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Menstrual Cycle Tracking
Your cycle is a vital sign, the same as pulse or blood pressure, because it reads out the brain, thyroid, adrenals, and ovaries at once. Most women log nothing and fly blind, or treat it as a fertility calendar and stop there. A minute a day in any app, and within a few months your body can tell you whether the periods are normal, whether the mood pattern is real, and whether something is going quietly wrong years before labs catch it.
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A normal adult cycle is 24 to 38 days, bleeding eight days or fewer 1. The 28-day textbook number is a population average, not a target; real cycles average about 29 days and vary widely, month to month 2. Ovulation can land anywhere from cycle day 8 to day 25 in a cycle that looks perfectly regular 3.

The cycle is upstream of the labs. Chronically long or irregular cycles carry roughly twice the type 2 diabetes risk, independent of weight 4, and 30 to 40% higher risk of premature death, mostly cardiovascular 5. Fasting glucose flags it only years later.

For severe premenstrual mood and heavy bleeding, the log is the diagnostic instrument. Diagnosing PMDD requires two cycles of daily ratings, because memory is too biased by today's mood 6. Heavy bleeding has a threshold: soaking hourly, clots bigger than a quarter, periods past eight days 7. Most women never know they meet it, and the hidden cost is iron-deficiency anaemia.

For endometriosis, the diagnosis lags six to seven years behind the first symptom, mostly because cyclic pain gets normalised 8. Writing it down breaks that.

Open an app tonight and mark the first day of red bleeding. The first three cycles just describe you; from the fourth, your own pattern surfaces.

To time conception or avoid pregnancy without hormones, add a real ovulation signal: morning basal temperature (a $10 thermometer catches the 0.3 ยฐC rise), cervical fluid, or LH strips. For contraception, combine two; one alone is calendar-grade and five times weaker 10.

How it pays off, over time.

  • Cycle three: a baseline. Your "irregular" periods are either that or inside the normal band, and the mood crash either lines up with the luteal phase or it doesn't 1.
  • Six months: the heavy-bleeding question is settled with a number a clinician acts on 7, and any fertile window has stabilised 3.
  • One year: the appointment is a graph, holding the two cycles a diagnosis needs 6.
  • Five years: a long irregular run, the first sign of insulin resistance, is visible in a way memory never made it 4.
The fine print โ€” when to skip it, and what people get wrong

Fertility awareness is the wrong sole contraception if pregnancy would be a disaster: typical-use failure is about 7 in 100 a year 11 versus 1 in 200 for an IUD 12. On hormonal birth control, postpartum, or breastfeeding, the signal is unreliable. Where abortion is criminalised, cycle data has been subpoenaed; use a local-only or encrypted app.

"Ovulation is day 14" assumes a textbook 28-day cycle; real ones ovulate day 8 to 25 3. Calendar-only apps just subtract 14 from an average, wrong by around 25%, so timing needs a real biomarker 10.

An empty dashboard reads "regular" when cycles have actually stopped from undereating, overtraining, or stress; three months of silence is a workup and a warning of bone and fertility loss 13. A log that never reaches a clinician captures the signal without acting on it 9.

References
  1. 1Munro MG, Critchley HOD, Fraser IS (2018). The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions. International Journal of Gynecology & Obstetrics. link
  2. 2Bull JR et al. (2019). Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. npj Digital Medicine. link
  3. 3Wilcox AJ, Weinberg CR, Baird DD (1995). Timing of sexual intercourse in relation to ovulation: effects on the probability of conception, survival of the pregnancy, and sex of the baby. New England Journal of Medicine. link
  4. 4Solomon CG et al. (2001). Long or highly irregular menstrual cycles as a marker for risk of type 2 diabetes mellitus. JAMA. link
  5. 5Wang YX et al. (2020). Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study. BMJ. link
  6. 6Epperson CN et al. (2012). Premenstrual dysphoric disorder: evidence for a new category for DSM-5. American Journal of Psychiatry. link
  7. 7NICE (2018). Heavy menstrual bleeding: assessment and management (NG88). link
  8. 8Nnoaham KE et al. (2011). Impact of endometriosis on quality of life and work productivity: a multicenter study across ten countries. Fertility and Sterility. link
  9. 9ACOG (2015). Menstruation in girls and adolescents: using the menstrual cycle as a vital sign (Committee Opinion No. 651). link
  10. 10Frank-Herrmann P et al. (2007). The effectiveness of a fertility awareness based method to avoid pregnancy in relation to a couple's sexual behaviour during the fertile time: a prospective longitudinal study. Human Reproduction. link
  11. 11Berglund Scherwitzl E et al. (2017). Perfect-use and typical-use Pearl Index of a contraceptive mobile app. Contraception. link
  12. 12Trussell J (2011). Contraceptive failure in the United States. Contraception. link
  13. 13Gordon CM et al. (2017). Functional hypothalamic amenorrhea: an Endocrine Society clinical practice guideline. Journal of Clinical Endocrinology & Metabolism. link
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