Investigator

Kristin A. Guertin

Assistant Professor · University of Connecticut, Public Health Sciences

KAGKristin A. Guertin
Papers(3)
Regular Physical Inac…Race Differences in t…Racial disparities in…
Collaborators(10)
Lynn RosenbergAnna H. WuCharlotte E. JoslinLauren C. PeresHolly R. HarrisTraci N. BetheaVeronica Wendy Setiaw…Heather M. Ochs-BalcomEvan R. MyersElisa V. Bandera
Institutions(10)
University Of Connect…Boston UniversityUniversity of Souther…University of Illinoi…H Lee Moffitt Cancer …Fred Hutch Cancer Cen…Office Of Minority He…University at Buffalo…Duke UniversityRutgers Cancer Instit…

Papers

Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer

Abstract Background: Menstrual cycle characteristics—including age at menarche and cycle length— have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied. Methods: Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI). Results: Black women were more likely to be <11 years at menarche than White women (controls: 9.9% vs. 6.0%). Compared with ≥15 years at menarche, <11 years was associated with increased EOC risk for White (OR = 1.25; 95% CI, 0.99–1.57) but not Black women (OR = 1.10; 95% CI, 0.80–1.55). Among White women only, the association was greater for premenopausal (OR = 2.20; 95% CI, 1.31–3.68) than postmenopausal women (OR = 1.06; 95% CI, 0.82–1.38). Irregular cycle length was inversely associated with risk for White (OR = 0.78; 95% CI, 0.62–0.99) but not Black women (OR = 1.06; 95% CI, 0.68–1.66). Conclusions: Earlier age at menarche and cycle irregularity are associated with increased EOC risk for White but not Black women. Impact: Associations between menstrual cycle characteristics and EOC risk were not uniform by race.

Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium

AbstractBlack women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline‐adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16‐1.47) during study follow‐up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.

26Works
3Papers
21Collaborators
Carcinoma, Ovarian EpithelialOvarian NeoplasmsNeoplasms

Positions

2022–

Assistant Professor

University of Connecticut · Public Health Sciences

2015–

Assistant Professor

University of Virginia · Public Health Sciences

2012–

Postdoctoral Fellow

National Cancer Institute · Division of Cancer Epidemiology & Genetics

Education

2008

MPH

Yale University · School of Public Health

2005

B.S.

Cornell University · Biology & Society

2013

PhD

Cornell University · Nutritional Sciences