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Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort
Body size is an important modifiable risk factor for postmenopausal breast cancer. However, it remains unclear whether direct measures of fat mass are better indicators of risk than anthropometric measures, or whether central adiposity may contribute to risk beyond overall adiposity. We analyzed dat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099222/ https://www.ncbi.nlm.nih.gov/pubmed/29569713 http://dx.doi.org/10.1002/ijc.31394 |
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author | Guo, Wenji Key, Timothy J. Reeves, Gillian K. |
author_facet | Guo, Wenji Key, Timothy J. Reeves, Gillian K. |
author_sort | Guo, Wenji |
collection | PubMed |
description | Body size is an important modifiable risk factor for postmenopausal breast cancer. However, it remains unclear whether direct measures of fat mass are better indicators of risk than anthropometric measures, or whether central adiposity may contribute to risk beyond overall adiposity. We analyzed data from 162,691 postmenopausal women in UK Biobank followed from 2006 to 2014. Body size was measured by trained technicians. Multivariable‐adjusted Cox regression was used to estimate relative risks. Analyses were stratified by age at recruitment, region and socioeconomic status, and adjusted for family history of breast cancer, age at menarche, age at first birth, parity, age at menopause, previous hormone replacement therapy use, smoking, alcohol intake, height, physical activity and ethnicity. We observed 2,913 incident invasive breast cancers during a mean 5.7 years of follow‐up. There was a continuous increase in risk of postmenopausal breast cancer with increasing adiposity, across all measures. The point estimate, comparing women in the top (median 37.6 kg) to bottom (median 17.6 kg) quartile of body fat mass was 1.70 (95% confidence interval 1.52–1.90). The magnitudes of the associations between per SD increase in BMI and body fat mass with breast cancer risk were similar, suggesting impedance measures of fat were not substantially better indicators of risk than anthropometric measures. After adjusting for body fat mass, the associations between anthropometric measures of central adiposity and breast cancer risk were attenuated. The magnitude of risk, across all measures of adiposity, was greater in women who had been postmenopausal for 12 or more years. |
format | Online Article Text |
id | pubmed-6099222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60992222018-08-23 Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort Guo, Wenji Key, Timothy J. Reeves, Gillian K. Int J Cancer Cancer Epidemiology Body size is an important modifiable risk factor for postmenopausal breast cancer. However, it remains unclear whether direct measures of fat mass are better indicators of risk than anthropometric measures, or whether central adiposity may contribute to risk beyond overall adiposity. We analyzed data from 162,691 postmenopausal women in UK Biobank followed from 2006 to 2014. Body size was measured by trained technicians. Multivariable‐adjusted Cox regression was used to estimate relative risks. Analyses were stratified by age at recruitment, region and socioeconomic status, and adjusted for family history of breast cancer, age at menarche, age at first birth, parity, age at menopause, previous hormone replacement therapy use, smoking, alcohol intake, height, physical activity and ethnicity. We observed 2,913 incident invasive breast cancers during a mean 5.7 years of follow‐up. There was a continuous increase in risk of postmenopausal breast cancer with increasing adiposity, across all measures. The point estimate, comparing women in the top (median 37.6 kg) to bottom (median 17.6 kg) quartile of body fat mass was 1.70 (95% confidence interval 1.52–1.90). The magnitudes of the associations between per SD increase in BMI and body fat mass with breast cancer risk were similar, suggesting impedance measures of fat were not substantially better indicators of risk than anthropometric measures. After adjusting for body fat mass, the associations between anthropometric measures of central adiposity and breast cancer risk were attenuated. The magnitude of risk, across all measures of adiposity, was greater in women who had been postmenopausal for 12 or more years. John Wiley and Sons Inc. 2018-04-10 2018-09-01 /pmc/articles/PMC6099222/ /pubmed/29569713 http://dx.doi.org/10.1002/ijc.31394 Text en © 2018 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Epidemiology Guo, Wenji Key, Timothy J. Reeves, Gillian K. Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title | Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title_full | Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title_fullStr | Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title_full_unstemmed | Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title_short | Adiposity and breast cancer risk in postmenopausal women: Results from the UK Biobank prospective cohort |
title_sort | adiposity and breast cancer risk in postmenopausal women: results from the uk biobank prospective cohort |
topic | Cancer Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099222/ https://www.ncbi.nlm.nih.gov/pubmed/29569713 http://dx.doi.org/10.1002/ijc.31394 |
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