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
. 2020 Dec 1;3(12):e2027928.
doi: 10.1001/jamanetworkopen.2020.27928.

Associations of Menstrual Cycle Characteristics Across the Reproductive Life Span and Lifestyle Factors With Risk of Type 2 Diabetes

Affiliations

Associations of Menstrual Cycle Characteristics Across the Reproductive Life Span and Lifestyle Factors With Risk of Type 2 Diabetes

Yi-Xin Wang et al. JAMA Netw Open. .

Erratum in

  • Errors in Figure 2.
    [No authors listed] [No authors listed] JAMA Netw Open. 2021 Jan 4;4(1):e2034976. doi: 10.1001/jamanetworkopen.2020.34976. JAMA Netw Open. 2021. PMID: 33427878 Free PMC article. No abstract available.

Abstract

Importance: Menstrual cycle dysfunction is associated with insulin resistance, a key feature early in the pathogenesis of type 2 diabetes. However, the evidence linking irregular and long menstrual cycles with type 2 diabetes is scarce and inconsistent.

Objectives: To evaluate the associations between menstrual cycle characteristics at different points throughout a woman's reproductive life span and risk of type 2 diabetes and the extent to which this association is modified by lifestyle factors.

Design, setting, and participants: This prospective cohort study included 75 546 premenopausal US female nurses participating in the Nurses' Health Study II from 1993 to June 30, 2017. Data analysis was performed from February 1 to December 30, 2019.

Exposures: Self-reported usual length and regularity of menstrual cycles at the age ranges of 14 to 17 years, 18 to 22 years, and 29 to 46 years.

Main outcomes and measures: Incident type 2 diabetes identified through self-report and confirmed by validated supplemental questionnaires.

Results: Among the 75 546 women in the study at baseline, the mean (SD) age was 37.9 (4.6) years (range, 29.0-46.0 years). A total of 5608 participants (7.4%) had documented new cases of type 2 diabetes during 1 639 485 person-years of follow-up. After adjustment for potential confounders, women reporting always having irregular menstrual cycles between the age ranges of 14 to 17 years, 18 to 22 years, and 29 to 46 years were, respectively, 32% (95% CI, 22%-44%), 41% (95% CI, 23%-62%), and 66% (95% CI, 49%-84%) more likely to develop type 2 diabetes than women reporting very regular cycles (within 3-4 days of expected period) in the same age range. Similarly, women reporting a usual cycle length of 40 days or more between the age ranges of 18 to 22 years and 29 to 46 years were, respectively, 37% (95% CI, 19%-57%) and 50% (95% CI, 36%-65%) more likely to develop type 2 diabetes during follow-up compared with women reporting a usual cycle length of 26 to 31 days in the same age ranges. These associations appeared to be stronger among women with overweight or obesity, a low-quality diet, and low levels of physical activity. The relative excess risk of type 2 diabetes due to the interaction between irregular and long menstrual cycles and the overall unhealthy lifestyle score was 0.73 (95% CI, 0.57-0.89) and 0.68 (95% CI, 0.54-0.83), respectively.

Conclusions and relevance: In this cohort study of US female nurses participating in the Nurses' Health Study II, irregular and long menstrual cycles throughout life were associated with a greater risk of type 2 diabetes, particularly among women with overweight or obesity, a low-quality diet, and low levels of physical activity.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Drs Manson, Sun, and Chavarro reported receiving grants from the National Institutes of Health during the conduct of the study. Dr Missmer reported receiving grants and personal fees from AbbVie outside the submitted work and receiving grant funding from the National Institutes of Health and the US Department of Defense outside of the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Crude Cumulative Incidence of Type 2 Diabetes (T2D) According to Menstrual Cycle Regularity and Length During Mid-Adulthood
The cumulative incidence of T2D of oral contraceptive users (n = 9144) was not shown.
Figure 2.
Figure 2.. Adjusted Hazard Ratios (HRs) for Risk of Type 2 Diabetes (T2D) According to Menstrual Cycle Regularity and Length (Nurses’ Health Study II, 1993-2017)
NA indicates not applicable. aModels were adjusted for age (continuous), age at menarche (continuous), race/ethnicity (White, African American, Hispanic, or Asian), and family history of diabetes as well as for time-varying menopausal status (premenopausal; never, past, or current menopausal hormone use), parity (≤1, 2, or ≥3), household income (<$50 000, $50 000-$99 999, or≥$100 000), oral contraceptive use (never, past, or current), and alcohol consumption (0, 0.1-4.9, 5.0-9.9, 10.0-14.9, 15.0-29.9, or ≥30 g/d). bMultivariable models were further adjusted for time-varying body mass index (calculated as weight in kilograms divided by height in meters squared; <23, 23-24.9, 25-29.9, 30-34.9, or ≥35), physical activity (0, 0.1-1.0, 1.1-3.4, 3.5-5.9, or ≥6 hours/week), smoking status (never smoker, former smoker, current smoker: 1-14, 15-24, or ≥25 cigarettes/d), and Alternate Healthy Eating Index diet quality score (quintiles). P value for trend was estimated by excluding oral contraceptive users.

References

    1. International Diabetes Federation. IDF diabetes atlas: 9th edition 2019. Accessed August 1, 2019. http://www.diabetesatlas.org
    1. International Diabetes Federation. IDF Diabetes Atlas. 8th ed. International Diabetes Federation; 2018.
    1. Real FG, Svanes C, Omenaas ER, et al. Menstrual irregularity and asthma and lung function. J Allergy Clin Immunol. 2007;120(3):557-564. doi: 10.1016/j.jaci.2007.04.041 - DOI - PubMed
    1. Escobar-Morreale HF. Reproductive endocrinology: menstrual dysfunction—a proxy for insulin resistance in PCOS? Nat Rev Endocrinol. 2014;10(1):10-11. doi: 10.1038/nrendo.2013.232 - DOI - PubMed
    1. Wlazlo N, van Greevenbroek MM, Ferreira I, et al. Iron metabolism is associated with adipocyte insulin resistance and plasma adiponectin: the Cohort on Diabetes and Atherosclerosis Maastricht (CODAM) study. Diabetes Care. 2013;36(2):309-315. doi: 10.2337/dc12-0505 - DOI - PMC - PubMed

Publication types

MeSH terms