Accuracy of Reporting of Menstrual Cycle Length
| Autor: | Anne Marie Z. Jukic, Allen J. Wilcox, Donna D. Baird, Paige P. Hornsby, D. Robert McConnaughey, Clarice R. Weinberg |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Adult
Infertility Gerontology Practice of Epidemiology Epidemiology media_common.quotation_subject Health Behavior Cohen's kappa Surveys and Questionnaires Covariate Linear regression Confidence Intervals medicine Humans Prospective Studies Menstrual Cycle Menstrual cycle media_common business.industry Age Factors Reproducibility of Results medicine.disease Confidence interval Female Illinois business Body mass index Kappa Demography |
| Zdroj: | American Journal of Epidemiology. 167:25-33 |
| ISSN: | 1476-6256 0002-9262 |
| DOI: | 10.1093/aje/kwm265 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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