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Effects of an after-school care-administered physical activity and nutrition protocol on body mass index, fitness levels, and targeted psychological factors in 5- to 8-year-olds

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Translational Behavioral Medicine

Abstract

Over one third of U.S. youth are overweight or obese. Treatments typically have had unreliable effects, inconsistently incorporating behavior-change theory. After-school care might be a viable setting for health behavior-change programs. We evaluated effects of two consecutive 12-week segments of a revised self-efficacy/social cognitive theory-based physical activity and nutrition treatment on fitness levels, body mass index (BMI), and targeted psychosocial factors in after-school care participants, ages 5–8 years. Changes in physiological measures, exercise self-efficacy (ESE), and physical self-concept over 9 months were contrasted in experimental (n = 72) vs. typical-care (n = 42) groups. Mediation of the group–BMI change relationship by the psychosocial factors was also assessed. Improvements in physiological measures and ESE were significantly greater in the experimental group. ESE change completely mediated the association of treatment type with BMI change. The experimental group demonstrated significantly greater improvements in the physiological measures, with its treatment’s theoretical basis and application within after-school care supported.

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References

  1. US Department of Health and Human Services. 2000 CDC Growth Charts: United States. Available at http://www.cdc.gov/growthcharts/clinical_charts.htm. Accessibility verified Sep 3, 2015

  2. Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Prev Med. 1993; 22: 167-177.

    Article  CAS  PubMed  Google Scholar 

  3. Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. Am J Clin Nutr. 1999; 70(suppl): 145S-148S.

    CAS  Google Scholar 

  4. Magarey AM, Daniels LA, Boulton TJ, Cockington RA. Predicting obesity in early adulthood from childhood and parental obesity. Int J Obes Relat Metab Disord. 2003; 57: 505-513.

    Article  Google Scholar 

  5. Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007–2008. JAMA. 2010; 303: 242-249.

    Article  CAS  PubMed  Google Scholar 

  6. Brownell KD, Horgen KB. Food fight. New York: McGraw-Hill; 2004.

    Google Scholar 

  7. Salmon J, Timperio A. Prevalence, trends and environmental influences on child and youth physical activity. Med Sports Sci. 2007; 50: 183-199.

    Article  Google Scholar 

  8. National Association for Sport and Physical Education. Shape of the Nation Report: Status of Physical Education in the USA. Reston, VA: American Alliance for Health, Physical Education, Recreation, and Dance; 2006.

  9. McKenzie TL, Feldman H, Woods SE, et al. Children’s activity levels and lesson contexts during third-grade physical education. Res Q Exerc Sport. 1995; 66: 184-193.

    Article  CAS  PubMed  Google Scholar 

  10. Tudor-Locke C, Lee SM, Morgan CF, Beighle A, Pangrazi RP. Children’s pedometer-determined physical activity during the segmented school day. Med Sci Sports Exerc. 2006; 38: 1732-1738.

    Article  PubMed  Google Scholar 

  11. Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008; 40: 181-188.

    Article  PubMed  Google Scholar 

  12. Stice E, Shaw H, Marti CN. A meta-analytic review of obesity prevention programs for children and adolescents. Psychol Bull. 2006; 132: 667-691.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Morris SB, DeShon RP. Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychol Methods. 2002; 7: 105-125.

    Article  PubMed  Google Scholar 

  14. Afterschool Alliance. America after 3 pm: afterschool programs in Demand. Washington, DC: Afterschool Alliance; 2014

  15. Story M, Kaphingst KM, French S. The role of child care settings in obesity prevention. Futur Child. 2006; 16(1): 143-168.

    Article  Google Scholar 

  16. Trudeau F, Shephard RJ. Physical education, school physical activity, school sports and academic performance. Int J Behav Nutr Phys Act. 2008; 5: 10.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Trost SG, Rosenkranz RR, Dzwaltowski D. Physical activity levels among children attending afterschool programs. Med Sci Sports Exerc. 2008; 40: 622-629.

    Article  PubMed  Google Scholar 

  18. Weaver RG, Beets MW, Huberty J, Freedman D, Turner-Mcgrievy G, Ward D. Physical activity opportunities in afterschool programs. Health Promot Pract. 2015; 16: 371-382.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Beets MW, Huberty JL, Beighle A. Physical activity of children attending afterschool programs: research- and practice-based implications. Am J Prev Med. 2012; 42: 180-184.

    Article  PubMed  Google Scholar 

  20. Baranowski T, Anderson C, Carmack C. Mediating variable framework in physical activity. Am J Prev Med. 1998; 15: 266-297.

    Article  CAS  PubMed  Google Scholar 

  21. Barbeau P, Johnson MH, Howe CA, et al. Ten months of exercise improves general and visceral adiposity, bone, and fitness in black girls. Obesity. 2007; 15: 2077-2085.

    Article  CAS  PubMed  Google Scholar 

  22. Vizcaino VM, Aguilar FS, Gutierrez RF, et al. Assessment of an after-school physical activity program to prevent obesity among 9- to 10-year-old children: a cluster randomized trial. Int J Obes. 2008; 32: 12-22.

    Article  Google Scholar 

  23. Kelder S, Hoelscher DM, Barrosa CS, Walker JL, Cribb P, Hu S. The CATCH Kids Club: a pilot after-school study for improving students’ nutrition and physical activity. Public Health Nutr. 2005; 8(2): 133-140.

    Article  PubMed  Google Scholar 

  24. Bandura A. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice Hall; 1986.

    Google Scholar 

  25. Bandura A. Self-efficacy: the exercise of control. New York: Freeman; 1997.

    Google Scholar 

  26. National Cancer Institute. Research-tested Intervention Programs (RTIPs): Youth Fit For Life. Available at http://rtips.cancer.gov/rtips/programDetails.do?programId=293932. Accessibility verified September 3, 2015.

  27. Annesi JJ, Marti CN, Stice E. A meta-analytic review of the Youth Fit For Life intervention for effects on body mass index in 5- to 12-year-old children. Health Psychol Rev. 2010; 4: 6-21.

    Article  Google Scholar 

  28. Annesi JJ, Vaughn LL. Evidence-based referral: effects of the revised “Youth Fit 4 Life” protocol on physical activity outputs. Perma J. 2015; 19(3): 48-53.

    Google Scholar 

  29. Annesi JJ, Tennant G, Westcott WL, Faigenbaum AD, Smith AE. Effects of the Youth Fit For Life protocol on physiological, psychological, and behavioral factors at YMCA Calgary after-school care sites. Psychol Rep. 2009; 104: 879-895.

    Article  PubMed  Google Scholar 

  30. Annesi JJ, Faigenbaum AD, Westcott WL, Smith AE, Dixon GM. Effects of the Youth Fit For Life protocol on physiological factors, mood, self-appraisal, voluntary physical activity, and fruit and vegetable consumption in children enrolled in YMCA after-school care. J Soc Behav Health Sci. 2007; 1: 164-197.

    Google Scholar 

  31. Annesi JJ. Improvements in self-concept associated with reductions in negative mood in preadolescents enrolled in an after-school physical activity program. Psychol Rep. 2005; 97: 400-404.

    PubMed  Google Scholar 

  32. Annesi JJ. Relations of age with changes in self-efficacy and physical self-concept in preadolescents participating in an afterschool care physical activity intervention. Percept Mot Skills. 2007; 105: 221-226.

    PubMed  Google Scholar 

  33. Annesi JJ. Relations of physical self-concept and self-efficacy with frequency of voluntary physical activity in preadolescents: implications for after-school care programming. J Psychosom Res. 2006; 61: 515-520.

    Article  PubMed  Google Scholar 

  34. Annesi JJ, Faigenbaum AD, Westcott WL, Smith AE, Unruh JL, Hamilton FG. Effects of the Youth Fit For Life protocol on physiological, mood, self-appraisal, and voluntary physical activity changes in African American preadolescents: contrasting after-school care and physical education formats. Int J Clin Health Psychol. 2007; 7: 641-659.

    Google Scholar 

  35. Annesi JJ. Relationship between self-efficacy and changes in rated tension and depression for 9- to 12-year-old children enrolled in a 12-wk. after-school physical activity program. Percept Mot Skills. 2004; 99: 191-194.

    Article  PubMed  Google Scholar 

  36. Annesi JJ. Correlations of depression and total mood disturbance with physical activity and self-concept in preadolescents enrolled in an after-school exercise program. Psychol Rep. 2005; 96: 891-898.

    Article  PubMed  Google Scholar 

  37. Annesi JJ, Westcott WL, Faigenbaum A, Unruh JL. Effects of a 12-week physical activity protocol delivered by YMCA after-school counselors (Youth Fit For Life) on fitness and self-efficacy changes in 5-12-year-old boys and girls. Res Q Exerc Sport. 2005; 76: 468-476.

    Article  PubMed  Google Scholar 

  38. De Vellis R. Scale development: theory and applications. Thousand Oaks, CA: Sage; 2003.

    Google Scholar 

  39. McManis BG, Wuest DA. Stability reliability of the modified push-up in children [abstract]. Res Q Exerc Sport. 1994; 65(suppl): A58-A59.

    Google Scholar 

  40. Rutherford WJ, Corbin CB. Measuring upper body strength and endurance: which test is best? Ky AHPERD J. 1993; 29(2): 20-24.

    Google Scholar 

  41. Jackson AS, Coleman E. Validation of distance run tests for elementary school children. Res Q Exerc Sport. 1976; 47: 86-94.

    CAS  Google Scholar 

  42. Fitts WH, Warren WL. Tennessee Self-Concept Scale. 2nd ed. Los Angeles, CA: Western Psychological Services; 2003.

    Google Scholar 

  43. Cole TJ, Faith MS, Pietrobelli A, Heo M. What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score, or BMI centile? Eur J Clin Nutr. 2005; 59: 419-425.

    Article  CAS  PubMed  Google Scholar 

  44. Morgan WP. Methodological considerations. In: Morgan WP, ed. Physical activity and mental health. Washington, DC: Taylor & Francis; 1997: 3-32.

    Google Scholar 

  45. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002; 7: 147-177.

    Article  PubMed  Google Scholar 

  46. Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Mahwah, NJ: Lawrence Erlbaum; 2003.

    Google Scholar 

  47. Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005; 162: 267-278.

    Article  PubMed  Google Scholar 

  48. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008; 40: 879-891.

    Article  PubMed  Google Scholar 

  49. Palmeira AL, Markland DA, Silva MN, et al. Reciprocal effects among changes in weight, body image, and other psychological factors during behavioral obesity treatment: a mediation analysis. Int J Behav Nutr Phys Act. 2009; 6: 9.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Annesi JJ, Porter KJ. Reciprocal effects of changes in mood and self-regulation for controlled eating associated with differing nutritional treatments in severely obese women. Clin Health Promot. 2013; 3: 35-41.

    Google Scholar 

  51. Prentice DA, Miller DT. When small effects are impressive. Psychol Bull. 1992; 112: 160-164.

    Article  Google Scholar 

  52. Gutin B, Barbeau P, Owens S, et al. Effects of exercise intensity on cardiovascular fitness, total body composition, and visceral adiposity of obese adolescents. Am J Clin Nutr. 2002; 75: 160-164.

    Google Scholar 

  53. Baranowski T, Lin LS, Wetter DW, Resnicow K, Hearn MD. Theory as mediating variables: why aren’t community interventions working as desired? Ann Epidemiol. 1997; 7(suppl): S89-S95.

    Article  Google Scholar 

  54. McAuley E, Peña MM, Jerome GJ. Self-efficacy as a determinant and an outcome of exercise. In: Roberts G, ed. Advances in motivation in sport and exercise. Champaign, IL: Human Kinetics; 2001: 235-261.

    Google Scholar 

  55. Nunally JC, Bernstein IH. Psychometric theory. 2nd ed. New York: McGraw-Hill; 1994.

    Google Scholar 

  56. Glasgow RE, Emmons KM. How can we increase translation of research into practice? Types of evidence needed. Ann Rev Public Health. 2007; 28: 413-433.

    Article  Google Scholar 

  57. U.S. Department of Health and Human Services. Strategies to Improve the Quality of Physical Education. Available at http://www.cdc.gov/healthyyouth/physicalactivity/pdf/quality_pe.pdf. Accessibility verified Sep 10, 2015.

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Acknowledgments

The authors acknowledge the participation of the after-school care sites that made this study possible. This research received no specific funding.

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Corresponding author

Correspondence to James J. Annesi PhD, FAAHB, FTOS, FAPA.

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Ethical standards

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000.

Informed consent

Informed consent was obtained from all participants and their parents/legal guardians included in the study.

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Implications

Practice: For young elementary school students, after-school care can, and should, provide moderate-to-vigorous physical activity and health information in a manner that increases feelings of accomplishment and mastery (self-efficacy) and serves to improve health and physical activity behaviors both in, and out of, school.

Research: Future research is warranted to further investigate psychosocial correlates of adequate physical activity and healthy nutrition and how self-regulatory skills might be incorporated to overcome naturally occurring barriers—especially in overweight/obese children whose environments might be especially challenging.

Policy: Resources and evidence-based methods should be directed at school-administered programs so that state-of-the-art behavioral science is best deployed to foster recommended amounts of physical activity, healthful nutritional choices, and other health promotion behaviors, especially when the naturally occurring setting makes them difficult to attain.

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Annesi, J.J., Smith, A.E., Walsh, S.M. et al. Effects of an after-school care-administered physical activity and nutrition protocol on body mass index, fitness levels, and targeted psychological factors in 5- to 8-year-olds. Behav. Med. Pract. Policy Res. 6, 347–357 (2016). https://doi.org/10.1007/s13142-015-0372-6

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