Literature DB >> 32169418

Fertility awareness-based methods of family planning.

Rebecca G Simmons1, Victoria Jennings2.   

Abstract

Fertility awareness-based methods (FABMs) of family planning involve monitoring various signs and symptoms of fertility during the menstrual cycle to identify the "fertile window," or the days of the cycle when unprotected intercourse is most likely to result in pregnancy. Signs and symptoms include menstrual cycle length, basal body temperature, urinary hormone measurements, and/or cervical fluid and may be used alone or in combination. Fertility signs reflect both physiological changes during the menstrual cycle and the life cycle of the ovum and sperm. Women learn to observe or measure and interpret these signs according to the instructions of their chosen FABM and avoid unprotected intercourse on fertile days. FABMs are appropriate for those who choose to use them, are able and willing to observe one or more fertility signs, and are in relationships that support the use of a coitus-related method such as a condom or abstaining from intercourse on fertile days.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Contraception; Fertility awareness-based method; Fertility signs; Menstrual cycle; Natural family planning

Year:  2019        PMID: 32169418     DOI: 10.1016/j.bpobgyn.2019.12.003

Source DB:  PubMed          Journal:  Best Pract Res Clin Obstet Gynaecol        ISSN: 1521-6934            Impact factor:   5.237


  9 in total

1.  Oocyte Biobanks: Old Assumptions and New Challenges.

Authors:  Pamela Tozzo
Journal:  BioTech (Basel)       Date:  2021-02-18

Review 2.  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

3.  The Fertility Indicator Equation Using Serum Progesterone and Urinary Pregnanediol-3-Glucuronide for Assessment of Ovulatory to Luteal Phase Transition.

Authors:  Stephen J Usala; María Elena Alliende; A Alexandre Trindade
Journal:  Medicina (Kaunas)       Date:  2021-02-03       Impact factor: 2.430

4.  Exploring Readiness for Birth Control in Improving Women Health Status: Factors Influencing the Adoption of Modern Contraceptives Methods for Family Planning Practices.

Authors:  Adnan Muhammad Shah; KangYoon Lee; Javaria Nisa Mir
Journal:  Int J Environ Res Public Health       Date:  2021-11-12       Impact factor: 3.390

5.  Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms.

Authors:  Jia-Le Yu; Yun-Fei Su; Chen Zhang; Li Jin; Xian-Hua Lin; Lu-Ting Chen; He-Feng Huang; Yan-Ting Wu
Journal:  Reprod Biol Endocrinol       Date:  2022-08-13       Impact factor: 4.982

6.  Individual and community-level determinants of knowledge of ovulatory cycle among women of reproductive age in 29 African countries: a multilevel analysis.

Authors:  Betregiorgis Zegeye; Nicholas Kofi Adjei; Dina Idriss-Wheeler; Sanni Yaya
Journal:  BMC Womens Health       Date:  2022-09-29       Impact factor: 2.742

7.  Childbearing intentions, fertility awareness knowledge and contraceptive use among female university students in Cameroon.

Authors:  Derick Akompab Akoku; Thomas Achombwom Vukugah; Mbah Abena Tihnje; Idris Bigweh Nzubepie
Journal:  PLoS One       Date:  2022-10-17       Impact factor: 3.752

8.  A Novel Fertility Indicator Equation Using Estradiol Levels for Assessment of Phase of the Menstrual Cycle.

Authors:  Stephen J Usala; A Alexandre Trindade
Journal:  Medicina (Kaunas)       Date:  2020-10-22       Impact factor: 2.430

9.  Individual and community-level determinants of knowledge of ovulatory cycle among women of childbearing age in Ethiopia: A multilevel analysis based on 2016 Ethiopian Demographic and Health Survey.

Authors:  Baye Dagnew; Achamyeleh Birhanu Teshale; Henok Dagne; Mengistie Diress; Getayeneh Antehunegn Tesema; Reta Dewau; Meseret Derbew Molla; Yigizie Yeshaw
Journal:  PLoS One       Date:  2021-09-02       Impact factor: 3.240

  9 in total

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