The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.
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]
Citations
Cites
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National Diabetes Data Group (1979) · Diabetes · doi:10.2337/diab.28.12.1039 · Cited by 4,909
Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., & Willett, W. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010492 · Cited by 2,901
Self-citationHarris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
Profound Peripheral Insulin Resistance, Independent of Obesity, in Polycystic Ovary Syndrome
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Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome.
Ehrmann, D. A., Barnes, R. B., Rosenfield, R. L., Cavaghan, M. K., & Imperial, J. (1999) · Diabetes Care · doi:10.2337/diacare.22.1.141 · Cited by 1,257
Diamanti‐Kandarakis, E., Kouli, C., Bergiele, A. T., Filandra, F. A., Tsianateli, T. C., Spina, G., Zapanti, E. D., & Bartzis, M. I. (1999) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.84.11.6148 · Cited by 1,107
Screening for type 2 diabetes.
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The Prevalence and Features of the Polycystic Ovary Syndrome in an Unselected Population
Azziz, R., Woods, K. S., Reyna, R., Key, T. J., Knochenhauer, E. S., & Yıldız, B. O. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-032046 · Cited by 2,715
“4% rate of physician-diagnosed hirsutism reported by the participants of the Nurses’ Health Study II (19).”
Azziz, R., Carmina, E., Dewailly, D., Diamanti-Kandarakis, E., Escobar-Morreale, H. F., Futterweit, W., Janssen, O. E., Legro, R. S., Norman, R. J., Taylor, A. E., et al. (2009) · Fertility and Sterility · doi:10.1016/j.fertnstert.2008.06.035 · Cited by 2,132
“9% reported by 101,073 women participating in the Nurses’ Health Study II for cycles R32 days in length (57).”
BackgroundFauser, B. C. J. M., Tarlatzis, B. C., Rebar, R. W., Legro, R. S., Balen, A. H., Lobo, R., Carmina, E., Chang, J., Yildiz, B. O., Laven, J. S. E., et al. (2012) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.09.024 · Cited by 1,976
Diamanti-Kandarakis, E., & Dunaif, A. (2012) · Endocrine Reviews · doi:10.1210/er.2011-1034 · Cited by 1,947
Azziz, R., Carmina, E., Chen, Z., Dunaif, A., Laven, J. S. E., Legro, R. S., Lizneva, D., Natterson-Horowtiz, B., Teede, H. J., & Yildiz, B. O. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.57 · Cited by 2,005
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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