GrOup based physical Activity for oLder adults (GOAL) randomized controlled trial: study protocol

Mark R Beauchamp, Samantha M Harden, Svenja A Wolf, Ryan E Rhodes, Yan Liu, William L Dunlop, Toni Schmader, Andrew W Sheel, Bruno D Zumbo, Paul A Estabrooks, Mark R Beauchamp, Samantha M Harden, Svenja A Wolf, Ryan E Rhodes, Yan Liu, William L Dunlop, Toni Schmader, Andrew W Sheel, Bruno D Zumbo, Paul A Estabrooks

Abstract

Background: Physical activity has health benefits across the lifespan, yet only 13 % of Canadian older adults are sufficiently active. Results from a number of observational studies indicate that adults display positive preferences for exercising with others of a similar age and same gender, and that intra-group age- and gender-similarity are associated with elevated exercise adherence. However, research has yet to experimentally examine the extent to which intra-group age- and gender-related similarity affect exercise adherence behaviors.

Methods/design: The GrOup-based physical Activity for oLder adults (GOAL) trial is a three-arm randomized control trial that will examine the efficacy of two different group-based exercise programs for older adults (informed by the tenets of self-categorization theory) in relation to a standard group-based exercise program. Within this manuscript we outline the design and proposed evaluation of the GOAL trial. The first arm is comprised of exercise groups made up of participants of a similar-age and of the same gender; the second arm consists of groups with similar-aged mixed gender participants; the control arm is comprised of mixed-aged mixed gender participants. We aim to compare the adherence rates of participants across conditions, as well as potential moderation effects and mediating mechanisms.

Discussion: Results from this trial will inform intervention designs to improve the exercise adherence behaviors of older adult. At a systems-level, should support be derived for the efficacy of the interventions tested in this trial, changing group composition (i.e., age, gender) represents a feasible program adaptation for physical activity centers.

Trial registration: ClinicalTrials.gov # NCT02023632 . Registered December 13, 2013.

Figures

Fig. 1
Fig. 1
Flow of participants through the trial

References

    1. Denys K, Cankurtaran M, Janssens W, Petrovic M. Metabolic syndrome in the elderly: an overview of the evidence. Acta Clin Belg. 2009;64(1):23–34. doi: 10.1179/acb.2009.006.
    1. Yazdanyar A, Newman AB. The burden of cardiovascular disease in the elderly: morbidity, mortality, and costs. Clin Geriatr Med. 2009;25(4):563–77. doi: 10.1016/j.cger.2009.07.007.
    1. Paterson DH, Warburton DER. Physical activity and functional limitations in older adults: a systematic review related to Canada’s Physical Activity Guidelines. Int J Behav Nutr Phys Act. 2010;7(8):1–22.
    1. Marsh AP, Lovato LC, Glynn NW, et al. Lifestyle interventions and independence for elders study: recruitment and baseline characteristics. J Gerontol A Biol Sci Med Sci. 2013;68(12):1549–58. doi: 10.1093/gerona/glt064.
    1. Colley RC, Garriguet D, Janssen I, Craig C, Clarke J, Tremblay MS. Physical activity of Canadian adults: accelerometer results from the 2007-2009 Canadian Health Measures Survey. Health Reports, Statistics Canada. 2011; Catalogue 82-003-XPE. . Accessed May 11, 2015.
    1. Kern ML, Reynolds CA, Friedman HS. Predictors of physical activity patterns across adulthood: a growth curve analysis. Pers Soc Psychol Bull. 2010;36(8):1058–72. doi: 10.1177/0146167210374834.
    1. Canadian Institute for Health Information (CIHI). National Health Expenditure Trends, 1975–2011. Ottawa, ON; 2011. . Accessed May 11, 2015.
    1. 2006 to 2101 Population Projections, Australia. Australian Bureau of Statistics. 2008; Catalogue 3222.0. . Accessed May 11, 2015.
    1. Rogerson PA, Kim D. Population distribution and redistribution of the baby-boom cohort in the United States: recent trends and implications. Proc Natl Acad Sci U S A. 2005;102(43):15319–24. doi: 10.1073/pnas.0507318102.
    1. Population Projections for Canada, Provinces and Territories, 2009 to 2036. Statistics Canada. 2010; Catalogue 91-520-X. . Accessed May 11, 2015.
    1. Carron AV, Hausenblas HA, Mack D. Social influence and exercise: a meta-analysis. J Sport Exerc Psychol. 1996;18(1):1–16.
    1. Dishman RK, Buckworth J. Increasing physical activity: a quantitative synthesis. Med Sci Sports Exerc. 1996;28(6):706–19. doi: 10.1097/00005768-199606000-00010.
    1. Estabrooks PA, Carron AV. The influence of the group with elderly exercisers. Small Gr Res. 1999;30(4):438–52. doi: 10.1177/104649649903000403.
    1. Estabrooks PA, Carron AV. Group cohesion is older adult exercisers: prediction and intervention effects. J Behav Med. 1999;22(6):575–88. doi: 10.1023/A:1018741712755.
    1. Dickens AP, Richards SH, Greaves CJ, Campbell JL. Interventions targeting social isolation in older people: a systematic review. BMC Public Health. 2011;11(647):1–22.
    1. Beauchamp MR, Carron AV, McCutcheon S, Harper O. Older adults’ preferences for exercising alone versus in groups: considering contextual congruence. Ann Behav Med. 2007;33(2):200–6. doi: 10.1007/BF02879901.
    1. Beauchamp MR, Dunlop WL, Downey SM, Estabrooks PA. First impressions count: perceptions of surface-level and deep-level similarity within postnatal exercise classes and implications for program adherence. J Health Psychol. 2012;17(1):68–76. doi: 10.1177/1359105311408156.
    1. Dunlop WL, Beauchamp MR. Examining the relationship between intra-group age similarity and adherence within group-based exercise programs. Am J Prev Med. 2012;42(1):53–5. doi: 10.1016/j.amepre.2011.08.018.
    1. Dunlop WL, Beauchamp MR. En-gendering choice: preferences for exercising in gender-integrated and gender-segregated groups and consideration of overweight status. Int J Behav Med. 2011;18(3):216–20. doi: 10.1007/s12529-010-9125-6.
    1. Dunlop WL, Beauchamp MR. When similarity makes a difference: predicting adherence behaviors and cohesion within exercise group settings. Group Dyn. 2011;15(3):258–66. doi: 10.1037/a0023642.
    1. Burton NW, Khan A, Brown WJ. How, where and with whom? physical activity context preferences of three adult groups at risk of inactivity. Br J Sports Med. 2012;46(16):1125–31. doi: 10.1136/bjsports-2011-090554.
    1. Dunlop WL, Beauchamp MR. Birds of a feather stay active together: a case study of an all-male older adult exercise program. J Aging Phys Act. 2013;21(2):222–32.
    1. Turner JC. Rediscovering the social group: a self-categorization theory. New York, NY: Basil Blackford; 1987.
    1. Hogg MA. Subjective uncertainty reduction through self-categorization: a motivational theory of social identity processes. Eur Rev Soc Psychol. 2000;11(1):223–55. doi: 10.1080/14792772043000040.
    1. Tajfel H. Social identity and intergroup behavior. Soc Sci Inform. 1974;13(1):65–93. doi: 10.1177/053901847401300204.
    1. Hogg MA. Social identity and the psychology of groups. In: Leary MR, Tangney JP, editors. Handbook of self and identity. 2. New York, NY: Guilford; 2012. pp. 502–19.
    1. Baranowski T, Anderson C, Carmack C. Mediating variable framework in physical activity interventions: how are we doing? how might we do better? Am J Prev Med. 1998;15(4):266–97. doi: 10.1016/S0749-3797(98)00080-4.
    1. Carron AV, Brawley LR, Widmeyer WN. The measurement of cohesiveness in sport groups. In: Duda JL, editor. Advances in sport and exercise psychology measurement. Morgantown, WV: Fitness Information Technology; 1998. pp. 213–26.
    1. Lawton R, Conner M, McEachan R. Desire or reason: predicting health behaviors from affective and cognitive attitudes. Health Psychol. 2009;28(1):56–65. doi: 10.1037/a0013424.
    1. Gellert P, Ziegelmann JP, Schwarzer R. Affective and health-related outcome expectancies for physical activity in older adults. Psychol Health. 2012;27(7):816–28. doi: 10.1080/08870446.2011.607236.
    1. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11(4):227–68. doi: 10.1207/S15327965PLI1104_01.
    1. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi: 10.1016/0749-5978(91)90020-T.
    1. Rhodes RE, Fiala B, Conner M. A review and meta-analysis of affective judgments and physical activity in adult populations. Ann Behav Med. 2009;38(3):180–204. doi: 10.1007/s12160-009-9147-y.
    1. Emmons RA, Diener E. A goal-affect analysis of everyday situational choices. J Res Pers. 1986;20(3):309–26. doi: 10.1016/0092-6566(86)90137-6.
    1. Dumas JE, Lynch AM, Laughlin JE, Smith EP, Prinz RJ. Promoting intervention fidelity: conceptual issues, methods, preliminary results from the early alliance prevention trial. Am J Prev Med. 2001;20(1):38–47. doi: 10.1016/S0749-3797(00)00272-5.
    1. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Brit Med J. 2010;340:869. doi: 10.1136/bmj.c869.
    1. Warburton DER, Jamnik VK, Bredin SSD, Gledhill N. The Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) and Electronic Physical Activity Readiness Medical Examination (ePARmed-X+): summary of consensus panel recommendations. The Health & Fitness Journal of Canada. 2011;4(2):3–23.
    1. Canadian Society for Exercise Physiology (CSEP). Canadian physical activity guidelines and Canadian sedentary behaviour guidelines. . Accessed May 11, 2015.
    1. Shields M, Martel L. Healthy living among seniors. Statistics Canada, Supplement to Health Reports. 2006; Catalogue 82-003. . Accessed May 11, 2015.
    1. Bandura A. Self-efficacy: the exercise of control. New York, NY: Freeman; 1997.
    1. American Council on Exercise . Ace group fitness instructor manual: a guide for fitness professionals. 2. Monterey, CA: Healthy Learning; 2007.
    1. McNaughton SA, Crawford D, Ball K, Salmon J. Understanding determinants of nutrition, physical activity and quality of life among older adults: the Wellbeing, Eating and Exercise for a Long Life (WELL) study. Health Qual Life Outcomes. 2012;10(109):1–7.
    1. King AC, Castro C, Wilcox S, Eyler AA, Sallis JF, Brownson RC. Personal and environmental factors associated with physical inactivity among different racial-ethnic groups of U.S. middle-aged and older-aged women. Health Psychol. 2000;19(4):354–64. doi: 10.1037/0278-6133.19.4.354.
    1. Statistics Canada. Census 2006 – 2B (long form). . Accessed May 11, 2015.
    1. Godin G. The Godin-Shephard Leisure-Time Physical Activity Questionnaire. The Health Fit J Can. 2011;4(1):18–22.
    1. Wilcox S, King AC, Brassignton GS, Ahn DK. Physical activity preferences of middle-aged and older adults: a community analysis. J Aging Phys Activ. 1999;7(4):386–99.
    1. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Activ. 1999;7(2):129–61.
    1. Estabrooks PA, Carron AV. The Physical Activity Group Environment Questionnaire: an instrument for the assessment of cohesion in exercise classes. Group Dyn. 2000;4(3):230–43. doi: 10.1037/1089-2699.4.3.230.
    1. Rhodes RE, Matheson DH. Discrepancies in exercise intention and expectation: theoretical and applied issues. Psychol Health. 2005;20(1):63–78. doi: 10.1080/08870440412331296071.
    1. Gosling SD, Rentfrow PJ, Swann WB., Jr A very brief measure of the Big-Five personality domains. J Res Pers. 2003;37(6):504–28. doi: 10.1016/S0092-6566(03)00046-1.
    1. Poag-Ducharme KA, Brawley LR. Self-efficacy theory: use in the prediction of exercise behavior in the community setting. J Appl Sport Psychol. 1993;5(2):178–94. doi: 10.1080/10413209308411313.
    1. Bray SR, Gyurcsik NC, Culos-Reed SN, Dawson KA, Martin KA. An exploratory investigation of the relationship between proxy efficacy, self-efficacy and exercise attendance. J Health Psychol. 2001;6(4):425–34. doi: 10.1177/135910530100600405.
    1. Pinel EC. Stigma consciousness: the psychological legacy of social stereotypes. J Pers Soc Psychol. 1999;76(1):114–28. doi: 10.1037/0022-3514.76.1.114.
    1. Harden SM, Estabrooks PA, Mama SK, Lee RE. Longitudinal analysis of minority women’s perceptions of cohesion: the role of cooperation, communication, and competition. Int J Behav Nutr Phys Act. 2014;11(57):1–8.
    1. Diener E, Wirtz D, Tov W, Kim-Prieto C, Choi D, Oishi S, Biswas-Diener R. New well-being measures: short scales to assess flourishing and positive and negative feelings. Soc Indic Res. 2010;97(2):143–56. doi: 10.1007/s11205-009-9493-y.
    1. Plummer ML, Wight D, Obasi AIN, et al. A process evaluation of a school-based adolescent sexual health intervention in rural Tanzania: the MEMA kwa Vijana programme. Health Educ Res. 2007;22(4):500–12. doi: 10.1093/her/cyl103.
    1. Collins LM, Murphy SA, Nair VN, Strecher VJ. A strategy for optimizing and evaluating behavioral interventions. Ann Behav Med. 2005;30(1):65–73. doi: 10.1207/s15324796abm3001_8.
    1. Merrick E. An exploration of quality in qualitative research: are “reliability” and “validity” relevant? In: Kopala M, Suzuki LA, editors. Using qualitative methods in psychology. Thousand Oaks, CA: Sage; 1999. pp. 25–36.
    1. Faul F, Erdfelder E. GPOWER: a priori, post-hoc, and compromise power analyses for MS-DOS [Computer Program] Bonn, GER: University of Bonn; 1992.
    1. MacCallum RC, Browne MW, Sugawara HM. Power analysis and determination of sample size for covariance structure modeling. Psychol Methods. 1996;1(2):130–49. doi: 10.1037/1082-989X.1.2.130.
    1. Preacher KJ, Coffman DL. Computing power and minimum sample size for RMSEA [Computer software]. . Published November 5, 2006. Accessed May 11, 2015.
    1. Garver MS, Mentzer JT. Logistics research methods: employing structural equation modeling to test for construct validity. J Bus Logist. 1999;20(1):33–57.
    1. Guest G, Bunce A, Johnson L. How many interviews are enough? an experiment with data saturation and variability. Field Methods. 2006;18(1):59–82. doi: 10.1177/1525822X05279903.
    1. Cole DA, Maxwell SE. Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling. J Abnorm Psychol. 2003;112(4):558–77. doi: 10.1037/0021-843X.112.4.558.
    1. Dunlop WL, Falk C, Beauchamp MR. How dynamic are exercise group dynamics? examining changes in cohesion within class-based exercise programs. Health Psychol. 2013;32(12):1240–3. doi: 10.1037/a0030412.
    1. Muthén LK, Muthén BO. Mplus User’s Guide. 6. Los Angeles, CA: Muthén & Muthén; 2010.
    1. Enders CK, Bandalos DL. The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Struct Equ Model. 2001;8(3):430–57. doi: 10.1207/S15328007SEM0803_5.
    1. Creswell JW. Qualitative inquiry and research design: choosing among the five traditions. Thousand Oaks, CA: Sage; 1998.
    1. Schwandt TA. Three epistemological stances for qualitative enquiry: interpretivism, hermeneutics, and social constructionism. In: Denzin NK, Lincoln YS, editors. Handbook of qualitative research. 2. Thousand Oaks, CA: Sage; 2000. pp. 189–213.
    1. Maykut P, Morehouse R. Beginning qualitative research: a philosophic and practical guide. Lewes, UK: Falmer; 1994.
    1. Nelson ME, Rejeski WJ, Blair SN, et al. Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Circulation. 2007;116:1094–105. doi: 10.1161/CIRCULATIONAHA.107.185650.

Source: PubMed

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