Fertility Knowledge Among Women Struggling to Conceive Without Medical Intervention: A Brief Report
Maria Halleran, Andie Chernoff, Jennifer L. Gordon
Frontiers in Global Women's Health · 2022
doi:10.3389/fgwh.2022.828052 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
IntroductionApproximately 1 in 6 women experience infertility. Though medical treatments for infertility exist, they are very costly and highly burdensome for women. It is therefore desirable to optimize women's chances of conception without medical intervention by ensuring that they have adequate knowledge of the female menstrual cycle and the timing of the fertile window. The current study therefore aimed to assess the degree to which women struggling to conceive without medical intervention are knowledgeable about these topics.MethodsOne hundred and two women of reproductive age (18–45 years old) in Canada and the United States who had been struggling to conceive without medical intervention for ≥12 months completed an online survey including a questionnaire assessing knowledge related to reproduction and fertility.ResultsMean accuracy score on the Fertility Knowledge Questionnaire was 67%. Seventy-two women were not aware that the week before ovulation was associated with the highest chances of conception. Women using cervical mucus tracking to increase chances of conception were more knowledgeable (p = 0.02), as were women with more formal education (p = 0.01). Conversely, women who had been attempting to conceive for longer had lower fertility knowledge (p = 0.03). Age, number of children, and family income were unrelated to fertility knowledge (p > 0.05).DiscussionOur findings suggest that women who are struggling to conceive would benefit from education related to the timing and identification of the fertile window. Reproductive and primary healthcare providers can play an important role in assessing fertility knowledge and addressing knowledge gaps to improve chances of successful conception.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.