Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 May 29;6(1):100.
doi: 10.1038/s41746-023-00848-1.

Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study

Affiliations

Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study

Huichu Li et al. NPJ Digit Med. .

Abstract

Menstrual characteristics are important signs of women's health. Here we examine the variation of menstrual cycle length by age, ethnicity, and body weight using 165,668 cycles from 12,608 participants in the US using mobile menstrual tracking apps. After adjusting for all covariates, mean menstrual cycle length is shorter with older age across all age groups until age 50 and then became longer for those age 50 and older. Menstrual cycles are on average 1.6 (95%CI: 1.2, 2.0) days longer for Asian and 0.7 (95%CI: 0.4, 1.0) days longer for Hispanic participants compared to white non-Hispanic participants. Participants with BMI ≥ 40 kg/m2 have 1.5 (95%CI: 1.2, 1.8) days longer cycles compared to those with BMI between 18.5 and 25 kg/m2. Cycle variability is the lowest among participants aged 35-39 but are considerably higher by 46% (95%CI: 43%, 48%) and 45% (95%CI: 41%, 49%) among those aged under 20 and between 45-49. Cycle variability increase by 200% (95%CI: 191%, 210%) among those aged above 50 compared to those in the 35-39 age group. Compared to white participants, those who are Asian and Hispanic have larger cycle variability. Participants with obesity also have higher cycle variability. Here we confirm previous observations of changes in menstrual cycle pattern with age across reproductive life span and report new evidence on the differences of menstrual variation by ethnicity and obesity status. Future studies should explore the underlying determinants of the variation in menstrual characteristics.

PubMed Disclaimer

Conflict of interest statement

All authors declare no support from any organization for the submitted work; C.L.C. and T.F.C. are employed by Apple Inc. and own Apple Inc. stock. No financial relationships with any organizations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Figures

Fig. 1
Fig. 1. Differences and 95%CIs of menstrual cycle length on the 25th and 75th percentiles by age, ethnicity, and BMI.
CIs, confidence intervals; BMI, body mass index, P25: 25th percentile; P75: 75th percentile. Exclusively adjusting for age, ethnicity, and BMI, and additionally for smoking, alcohol drinking, parity, physical activity, education, perceived stress scores, and MacArthur scale of subjective social status. Missing values in age, ethnicity, and BMI were excluded. Missing values in other covariates were treated with missing indicator. The other ethnicity group includes American Indian or Alaska Native, Middle Eastern or North African, Native Hawaiian or other Pacific Islander, or other unspecified ethnicity. Underweight: BMI < 18.5 kg/m2 healthy: 18.5 ≤ BMI < 25 kg/m2, overweight: 25 ≤ BMI < 30 kg/m2, class 1 obese: 30 ≤ BMI < 35 kg/m2, class 2 obese: 35 ≤ BMI < 40 kg/m2, class 3 obese: BMI ≥ 40 kg/m2. Error bars indicate 95%CIs.
Fig. 2
Fig. 2. Differences and 95%CIs of the mean and median menstrual cycle length with BMI by ethnicity groups.
CIs, confidence intervals; BMI, body mass index Adjusting for age, smoking, alcohol drinking, parity, physical activity, education, perceived stress scores, and MacArthur scale of subjective social status. Missing values in age, ethnicity, and BMI were excluded. Missing values in other covariates were treated with missing indicator. Analysis was restricted to participants who were under age 50 years and had BMI < 40 kg/m2, and to white, Black, Asian, and Hispanic participants to avoid having strata with few observations. Underweight: BMI < 18.5 kg/m2; healthy: 18.5 ≤ BMI < 25 kg/m2, overweight: 25 ≤ BMI < 30 kg/m2, obese: 30 ≤ BMI < 40 kg/m2. Error bars indicate 95%CIs.

References

    1. American Academy of Pediatrics Committee on Adolescence, American College of Obstetricians and Gynecologists Committee on Adolescent Health Care. Diaz A, Laufer MR, Breech LL. Menstruation in girls and adolescents: using the menstrual cycle as a vital sign. Pediatrics. 2006;118:2245–2250. doi: 10.1542/peds.2006-2481. - DOI - PubMed
    1. Wang, Y.-X. et al. Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study. BMJ m3464, 10.1136/bmj.m3464 (2020). - PMC - PubMed
    1. Wang Y-X, et al. Associations of menstrual cycle characteristics across the reproductive life span and lifestyle factors with risk of type 2 diabetes. JAMA Netw. Open. 2020;3:e2027928. doi: 10.1001/jamanetworkopen.2020.27928. - DOI - PMC - PubMed
    1. Solomon CG, et al. Menstrual cycle irregularity and risk for future cardiovascular disease. J. Clin. Endocrinol. Metab. 2002;87:2013–2017. doi: 10.1210/jcem.87.5.8471. - DOI - PubMed
    1. Wesselink AK, et al. Menstrual cycle characteristics and fecundability in a North American preconception cohort. Ann. Epidemiol. 2016;26:482–487.e1. doi: 10.1016/j.annepidem.2016.05.006. - DOI - PMC - PubMed