Aune, D, Rosenblatt, DAN, Chan, DSM et al. (5 more authors) (2014) Anthropometric factors and ovarian cancer risk: a systematic review and nonlinear dose-response meta-analysis of prospective studies. International Journal of Cancer. ISSN 0020-7136
Abstract
In the World Cancer Research Fund/American Institute for Cancer Research report from 2007 the evidence relating body fatness to ovarian cancer risk was considered inconclusive, while the evidence supported a probably causal relationship between adult attained height and increased risk. Several additional cohort studies have since been published, and therefore we conducted an updated meta-analysis of the evidence as part of the Continuous Update Project. We searched PubMed and several other databases up to December 2013. Summary relative risks (RRs) were calculated using a random effects model. The summary relative risk for a 5 unit increment in BMI was 1.07 (95% CI: 1.02-1.11, I2=53%, n=26 studies). There was evidence of a nonlinear association, pnonlinearity<0.0001, with risk increasing significantly from BMI~28 and above. The summary RR per 5 unit increase in BMI in early adulthood was 1.12 (95% CI: 1.05-1.20, I2=0%, pheterogeneity=0.54, n=6), per 5 kg increase in body weight was 1.03 (95% CI: 1.02-1.05, I2=0%, n=4) and per 10 cm increase in waist circumference was 1.06 (95% CI: 1.00-1.12, I2=0%, n=6). No association was found for weight gain, hip circumference or waist-to-hip ratio. The summary RR per 10 cm increase in height was 1.16 (95% CI: 1.11-1.21, I2=32%, n=16). In conclusion, greater body fatness as measured by body mass index and weight are positively associated risk of ovarian cancer, and in addition, greater height is associated with increased risk. Further studies are needed to clarify whether abdominal fatness and weight gain is associated with risk.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c)2014 UICC. Uploaded in accordance with the publisher's self-archiving policy. This is the accepted version of the following article: Aune, D., Navarro Rosenblatt, D. A., Chan, D. S. M., Abar, L., Vingeliene, S., Vieira, A. R., Greenwood, D. C. and Norat, T. (2014), Anthropometric factors and ovarian cancer risk: A systematic review and nonlinear dose-response meta-analysis of prospective studies. Int. J. Cancer. doi: 10.1002/ijc.29207, which has been published in final form at http://dx.doi.org/10.1002/ijc.29207 |
Keywords: | Body mass index; Weight; Height; Ovarian cancer; Meta-analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Oct 2014 10:56 |
Last Modified: | 06 Oct 2015 06:28 |
Published Version: | http://dx.doi.org/10.1002/ijc.29207 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/ijc.29207 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80424 |