In this paper, we argue that the social influence of the group is a supportive medium for older adult thriving. To promote the physical well-being aspect of thriving, we discuss groups as one means of offering social support. We present a specific model of physical activity intervention (i.e., group-mediated cognitive behavioral intervention) that uses deliberately-formed interactive groups to help motivate older adults to engage in and sustain physical activity. Our article includes four sections that concern the GMCB intervention model. The first serves as background as to why groups can be powerful behavior change agents and describes the basic model of group motivated intervention. The second section provides a generic description of the intervention structure and how the GMCB intervention is conducted. The third section presents a meta-analytic summary of results of older adult GMCB physical activity interventions across three levels of outcomes: adherence to physical activity, functional and physiological, and social cognitive. The fourth section concludes with commentary about the translational perspective for the GMCB in the future.
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L.R. Brawley, P.K. Flora, S.R. Locke, and M.S.H. Gierc
Kim Gammage, Rachel Arnold, Nicole Bolter, Angela Coppola, Thomas Curran, Lori Dithurbide, Karl Erickson, Larkin Lamarche, Sean Locke, Luc Martin, and Kathleen Wilson
disease-related prevention and management strategy for individuals with knee OA, yet rates of participation in regular physical activity are low. The authors employed a group-mediated and social cognitive theory-based intervention approach that has been demonstrated to be an effective means of promoting
Samantha J.D. Jeske, Lawrence R. Brawley, and Kelly P. Arbour-Nicitopoulos
with SCI, self-regulatory cognitions and behaviors have significant direct and mediating effects, respectively, on LTPA behavior ( Martin Ginis et al., 2011 ). One type of self-regulatory skills training intervention that has shown promise for enhancing LTPA participation in adults with SCI is group-mediated
Emily Kroshus
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Heather J. Leach, Katie B. Potter, and Mary C. Hidde
WJ , Brawley LR , Ambrosius WT , et al . Older adults with chronic disease: benefits of group-mediated counseling in the promotion of physically active lifestyles . Health Psychol . 2003 ; 22 ( 4 ): 414 – 423 . PubMed ID: 12940398 doi:10.1037/0278-6133.22.4.414 10
Alyson J. Crozier, Luc J. Martin, and Kevin S. Spink
Journal of Sociology, 63, 42 – 48 . doi:10.1086/222132 10.1086/222132 Brawley , L.R. , Flora , P.K. , Locke , S.R. , & Gierc , M.S.H. ( 2014 ). Efficacy of the group-mediated cognitive behavioral intervention: A decade of physical activity research . In M.R. Beauchamp & M.A. Eys (eds
Shijun Zhu, Eun-Shim Nahm, Barbara Resnick, Erika Friedmann, Clayton Brown, Jumin Park, Jooyoung Cheon, and DoHwan Park
than among the ≥65-year-old group. The estimated mediation for each age group showed that the change of SEE significantly mediated the intervention effect on exercise in the 50- to 64-year-old group (mediation effect = 0.061, 95% BCI: 0.011, 0.163), but not in the≥65-year-old group (meditation effect
Jocelyn Kernot, Lucy Lewis, Tim Olds, and Carol Maher
.20090139 20056720 10.2522/ptj.20090139 11. Cramp AG , Brawley LR . Moms in motion: a group-mediated cognitive-behavioral physical activity intervention . Int J Behav Nutr Phys Act . 2006 ; 3 ( 1 ): 23 . doi:10.1186/1479-5868-3-23 16925809 10.1186/1479-5868-3-23 12. Østbye T , Krause KM
Edward M. Kian and Matthew Zimmerman
. , Panagiotidis , T. , & Ziogas , T. ( 2020 ). Conspiracism on social media: An agenda melding of group-mediated deceptions . International Journal of Media & Cultural Politics, 16 ( 2 ), 115 – 138 . https://doi.org/10.1386/macp_00020_1 Bredikhina , N. , Sveinson , K. , & Kunkel , T. ( 2022
Chantelle Zimmer and Meghan H. McDonough
older adults: Group-mediated cognitive behavioral interventions . Kinesiology Review, 5 ( 1 ), 39 – 49 . doi:10.1123/kr.2015-0051 10.1123/kr.2015-0051 Canadian Longitudinal Study on Aging . ( 2020 ). CLSA technical document 2020: Sampling and computation of response rates and sample weights for the