1979
DOI: 10.1093/ajcn/32.12.2546
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Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation

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Cited by 873 publications
(505 citation statements)
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“…In many of the studies reviewed methods were inadequate to classify individuals with any precision within the population distribution of true (habitual) intake, due to the large day-to-day variation within person in dietary consumption including magnesium. [15][16][17][18][19] High intra-individual variation can attenuate the absolute values of regression and correlation coefficients. 20 Thus, any potential association between magnesium intake and BP would tend to be underestimated with bias in the estimates of the regression of correlation coefficient toward a zero value (regression dilution).…”
Section: Discussionmentioning
confidence: 99%
“…In many of the studies reviewed methods were inadequate to classify individuals with any precision within the population distribution of true (habitual) intake, due to the large day-to-day variation within person in dietary consumption including magnesium. [15][16][17][18][19] High intra-individual variation can attenuate the absolute values of regression and correlation coefficients. 20 Thus, any potential association between magnesium intake and BP would tend to be underestimated with bias in the estimates of the regression of correlation coefficient toward a zero value (regression dilution).…”
Section: Discussionmentioning
confidence: 99%
“…The use of two 24HR allowed estimation of usual food intake but the period between assessment surveys (2003)(2004)(2005)(2006)(2007) can be considered large, so one could argue that changes over time could lead to differential changes in eating patterns, as well as in within-and between-person variation. However, it is known that any adjustment gives less biased results than not adjusting distributions (4,34,35) .…”
Section: Limitationsmentioning
confidence: 99%
“…A number of studies have examined the relative contributions of several sources of variation in dietary data (Liu et al, 1978;Beaton et al, 1979;Rush & Kristal, 1982;McGee et al, 1982;Todd et al, 1983;Beaton et al, 1983;Hunt et al, 1983;Sempos et al, 1985;Tangney et al, 1987;McAvay & Rodin, 1988;Nelson et al, 1989;Hartman et al, 1990;Neuhaus et al, 1991;Wassertheil-Smoller et al, 1993). These investigations have generally compared the intra-and interindividual variations within a population, but no studies have reported the relative contribution of within-population and between-population variance to total variability between populations.…”
Section: Introductionmentioning
confidence: 99%