Plausibility of Menstrual Cycle Apps Claiming to Support Conception

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منابع مشابه

Plausibility of Menstrual Cycle Apps Claiming to Support Conception

1 Department of Gynecological Endocrinology and Fertility Disorders, University of Heidelberg, Heidelberg, Germany, 2 UniKid, Women’s University Hospital of Düsseldorf, Düsseldorf, Germany, 3 Department of Obstetrics and Gynecology, University Clinic of Munich, Munich, Germany, 4 Section Natural Fertility, German Society of Gynecological Endocrinology and Fertility Medicine (DGGEF e.V.), Heidel...

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Race bias tracks conception risk across the menstrual cycle.

Although a considerable body of research explores alterations in women's mating-relevant preferences across the menstrual cycle, investigators have yet to examine the potential for the menstrual cycle to influence intergroup attitudes. We examined the effects of changes in conception risk across the menstrual cycle on intergroup bias and found that increased conception risk was positively assoc...

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Estimated maximum failure rates of cycle monitors using daily conception probabilities in the menstrual cycle.

BACKGROUND A number of menstrual cycle monitors have been developed to detect the fertile window of the menstrual cycle, mainly for contraceptive purposes. Reliable data on most of these systems are still missing but are urgently needed because many women use them and the tested systems differ enormously in price and effectiveness. We suggest a new efficacy estimating method to evaluate cycle m...

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Preimplantation hormonal differences between the conception and non-conception menstrual cycles of 32 normal women.

We compared daily urinary concentrations of oestrogen and progesterone metabolites in paired menstrual cycles (conception and non-conception) from 32 women. Volunteers with no known fertility problems were enrolled in the study at the time they began trying to become pregnant. They collected first-morning urine specimens and kept daily records of menstrual bleeding and sexual intercourse for 6 ...

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Factors affecting menstrual cycle characteristics.

This 1989-1991 study in California and Utah used daily urinary metabolites of estrogen and progesterone and computer algorithms to assess ovulatory status and day of ovulation. The authors examined the associations of risk factors with menstrual cycle characteristics for 309 working women aged 20-44 years who collected a median of five cycles each of daily urine samples. Linear mixed models wer...

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ژورنال

عنوان ژورنال: Frontiers in Public Health

سال: 2018

ISSN: 2296-2565

DOI: 10.3389/fpubh.2018.00098