Jukic Anne Marie Zaura, Weinberg Clarice R, Wilcox Allen J, McConnaughey D Robert, Hornsby Paige, Baird Donna D
Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC 27709, USA.
Am J Epidemiol. 2008 Jan 1;167(1):25-33. doi: 10.1093/aje/kwm265. Epub 2007 Oct 10.
There are many studies based on self-reported menstrual cycle length, yet little is known about the validity of this measure. The authors used data collected in 1990 from 352 women born in Chicago, Illinois, aged 37-39 years. Women reported their usual cycle length and behavioral and reproductive characteristics at study enrollment and then completed daily menstrual diaries for up to 6 months. The authors compared this observed cycle length (geometric mean) with the reported length by using kappa coefficients. To assess systematic effects, they performed linear regression of the difference between reported and observed cycle length. Agreement between observed and reported cycle length was moderate. The crude overall kappa coefficient was 0.33; the kappa adjusted for within-woman sampling variability was 0.45 (95% confidence interval: 0.36, 0.55). On average, women overestimated their cycle length by 0.7 days (95% confidence interval: 0.3, 1.0). Reporting by sexually active women and women with a history of infertility was more accurate. Parity, body mass index, prior medical evaluation for irregular cycles, and exercise were all associated with systematic reporting differences. Studies that rely on self-reported cycle length could be prone to artifactual findings because of systematic covariate effects on reporting.
有许多基于自我报告的月经周期长度的研究,但对于这一测量方法的有效性知之甚少。作者使用了1990年从伊利诺伊州芝加哥市出生的352名年龄在37 - 39岁的女性中收集的数据。女性在研究登记时报告了她们通常的周期长度以及行为和生殖特征,然后填写了长达6个月的每日月经日记。作者使用kappa系数将观察到的周期长度(几何平均数)与报告的长度进行了比较。为了评估系统效应,他们对报告的和观察到的周期长度之间的差异进行了线性回归。观察到的和报告的周期长度之间的一致性为中等。总体粗略kappa系数为0.33;针对女性内部抽样变异性调整后的kappa系数为0.45(95%置信区间:0.36, 0.55)。平均而言,女性高估了她们的周期长度0.7天(95%置信区间:0.3, 1.0)。性活跃女性和有不孕史的女性的报告更准确。产次、体重指数、既往对月经周期不规律的医学评估以及运动都与系统性报告差异有关。由于对报告存在系统性协变量效应,依赖自我报告的周期长度的研究可能容易出现人为的研究结果。