Some Issues and Problems in the Usefulness of Chemical Composition Data across Boundaries

Bressani, Ricardo

doi:10.1177/156482659201400219

Cited by 1 publication

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“…For the few foods not available in these tables and for calculating the intakes of zinc, vitamin B-12, and folate, values were imputed from Canadian food tables (Dubuc and Lahaie, 1994). Using cross-border food composition tables may be problematic (Bressani, 1992), but, if the error in composition esti-mates are random, not biased, the likely effect on estimated intake is minimal (Beaton, 1987) (although when the diet is analyzed in small groups of foods, as in this paper, it is increasingly likely that random errors in the composition tables influence the estimates of intakes).…”

Section: Data Collection Methodsmentioning

confidence: 99%

Demographic and socioeconomic determinants of variation in food and nutrient intake in an Andean community

Berti

Leonard

1998

Am. J. Phys. Anthropol.

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Understanding the sources of variation in a community's diet is vital for development work, as well as being a source of anthropological and cultural insights. Previous surveys in the South American Andes suggest that nutrient deficiencies may be widespread; however, such interpretations have remained tentative since variance in Andean populations' diet has not been thoroughly examined. In this paper we consider the variation in diet due to variation in age, sex, and socioeconomic status and variation attributed to inter- and intraindividual variation in the diet. One to six days of dietary data (mean = 3.1) were collected via 24 h recalls from 221 residents of a small, rural community in highland Ecuador. The contribution of various food groups to the diet varied with land holdings and age but not sex. For example, animal-derived foods contribute more and tubers contribute less to the diet of the households with > or = 5 Ha, and sweets contribute more to the diet of children. The interindividual variation in energy and nutrient intake was low and the intraindividual variation high relative to developed countries. The consequence are twofold. First, because interindividual variability is low, group mean intake can be estimated relatively easily, facilitating group comparisons. Second, because intraindividual variation is high, individual nutrient intake cannot be easily estimated, which will decrease the ability to detect associations between nutrient intake and health measures. This knowledge of the sources of dietary variation can lead to better study and survey designs in the rural Andes and elsewhere in the developing world.

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Section: Data Collection Methodsmentioning

confidence: 99%