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. Author manuscript; available in PMC: 2016 Feb 3.
Published in final edited form as: Prev Med Rep. 2015 May 23;2:440–443. doi: 10.1016/j.pmedr.2015.05.007

Changes in foods selected and consumed after implementation of the new National School Lunch Program meal patterns in southeast Texas

Karen W Cullen a, Tzu-An Chen a, Jayna M Dave a
PMCID: PMC4474475  NIHMSID: NIHMS697015  PMID: 26101737

Abstract

Objective

We compared elementary students’ school lunches selected and consumed before (Spring, 2011) and after (Spring, 2013) implementation of the new National School Lunch Program meal patterns in the fall of 2012.

Method

Students in eight elementary schools in one Southeast Texas school district were observed during lunch: foods selected/consumed were recorded. The percentage of students who selected each food group was compared between years, as were the differences in consumption and the percent of food consumed by year, for students who selected the food group. All analyses controlled for student gender and grade and school free/reduced price meal status.

Results

Observations were conducted for 472 (2011) and 573 (2013) students. Significantly more 2013 students selected fruit, 100% juice, total fruit + 100% juice, other vegetables, whole grains, protein foods and milk, but fewer selected starchy vegetables. For those students selecting them, significantly more total fruit + 100% juice and red orange vegetables, but significantly less other vegetables, legumes, and protein foods were consumed. There were no differences in waste of fruit, whole grains, or vegetables, with the exception of legumes. More legumes were wasted in 2013 than 2011.

Conclusion

The findings that students had similar consumption rates for fruit, whole grains, and most vegetables in this study are encouraging. Regular monitoring of student food selection and consumption at school is needed to assess whether the new meal patterns improve intake at school.

Keywords: school lunch meal patterns, children, lunch consumption, school

Introduction

The 2010 Healthy, Hunger-Free Kids Act required an update to the National School Lunch Program (NSLP) standards to align them with the United States Dietary Guidelines1, 2. Changes in the new meal patterns included increasing the previous lunch pattern of two fruit and vegetables servings to three (two vegetable and one fruit) per meal1, 2 and weekly servings of vegetable subgroups were specified in the standards. Students have to select one fruit or vegetables serving for the meal to count as reimbursable1, 2. Half of the grains served had to be rich in whole grains. Kilocalorie (kcal) levels were set for elementary (550–650 kcal), grades 6–8 (600–700 kcal), and high school (750–850 kcal). A gradual reduction in the sodium content of the meals over 10 years was planned.

Concerns about the new meal patterns have been raised3. These have included increased food waste, because of the new OVS requirement, especially for fruit and vegetables. Previous school studies conducted before 2012 have documented fruit waste of 42%4, 37.2–54.8%5, and 37–47%6; and vegetable waste of `30–90%46.

Only three studies have examined food selection and waste before and after the 2012 implementation. Cohen and colleagues (2014) reported that significantly more students in grades 3–8 selected fruit post policy (75.7%), compared with pre-policy (52.7%), but there was no difference in amount consumed for those selecting the item. Although there was no difference in the percentage of students selecting vegetables, significantly more was consumed for those selecting vegetables (41.1%), compared with pre-policy (24.9%)4. In a 2013 plate waste study with pre-kindergarten and kindergarten students, data from 304 meals documented that 33% of fruit and 51.4% of vegetables were wasted, but waste data prior to the new meal patterns was not assessed for comparison7. Food selection and waste data were also collected from low-income middle school students in 12 schools before (spring 2012) and after (spring 2013 and 2014) implementation of the new NSLP meal patterns8. Significantly more students selected fruit in 2014 (66%) compared with 2012 (54%), with no difference in the percentage consumed (72 and 74%). Although the percentage of students selecting a vegetable declined from 68% in 2012 to 52% in 2014, the amount consumed increased from 45.6% to 63.6%, reflecting less vegetable waste.

This study investigated whether elementary student food selection and consumption changed after implementation of the new NSLP meal patterns. We hypothesized that greater amounts of fruit and vegetables would be selected and consumed by students after implementation.

Methods

This study was conducted during the spring semesters of 2011 and 2013 with elementary school students in eight schools in one school district in southeast Texas9. In 2011, the Director of the Child Nutrition Department selected the schools based on eligibility for free or reduced price meals (FRP): four low (49–79% FRP) and four middle income elementary schools (7–18% FRP). In 2011, there was an average of 716 students per school; 6% African-American, 34% Hispanic, 49% White and 11% Other. In 2013, the average number of students in the schools was 731; 7% were African-American, 37% Hispanic, 46% White, and 10% Other.

The study was approved by the Institutional Review Board at Baylor College of Medicine. The district superintendent and the principals of each school agreed to participate in the study. Observations were conducted anonymously, therefore individualized parental consent was not required.

Trained research staff observed students during lunch and recorded foods selected and consumed on preprinted checklists. The district used a 2-week cycle menu. All foods provided on the menus and sold as a la carte were preprinted on an observation checklist. There were columns to check the foods the student selected in the cafeteria line, and identify source (using codes for NSLP, home, a la carte, friend, etc.), and whether food was given away, spilled or obtained in purchase or trade. For each item, the amount eaten was recorded using the quarter waste method (0, ¼, ½, ¾, all), which has high inter-rater and inter-method reliability.10 Student gender and grade level were also recorded.

The student selection and observation procedures are reported in previous paper9. Briefly, trained research staff were assigned to specific schools and visited each school weekly to obtain 8–10 observations per grade level over an 8-week period. Elementary school classrooms were assigned a table and this information was used so that equal numbers of students in each grade and equal numbers of boys and girls were observed over the semester. Each data collector first checked the observation checklist with the cafeteria line lunch items and menu for the day. Then the observer selected three to four students with a reimbursable NSLP meal, defined as a meal containing at least three of the five lunch food group components, who approached and then sat at the tables to be observed that day. The observations of these selected students were conducted unobtrusively from a distance.

The foods selected and consumed were entered into separate Nutrition Data System for Research (NDSR) files (version 2011, Nutrition Coordinating Center, University of Minnesota) to obtain student nutrient and food group intakes for meals selected and consumed11, 12. The food groups were fruit, 100% fruit juice, total fruit+100%fruit juice, vegetables [total, dark green, red-orange, starchy (e.g., white potatoes, corn, peas), other (e.g., green beans, celery), legumes, high fat vegetables (e.g., french fries)], grains (e.g., breads, pasta), protein foods (e.g., meat, poultry, fish, cheese), snack chips, sugar sweetened beverages, desserts, and milk.

The percentage of elementary students who selected each food group was compared between 2011 and 2013 using the Cochran-Mantel-Haenszel chi-square tests, adjusting for student sex, student grade, and school FRP. A mixed-effects regression analysis, controlling for student gender and grade and school FRP, examined whether students’ consumption of calories and food groups and the percent of food groups consumed differed by year, for students who selected the food group. All the analyses were performed using SAS (version 9.3, 2011, SAS Institute Inc.).

Results

Observations were conducted for 472 and 573 elementary students in the spring of 2011 and 2013, respectively; approximately 50% were boys and 50% attended low income schools.

Compared with students in 2011, a significantly greater proportion of 2013 students selected fruit, 100% fruit juice, total fruit +100% fruit juice, other vegetables, total grains, whole grains, protein foods, (p<0.001 for all ) and milk (p<0.05), but a lower proportion of starchy vegetables (p<0.05). The average kcal selected in 2011 and 2013 were 643 and 651, respectively (Table 1).

Table 1.

Differences in total calories selected per lunch and percent of elementary school students in southeast Texas selecting each food component in Spring 2011 and Spring 2013a

2011 Spring 2013 Spring % Differenceb

n n

Calories (Total selected) 643.46 472 651.52 573 8.06
Fruit (%) *** 58.26 275 76.09 436 17.83
Juice (%) *** 43.86 207 60.21 435 16.35
Fruit & Juice (%) *** 81.36 384 94.07 539 12.71
Total Vegetables (%) 68.17 317 64.05 367 −4.12
  Dark Green Vegetables (%) 9.11 43 11.34 65 2.23
  Red Orange Vegetables (%) 27.31 127 28.27 162 0.96
  Starchy Vegetables (%) * 45.13 213 36.93 211 −8.2
  Other Vegetables (%) *** 35.59 168 47.29 271 11.7
  Legumes (%) 3.18 15 5.58 32 2.4
Total Grains (%)*** 85.81 405 100.00 573 14.19
Whole Grains (%) *** 5.08 24 72.43 415 67.35
Protein Foods (%) *** 96.77 450 99.83 572 3.06
Milk (%)* 90.04 425 93.19 534 3.15

Abbreviations: n, number; %, percent

a

Cochran-Mantel-Haenszel test controlling for gender, school free/reduced price meal status, and grade

b

Difference between 2011 and 2013 values

*

p<.05

***

p<.001

Compared with 2011 students, 2013 students selecting the food groups consumed significantly greater amounts of total fruit + 100% fruit juice (p<0.001) and red-orange vegetables (p<0.01), but significantly lower amounts of other vegetables, legumes, and protein foods (p<0.05 for all) (Table 2).

Table 2.

Differences in the mean amounts of calories and food groups consumed for those elementary school students in southeast Texas selecting the item in Spring 2011 and Spring 2013 a


Consumed Amount Differenceb

2011 Spring 2013 Spring

Mean SE Mean SE

Energy (kilocalories) 500.53 23.81 497.36 23.84 −3.17
Fruit (c) 0.32 0.04 0.38 0.03 0.06
100% Fruit Juice (c) 0.43 0.03 0.46 0.03 0.03
Fruit + Juice (c) *** 0.46 0.04 0.60 0.04 0.14
Total Vegetables (all in cup measure) 0.38 0.04 0.35 0.04 −0.03
  Dark Green Vegetables 0.13 0.04 0.21 0.03 0.08
  Red Orange Vegetables ** 0.13 0.02 0.22 0.02 0.09
  Starchy Vegetables 0.32 0.05 0.24 0.05 −0.08
  Other Vegetables * 0.18 0.03 0.10 0.02 −0.07
  Legumes * 0.22 0.05 0.07 0.05 −0.15
Total Grains (oz eq) 1.45 0.21 1.73 0.21 0.28
Whole Grains (oz eq) 0.82 0.27 0.85 0.11 0.03
Protein Foods (oz eq) * 1.82 0.12 1.56 0.12 −0.26
Milk (ozs) 5.95 0.34 5.49 0.34 −0.46

Abbreviation: SE, Standard error; c, cup; oz eq, ounce equivalent; ozs, ounces

a

Controlling for gender, school free/reduced price meal status, and grade, and taking into account the clustering effect of schools.

b

Difference between 2011 and 2013 values

b

Difference between 2011 and 2013 values

*

p<.05

**

p<.01

***

p<.001

In 2013, students consumed a lower percentage of milk than 2011 students (p<0.01) (Table 3). There were no significant differences in the percentage of fruit, vegetable, or whole grains consumed, and thus wasted, between the two years except for legumes. A greater percentage of legumes were wasted in 2013 compared with 2011 (data not shown).

Table 3.

Differences in the percent of calories and food groups consumed for those elementary school students in southeast Texas selecting the item in Spring 2011 and Spring 2013 a


% Consumed

2011 Spring 2013 Spring Difference b

Mean SE Mean SE

Energy (kilocalories) 78.08 2.65 77.21 2.66 −0.87
Fruit (c) 70.13 5.39 69.18 5.30 −0.95
100% Fruit Juice (c) 85.69 4.76 86.90 4.61 1.21
Fruit + Juice (c) 79.39 3.84 76.62 3.81 −2.77
Total Vegetables (all in cup measure) 68.46 5.36 68.11 5.47 −0.35
  Dark Green Vegetables 43.69 7.00 45.18 6.07 1.49
  Red Orange Vegetables 64.42 5.98 70.57 6.25 6.15
  Starchy Vegetables 68.72 5.53 79.99 5.83 11.27
  Other Vegetables 69.44 5.25 65.70 4.82 −3.74
  Legumes* 45.35 12.33 28.34 12.26 −17.01
Total Grains (oz eq) 65.02 6.13 67.64 6.12 2.62
Whole Grains (oz eq) 88.33 10.13 73.91 2.58 −14.42
Protein Foods (oz eq) 85.77 10.40 79.81 10.42 −5.96
Milk (ozs) ** 78.83 5.53 68.09 5.58 −10.74

Abbreviation: SE, Standard error; c, cup; oz eq, ounce equivalent; ozs, ounces

a

Controlling for gender, school free/reduced price meal status, and grade, and taking into account the clustering effect of schools.

b

Difference between 2011 and 2013 values

*

p<.05

**

p<.01

***

p<.001

The energy content of the selected meals for each period (approximately 643 kcal in 2011 and 652 kcal in 2013) were very close to the new guidelines limit (650 calories) (Table 1). However, the actual mean consumption for both groups was less than the 550 kcal lower limit; approximately 501 kcal in 2011 and 497 kcal in 2013) (Table 2).

Discussion

An increase in the amount of food wasted by students is a major concern that has been raised in reference to the new NSLP meal patterns, particularly because students are required to select at least one serving of a fruit or vegetable for the meal to qualify as reimbursable3. Without this requirement, studies conducted before 2012 documented lunch fruit waste of 37–54.8%5, and vegetable waste of 30–90%46. This study documented that with the new NSLP meal patterns, more students selected fruit and 100% fruit juice, other vegetables, and whole grains; and more total fruit+100% fruit juice and red-orange vegetables were consumed, compared with 2011 lunch meal data. Student waste only increased for milk and legumes.

Only two previous studies assessed food selection and consumption before and after the 2012 implementation of the new meal patterns. In the first, significantly more students selected fruit post implementation, but there was no difference in amount consumed for those selecting fruit4. There were no differences in the percentage of students selecting vegetables before and after implementation; but, for those selecting vegetables, significantly more was consumed after implementation4. Food selection and waste data were also collected from middle school students in 12 low-income schools before (spring 2012) and after (spring 2013 and 2014) implementation of the new NSLP meal patterns8. The percentage of students selecting fruit significantly increased from 54% in 2012 to 66% in 2014, with no difference in the amount consumed (72 and 74%). Although the percentage of students selecting a vegetable declined from 68% in 2012 to 52% in 2014, the amount consumed increased from 45.6% to 63.6%, reflecting less vegetable waste8. The percentage of students in the current study selecting fruit (~58% in 2011 and ~76% in 2013) and the percentage of fruit consumed (~70% in 2011 and ~69% in 2013) are similar to the published values. Although, the percentage of students selecting vegetables prior to the new meal patterns was similar in the current study (~68%), it was higher than the Schwartz et al. study afterwards (~64%). The percentage of vegetables consumed was stable at about 68% for both years.

Finally, in a pilot study testing the new fruit and vegetable meal patterns in 2011, fruit waste was 31% and vegetable waste was 60% for elementary school students9. The rates were not significantly different than the control school students in that study9.

The amount of calories consumed were lower than previously reported data. For elementary school students in a national study during the 2004–05 school year, the mean lunch intake was 587 kcal13. The slightly lower values in the current study may be the result of the more objective method of obtaining dietary intake (observation by trained staff) in contrast to the self-report method used in the previous study that required portion size estimation by students. However, a Colorado study used digital photography of the foods selected and left at the end of the meal reported a lower mean intake of 426 kcal6. Perhaps students in that study obtained foods from friends or the snack bar and the wrapper or container were not on the trays. Whether student energy needs are met by school meals is an important area for future research, especially for those children for whom the school lunch meals are an important safety net for meeting food needs.

The generally low consumption of fruit and vegetables in this study is a concern. Future research efforts should target improving student food preferences, selection, and consumption. Verbal prompts from cafeteria staff14, improved cafeteria design and food presentation1517, taste testing, marketing and media campaigns1821 were found to influence student selection and consumption in the cafeteria. Support and training for school food service staff is also needed21.

Several limitations should be noted. The study was conducted in eight elementary schools in the Houston area; approximately 40% of students were eligible for FRP meals compared with 66% of Texas students during 201222. Thus the findings from this district might not generalize to Texas and the US, or to students in middle or high schools. There was non-random selection of the schools and students who were observed, and students were not tracked between the two semesters. The amount consumed was assessed by observation, not weighing the foods left on the tray.

The findings from this study are encouraging. Regular monitoring of student food selection and consumption at school is needed to assess whether the new meal patterns improve intake at school.

Highlights.

  • We compared student lunches before and after new USDA meal patterns were implemented.

  • More students selected fruit, juice, and some vegetables after implementation.

  • Students ate more fruit plus juice, and red-orange vegetables after implementation.

  • The percent of fruit, total vegetables and whole grain consumed did not differ.

Acknowledgments

FUNDING/SUPPORT

This study was supported by funding from the National Institutes of Health to Karen W. Cullen (no. R01HD068349). The project was funded in part by federal funds from the USDA/Agricultural Research Service under cooperative agreement no. 6250-51000-053.

Footnotes

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STATEMENT OF POTENTIAL CONFLICT OF INTEREST

The authors have no potential conflict of interest to report.

References

  • 1.Food and Nutrition Service - U.S. Department of Agriculture. Nutrition standards in the National School Lunch and School Breakfast Programs. Final rule. Fed Regist. 2012;77(17 Part II):4088–4167. [PubMed] [Google Scholar]
  • 2.Food and Nutrition Service - U.S. Department of Agriculture. [Accessed 2014 August 14];Healthy, Hunger-Free Kids Act of 2010 . 2010 Updated. 2014 Mar 3; Available from: http://www.fns.usda.gov/cnd/Governance/Legislation/CNR_2010.htm.
  • 3.Woo Baidal JA, Taveras EM. Protecting progress against childhood obesity--the National School Lunch Program. N Engl J Med. 2014;371(20):1862–1865. doi: 10.1056/NEJMp1409353. [DOI] [PubMed] [Google Scholar]
  • 4.Cohen JF, Richardson S, Parker E, Catalano PJ, Rimm EB. Impact of the new U.S. Department of Agriculture school meal standards on food selection, consumption, and waste. Am J Prev Med. 2014;46(4):388–394. doi: 10.1016/j.amepre.2013.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Cohen JF, Richardson S, Austin SB, Economos CD, Rimm EB. School lunch waste among middle school students: Nutrients consumed and costs. Am J Prev Med. 2013;44(2):114–121. doi: 10.1016/j.amepre.2012.09.060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Smith SL, Cunningham-Sabo L. Food choice, plate waste and nutrient intake of elementary-and middle-school students participating in the US National School Lunch Program. Public Health Nutr. 2013;17(6):1255–1263. doi: 10.1017/S1368980013001894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Byker CJ, Farris AR, Marcenelle M, Davis GC, Serrano EL. Food waste in a school nutrition program after implementation of new lunch program guidelines. J Nutr Educ Behav. 2014;46(5):406–411. doi: 10.1016/j.jneb.2014.03.009. [DOI] [PubMed] [Google Scholar]
  • 8.Schwartz MB, Henderson KE, Read M, Danna N, Ickovics JR. New school meal regulations increase fruit consumption and do not increase total plate waste. Child Obes. 2015 Jun;11(3):242–247. doi: 10.1089/chi.2015.0019. Epub 2015 Mar 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cullen KW, Dave JM, Jensen HH, Chen TA. Differential improvements in student fruit and vegetable selection and consumption in response to the new National School Lunch Program regulations: A pilot study. J Acad Nutr Diet. 2015;115(5):736–743. doi: 10.1016/j.jand.2014.10.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hanks AS, Wansink B, Just DR. Reliability and accuracy of real-time visualization techniques for measuring school cafeteria tray waste: Validating the quarter-waste method. J Acad Nutr Diet. 2014;114(3):470–474. doi: 10.1016/j.jand.2013.08.013. [DOI] [PubMed] [Google Scholar]
  • 11.Cullen KW, Himes JH, Baranowski T, Pettit J, Stevens M, Slawson DL, et al. Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: Results from the Girls Health Enrichment Multisite Studies. Prev Med. 2004;38(Suppl):S24–S33. doi: 10.1016/j.ypmed.2003.05.001. [DOI] [PubMed] [Google Scholar]
  • 12.Nutrition Coordinating Center. NDSR 2013 User Manual. Minneapolis, MN: University of Minnesota; 2013. [Google Scholar]
  • 13.Gordon A, Fox MK, Clark M, Nogales R, Condon E, Gleason P, et al. School Nutrition Dietary Assessment Study III: Volume II: Student Participation and Dietary Intakes - Final Report. Princeton, NJ: Mathematica Policy Research; 2007. [Google Scholar]
  • 14.Perry CL, Bishop DB, Taylor GL, Davis M, Story M, Gray C, et al. A randomized school trial of environmental strategies to encourage fruit and vegetable consumption among children. Health Educ Behav. 2004;31(1):65–76. doi: 10.1177/1090198103255530. [DOI] [PubMed] [Google Scholar]
  • 15.Hanks AS, Just DR, Wansink B. Smarter lunchrooms can address new school lunchroom guidelines and childhood obesity. J Pediatr. 2013;162(4):867–869. doi: 10.1016/j.jpeds.2012.12.031. [DOI] [PubMed] [Google Scholar]
  • 16.Wansink B, Just DR, Hanks AS, Smith LE. Pre-sliced fruit in school cafeterias: Children's selection and intake. Am J Prev Med. 2013;44(5):477–480. doi: 10.1016/j.amepre.2013.02.003. [DOI] [PubMed] [Google Scholar]
  • 17.Wansink B, Just DR, Payne CR, Klinger MZ. Attractive names sustain increased vegetable intake in schools. Prev Med. 2012;55(4):330–332. doi: 10.1016/j.ypmed.2012.07.012. [DOI] [PubMed] [Google Scholar]
  • 18.Fulkerson JA, French SA, Story M, Nelson H, Hannan PJ. Promotions to increase lower-fat food choices among students in secondary schools: Description and outcomes of TACOS (Trying Alternative Cafeteria Options in Schools) Public Health Nutr. 2004;7(5):665–674. doi: 10.1079/PHN2003594. [DOI] [PubMed] [Google Scholar]
  • 19.Wechsler H, Basch CE, Zybert P, Shea S. Promoting the selection of low-fat milk in elementary school cafeterias in an inner-city Latino community: Evaluation of an intervention. Am J Public Health. 1998;88(3):427–433. doi: 10.2105/ajph.88.3.427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Food and Nutrition Service - U.S. Department of Agriculture. [Accessed 2014 March 31];Team Nutrition. 2013 Updated. 2014 Mar 19; Available from: http://www.fns.usda.gov/tn/team-nutrition.
  • 21.Stallings VA, Suitor CW, Taylor CL, editors. School Meals: Building Blocks for Healthy Children. Washington, D.C.: Institute of Medicine/The National Academies Press; 2009. [PubMed] [Google Scholar]
  • 22. [Accessed 2014 December 22];Center for Public Policy Priorities. State of Texas Children 2012 -Texas KIDS COUNT Annual Data Book. Available from: http://www.cppp.org/sotc/pdf/TKC2012_Final_1-page_view.pdf. [Google Scholar]

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