Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy
Anne Marie Z. Jukic, Kristina Gemzell‐Danielsson, Joyce Harper, Jack T Pearson, Simon P Rowland, Kristina Gemzell Danielsson, Elina Berglund Scherwitzl, Magda Chelstowska, Carlotta Favaro, Kristina Gemzell-Danielsson, Raoul Scherwitzl
Open Access
National Institute of Environmental Health SciencesROR
Time to pregnancy (TTP) is a biomarker of fecundability and has been associated with behavioral and environmental characteristics; however, these associations have not been examined in a large population-based sample of application (app) users.
Materials and Methods
This observational study followed 5,376 women with an age range of 18 to 45 years who used an app to identify their fertile window. We included women who started trying to conceive between September 30, 2017 and August 31, 2018. TTP was calculated as the number of menstrual cycles from when the user switched to "Plan" mode up to and including the cycle in which they logged a positive pregnancy test. We examined associations with several characteristics, including age, gravidity, body mass index, cycle length and cycle length variation, frequency of sexual intercourse, and temperature measuring frequency. Discrete time fecundability models were used to estimate fecundability odds ratios.
Results
For the complete cohort the 6-cycle and 12-cycle cumulative pregnancy probabilities were found to be 61% (95% confidence interval [CI]: 59-62) and 74% (95% CI: 73-76), respectively. The median TTP was four cycles. The highest fecundability was associated with an age of less than 35 years, with cycle length variation <5 days and logging sexual intercourse on at least 20% of days added (the proportion of days in which intercourse was logged) (11.5% [n = 613] of entire sample). This group achieved a 6and 12-cycle cumulative pregnancy probability of 88% (95% CI: 85-91) and 95% (95% CI: 94-97), respectively, and a TTP of 2 cycles.
Conclusions
Natural Cycles was an effective method of identifying the fertile window and a noninvasive educational option for women planning a pregnancy. Women under age 35 with regular cycles showed a high pregnancy rate.
time to pregnancy fertility app, fertility awareness mobile application, fecundability biomarker app-based, TTP behavioral characteristics, digital fertility tracking outcomes, ovulation prediction app study, natural conception fertility tracking, app-based family planning effectiveness, demographic factors time to pregnancy, environmental exposures fecundability
PMID 34495761 34495761 DOI 10.1089/jwh.2021.0026 10.1089/jwh.2021.0026
Cite this article
Favaro, C., Pearson, J. T., Rowland, S. P., Jukic, A. M., Chelstowska, M., Berglund Scherwitzl, E., Scherwitzl, R., Gemzell Danielsson, K., & Harper, J. (2021). Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy. *Journal of women's health (2002)*, *30*(11), 1538-1545. https://doi.org/10.1089/jwh.2021.0026
Favaro C, Pearson JT, Rowland SP, Jukic AM, Chelstowska M, Berglund Scherwitzl E, et al. Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy. J Womens Health (Larchmt). 2021;30(11):1538-1545. doi:10.1089/jwh.2021.0026
Favaro, C., et al. "Time to Pregnancy for Women Using a Fertility Awareness Based Mobile Application to Plan a Pregnancy." *Journal of women's health (2002)*, vol. 30, no. 11, 2021, pp. 1538-1545.
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