673Is weight more informative than body mass index for breast cancer risk. (2nd September 2021)
- Record Type:
- Journal Article
- Title:
- 673Is weight more informative than body mass index for breast cancer risk. (2nd September 2021)
- Main Title:
- 673Is weight more informative than body mass index for breast cancer risk
- Authors:
- Ye, Zhoufeng
Dite, Gillian
Hopper, John - Abstract:
- Abstract: Background: Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods: We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16, 035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results: In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions: The study found positive evidence that weight gives more information on risk than does BMI. Key messages: Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that areAbstract: Background: Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods: We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16, 035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results: In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions: The study found positive evidence that weight gives more information on risk than does BMI. Key messages: Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that are easier to convey to the public. … (more)
- Is Part Of:
- International journal of epidemiology. Volume 50(2021)Supplement 1
- Journal:
- International journal of epidemiology
- Issue:
- Volume 50(2021)Supplement 1
- Issue Display:
- Volume 50, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2021-0050-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09-02
- Subjects:
- Epidemiology -- Periodicals
614.4 - Journal URLs:
- http://ije.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/ije/dyab168.734 ↗
- Languages:
- English
- ISSNs:
- 0300-5771
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.244000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19885.xml