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Predicted basal metabolic rate and cancer risk in the European Prospective Investigation into Cancer and Nutrition
Author(s) -
Kliemann Nathalie,
Murphy Neil,
Viallon Vivian,
Freisling Heinz,
Tsilidis Konstantinos K.,
Rinaldi Sabina,
Mancini Francesca R.,
Fagherazzi Guy,
BoutronRuault MarieChristine,
Boeing Heiner,
Schulze Matthias B.,
Masala Giovanna,
Krogh Vittorio,
Sacerdote Carlotta,
Magistris Maria S.,
BuenodeMesquita Bas,
Weiderpass Elisabete,
Kühn Tilman,
Kaaks Rudolf,
Jakszyn Paula,
RedondoSánchez Daniel,
Amiano Pilar,
Chirlaque MariaDolores,
Gurrea Aurelio B.,
Ericson Ulrica,
Drake Isabel,
Nøst Therese H.,
Aune Dagfinn,
May Anne M.,
Tjønneland Anne,
Dahm Christina C.,
Overvad Kim,
Tumino Rosario,
Quirós Jose R.,
Trichopoulou Antonia,
Karakatsani Anna,
La Vecchia Carlo,
Nilsson Lena M.,
Riboli Elio,
Huybrechts Inge,
Gunter Marc J.
Publication year - 2019
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.32753
Subject(s) - european prospective investigation into cancer and nutrition , medicine , basal metabolic rate , hazard ratio , prospective cohort study , colorectal cancer , cancer , obesity , proportional hazards model , breast cancer , endometrial cancer , endocrinology , oncology , confidence interval , gastroenterology
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 1‐SD ]: 2.46; 95% CI 1.20; 5.03) and distal colon cancer (HR 1‐SD : 1.33; 95% CI 1.001; 1.77) among men and with proximal colon (HR 1‐SD : 1.16; 95% CI 1.01; 1.35), pancreatic (HR 1‐SD : 1.37; 95% CI 1.13; 1.66), thyroid (HR 1‐SD : 1.65; 95% CI 1.33; 2.05), postmenopausal breast (HR 1‐SD : 1.17; 95% CI 1.11; 1.22) and endometrial (HR 1‐SD : 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.