TY - JOUR
T1 - Metabolic syndrome and risk of ovarian and fallopian tube cancer in the United States
T2 - An analysis of linked SEER–Medicare data
AU - Michels, Kara A.
AU - McNeel, Timothy S.
AU - Trabert, Britton
N1 - Publisher Copyright:
© 2019
PY - 2019/11
Y1 - 2019/11
N2 - Objective: To clarify associations between metabolic syndrome, its components, and ovarian cancer risk. Methods: Using a case-control study within the U.S.-based Surveillance, Epidemiology and End Results (SEER)–Medicare linked database, we examined metabolic syndrome, its components (obesity, impaired fasting glucose, hypertension, HDL cholesterol, triglycerides), and ovarian/fallopian tube cancer risk. Cases (n = 16,850) were diagnosed with cancer between age 68–89 from 1994 through 2013. Controls (n = 281,878) were Medicare enrollees without these cancers living in registry areas. We estimated adjusted odds ratios (OR) and 95% confidence intervals (CI) with logistic regression. Results: Women with metabolic syndrome had reduced ovarian cancer risk compared to women not meeting the diagnostic criteria (OR 0.86, CI 0.82–0.89). Having one or two syndrome components was associated with increased risk, but having ≥3 was not, when compared to women without any components. Impaired fasting glucose, which was highly prevalent among those with metabolic syndrome, was associated with reduced risk (OR 0.90, CI 0.87–0.93). Hypertension and high triglycerides, the most prevalent components among women without metabolic syndrome, were associated with increased risks (OR 1.08, CI 1.04–1.12; OR 1.05, CI 1.01–1.08, respectively). Conclusions: Specific metabolic syndrome components may have modest associations with ovarian cancer. These associations varied in direction and the prevalence of the components influenced the overall association between metabolic syndrome and ovarian cancer. Evaluating metabolic syndrome as a composite exposure could be misleading in ovarian cancer research, but further study of the syndrome components is warranted.
AB - Objective: To clarify associations between metabolic syndrome, its components, and ovarian cancer risk. Methods: Using a case-control study within the U.S.-based Surveillance, Epidemiology and End Results (SEER)–Medicare linked database, we examined metabolic syndrome, its components (obesity, impaired fasting glucose, hypertension, HDL cholesterol, triglycerides), and ovarian/fallopian tube cancer risk. Cases (n = 16,850) were diagnosed with cancer between age 68–89 from 1994 through 2013. Controls (n = 281,878) were Medicare enrollees without these cancers living in registry areas. We estimated adjusted odds ratios (OR) and 95% confidence intervals (CI) with logistic regression. Results: Women with metabolic syndrome had reduced ovarian cancer risk compared to women not meeting the diagnostic criteria (OR 0.86, CI 0.82–0.89). Having one or two syndrome components was associated with increased risk, but having ≥3 was not, when compared to women without any components. Impaired fasting glucose, which was highly prevalent among those with metabolic syndrome, was associated with reduced risk (OR 0.90, CI 0.87–0.93). Hypertension and high triglycerides, the most prevalent components among women without metabolic syndrome, were associated with increased risks (OR 1.08, CI 1.04–1.12; OR 1.05, CI 1.01–1.08, respectively). Conclusions: Specific metabolic syndrome components may have modest associations with ovarian cancer. These associations varied in direction and the prevalence of the components influenced the overall association between metabolic syndrome and ovarian cancer. Evaluating metabolic syndrome as a composite exposure could be misleading in ovarian cancer research, but further study of the syndrome components is warranted.
KW - Electronic health records
KW - Epidemiology
KW - Hypertension
KW - Metabolic syndrome
KW - Ovarian neoplasms
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U2 - 10.1016/j.ygyno.2019.08.032
DO - 10.1016/j.ygyno.2019.08.032
M3 - Article
C2 - 31495456
AN - SCOPUS:85071694426
SN - 0090-8258
VL - 155
SP - 294
EP - 300
JO - Gynecologic Oncology
JF - Gynecologic Oncology
IS - 2
ER -