Data from the 1994 USDA nationwide survey (CSFII) on 190 non-smoking males
(aged 20-29) were used to propose a method for adjusting total water intake
for the diuretic effects of caffeine and alcohol, and evaluate the potenti
al for related misclassification bias. The data were processed on a per mea
l basis. Under the assumption that subjects were in water balance at the st
art of the survey day, water losses due to caffeine (1.17 ml/mg caffeine) a
nd alcohol (10 ml/g alcohol) were subtracted from crude intake estimates. I
f water intake for one meal was inadequate for excretion of the associated
osmotic load at 750 mosmol/l, water losses for the subsequent meal were red
uced by 32%. Unadjusted and adjusted mean total water intakes differed by 3
21.5 g. Misclassification appeared worst at higher water intakes. Linear re
gression models, each with a water intake variable as an independent variab
le and body mass index as the outcome, were fit to evaluate the potential f
or alcohol- and caffeine-related misclassification bias. Misclassification
resulted in large changes (all >10%) in linear regression estimates of effe
ct. Future studies of water-disease relationships, especially those intendi
ng to compare extremes of total water intake, should consider caffeine- and
alcohol-related misclassification bias.