Validity of the 24-Hour Recall Method in Infancy: The Leiden Pre-School Children Study

Horst, C. H.; Boer, Gatske L. Obermann-de; Kromhout, D

doi:10.1093/ije/17.1.217

Cited by 19 publications

(13 citation statements)

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“…Although such differences might result from differences between the food composition values used in the preparation of the food composition table and those in this survey, we think that the differences could be greatly attributed to mineral loss due to cooking. As Horst et al (24) indicated that a difference in weights between the 24-h recall method and the duplicate-portion technique is one of the factors of the systematic difference between both methods, the differences in the mineral intakes between our study and the NHNS were thought to result from errors in the calculated values.…”

Section: Discussionmentioning

confidence: 73%

Iron, Zinc, Manganese and Copper Intakes in Japanese Children Aged 3 to 5 Years

Goshima

Murakami

Nakagaki

et al. 2008

J Nutr Sci Vitaminol

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Summary This study aimed to measure and evaluate the intakes for the four trace elements of Fe, Zn, Mn, and Cu in 3-to 5-y-old Japanese preschool children. The study group consisted of a total of 90 3-to 5-y-old children living in Yokkaichi, Mie, Japan. Diet samples were collected by the duplicate-portion technique on 3 d at three different seasons between summer in 1999 and winter in 2000. The medians of annual mean daily intakes (25th-75th percentile) of Fe, Zn, Mn, and Cu in the 3-to 5-y-old children were 3.1 mg (2.4 to 3.6), 4.0 mg (3.4 to 4.7), 1.3 mg (1.1 to 1.6), and 0.45 mg (0.35 to 0.56), respectively. The annual mean value of the total daily diet intake had significant correlations with the Fe, Zn, Mn and Cu intakes (Spearman's r ϭ 0.55, 0.67, 0.58, and 0.55, respectively; p Ͻ 0.001 for all). There were significant correlations between each mineral intake. The Zn and Mn intakes had differences among ages ( p ϭ 0.003 and 0.005, respectively) and the Zn intake significantly differed between boys and girls ( p ϭ 0.031). The proportion of subjects whose Mn intake was the AI or less was 82%, and the proportions of subjects whose Fe, Zn, and Cu intakes were the estimated average requirements (EARs) or less were 72, 83, and 13%, respectively. Many Japanese children are deficient in Fe and Zn compared with the dietary reference intakes (DRIs). However, data in a balance study examining intakes and excretion of trace minerals are insufficient in children and DRIs for trace elements may change in future.

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Section: Discussionmentioning

confidence: 73%

Iron, Zinc, Manganese and Copper Intakes in Japanese Children Aged 3 to 5 Years

Goshima

Murakami

Nakagaki

et al. 2008

J Nutr Sci Vitaminol

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“…Fat and vitamin C intake were also overestimated by 3 and 6%, respectively, although these differences did not reach signi®cance (Harbottle & Duggan, 1993). The Leiden Pre-School Children Study (Horst et al, 1988) also demonstrated systematic bias, albeit small at less than 5%, between methods when comparing 24 h recall with duplicate food portions. Energy and nutrient intake of Dutch children aged 4 ± 28 months was overestimated by the recall method.…”

Section: Validation Of Food Diary Methods For Dietary Assessment Ja Lamentioning

confidence: 99%

Validation of food diary method for assessment of dietary energy and macronutrient intake in infants and children aged 6–24 months

Lanigan¹,

Wells²,

Lawson³

et al. 2001

Eur J Clin Nutr

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Objectives: To compare the estimated food diary record (ED) method against weighed intake record method (WI) for assessing dietary intake in infants and children aged 6 ± 24 months; additionally, to compare WI with metabolisable energy intake (ME) measured by doubly labelled water (DLW) in infants aged 6 ± 12 months. Design: Cross-over study of 5 day WI vs 5 day ED. Subjects: Seventy-two children aged 6 ± 24 months. Methods: Subjects were randomly assigned to one method during week 1 crossing over to the alternative method in week 2. Data were coded and translated into daily nutrient intakes using COMP-EAT version 5 nutritional analysis software. The analysis compared energy, protein, fat and carbohydrate. Twenty-one infants were dosed with DLW for measurement of total energy expenditure (TEE) and ME. Results: Mean energy intake calculated from WI and ED was 3782 and 3920 kJaday, respectively. There was no signi®cant difference between these values. Using WI as a reference, ED showed a mean bias of 138 kJaday, equivalent to 3.6% of mean energy intake. Limits of agreement ( AE 2 s.d. of the bias) were wide at AE 1385 kJaday. There were no signi®cant differences between methods for any of the nutrient sub-classes. Using DLW as a reference, WI showed a mean bias of 243 kJaday, equivalent to 7.3% of mean energy intake, limits of agreement were wide at AE 1686 kJaday. Conclusion: There is no evidence from the present analysis that ED is less accurate than WI for assessing energy and nutrient sub-class intakes in groups of this age but this good agreement between methods in groups does not extend to individuals.

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“…The wealth index, which is an asset-based scale from 0 to 63, was adapted from the third National Family Health Study (19) and incorporated into the questionnaire. Children's nutrient intakes from complementary foods was estimated by using a 24-h dietary recall and calculated on the basis of a locally validated database of common local foods (20,21). Whether children were still receiving any breast milk was also evaluated.…”

Section: Questionnairementioning

confidence: 99%

Vitamin B-12, folate, iron, and vitamin A concentrations in rural Indian children are associated with continued breastfeeding, complementary diet, and maternal nutrition

Pasricha

Shet

Black

et al. 2011

The American Journal of Clinical Nutrition

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Background: Determinants of vitamin B-12, folate, iron, and vitamin A concentrations in young children in rural south Asia are poorly understood. These micronutrients are crucial for the production of hemoglobin and have other important physiologic functions. Objective: We sought to develop explanatory models for concentrations of vitamin B-12, folate, ferritin, and retinol binding protein (RBP) in children aged between 1 and 2 y in rural Karnataka, India. Design: We performed a cross-sectional study in 12-23-mo-old toddlers who lived in 2 rural districts of Karnataka, India. For each child, data concerning dietary, food-security, and sociodemographic and maternal factors were obtained, and serum vitamin B-12, folate, ferritin, and RBP were measured. Multiple regression and structural equation modeling were applied to determine associations with micronutrient concentrations. Results: Of 396 sampled children, 254 children (65.6%) had at least one micronutrient deficiency. With the use of multiple regression, continued breastfeeding was independently associated with the concentration of each micronutrient [(log) vitamin B-12: standardized coefficient of 20.30 (P , 0.001); folate: standardized coefficient of +0.20 (P , 0.001); (log) ferritin: standardized coefficient of 20.18 (P = 0.004); (log) RBP: standardized coefficient of20.21 (P , 0.001)]. Children who continued to breastfeed received less nutrition from complementary foods and belonged to poorer families with higher food insecurity. A structural equation model for children's vitamin B-12 concentrations was developed that highlighted the interrelation between wealth, continued breastfeeding, complementary diet, and vitamin B-12 concentrations in children.

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Validity of the 24-Hour Recall Method in Infancy: The Leiden Pre-School Children Study

Cited by 19 publications

References 0 publications

Iron, Zinc, Manganese and Copper Intakes in Japanese Children Aged 3 to 5 Years

Iron, Zinc, Manganese and Copper Intakes in Japanese Children Aged 3 to 5 Years

Validation of food diary method for assessment of dietary energy and macronutrient intake in infants and children aged 6–24 months

Vitamin B-12, folate, iron, and vitamin A concentrations in rural Indian children are associated with continued breastfeeding, complementary diet, and maternal nutrition

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