Symptoms and hormonal changes accompanying ovulation

Early menstrual cycle impacts of oestrogen and progesterone on the timing of the fertile window

STUDY QUESTION

What is the effect of oestrogen and progesterone at the beginning of the menstrual cycle in delaying entry into the fertile window?

SUMMARY ANSWER

Both oestrogen and progesterone contribute to a delay in the onset of the fertile window.

WHAT IS KNOWN ALREADY

Oestrogen enhances cervical mucus secretion while progesterone inhibits it.

STUDY DESIGN, SIZE, DURATION

Observational study. Daily observation of 220 menstrual cycles contributed by 88 women with no known menstrual cycle disorder.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Women recorded cervical mucus daily and collected first-morning urine samples for analysis of oestrone-3-glucuronide, pregnanediol-3-alpha-glucuronide (PDG), FHS, and LH. They underwent serial ovarian ultrasound examinations. The main outcome measure was the timing within the cycle of the onset of the fertile window, as identified by the appearance of mucus felt or seen at the vulva.

MAIN RESULTS AND THE ROLE OF CHANCE

Low oestrogen secretion and persistent progesterone secretion during the first week of the menstrual cycle both negatively affect mucus secretion. Doubling oestrogen approximately doubled the odds of entering the fertile window (OR: 1.82 95% CI=1.23; 2.69). Increasing PDG from below 1.5 to 4 µg/mg creatinine was associated with a 2-fold decrease in the odds of entering the fertile window (OR: 0.51 95% CI=0.31; 0.82). Prolonged progesterone secretion during the first week of the menstrual cycle was also statistically significantly associated with higher LH secretion. Finally, the later onset of the fertile window was associated with statistically significant persistently elevated LH secretion during the luteal phase of the previous menstrual cycle.

LIMITATIONS, REASONS FOR CAUTION

This post hoc study was conducted to assess the potential impact of residual progesterone secretion at the beginning of the menstrual cycle. It was conducted on an existing data set because of the scarcity of data available to answer the question. Analysis with other datasets with similar hormone results would be useful to confirm these findings.

WIDER IMPLICATIONS OF THE FINDINGS

This study provides evidence for residual progesterone secretion in the early latency phase of some menstrual cycles, which may delay the onset of the fertile window. This progesterone secretion may be supported by subtly increased LH secretion during the few days before and after the onset of menses, which may relate to follicular waves in the luteal phase. Persistent progesterone secretion should be considered in predicting the onset of the fertile window and in assessing ovulatory dysfunction.

STUDY FUNDING/COMPETING INTEREST(S)

The authors declare no conflicts of interest. No funding was provided for this secondary data analysis.

TRIAL REGISTRATION NUMBER

N/A.

Assessing geographical variation in ovulatory cycle knowledge among women of reproductive age in Sierra Leone: Analysis of the 2019 Demographic and Health Survey

BACKGROUND

Sierra Leone has poor indicators of reproductive health and a high prevalence of unintended pregnancies. To date, no study has explored determinants of ovulatory cycle knowledge in Sierra Leone. We investigated geographic region to determine where the needs for improved ovulatory cycle knowledge are greatest in Sierra Leone.

METHODS

This is a cross-sectional study of women of reproductive age (n = 15,574) based on the 2019 Sierra Leone Demographic and Health Survey. Geographic region and sociodemographic covariates were included in a multivariate logistic regression model predicting the odds that participants possessed accurate knowledge of when in the ovulatory cycle pregnancy initiation is most likely.

RESULTS

In Sierra Leone, 39.8% (CI = 37.4-40.9) of 15-49-year-old women had accurate knowledge of the ovulatory cycle. Women in the Northern and Southern regions possessed the highest prevalence of correct knowledge (46.7%, CI = 43.1-50.3 and 45.1%, CI = 41.9-48.2, respectively). Women from the Northwestern (AOR = 0.29, CI = 0.22-0.38), Eastern (AOR = 0.55, CI = 0.41-0.72), and Western regions (AOR = 0.63, CI = 0.50-0.80) had significantly lower odds of accurate ovulatory cycle knowledge compared to others. Women aged 15-19, those with a primary school education, and participants with a parity of none all had the lowest odds of correct ovulatory cycle knowledge as well.

CONCLUSION

Less than four in ten women in Sierra Leone had accurate knowledge of when in the ovulatory cycle pregnancy is most likely to occur. This suggests that family planning outreach programs should include education on the ovulatory cycle and the importance of understanding the implications of its timing. This can reduce the risk of unintended pregnancies throughout Sierra Leone, and can have an especially positive impact in the Northwestern, Eastern, and Western regions, where ovulatory cycle knowledge was significantly lower.

Relationship Between Steroid Hormone Profile and Premenstrual Syndrome in Women Consulting for Infertility or Recurrent Miscarriage

To determine the relationships between luteal-phase steroidal hormonal profile and PMS for a large number of women attending a dedicated fertility clinic. This was a retrospective cross-sectional study on women attending a hospital-based clinic for fertility concerns and/or recurrent miscarriage. All participants were assessed with a women's health questionnaire which also included evaluation of premenstrual symptoms. Day of ovulation was identified based on the peak mucus symptom assessed by the woman after instruction in a fertility awareness-based method (FABM). This enabled reliable timing of luteal-phase serum hormone levels to be taken and analysed. Between 2011 and 2021, 894 of the 2666 women undertaking the women's health assessment had at least one evaluable serum luteal hormone test. Serum progesterone levels were up to 10 nmol/L lower for symptomatic women compared with asymptomatic women. This difference was statistically significant (p < 0.05) for the majority of PMS symptoms at ≥ 9 days after the peak mucus symptom. A similar trend was observed for oestradiol but differences were generally not statistically significant. ROC curves demonstrated that steroid levels during the luteal phase were not discriminating in identifying the presence of PMS symptoms. Blood levels for progesterone were lower throughout the luteal phase in women with PMS, with the greatest effect seen late in the luteal phase.

Understanding the perspective of women who use the Billings Ovulation Method®: a focus group study

BACKGROUND

The Billings Ovulation Method®(the Billings Method) is a fertility awareness-based method (FABM) of family planning that relies on the observation of patterns of fertility and infertility based on vulvar sensations and appearance of discharges. This allows people to choose when to have intercourse, depending on whether they want to avoid or achieve pregnancy. Few studies have documented user experiences with FABMs.

METHODS

We conducted four virtual focus groups (FGs) in May and June 2021 with current adult women users of the Billings Method. We asked questions about users' reasons for selecting a FABM and the Billings Method, positive experiences and challenges learning and using the Billings Method, and suggestions for improving the user experience. We performed a content analysis of the transcribed FGs to explore key themes from the discussions. COREQ guidelines were followed.

RESULTS

Twenty women between the ages of 23 and 43 participated in the FGs. Reasons women described choosing a FABM included to follow religious beliefs, to avoid side effects of hormonal contraception, and/or to learn more about their bodies. Reasons for selecting the Billings Method included perceiving it as more precise and easier to understand than other FABMs, having a scientific basis, and being recommended by family and friends. Experiences related to learning and using the Billings Method were mainly positive. They included finding the method easy to use and learn, successfully using it to either postpone or achieve a pregnancy and increasing their awareness of their bodies. Challenges for participants included the inherent learning curve for identifying sensations at the vulva and the required periods of abstinence. Participants provided suggestions and recommendations for improving users' experience, including raising awareness of the Billings Method among healthcare providers.

CONCLUSIONS

Users of the Billings Method expressed an overall positive experience when learning and using it for family planning and body awareness. Some challenges were identified that offer opportunities to improve how the Billings Method is taught and delivered. These findings can also enhance healthcare providers' interactions with FABM users, including those of the Billings Method.

Light Microscopy and Proteomic Patterns of Ovulation in Cervical Mucus

There is an increasing number of couples interested in identifying the fertile window for the purpose of conceiving. From what has been published so far, it can be concluded that there are no reliable methods to predict ovulation, and, therefore, to predict the fertile window. Proteins of the cervical mucus (CM) could behave as biomarkers to allow the early and precise identification of ovulation. CM samples were collected from the lumen of the cervical canal from women of reproductive age, on three different days of the same menstrual cycle. Samples were first analyzed and classified by light microscopy. High-resolution mass spectrometry and bioinformatic analysis were performed afterwards to determine the in vivo changes of CM protein composition. CM underwent cyclical changes in its biophysical composition, which were evidenced by changes in the crystallographic patterns observed under the light microscope. The proteomic analysis revealed changes in the protein composition of CM along the cycle. Twenty-five out of the forty-eight total proteins identified could become potential biomarkers of ovulation. The coordinated changes in the composition of the CM around the time of ovulation could be happening to specifically grant access to a foreign body, such as the sperm might be.

Fertility Awareness-Based Methods for Women's Health and Family Planning

Background

Fertility awareness-based methods (FABMs) educate about reproductive health and enable tracking and interpretation of physical signs, such as cervical fluid secretions and basal body temperature, which reflect the hormonal changes women experience on a cyclical basis during the years of ovarian activity. Some methods measure relevant hormone levels directly. Most FABMs allow women to identify ovulation and track this "vital sign" of the menstrual or female reproductive cycle, through daily observations recorded on cycle charts (paper or electronic).

Applications

Physicians can use the information from FABM charts to guide the diagnosis and management of medical conditions and to support or restore healthy function of the reproductive and endocrine systems, using a restorative reproductive medical (RRM) approach. FABMs can also be used by couples to achieve or avoid pregnancy and may be most effective when taught by a trained instructor.

Challenges

Information about individual FABMs is rarely provided in medical education. Outdated information is widespread both in training programs and in the public sphere. Obtaining accurate information about FABMs is further complicated by the numerous period tracking or fertility apps available, because very few of these apps have evidence to support their effectiveness for identifying the fertile window, for achieving or preventing pregnancy.

Conclusions

This article provides an overview of different types of FABMs with a published evidence base, apps and resources for learning and using FABMs, the role FABMs can play in medical evaluation and management, and the effectiveness of FABMs for family planning, both to achieve or to avoid pregnancy.

Maternity After Orthotopic Liver Transplantation: Can the Use of Biological Fertility Indicators Help? Our Own Experience and Literature-based Recommendations

Over the last 5 decades, the fulfillment of maternity wishes in solid organ transplanted women has become a reality. Despite pregnancy contraindication in transplanted women during the early post-transplant period, such a condition can be overcome after 12 months if patients show a good clinical evolution and do not present other general pre-conceptional findings. This article presents the case report of a young female liver transplanted patient that used symptothermal method as a reliable family planning method. After her gestational contraindication was lifted, observation of biological fertility indicators and fertility-guided sexual intercourse helped her fulfill her maternity wish and conceive and carry out a healthy offspring. Based on this case and on the available bibliographic evidence, this paper reviews the potential implications of the use of this kind of approach as a safe and effective alternative to assisted reproduction technology in the management of potential infertility problems in the young female transplanted population, a population which according to literature has higher rates of unsuccessful parenthood and might also be more vulnerable to iatrogenicity of ovarian hyperstimulation process and to multiple pregnancy.

Labeling self-tracked menstrual health records with hidden semi-Markov models

Globally, millions of women track their menstrual cycle and fertility via smartphone-based health apps, generating multivariate time series with frequent missing data. To leverage this type of data for studies of fertility or studies of the effect of the menstrual cycle on symptoms and diseases, it is critical to have methods for identifying reproductive events, such as ovulation, pregnancy losses or births. Here, we present a hierarchical approach relying on hidden semi-Markov models that adapts to changes in tracking behavior, explicitly captures variable and state dependent missingness, allows for variables of different type, and quantifies uncertainty. The accuracy on simulated data reaches 98% with no missing data and 90% with realistic missingness. On our partially labeled real-world time series, the accuracy reaches 93%. Our method also accurately predicts cycle length by learning user characteristics. Its implementation is publicly available (HiddenSemiMarkov R package) and transferable to any health time series, including self-reported symptoms and occasional tests.

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

BACKGROUND

Knowledge of the ovulatory cycle (KOC) aids women to refrain and engage in sexual intercourse to avoid and to get pregnancy, respectively. The effect of community-level factors on KOC was not yet known in Ethiopia. Therefore, we aimed to investigate the community- and individual-level determinants of KOC among women of childbearing age.

METHODS

We used the 2016 Ethiopian Demographic and Health Survey, and total weighted samples of 15,683 women were included. Intra-class correlation, median odds ratio, and deviance were executed for model comparison in which a model with the lowest deviance was the best model i.e. model III in this case. A multivariable multilevel logistic regression model was employed to identify community- and individual-level factors of correct KOC. In the ultimate model, an adjusted odds ratio (AOR) with a 95% confidence interval was reported and variables with a p<0.05 were considered as statistically significant.

RESULTS

In this study, 3,698 [23.58% (95% CI; 22.92-24.25)] participants had correct KOC. Women's age in years, i.e. 20-24 (AOR = 1.46;1.28-1.68) 25-29 (AOR = 1.72; 1.49-1.99), 30-34 (AOR = 2.21; 1.89-2.58), 35-39 (AOR = 1.78; 1.51-2.09), 40-44 (AOR = 1.97; 1.65-2.37), and 45-49 (AOR = 1.78; 1.44-2.19), knowledge of contraceptive methods (AOR = 3.08; 2.07-4.58), increased women's educational level, i.e. higher (AOR = 4.24; 3.54-5.07), secondary (AOR = 2.89; 2.48-3.36), and primary (AOR = 1.57; 1.39-1.78), higher household's wealth index, i.e. richest (AOR = 1.71; 1.35-2.16), richer (AOR = 1.42; 1.16-1.72), middle (AOR = 1.29; 1.07-1.56), and poorer (AOR = 1.24; 1.03-1.48), current contraceptive use (AOR = 1.26; 1.13-1.39), menstruating in the last six weeks (AOR = 1.13; 1.03-1.24), women's media exposure (AOR = 1.20; 1.07-1.35), and being in the community with a high level of media exposure (AOR = 1.53; 1.24-1.88) were statistically significant with KOC.

CONCLUSIONS

Knowledge of the ovulatory cycle was low in this study, which demands health education for women of childbearing age. Special attention should be given to teenagers, those with lower educational, and lower economic status. Besides, the strengthening of media campaigns could increase women's KOC, which is crucial for preventing unintended pregnancy.

Cervical mucus patterns and the fertile window in women without known subfertility: a pooled analysis of three cohorts

STUDY QUESTION

What is the normal range of cervical mucus patterns and number of days with high or moderate day-specific probability of pregnancy (if intercourse occurs on a specific day) based on cervical mucus secretion, in women without known subfertility, and how are these patterns related to parity and age?

SUMMARY ANSWER

The mean days of peak type (estrogenic) mucus per cycle was 6.4, the mean number of potentially fertile days was 12.1; parous versus nulliparous, and younger nulliparous (<30 years) versus older nulliparous women had more days of peak type mucus, and more potentially fertile days in each cycle.

WHAT IS KNOWN ALREADY

The rise in estrogen prior to ovulation supports the secretion of increasing quantity and estrogenic quality of cervical mucus, and the subsequent rise in progesterone after ovulation causes an abrupt decrease in mucus secretion. Cervical mucus secretion on each day correlates highly with the probability of pregnancy if intercourse occurs on that day, and overall cervical mucus quality for the cycle correlates with cycle fecundability. No prior studies have described parity and age jointly in relation to cervical mucus patterns.

STUDY DESIGN, SIZE, DURATION

This study is a secondary data analysis, combining data from three cohorts of women: 'Creighton Model MultiCenter Fecundability Study' (CMFS: retrospective cohort, 1990-1996), 'Time to Pregnancy in Normal Fertility' (TTP: randomized trial, 2003-2006), and 'Creighton Model Effectiveness, Intentions, and Behaviors Assessment' (CEIBA: prospective cohort, 2009-2013). We evaluated cervical mucus patterns and estimated fertile window in 2488 ovulatory cycles of 528 women, followed for up to 1 year.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants were US or Canadian women age 18-40 years, not pregnant, and without any known subfertility. Women were trained to use a standardized protocol (the Creighton Model) for daily vulvar observation, description, and recording of cervical mucus. The mucus peak day (the last day of estrogenic quality mucus) was used as the estimated day of ovulation. We conducted dichotomous stratified analyses for cervical mucus patterns by age, parity, race, recent oral contraceptive use (within 60 days), partial breast feeding, alcohol, and smoking. Focusing on the clinical characteristics most correlated to cervical mucus patterns, linear mixed models were used to assess continuous cervical mucus parameters and generalized linear models using Poisson regression with robust variance were used to assess dichotomous outcomes, stratifying by women's parity and age, while adjusting for recent oral contraceptive use and breast feeding.

MAIN RESULTS AND THE ROLE OF CHANCE

The majority of women were <30 years of age (75.4%) (median 27; IQR 24-29), non-Hispanic white (88.1%), with high socioeconomic indicators, and nulliparous (70.8%). The mean (SD) days of estrogenic (peak type) mucus per cycle (a conservative indicator of the fertile window) was 6.4 (4.2) days (median 6; IQR 4-8). The mean (SD) number of any potentially fertile days (a broader clinical indicator of the fertile window) was 12.1 (5.4) days (median 11; IQR 9-14). Taking into account recent oral contraceptive use and breastfeeding, nulliparous women age ≥30 years compared to nulliparous women age <30 years had fewer mean days of peak type mucus per cycle (5.3 versus 6.4 days, P = 0.02), and fewer potentially fertile days (11.8 versus 13.9 days, P < 0.01). Compared to nulliparous women age <30 years, the likelihood of cycles with peak type mucus ≤2 days, potentially fertile days ≤9, and cervical mucus cycle score (for estrogenic quality of mucus) ≤5.0 were significantly higher among nulliparous women age ≥30 years, 1.90 (95% confidence interval (CI) 1.18, 3.06); 1.46 (95% CI 1.12, 1.91); and 1.45 (95% CI 1.03, 2.05), respectively. Between parous women, there was little difference in mucus parameters by age. Thresholds set a priori for within-woman variability of cervical mucus parameters by cycle were examined as follows: most minus fewest days of peak type mucus >3 days (exceeded by 72% of women), most minus fewest days of non-peak type mucus >4 days (exceeded by 54% of women), greatest minus least cervical mucus cycle score >4.0 (exceeded by 73% of women), and most minus fewest potentially fertile days >8 days (found in 50% of women). Race did not have any association with cervical mucus parameters. Recent oral contraceptive use was associated with reduced cervical mucus cycle score and partial breast feeding was associated with a higher number of days of mucus (both peak type and non-peak type), consistent with prior research. Among the women for whom data were available (CEIBA and TTP), alcohol and tobacco use had minimal impact on cervical mucus parameters.

LIMITATIONS, REASONS FOR CAUTION

We did not have data on some factors that may impact ovulation, hormone levels, and mucus secretion, such as physical activity and body mass index. We cannot exclude the possibility that some women had unknown subfertility or undiagnosed gynecologic disorders. Only 27 women were age 35 or older. Our study participants were geographically dispersed but relatively homogeneous with regard to race, ethnicity, income, and educational level, which may limit the generalizability of the findings.

WIDER IMPLICATIONS OF THE FINDINGS

Patterns of cervical mucus secretion observed by women are an indicator of fecundity and the fertile window that are consistent with the known associations of age and parity with fecundity. The number of potentially fertile days (12 days) is likely greater than commonly assumed, while the number of days of highly estrogenic mucus (and higher probability of pregnancy) correlates with prior identifications of the fertile window (6 days). There may be substantial variability in fecundability between cycles for the same woman. Future work can use cervical mucus secretion as an indicator of fecundity and should investigate the distribution of similar cycle parameters in women with various reproductive or gynecologic pathologies.

STUDY FUNDING/COMPETING INTEREST(S)

Funding for the three cohorts analyzed was provided by the Robert Wood Johnson Foundation (CMFS), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (TTP), and the Office of Family Planning, Office of Population Affairs, Health and Human Services (CEIBA). The authors declare that they have no conflict of interest.

TRIAL REGISTRATION NUMBER

N/A.

Complications related to in vitro reproductive techniques support the implementation of natural procreative technologies

Background and aim:

Infertility affects ~20% of the couples in the world. Assisted reproductive technologies (ARTs) are currently the most common treatment option for infertility. Nevertheless, ARTs may be associated with complications for mothers and/or offspring. Natural procreative technology (NaProTechnology) is a natural treatment which minimizes these risks by seeking to identify the causes of infertility to enable better treatments. This narrative review summarizes the complications related to ARTs and clarifies how the NaProTechnology approach can help ARTs to achieve better results or be used in alternative to ARTs.

Methods:

Data in the literature indicate that NaProTechnology is a natural approach for treating infertility.

Results:

The percentage of live births obtained by NaProTechnology is similar to that of ARTs.

Conclusions:

An extensive search for the genetic defects causing infertility or subfertility through genetic testing can help both ARTs and NaProTechnology to achieve successful pregnancies. By discovering the underlying causes of infertility, genetic tests enable better family counseling, like the implications of transmitting risk- and disease-alleles to future generations. (www.actabiomedica.it)

The Use of NFP When Pregnancy Is Contraindicated?

The Sacred Congregation for the Doctrine of the Faith has declared the moral liceity of hysterectomy when certain medical criteria are met but does not exclude other options, "for example, recourse to infertile periods or total abstinence." Consequently, there may be couples who prefer to use natural family planning (NFP) methods. We shall refer to these in this article. The efficacy of NFP methods is determined by knowing the day of ovulation. To that end, three parameters are used: the presence and consistency of cervical mucus, measurement of the basal body temperature, and the determination of particular hormones in urine. Of the NFP methods used, the so-called sympto-thermal method seems to be the most effective. It has been concluded that the postovulatory or luteal phase of the female menstrual cycle is the safest time to avoid pregnancy if the couple has sexual intercourse during this period. Nevertheless, the use of NFP methods has limitations if the length of the cycles varies, there are fluctuations in the basal temperature, or when there are vaginal infections. Urinary hormone levels can also be altered by the use of antibiotics or psychotropic drugs. In general, however, it can be concluded that NFP methods, if used in the conditions mentioned herein, offer a high degree of reliability, similar to that of artificial contraceptive methods. Accordingly, if pregnancy must be avoided in the medical circumstances to which the Congregation for the Doctrine of the Faith refers, NFP methods can effectively replace hysterectomy, thereby circumventing the medical difficulties of this practice.

Summary

The Sacred Congregation for the Doctrine of the Faith has declared the moral liceity of hysterectomy when certain medical criteria are met but does not exclude other options, "for example, recourse to infertile periods or total abstinence." Consequently, there may be couples who prefer to use natural family planning (NFP) methods. We shall refer to these in this article. In general, it can be concluded that NFP methods, if used in the conditions mentioned herein, offer a high degree of reliability, similar to that of artificial contraceptive methods. Accordingly, if pregnancy must be avoided in the medical circumstances to which the Congregation for the Doctrine of the Faith refers, NFP methods can effectively replace hysterectomy, thereby circumventing the medical difficulties of this practice.

The Identification of Postovulation Infertility with the Measurement of Early Luteal Phase (Peak Day +3) Progesterone Production

This study reports on 632 cycles from 105 women who were using the CREIGHTON MODEL FertilityCare™ System to avoid pregnancy and had either a serious reason to avoid pregnancy or some degree of a lack of confidence. A progesterone level was drawn on the third day after the Peak Day as they were charting, and if the progesterone level was 2.3 ng/mL or greater, then ovulation was determined to have passed. If the level was greater than 3.0 ng/mL, this indicated that an absolute period of infertility had begun. In these cases, no pregnancies were observed. In the 27 cycles in which a specific follow-up relative to pregnancy could not be definitively determined, the progesterone levels in all cases were 2.3 ng/mL or greater with 23 of the 27 cycles being 3.1 ng/mL or greater. It is highly unlikely that any of those became pregnant as well. These cycles were collected over thirteen years (2004-2016). Two case presentations are also a part of this article of two families in which the couples had very serious reasons to avoid pregnancy. In these two couples, each of the women was multi-gravid and had no evidence of subfertility or infertility. They used the family planning progesterone level (the Peak Day +3 progesterone level) for a total of 167 cycles over a number of years successfully without a subsequent pregnancy.

Summary

This article presents a thirteen-year effort to evaluate the serum progesterone level on the third day after the Peak Day as observed by women charting the CREIGHTON MODEL FertilityCare™ System. It is known that the Peak Day is associated with ovulation, and if the progesterone reaches a certain level, then an absolute period of infertility should follow. In fact, this is what this study reflects.

'Innate Nature' and 'Complete Nature': The Catholic Natural Family Planning Program and the Competition of Natural Methods in Mid-1970s Korea

This article reviews the competition of two natural family planning methods in the mid-1970s when the Catholic Natural Family Planning program was underway in Korea. The Catholic Church, emphasizing the natural law, has recommended Natural Family Planning (NFP), a method of regulating childbirth by abstinence during the fertile period, since the mid-twentieth century. However, a group of gynecologists working at St. Mary's Hospital, a Catholic general hospital in Korea, questioned the utility of NFP. As an alternative, they proposed the method of Ovulation Regulation (OR), which regulates the menstrual cycle by inducing ovulation with steroids agents. This seemed to be no different than contraception with oral contraceptives disapproved of by the Catholic Church, but many doctors who advocated OR thought that this could be a new 'natural' family planning method to replace NFP. What is noteworthy here is the fact that not only NFP advocates, but also OR advocates attempted to justify their methods based on the authority of the 'nature.' In the debate over natural family planning methods, nature's legitimacy was given premise, not the object of doubt. Rather, the issue was the definition of nature. First, 'nature' in NFP signifies 'innate nature,' which excludes human intervention. According to this point of view, OR with steroids agents could not be natural. On the contrary, a group of doctors who advocated OR considered nature 'primal completeness.' If the natural order of the menstrual cycle could be restored, the artificial intervention of the administration of steroids was not a problem. Thus, both groups defended their arguments by redefining nature, rather than raising an issue of nature itself. The competition between 'innate nature' and 'complete nature,' a proxy war between NFP and OR, resulted in the victory of the former as the meaning of nature became fixed. Advocates of NFP pointed out that OR inhibits other physiological functions in the process of inducing ovulation, suggesting that the idea of 'complete nature' could never be achieved. The meaning of nature could no longer be controversial. Since the intervention was unnatural, nature meant innateness, the absence of intervention. Accordingly, the Catholic Bishops of Korea approved the Billings Method, a kind of the NFP, as the official family planning method, and gynecologists at St. Mary's Hospital of Korea also focused on the development and supplementation of the Billings Method. In short, the debate over the methods of natural family planning in mid1970s Korea was a clash of 'innate nature' and 'complete nature.' As a result, this confirmed the limitations of medical practice and reconfirmed the power of magisterium, the church's authority over medical practice.

Comparison of woman-picked, expert-picked, and computer-picked Peak Day of cervical mucus with blinded urine luteinising hormone surge for concurrent identification of ovulation

BACKGROUND

Previous research has demonstrated that women instructed in fertility awareness methods can identify the Peak Day of cervical mucus discharge for each menstrual cycle, and the Peak Day has high agreement with other indicators of the day of ovulation. However, previous studies enrolled experienced users of fertility awareness methods or were not fully blinded.

OBJECTIVE

To assess the agreement between cervical mucus Peak Day identified by fertile women without prior experience on assessing cervical mucus discharge with the estimated day of ovulation (1 day after urine luteinising hormone surge).

METHODS

This study is a secondary analysis of data from a randomised trial of the Creighton Model FertilityCareTM System (CrM), conducted 2003-2006, for women trying to conceive. Women who had no prior experience tracking cervical mucus recorded vulvar observations daily using a standardised assessment of mucus characteristics for up to seven menstrual cycles. Four approaches were used to identify the Peak Day. The referent day was defined as one day after the first identified day of luteinising hormone (LH) surge in the urine, assessed blindly. The percentage of agreement between the Peak Day and the referent day of ovulation was calculated.

RESULTS

Fifty-seven women with 187 complete cycles were included. A Peak Day was identified in 117 (63%) cycles by women, 185 (99%) cycles by experts, and 187 (100%) by computer algorithm. The woman-picked Peak Day was the same as the referent day in 25% of 117 cycles, within ±1 day in 58% of cycles, ±2 days in 84%, ±3 days in 87%, and ±4 days in 92%. The ±1 day and ± 4 days' agreement was 50% and 90% for the expert-picked and 47% and 87% for the computer-picked Peak Day, respectively.

CONCLUSIONS

Women's daily tracking of cervical mucus is a low-cost alternative for identifying the estimated day of ovulation.

Assessing heterogeneity in menstrual cycles by means of a multilevel latent class approach

In this paper, we study the problem of heterogeneity in cervical mucus hydration at different times relative to the mucus peak both between cycles and women, specifying and estimating appropriate multilevel latent class models for longitudinal data. We estimate multilevel and growth latent class models which classify women on the basis of the evolution of cervical mucus characteristics observed over the fertile period of each menstrual cycle taking into account that we observe a different number of cycles per woman and correlation over time between consecutive observations. The effect of potential covariates on mucus evolution patterns is as well evaluated. Results confirm the existence of heterogeneity in mucus evolution between cycles and women. Moreover, an important significant effect of a woman's age is found.

Assessment of menstrual health status and evolution through mobile apps for fertility awareness

For most women of reproductive age, assessing menstrual health and fertility typically involves regular visits to a gynecologist or another clinician. While these evaluations provide critical information on an individual's reproductive health status, they typically rely on memory-based self-reports, and the results are rarely, if ever, assessed at the population level. In recent years, mobile apps for menstrual tracking have become very popular, allowing us to evaluate the reliability and tracking frequency of millions of self-observations, thereby providing an unparalleled view, both in detail and scale, on menstrual health and its evolution for large populations. In particular, the primary aim of this study was to describe the tracking behavior of the app users and their overall observation patterns in an effort to understand if they were consistent with previous small-scale medical studies. The secondary aim was to investigate whether their precision allowed the detection and estimation of ovulation timing, which is critical for reproductive and menstrual health. Retrospective self-observation data were acquired from two mobile apps dedicated to the application of the sympto-thermal fertility awareness method, resulting in a dataset of more than 30 million days of observations from over 2.7 million cycles for two hundred thousand users. The analysis of the data showed that up to 40% of the cycles in which users were seeking pregnancy had recordings every single day. With a modeling approach using Hidden Markov Models to describe the collected data and estimate ovulation timing, it was found that follicular phases average duration and range were larger than previously reported, with only 24% of ovulations occurring at cycle days 14 to 15, while the luteal phase duration and range were in line with previous reports, although short luteal phases (10 days or less) were more frequently observed (in up to 20% of cycles). The digital epidemiology approach presented here can help to lead to a better understanding of menstrual health and its connection to women's health overall, which has historically been severely understudied.

Response of One Man of Science to Humanae Vitae

The understanding of the full truth and beauty of the marital relationship has developed from a remedy for concupiscence (cf. 1 Cor 7:9) to "a sacrament of mutual sanctification and an act of worship" (St. John Paul II). With this development came a realization of the need to respond to the dilemma of couples who legitimately and responsibly wanted to avoid pregnancy but in fidelity to the Church's consistent teaching against contraception. In the middle of the last century, Dr. John Billings undertook to assist in the quest to find a reliable means of preventing pregnancy, which was in accord with natural moral law. He was aided in this quest by his wife Dr. Evelyn Billings and the many couples who contributed to the research. Their discovery formed the basis of all modern methods of natural family planning. "[T]he difference, both anthropological and moral, between contraception and recourse to the rhythm of the cycle…is a difference which is much wider and deeper than is usually thought.…The choice of the natural rhythms involves accepting the cycle…and thereby accepting dialogue, reciprocal respect, shared responsibility and self-control.…In this context the couple comes to experience how conjugal communion is enriched with those values of tenderness and affection which constitute the inner soul of human sexuality, in its physical dimension also". Nontechnical Summary: Pope Saint Paul VI's magnificent but much misunderstood encyclical "Humanae Vitae" called on men of science "to labour to explain more thoroughly the various conditions favouring a proper regulation of births." To doctors he asked that they "persevere in promoting on every occasion the discovery of solutions inspired by faith and right reason". Dr John Billings and his wife, Dr Evelyn Billings, devoted their lives to answering these calls which the Holy Father also made to them in person some years after he gave his encyclical to the Church.

[Natural Family Planning methods and Barrier: CNGOF Contraception Guidelines]

OBJECTIVE

To develop clinical practice recommendations for the use of natural contraception and female and male barrier methods.

MATERIALS AND METHODS

A systematic review of English and French literatures related to the safety and effectiveness of natural contraceptive methods based on PubMed, Cochrane Library, practice recommendations issued by international scientific societies and guidelines provided by the World Health Organization (WHO) as well as updates from the Center for Disease Control and Prevention (CDC).

RESULTS

Natural contraceptives methods include fertility awareness-based methods, lactational amenorrhea method (LAM) and withdrawal method. The prevalence is low (4.6% of users) and remains stable over the years. Identification of the fertile period can be symptom-based cervical mucus (Billings), two-day method, basal body temperature, symptom-thermal method or based on calendar calculation (Ogino-Knauss, standard day method). Pregnancy rate after one-year utilization varies from 0.4% to 5% in perfect use but 8% in common practice. Effectiveness increases with absence of vaginal sex and decreases when combined to barriers method inadequately implemented. Data is scarce on reliability and effectiveness of ovulation predictor kits readily available on internet. Lactational amenorrhea method (LAM) can be very effective (98%) provided three conditions are fulfilled: within 6 months after birth, amenorrhea is effective, and breastfeeding is exclusive or quasi exclusive (day/night). Withdrawal method is constraining and of limited effectiveness. Male and female condom, diaphragm, cervical cap and spermicides are mechanical and chemical barrier methods, preventing spermatozoids from passing through the cervix into the uterus and therefore preventing fecundation. Female and male condoms offer a double protection to avoid pregnancy and prevent STD's. They are effective provided strict conditions of use are fulfilled. Male condom is favored by teenagers (45.6% among 15 to 19 years old), sometimes in combination with contraceptive pill (16% of cases). Women on the pill decreases according to their age. Pregnancy rates within the first year of consistent and correct use of these methods vary between 5 to 26% and reach 20 to 32% in practical use. Diaphragm and cervical cap need to be used in combination with spermicides. Spermicides have limited effectiveness when used alone.

CONCLUSION

In common practice, natural and barrier contraceptive methods are more constraining and less effective than modern contraceptive method. They can be an alternative at given time and/or in situations where the women or the couple accept the possibility of an unexpected pregnancy which might be terminated or not. Women/couples need to be properly informed on how to use such methods, on their disadvantages and possible failures in common practice. Reminders are to be given on emergency contraceptive methods (IUD, hormonal) after unprotected sex.

Ovulation, a sign of health

The concept of the ovarian continuum can be understood as a process that occurs during a woman's lifetime and begins during intrauterine life with fertilization. Women start their reproductive years with approximately five hundred thousand follicles containing oocytes, of which only around five hundred will be released during ovulation. Ovulation has been recognized as an event linked with reproduction; however, recent evidence supports the role of ovulation as a sign of health. The use of biomarkers that help women recognize ovulation enables them to identify their health status. This knowledge helps medical healthcare providers in the prevention, diagnosis, and treatment of different pathologies related with endocrine disorders, gynecological abnormalities, autoimmune, genetic, and neoplastic diseases, as well as pregnancy-related issues. The knowledge of the ovarian continuum and the use of biomarkers to recognize ovulation should be considered a powerful tool for women and medical professionals.

Summary

The ovarian continuum is a process that occurs during a woman's lifetime. It begins during intrauterine life with fertilization and ends with menopause. This process can be greatly affected by different conditions such as changes in hormonal levels and illnesses. Therefore, understanding and promoting the knowledge and use of biomarkers of ovulation in women is a key aspect to consider when evaluating their health status. The knowledge and education about the ovarian continuum should be taken into account as a powerful tool for women and medical professionals.

Bayesian Inference on Predictors of Sex of the Baby

It is well known that the sex ratio at birth is a biological constant, being about 106 boys to 100 girls. However couples have always wanted to know and decide in advance the sex of a newborn. For example, a large number of papers appeared connecting biometrical variables, such as length of follicular phase in the woman menstrual cycle or timing of intercourse acts to the sex of new baby. In this paper, we propose a Bayesian model to validate some of these theories by using an independent database. Results show that we could not show an effect of the follicular length on the sex of the baby. We also obtain a slightly larger probability, although not significant, of conceiving a female just after the mucus peak day.

Monitoring of ovarian activity by measurement of urinary excretion rates using the Ovarian Monitor, Part IV: the relationship of the pregnanediol glucuronide threshold to basal body temperature and cervical mucus as markers for the beginning of the post-ovulatory infertile period

STUDY QUESTION

Do the basal body temperature (BBT) shift and the cervical mucus markers for the beginning of the post-ovulatory infertile phase (POIP) of a menstrual cycle agree with the corresponding urinary pregnanediol glucuronide (PdG) threshold value?

SUMMARY ANSWER

Perfect agreement between the cervical mucus markers and BBT shift and the hormonal definition of the start of post-ovulatory infertility occurred for only 7-17% of the cycles.

WHAT IS KNOWN ALREADY

The PdG threshold of 7.0 µmol/24 h is an objective and accurate marker for the beginning of the POIP. The rise in serum progesterone also produces the BBT shift and changes in cervical mucus which determine the mucus peak. Serum progesterone and urinary PdG are closely correlated when variations in urine volume are taken into account.

STUDY DESIGN, SIZE, DURATION

Individual menstrual cycle profiles of urinary PdG excretion rates for 91 fertile cycles from normally cycling women were analysed to identify the day of the beginning of the POIP. These days were compared with those determined by the day of the BBT shift +2 days, the day of the mucus peak +4 days and the later of these two indicators. The study lasted 3 years.

PARTICIPANTS/MATERIALS, SETTING, METHODS

A total of 62 women with normal menstrual cycles were recruited from three centres: Palmerston North, New Zealand; Sydney, Australia and Santiago, Chile. The cycles were displayed individually in a proprietary database program which recorded the PdG excretion rates, the BBT shift day and the cervical mucus peak day. A group of 15 women from a separate Chilean study had PdG urinary data measured as well as their day of ovulation determined by ultrasound.

MAIN RESULTS AND THE ROLE OF CHANCE

The BBT and cervical mucus markers differed significantly in their identification of the beginning of the POIP when compared with the PdG excretion rate of 7.0 µmol/24 h. The observation that the BBT shift day and the mucus peak day could be identified even though the PdG excretion rates were still at baseline levels in some cycles could lead to an unexpected pregnancy for women using these natural family planning (NFP) indicators.

LIMITATIONS, REASONS FOR CAUTION

The study consisted only of fertile cycles from women with regular cycles of 20-40 days duration. All the women were intending to avoid a pregnancy during the study, thus the limits of the fertile window were not tested.

WIDER IMPLICATIONS OF THE FINDINGS

The NFP signals occurring earlier than the PdG threshold day could lead to an unexpected pregnancy. The signals occurring on the same day or later than the PdG threshold would not lead to unexpected pregnancies, but would require extra abstinence that could lead to non-compliance with the NFP method. A possible improvement in reliability of NFP methods is suggested.

STUDY FUNDING/COMPETING INTERESTS

This study (project #90905) was funded by the NDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP). D.G.C. currently works for a diagnostic development company, Science Haven Ltd. The other authors have nothing to declare.

Basal Temperature Measurement Using a Multi-Sensor Armband in Australian Young Women: A Comparative Observational Study

BACKGROUND

The menstrual cycle is a key marker of health in women of reproductive age. Monitoring ovulation is useful in health studies involving young women. The upward shift in basal body temperature, which occurs shortly after ovulation and continues until the next menses, is a potentially useful marker of ovulation, which has been exploited in clinical and research settings.

OBJECTIVE

We investigated the utility of BodyMedia SenseWear (BMSW) in monitoring ovulation in young women by analyzing the correlation and agreement of basal temperatures measured using BMSW and a digital oral thermometer.

METHODS

Kappa statistics were used to determine the agreement in ovulation detection between the two devices, for each participant, under each form of analysis. Participants also completed an online questionnaire assessing the acceptability of both devices.

RESULTS

We recruited 16 participants with 15 of them providing analyzable data (11 OCP non-users, 4 OCP users). Weak to moderate correlations were observed between thermometer and BMSW temperature measurements averaged over 5 different time intervals. However, no agreement between methods was observed using Bland-Altman plots. There was a significant difference in the range of temperatures that each device recorded (thermometer: 35.3-37.2°C, BMSW: 29.7-36.7°C) with BMSW temperatures significantly lower than thermometer temperatures: mean 34.6°C (SD 1.2) versus 36.4°C (SD 0.3) respectively, P<.001. Poor agreement was observed between devices under quantitative analysis of ovulation while fair agreement was observed under visual analysis. Under both quantitative and visual analysis, there was 0% agreement for evidence of ovulation.

CONCLUSIONS

This study demonstrated the importance of evaluating biomeasures collected using mobile monitoring devices by comparison with standard methods. It revealed a relatively poor correlation between BMSW and oral thermometer temperature readings and suggested that BMSW is unlikely to detect an upward shift in basal body temperature. Participant behavior suggested poor compliance in the use of BMSW for basal temperature measurement and that the basal body temperature method may not be suitable for use in unselected samples of young women. There is a need for research tools for monitoring ovulation that are simple, self-administered, and inexpensive, yet appealing to young women.

Self-identification of the clinical fertile window and the ovulation period

OBJECTIVE

To assess the sensitivity and specificity of the self-identified fertile window.

DESIGN

Observational study.

SETTING

Not applicable.

PATIENT(S)

A total of 107 women.

INTERVENTION(S)

Women recorded cervical mucus observation and basal body temperature daily while undergoing daily ovarian ultrasound.

MAIN OUTCOME MEASURE(S)

The biological fertile window, defined as the 6 days up to and including the day of ovulation; and the 2-day ovulation window, defined as the day before and the day of ovulation.

RESULT(S)

The self-identification of the biological fertile window by the observation of any type of cervical mucus provides 100% sensitivity but poor specificity, yielding a clinical fertile window of 11 days. However, the identification of the biological fertile window by peak mucus (defined as clear, slippery, or stretchy mucus related to estrogen) yielded 96% sensitivity and improved specificity. The appearance of the peak mucus preceded the biological fertile window in less than 10% of the cycles. Likewise, this type of mucus identified the ovulation window with 88% sensitivity.

CONCLUSION(S)

These results suggest that, when perceived accurately, more accurate clinical self-detection of the fertile window can be obtained by identification of peak mucus. This may improve efforts to focus intercourse in the fertile phase for couples with fertility concerns.

Reclaiming fertility awareness methods to inform timed intercourse for HIV serodiscordant couples attempting to conceive

INTRODUCTION

Increased life expectancy of HIV-positive individuals during recent years has drawn attention to their quality of life, which includes fulfillment of fertility desires. In particular, heterosexual HIV serodiscordant couples constitute a special group for whom the balance between desired pregnancy and the risk of viral transmission should be carefully considered and optimized. Although advanced assisted reproductive technologies are available, such treatments are expensive and are often unavailable. Moreover, standard viral load testing and antiretroviral therapy may not be accessible due to structural or individual barriers. To reduce the risk of HIV transmission, a lower cost alternative is timed condomless sex combined with other risk-reduction strategies. However, timed condomless sex requires specific knowledge of how to accurately predict the fertile window in a menstrual cycle. The aim of this study was to summarize inexpensive fertility awareness methods (FAMs) that predict the fertile window and may be useful for counselling HIV-positive couples on lower cost options to conceive.

METHODS

Original English-language research articles were identified by a detailed Medline and Embase search in July 2014. Relevant citations in the included articles were also retrieved.

RESULTS AND DISCUSSION

Calendar method, basal body temperature and cervicovaginal mucus secretions are the most accessible and sensitive FAMs, although poor specificity precludes their independent use in ovulation detection. In contrast, urinary luteinizing hormone testing is highly specific but less sensitive, and more expensive. To maximize the chance of conception per cycle, the likelihood of natural conception needs to be assessed with a basic fertility evaluation of both partners and a combination of FAMs should be offered. Adherence to other risk-reduction strategies should also be advised, and timely referral to reproductive medicine specialists is necessary when sub/infertility is suspected.

CONCLUSIONS

FAMs provide effective, economical and accessible options for HIV serodiscordant couples to conceive while minimizing unnecessary viral exposure. It is important for health care providers to initiate conversations about fertility desires in HIV-positive couples and to educate identified couples on safer conception strategies.

Use of urinary pregnanediol 3-glucuronide to confirm ovulation

OBJECTIVE

Urinary hormonal markers may assist in increasing the efficacy of Fertility Awareness Based Methods (FABM). This study uses urinary pregnanediol-3a-glucuronide (PDG) testing to more accurately identify the infertile phase of the menstrual cycle in the setting of FABM.

METHODS

Secondary analysis of an observational and simulation study, multicentre, European study. The study includes 107 women and tracks daily first morning urine (FMU), observed the changes in cervical mucus discharge, and ultrasonography to identify the day of ovulation over 326 menstrual cycles. The following three scenarios were tested: (A) use of the daily pregnandiol-3a-glucuronide (PDG) test alone; (B) use of the PDG test after the first positive urine luteinizing hormone (LH) kit result; (C) use of the PDG test after the disappearance of fertile type mucus. Two models were used: (1) one day of PDG positivity; or (2) waiting for three days of PDG positivity before declaring infertility.

RESULTS

After the first positivity of a LH test or the end of fertile mucus, three consecutive days of PDG testing over a threshold of 5μg/mL resulted in a 100% specificity for ovulation confirmation. They were respectively associated an identification of an average of 6.1 and 7.6 recognized infertile days.

CONCLUSIONS

The results demonstrate a clinical scenario with 100% specificity for ovulation confirmation and provide the theoretical background for a future development of a competitive lateral flow assay for the detection of PDG in the urine.

Relationships between the luteinizing hormone surge and other characteristics of the menstrual cycle in normally ovulating women

OBJECTIVE

To describe the LH surge variants in ovulating women and analyze their relationship with the day of ovulation and other hormone levels.

DESIGN

Secondary analysis of a prospective cohort observational study.

SETTING

Eight natural family planning clinics.

SUBJECTS

Normally fertile women (n = 107) over 283 cycles.

INTERVENTION(S)

Women collected daily first morning urine, charted basal body temperature and cervical mucus discharge, and underwent serial ovarian ultrasound.

MAIN OUTCOME MEASURE(S)

Urinary LH, FSH, estrone-3-glucuronide (E3G), pregnanediol-3α-glucuronide (PDG), and day of ovulation by ultrasound (US-DO).

RESULT(S)

Individual LH surges were extremely variable in configuration, amplitude, and duration. The study also showed that LH surges marked by several peaks were associated with statistically significant smaller follicle sizes before rupture and lower LH level on the day of ovulation. LH surges lasting >3 days after ovulation were associated with a lower E3G before ovulation, a smaller corpus luteum 2 days after ovulation, and a lower PDG value during the first 4 days after ovulation.

CONCLUSION(S)

In clinical practice, LH profiles should be compared with the range of profiles observed in normally fertile cycles, not with the mean profile.

State-of-the-art of non-hormonal methods of contraception: IV. Natural family planning

Despite the popularity of 'modern' contraceptives, natural family planning (NFP), including fertility awareness-based (FAB) methods and withdrawal, are practised in most countries. Worldwide FAB methods and withdrawal are used, respectively, by about 3.6% and 2.9% of all couples of reproductive age. This article describes the underpinnings of the different NFP methods, their rationales, histories, rules for use, efficacy and in broad categories their prevalence. Pregnancy rates of FAB methods with perfect use have ranged between 0.3 and 5.0 per 100 users per year, but typical use rates rises into the teens or higher. Withdrawal requires the male partner to be aware of his impending climax and to pull out of the vagina before ejaculation. Perfect use and typical pregnancy rates for withdrawal are estimated to be 4 and 27 per 100 per year, respectively. Many couples find NFP in accord with their own beliefs, satisfactory in its effectiveness and useful in planning a desired pregnancy. Many prize their self-control in practising NFP or withdrawal. In our research we used Medline, Popline and the Cochrane Library search engines in English, local institutional libraries, our own files in our native languages, the literature references contained therein, and source recommendations from colleagues.

The Fertile Window and Biomarkers: A Review and Analysis of Normal Ovulation Cycles

El objetivo de este artículo es revisar los principales conceptos en la literatura acerca de la ventana de la fertilidad en pacientes con ciclos menstruales normales. El énfasis principal del artículo se ha dirigido al análisis de la teoría de Brown de la ovulación, revisar conceptos básicos de la ovulación, secreción y metabolismo de la hormona folículo estimulante, y al estudio clínico, ecográfico y bioquímicos del desarrollo folicular de la ventana de la fertilidad. Este artículo también repasa los biomarcadores clínicos y los diferentes metabolitos endocrinos que delimitan en la fase fértil del ciclo. Se revisan diferentes estudios en los cuales las valoraciones en suero y orina de los esteroides sexuales, han corroborado tener una correlación directa para enmarcar el período fértil. Actualmente tienen relevancia estos conocimientos en diferentes grupos de interés, sobre todo en mujeres con un alto nivel de motivación interesadas en el reconocimiento de su fertilidad, las cuales pueden beneficiarse mediante la aplicación de conocimientos técnicos actuales que detectan la ventana fértil. También estos conocimientos suelen cobrar importancia en aquellas personas que pertenecen a programas de regulación de la fertilidad (PRF), con intención de distanciar un embarazo, o de reconocer el periodo fértil del ciclo para conseguir un embarazo espontáneamente, o mediante programas de NaProTecnología. Otros grupos de interés, son aquellos en los cuales no se tiene experiencia en cursos de PRF, pero desean mejorar sus conocimientos en el reconocimiento de la fertilidad por medio de una breve entrevista, o por medio de cursos de orientación familiar.

Types of ovarian activity in women and their significance: the continuum (a reinterpretation of early findings)

BACKGROUND

There are many types of ovarian activity that occur in women. This review provides information on the relationship between the hormone values and the degree of biological response to the hormones including the frequency and degree of uterine bleeding. The continuous process is termed the ‘Continuum’ and is thus similar to other processes in the body.

METHODS

This review draws on information already published from monitoring ovarian activity by urinary oestrogen and pregnanediol measurements using timed 24-h specimens of urine. Much of the rationalization was derived from 5 to 6 year studies of girls progressing from childhood to adulthood, women progressing through menopause, and the return of fertility post-partum. During these times, all the reported types of ovarian activity were encountered.

RESULTS

All cycle types can be understood in terms of steps in the normal maturation of fertility at the beginning of reproductive life, its return post-partum and its demise at menopause. Each step merges into the next and therefore the sequence is termed the ‘Continuum’. Unpredictable movement from fertile to infertile types and back can occur at any time during reproductive life. Stress is a major causative factor. Hormonal definitions for each step, the relevance of the various cycle types in determining fertility and in the initiation of uterine bleeding and the roles of the pituitary hormones in causing them, are presented.

CONCLUSIONS

The findings explain the erratic fertility of women and why ovulation is not always associated with fertility. They provide an understanding of the various types of ovarian activity and their relation to pituitary function, fertility and uterine bleeding.

The Prevalence of Mucous Discharge as a Symptom of Ovulation

The prevalence of vaginal mucus at the time of ovulation was recorded by 166 women in 1800 cycles along with their basal body temperature (BBT). Seventy-five per cent of women observed mucus in every cycle, 21% in some cycles only and 4% never saw mucus. Three women conceived in cycles in which there was no mucus. The time of first appearance of mucus has been related to cycle length and to the time of rise in BBT. The implications of these findings for the use of the mucous method of avoiding conception is discussed.

Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus

OBJECTIVE

To find optimal clinical rules that maximize the probability of conception while limiting the number of intercourse days required.

DESIGN

Multicenter prospective study. Women were followed prospectively while they kept daily records of menstrual bleeding, intercourse, and mucus symptom characteristics. In some cycles, women sought to conceive, whereas in other cycles, they sought to avoid pregnancy.

SETTING

Four centers providing services on fertility awareness.

PATIENT(S)

One hundred ninety-one healthy women using the Billings Ovulation Method. Women were invited to enroll by their instructors if they satisfied the entry criteria. We excluded cycles in which mucus was not recorded on a day with intercourse.

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

Clinically identified pregnancies. There were 161 clinically identified pregnancies in 2,536 menstrual cycles from 191 women.

RESULT(S)

Our approach relies on a statistical model that relates daily predictors, such as type of mucus symptom, to the day-specific probabilities of conception. By using Bayesian methods to search over a large set of possible clinical rules, focusing on rules based on calendar and mucus, we found that simple rules that are based on days within the midcycle calendar interval that also have the most fertile-type mucus symptom present have high utility.

CONCLUSION(S)

Couples can shorten their time to pregnancy efficiently by timing intercourse on days that the most fertile-type mucus symptom is observed at the vulva.

Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy

With societal trends towards increasing age at starting a pregnancy attempt, many women are concerned about achieving conception before the onset of infertility, which precedes menopause. Couples failing to conceive a pregnancy within 12 months are classified as clinically infertile, and may be recommended for assisted reproductive therapy (ART). Because many ART procedures are expensive and may convey an increased risk of adverse outcomes for the offspring, it is advantageous to decrease time to pregnancy by natural methods. One possibility is to intentionally time intercourse during the days of the menstrual cycle having the highest conception probabilities. This article proposes a Bayesian decision theoretic approach for searching for optimal rules for timing intercourse based on cycle day, secretions and other information. Good rules result in high conception probabilities while requiring minimal targeted intercourse. A biologically based statistical model is used to relate cycle day and biomarkers to the conception probability. A stochastic search procedure is then developed to search for rules with high expected utility, and the methods are applied to data from a recent Italian study.

The length of the fertile window is associated with the chance of spontaneously conceiving an ongoing pregnancy in subfertile couples

BACKGROUND

The period in each menstrual cycle during which sexual intercourse can result in conception is called the "fertile window". Although the fertile window closes on the day of ovulation, little is known about the moment it opens. We defined the first day of normal sperm-mucus interaction as the opening of the fertile window. We hypothesized that length of the fertile window varies between couples and that the number of days the fertile window is "open" is related to the time to spontaneous conception. METHODS Serial post-coital tests and sperm-mucus penetration tests were performed to detect the first normal sperm-mucus interaction day. Ovulation was confirmed by serial ultrasound. Using Cox' regression analysis, we determined whether the fertile window length was associated with time to ongoing pregnancy. This association was expressed in fecundability ratios (FR). RESULTS The fertile window length was determined in 410 subfertile couples. The fertile window length varied among couples from <1 to >5 days. The FR increased with increasing fertile window length and varied between 0.11 (95% CI: 0.03-0.45) for a fertile window of 1 day, to 2.4 (95% CI: 1.1-5.2) for a fertile window of 5 days or more. CONCLUSIONS The longer the fertile window in subfertile couples, the higher is the probability of spontaneously conceiving an ongoing pregnancy.

Biomarkers of ovulation, endometrial receptivity, fertilisation, implantation and early pregnancy progression

Increasing interest in early preconception and periconception exposures and human developmental outcomes has led to studies that monitor subjects from before conception to gestation, birth and childhood. Monitoring ovulation, endometrial receptivity, fertilisation, implantation and gestation requires the non-invasive collection of biological information and samples, and the measurement of biochemical and biological markers (biomarkers) that are associated with the aforementioned physiological events. This paper describes some of the key features of biomarkers needed for epidemiological studies, identifies some existing and potential biomarkers and available measurement devices, and suggests some directions for identification and development of new biomarkers that might be employed in longitudinal studies involving the analysis of female reproductive function and of embryonic development.

Bayesian selection of predictors of conception probabilities across the menstrual cycle

There is increasing interest in identifying predictors of human fertility, including environmental exposures, behavioural factors, and biomarkers, such as mucus or reproductive hormones. Epidemiological studies typically measure fecundability, the per menstrual cycle probability of conception, using time to pregnancy data. A critical predictor, which is often ignored in the design or analysis, is the timing of non-contracepting intercourse in the menstrual cycle. In order to limit confounding by behavioural differences between exposure groups, it may be preferable to base inferences on day-specific conception probabilities in relation to intercourse timing. This article proposes Bayesian methods for selection of predictors of day-specific conception probabilities. A particular focus is the case in which data on ovulation timing are not available. We focus on the selection of fertile days in the cycle during which conception probabilities are non-negligible and predictors may play a role. Data from recent European and Italian prospective studies of daily fecundability are presented, and the proposed approach is used to estimate cervical mucus effects within a mid-cycle potentially fertile window using data from the Italian study.

Estimation of the day-specific probabilities of conception: current state of the knowledge and the relevance for epidemiological research

Conception, as defined by the fertilisation of an ovum by a sperm, marks the beginning of human development. Currently, a biomarker of conception is not available; as conception occurs shortly after ovulation, the latter can be used as a proxy for the time of conception. In the absence of serial ultrasound examinations, ovulation cannot be readily visualised leaving researchers to rely on proxy measures of ovulation that are subject to error. The most commonly used proxy measures include: charting basal body temperature, monitoring cervical mucus, and measuring urinary metabolites of oestradiol and luteinising hormone. Establishing the timing of the ovulation and the fertile window has practical utility in that it will assist couples in appropriately timing intercourse to achieve or avoid pregnancy. Identifying the likely day of conception is clinically relevant because it has the potential to facilitate more accurate pregnancy dating, thereby reducing the iatrogenic risks associated with uncertain gestation. Using data from prospective studies of couples attempting to conceive, several researchers have developed models for estimating the day-specific probabilities of conception. Elucidating these will allow researchers to more accurately estimate the day of conception, thus spawning research initiatives that will expand our current limited knowledge about the effect of exposures at critical periconceptional windows. While basal body temperature charting and cervical mucus monitoring have been used with success in field-based studies for many years, recent advances in science and technology have made it possible for women to get instant feedback regarding their daily fertility status by monitoring urinary metabolites of reproductive hormones in the privacy of their own homes. Not only are innovations such as luteinising hormone test kits and digital fertility monitors likely to increase study compliance and participation rates, they provide valuable prospective data that can be used in epidemiological research. Although we have made great strides in estimating the timing and length of the fertile window, more work is needed to elucidate the day-specific probabilities of conception using proxy measures of ovulation that are inherently subject to error. Modelling approaches that incorporate the use of multiple markers of ovulation offer great promise to fill these important data gaps.

Usefulness of monitoring fertility from menarche

The concept of the ovarian cycle as a continuum considers that all types of ovarian activity encountered during the reproductive life are responses to different environmental conditions in order to ensure the health of the woman. During the normal ovulatory cycle, a series of sequential events have to occur in a highly synchronized manner. Fertility awareness is useful in helping women to identify the different stages of their reproductive life cycle. Fertility awareness is also a valuable tool in helping women to identify gynecological disorders. Persistence of irregularities within the mucus patterns and the menstrual cycle should be of concern to women presenting with these problems. These irregularities may be due to obstetrical, endocrine, gynecological or iatrogenic disorders. Insight into early pregnancy complications, ovulatory dysfunction and pelvic inflammatory disease can be ascertained from abnormalities within the menstrual cycle and mucus pattern. Thus, fertility awareness will also enable the recognition and early treatment of several metabolic, endocrine and infectious diseases.

Cervical mucus secretions on the day of intercourse: An accurate marker of highly fertile days

OBJECTIVE

To provide estimates of the probabilities of conception according to vulvar mucus observations classified by the woman on the day of intercourse.

STUDY DESIGN

Prospective cohort study of 193 outwardly healthy Italian women using the Billings Ovulation Method. Outcome measures include 161 conception cycles and 2594 non-conception cycles with daily records of the type of mucus and the occurrences of sexual intercourse.

RESULTS

The probability of conception ranged from 0.003 for days with no noticeable secretions to 0.29 for days with most fertile-type mucus detected by the woman. The probability of most fertile type mucus by day of the menstrual cycle increased from values <20% outside of days 10-17 to a peak of 59% on day 13.

CONCLUSION

Regardless of the timing of intercourse in the menstrual cycle, the probability of conception is essentially 0 on days with no secretions. This probability increases dramatically to near 30% on days with most fertile-type mucus, an association that accurately predicts both the timing of the fertile interval and the day-specific conception probabilities across the menstrual cycle.

Bayesian inferences on predictors of conception probabilities

Reproductive scientists and couples attempting pregnancy are interested in identifying predictors of the day-specific probabilities of conception in relation to the timing of a single intercourse act. Because most menstrual cycles have multiple days of intercourse, the occurrence of conception represents the aggregation across Bernoulli trials for each intercourse day. Because of this data structure and dependency among the multiple cycles from a woman, implementing analyses has proven challenging. This article proposes a Bayesian approach based on a generalization of the Barrett and Marshall model to incorporate a woman-specific frailty and day-specific covariates. The model results in a simple closed form expression for the marginal probability of conception, and has an auxiliary variables formulation that facilitates efficient posterior computation. Although motivated by fecundability studies, the approach can be used for efficient variable selection and model averaging in general applications with categorical or discrete event time data.

Validating signals of ovulation: Do women who think they know, really know?

This study was carried out to test whether women who think they know when they ovulate, really know. Fifty-three women of age 18.7 to 46.1 (mean age 28.4 years) participated in initial interviews about ovulation. Criteria for recruitment included perceived ovulation, regular menstrual cycles, and not using hormonal contraception. Women collected and refrigerated urine samples from day 5 until they thought they ovulated. Samples collected within 48 h of the perceived signal were then tested for a pre-ovulatory LH surge. Of the 53 original participants, 36 women provided urine samples for 1-6 cycles, so that 87 cycles were tested. Subjective signals of ovulation varied between women and between cycles but included abdominal pain and changes in cervical discharge, libido, and mood. Of the 87 cycles tested, during which women identified one or multiple signals of ovulation, 37 of the 87 urine specimens tested positive for an LH surge for a concordance rate of 42.5%. Using the first tested cycle from the 36 women who provided urine specimens, 13 of those specimens demonstrated an LH surge, for a concordance rate of 36.1%. That rate dropped to 28% (7/25) when women who used basal body temperature as an ovulatory signal were excluded. Finally, the mean level of accuracy among the 15 women who contributed 3-6 urine specimens for testing was 48.9%. The results of this study demonstrate a low degree of concordance between LH surge and perceived ovulation among women who think they know when they ovulate. The most motivated study participants were right about half of the time. Although there is variation among women in their ability to know when they ovulate, this study suggests that, for most women, ovulation is concealed.