Validity of Self-Reported Menstrual Cycle Length

Small, Chanley M.; Manatunga, Amita K.; Marcus, Michele

doi:10.1016/j.annepidem.2006.05.005

Cited by 137 publications

(101 citation statements)

References 30 publications

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“…Validation studies have found mean prospective cycle lengths to be longer (53) and more dispersed than the self-reported lengths, particularly in women under the age of 30 (54). Although all the women in our sample were more than 30 years of age when reporting cycle length, some misclassification may have occurred.…”

Section: Discussionmentioning

confidence: 50%

A longitudinal study of physical activity and menstrual cycle characteristics in healthy Norwegian women – The Nord-Trøndelag Health Study

Guðmundsdóttir¹,

Flanders²,

Augestad³

2011

Nor J Epidemiol

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Background: Long menstrual cycles have been associated with anovulation, infertility and spontaneous abortion. Elite athletes have been found at risk of menstrual dysfunction. We evaluated the longitudinal association between leisure time physical activity (LTPA) and menstrual function in healthy non-athletic women. Methods: A population-based health survey (HUNT 1) was conducted during [1984][1985][1986] in Nord-Trøndelag county, Norway, with follow-up in 1995-1997 (HUNT 2). The current study included 3,097 women, <45 years old in HUNT 2. LTPA was assessed by questionnaire in HUNT 1, and menstrual function by questionnaire in HUNT 2. Data focused on overall occurrence of menstrual disorders in the population. Results were adjusted for age, education, psychological health, smoking and alcohol intake. Additional analyses included BMI as a potential confounder. Results: The median cycle length was 30 days and median number of days bleeding was 5. In women with normal cycle length, mean (SD) cycle length and duration of bleeding was 29.3 (2.8) and 5.6 (1.7) respectively. Cycle length increased with higher frequency of LTPA for women >25 years old. Women, 20-25 years old at baseline who were active most days had increased odds of short cycles, more bleeding days and increased odds of having irregular cycles, OR=4.7; 95% CI = 1.2-18.0). Number of bleeding days decreased with longer duration (p<0.05) and higher intensity (p=0.065) in young women. Adjustment for BMI did not affect the results. Conclusion: Leisure time physical activity may affect menstrual function, although in our study, the results were modified by age.

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Section: Discussionmentioning

confidence: 50%

A longitudinal study of physical activity and menstrual cycle characteristics in healthy Norwegian women – The Nord-Trøndelag Health Study

Guðmundsdóttir¹,

Flanders²,

Augestad³

2011

Nor J Epidemiol

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“…Finally, there is measurement error due to imperfect recall. Self-reports may be inaccurate (Small, Manatunga, and Marcus, 2007) and this inaccuracy may depend on the day of the menstrual cycle. Menstruating women usually know that they are menstruating while later in the cycle women may not remember exactly their first day of their menstrual cycle.…”

Section: Menstrual Cyclementioning

confidence: 99%

Sex Hormones and Choice under Risk

Schipper

2012

SSRN Journal

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We study the correlation of choice under risk in Holt-Laury lotteries for gains and losses with gender, the use of hormonal contraceptives, menstrual cycle information, salivary testosterone, estradiol, progesterone, and cortisol as well as the digit ratio (2D:4D) in more than 200 subjects. In males, salivary testosterone is negatively correlated with risk aversion for gains only. In females, salivary cortisol is positively correlated with risk aversion for gains only. No other significant correlations between risk preferences and salivary hormones are observed. No significant correlations between risk preferences and the menstrual cycle are observed in naturally cycling females. No significant correlations between risk preferences and the digit ratio are observed in either gender and/or race. Females who use hormonal contraceptives are more likely to make "consistent" choices although this may be due to a selection effect. Risk aversion is positively correlated with being female for losses only.

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“…Other studies have attempted to time specimen collection to key hormonal events based on self-reported cycle length or cycle day or the assumption that the luteal phase is 14 days [23][24][25], but these methods assume that women can reliably report their cycle length or that the timing of hormonal fluctuations is the same across women, both of which are unlikely to be true [26][27][28][29][30]. The 'gold standard' is daily collection of first-morning urine specimens, which ensures that critical hormone windows are captured if compliance is adequate, but the protocol is burdensome, which affects recruitment and compliance.…”

Section: Introductionmentioning

confidence: 99%

Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature

Regidor¹,

Kaczmarczyk

Schiweck

et al. 2017

Gynecological Endocrinology

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(2018) Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature, Gynecological Endocrinology, 34:3, 256-260, DOI: 10.1080/09513590.2017 Fertility awareness-based (FAB) methods represent a term that includes all family planning methods that are based on the identification of the fertile window. They are based on the woman's observation of physiological signs of the fertile and infertile phases of the menstrual cycle. The first approach consists basically in symptothermal methods accompanied by cervical mucus measurements and clinical menstrual cycling data recording. The second most often used methods are the urinary measurement of E3G and luteinizing hormone (LH) with a personalized computer system. Hence these systems lack the efficacy of the continuous circadian and circamensual measurement of the core body temperature. Only this approach enables the accurate detection of the ovulation during the fertile window. A new medical device called OvulaRing has been developed to fill this gap. In the present study, the system and its first clinical results are presented. OvulaRing is a medical device used just like a tampon. The device is a vaginal ring of evatane that contains an integrated biosensor. This sensor measures continuously every 5 min the core body temperature throughout the entire cycle. This device allows a circadian and circamensual intravaginal exact measurement. With this system, 288 measurements are created per day. The system can detect retrospectively and predict prospectively the fertile window of the users. One hundred and fifty eight women aged between 18 and 45 years used this medical device in an open non-randomized clinical study for 15 months. A total of 470 cycles could be recorded and were able for analysis. By the same time in a subgroup of patients, hormonal assessments of LH, follicle-stimulating hormone, estradiol and progesterone as well as vaginal ultrasound were performed in parallel between the 9th and the 36th day of the cycle. The validation error due to software errors was 0.89% for the retrospective analysis; that means that the accuracy for the detection of the ovulation was 99.11%. Accuracy of 88.8% for a window of 3 days before ovulation, the day of ovulation and the 3 days after ovulation was achieved for the prospective analysis. In the subgroup of woman with recorded pregnancies, it could be shown that after 3.79 months of use (median) pregnancies were observed. In 67.72% in up to 3 months, in 16.36% between 3 and 6 months of use, in 7.27% between 7 and 9 months, in 5.45% between 10 and 12 months and in 1.82% between 13 and 15 months of use of the system. With this new web-based system, a precise determination of the fertile window even in women with ultralong cycles (>35 days) could be detected independently of their personal live circumstances. Exact determination of the fertile window is herewith possible so that OvulaRing represents an evolut...

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Validity of Self-Reported Menstrual Cycle Length

Cited by 137 publications

References 30 publications

A longitudinal study of physical activity and menstrual cycle characteristics in healthy Norwegian women – The Nord-Trøndelag Health Study

A longitudinal study of physical activity and menstrual cycle characteristics in healthy Norwegian women – The Nord-Trøndelag Health Study

Sex Hormones and Choice under Risk

Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature

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