A total of 403 healthy, premenopausal women, residing near Santa Clara, California, were recruited from a large health care plan in California for a study of menstrual function.
After a telephone interview, participants collected daily urine samples and recorded bleeding and other information in diaries.
Data were collected during 1990-1991.
Urine samples were analyzed for creatinine and for estradiol and progesterone metabolites by enzyme-linked immunoassay.
Computer algorithms were developed to derive menstrual segment length, ovulatory status, day of ovulation, and other parameters from the urine and diary data. (We use « segment » rather than « cycle » to avoid implying that normal cycling occurred.) The average length of participation was 141 (standard deviation, 45) days.
The mean segment length was 28.8 (standard deviation, 4.4) days ; follicular phase length, 16.0 (standard deviation, 4.4) days ; and luteal phase length, 12.9 (standard deviation, 1.7) days ; 19 (4.7%) women experienced anovulatory episodes. (...)
Mots-clés Pascal : Préménopause, Cycle menstruel, Menstruation, Ovulation, Urine, Algorithme, Méthodologie, Californie, Etats Unis, Amérique du Nord, Amérique, Marqueur biologique, Méthode mesure, Evaluation performance, Homme, Femelle, Epidémiologie, Appareil génital femelle
Mots-clés Pascal anglais : Premenopause, Menstrual cycle, Menstruation, Ovulation, Urine, Algorithm, Methodology, California, United States, North America, America, Biological marker, Measurement method, Performance evaluation, Human, Female, Epidemiology, Female genital system
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0289385
Code Inist : 002B24N. Création : 27/11/1998.