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© 2003 The American Society for Nutritional Sciences J. Nutr. 133:1569S-1573S, May 2003


Supplement: 11th International Symposium on Trace Elements in Man and Animals

Design and Quality Control Issues Related to Dietary Assessment, Randomized Clinical Trials and Meta-Analysis of Field-Based Studies in Developing Countries 1

Rosalind S. Gibson*,2, Sunil Sazawal{dagger} and Janet M. Peerson**

* Department of Human Nutrition, University of Otago, Dunedin, New Zealand, {dagger} Department of International Health, Johns Hopkins Bloomberg School of Public Health and Center for Micronutrient Research, Annamalai University, India and ** Program in International Nutrition, Department of Nutrition, University of California, Davis, CA

2 To whom correspondence should be addressed. E-mail: Rosalind.Gibson{at}stonebow.otago.ac.nz.

The essential design and quality control aspects of dietary assessment, randomized controlled trials (RCT) in developing countries and their subsequent meta-analysis are reviewed. Dietary assessment protocols consist of three stages: measurement of food intakes using a method appropriate for the study objectives, calculation of nutrient intakes and finally an evaluation of their nutrient adequacy. The latter may involve: 1) assessment of dietary diversity (average number of different foods consumed per day) and selected indices of dietary quality such as intakes of animal source foods (g/d); 2) percentage of energy from protein, fat and animal protein; 3) selected nutrient densities; and 4) dietary phytate:zinc molar ratio, as well as the prevalence of inadequate nutrient intakes calculated using a probability approach. To establish causality between the nutrient inadequacies identified and adverse health outcomes, RCT must be undertaken. A prerequisite of RCT is double-blind randomization, a procedure designed to eliminate biases arising from baseline confounding variables, unintended interventions and ascertainment bias. Results from existing RCT can be summarized via meta-analysis to gain a better understanding of the population relationship. Meta-analysis is a statistical technique involving linear models or generalized linear models, which can be performed after locating the individual studies, and selecting and abstracting all the necessary data.


KEY WORDS: • dietary assessment • probability analysis • randomized clinical trials • double blinding • meta-analysis




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