Literature DB >> 25592280

Identification and prediction of the fertile window using NaturalCycles.

Elina Berglund Scherwitzl1, Angelica Lindén Hirschberg2, Raoul Scherwitzl1.   

Abstract

OBJECTIVES: The aim of the study was to evaluate the ability of a novel web and mobile application to identify a woman's ovulation day and fertile window, in order to use it as a method of natural birth control.
METHODS: A retrospective study was performed on 1501 cycles of 317 women aged 18 to 39 years. Women entered their basal body temperatures, ovulation test results and date of menstruation into the application.
RESULTS: The mean delay from the first positive ovulation test to the temperature-based estimation of the ovulation day was 1.9 days; the length of the luteal phase varied on average by 1.25 days per user. Only 0.05% of non-fertile days were falsely attributed and found within the fertile window.
CONCLUSIONS: The method is effective at identifying a user's ovulation day and fertile window and can therefore be used as a natural method of birth control.

Entities:  

Keywords:  Basal body temperature; Fertile window; Fertility awareness; Fertility monitor; Natural birth control; Natural family planning

Mesh:

Year:  2015        PMID: 25592280     DOI: 10.3109/13625187.2014.988210

Source DB:  PubMed          Journal:  Eur J Contracept Reprod Health Care        ISSN: 1362-5187            Impact factor:   1.848


  21 in total

Review 1.  Temperature regulation in women: Effects of the menstrual cycle.

Authors:  Fiona C Baker; Felicia Siboza; Andrea Fuller
Journal:  Temperature (Austin)       Date:  2020-03-22

2.  A novel vaginal pH regulator: results from the phase 3 AMPOWER contraception clinical trial.

Authors:  Michael A Thomas; B Todd Chappell; Bassem Maximos; Kelly R Culwell; Clint Dart; Brandon Howard
Journal:  Contracept X       Date:  2020-07-01

3.  Fecundability in relation to use of mobile computing apps to track the menstrual cycle.

Authors:  Joseph B Stanford; Sydney K Willis; Elizabeth E Hatch; Kenneth J Rothman; Lauren A Wise
Journal:  Hum Reprod       Date:  2020-10-01       Impact factor: 6.918

4.  Perfect-use and typical-use Pearl Index of a contraceptive mobile app.

Authors:  E Berglund Scherwitzl; O Lundberg; H Kopp Kallner; K Gemzell Danielsson; J Trussell; R Scherwitzl
Journal:  Contraception       Date:  2017-09-04       Impact factor: 3.375

5.  Menstrual Cycle Tracking Applications and the Potential for Epidemiological Research: A Comprehensive Review of the Literature.

Authors:  Joelle S Schantz; Claudia S P Fernandez; Z Jukic Anne Marie
Journal:  Curr Epidemiol Rep       Date:  2021-02-20

6.  Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol.

Authors:  Rebecca G Simmons; Dominick C Shattuck; Victoria H Jennings
Journal:  JMIR Res Protoc       Date:  2017-01-18

Review 7.  Detection of ovulation, a review of currently available methods.

Authors:  Hsiu-Wei Su; Yu-Chiao Yi; Ting-Yen Wei; Ting-Chang Chang; Chao-Min Cheng
Journal:  Bioeng Transl Med       Date:  2017-05-16

8.  Plausibility of Menstrual Cycle Apps Claiming to Support Conception.

Authors:  Alexander Freis; Tanja Freundl-Schütt; Lisa-Maria Wallwiener; Sigfried Baur; Thomas Strowitzki; Günter Freundl; Petra Frank-Herrmann
Journal:  Front Public Health       Date:  2018-04-03

9.  Modern fertility awareness methods: wrist wearables capture the changes in temperature associated with the menstrual cycle.

Authors:  Mohaned Shilaih; Brianna M Goodale; Lisa Falco; Florian Kübler; Valerie De Clerck; Brigitte Leeners
Journal:  Biosci Rep       Date:  2018-11-30       Impact factor: 3.840

10.  Fertility awareness-based mobile application for contraception.

Authors:  Elina Berglund Scherwitzl; Kristina Gemzell Danielsson; Jonas A Sellberg; Raoul Scherwitzl
Journal:  Eur J Contracept Reprod Health Care       Date:  2016-03-22       Impact factor: 1.848

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.