Publication Cover
Human Fertility
an international, multidisciplinary journal dedicated to furthering research and promoting good practice
Volume 24, 2021 - Issue 4
616
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Time to conception and the menstrual cycle: an observational study of fertility app users who conceived

, , , , , & show all
Pages 267-275 | Received 04 Sep 2018, Accepted 09 Apr 2019, Published online: 16 May 2019
 

Abstract

The objective of this research was to evaluate the association between menstrual cycle characteristics (cycle length, cycle-length variability, and their interaction) and the amount of time it takes women to conceive using a robust multiple linear regression. Participants downloaded Ovia Fertility in 2015 indicated that they had just started trying to conceive, and reported conception within 12 months (n = 45,360, adjusted model n = 8835). The average time to conception among women in the adjusted model was 3.94 months (n = 8835). Women with normal cycle lengths (27–29 days) conceived more quickly than women with cycle lengths of 25–26 days (+0.41 months; p < 0.001), 30–31 days (+0.27 months; p < 0.01), 32–33 days (+0.44 months; p < 0.001), and 34+ days (+0.75 months; p < 0.001). Women with regular cycle-length variability (<9 days between cycles) conceived more quickly than women with irregular variability (+0.72 months; p < 0.001). Results of the interaction analysis indicated that, among women with regular cycle-length variability, those with normal cycle length had shorter time to conception than women with either short or long cycle length. The interaction between cycle length and cycle-length variability provided enhanced insights into the amount of time it takes to conceive, compared to either indicator alone.

Acknowledgements

The authors are grateful to Dr Alan Penzias, of Beth Israel Deaconess Medical Center (Boston, MA) and Dr Alexander Quaas, of the University Hospital Basel (Basel, Switzerland) for their editorial advice and review of the manuscript and analysis methodologies. The authors are also grateful to Ovia Fertility users for using the app and providing the data analyzed in this research. This research was funded by Ovia Health through the employment of four authors.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.