturally postmenopausal women in the Study of Women's Health Across the Nation (1995-1997), a multisite, multiethnic study of women aged 40-55 years. With chi-square tests, the distribution of terminal digit for self-reported year at the final menstrual period was compared with several reference distributions. The observed distribution was much closer to a reference distribution based on previously published data than it was to equal proportions. Future assessments of digit preference in cross-sectional studies should consider alternatives to equal proportions, particularly for samples with small age ranges and events with a restricted underlying age distribution.
如果自我报告不准确,那么自我报告的绝经年龄与健康之间的估计关联可能会被削弱。在横断面研究中,无法评估有效性或可重复性。相反,可以检查数字偏好,例如,对以零或五结尾的数字的过度报告。通常,分析使用等比例——每个数字10%的概率——作为参考分布。然而,根据样本的年龄分布和事件发生时年龄的潜在分布,另一种参考分布可能更合适。作为一个例子,作者在“全国女性健康研究”(1995 - 1997年)中,对2151名自然绝经女性的横断面数据进行了分析,该研究是一项针对40 - 55岁女性的多地点、多民族研究,检查了自我报告的最后月经周期的日历年中的数字偏好。通过卡方检验,将自我报告的最后月经周期年份末位数字的分布与几种参考分布进行了比较。观察到的分布与基于先前发表数据的参考分布比与等比例分布更为接近。在横断面研究中,未来对数字偏好的评估应考虑等比例分布之外的其他分布,特别是对于年龄范围较小的样本和潜在年龄分布受限的事件。