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Predicted basal metabolic rate and cancer risk in the European Prospective Investigation into Cancer and Nutrition.
- Source :
-
International journal of cancer [Int J Cancer] 2020 Aug 01; Vol. 147 (3), pp. 648-661. Date of Electronic Publication: 2019 Nov 23. - Publication Year :
- 2020
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Abstract
- Emerging evidence suggests that a metabolic profile associated with obesity may be a more relevant risk factor for some cancers than adiposity per se. Basal metabolic rate (BMR) is an indicator of overall body metabolism and may be a proxy for the impact of a specific metabolic profile on cancer risk. Therefore, we investigated the association of predicted BMR with incidence of 13 obesity-related cancers in the European Prospective Investigation into Cancer and Nutrition (EPIC). BMR at baseline was calculated using the WHO/FAO/UNU equations and the relationships between BMR and cancer risk were investigated using multivariable Cox proportional hazards regression models. A total of 141,295 men and 317,613 women, with a mean follow-up of 14 years were included in the analysis. Overall, higher BMR was associated with a greater risk for most cancers that have been linked with obesity. However, among normal weight participants, higher BMR was associated with elevated risks of esophageal adenocarcinoma (hazard ratio per 1-standard deviation change in BMR [HR <subscript>1-SD</subscript> ]: 2.46; 95% CI 1.20; 5.03) and distal colon cancer (HR <subscript>1-SD</subscript> : 1.33; 95% CI 1.001; 1.77) among men and with proximal colon (HR <subscript>1-SD</subscript> : 1.16; 95% CI 1.01; 1.35), pancreatic (HR <subscript>1-SD</subscript> : 1.37; 95% CI 1.13; 1.66), thyroid (HR <subscript>1-SD</subscript> : 1.65; 95% CI 1.33; 2.05), postmenopausal breast (HR <subscript>1-SD</subscript> : 1.17; 95% CI 1.11; 1.22) and endometrial (HR <subscript>1-SD</subscript> : 1.20; 95% CI 1.03; 1.40) cancers in women. These results indicate that higher BMR may be an indicator of a metabolic phenotype associated with risk of certain cancer types, and may be a useful predictor of cancer risk independent of body fatness.<br /> (© 2019 International Agency for Research on Cancer (IARC/WHO); licensed by UICC.)
Details
- Language :
- English
- ISSN :
- 1097-0215
- Volume :
- 147
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- International journal of cancer
- Publication Type :
- Academic Journal
- Accession number :
- 31652358
- Full Text :
- https://doi.org/10.1002/ijc.32753