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01.05.2006 | Original Paper

Relation of Anthropometric Measurements to Ovarian Cancer Risk in a Population-based Case–control Study (United States)

verfasst von: Neeraja B. Peterson, Amy Trentham-Dietz, Polly A. Newcomb, Zhi Chen, Tebeb Gebretsadik, John M. Hampton, Meir J. Stampfer, Walter C. Willett, Kathleen M. Egan

Erschienen in: Cancer Causes & Control | Ausgabe 4/2006

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Abstract

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 (≤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.

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Titel: Relation of Anthropometric Measurements to Ovarian Cancer Risk in a Population-based Case–control Study (United States)
verfasst von: Neeraja B. Peterson
Amy Trentham-Dietz
Polly A. Newcomb
Zhi Chen
Tebeb Gebretsadik
John M. Hampton
Meir J. Stampfer
Walter C. Willett
Kathleen M. Egan
Publikationsdatum: 01.05.2006
Verlag: Kluwer Academic Publishers
Erschienen in: Cancer Causes & Control / Ausgabe 4/2006
Print ISSN: 0957-5243
Elektronische ISSN: 1573-7225
DOI: https://doi.org/10.1007/s10552-005-0416-1

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Relation of Anthropometric Measurements to Ovarian Cancer Risk in a Population-based Case–control Study (United States)

Abstract

Objective

Methods

Results

Conclusion

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