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2003 AUG 7 - (NewsRx.com & NewsRx.net) -- Imprecise methods of assessing dietary intake could be potentially obscuring a link between increased fat intake and breast cancer, suggest authors of a research letter in the July 18, 2003, issue of the Lancet.
Results of studies in which biological markers have been used as the reference method for assessment of dietary intake for selected nutrients suggest that the degree of error associated with food-frequency questionnaires (FFQs) is considerably larger than previously estimated. This could explain the lack of an association between increased fat intake and breast cancer in population studies.
Sheila Bingham from the MRC Dunn Human Nutrition Unit, Cambridge, U.K., and Cambridge University colleagues assessed the relation between breast-cancer risk and fat intake with an FFQ similar to those used in previous population (cohort) studies and a 7-day food diary completed by women in the European Prospective Investigation of Cancer and Nutrition (EPIC) Norfolk study.
Around 13,000 women were studied using a FFQ and 7-day food diary between 1993 and 1997. Of these, 168 had developed breast cancer by the year 2000, at which time analysis of fat intake was assessed for each woman with breast cancer compared with four healthy controls matched for age and other factors to take account of possible bias.
Women in the upper quintile (top 20%) for saturated-fat consumption were at twice the risk of breast cancer than women in the lowest quintile when fat intake was assessed by the food diary; however no association was evident between increased saturated fat intake and breast-cancer risk with use of the FFQ.
Specifically, the researchers found that women who had eaten more than 90 g of fat per day had twice the risk of breast cancer of those who had eaten less than 40 g of fat per day.
"Inconsistency between experimental and epidemiological data on fat and breast-cancer risk could thus be accounted for by problems with methods used in cohort studies to measure diet. The food diary is more expensive to code for conversion into nutrients than the FFQ, but we have shown that its use is acceptable and feasible in large cohort studies," said Bingham.
Source: HighBeam Research, Research methods could mask association with high fat intake.