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Long or Highly Irregular Menstrual Cycles as a Marker for Risk of Type 2 Diabetes Mellitus
Abstract
CONTEXT: Although oligomenorrhea has been associated cross-sectionally with insulin resistance and glucose intolerance, it is not known whether oligomenorrhea is a marker for increased future risk of type 2 diabetes mellitus (DM). OBJECTIVE: To prospectively assess risk of type 2 DM in women with a history of long or highly irregular menstrual cycles. DESIGN AND SETTING: The Nurses' Health Study II, a prospective observational cohort study. PARTICIPANTS: A total of 101 073 women who had no prior history of DM and who reported their usual menstrual cycle pattern at age 18 to 22 years on the baseline (1989) questionnaire. MAIN OUTCOME MEASURE: Incident reports of DM, with follow-up through 1997, compared among women categorized by menstrual cycle length (5 categories). RESULTS: During 564 333 person-years of follow-up, there were 507 cases of type 2 DM. Compared with women with a usual cycle length of 26 to 31 days (referent category) at age 18 to 22 years, the relative risk (RR) of type 2 DM among women with a menstrual cycle length that was 40 days or more or was too irregular to estimate was 2.08 (95% confidence interval [CI], 1.62-2.66), adjusting for body mass index at age 18 years and several other potential confounding variables. The RR of type 2 DM associated with long or highly irregular menstrual cycles was greater in obese women, but was also increased in nonobese women (at body mass indexes at age 18 years of <25, 25-29, and >/=30 kg/m, RRs were 1.67 [95% CI, 1.14-2.45], 1.74 [95% CI, 1.07-2.82], and 3.86 [95% CI, 2.33-6.38], respectively). CONCLUSION: Women with long or highly irregular menstrual cycles have a significantly increased risk for developing type 2 DM that is not completely explained by obesity.
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“For this reason, PCOS is associated with a two times increased risk for type 2 diabetes (T2D) [15].”
From From Prediabetes to Type 2 Diabetes Mellitus in Women with Polycystic Ovary Syndrome: Lifestyle and Pharmacological Management (2020) · cites this paper as [15]
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“[2-4] The incidence of these hormonal problems can lead to development of various chronic diseases including, infertility, heart disease, and type 2 diabetes.[5,6] Furthermore, the continuation of menstrual cycle irregularities occurring over long periods may result in early onset of menopause, which increases the ris…”
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“Long or irregular cycles (>35 days) are associated with insulin resistance (8, 9), an elevated lifetime risk of type 2 diabetes (10, 11) and gestational diabetes mellitus (GDM) (12), premature mortality (13), hypertension (14), and cardiovascular disease (15 – 19).”
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Metadata
- Authors
- Solomon, C. G.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Solomon, Caren G.
- ORCID
- Solomon, Caren G.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2001-11-21
- Volume
- 286
- Issue
- 19
- Pages
- 2421
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2043815784
- Cited by
- 362
- References
- 31
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 11 · 2023: 15 · 2022: 25 · 2021: 23 · 2020: 12 · 2019: 6 · 2018: 15 · 2017: 15 · 2016: 13 · 2015: 14 · 2014: 9 · 2013: 15 · 2012: 23
- FWCI
- 17.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (CA50385, R01CA050385)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Reproductive Medicine › Hypothalamic control of reproductive hormones
- Keywords
- type 2 diabetes, menstrual cycle length, oligomenorrhea, menstrual irregularity, diabetes risk, obesity, insulin resistance, impaired glucose tolerance, women's health, Nurses' Health Study II
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, Female, Humans, Menstrual Cycle, Obesity, Oligomenorrhea, Prospective Studies, Regression Analysis, Risk Factors, Body Mass Index
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