Journal of Public Health Management & Practice:
Evaluating Changes to Sodium Content in School Meals at a Large, Urban School District in Los Angeles County, California
Cummings, Patricia L. MPH; Burbage, Lindsey MPH; Wood, Michelle MPP; Butler, Rebecca K.; Kuo, Tony MD, MSHS
Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, California (Mss Cummings, Burbage, Wood, and Butler and Dr Kuo); and Department of Epidemiology, Jonathan & Karin Fielding School of Public Health (Ms Cummings), and Department of Family Medicine, David Geffen School of Medicine (Dr Kuo), University of California, Los Angeles.
Correspondence: Patricia L. Cummings, MPH, Los Angeles County Sodium Reduction Initiative, Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, 3530 Wilshire Blvd, 8th Floor, Los Angeles, CA 90010 (firstname.lastname@example.org).
This work was supported in part by a cooperative agreement from the Centers for Disease Control and Prevention (U50 DP003061). The findings and conclusions in this article are those of the authors and do not necessarily represent the views or the official position(s) of the Los Angeles County Department of Public Health, the Los Angeles Unified School District, or the Centers for Disease Control and Prevention. The authors report no conflicts of interest and have no financial disclosures.
The authors thank the staff at the Los Angeles Unified School District for their technical support of the nutritional analyses and the analysis of the food production records.
Context: Children consume more than one-third of their daily food intake in schools, suggesting that these environments are ideal places for intervening on poor dietary behaviors.
Objective: To assess the impact of strategy-focused menu planning on the sodium content of student meals served in the Los Angeles Unified School District (LAUSD).
Design: Pre- and post-LAUSD menu change analyses for school years (SY) 2010-2011 and 2011-2012 were performed using nutritional analysis data and food production records. The analyses assessed changes in sodium content by meal categories.
Setting: 900+ schools, grades K-12, operated by the LAUSD.
Participants: The LAUSD Food Services Branch, which serves about 650 000 meals per day.
Intervention: A multistage menu planning approach that focused on implementing evidence-based strategies to improve the nutritional content of school breakfast and lunch menus. Engagement and formation of multisectoral partnerships, including public health and parent/student groups, were vital elements of the intervention process.
Main Outcome Measure(s): Sodium content changes in the LAUSD menu, SY 2010-2011 versus SY 2011-2012; other measures include documentation of program reach.
Results: From SY 2010-2011 to SY 2011-2012, the mean unweighted sodium levels for elementary (K-5) breakfast and for secondary (6-12) breakfast and lunch decreased. These changes met or exceeded the 2014-2015 US Department of Agriculture sodium targets for school meals and for secondary breakfast, the 2022-2023 target(s). These results, however, were not as notable once student food selection patterns (weighted data) and condiments were considered in the analysis.
Conclusions: Use of strategy-focused menu planning as a mechanism to reduce sodium in school meals appeared to be promising, demonstrating favorable declines in mean sodium levels for at least 3 of 4 meal categories in the LAUSD. Student food selection patterns and condiments use, however, can affect the strength of the intervention.
The importance of sodium reduction to decrease cardiovascular disease risk cannot be overstated.1 A large body of evidence supports the health benefits of lowering sodium in the diet of the average person and for special populations (eg, children, African Americans, those with cardiovascular disease, and older adults).2–4 The average amount of sodium that Americans (including children) consume daily remains substantial (>3400 mg per day) and significantly higher than the Dietary Guidelines for Americans recommendations (no more than 1500 mg per day for almost half of US adults and children).5,6 Although individual choice plays an important role, the environment is the critical driving force for this public health problem.7–12 As stated throughout this supplement, the main sources of sodium are restaurant and processed foods, including foods served in school cafeterias.3,13
The literature suggests that access to foods in schools influences children's dietary behaviors, both in the short term and in the long term.2,14 Thus, schools are increasingly seen as ideal places to improve nutrition, since US children consume more than one-third of their daily food intake in these environments.15,16 The recent updates to the US Department of Agriculture's (USDA's) nutritional requirements for the federally subsidized National School Lunch Program (NSLP) and the School Breakfast Program (SBP), for example, represent transformative opportunities for public health to incorporate and further accelerate sodium reduction in the daily processes of school districts, especially in low-income, urban areas. In Los Angeles County, this translated to an unprecedented opportunity to affect change in the nation's second largest school meal program—the program operated by the Food Services Branch (FSB) of the Los Angeles Unified School District (LAUSD).
In 2010, the Los Angeles County Department of Public Health (DPH) received funding from the Centers for Disease Control and Prevention's Sodium Reduction in Communities Program (SRCP) to reduce sodium consumption at the community level through the use of system-level and environmental change strategies.17 This funding allowed the DPH to accelerate its sodium-reduction effort (the Los Angeles County Sodium Reduction Initiative) by adding staff support and technical assistance resources to an existing departmental healthy food procurement initiative; the initiative is described elsewhere in this journal supplement.18 The LAUSD school meal program was among the institutional settings that were targeted by this sodium-reduction effort. For this particular program objective, the DPH in collaboration with the LAUSD was successful in introducing and incorporating a number of sodium-reduction strategies into the LAUSD-FSB menu planning process. The strategy-focused approaches that were introduced and implemented included the following: (1) sodium limits as part of the school district's comprehensive nutrition policy, menu planning (eg, taste tests with students and parents), and food procurement (eg, working with vendors to procure lower-sodium foods); (2) environmental modifications such as signage at point-of-selection or health education materials to promote consumption of more fruits and vegetables; and (3) an awareness campaign (I'm In) to prepare students and parents for forthcoming changes to the menu (Table 1).
In this article, we discuss the evaluation of menu changes made to the LAUSD school meal program, comparing the mean sodium levels by meal categories for school years (SY) 2010-2011 (pre–menu change) and 2011-2012 (post–menu change). Of particular interest is whether the incorporation of sodium limits in the new school meal program menu for 2011-2012 resulted in actual lowering of the mean sodium content for the meals served by the LAUSD-FSB and whether the changes in the sodium content met the sodium targets recommended by the Institute of Medicine (IOM); these targets were later adopted (post–menu change) by the USDA's Final Rule for school meals on January 26, 2012.2,3 The article concludes by discussing the implications of these changes to other school districts in Los Angeles County and nationally for districts interested in taking similar action.
The USDA NSLP and the SBP require reporting from all participating school districts for compliance purposes.19 In the LAUSD, interval reporting is based on analyses of nutritional content of the NSLP and SBP menus and monitoring of food production by meal categories: elementary (K-5) breakfast and lunch and secondary (6-12) breakfast and lunch. The OneSource Point-of-Service software (Horizon Software International, Duluth, Georgia) was used to analyze all 4 menus for nutritional content. OneSource uses the USDA database as the source for food nutrient data. The software is continually updated to provide necessary data as required by the USDA NSLP. The menu items were entered into the Point-of-Service system and analyzed for total fat, saturated fat, trans fat, food energy (kilocalories), carbohydrates, cholesterol, dietary fiber, protein, iron, calcium, sodium, and vitamins A and C; this article presents data for sodium only. Through a data-sharing arrangement with the LAUSD-FSB, the DPH gained access to these nutritional analysis data for the months of October 2010 and October 2011, which corresponded to the pre– and post–menu change periods that were selected for analysis. The DPH also gained access to the food production records (up to a total of 9 months per school year); the food production records provided information on leftovers and patterns of food selection among students by food categories (eg, entrées, sides, dairy products, condiments). Both data sets (nutritional analysis and food production records) were rigorously cleaned and processed iteratively by the DPH prior to the analysis.
The mean sodium levels before and after the new menu changes were estimated by analyzing the food offerings outlined in the menus. The corresponding nutritional analysis data and food production records were extracted from the data files for October 2010 and October 2011. The month of October was selected for this comparative analysis because it offered a reasonable time window of at least 6 weeks from the start of the school year to allow for all menu changes to be fully implemented. A length of 12 months between pre–menu change (SY 2010-2011) and post–menu change (SY 2011-2012) was selected to account for operational factors (eg, procurement costs that might affect the number and type of entrées/sides produced and offered; seasonal variability, such as quality and quantity of fruits and vegetables offered; and attrition [eg, elimination of flavored milk during the school year]). For SY 2010-2011, 4 different meal categories were offered at the LAUSD: elementary breakfast, elementary lunch, secondary breakfast, and secondary lunch. For SY 2011-2012, the breakfast categories were consolidated into one category because meal offerings were the same for both elementary and secondary breakfasts. In general, the choice of offerings for elementary breakfast and lunch (meal categories) was served to students in grades K-5 whereas secondary breakfast and lunch (meal categories) were served to students in grades 6 to 12. In some schools, the grade levels were mixed (eg, K-12, continuation schools, special education); these schools were excluded after sensitivity analyses revealed no difference in mean estimates when these schools were included versus excluded from the analysis. Schools that had missing data were also excluded from the analysis. In SY 2010-2011, the LAUSD comprised 916 schools; this number increased to 938 schools in SY 2011-2012. After applying the aforementioned exclusion criteria, final sample sizes for the comparative analysis were as follows: n = 683 for SY 2010-2011 and n = 728 for SY 2011-2012. These numbers reflect the availability of the data for the school site and the completeness of food production records to weight the data. Characteristics of the schools, including enrollment for SY 2010-2011 and SY 2011-2012, are given in Table 2.
Nutritional content data: Estimating mean sodium level per meal, by meal category
The nutritional content of the SY 2010-2011 and SY 2011-2012 menus was determined using the nutritional composition records for each menu item provided by the LAUSD; these data were ascertained using the nutritional analysis software described earlier to analyze information contained in menu recipes. Each meal in each meal category was offered as an assortment or a combination of entrées, at least one side, a milk option, and condiments related to the entrée choice. To account for variation in student selection of entrées (eg, meat vs vegetable options), weights were determined using the food production records provided by the LAUSD and were applied to the mean estimates of sodium levels for each of the entrées offered in the menus. The number of entrées selected was calculated by subtracting the leftovers from the total food offered for each day. This number was used to determine the fraction of the total number of entrées served out of the total number of entrées made that day for students. Although the menu would often repeat itself throughout the month, nutritional content varied according to the daily popularity of each of the entrées. For example, the Café LA Coffee Cake was served on several occasions for breakfast in October 2010; however, the amount of sodium this item contributed to the daily nutritional content varied depending on how many students selected it compared with the other entrée available. On any given day, for all meal categories, there were at least 2 entrée options to choose from for both breakfast and lunch. The mean sodium levels for each meal were estimated on the basis of a formulaic series of calculations. These calculations took into account the mean estimates for entrées weighted by student selection pattern (as described earlier); the absolute or mean estimates for sides (sometimes only one side is offered during the meal period); the mean estimates for the choice of milk; and the mean estimates for condiments added (see equations A and B). The final estimates were based on averaging daily meal offering estimates over the month. Confidence intervals (95% CIs) were calculated for each mean estimate and used to assess whether a significant change was present in sodium content due to the new menu changes. Mean sodium levels were then compared against the IOM and USDA standards outlined in the final rule for school meals.2
The following formulas (equations A and B) for estimating mean sodium level per meal, based on the number of choices offered during the meal period, were used:
Equation (Uncited)Image Tools
Data analysis and institutional review board considerations
All calculations were performed using Statistical Analysis Software (version 9.3; SAS Institute, Cary, North Carolina). Prior to the analysis, all data sets, data management protocols, and estimation procedures were reviewed and approved by the Los Angeles County DPH's institutional review board. Since nutritional analysis data and food production records contained no individual identifying information, they were considered exempt by the institutional review board.
From SY 2010-2011 (pre–menu change) to SY 2011-2012 (post–menu change), the mean unweighted sodium levels per meal for elementary and secondary breakfast decreased by 33.8% and 53.5%, respectively. Post–menu change, the mean unweighted sodium levels per meal for elementary and secondary breakfast were both 494.3 mg (95% CI, 424.0-564.6), which met the IOM and USDA 2014-2015 elementary breakfast target and the 2022-2023 secondary breakfast target (Table 3). For secondary lunch, the mean unweighted sodium level per meal was 1089.8 mg (95% CI, 962.1-1217.6) post–menu change, a decrease of 4.2% from SY 2010-2011. For elementary lunch, however, the mean unweighted sodium level per meal increased by 10.2%.
Results were not as notable once student food selection patterns (weighted data) and condiments were considered in the analysis. After weighting, elementary breakfast mean sodium level per meal (including cond-iments) decreased by only 13.3% (mean difference = 79.5 mg) as opposed to the 33.8% decrease (mean difference = 252.5 mg) observed for the unweighted data. Similarly, the mean sodium level per meal for secondary lunch (including condiments) increased with weighting, diminishing the magnitude of the difference seen between SY 2010-2011 and SY 2011-2012 (Table 3).
With the support of the LAUSD Board of Education and early engagement of students, parents, and community stakeholders, the LAUSD-FSB in partnership with the DPH successfully changed the food offerings of the school meal program for SY 2011-2012. In concert with the Los Angeles County Sodium Reduction Initiative, the DPH was able to strategically integrate sodium reduction (eg, sodium limits and other environmental modifications such as promotion of fruits and vegetables, which are low-sodium food options) into the broader, more comprehensive agenda on health, which was adopted by the LAUSD-FSB in its menu planning for SY 2011-2012. The present findings reflect these efforts and highlight the favorable changes that took place during the SRCP experience in the LAUSD.
Indeed, the present comparative analysis indicates that mean unweighted sodium levels for 3 of 4 meal categories decreased post–menu change, suggesting that applying sodium limits to school meals is a plausible intervention for large, urban school districts such as the LAUSD, which serves about 650 000 meals per day. The addition of weighting procedures to account for student selection pattern in the mean sodium estimates (per meal) was both innovative (not previously done with regularity for this type of analysis) and necessary to draw more realistic conclusions about this strategy's impact, as individual student choices play a critical role in determining the strength of system-level and environmental change interventions.11,14 The weighted results, for example, likely reflected variations in the student selection of entrées (eg, the students consistently chose more meat options than vegetable options). Similarly, condiments played a role and affected the magnitude of the decline in sodium averages. Condiments can add in excess of 44.3 to 317.9 mg of sodium to each meal (see footnotes in Table 3). Finally, the differences observed between the menus for SY 2010-2011 and SY 2011-2012 should be interpreted conservatively, ideally within the context of LAUSD's conversion from a nutrient-based menu planning process to one that is based on food categories (food-based) (Table 1). This conversion was undertaken in response to the new USDA Final Rule and likely contributed to the further lowering of mean sodium levels by the addition of more fruits and vegetables offered in the SY 2011-2012 menu.
Results from the present analysis are subject to several limitations. First, the nutritional analysis data from the LAUSD were compiled using nutritional software that analyzed information from menu recipes. While this is generally considered an acceptable, high-quality alternative to laboratory nutrient analysis (gold standard), possible data entry and software user errors may have occurred and lessened the internal validity of the method.20 Second, cleaning, managing, and analyzing food production records was labor- and resource-intensive since these records are not collected for the sole purpose of evaluation. The records were also subject to a variety of coding errors. For example, schools sometimes coded an entrée using the incorrect recipe ID or they mislabeled the meal category (eg, elementary breakfast rather than secondary lunch). Unlike entrées and sides, recordings of condiments quantity were frequently inconsistent in these records. Third, there was a small difference in the number of schools from SY 2010-2011 to SY 2011-2012 (difference = 45 schools) included in the analysis for each of the 2 years, which reflects the availability of food production records for each school. However, the results were not significantly influenced by this difference. Finally, missing data were commonly encountered during data analysis. This, however, was expected, as real-world data files are generally not as complete or rigorously cleaned as data collected for the sole purpose of research.
The use of strategy-focused menu planning as a mechanism to reduce sodium in school meals appeared to be promising, demonstrating favorable declines in mean sodium levels for at least 3 of 4 meal categories in the LAUSD. Student food selection patterns and condiments use, however, appeared to affect the strength of the intervention. More research and evaluation are clearly warranted to study these and other complex food selection behaviors and menu change interventions in public schools. Findings and lessons learned from this analysis provide real-world context and data that have utility for informing menu planning in other school districts interested in taking similar action as the LAUSD.
1. Centers for Disease Control and Prevention. Vital signs: food categories contributing the most to sodium consumption—United States, 2007–2008. MMWR Morb Mortal Wkly Rep. 2012;61(5):92–98.
3. Institute of Medicine. Strategies to Reduce Sodium Intake in the United States. Washington, DC: The National Academies Press; 2010.
5. US Department of Agriculture. Dietary Guidelines for Americans, 2010. Washington, DC: US Government Printing Office; 2010.
6. Levings J, Cogswell M, Curtis CJ, Gunn J, Neiman A, Angell SY. Progress toward sodium reduction in the United States. Rev Panam Salud Publica. 2012;32(4):301–306.
7. Booth SL, Sallis JF, Ritenbaugh C, et al. Environmental and societal factors affect food choice and physical activity: rationale, influences, and leverage points. Nutr Rev. 2001;59(3, pt 2):S21–S39; discussion S57-S65.
8. Ashe M, Graff S, Spector C. Changing places: policies to make a healthy choice the easy choice. Public Health. 2011;125(12):889–895.
9. Bunnell R, O'Neil D, Soler R, et al. Communities Putting Prevention to Work Program Group. Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems, and environmental change. J Community Health. 2012;37(5):1081–1090. doi:10.1007/s10900-012-9542-3.
11. Kimmons J, Jones S, McPeak HH, Bowden B. Developing and implementing health and sustainability guidelines for institutional food service. Adv Nutr. 2012;3:337–342.
12. Robles B, Wood M, Kimmons J, Kuo T. Comparison of nutrition standards and other recommended procurement practices for improving institutional food offerings in Los Angeles County, 2010–2012. Adv Nutr. 2013;4:1–13.
13. Mattes RD, Donnelly D. Relative contributions of dietary sodium sources. J Am Coll Nutr. 1991;10(4):383–393.
14. Johnston Y, Denniston R, Morgan M, Bordeau M. Rock on Cafe: achieving sustainable systems changes in school lunch programs. Health Promot Pract. 2009;10(2):100S–108S.
15. Briefell RR, Crepinsek MK, Cabili C, et al. School food environments and practices affect dietary behaviors of US public school children. J Am Diet Assoc. 2009;109(suppl 2):S91–S107.
16. Finkelstein DM, Hill EL, Whitaker RC. School food environments and policies in U.S. public schools. Pediatrics. 2010;122(1):e251–e259.
17. Mugavero K, Losby JL, Gunn JP, Levings JL, Lane RI. Reducing sodium intake at the community level: the Sodium Reduction in Communities Program. Prev Chronic Dis. 2012;9:120081. doi:http://dx.doi.org/10.5888/pcd9.120081
18. Cummings PL, Kuo T, Gase LN, Mugavero K. Integrating sodium reduction strategies in the procurement process and contracting of food venues in the County of Los Angeles government, 2010-2012. J Public Health Manag Pract. 2014;20(suppl 1):S16–S22.
20. Drake MA. Menu evaluation, nutrient intake of young children, and nutrition knowledge of menu planners in child care centers in Missouri. J Nutr Educ. 1992;24:145–148.
healthy food procurement; school health; school meal program; sodium limits
© 2014 Lippincott Williams & Wilkins, Inc.
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