Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls

Crawford, Patricia B.; Obarzanek, Eva; Morrison, John A.; Sabry, Zak I.

doi:10.1016/0002-8223(94)90158-9

Cited by 298 publications

(213 citation statements)

References 16 publications

Supporting

Mentioning

204

Contrasting

Unclassified

Order By: Relevance

“…A significantly higher estimate was found for several estimated portions/amounts (milk, soft drinks, sugar and sweets and savoury snacks) and for energy and all nutrients except calcium against the food record, while only the portion size of potatoes and the intake of fiber was overestimated in comparison with the interview format. In the literature as well underestimation of energy intake in food recalls in comparison with the validation standard (Van Horn et al, 1990;Mullenbach et al, 1992) as overestimation (Samuelson, 1970;Lytle et al, 1993Lytle et al, , 1998, as no significant difference (Crawford et al, 1994;Weber et al, 2004) has been found. Also for other nutrients, the literature suggest no distinct pattern (Mcpherson et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

Young adolescents' nutrition assessment on computer (YANA-C)

Covents²,

et al. 2005

View full text Add to dashboard Cite

Objective: To assess the relative validity and acceptability of the computerised 24-h recall 'Young Adolescent's Nutrition Assessment on Computer (YANA-C)'. Design: Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2). Main outcome measures: Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron). Subjects and setting: A total of 237 pupils (11-14 y) from two primary and four secondary schools (study 1: n ¼ 136; study 2: n ¼ 101) in Belgium-Flanders. Results: YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers (k study 1 ¼ 0.48-0.92; k study 2 ¼ 0.38-0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted k study 1 ¼ 0.11-0.55; study 2 ¼ 0.04-0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively. Conclusion: YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many nutrition research applications.

show abstract

Section: Discussionmentioning

confidence: 99%

Young adolescents' nutrition assessment on computer (YANA-C)

Covents²,

et al. 2005

View full text Add to dashboard Cite

show abstract

“…Some studies have not found significant differences between reported and observed intake for energy 7,13,14 (13- 12,14 (Cambodian 14 ), which is conventionally interpreted as underreporting. One study found that although reported energy intake significantly exceeded reference intake, the percentages of energy from protein, carbohydrate, and fat in reported and observed items did not differ significantly 9 .…”

Section: Discussionmentioning

confidence: 99%

Conventional analyses of data from dietary validation studies may misestimate reporting accuracy: illustration from a study of the effect of interview modality on children's reporting accuracy

Smith

Baxter

Hardin

et al. 2007

Public Health Nutr.

View full text Add to dashboard Cite

Objective: To compare two approaches to analysing energy-and nutrient-converted data from dietary validation (and relative validation) studies -conventional analyses, in which the accuracy of reported items is not ascertained, and reporting-errorsensitive analyses, in which reported items are classified as matches (items actually eaten) or intrusions (items not actually eaten), and reported amounts are classified as corresponding or overreported. Design: Subjects were observed eating school breakfast and lunch, and interviewed that evening about that day's intake. For conventional analyses, reference and reported information were converted to energy and macronutrients; then t-tests, correlation coefficients and report rates (reported/reference) were calculated. For reporting error-sensitive analyses, reported items were classified as matches or intrusions, reported amounts were classified as corresponding or overreported, and correspondence rates (corresponding amount/reference amount) and inflation ratios (overreported amount/reference amount) were calculated. Subjects: Sixty-nine fourth-grade children (35 girls) from 10 elementary schools in Georgia (USA). Results: For energy and each macronutrient, conventional analyses found that reported amounts were significantly less than reference amounts (every P , 0.021; paired t-tests); correlations between reported and reference amounts exceeded 0.52 (every P , 0.001); and median report rates ranged from 76% to 95%. Analyses sensitive to reporting errors found median correspondence rates between 67% and 79%, and that median inflation ratios, which ranged from 7% to 17%, differed significantly from 0 (every P , 0.0001; sign tests). Conclusions: Conventional analyses of energy and nutrient data from dietary reporting validation (and relative validation) studies may overestimate accuracy and mask the complexity of dietary reporting error. Keywords Validation Relative validation Epidemiological methods Dietary assessmentValidation and relative validation studies of dietary reporting methods are conducted to evaluate the extent to which those methods elicit accurate reports; this involves comparing reports obtained by such methods as 24-hour recalls and food-frequency questionnaires (FFQs) with reference information obtained by such methods as direct observation, duplicate portion collection or food records. The reported and reference information each consist of a set of food items and their respective amounts. (Table 1 shows terms used in this article and their definitions.) Assessment of reporting accuracy for a group of participants often begins with converting both reported and reference information to energy and nutrients. After cumulating, for each participant, the energy and nutrients within each set, analyses involve several descriptive measures and inferential tests (see e.g. references 1-14). First, paired t-tests may be used to compare the mean of the participant-specific differences between reported and reference energy and nutrients with 0. Second, th...

show abstract

“…Girls completed a three-day food diary and a three-day physical activity diary (AD) at baseline. These measures were described in detail elsewhere [26,27]. Both diaries included one weekend day and two weekdays.…”

Section: Covariatesmentioning

confidence: 99%

“…The completed food and activity diaries were reviewed by centrally trained and certified nutritionists at the Nutrition Coordinating Center at the University of Minnesota for the first two years and thereafter at the Dietary Data Entry Center at Cincinnati Children's Hospital, using the Nutrient Data System developed by the University of Minnesota. The NGHS dietary data collection method has been previously validated [26]. The estimation of daily activity levels was based on the sum of the recorded activities, which were scored with approximate metabolic equivalent (MET) levels and duration of the activity [27].…”

Section: Covariatesmentioning

confidence: 99%

Socioeconomic status in relation to early menarche among black and white girls

Braithwaite

Moore

Lustig

et al. 2008

Cancer Causes Control

115

102

View full text Add to dashboard Cite

Objective Early menarche is a risk factor for breast cancer. We investigated the variation in age at menarche by socioeconomic status (SES) and race. Methods A cohort study was conducted on 1,091 black and 986 white girls from the three sites in the United States as part of the NHLBI Growth and Health Study (NGHS), who were aged 9-10 years at baseline and followed through adolescence over a 10-year period with annual exams. Using logistic regression models, we evaluated the nature and strength of associations between two socioeconomic indicators (household income and parental education) and early menarche (\12 years old) unadjusted and adjusted for anthropometry and maternal age at menarche. Results Proportionately, more black girls were menarcheal before 12 years of age compared to their white counterparts (46%, n = 468 vs. 26%, n = 240, respectively, p \ 0.0001). Parental education was not a significant predictor of early menarche. The graded association between household income and age at menarche was strong and significant among black girls but less clear among white girls. Compared with those in the lowest quartile of household income, white girls in the highest quartile were at a significantly lower risk of early menarche [adjusted odds ratio (OR) = 0.37, 95% confidence intervals (CIs) 0.18-0.80]. The inverse was true for black girls: those in the highest quartile of household income were at an increased risk of early menarche (adjusted OR = 2.15, 95% CI 1.27-3.63) Conclusion The SES factor selected (household income versus parental education) affected the findings regarding racial differences in the timing of menarche. It will be important for future studies to elucidate the link between household income and age at menarche in developed countries.

show abstract

Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls

Cited by 298 publications

References 16 publications

Young adolescents' nutrition assessment on computer (YANA-C)

Young adolescents' nutrition assessment on computer (YANA-C)

Conventional analyses of data from dietary validation studies may misestimate reporting accuracy: illustration from a study of the effect of interview modality on children's reporting accuracy

Socioeconomic status in relation to early menarche among black and white girls

Contact Info

Product

Resources

About