Accuracy of Fourth-Graders' Dietary Recalls of School Breakfast and School Lunch Validated with Observations: In-Person versus Telephone Interviews

Baxter, Suzanne Domel; Thompson, William O.; Litaker, Mark S.; Guinn, Caroline H.; Frye, Francesca H.A.; Baglio, Michelle L.; Shaffer, Nicole M.

doi:10.1016/s1499-4046(06)60196-6

Cited by 86 publications

(152 citation statements)

References 43 publications

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“…Our results indicated that the number of phantom foods (intrusions) was comparable to the number of omissions, whereas in the study of Baranowski et al (2002)-the only other study that assessed the validity of a 24-h recall software system-as well as in other studies comparing recall interviews with observations, phantom foods were less common than omitted foods (Baxter et al, 1997(Baxter et al, , 2002(Baxter et al, , 2004Baxter, 2003;Weber et al, 2004). In comparison with a 24-h dietary recall interview Baranowski et al (2002) found 24% omission and 15% intrusion rates.…”

Section: Discussionmentioning

confidence: 43%

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

Covents²,

et al. 2005

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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.

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Section: Discussionmentioning

confidence: 43%

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

Covents²,

et al. 2005

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“…Observation is commonly used to validate the accuracy of children's dietary recalls (3,8,9,12,(15)(16)(17)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39). To our knowledge, the study in which we collected these data is the only validation study to have examined the consistency of the accuracy of dietary recalls provided by children, without parental assistance, on multiple days (3).…”

Section: Discussionmentioning

confidence: 99%

Conclusions about Children’s Reporting Accuracy for Energy and Macronutrients Over Multiple Interviews Depend on the Analytic Approach for Comparing Reported Information to Reference Information

Baxter¹,

Smith²,

Hardin³

et al. 2007

Journal of the American Dietetic Association

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Objective-Validation-study data are used to illustrate that conclusions about children's reporting accuracy for energy and macronutrients over multiple interviews (ie, time) depend on the analytic approach for comparing reported and reference information-conventional, which disregards accuracy of reported items and amounts, or reporting-error-sensitive, which classifies reported items as matches (eaten) or intrusions (not eaten), and amounts as corresponding or overreported.Subjects and design-Children were observed eating school meals on one day (n = 12), or two (n = 13) or three (n = 79) nonconsecutive days separated by ≥25 days, and interviewed in the morning after each observation day about intake the previous day. Reference (observed) and reported information were transformed to energy and macronutrients (protein, carbohydrate, fat), and compared.Main outcome measures-For energy and each macronutrient: report rates (reported/reference), correspondence rates (genuine accuracy measures), inflation ratios (error measures). Statistical analyses-Mixed-model analyses.Results-Using the conventional approach for analyzing energy and macronutrients, report rates did not vary systematically over interviews (Ps > .61). Using the reporting-error-sensitive approach for analyzing energy and macronutrients, correspondence rates increased over interviews (Ps < .04), indicating that reporting accuracy improved over time; inflation ratios decreased, although not significantly, over interviews, also suggesting that reporting accuracy improved over time. Correspondence rates were lower than report rates, indicating that reporting accuracy was worse than implied by conventional measures.Conclusions-When analyzed using the reporting-error-sensitive approach, children's dietary reporting accuracy for energy and macronutrients improved over time, but the conventional approach masked improvements and overestimated accuracy.Applications-The reporting-error-sensitive approach is recommended when analyzing data from validation studies of dietary reporting accuracy for energy and macronutrients.

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“…We use data from a study conducted to determine whether children's dietary recall accuracy depends on interview modality (in-person or by telephone) 17 .…”

Section: Unreported Amountmentioning

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.

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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...

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Accuracy of Fourth-Graders' Dietary Recalls of School Breakfast and School Lunch Validated with Observations: In-Person versus Telephone Interviews

Cited by 86 publications

References 43 publications

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

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

Conclusions about Children’s Reporting Accuracy for Energy and Macronutrients Over Multiple Interviews Depend on the Analytic Approach for Comparing Reported Information to Reference Information

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

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