Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma: Two large prospective cohort studies in the US

Akiko Hanyuda; Dong Hoon Lee; Shuji Ogino; Kana Wu; Edward L. Giovannucci

doi:10.1002/ijc.32553

Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma: Two large prospective cohort studies in the US

Akiko Hanyuda, Dong Hoon Lee, Shuji Ogino, Kana Wu, Edward L. Giovannucci

Department of Sports Industry Studies

Research output: Contribution to journal › Article › peer-review

Abstract

Anthropometric measurements, such as body mass index (BMI), waist circumference, and body fat percentage, have been used as indicators of obesity. Despite evidence that excess body fat is a risk factor for colorectal carcinoma (CRC), the magnitude of the association of BMI and other obesity indicators with the long-term risk of CRC remains unclear. Utilizing a Cox proportional hazards regression model, we examined differential associations between predicted body fat percentage and BMI with the risk of CRC (n = 2,017). The associations between CRC incidence and different adiposity measurements were also assessed. Predicted body fat percentage had a similar increased risk of CRC risk as BMI. In multivariable-adjusted analyses, the hazard ratio for CRC in the second to fifth quintiles (compared to the first quintile) of predicted body fat percentage were 1.32, 1.31, 1.53 and 2.09 for men (p_trend < 0.001) and 0.91, 0.90, 0.98 and 1.15 for women (p_trend = 0.03). Among various anthropometric measurements, predicted fat mass and waist circumference were slightly more strongly associated with CRC risk than BMI. In conclusion, the novel anthropometric prediction equations provided further evidence that a greater amount of body fat might contribute to CRC risk in both sexes. An innovative approach enabled us to estimate the susceptibilities of specific body composition with CRC risk, in an inexpensive and minimally invasive manner. Furthermore, the typically used measures of BMI and waist circumference are robust measures of adiposity to predict cancer risk in a relatively healthy population.

Original language	English
Pages (from-to)	2383-2393
Number of pages	11
Journal	International Journal of Cancer
Volume	146
Issue number	9
DOIs	https://doi.org/10.1002/ijc.32553
Publication status	Published - 2020 May 1

Bibliographical note

Funding Information:
We would like to thank the participants and staff of the Nurses’ Health Study and the Health Professionals Follow-up Study for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for the analyses and interpretation of these data. This work was supported by the National Institutes of Health [UM1 CA186107 and P01 CA87969 to M.J.S.; P01 CA55075, UM1 CA167552 to W.C.W. and U01 CA167552 to W.C.W. and L.A.M.; R03 CA223619 to E.L.G.; R01 CA151993 and R35 CA197735 to S.O.], by the Nodal Award from the Dana-Farber Harvard Cancer Center to S.O.; and by a grant from the Bennett Family Fund and the Entertainment Industry Foundation through National Colorectal Cancer Research Alliance. The funders had no role in

Publisher Copyright:
© 2019 UICC

All Science Journal Classification (ASJC) codes

Oncology
Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/ijc.32553

Cite this

@article{5ace483f5dcd4bfab524a7a2370e37e6,

title = "Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma: Two large prospective cohort studies in the US",

abstract = "Anthropometric measurements, such as body mass index (BMI), waist circumference, and body fat percentage, have been used as indicators of obesity. Despite evidence that excess body fat is a risk factor for colorectal carcinoma (CRC), the magnitude of the association of BMI and other obesity indicators with the long-term risk of CRC remains unclear. Utilizing a Cox proportional hazards regression model, we examined differential associations between predicted body fat percentage and BMI with the risk of CRC (n = 2,017). The associations between CRC incidence and different adiposity measurements were also assessed. Predicted body fat percentage had a similar increased risk of CRC risk as BMI. In multivariable-adjusted analyses, the hazard ratio for CRC in the second to fifth quintiles (compared to the first quintile) of predicted body fat percentage were 1.32, 1.31, 1.53 and 2.09 for men (ptrend < 0.001) and 0.91, 0.90, 0.98 and 1.15 for women (ptrend = 0.03). Among various anthropometric measurements, predicted fat mass and waist circumference were slightly more strongly associated with CRC risk than BMI. In conclusion, the novel anthropometric prediction equations provided further evidence that a greater amount of body fat might contribute to CRC risk in both sexes. An innovative approach enabled us to estimate the susceptibilities of specific body composition with CRC risk, in an inexpensive and minimally invasive manner. Furthermore, the typically used measures of BMI and waist circumference are robust measures of adiposity to predict cancer risk in a relatively healthy population.",

author = "Akiko Hanyuda and Lee, {Dong Hoon} and Shuji Ogino and Kana Wu and Giovannucci, {Edward L.}",

note = "Funding Information: We would like to thank the participants and staff of the Nurses{\textquoteright} Health Study and the Health Professionals Follow-up Study for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for the analyses and interpretation of these data. This work was supported by the National Institutes of Health [UM1 CA186107 and P01 CA87969 to M.J.S.; P01 CA55075, UM1 CA167552 to W.C.W. and U01 CA167552 to W.C.W. and L.A.M.; R03 CA223619 to E.L.G.; R01 CA151993 and R35 CA197735 to S.O.], by the Nodal Award from the Dana-Farber Harvard Cancer Center to S.O.; and by a grant from the Bennett Family Fund and the Entertainment Industry Foundation through National Colorectal Cancer Research Alliance. The funders had no role in Publisher Copyright: {\textcopyright} 2019 UICC",

year = "2020",

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doi = "10.1002/ijc.32553",

language = "English",

volume = "146",

pages = "2383--2393",

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Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma : Two large prospective cohort studies in the US. / Hanyuda, Akiko; Lee, Dong Hoon; Ogino, Shuji et al.

In: International Journal of Cancer, Vol. 146, No. 9, 01.05.2020, p. 2383-2393.

Research output: Contribution to journal › Article › peer-review

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T1 - Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma

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AU - Hanyuda, Akiko

AU - Lee, Dong Hoon

AU - Ogino, Shuji

AU - Wu, Kana

AU - Giovannucci, Edward L.

N1 - Funding Information: We would like to thank the participants and staff of the Nurses’ Health Study and the Health Professionals Follow-up Study for their valuable contributions as well as the following state cancer registries for their help: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, IA, KY, LA, ME, MD, MA, MI, NE, NH, NJ, NY, NC, ND, OH, OK, OR, PA, RI, SC, TN, TX, VA, WA, WY. The authors assume full responsibility for the analyses and interpretation of these data. This work was supported by the National Institutes of Health [UM1 CA186107 and P01 CA87969 to M.J.S.; P01 CA55075, UM1 CA167552 to W.C.W. and U01 CA167552 to W.C.W. and L.A.M.; R03 CA223619 to E.L.G.; R01 CA151993 and R35 CA197735 to S.O.], by the Nodal Award from the Dana-Farber Harvard Cancer Center to S.O.; and by a grant from the Bennett Family Fund and the Entertainment Industry Foundation through National Colorectal Cancer Research Alliance. The funders had no role in Publisher Copyright: © 2019 UICC

PY - 2020/5/1

Y1 - 2020/5/1

N2 - Anthropometric measurements, such as body mass index (BMI), waist circumference, and body fat percentage, have been used as indicators of obesity. Despite evidence that excess body fat is a risk factor for colorectal carcinoma (CRC), the magnitude of the association of BMI and other obesity indicators with the long-term risk of CRC remains unclear. Utilizing a Cox proportional hazards regression model, we examined differential associations between predicted body fat percentage and BMI with the risk of CRC (n = 2,017). The associations between CRC incidence and different adiposity measurements were also assessed. Predicted body fat percentage had a similar increased risk of CRC risk as BMI. In multivariable-adjusted analyses, the hazard ratio for CRC in the second to fifth quintiles (compared to the first quintile) of predicted body fat percentage were 1.32, 1.31, 1.53 and 2.09 for men (ptrend < 0.001) and 0.91, 0.90, 0.98 and 1.15 for women (ptrend = 0.03). Among various anthropometric measurements, predicted fat mass and waist circumference were slightly more strongly associated with CRC risk than BMI. In conclusion, the novel anthropometric prediction equations provided further evidence that a greater amount of body fat might contribute to CRC risk in both sexes. An innovative approach enabled us to estimate the susceptibilities of specific body composition with CRC risk, in an inexpensive and minimally invasive manner. Furthermore, the typically used measures of BMI and waist circumference are robust measures of adiposity to predict cancer risk in a relatively healthy population.

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Long-term status of predicted body fat percentage, body mass index and other anthropometric factors with risk of colorectal carcinoma: Two large prospective cohort studies in the US

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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