Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts

J.L. Harding, J.E. Shaw, K.J. Anstey, R. Adams, B. Balkau, S.L. Brennan-Olsen, Tom Briffa, Timothy Davis, Wendy Davis, A. Dobson, Leon Flicker, G. Giles, J. Grant, R. Huxley, Matthew Knuiman, M. Luszcz, R.J. Macinnis, P. Mitchell, J.A. Pasco, C. Reid & 6 others D. Simmons, L. Simons, A. Tonkin, M. Woodward, A. Peeters, D.J. Magliano

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Abstract

© 2015 UICC. Obesity is a risk factor for cancer. However, it is not known if general adiposity, as measured by body mass index (BMI) or central adiposity [e.g., waist circumference (WC)] have stronger associations with cancer, or which anthropometric measure best predicts cancer risk. We included 79,458 men and women from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on anthropometry [BMI, WC, Hip Circumference (HC), WHR, waist to height ratio (WtHR), A Body Shape Index (ABSI)], linked to the Australian Cancer Database. Cox proportional hazards models assessed the association between each anthropometric marker, per standard deviation and the risk of overall, colorectal, post-menopausal (PM) breast, prostate and obesity-related cancers. We assessed the discriminative ability of models using Harrell's c-statistic. All anthropometric markers were associated with overall, colorectal and obesity-related cancers. BMI, WC and HC were associated with PM breast cancer and no significant associations were seen for prostate cancer. Strongest associations were observed for WC across all outcomes, excluding PM breast cancer for which HC was strongest. WC had greater discrimination compared to BMI for overall and colorectal cancer in men and women with c-statistics ranging from 0.70 to 0.71. We show all anthropometric measures are associated with the overall, colorectal, PM breast and obesity-related cancer in men and women, but not prostate cancer. WC discriminated marginally better than BMI. However, all anthropometric measures were similarly moderately predictive of cancer risk. We do not recommend one anthropometric marker over another for assessing an individuals' risk of cancer.
Original languageEnglish
Pages (from-to)1699-1708
Number of pages10
JournalInternational journal of cancer. Journal international du cancer
Volume137
Issue number7
Early online date6 Apr 2015
DOIs
Publication statusPublished - 14 Jul 2015

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Waist Circumference
Incidence
Neoplasms
Body Mass Index
Obesity
Hip
Adiposity
Prostatic Neoplasms
Breast
Breast Neoplasms
Anthropometry
New Zealand
Proportional Hazards Models
Prostate
Colorectal Neoplasms
Databases

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Harding, J.L. ; Shaw, J.E. ; Anstey, K.J. ; Adams, R. ; Balkau, B. ; Brennan-Olsen, S.L. ; Briffa, Tom ; Davis, Timothy ; Davis, Wendy ; Dobson, A. ; Flicker, Leon ; Giles, G. ; Grant, J. ; Huxley, R. ; Knuiman, Matthew ; Luszcz, M. ; Macinnis, R.J. ; Mitchell, P. ; Pasco, J.A. ; Reid, C. ; Simmons, D. ; Simons, L. ; Tonkin, A. ; Woodward, M. ; Peeters, A. ; Magliano, D.J. / Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts. In: International journal of cancer. Journal international du cancer. 2015 ; Vol. 137, No. 7. pp. 1699-1708.
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abstract = "{\circledC} 2015 UICC. Obesity is a risk factor for cancer. However, it is not known if general adiposity, as measured by body mass index (BMI) or central adiposity [e.g., waist circumference (WC)] have stronger associations with cancer, or which anthropometric measure best predicts cancer risk. We included 79,458 men and women from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on anthropometry [BMI, WC, Hip Circumference (HC), WHR, waist to height ratio (WtHR), A Body Shape Index (ABSI)], linked to the Australian Cancer Database. Cox proportional hazards models assessed the association between each anthropometric marker, per standard deviation and the risk of overall, colorectal, post-menopausal (PM) breast, prostate and obesity-related cancers. We assessed the discriminative ability of models using Harrell's c-statistic. All anthropometric markers were associated with overall, colorectal and obesity-related cancers. BMI, WC and HC were associated with PM breast cancer and no significant associations were seen for prostate cancer. Strongest associations were observed for WC across all outcomes, excluding PM breast cancer for which HC was strongest. WC had greater discrimination compared to BMI for overall and colorectal cancer in men and women with c-statistics ranging from 0.70 to 0.71. We show all anthropometric measures are associated with the overall, colorectal, PM breast and obesity-related cancer in men and women, but not prostate cancer. WC discriminated marginally better than BMI. However, all anthropometric measures were similarly moderately predictive of cancer risk. We do not recommend one anthropometric marker over another for assessing an individuals' risk of cancer.",
author = "J.L. Harding and J.E. Shaw and K.J. Anstey and R. Adams and B. Balkau and S.L. Brennan-Olsen and Tom Briffa and Timothy Davis and Wendy Davis and A. Dobson and Leon Flicker and G. Giles and J. Grant and R. Huxley and Matthew Knuiman and M. Luszcz and R.J. Macinnis and P. Mitchell and J.A. Pasco and C. Reid and D. Simmons and L. Simons and A. Tonkin and M. Woodward and A. Peeters and D.J. Magliano",
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Harding, JL, Shaw, JE, Anstey, KJ, Adams, R, Balkau, B, Brennan-Olsen, SL, Briffa, T, Davis, T, Davis, W, Dobson, A, Flicker, L, Giles, G, Grant, J, Huxley, R, Knuiman, M, Luszcz, M, Macinnis, RJ, Mitchell, P, Pasco, JA, Reid, C, Simmons, D, Simons, L, Tonkin, A, Woodward, M, Peeters, A & Magliano, DJ 2015, 'Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts' International journal of cancer. Journal international du cancer, vol. 137, no. 7, pp. 1699-1708. https://doi.org/10.1002/ijc.29529

Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts. / Harding, J.L.; Shaw, J.E.; Anstey, K.J.; Adams, R.; Balkau, B.; Brennan-Olsen, S.L.; Briffa, Tom; Davis, Timothy; Davis, Wendy; Dobson, A.; Flicker, Leon; Giles, G.; Grant, J.; Huxley, R.; Knuiman, Matthew; Luszcz, M.; Macinnis, R.J.; Mitchell, P.; Pasco, J.A.; Reid, C.; Simmons, D.; Simons, L.; Tonkin, A.; Woodward, M.; Peeters, A.; Magliano, D.J.

In: International journal of cancer. Journal international du cancer, Vol. 137, No. 7, 14.07.2015, p. 1699-1708.

Research output: Contribution to journalArticle

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T1 - Comparison of anthropometric measures as predictors of cancer incidence: A pooled collaborative analysis of 11 Australian cohorts

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AU - Shaw, J.E.

AU - Anstey, K.J.

AU - Adams, R.

AU - Balkau, B.

AU - Brennan-Olsen, S.L.

AU - Briffa, Tom

AU - Davis, Timothy

AU - Davis, Wendy

AU - Dobson, A.

AU - Flicker, Leon

AU - Giles, G.

AU - Grant, J.

AU - Huxley, R.

AU - Knuiman, Matthew

AU - Luszcz, M.

AU - Macinnis, R.J.

AU - Mitchell, P.

AU - Pasco, J.A.

AU - Reid, C.

AU - Simmons, D.

AU - Simons, L.

AU - Tonkin, A.

AU - Woodward, M.

AU - Peeters, A.

AU - Magliano, D.J.

PY - 2015/7/14

Y1 - 2015/7/14

N2 - © 2015 UICC. Obesity is a risk factor for cancer. However, it is not known if general adiposity, as measured by body mass index (BMI) or central adiposity [e.g., waist circumference (WC)] have stronger associations with cancer, or which anthropometric measure best predicts cancer risk. We included 79,458 men and women from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on anthropometry [BMI, WC, Hip Circumference (HC), WHR, waist to height ratio (WtHR), A Body Shape Index (ABSI)], linked to the Australian Cancer Database. Cox proportional hazards models assessed the association between each anthropometric marker, per standard deviation and the risk of overall, colorectal, post-menopausal (PM) breast, prostate and obesity-related cancers. We assessed the discriminative ability of models using Harrell's c-statistic. All anthropometric markers were associated with overall, colorectal and obesity-related cancers. BMI, WC and HC were associated with PM breast cancer and no significant associations were seen for prostate cancer. Strongest associations were observed for WC across all outcomes, excluding PM breast cancer for which HC was strongest. WC had greater discrimination compared to BMI for overall and colorectal cancer in men and women with c-statistics ranging from 0.70 to 0.71. We show all anthropometric measures are associated with the overall, colorectal, PM breast and obesity-related cancer in men and women, but not prostate cancer. WC discriminated marginally better than BMI. However, all anthropometric measures were similarly moderately predictive of cancer risk. We do not recommend one anthropometric marker over another for assessing an individuals' risk of cancer.

AB - © 2015 UICC. Obesity is a risk factor for cancer. However, it is not known if general adiposity, as measured by body mass index (BMI) or central adiposity [e.g., waist circumference (WC)] have stronger associations with cancer, or which anthropometric measure best predicts cancer risk. We included 79,458 men and women from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on anthropometry [BMI, WC, Hip Circumference (HC), WHR, waist to height ratio (WtHR), A Body Shape Index (ABSI)], linked to the Australian Cancer Database. Cox proportional hazards models assessed the association between each anthropometric marker, per standard deviation and the risk of overall, colorectal, post-menopausal (PM) breast, prostate and obesity-related cancers. We assessed the discriminative ability of models using Harrell's c-statistic. All anthropometric markers were associated with overall, colorectal and obesity-related cancers. BMI, WC and HC were associated with PM breast cancer and no significant associations were seen for prostate cancer. Strongest associations were observed for WC across all outcomes, excluding PM breast cancer for which HC was strongest. WC had greater discrimination compared to BMI for overall and colorectal cancer in men and women with c-statistics ranging from 0.70 to 0.71. We show all anthropometric measures are associated with the overall, colorectal, PM breast and obesity-related cancer in men and women, but not prostate cancer. WC discriminated marginally better than BMI. However, all anthropometric measures were similarly moderately predictive of cancer risk. We do not recommend one anthropometric marker over another for assessing an individuals' risk of cancer.

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DO - 10.1002/ijc.29529

M3 - Article

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SP - 1699

EP - 1708

JO - International Journal of Cancer (Predictive Oncology)

JF - International Journal of Cancer (Predictive Oncology)

SN - 0020-7136

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