Physical Activity Interventions to Reduce Metabolic Risk Factors to Cognitive Health

in Kinesiology Review

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Darla CastelliUniversity of Texas at Austin, Austin, TX, USA

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Christine JulienUniversity of Texas at Austin, Austin, TX, USA

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Physical activity is a health-protective factor that can reduce disease risk in later life. Designing interventions that increase physical activity participation are paramount but need to increase potency and reduce the time to effectiveness. This paper aims to outline one transdisciplinary, team science effort to increase behavioral intervention potency through the integration of the autonomous cognition model whereby data guide each decision in developing a school-based physical activity intervention. Examples of data collected by stage and a summary of potential action steps are provided.

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  • Alonso, et al. (2022, March 1). American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart disease #1 cause of death rank likely to be impacted by COVID-19 for years to come. https://newsroom.heart.org/news/heart-disease

    • Search Google Scholar
    • Export Citation
  • Baker, T.B., Smith, S.S., Bolt, D.M., Loh, W.Y., Mermelstein, R., Fiore, M.C., … Collins, L.M. (2017). Implementing clinical research using factorial designs: A primer. Behavior Therapy, 48(4), 567580. https://doi.org/10.1016/j.beth.2016.12.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Balas, E.A., & Boren, S.A. (2000). Managing clinical knowledge for healthcare improvements. In J.H. van Bemmel & A.T. McCray (Eds.), Yearbook of medical informatics 2000 (Vol. 2000, pp. 6570). Schattauer.

    • Search Google Scholar
    • Export Citation
  • Benjamin, E.J., Virani, S.S., Callaway, C.W., Chamberlain, A.M., Chang, A.R., Cheng, S., … Muntner, P. (2018). Heart disease and stroke statistics—2018 update: A report from the American Heart Association. Circulation, 137(12), e67e492. https://doi.org/10.1161/CIR.0000000000000558

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, C.H., Kellam, S.G., Kaupert, S., Muthén, B.O., Wang, W., Muthén, L.K., … McManus, J.W. (2012). Partnerships for the design, conduct, and analysis of effectiveness, and implementation research: Experiences of the prevention science and methodology group. Administration and Policy in Mental Health and Mental Health Services Research, 39(4), 301316. https://doi.org/10.1007/s10488-011-0387-3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Campbell, B., Aguilar, M., Bhuket, T., Torres, S., Liu, B., & Wong, R.J. (2016). Females, Hispanics and older individuals are at greatest risk of developing metabolic syndrome in the US. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 10(4), 230233. https://doi.org/10.1016/j.dsx.2016.06.014

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Castelli, D.M., Welk, G., Brusseau, T.A., & McMullen, J. (2022). SWITCH-ing quality physical education to multicomponent comprehensive school physical activity programs. Journal of Physical Education, Recreation & Dance, 93(5), 3542. https://doi.org/10.1080/07303084.2022.2053484

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, Y., Barcelona, J., Cance, J.D., Calvert, H., Pitt Barnes, S., Wargo, J., & Castelli, D.M. (2020). Development of the fitness education index: A scale of organizational level capacity. Research Quarterly for Exercise and Sport, 91(1), 172178. https://doi.org/10.1080/02701367.2019.1654066

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colley, R.C., Wong, S.L., Garriguet, D., Janssen, I., Gorber, S.C., & Tremblay, M.S. (2012). Physical activity, sedentary behaviour and sleep in Canadian children: Parent-report versus direct measures and relative associations with health risk. Health Reports, 23(2), A1.

    • Search Google Scholar
    • Export Citation
  • Collins, L.M., Baker, T.B., Mermelstein, R.J., Piper, M.E., Jorenby, D.E., Smith, S.S., Christiansen, B.A., Schlam, T.R., Cook, J.W., & Fiore, M.C. (2011). The multiphase optimization strategy for engineering effective tobacco use interventions. Annals of Behavioral Medicine, 41(2), 208226. https://doi.org/10.1007/s12160-010-9253-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Collins, L.M., Chakraborty, B., Murphy, S.A., & Strecher, V. (2009). Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions. Clinical Trials, 6(1), 515. https://doi.org/10.1177/1740774508100973

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Collins, L.M., Murphy, S.A., Nair, V.N., & Strecher, V. (2005). A strategy for optimizing and evaluating behavioral interventions. Annals of Behavioral Medicine, 30(1), 6573. https://doi.org/10.1207/s15324796abm3001_8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Collins, L.M., Murphy, S.A., & Strecher, V. (2007). The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): New methods for more potent eHealth interventions. American Journal of Preventive Medicine, 32(5, Suppl. 1), S112S118. https://doi.org/10.1016/j.amepre.2007.01.022

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cosgrove, J.M., & Castelli, D.M. (2018). Physical activity and academic performance among adolescents in low-SES schools. American Journal of Health Education, 49(6), 354360. https://doi.org/10.1080/19325037.2018.1516167

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Eldredge, L.K.B., Markham, C.M., Ruiter, R.A., Fernández, M.E., Jorenby, D.E., Kok, G., & Parcel, G.S. (2016). Planning health promotion programs: An intervention mapping approach. John Wiley & Sons.

    • Search Google Scholar
    • Export Citation
  • Cosgrove, J.M., Chen, Y.T., & Castelli, D.M. (2018). Physical fitness, grit, school attendance, and academic performance among adolescents. BioMed Research International, 2018, Article 9801258. https://doi.org/10.1155/2018/9801258

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Julien, C., Castelli, D., Bray, D., Lee, S., Burson, S., & Jung, Y. (2021). Project moveSMART: Integrating physical activity and computer science learning in elementary school classrooms. Smart Health,, 19, 100163.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Glasgow, R.E., Lichtenstein, E., & Marcus, A.C. (2003). Why don’t we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. American Journal of Public Health, 93(8), 12611267. https://doi.org/10.2105/AJPH.93.8.1261

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Julien, C., Castelli, D., Bray, D., Lee, S., Burson, S., & Jung, Y. (2020). Project SMART: A cooperative educational game to increase physical activity in elementary schools. Smart Health, 19, Article 100163. https://doi.org/10.1016/j.smhl.2020.100163

    • Search Google Scholar
    • Export Citation
  • Jung, Y., Burson, S.L., Julien, C., Bray, D.F., & Castelli, D.M. (2021). Development of a school-based physical activity intervention using an integrated approach: Project SMART. Frontiers in Psychology, 3408.

    • Search Google Scholar
    • Export Citation
  • Jung, Y., Dingwell, J.B., Baker, B., Chopra, P., & Castelli, D.M. (2021). Cross-sectional study using virtual reality to measure cognition. Frontiers in Sports and Active Living, 2, Article 543676. https://doi.org/10.3389/fspor.2020.543676

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kennedy, S.G., Sanders, T., Estabrooks, P.A., Smith, J.J., Lonsdale, C., Foster, C., & Lubans, D.R. (2021). Implementation at‐scale of school‐based physical activity interventions: A systematic review utilizing the RE‐AIM framework. Obesity Reviews, 22(7), Article e13184. https://doi.org/10.1111/obr.13184

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kent, J.A., & Hayes, K.L. (2021). Exercise physiology from 1980 to 2020: Application of the natural sciences. Kinesiology Review, 10(3), 238247. https://doi.org/10.1123/kr.2021-0024

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Marshall, T., Champagne-Langabeer, T., Castelli, D., & Hoelscher, D. (2017). Cognitive computing and eScience in health and life science research: Artificial intelligence and obesity intervention programs. Health Information Science and Systems, 5(1), 111. https://doi.org/10.1007/s13755-017-0030-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mohr, D.C., Cheung, K., Schueller, S.M., Brown, C.H., & Duan, N. (2013). Continuous evaluation of evolving behavioral intervention technologies. American Journal of Preventive Medicine, 45(4), 517523. https://doi.org/10.1016/j.amepre.2013.06.006

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Onken, L.S. (2019). History and evolution of the NIH stage model. In S. Dimidjian (Ed.), Evidence-based practice in action: Bridging clinical science and intervention (pp. 2842). Guilford Publications.

    • Search Google Scholar
    • Export Citation
  • Pellegrini, C.A., Hoffman, S.A., Collins, L.M., & Spring, B. (2014). Optimization of remotely delivered intensive lifestyle treatment for obesity using the multiphase optimization strategy: Opt-IN study protocol. Contemporary Clinical Trials, 38(2), 251259. https://doi.org/10.1016/j.cct.2014.05.007

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Phelps, A., Jung, Y., & Castelli, D.M. (2019). Multicomponent optimization strategy and CSPAP implementation. In R. Carson & C.A. Webster (Eds.), Comprehensive school physical activity programs: Putting evidence-based research into practice (pp. 157–169). Human Kinetics.

    • Search Google Scholar
    • Export Citation
  • Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems, 2(1), 110. https://doi.org/10.1186/2047-2501-2-3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rojas, R., Aguilar-Salinas, C.A., Jiménez-Corona, A., Shamah-Levy, T., Rauda, J., Ávila-Burgos, L., … Lazcano Ponce, E. (2010). Metabolic syndrome in Mexican adults: Results from the National Health and Nutrition Survey 2006. Salud publica de Mexico, 52(Suppl. 1), S11S18. https://doi.org/10.1590/S0036-36342010000700004

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sagor, R. (1993). Using student team learning (4th ed.). Johns Hopkins Team Learning Project.

  • Sagor, R. (2002). Lessons from skateboarders. Educational Leadership, 60(1), 3439.

  • Sales-Mitchell, L., Owotomo, O., Maslowsky, J., & Castelli, D.M. (2022). Whole communities—whole health Photovoice data set, v 1.0 [Data set]. Unpublished raw data.

    • Search Google Scholar
    • Export Citation
  • Salganik, M.J. (2019). Bit by bit: Social research in the digital age. Princeton University Press.

  • Way, H.K., Mueller, E., & Wegmann, J. (2018). Uprooted: Residential displacement in Austin’s gentrifying neighborhoods and what can be done about it. The University of Texas at Austin (UTA) Center for Sustainable Development in the School of Architecture and the UTA Entrepreneurship and Community Development Clinic in the School of Law. http://dx.doi.org/10.26153/tsw/41738

    • Search Google Scholar
    • Export Citation
  • Wu, C., Fritz, H., Nagy, Z., Maestre, J.P., Thomaz, E., Julien, C., … Schnyer, D.M. (2020). Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts: Conceptual framework and findings from deployments. arXiv preprint arXiv:2010.08457.

    • Search Google Scholar
    • Export Citation
  • Xu, H., Li, X., Adams, H., Kubena, K., & Guo, S. (2018). Etiology of metabolic syndrome and dietary intervention. International Journal of Molecular Sciences, 20(1), Article 128. https://doi.org/10.3390/ijms20010128

    • Crossref
    • Search Google Scholar
    • Export Citation
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