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LETTER TO THE EDITOR |
Canadian Sugar Institute
10 Bay Street, Suite 620
Toronto, Ontario M5J 2R8
Canada
E-mail: rkaplan{at}sugar.ca
Dear Sir:
In a recent issue of the Journal, Murphy and Johnson (1) estimated the proportions of US subpopulations with intakes of added sugars exceeding 25% of energy intake, which is the "suggested" maximum according to the dietary reference intake (DRI) macronutrient report (2). This maximum was based on the decreased intake of some micronutrients in US subpopulations whose intakes of added sugars exceed this maximum (2). Unfortunately, the data of Murphy and Johnson (1) represent overestimates of the true proportion because of the use of incorrect methodology.
To assess the proportion of the population whose intakes exceed the maximum, the distribution of usual (long-term average) intakes of added sugars as a percentage of energy must be known (2). It is noted in the DRI report that average intakes of added sugars are estimated to be 15.7% of energy intake (2); however, distributions of usual intakes were not provided.
On the basis of unadjusted, 1-d, 24-h dietary recalls provided in the DRI report (2), Murphy and Johnson (1) estimated the proportion of subjects in each of 9 subgroups (categorized by age and sex) who reported intakes of >25% of energy from added sugars. They divided the number of subjects in each subgroup with intakes of >25% of energy from added sugars by the total number of participants in each subgroup and reported this as the proportion who consume >25% of energy from added sugars. They concluded that the proportion ranges from 8.7% (females aged
51 y) to 30.1% (females aged 1418 y).
The problem with these data is that they are based on unadjusted, 1-d, 24-h dietary recalls (1), which are inappropriate for determining the proportion of the population with intakes above a specified value. As noted in the DRI report on applications in dietary assessment (3), 1-d, 24-h dietary recalls can provide a good estimate of mean usual intakes in a population but overestimate variability because of large within-person variation. Thus, using 1-d, 24-h dietary recalls to estimate the proportion of a population with intakes above or below a recommended intake leads to overestimates of the true proportion (3).
The potential magnitude of the problem has been addressed (4). With the use of national survey data, the proportion of men with intakes of <30% of energy from fat was estimated by using 1-d, 24-h dietary recalls; 3-d, 24-h dietary recalls; or "usual" intakes as estimated with the use of the Iowa State University method, which controls for within-person variability. All 3 methods resulted in similar estimates of mean intake but very different estimates of the proportion with intakes below the recommended value. On the basis of 1-d intakes, 28% of men consumed <30% of energy from fat; however, when usual intake distributions were applied, only 14% of men consumed <30% of energy from fat. Thus, the estimate obtained with 1-d dietary recalls overestimated the true proportion by 100%.
It is imperative that accurate estimates of the proportion of the population whose intakes of added sugars exceed the DRI suggested maximum be determined to assess whether any public health problem exists at current intakes. The values provided by Murphy and Johnson (1) represent overestimates and should not be cited as a true representation of the proportion of the population whose intakes exceed the maximum. Until data are available on variability in usual intakes of added sugars as a percentage of energy, it is not possible to estimate the true proportion. Until then, only mean intakes, which are currently estimated to be 15.7% of energy intake in the United States (5), should be reported.
REFERENCES
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