To compare the school lunch consumption of Texas middle-school students with the 2009 Institute of Medicine's (IOM) school meal report recommendations. These new lunch menu patterns increase fruit to one serving and vegetables to two servings, with 50 % wholegrain food.

Lunch food records were collected from middle-school students from four schools in south-east Texas in the spring of 2008, and entered into the Nutrition Data System for Research software. Average intake was calculated for those consuming meals according to the National School Lunch Program (NSLP; n 5414) and for those consuming lunch from other sources (n 239). The percentage of students selecting each food group was calculated.

Middle schools in south-east Texas.

Middle-school students in south-east Texas.

Students consuming NSLP meals reported consuming almost serving of fruit, serving of vegetables, 8 oz of milk and serving of whole grains at lunch. Non-NSLP consumers reported almost no intake of fruit, vegetables or milk, and consumed serving of whole grains at lunch. Among NSLP consumers, about 40 % selected and consumed a fruit serving. About two-thirds of students selected a vegetable, consuming about 67 %. Less than 4 % selected a dark green or orange vegetable.

Students’ lunch intake did not meet the new IOM recommendations. Few students selected dark green or orange vegetables, and only 40 % selected fruit. Whole grains consumption was low. Interventions with all stakeholders will be necessary to improve students’ food and beverage selections overall when school meal patterns are revised.

To test the effect of image size and presence of size cues on the accuracy of portion size estimation by children.

Children were randomly assigned to seeing images with or without food size cues (utensils and checked tablecloth) and were presented with sixteen food models (foods commonly eaten by children) in varying portion sizes, one at a time. They estimated each food model’s portion size by selecting a digital food image. The same food images were presented in two ways: (i) as small, graduated portion size images all on one screen or (ii) by scrolling across large, graduated portion size images, one per sequential screen.

Laboratory-based with computer and food models.

Volunteer multi-ethnic sample of 120 children, equally distributed by gender and ages (8 to 13 years) in 2008–2009.

Average percentage of correctly classified foods was 60·3 %. There were no differences in accuracy by any design factor or demographic characteristic. Multiple small pictures on the screen at once took half the time to estimate portion size compared with scrolling through large pictures. Larger pictures had more overestimation of size.

Multiple images of successively larger portion sizes of a food on one computer screen facilitated quicker portion size responses with no decrease in accuracy. This is the method of choice for portion size estimation on a computer.