Diet variability in university young women: the influence on dietary evaluation criteria
DOI:
https://doi.org/10.17533/udea.penh.9388Keywords:
diet, coefficient of variation, food frequency questionnaire, checklist, nutritional epidemiology, variability, diet surveysAbstract
There are no many publications analyzing daily diet variability, because of data collection in multiple days is very difficult, and validity of dietary data collection methods such as 24 hours recalls or food questionnaires depend on this variability. Daily food intake of 43 students from the university was evaluated during 28 days, using a self report food consumption diary. Participants were trained in data collection and weekly controls were done to verify the accuracy of data. A strong heterogeneity between variances in energy and nutrients intake was found; this means that the data collection methods applied in clinical practice and research are incorrect. These methods are using to collect data in a range of 1 to 7 days, but the most common is to get dietary information in 2-3 days. The outcomes of this study showed that this food collecting data model doesn’t match with population’s food variability patterns. Therefore it is necessary to consider a probability distribution in order to represents the population’s food habits variability. Differences in variability had an important effect on the number of days that are needed to estimate individual consumption patterns.
Downloads
References
Monterrey P, Cortés Y. El análisis de la dieta (I): Los fundamentos de las ingestiones dietéticas de referencia. Lect Nutr. 2004;11:39-54.
Willett W. Nutritional epidemiology. 2 ed. New York: Oxford University Press; 1998.
Guenther P, Kott P, Carriquiry A. Development of an approach for estimating usual nutrient intake distributions at the population level. J Nutr. 1997;127:1106-12.
Nusser S, Carriquiry A, Dodd K, Fuller W. A Semiparametric approach to estimating usual daily intake distributions. JASA.1996;91:1440-9.
Food and Nutrition Board, Institute of Medicine. Dietary reference intakes. Applications in dietary assessment. A report of the Subcommittee on Interpretation and Uses of DRI and the Standing Committee on the Scientific Evaluation of DRI. Washington DC: National Academies Press; 2000.
Murphy ZP, Barr S, Poos M. Using the new dietary reference intakes to assess diets: a map to the maze. Nutr Rev.2002;60:267-75.
Gibson R. Principles of nutritional assessment. 2nd ed. New York: Oxford University Press; 2005.
Beaton GH, Milner J, Corey P, McGuire V, Cosins M, Stewart E, et al. Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr. 1979;32:2546-59.
Hankin j, reynolds w, margen s. a short dietary methods for epidemiologic studies: ii. variability of measured nutrient intakes. Am J Clin Nutr. 1967;20: 935-45.
McGee D, Rhoads G, Hankin J, Yano K, Tillotson J. Within-person variability of nutrient intake in a group of Hawaiian men of Japanese ancestry. Am J Clin Nutr. 1982;36: 657-63.
Basiotis P, Welsh S, Cronin F Kelsay J Mertz W. Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence. J Nutr. 1987;117:1638-41.
Palaniappan U, Cue RI, Payette H, Gray-Donald K. Implications of day-to-day variability on measurement of usual food and nutrient intakes. J Nutr. 2003;133: 232-5.
Jackson KA, Byrne NM, Magarey AM, Hills AP. Minimizing random error in dietary intakes by 24-h recall, in overweight and obese adults. Eur J Clin Nutr. 2008;62:537-43.
Harbottle L, Duggan MB. Daily variation in food and nutrient intakes of Assian children in Sheffield. Eur J Clin Nutr. 1994;48:66-70.
Sempos CT, Johnson NE, Smith EL, Gilligan C. Effect of intraindividual and interindividual variation in repeated dietary records. Am J Epidemiol. 1985;121:120-30.
Tsubono Y, Fahey M, Takahashi T, Iwase Y, Litoi Y, Akabane M, et al. Interpopulation and intrapopulation variability of nutrient intake in five regions of Japan. Eur J Clin Nutr. 1998;52:176-9.
Cai H, Yang G, Xiang Y-B, Hebert J, Liu D-K, Zheng W, et al. Sources of variation in nutrient intakes among men in Shangai, China. Public Health Nutr. 2005;8:1293-9.
Tarasuk V, Beaton GH. The nature and individuality of within-subject variation in energy intake Am J Clin Nutr. 1991;54:464-70.
Tarasuk V, Beaton GH. Day-to-day variation in energy and nutrient intake: evidence of individuality in eating behavior. Appetite. 1992;18:43-54.
Herrán O, Quintero D, Ardila M. Fuentes y magnitud de la variación de la dieta de adultos de Bucaramanga, Colombia. Rev Chil Nutr. 2006;33:55-64.
Centro de Atención Nutricional. Tabla de composición de alimentos. de Medellín; 2003.
Sterne JA, Smith GD. Sifting the evidence-what´s wrong with significance tests? Br Med J. 2001;322:226-31.
Instituto Colombiano de Bienestar Familiar. Recomendaciones de consumo diario de calorías y nutrientes para la población colombiana. Bogotá: ICBF; 1992.
Monterrey P, Cortés Y, Corredor C, Acosta A, Caicedo P. Variabilidad de la ingestión calórica total de las mujeres jóvenes universitarias: sus implicaciones en la evaluación dietética. Aprobado para publicar en Lecturas sobre Nutrición.
Freedman L, Carroll R, Wax Y. Estimating the relation between dietary intake obtained from a food frequency questionnaire and the true average intake. Am J Epidemiol. 1991;134:310-20.
Downloads
Published
How to Cite
Issue
Section
License
Derechos de autor 2024 Universidad de Antioquia
