Abstract
Background
Decreasing selection and consumption of sodium and added sugars in the school cafeteria setting is important to provide optimal nutrition to children.
Objective
The ofjective of this study is to determine whether Louisiana (LA) Health, a school-based obesity prevention intervention, could successfully reduce children’s selection and consumption of sodium and added sugars during school lunches vs. the control group.
Design
Food selection, consumption, and plate waste from student lunches (3 consecutive days) in 33 public schools in rural Louisiana were collected and analyzed using the digital photography of foods method at baseline and after a 28-month obesity prevention intervention (LA Health) beginning in 4th–6th grade (87% of children received free or reduced cost lunch). Selection and consumption of energy, added sugar, and sodium was objectively measured using digital photography of foods. Mixed models, including Race and BMI, were used to determine whether change in selection and consumption differed by group.
Results
Sodium decreased for selection (− 233.1 ± 89.4 mg/lunch, p = 0.04) and consumption (− 206.3 ± 65.9, mg/lunch) in the intervention (vs. control) by month 18, and in consumption by month 28 (− 153.5 ± 66.9 mg/lunch, p = 0.03). Change in added sugar consumption decreased in the intervention (vs. control) at month 18 (− 3.7 ± 1.6, p = 0.05) and at month 28 (− 3.5 ± 1.6 tsp/lunch, p = 0.05).
Conclusions
LA Health decreased the amount of added sugar and sodium selected and consumed, but not plate waste, by month 28. Results highlight the importance of long-term interventions and policies targeting provision and selection to improve dietary patterns in children, with less focus on plate waste.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Food and Nutrition Service, United States Department of Agriculture. Nutrition standards in the National School Lunch and School Breakfast Programs; proposed rule. Fed Regist. 2012;77:4088–167.
McGuire S. US Department of Agriculture and US Department of Health and Human Services, Dietary Guidelines for Americans, 2010. Washington, DC: US Government Printing Office, January 2011. Adv Nutr. 2011;2:293–4.
Center 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;61:92–8.
Grimes CA, Wright JD, Liu K, Nowson CA, Loria CM. Dietary sodium intake is associated with total fluid and sugar-sweetened beverage consumption in US children and adolescents aged 2–18 y: NHANES 2005–2008. Am J Clin Nutr. 2013;98:189–96.
Grimes CA, Bolhuis DP, He FJ, Nowson CA. Dietary sodium intake and overweight and obesity in children and adults: a protocol for a systematic review and meta-analysis. Syst Rev. 2016;5:1.
Byker CJ, Pinard CA, Yaroch AL, Serrano EL. New NSLP guidelines: challenges and opportunities for nutrition education practitioners and researchers. J Nutr Educ Behav. 2013;45:683–9.
Henry JE, Taylor CL. Strategies to reduce sodium intake in the United States. National Academies Press; 2010.
Vos MB, Kaar JL, Welsh JA, Van Horn LV, Feig DL, Anderson CAM, et al. Added sugars and cardiovascular disease risk in children. Circulation 2017;135:e1017–34.
Health UDo, Services H. 2015–2020 Dietary Guidelines for Americans. Washington, DC: US Government Printing Office. 2015.
Wilson C. Obesity: sugar-sweetened beverages--fueling the epidemic of childhood obesity? Nat Rev Endocrinol. 2012;8:696.
Wang J. Consumption of added sugars and development of metabolic syndrome components among a sample of youth at risk of obesity. Appl Physiol, Nutr, Metab. 2014;39:512–512.
Johnson RK. Reducing intakes of sugar sweetened beverages is vital to improving our nation’s health. Circulation 2016;133:347–9.
Ford MC, Gordon NP, Howell A, et al. Obesity severity, dietary behaviors, and lifestyle risks vary by race/ethnicity and age in a Northern California cohort of children with obesity. J Obes. 2016;2016::4287976.
Williamson DA, Han H, Johnson WD, Martin CK, Newton RL Jr. Modification of the school cafeteria environment can impact childhood nutrition. Results from the Wise Mind and LA Health studies. Appetite. 2013;61:77–84.
Peirson L, Fitzpatrick-Lewis D, Morrison K, et al. Prevention of overweight and obesity in children and youth: a systematic review and meta-analysis. CMAJ Open. 2015;3:E23–33.
Sharma M. Dietary education in school-based childhood obesity prevention programs. Adv Nutr. 2011;2:207S–216S.
Madsen KA. Effect of the healthy schools program on prevalence of overweight and obesity in California schools, 2006–2012. Prev Chronic Dis. 2015;12:E77.
Williamson DA, Champagne CM, Harsha DW, et al. Effect of an environmental school-based obesity prevention program on changes in body fat and body weight: a randomized trial. Obesity (Silver Spring). 2012;20:1653–61.
Williamson DA, Champagne CM, Harsha D, et al. Louisiana (LA) Health: design and methods for a childhood obesity prevention program in rural schools. Contemp Clin Trials. 2008;29:783–95.
Melancon KD, J. Popular diets for treatment of overweight and obesity. In: Wadden TS, AJ., editor. Handbook of obesity treatment. New York: Guilford; 2002. p. 249–82.
Child Nutrition and WIC Reauthorization Act of 2004. 2004.
Louisiana Laws. Foods and beverages other than school breakfast or lunch in public elementary and secondary schools; legislative findings; restrictions. Louisiana: Louisiana Laws; 2005.
Williamson DA, Allen HR, Martin PD, Alfonso AJ, Gerald B, Hunt A. Comparison of digital photography to weighed and visual estimation of portion sizes. J Am Diet Assoc. 2003;103:1139–45.
Williamson D, Allen H, Martin PD, Alfonso A, Gerald B, Hunt A. Digital photography: a new method for estimating food intake in cafeteria settings. Eat Weight Disord Stud Anorex, Bulim Obes. 2004;9:24–28.
Martin CK, Newton RL Jr., Anton SD, et al. Measurement of children’s food intake with digital photography and the effects of second servings upon food intake. Eat Behav. 2007;8:148–56.
Martin CK, Correa JB, Han H, et al. Validity of the remote food photography method (RFPM) for estimating energy and nutrient intake in near real‐time. Obesity. 2012;20:891–9.
Martin CK, Nicklas T, Gunturk B, Correa JB, Allen HR, Champagne C. Measuring food intake with digital photography. J Human Nutr Diet. 2014;27(Suppl 1):72–81.
Williamson DA, Copeland AL, Anton SD, et al. Wise Mind Project: a school-based environmental approach for preventing weight gain in children. Obesity. 2007;15:906–17.
Ding D, Lawson KD, Kolbe-Alexander TL, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388:1311–24.
Johnson RK, Appel LJ, Brands M, et al. Dietary sugars intake and cardiovascular health a scientific statement from the American Heart Association. Circulation. 2009;120:1011–20.
Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98:1084–102.
Muckelbauer R, Libuda L, Clausen K, Toschke AM, Reinehr T, Kersting M. Promotion and provision of drinking water in schools for overweight prevention: randomized, controlled cluster trial. Pediatrics. 2009;123:e661–e667.
Fiorito LM, Marini M, Francis LA, Smiciklas-Wright H, Birch LL. Beverage intake of girls at age 5 y predicts adiposity and weight status in childhood and adolescence. Am J Clin Nutr. 2009;90:935–42.
Forshee RA, Anderson PA, Storey ML. Sugar-sweetened beverages and body mass index in children and adolescents: a meta-analysis. Am J Clin Nutr. 2008;87:1662–71.
Martin CK, Thomson JL, LeBlanc MM, et al. Children in school cafeterias select foods containing more saturated fat and energy than the Institute of Medicine recommendations. J Nutr. 2010;140:1653–60.
Williamson DA, Han H, Johnson WD, Stewart TM, Harsha DW. Longitudinal study of body weight changes in children: who is gaining and who is losing weight. Obesity (Silver Spring). 2011;19:667–70.
Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietary behaviors of US public school children. J Am Diet Assoc. 2009;109:S91–S107.
Ribeiro R, Alves L. Comparison of two school-based programmes for health behaviour change: the Belo Horizonte Heart Study randomized trial. Public Health Nutr. 2013;26:1–10.
Frieden TR. Sodium reduction—saving lives by putting choice into consumers’ hands. JAMA. 2016;316:579–80.
U.S. Department of Health and Human Services. (2010). Healthy People 2020. Retrieved from www.healthypeople.gov.
Federal Register. Food labelling: revision of nutrition and supplent facts labels. Final rule. Federal Register. 2016;81:33741–999.
Te ML, Mallard S, Mann J. Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ. 2013;346:e7492.
Ventura AK, Worobey J. Early influences on the development of food preferences. Curr Biol. 2013;23:R401–R408.
Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998;101(Supplement 2):539–49.
Drewnowski A, Mennella JA, Johnson SL, Bellisle F. Sweetness and food preference. J Nutr. 2012;142:1142S–1148S.
Drewnowski A. Taste preferences and food intake. Annu Rev Nutr. 1997;17:237–53.
Poti JM, Slining MM, Popkin BM. Solid fat and added sugar intake among US children: The role of stores, schools, and fast food, 1994–2010. Am J Prev Med. 2013;45:551–9.
Piernas C, Ng SW, Popkin B. Trends in purchases and intake of foods and beverages containing caloric and low-calorie sweeteners over the last decade in the United States. Pediatr Obes. 2013;8:294–306.
Alaimo K, Beavers AW, Crawford C, Snyder EH, Litt JS. Amplifying health through community gardens: a framework for advancing multicomponent, behaviorally based neighborhood interventions. Curr Environ Health Rep. 2016;3:302–12.
Burgess-Champoux, Teri L. PhD, RD, LD and Sullivan, Mandy, “Community gardens involving young children as a potential obesityprevention strategy: A systematic review to inform future research and practice” (2013). Sr. Seraphim Gibbons Undergraduate Symposium. 50. http://sophia.stkate.edu/undergraduate_research_symposium/2013/Sciences/50
Williamson DA, Han H, Johnson WD, Martin CK, Newton RL. Modification of the school cafeteria environment can impact childhood nutrition. Results from the Wise Mind and LA Health studies. Appetite. 2013;61:77–84.
Acknowledgements
The LA Health project was supported by the National Institutes of Health grant R01 HD048483 and the US Department of Agriculture grant 58-6435-4-90. This work was also partially supported by the NORC center grant #1P30 DK072476 entitled “Nutritional Programming: Environmental and Molecular Interactions” sponsored by the NIDDK. KRH is supported by NIH grant T32 DK064584. JHB was funded in part 1 U54 GM104940 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Louisiana Clinical and Translational Science Center.
Author’s contributions
DAW conceptualized and designed the study, conducted the research, reviewed and revised the manuscript, and approved the final manuscript as written. KRH analyzed the data, wrote the paper, and had primary responsibility for final content. JHB carried out all analysis, reviewed and revised the manuscript, and approved the final manuscript as written. CKM conducted the research, reviewed and revised the manuscript, had primary responsibility for final content, and approved the final manuscript as written. JWA and JLT reviewed and revised the manuscript, and approved the final manuscript as written.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Hawkins, K.R., Burton, J.H., Apolzan, J.W. et al. Efficacy of a school-based obesity prevention intervention at reducing added sugar and sodium in children’s school lunches: the LA Health randomized controlled trial. Int J Obes 42, 1845–1852 (2018). https://doi.org/10.1038/s41366-018-0214-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41366-018-0214-y
This article is cited by
-
Obesity Management Solutions in Rural Communities
Current Cardiovascular Risk Reports (2024)
-
Review of the validity and feasibility of image-assisted methods for dietary assessment
International Journal of Obesity (2020)