Children's school-breakfast reports and school-lunch reports (in 24-h dietary recalls): conventional and reporting-error-sensitive measures show inconsistent accuracy results for retention interval and breakfast location

Packed School Lunch Food Consumption: A Childhood Plate Waste Nutrient Analysis

Packed school lunch consumption remains a sparsely studied aspect of childhood nutrition. Most American research focuses on in-school meals provided through the National School Lunch Program (NSLP). The wide variety of available in-home packed lunches are usually nutritionally inferior compared to the highly regulated in-school meals. The purpose of this study was to examine the consumption of home-packed lunches in a sample of elementary-grade children. Through weighing packed school lunches in a 3rd grade class, mean caloric intake was recorded at 67.3% (32.7% plate waste) of solid foods, while sugar-sweetened beverage intake reported a 94.6% intake. This study reported no significant consumption change in the macronutrient ratio. Intake showed significantly reduced levels of calories, sodium, cholesterol, and fiber from the home-packed lunches (p < 0.05). The packed school lunch consumption rates for this class were similar to those reported for the regulated in-school (hot) lunches. Calories, sodium, and cholesterol intake are within childhood meal recommendations. What is encouraging is that the children were not "filling up" on more processed foods at the expense of nutrient dense foods. Of concern is that these meals still fall short on several parameters, especially low fruit/vegetable intake and high simple sugar consumption. Overall, intake moved in a healthier direction compared to the meals packed from home.

Accuracy of Reporting Food Intakes among Primary School Children Aged 7-9 Years

BACKGROUND

Accurate measurement of dietary intake throughout childhood is important to monitor children's growth and development and for their long-term health. However, measuring dietary intake in children is challenging because of misreporting, difficulties in establishing portion size, and heavy reliance on proxy reporters.

OBJECTIVES

This study aimed to determine the accuracy of self-reported food intake by primary school children aged 7-9 y.

METHODS

A total of 105 children (51% boys), aged 8.0 ± 0.8 y, were recruited from three primary schools in Selangor, Malaysia. Individual meal intakes during a school break time were determined using a food photography method as the reference method. The children were then interviewed the following day to assess their recall of their meal intakes the previous day. ANOVA and Kruskal-Wallis tests were used to determine mean differences in the accuracy of reporting food items and amount by age and weight status, respectively.

RESULTS

On average, the children achieved 85.8% match rate, 14.2% omission rate, and 3.2% intrusion rate for accuracy in reporting food items. The children also achieved 85.9% correspondence rate and 6.8% inflation ratio for accuracy in reporting food amounts. Children living with obesity had notably higher intrusion rates compared with normal weight children (10.6% vs. 1.9%) (P < 0.05). Children aged >9 y had notably higher correspondence rates, compared with children aged 7 y (93.3% vs. 78.8%) (P < 0.05).

CONCLUSIONS

The low omission and intrusion rates and the high correspondence rate indicate that primary school children aged 7-9 y are capable of self-reporting food intake accurately for a lunch meal without proxy assistance. However, to confirm children's abilities to report their daily food intakes, further studies should be conducted to assess the accuracy of children in reporting their food intakes for more than one meal in a day.

Fourth-grade children's dietary reporting accuracy by meal component: Results from a validation study that manipulated retention interval and prompts

We examined reporting accuracy by meal component (beverage, bread, breakfast meat, combination entrée, condiment, dessert, entrée, fruit, vegetable) with validation-study data on 455 fourth-grade children (mean age = 9.92 ± 0.41 years) observed eating school meals and randomized to one of eight dietary recall conditions (two retention intervals [short, long] crossed with four prompts [forward, meal-name, open, reverse]). Accuracy category (match [observed and reported], omission [observed but unreported], intrusion [unobserved but reported]) was a polytomous nominal item response variable. We fit a multilevel cumulative logit model with item variables meal component and serving period (breakfast, lunch) and child variables retention interval, prompt and sex. Significant accuracy category predictors were meal component (p < 0.0003), retention interval (p < 0.0003), meal-component × serving-period (p < 0.0003) and meal-component × retention-interval (p = 0.001). The relationship of meal component and accuracy category was much stronger for lunch than breakfast. For lunch, beverages were matches more often, omissions much less often and intrusions more often than expected under independence; fruits and desserts were omissions more often. For the meal-component × retention-interval interaction, for the short retention interval, beverages were intrusions much more often but combination entrées and condiments were intrusions less often; for the long retention interval, beverages were matches more often and omissions less often but fruits were matches less often. Accuracy for each meal component appeared better with the short than long retention interval. For lunch and for the short retention interval, children's reporting was most accurate for entrée and combination entrée meal components, whereas it was least accurate for vegetable and fruit meal components. Results have implications for conclusions of studies and interventions assessed with dietary recalls obtained from children.

Fourth-Grade Children's Reporting Accuracy for Amounts Eaten at School-Provided Meals: Insight from a Reporting-Error-Sensitive Analytic Approach Applied to Validation Study Data

BACKGROUND

Validation studies that have directly assessed reporting accuracy for amounts eaten have provided results in various ways.

OBJECTIVE

To analyze amount categories of a reporting-error-sensitive approach for insight concerning reporting accuracy for amounts eaten.

DESIGN

For a cross-sectional validation study, children were observed eating school-provided breakfast and lunch, and randomized to one of eight 24-hour recall conditions (two retention intervals [short and long] crossed with four prompts [forward, meal name, open, and reverse]).

PARTICIPANTS/SETTING

Data collected during 3 school years (2011-2012 to 2013-2014) on 455 children from 10 schools (four districts) in a southern US state.

MAIN OUTCOME MEASURES

Items were classified as matches (observed and reported), omissions (observed but unreported), or intrusions (unobserved but reported). Within amount categories (matches [corresponding, overreported, and underreported], intrusions [overreported], and omissions [underreported]), item amounts were converted to kilocalories.

STATISTICAL ANALYSES PERFORMED

A multilevel model was fit with food-level explanatory variables (amount category and meal) and child-level explanatory variables (retention interval, prompt, sex, and race/ethnicity). To investigate inaccuracy differences, t tests on three contrasts were performed.

RESULTS

Inaccuracy differed by amount category (P<0.001; in order from largest to smallest: omission, intrusion, underreported match, and overreported match), meal (P=0.01; larger for breakfast), retention interval (P=0.003; larger for long), sex (P=0.004; larger for boys), race/ethnicity (P=0.045; largest for non-Hispanic whites), and amount category×meal interaction (P=0.046). Overreported amounts were larger for intrusions than overreported matches (P<0.0001). Underreported amounts were larger for omissions than underreported matches (P<0.0001). Overall underreported amounts (from omissions and underreported matches) exceeded overall overreported amounts (from intrusions and overreported matches) (P<0.003).

CONCLUSIONS

Amount categories provide a standard way to analyze validation study data on reporting accuracy for amounts eaten, and compare results across studies. Multilevel analytic models reflecting the data structure are recommended for inference. To enhance reporting accuracy for amounts eaten, focus on increasing reports of correct items, thereby yielding more matches with fewer intrusions and omissions.