Four points on the basal body temperatures (BBT) curve have been correlated with the estimated time of ovulation (ETO), as determined by indirect hormonal parameters, in 74 menstrual cycles from 24 subjects. Only 10 of 66 hormonally
basal body temperature estimated time of ovulation, Hilgers Bailey BBT ovulation natural family planning, basal body temperature curve hormonal parameters ovulation, BBT shift correlation with hormonal ovulation markers, natural family planning basal temperature method accuracy, temperature rise ovulation detection menstrual cycle, indirect hormonal parameters ovulation timing BBT, basal body temperature reliability ovulation prediction, thermal shift ovulation day estimation fertility awareness, BBT four reference points ovulation correlation
PMID 7360431 7360431 DOI 10.1097/00006250-198003000-00013 10.1097/00006250-198003000-00013 Hilgers et al. 1980, Hilgers 1980
Cite this article
Hilgers, T. W., & Bailey, A. J. (1980). Natural family planning. II. Basal body temperature and estimated time of ovulation. Obstetrics and gynecology, 55(3), 333-339. https://doi.org/10.1097/00006250-198003000-00013
Hilgers TW, Bailey AJ. Natural family planning. II. Basal body temperature and estimated time of ovulation. Obstet Gynecol. 1980;55(3):333-339. doi:10.1097/00006250-198003000-00013
Hilgers, T. W., and A. J. Bailey. "Natural family planning. II. Basal body temperature and estimated time of ovulation." Obstetrics and gynecology, vol. 55, no. 3, 1980, pp. 333-339.
An affordable, user-friendly fertility-monitoring tool remains an unmet need. We examine in this study the correlation between pulse rate (PR) and the menstrual phases using wrist-worn PR sensors. 91 healthy, non-pregnant women, between 22-42 years old, were recruited for a prospective-observational clinical trial. Participants measured PR during sleep using wrist-worn bracelets with photoplethysmographic sensors. Ovulation day was estimated with "Clearblue Digital-Ovulation-urine test". Potential behavioral and nutritional confounders were collected daily. 274 ovulatory cycles were recorded from 91 eligible women, with a mean cycle length of 27.3 days (±2.7). We observed a significant increase in PR during the fertile window compared to the menstrual phase (2.1 beat-per-minute, p < 0.01). Moreover, PR during the mid-luteal phase was also significantly elevated compared to the fertile window (1.8 beat-per-minute, p < 0.01), and the menstrual phase (3.8 beat-per-minute, p < 0.01). PR increase in the ovulatory and mid-luteal phase was robust to adjustment for the collected confounders. There is a significant increase of the fertile-window PR (collected during sleep) compared to the menstrual phase. The aforementioned association was robust to the inter- and intra-person variability of menstrual-cycle length, behavioral, and nutritional profiles. Hence, PR monitoring using wearable sensors could be used as one parameter within a multi-parameter fertility awareness-based method.
This multicenter study has produced a database of 7017 menstrual cycles contributed by 881 women. It provides improved knowledge on length and location of the "fertile window" (identified as of up to 12 days duration) and the patterns and level of daily conception probability. The day of ovulation was identified in each cycle from records of basal body temperature and mucus symptoms. By referencing days of intercourse to the surrogate ovulation markers, estimates of daily fecundability were computed either directly or by the Scwartz model, both for single and multiple acts of intercourse in the fertile window. The relationship between coital pattern and fecundability has been explored. Univariate analysis underlines the significant link with fecundability only of the woman's reproductive history.
Dating of maturity of the endometrium by histologic examination was correlated with four methods of ovulation detection in 13 cycling parous women. Histologic dating was assessed independently by two pathologists and correlated with the postovulatory duration as determined by daily transvaginal ultrasound scanning, serum LH measurements, basal body temperature (BBT), and subtraction of 14 days from the onset of menses. In addition, progesterone and estradiol (E2) were measured in daily serum samples. Dating of the endometrial biopsy was highly correlated (P less than .002) with the day of ovulation as determined by ultrasound, and was found to be within 2 days of the correct postovulatory day on evaluation of 25 of 26 (96.1%) of the interpretations. The accuracy of dating using the LH surge was 84.6% (22 of 26 interpretations), and with the BBT thermogenic shift was 76.9% (20 of 26 interpretations). However, dating of the endometrium was within 2 days of the correct day in only 17 of the 26 interpretations as determined by subtracting 14 days from the onset of the subsequent menses. The accuracy of dating was significantly better correlated (P less than .025) with days from ovulation as determined by ultrasound than as calculated from the onset of menses. There was a significant correlation between endometrial dating and the amount of progesterone (P less than .01) and E2 (P less than .01) secreted from the day of ovulation, as determined by transvaginal ultrasound, to the day of biopsy. These data confirm a strong correlation between endometrial dating and ovarian hormone secretion during the postovulatory phase.(ABSTRACT TRUNCATED AT 250 WORDS)