Literature DB >> 12798538

Vulvar mucus observations and the probability of pregnancy.

Joseph B Stanford1, Ken R Smith, David B Dunson.   

Abstract

OBJECTIVE: To assess the day-specific and cycle-specific probabilities of conception leading to clinical pregnancy, in relation to the timing of intercourse and vulvar mucus observations.
METHODS: This was a retrospective cohort study of women beginning use of the Creighton Model Fertility Care System in Missouri, Nebraska, Kansas, and California. Data were abstracted from Creighton Model Fertility Care System records, including women's daily standardized vulvar observations of cervical mucus discharge, days of intercourse, and clinically evident pregnancy (conception). Established statistical models were used to estimate day-specific probabilities of conception.
RESULTS: Data were analyzed from 1681 cycles with 81 conceptions from 309 normally fertile couples (initially seeking to avoid pregnancy) and from 373 cycles with 30 conceptions from 117 subfertile couples (who were initially trying to achieve pregnancy). The highest probability of pregnancy occurred on the peak day of vulvar mucus observation (.38 for normally fertile couples and.14 for subfertile couples). The probability of pregnancy was greater than.05 for normally fertile couples from 3 days before to 2 days after the peak, and for subfertile couples from 1 day before to 1 day after the peak. The cycle-specific probability of conception correlated with the quality of mucus discharge in normally fertile couples but not in subfertile couples.
CONCLUSION: Standardized vulvar observations of vaginal mucus discharge identify the days with the greatest likelihood of conception from intercourse in normal fertility and subfertility and provide an indicator of the overall potential for conception in a given menstrual cycle in normal fertility.

Entities:  

Mesh:

Year:  2003        PMID: 12798538     DOI: 10.1016/s0029-7844(03)00358-2

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  16 in total

1.  Realignment and multiple imputation of longitudinal data: an application to menstrual cycle data.

Authors:  Sunni L Mumford; Enrique F Schisterman; Audrey J Gaskins; Anna Z Pollack; Neil J Perkins; Brian W Whitcomb; Aijun Ye; Jean Wactawski-Wende
Journal:  Paediatr Perinat Epidemiol       Date:  2011-06-14       Impact factor: 3.980

2.  Natural procreative technology for infertility and recurrent miscarriage: outcomes in a Canadian family practice.

Authors:  Elizabeth Tham; Karen Schliep; Joseph Stanford
Journal:  Can Fam Physician       Date:  2012-05       Impact factor: 3.275

3.  Too old to have children? Lessons from natural fertility populations.

Authors:  Marinus J C Eijkemans; Frans van Poppel; Dik F Habbema; Ken R Smith; Henri Leridon; Egbert R te Velde
Journal:  Hum Reprod       Date:  2014-03-27       Impact factor: 6.918

4.  Cervical mucus monitoring prevalence and associated fecundability in women trying to conceive.

Authors:  Emily Evans-Hoeker; David A Pritchard; D Leann Long; Amy H Herring; Joseph B Stanford; Anne Z Steiner
Journal:  Fertil Steril       Date:  2013-07-11       Impact factor: 7.329

Review 5.  Fertility Awareness-Based Methods for Women's Health and Family Planning.

Authors:  Marguerite Duane; Joseph B Stanford; Christina A Porucznik; Pilar Vigil
Journal:  Front Med (Lausanne)       Date:  2022-05-24

6.  Impact of instruction in the Creighton model fertilitycare system on time to pregnancy in couples of proven fecundity: results of a randomised trial.

Authors:  Joseph B Stanford; Ken R Smith; Michael W Varner
Journal:  Paediatr Perinat Epidemiol       Date:  2014-09       Impact factor: 3.980

Review 7.  Methodologic and statistical approaches to studying human fertility and environmental exposure.

Authors:  Candace Tingen; Joseph B Stanford; David B Dunson
Journal:  Environ Health Perspect       Date:  2004-01       Impact factor: 9.031

8.  Sporadic anovulation is not an important determinant of becoming pregnant and time to pregnancy among eumenorrheic women: A simulation study.

Authors:  Elizabeth A DeVilbiss; Joseph B Stanford; Sunni L Mumford; Lindsey A Sjaarda; Keewan Kim; Jessica R Zolton; Neil J Perkins; Enrique F Schisterman
Journal:  Paediatr Perinat Epidemiol       Date:  2020-09-24       Impact factor: 3.103

9.  Pilot test and validation of the peak day method of prospective determination of ovulation against a handheld urine hormone monitor.

Authors:  Christina A Porucznik; Kyley J Cox; Karen C Schliep; Joseph B Stanford
Journal:  BMC Womens Health       Date:  2014-01-08       Impact factor: 2.809

10.  Restorative reproductive medicine for infertility in two family medicine clinics in New England, an observational study.

Authors:  Joseph B Stanford; Paul A Carpentier; Barbara L Meier; Mark Rollo; Benjamin Tingey
Journal:  BMC Pregnancy Childbirth       Date:  2021-07-07       Impact factor: 3.007

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