The effect of missing data in the supplements to McCance and Widdowson's food tables on calculated nutrient intakes

Citation
I. Cowin et P. Emmett, The effect of missing data in the supplements to McCance and Widdowson's food tables on calculated nutrient intakes, EUR J CL N, 53(11), 1999, pp. 891-894
Citations number
15
Categorie Soggetti
Endocrynology, Metabolism & Nutrition
Journal title
EUROPEAN JOURNAL OF CLINICAL NUTRITION
ISSN journal
09543007 → ACNP
Volume
53
Issue
11
Year of publication
1999
Pages
891 - 894
Database
ISI
SICI code
0954-3007(199911)53:11<891:TEOMDI>2.0.ZU;2-C
Abstract
Objective: To assess the degree of underestimation of nutrient intakes caus ed by missing data in McCance and Widdowson's food tables and supplements, the standard food tables used in the UK. Subjects: 1026 children aged 18 months. Setting: A research clinic in Bristol. Interventions: A 3-day dietary diary was completed for each child. These we re coded and analysed using a database consisting of the unedited informati on in the food tables, to produce a set of 'uncorrected' nutrient intakes. 'Guesstimated' values for nutrient content were then added to our nutrient database in place of the missing values in the food tables, and the daily n utrient intakes were recalculated. Main outcome measures: Calculated daily nutrient intakes before and after s ubstituting missing data in the food tables for guesstimated values. Results: Of the 1027 foods used in the analysis, 540 had missing data for o ne or more nutrient content. For several of the nutrients examined adding g uesstimated values altered the calculated nutrient intake of more than 90% of the subjects. However, for nutrients such as the B vitamins and the majo r minerals the mean percentage underestimate was very small. We calculated the underestimation of nutrient intake to be largest for vitamins E and D ( 13.8% and 14.7%, respectively). The effect of missing data on calculated nu trient intakes was proportionately greater at the bottom end of the nutrien t intake distribution. Conclusion: Missing data has a fairly small effect on calculated mean daily intakes. However, it can result in some individuals being misranked within a nutrient intake distribution. The availability of a standard set of 'gue sstimates' to use in place of missing data would reduce this problem, and w ould improve comparability between dietary surveys. Sponsor: University of Bristol. Descriptors: food tables; missing nutrient data.