Longitudinal relationships between self-concept for physical activity and neighborhood social life as predictors of physical activity among older African American adults

Allison M Sweeney, Dawn K Wilson, M Lee Van Horn, Allison M Sweeney, Dawn K Wilson, M Lee Van Horn

Abstract

Background: Engaging in regular physical activity (PA) as an older adult has been associated with numerous physical and mental health benefits. The aim of this study is to directly compare how individual-level cognitive factors (self-efficacy for PA, self-determined motivation for PA, self-concept for PA) and neighborhood perceptions of the social factors (neighborhood satisfaction, neighborhood social life) impact moderate-to-vigorous physical activity (MVPA) longitudinally among older African American adults.

Methods: Data were analyzed from a sub-set of older African American adults (N = 224, M age = 63.23 years, SD = 8.74, 63.23% female, M Body Mass Index = 32.01, SD = 7.52) enrolled in the Positive Action for Today's Health trial. MVPA was assessed using 7-day accelerometry-estimates and psychosocial data (self-efficacy for PA, self-determined motivation for PA, self-concept for PA, neighborhood satisfaction, neighborhood social life) were collected at baseline, 12-, 18-, and 24-months.

Results: Multilevel growth modeling was used to examine within- and between-person effects of individual-level cognitive and social environmental factors on MVPA. At the between-person level, self-concept (b = 0.872, SE = 0.239, p < 0.001), and neighborhood social life (b = 0.826, SE = 0.176, p < 0.001) predicted greater MVPA, whereas neighborhood satisfaction predicted lower MVPA (b = -0.422, SE = 0.172, p = 0.015). Among the between-person effects, only average social life was moderated by time (b = 0.361, SE = 0.147, p = 0.014), indicating that the impact of a relatively positive social life on MVPA increased across time. At the within-person level, positive increases in self-concept (b = 0.294, SE = 0.145, p = 0.043) and neighborhood social life (b = 0.270, SE = 0.113, p = 0.017) were associated with increased MVPA.

Conclusions: These results suggest that people with a higher average self-concept for PA and a more positive social life engaged in greater average MVPA. Additionally, changes in perceptions of one's neighborhood social life and one's self-concept for PA were associated with greater MVPA over 2 years. These factors may be particularly relevant for future interventions targeting long-term change and maintenance of MVPA in older African Americans.

Trial registration: ClinicalTrials.Gov # NCT01025726 registered 1 December 2009.

Keywords: Neighborhood Social Environment; Older adults; Physical activity; Self-concept.

References

    1. Agency for Healthcare Research and Quality. Centers for Disease Control and Prevention. Physical activity and older Americans. Benefits and strategies. 2008. . Accessed 20 Oct 2016.
    1. U.S. Department of Health and Human Services. 2008 physical activity guidelines for Americans. . Accessed 20 Dec 2016.
    1. Chodzko-Zajko WJ, Wojtek J. Exercise and physical activity for older adults. Kinesiol Rev. 2014;3:101–106. doi: 10.1123/kr.2014-0043.
    1. Elsawy B, Higgins KE. Physical activity guidelines for older adults. Am Fam Physician. 2010;81:55–59.
    1. Wen CP, Wai JP, Tsai MK, Yang YC, Cheng TY, Lee MC, Chan HT, Tsao CK, Tsai SP, Wu X. Minimum amount of physical activity for reduced mortality and extended life expectancy: a prospective cohort study. Lancet. 2011;378:1244–1253. doi: 10.1016/S0140-6736(11)60749-6.
    1. Lee Y, Park K. Health practices that predict recovery from functional limitations in older adults. Am J Prev Med. 2006;31:25–31. doi: 10.1016/j.amepre.2006.03.018.
    1. Sjösten N, Kivelä S-L. The effects of physical exercise on depressive symptoms among the aged: a systematic review. Int J Geriatr Psychiatry. 2006;21:410–418. doi: 10.1002/gps.1494.
    1. Angevaren M, Aufdemkampe G, Verhaar H, Aleman A, Vanhees L. Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment. Cochrane Database Syst Rev. 2008:1–73. doi:10.1002/14651858.CD005381.
    1. Colcombe S, Kramer AF. Fitness effects on the cognitive function of older adults: a meta-analytic study. Psychol Sci. 2003;14:125–130. doi: 10.1111/1467-9280.t01-1-01430.
    1. Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, Kim JS, Heo S, Alves H, White SM, Wojcicki TR. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci. 2011;108:3017–3022. doi: 10.1073/pnas.1015950108.
    1. Spiduso WW, Cronin DL. Exercise dose-response effects on quality of life and independent living in older adults. Med Sci Sports Exerc. 2001;33:S598–S608. doi: 10.1097/00005768-200106001-00028.
    1. Davis MG, Fox KR. Physical activity patterns assessed by accelerometry in older people. Eur J Appl Physiol. 2007;100:581–589. doi: 10.1007/s00421-006-0320-8.
    1. Rutten A, Abu-Omar K. Prevalence of physical activity in the European Union. Soc Prev Med. 2004;49:281–289.
    1. Watson KB, Carlson SA, Gunn JP, Galuska DA, O’Connor A, Greenlund KJ, Fulton JE. Physical Inactivity Among Adults Aged 50 Years and Older — United States, 2014. Morb Mortal Wkly Rep. 2016;65:954–958. doi: 10.15585/mmwr.mm6536a3.
    1. Sun F, Norman IJ, While AE. Physical activity in older people: a systematic review. BMC Public Health. 2013;13:1–17. doi: 10.1186/1471-2458-13-1.
    1. Center for Disease Control and Prevention. State Indicator Report on Physical Activity. 2014. Accessed 20 Oct 2016.
    1. Ward BW, Clark TC, Nugent CN, Schiller JS. Early release of selected estimates based on data from the 2015 National Health Interview Survey. National Center for Health Statistics 2016. Accessed 20 Oct 2016.
    1. Centers for Disease Control and Prevention CDC Health Disparities and Inequalities Report – United States, 2013. MMWR: Morb Mortal Wkly Rep. 2013;62:1–186.
    1. Van Lenthe FJ, Martikainen P, Mackenbach JP. Neighbourhood inequalities in health and health-related behaviour: results of selective migration? Health Place. 2007;13:123–137. doi: 10.1016/j.healthplace.2005.09.013.
    1. King AC. Interventions to promote physical activity by older adults. J Gerontol Ser A Biol Med Sci. 2001;56:36–46. doi: 10.1093/gerona/56.suppl_2.36.
    1. van Stralen MM, De Vries H, Mudde AN, Bolman C, Lechner L. Determinants of initiation and maintenance of physical activity among older adults: a literature review. Health Psychol Rev. 2009;3:147–207. doi: 10.1080/17437190903229462.
    1. Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84:191–215. doi: 10.1037/0033-295X.84.2.191.
    1. Bandura A. Social foundations of thought and action: a social cognitive theory. Prentice-Hall, Inc: New York, NY; 1986.
    1. McAuley E. Self-efficacy and the maintenance of exercise participation in older adults. J Behav Med. 1993;16:103–113. doi: 10.1007/BF00844757.
    1. McAuley E, Lox C, Duncan TE. Long-term maintenance of exercise, self-efficacy, and physiological change in older adults. J Gerontol. 1993;48:218–224. doi: 10.1093/geronj/48.4.P218.
    1. Booth ML, Owen N, Bauman A, Clavisi O, Leslie E. Social–cognitive and perceived environment influences associated with physical activity in older Australians. Prev Med. 2000;31:15–22. doi: 10.1006/pmed.2000.0661.
    1. McAuley E, Morris KS, Motl RW, Hu L, Konopack JF, Elavsky S. Long-term follow-up of physical activity behavior in older adults. Health Psychol. 2007;26:375–380. doi: 10.1037/0278-6133.26.3.375.
    1. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55:68–78. doi: 10.1037/0003-066X.55.1.68.
    1. Ryan RR, Williams GC, Patrick H, Deci EL. Self-determination theory and physical activity: the dynamics of motivation in development and wellness. Hell J Psychol. 2009;6:107–124.
    1. Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behavl Nutr Phys Act. 2012;9:1–30. doi: 10.1186/1479-5868-9-1.
    1. Stewart AL, Verboncoeur CJ, McLellan BY, Gillis DE, Rush S, Mills KM, King AC, Ritter P, Brown BW, Bortz WM. Physical activity outcomes of CHAMPS II a physical activity promotion program for older adults. J Gerontol Ser A Biol Med Sci. 2001;56:M465–M470. doi: 10.1093/gerona/56.8.M465.
    1. Milne HM, Wallman KE, Guilfoyle A, Gordon S, Courneya KS. Self-determination theory and physical activity among breast cancer survivors. J Sport Exerc Psychol. 2008;30:23–38. doi: 10.1123/jsep.30.1.23.
    1. Hurkmans EJ, Maes S, De Gucht V, Knittle K, Peeters AJ, Ronday HK, Vliet Vlieland TPM. Motivation as a determinant of physical activity in patients with rheumatoid arthritis. Arthritis Care Res. 2010;62:371–377. doi: 10.1002/acr.20106.
    1. Russell KL, Bray SR. Self-determined motivation predicts independent, home-based exercise following cardiac rehabilitation. Rehabil Psychol. 2009;54:150–156. doi: 10.1037/a0015595.
    1. Stets JE, Burke PJ. Identity theory and social Identity theory. Soc Psychol Q. 2000;63:224–237. doi: 10.2307/2695870.
    1. Marsh HW, Papaioannou A, Theodorakis Y. Causal ordering of physical self-concept and exercise behavior: reciprocal effects model and the influence of physical education teachers. Health Psychol. 2006;25:316–328. doi: 10.1037/0278-6133.25.3.316.
    1. Marsh HW, Gerlach E, Trautwein U, Lüdtke O, Brettschneider WD. Longitudinal study of preadolescent sport self-concept and performance: reciprocal effects and causal ordering. Child Dev. 2007;78:1640–1656. doi: 10.1111/j.1467-8624.2007.01094.x.
    1. Wichstrøm L, Kvalem IL. Predictors of growth and decline in leisure time physical activity from adolescence to adulthood. Health Psychol. 2013;32:775–584. doi: 10.1037/a0029465.
    1. Lemoyne J, Valois P, Guay F. Physical self-concept and participation in physical activity in college students. Med Sci Sports Exerc. 2015;47:142–150. doi: 10.1249/MSS.0000000000000378.
    1. Markus HR, Herzog AR. The role of the self-concept in aging. In: Warner Schaie K, editor. Annual review of gerontology and geriatrics. New York, NY: Springer Publishing Company; 1991. pp. 110–143.
    1. Atchley RC. Continuity theory and the evolution of activity in later adulthood. In: Kelly JR, editor. Activity and aging: staying involved in later adulthood. Newbury Park, CA: Sage Publications; 1993. pp. 5–16.
    1. Mannell RC. High-investment activity and life satisfaction among older adults: committed, serious leisure, and flow activities. In: Kelly JR, editor. Activity and aging: staying involved in later adulthood. Newbury Park, CA: Sage Publications; 1993. pp. 123–145.
    1. Cross S, Markus H. Possible selves across the life span. Hum Dev. 1991;34:230–255. doi: 10.1159/000277058.
    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;19:354–364.
    1. King WC, Brach JS, Belle S, Killingsworth R, Fenton M, Kriska AM. The relationship between convenience of destinations and walking levels in older women. Am J Health Promot. 2003;18:74–82. doi: 10.4278/0890-1171-18.1.74.
    1. Kerr J, Rosenberg D, Frank L. The role of the built environment in healthy aging: community design, physical activity, and health among older adults. J Plan Lit. 2012;27:43–60. doi: 10.1177/0885412211415283.
    1. Carlson JA, Sallis JF, Conway TL, Saelens BE, Frank LD, Kerr J, Cain KL, King AC. Interactions between psychosocial and built environment factors in explaining older adults’ physical activity. Prev Med. 2012;54:68–73. doi: 10.1016/j.ypmed.2011.10.004.
    1. Sampson RJ, Raudenbush SW, Earls F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 1997;277:918–924. doi: 10.1126/science.277.5328.918.
    1. Fisher KJ, Li F. Neighborhood-level influences on physical activity among older adults: a multilevel analysis. J Aging Physc Act. 2004;12:45–63. doi: 10.1123/japa.12.1.45.
    1. Mendes De Leon CF, Cagney KA, Bienias JL, Barnes LL, Skarupski KA, Scherr PA, Evans DA. Neighborhood social cohesion and disorder in relation to walking in community-dwelling older adults: a multi-level analysis. J Aging Heal. 2009;21:155–171. doi: 10.1177/0898264308328650.
    1. Barrera M, Toobert DJ, Angell KL, Glasgow RE, MacKinnon DP. Social support and social-ecological resources as mediators of lifestyle intervention effects for type 2 diabetes. J Health Psychol. 2006;11:483–495. doi: 10.1177/1359105306063321.
    1. Burton LC, Shapiro S, German PS. Determinants of physical activity initiation and maintenance among community-dwelling older persons. Prev Med. 1999;29:422–430. doi: 10.1006/pmed.1999.0561.
    1. McNeill LH, Kreuter MW, Subramanian SV. Social environment and physical activity: a review of concepts and evidence. Soc Sci Med. 2006;63:1011–1022. doi: 10.1016/j.socscimed.2006.03.012.
    1. Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults ’ participation in physical activity : review and update. Med Sci Sport Exerc. 2002;34:1996–2001. doi: 10.1097/00005768-200212000-00020.
    1. Giles-Corti B, Timperio A, Bull F, Pikora T. Understanding physical activity environmental correlates: increased specificity for ecological models. Exerc Sport Sci Rev. 2005;33:175–181. doi: 10.1097/00003677-200510000-00005.
    1. Resnicow K, Jackson A, Blissett D, Wang T, McCarty F, Rahotep S, Periasamy S. Results of the healthy body healthy spirit trial. Health Psychol. 2005;24:339–348. doi: 10.1037/0278-6133.24.4.339.
    1. Parra-Medina D, Wilcox S, Salinas J, Addy C, Fore E, Poston M, Wilson DK. Results of the heart healthy and ethnically relevant lifestyle trial: a cardiovascular risk reduction intervention for African American women attending community health centers. Am J Public Health. 2011;101:1914–1921. doi: 10.2105/AJPH.2011.300151.
    1. Powell LM, Slater S, Chaloupka FJ, Harper D. Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study. Am J Public Health. 2006;96:1676–1680. doi: 10.2105/AJPH.2005.065573.
    1. Joseph RP, Ainsworth BE, Keller C, Dodgson JE. Barriers to physical activity among African American women: an integrative review of the literature. Women Health. 2015;55:679–699. doi: 10.1080/03630242.2015.1039184.
    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 US middle-aged and older-aged women. Health Psychol. 2000;19:354–364.
    1. Bopp M, Lattimore D, Wilcox S, Laken M, McClorin L, Swinton R, Gethers O, Bryant D. Understanding physical activity participation in members of an African American church: a qualitative study. Health Educ Res. 2007;22:815–826. doi: 10.1093/her/cyl149.
    1. Doldren MA, Webb FJ. Facilitators of and barriers to healthy eating and physical activity for black women: a focus group study in Florida. USA Crit Public Health. 2013;23:32–38. doi: 10.1080/09581596.2012.753407.
    1. Cheung C, Wyman J, Gross C, Peters J, Findorff M, Stock H. Exercise behavior in older adults. A test of the transtheoretical model. J Aging Phys. Activ. 2007;15:103–118. doi: 10.1123/japa.15.1.103.
    1. Duncan TE, McAuley E. Social support and efficacy cognitions in exercise adherence: a latent growth curve analysis. J Behav Med. 1993;16:199–218. doi: 10.1007/BF00844893.
    1. Oman RF, King AC. Predicting the adoption and maintenance of exercise participation using self-efficacy and previous exercise participation rates. Am J Health Promot. 1998;12:154–161. doi: 10.4278/0890-1171-12.3.154.
    1. Kelley K, Abraham C. RCT of a theory-based intervention promoting healthy eating and physical activity amongst out-patients older than 65 years. Soc Sci Med. 2004;59:787–797. doi: 10.1016/j.socscimed.2003.11.036.
    1. Pinto BM, Lynn H, Marcus BH, DePue J, Goldstein MG. Physician-based activity counseling: intervention effects on mediators of motivational readiness for physical activity. Ann Behav Med. 2001;23(1):2–10. doi: 10.1207/S15324796ABM2301_2.
    1. Burke V, Beilin L, Cutt H, Mansou J, Mori T. Moderators and mediators of behaviour change in a lifestyle program for treated hypertensives: A randomized controlled.trial (ADAPT) Health Educ Res. 2007;B:583–591. doi: 10.1093/her/cym047.
    1. Wilson DK, Trumpeter NN, St., George SM, Coulon SM, Griffin S, lee van Horn M, Lawman HG, Wandersman a, Egan B, Forthofer M, Goodlett BD, Kitzman-Ulrich H, Gadson B. An overview of the “positive action for Today’s health” (PATH) trial for increasing walking in low income, ethnic minority communities. Contemp Clin Trials. 2010;31:624–633. doi: 10.1016/j.cct.2010.08.009.
    1. Wilson DK, Van Horn ML, Siceloff ER, Alia KA, St. George SM, Lawman HG, Trumpeter NN, Coulon SM, Griffin SF, Wandersman A, Egan B, Colabianchi N, Forthofer M, Gadson B. The results of the Positive action for Today’s health (PATH) trial for increasing walking and physical activity in underserved African-American communities. Ann Behav Med. 2015;49:398–410. doi: 10.1007/s12160-014-9664-1.
    1. Coulon SM, Wilson DK, Griffin S, St. George SM, Alia KA, Trumpeter NN, Wandersman AK, Forthofer M, Robinson S, Gadson B. Formative process evaluation for implementing a social marketing intervention to increase walking among African Americans in the positive action for today’s health trial. Am J Public Health. 2012;102:2315–2321. doi: 10.2105/AJPH.2012.300758.
    1. Esliger DW, Tremblay MS. Technical reliability assessment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc. 2006;38:2173–2181. doi: 10.1249/01.mss.0000239394.55461.08.
    1. Kayes NM, Schluter PJ, McPherson KM, Leete M, Mawston G, Taylor D. Exploring actical accelerometers as an objective measure of physical activity in people with multiple sclerosis. Arch Phys Med Rehabil. 2009;90:594–601. doi: 10.1016/j.apmr.2008.10.012.
    1. Trumpeter NN, Lawman HG, Wilson DK, Pate RR, Van Horn M.L, Tate AK. Accelerometry cut points for physical activity in underserved African Americans. Int J Behavl Nutr Phys Act 2012;9:1-7. doi: 10.1186/1479-5868-9-73.
    1. Wilson DK, Friend R, Teasley N, Green S, Reaves IL, Sica DA. Motivational versus social cognitive interventions for promoting fruit and vegetable intake and physical activity in African American adolescents. Ann Behav Med. 2002;2:310–319. doi: 10.1207/S15324796ABM2404_07.
    1. Wilson D, Evan A, Williams J, Mixon G, Sirad J, Pate R. A preliminary test of a student-centered intervention on increasing physical activity in underserved adolescents. Ann Behav Med. 2005;30:119–124. doi: 10.1207/s15324796abm3002_4.
    1. Mullan E, Markland D, Ingledew DK. A graded conceptualisation of self-determination in the regulation of exercise behaviour: development of a measure using confirmatory factor analytic procedures. Pers Individ Dif. 1997;23:745–752. doi: 10.1016/S0191-8869(97)00107-4.
    1. George SM, Wilson DK, Lawman HG, Van Horn ML. Weight status as a moderator of the relationship between motivation, emotional social support, and physical activity in underserved adolescents. J Ped Psychol. 2013;38:387–397. doi: 10.1093/jpepsy/jss178.
    1. Garcia AW, King AC. Predicting long-term adherence to aerobic exercise: a comparison of two models. J Exerc Sports Psychol. 1991;13:394–410. doi: 10.1123/jsep.13.4.394.
    1. Saelens BE, Sallis JF, Black JB, Chen D. Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health. 2003;93:1552–1558. doi: 10.2105/AJPH.93.9.1552.
    1. Elliott DS, Wilson WJ, Huizinga D, Sampson RJ, Elliott A, Rankin B. The effects of neighborhood disadvantage on adolescent development. J Res Crime Delinq. 1996;33:389–426. doi: 10.1177/0022427896033004002.
    1. Catellier DJ, Hannan PJ, Murray DM, Addy CL, Conway TL, Yang S, Rice JC. Imputation of missing data when measuring physical activity by accelerometry. Med Sci Sports Exerc. 2005;37:S555–S562. doi: 10.1249/01.mss.0000185651.59486.4e.
    1. Enders CK. Analyzing longitudinal data with missing values. Rehabil Psychol. 2011;56:267–288. doi: 10.1037/a0025579.
    1. van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med. 1999;18:681–694. doi: 10.1002/(SICI)1097-0258(19990330)18:6<681::AID-SIM71>;2-R.
    1. van Buuren S, Groothuis-Oudshoorn K. MICE: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1–67. doi: 10.18637/jss.v045.i03.
    1. Singer JD, Willett JB. Applied longitudinal data analysis: Modeling change and event occurrence. Oxford: Oxford University Press; 2003.
    1. Hox JJ, Moerbeek M, van de Schoot R. Multilevel analysis: techniques and applications. Routledge; 2010.
    1. Brassington GS, Atienza AA, Perczek RE, Dilorenzo TM, King AC. Intervention-Related Cognitive Versus Social Mediators of Exercise Adherence in the Elderly. Am J Prev Med. 2002;23:80–86. doi: 10.1016/S0749-3797(02)00477-4.
    1. Mcauley E, Jerome GJ, Marquez DX, Elavsky S, Blissmer B. Exercise Self-Efficacy in Older Adults: Social, Affective, and Behavioral Influences. Ann Behav Med. 2003;25:1–7. doi: 10.1207/S15324796ABM2501_01.
    1. Markus H, Wurf E. The dynamic self-concept: a social psychological perspective. Annu Rev Psychol. 1987;3:299–337. doi: 10.1146/annurev.ps.38.020187.001503.
    1. Wilson DK, Ellerbe C, Lawson AB, Alia KA, Meyers DC, Coulon SM, Lawman HG. Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial. Spat spatio-temporal epidemiol. 2013;4:15–23. doi: 10.1016/j.sste.2012.10.001.
    1. Strath SJ, Greenwald MJ, Isaacs R, Hart TL, Lenz EK, Dondzila CJ, Swartz AM. Measured and perceived environmental characteristics are related to accelerometer defined physical activity in older adults. Int J Behav Nutr Phys Act. 2012;9:40. doi: 10.1186/1479-5868-9-40.
    1. Cunningham GO, Michael YL. Concepts guiding the study of the impact of the built environment on physical activity for older adults: a review of the literature. Am J Health Promot. 2004;18:435–443. doi: 10.4278/0890-1171-18.6.435.
    1. Shigematsu R, Sallis J, Conway T, Saelens B, Frank L, Cain K, Chapman JE, King A. Age differences in the relation of perceived neighborhood environment to walking. Med Sci Sports Exerc. 2009;41:314–321. doi: 10.1249/MSS.0b013e318185496c.
    1. Orsega-Smith E, Payne LL, Mowen AJ, Ho CH, Godbey GC. The role of social support and self-efficacy in shaping the leisure time physical activity of older adults. J Leis Res. 2007;39:705–727.
    1. Wilcox S, Castro C, King AC, Housemann R, Brownson RC. Determinants of leisure time physical activity in rural compared with urban older and ethnically diverse women in the United States. J Epidemiol Community Health. 2000;54:667–672. doi: 10.1136/jech.54.9.667.
    1. Van Cauwenberg J, De Donder L, Clarys P, De Bourdeaudhuij I, Buffel T, De Witte N, Dury S, Verte D, Deforche B. Relationships between the perceived neighborhood social environment and walking for transportation among older adults. Soc Sci Med. 2014;104:23–30. doi: 10.1016/j.socscimed.2013.12.016.
    1. Lindström M, Hanson BS, Östergren PO. Socioeconomic differences in leisure-time physical activity: the role of social participation and social capital in shaping health related behaviour. Soc Sci Med. 2001;52:441–451. doi: 10.1016/S0277-9536(00)00153-2.
    1. Oka RK, King AC, Young DR. Sources of social support as predictors of exercise adherence in women and men ages 50 to 65 years. Women's Health. 1994;1:161–175.
    1. Resnicow K, Gobat N, Naar S. Intensifying and igniting change talk in motivational interviewing: a theoretical and practical framework. Eur Health Psychol. 2015;17:102–110.
    1. Critcher CR, Dunning D. Self-affirmations provide a broader perspective on self-threat. Personal Soc Psychol Bull. 2015;41:3–18. doi: 10.1177/0146167214554956.
    1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311:806–814. doi: 10.1001/jama.2014.732.
    1. Marshall SJ, Jones DA, Ainsworth BE, Reis JP, Levy SS, Macera CA. Race/ethnicity, social class, and leisure-time physical inactivity. Med Sci Sports Exerc. n39:44–51 doi: 10.1249/00005768-200505001-01689.
    1. Ward BW, Clarke TC, Nugent CN, Schiller JS. Early release of selected estimates based on data from the 2015 National Health Interview Survey. National Center for Health Statistics. . Accessed 15 Nov 2016.

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