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Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort.

Publication ,  Journal Article
Steiner, AZ; Long, DL; Herring, AH; Kesner, JS; Meadows, JW; Baird, DD
Published in: Reproductive sciences (Thousand Oaks, Calif.)
May 2013

High serum follicle-stimulating hormone (FSH) levels have been associated with diminished ovarian reserve; however, the association between high urinary FSH and reduced natural fertility has yet to be established. We sought to characterize the relationship between a single or multiple measurements of early follicular phase urinary FSH and fertility. Women (n = 209), 30 to 44 years old with no history of infertility, who had been trying to conceive for less than 3 months, provided early follicular phase urine. Participants subsequently kept a diary to record bleeding and intercourse and conducted standardized pregnancy testing for up to 6 months. A subset of women (N = 95) collected urine on cycle day 3 for up to 6 cycles. Urine was analyzed for FSH and creatinine (cr) corrected. Proportional hazard models were used to calculate fecundability ratios (FRs). Urinary FSH levels across cycles from the same woman were highly correlated (adjusted intraclass correlation = .77); within-woman variance was 3-fold lower than variance among women. Women with an initial urinary FSH level <7 mIU/mg cr exhibited a nonsignificant reduction in the probability of pregnancy (adjusted FR 0.71, 95% confidence interval [CI]: 0.45-1.13), as did women with elevated urinary FSH (≥12 mIU/mg cr; adjusted FR 0.78, 95% CI: 0.46-1.32). Using the most recent or maximum urinary FSH value did not strengthen the association. In the general population, urinary FSH levels appear to be nonlinearly associated with fertility; however, broad CIs indicate a lack of statistical significance. Repetitive testing appears to be of little benefit.

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Published In

Reproductive sciences (Thousand Oaks, Calif.)

DOI

EISSN

1933-7205

ISSN

1933-7191

Publication Date

May 2013

Volume

20

Issue

5

Start / End Page

549 / 556

Related Subject Headings

  • Time-to-Pregnancy
  • Time Factors
  • Reproducibility of Results
  • Proportional Hazards Models
  • Pregnancy
  • Predictive Value of Tests
  • Ovulation Detection
  • Obstetrics & Reproductive Medicine
  • North Carolina
  • Nonlinear Dynamics
 

Citation

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ICMJE
MLA
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Steiner, A. Z., Long, D. L., Herring, A. H., Kesner, J. S., Meadows, J. W., & Baird, D. D. (2013). Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort. Reproductive Sciences (Thousand Oaks, Calif.), 20(5), 549–556. https://doi.org/10.1177/1933719112459226
Steiner, Anne Z., D Leann Long, Amy H. Herring, James S. Kesner, Juliana W. Meadows, and Donna D. Baird. “Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort.Reproductive Sciences (Thousand Oaks, Calif.) 20, no. 5 (May 2013): 549–56. https://doi.org/10.1177/1933719112459226.
Steiner AZ, Long DL, Herring AH, Kesner JS, Meadows JW, Baird DD. Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort. Reproductive sciences (Thousand Oaks, Calif). 2013 May;20(5):549–56.
Steiner, Anne Z., et al. “Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort.Reproductive Sciences (Thousand Oaks, Calif.), vol. 20, no. 5, May 2013, pp. 549–56. Epmc, doi:10.1177/1933719112459226.
Steiner AZ, Long DL, Herring AH, Kesner JS, Meadows JW, Baird DD. Urinary follicle-stimulating hormone as a measure of natural fertility in a community cohort. Reproductive sciences (Thousand Oaks, Calif). 2013 May;20(5):549–556.
Journal cover image

Published In

Reproductive sciences (Thousand Oaks, Calif.)

DOI

EISSN

1933-7205

ISSN

1933-7191

Publication Date

May 2013

Volume

20

Issue

5

Start / End Page

549 / 556

Related Subject Headings

  • Time-to-Pregnancy
  • Time Factors
  • Reproducibility of Results
  • Proportional Hazards Models
  • Pregnancy
  • Predictive Value of Tests
  • Ovulation Detection
  • Obstetrics & Reproductive Medicine
  • North Carolina
  • Nonlinear Dynamics