Trends in health behavior and weight outcomes following enhanced afterschool programming participation

Jessica Rieder, Jee-Young Moon, Joanna Joels, Viswanathan Shankar, Paul Meissner, Elicia Johnson-Knox, Bailey Frohlich, Shelby Davies, Judy Wylie-Rosett, Jessica Rieder, Jee-Young Moon, Joanna Joels, Viswanathan Shankar, Paul Meissner, Elicia Johnson-Knox, Bailey Frohlich, Shelby Davies, Judy Wylie-Rosett

Abstract

Background: The United States needs to increase access to effective obesity prevention and treatment programming for impoverished youth at risk for health disparities. Although recommended, schools have difficulty consistently implement evidence-based obesity programing. We report on the effectiveness of adding structured nutrition education and minimum physical activity (PA) requirements to standard middle school after-school programming.

Methods: Using a longitudinal pre-post study design, we evaluated program effectiveness at one year on target behaviors on students recruited during three consecutive school years (2016-2018). We used generalized linear (or logistic) mixed-effects modeling to determine: 1) impact on healthy weight and target healthy behavior attainment, and 2) whether target behavior improvement and weight change were associated with after-school program attendance. The seven target behaviors relate to eating healthy, physical activity, and sleep.

Results: Over the three years, a total of 76 students enrolled and completed one year of programming (62% Hispanic, 46% girls, 72% with BMI > 85th %ile, 49% with BMI > 95th %ile). Of students with BMI > 85th %ile, 44% maintained or decreased BMI Z-score. There were improvements (non-significant) in BMI Z-score and the adoption of four healthy eating behaviors: fruit, vegetables, sugar-free beverages, and unhealthy snack food. Students with higher after-school attendance (> 75%) had greater improvements (non-significant) in composite behavior scores, BMI Z-score, and in most target behaviors (5/7) than students with lower after-school attendance (< 75%). Sleep improvements were significantly associated with BMI Z-score decrease (Beta = - 0.05, 95% CI (- 0.1,-0.003), p = 0.038.) CONCLUSIONS: Enhancement of existing after-school programming with structured nutrition education and minimum physical activity requirements demonstrates positive improvements in several health behaviors and weight outcomes. Adopting enhanced after-school programming increases access to health activities and may bring us closer to solving obesity in at-risk youth in impoverished communities.

Trial registration: ClinicalTrials.gov identifier (NCT number): NCT03565744 . Registered 21 June 2018 - Retrospectively registered.

Keywords: Adolescent obesity; Afterschool programming; Healthy eating; Physical activity; School health; Sleep; Target behaviors; Wellness Cascade.

Conflict of interest statement

Viswanathan Shankar is a Senior Board Member for BMC Public Health. The authors declare that they have no competing interests. All authors of declare that there is no conflict of interest regarding the publication of this article and this article has not been published elsewhere.

Figures

Fig. 1
Fig. 1
Proportions of Students Attaining Step Milestones Each School Year. Step 1– includes those students assessed; Step 2 includes those students enrolled in B’N Fit POWER; Step 3– includes those students that engaged in the program by attending at least one clinic and one after-school session; Step 4-includes those students that completed the program by attending all three clinics; and Step 5 –includes students who demonstrated either maintenance or an improvement in BMI Z-score. Number of students BMI > 85th%ile are represented within parentheses. *B’N Fit POWER enrollment restricted to 40 students each for 2016 and 2017 and 20 for 2018 based on staffing limitations. The numbers within the parenthesis reflect sub-group students whose BMI ≥85th percentile
Fig. 2
Fig. 2
Composite Target Behavior Score Changes After a Year (N = 76)
Fig. 3
Fig. 3
Proportions of Students Attaining Individual Target Behaviors After One Year (N = 76). Sugar-Free Bev. –Sugar-free beverage consumption; Sugary Bev. –Sugary beverage consumption; SFSB –Sugar-free beverage and sugary beverage consumption; USFF – Unhealthy snack food and fast food consumption. *p = 0.05 by McNeMar’s test. Note: Target behaviors attainment standards according to American Academy of Pediatrics Expert Committee, NHLBI sleep recommendations, Physical Activity Guidelines for Americans 2nd Edition, and USDA MyPlate guidelines

References

    1. Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK, Flegal KM. Trends in obesity prevalence among children and adolescents in the United States, 1988-1994 through 2013-2014. JAMA. 2016;315(21):2292–2299. doi: 10.1001/jama.2016.6361.
    1. Skinner AC, Ravanbakht SN, Skelton JA, Perrin EM, Armstrong SC. Erratum: prevalence of obesity and severe obesity in US children, 1999-2016. Pediatrics. 2018;141(3):e20173459. doi: 10.1542/peds.2017-3459.
    1. Skinner AC, Skelton JA. Prevalence and trends in obesity and severe obesity among children in the United States, 1999-2012. JAMA Pediatr. 2014;168(6):561–566. doi: 10.1001/jamapediatrics.2014.21.
    1. Seo DC, King MH, Kim N, Sovinski D, Meade R, Lederer AM. Predictors for persistent overweight, deteriorated weight status, and improved weight status during 18 months in a school-based longitudinal cohort. Am J Health Promot. 2015;30(1):22–27. doi: 10.4278/ajhp.131118-QUAN-585.
    1. Watson KB, Harris CD, Carlson SA, Dorn JM, Fulton JE. Disparities in adolescents' residence in neighborhoods supportive of physical activity — United States, 2011–2012. MMWR Morb Mortal Wkly Rep. 2016;65(23):598–601. doi: 10.15585/mmwr.mm6523a2.
    1. Atkiss K, Moyer M, Desai M, Roland M. Positive youth development. Am J Heal Educ. 2011;42(3):171–180. doi: 10.1080/19325037.2011.10599184.
    1. Ward ZJ, Long MW, Resch SC, Giles CM, Cradock AL, Gortmaker SL. Simulation of growth trajectories of childhood obesity into adulthood. N Engl J Med. 2017;377(22):2145–2153. doi: 10.1056/NEJMoa1703860.
    1. Grossman DC, Bibbins-Domingo K, Curry SJ, Barry MJ, Davidson KW, Doubeni CA, et al. Screening for obesity in children and adolescents us preventive services task force recommendation statement. JAMA. 2017;317(23):2417–2426. doi: 10.1001/jama.2017.6803.
    1. Seo DC, Sa J. A meta-analysis of obesity interventions among US minority children. J Adolesc Health. 2010;46(4):309–323. doi: 10.1016/j.jadohealth.2009.11.202.
    1. Wilson DK. New perspectives on health disparities and obesity interventions in youth. J Pediatr Psychol. 2009;34(3):231–244. doi: 10.1093/jpepsy/jsn137.
    1. Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–S192. doi: 10.1542/peds.2007-2329C.
    1. Whitlock EP, Williams SB, Gold R, Smith PR, Shipman SA. Screening and interventions for childhood overweight: a summary of evidence for the US preventive services task force. Pediatrics. 2005;116(1):e125–e144. doi: 10.1542/peds.2005-0242.
    1. Dao HH, Frelut ML, Oberlin F, Peres G, Bourgeois P, Navarro J. Effects of a multidisciplinary weight loss intervention on body composition in obese adolescents. Int J Obes. 2004;28(2):290–299. doi: 10.1038/sj.ijo.0802542.
    1. Savoye M, Nowicka P, Shaw M, Yu S, Dziura J, Chavent G, O'Malley G, Serrecchia JB, Tamborlane WV, Caprio S. Long-term results of an obesity program in an ethnically diverse pediatric population. Pediatrics. 2011;127(3):402–410. doi: 10.1542/peds.2010-0697.
    1. The Diabetes Control and Complications Trial Research Group Lifetime benefits and costs of intensive therapy as practiced in the diabetes control and complications trial. JAMA. 1996;276(17):1409–1415. doi: 10.1001/jama.1996.03540170053032.
    1. Belansky ES, Cutforth N, Delong E, Ross C, Scarbro S, Gilbert L, Beatty B, Marshall JA. Early impact of the federally mandated local wellness policy on physical activity in rural, low-income elementary schools in Colorado. J Public Health Policy. 2009;30(Suppl 1):S141–S160. doi: 10.1057/jphp.2008.50.
    1. Foster GD, Sherman S, Borradaile KE, Grundy KM, Vander Veur SS, Nachmani J, Karpyn A, Kumanyika S, Shults J. A policy-based school intervention to prevent overweight and obesity. Pediatrics. 2008;121(4):e794–e802. doi: 10.1542/peds.2007-1365.
    1. Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit S, Fox MK, Laird N. Reducing obesity via a school-based interdisciplinary intervention among youth: planet health. Arch Pediatr Adolesc Med. 1999;153(4):409–418. doi: 10.1001/archpedi.153.4.409.
    1. Katz DL, O'Connell M, Yeh M-C, Nawaz H, Njike V, Anderson LM, et al. Public health strategies for preventing and controlling overweight and obesity in school and worksite settings: A report on recommendations of the Task Force on Community Preventive Services. MMWR Recomm Rep. 2005;54(RR-10):1–12.
    1. Kenney EL, Wintner S, Lee RM, Austin SB. Obesity prevention interventions in US public schools: are schools using programs that promote weight stigma? Prev Chronic Dis. 2017;14:160605. doi: 10.5888/pcd14.160605.
    1. Jago R, Edwards MJ, Sebire SJ, Bird EL, Tomkinson K, Kesten JM, et al. Bristol girls dance project: a cluster randomised controlled trial of an after-school dance programme to increase physical activity among 11- to 12-year-old girls. NIHR Journals Library: Southampton (UK); 2016.
    1. Robbins LB, Ling J, Wen F. Attending after-school physical activity Club 2 days a week attenuated an increase in percentage body fat and a decrease in fitness among adolescent girls at risk for obesity. Am J Health Promot. 2020;34(5):500–504. doi: 10.1177/0890117120915679.
    1. Wieland ML, Biggs BK, Brockman TA, Johnson A, Meiers SJ, Sim LA, Tolleson E, Hanza MM, Weis JA, Rosenman JR, Novotny PJ, Patten CA, Clark MM, Millerbernd J, Sia IG. Club fit: development of a physical activity and healthy eating intervention at a boys & girls Club after school program. J Prim Prev. 2020;41(2):153–170. doi: 10.1007/s10935-020-00582-4.
    1. Pfeiffer KA, Robbins LB, Ling J, Sharma DB, Dalimonte-Merckling DM, Voskuil VR, Kaciroti N, Resnicow K. Effects of the girls on the move randomized trial on adiposity and aerobic performance (secondary outcomes) in low-income adolescent girls. Pediatr Obes. 2019;14(11):e12559. doi: 10.1111/ijpo.12559.
    1. Cavanagh BD, Meinen A. Utilizing Wisconsin afterschool programs to increase physical activity in youth. J Sch Health. 2015;85(10):697–703. doi: 10.1111/josh.12299.
    1. Wiecha JL, Williams PA, Giombi KC, Richer A, Hall G. Survey of Afterschool Programs Suggests Most Offer Fruit and Vegetables Daily. Prev Chronic Dis. 2018;15:E68. doi: 10.5888/pcd15.170396.
    1. Rieder J, Cain A, Carson E, Benya A, Meissner P, Isasi CR, Wylie-Rosett J, Hoffman N, Kelly C, Silver EJ, Bauman LJ. Pilot project to integrate community and clinical level systems to address health disparities in the prevention and treatment of obesity among ethnic minority inner-city middle school students: lessons learned. J Obes. 2018;2018:1–15. doi: 10.1155/2018/6983936.
    1. United States Census Bureau QuickFacts Bronx County. Bronx, New York. 2017. . Accessed 13 Aug 2020.
    1. Smith S, Granja MR, Uyen SN. New York state profile of young children in deep poverty. New York: National Center for Children in Poverty, Mailman School of Public Health, Columbia University; 2017.
    1. State Labor Department Releases Preliminary June 2020 Area unemployment rates. NY Department of Labor 2020. . Accessed 13 Aug 2020.
    1. New York State community health indicator reports. Bronx County: Health status and social determinants of health. 2019. . Accessed 14 Aug 2020.
    1. Community health needs assessment and implementation strategy report 2019-2021. Montefiore Medical Center 2019. . Accessed 14 Aug 2020.
    1. Egger JR, Bartley K, Benson L, Bellino D, Kerker BD. Childhood obesity is a serious concern in New York City: higher levels of fitness associated with better academic performance. NYC Vital Signs. NYC DOHMH. 2009.
    1. Robert Wood Johnson Foundation health outcomes: overall rank. Bronx, NY. 2017. . Accessed 13 Aug 2020.
    1. Citizens' Committee for Children of NY Database. Obesity among public elementary and middle school students. 2011. . Accessed 13 Aug 2020.
    1. Rieder J, Moon J-Y, Shankar V, Meissner P, Wylie-Rosett J. Trends in health behavior, weight, and academic outcomes following enhanced afterschool programming. In special issue: abstracts from the 38th annual meeting of the Obesity Society at Obesityweek® interactive November 2-6, 2020. Obesity. 2020;28(S2):5–39. doi: 10.1002/oby.23057.
    1. Physical activity guidelines for Americans: 2nd edition. US Department of Health and Human Services. 2018. . Accessed 13 Aug 2020.
    1. Sleep deprivation and deficiency: How much sleep is enough? NIH. National Heart, Lung, and Blood Institute. . Accessed 13 Aug 2020.
    1. Choose MyPlate. USDA Food and Nutrition Service. . Accessed 14 Aug 2020.
    1. Rieder J, Meissner P, Shankar V, Moon J-Y, Wylie-Rosett J. A cascade model for school wellness programming: a feasibility case study. Heal Behav Policy Rev. 2020;7(1):38–50. doi: 10.14485/HBPR.7.1.5.
    1. Physical education: NYC fitnessgram. NYC Department of Education. 2020. . Accessed 14 Aug 2020.
    1. Kelly AS, Barlow SE, Rao G, Inge TH, Hayman LL, Steinberger J, Urbina EM, Ewing LJ, Daniels SR, American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young, Council on Nutrition, Physical Activity and Metabolism, and Council on Clinical Cardiology Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches: a scientific statement from the American Heart Association. Circulation. 2013;128(15):1689–1712. doi: 10.1161/CIR.0b013e3182a5cfb3.
    1. Raghunathan T, Solenberger P, Berglund P, Van Hoewyk J. IVEware: imputation and variance estimation software (version 0.3): complete user guide. Ann Arbor: Survey Research Center, University of Michigan; 2016.
    1. R Core Team. R . A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2019.
    1. Matricciani L, Olds T, Petkov J. In search of lost sleep: secular trends in the sleep time of school-aged children and adolescents. Sleep Med Rev. 2012;16(3):203–211. doi: 10.1016/j.smrv.2011.03.005.
    1. Bleich SN, Vercammen KA, Koma JW, Li Z. Trends in beverage consumption among children and adults, 2003-2014. Obesity. 2018;26(2):432–441. doi: 10.1002/oby.22056.
    1. Jahns L, Siega-Riz AM, Popkin BM. The increasing prevalence of snacking among US children from 1977 to 1996. J Pediatr. 2001;138(4):493–498. doi: 10.1067/mpd.2001.112162.
    1. Piernas C, Popkin BM. Trends in snacking among US children. Health Aff. 2010;29(3):398–404. doi: 10.1377/hlthaff.2009.0666.
    1. Rehm CD, Drewnowski A. A new method to monitor the contribution of fast food restaurants to the diets of US children. PLoS One. 2014;9(7):e103543. doi: 10.1371/journal.pone.0103543.
    1. Maillot M, Vieux F, Rehm CD, Rose CM, Drewnowski A. Consumption patterns of milk and 100% juice in relation to diet quality and body weight among United States children: analyses of NHANES 2011-16 data. Front Nutr. 2019;6:117. doi: 10.3389/fnut.2019.00117.
    1. One year later: A look at New York City public schools' free lunch program. Hunter College NYC Food Policy Center. 2018. . Accessed 13 Aug 2020.
    1. Martin S, Heo M, Jimenez CC, Lim J, Lounsbury DW, Fredericks L, Bouchard M, Herrera T, Sosa A, Wylie-Rosett J. Personalizing the dietary guidelines: use of a feedback report to help adolescent students plan health behaviors using a SMART goal approach. Child Adolesc Obes. 2019;2(1):47–62. doi: 10.1080/2574254X.2019.1651169.
    1. McHugh C, Hurst A, Bethel A, Lloyd J, Logan S, Wyatt K. The impact of the World Health Organization health promoting schools framework approach on diet and physical activity behaviours of adolescents in secondary schools: a systematic review. Public Health. 2020;182:116–124. doi: 10.1016/j.puhe.2020.02.006.

Source: PubMed

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