Thanks for checking out the references list for the freebie – ‘The 5 Biggest Fertility Myths that could be Stopping you from Getting Pregnant!’
It’s really important to me that everything I teach and recommend is based on the latest scientific research. My goal is to support you on your fertility journey with reliable, accurate information that’s proven to give you your best chance of conception.
a. Robinson JE, et al. Increased pregnancy rate with use of the Clearblue Easy Fertility Monitor. Fertil Steril. 2007 Feb 87(2):329–334
b. Robinson JE, Ellis J. Mistiming of intercourse as a primary cause of failure to conceive: results of a survey on use of a home-use fertility monitor, Curr Med Res Opin. 2007 Feb; 23(2):301-306
c. Zinaman M, Johnson S, Ellis J, Ledger W. Accuracy of perception of ovulation day in women trying to conceive. Curr Med Res Opin. 2012 May;26(5):749-54
d. Righarts A, Dickson NP, Parkin L, Gillett WR. Ovulation monitoring and fertility knowledge: Their relations to fertility experience in a cross-sectional study. ANZJOG, 2017 March;57(4):412-419
e. Gnoth et al. Time to pregnancy: results of the German prospective study and impact on the management of infertility. Human Reproduction, 2003;18(9):1959-1966
f. Hilgers TW, Daly KD, Prebil AM, Hilgers SK. Cumulative pregnancy rates in patients with apparently normal fertility and fertility-focused intercourse. J Reprod Med 1992 Oct;37(10):864-866
g. Johnson S, Marriott, L, Zinaman M. Can apps and calendar methods predict ovulation with accuracy? Curr Med Res Opin 2018 Sep;34(9):1587-1594
h. Moglia ML et al. Evaluation of Smartphone Menstrual Cycle Tracking Applications Using an Adapted APPLICATIONS Scoring System. Obstet Gynecol. 2016 Jun;127(6):1153-60
i. Costa, S. A Systematic Review and Meta-synthesis of Mobile Device Fertility Applications: More Than a Glitch in the Matrix. Fertility Society of Australia’s Annual Scientific Meeting.
j. Dunson DB, Baird DD, Wilcox AJ and Weinberg CR. Day-specific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation. Hum Reprod. 1999 Jul;14(7):1835-1839
k. Bigelow JL, Dunson DB, Stanford JB, Ecochard R, Gnoth C, Colombo B. Mucus observations in the fertile window: a better predictor of conception than timing of intercourse, Human Reproduction April 2004; 19(4):889–892
l. Wilcox AJ, Weinberg CR, O’Connor JF et al. Incidence of early loss of pregnancy. N Engl J Med. 1988 Jul 28;319(4):189-194
m. Wilcox AJ, Weinberg CR, Baird DD. Post-ovulatory ageing of the human oocyte and embryo failure, Human Reproduction 1998 Feb; 13(2): 394–397
n. Bull JR, Rowland S, Scherwitzl EB, et al. Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. npj Digit. Med. 2019; 2(83).
o. Wilcox AJ, Dunson DB, Baird DD. The timing of the ‘fertile window’ in the menstrual cycle: day specific estimates from a prospective study. BMJ 2000 Nov;18;321(7271):1259-1262
p. Brosens I, Brosens J. Managing infertility with fertility-awareness methods. Sexuality, Reproduction and Menopause 2006 May;4(1):13-16
q. Freis A et al. Plausibility of Menstrual Cycle Apps Claiming to Support Conception. Front Public Health 2018 Apr 3;6:98
