OBJECTIVE: To examine the relationship between anthropometric measures and ovarian cancer by menopausal status. METHODS: We analyzed data from a population-based case-control study comprised of 700 incident cases of epithelial ovarian cancer and 5,943 population controls from Massachusetts and Wisconsin enrolled between 1993 and 2001. In a telephone interview, information was gathered on established ovarian cancer risk factors, as well as adult height and age-specific body weight. Logistic regression was used to estimate multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for body mass index (BMI) throughout life. RESULTS: Recent BMI had no significant association with ovarian cancer risk (P-trend 0.14 for continuous BMI), after adjustment for age and other ovarian cancer risk factors. However, a non-significant positive association (overall P-trend 0.08) was observed for BMI at age 20; the risk estimate comparing a body mass of >25 kg/m2 to the lowest quintile (<or=18.88 kg/m2) was moderately but non-significantly elevated (OR 1.46; 95% CI 0.92, 2.31). CONCLUSION: Results of this study suggest that maintenance of a lean body mass, particularly in early adult life, may decrease ovarian cancer risk.
OBJECTIVE: To examine the relationship between anthropometric measures and ovarian cancer by menopausal status. METHODS: We analyzed data from a population-based case-control study comprised of 700 incident cases of epithelial ovarian cancer and 5,943 population controls from Massachusetts and Wisconsin enrolled between 1993 and 2001. In a telephone interview, information was gathered on established ovarian cancer risk factors, as well as adult height and age-specific body weight. Logistic regression was used to estimate multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for body mass index (BMI) throughout life. RESULTS: Recent BMI had no significant association with ovarian cancer risk (P-trend 0.14 for continuous BMI), after adjustment for age and other ovarian cancer risk factors. However, a non-significant positive association (overall P-trend 0.08) was observed for BMI at age 20; the risk estimate comparing a body mass of >25 kg/m2 to the lowest quintile (<or=18.88 kg/m2) was moderately but non-significantly elevated (OR 1.46; 95% CI 0.92, 2.31). CONCLUSION: Results of this study suggest that maintenance of a lean body mass, particularly in early adult life, may decrease ovarian cancer risk.
Authors: Alison J Canchola; Ellen T Chang; Leslie Bernstein; Joan A Largent; Peggy Reynolds; Dennis Deapen; Katherine D Henderson; Giske Ursin; Pamela L Horn-Ross Journal: Cancer Causes Control Date: 2010-10-06 Impact factor: 2.506
Authors: Leo J Schouten; Christine Rivera; David J Hunter; Donna Spiegelman; Hans-Olov Adami; Alan Arslan; W Lawrence Beeson; Piet A van den Brandt; Julie E Buring; Aaron R Folsom; Gary E Fraser; Jo L Freudenheim; R Alexandra Goldbohm; Susan E Hankinson; James V Lacey; Michael Leitzmann; Annekatrin Lukanova; James R Marshall; Anthony B Miller; Alpa V Patel; Carmen Rodriguez; Thomas E Rohan; Julie A Ross; Alicja Wolk; Shumin M Zhang; Stephanie A Smith-Warner Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-04-01 Impact factor: 4.254
Authors: Michael F Leitzmann; Corinna Koebnick; Kim N Danforth; Louise A Brinton; Steven C Moore; Albert R Hollenbeck; Arthur Schatzkin; James V Lacey Journal: Cancer Date: 2009-02-15 Impact factor: 6.860