Data from a randomized clinical trial were used to examine the extent to which a health promotion intervention affected changes in psychosocial constructs and if so whether these in turn explained changes in physical activity (PA). PA and psychosocial data on 878 adolescents (ages 11—15) recruited through primary care providers (age M = 12.7 years, SD = 1.3; 58% white non-Hispanic) were measured at baseline, six and 12 months. Parallel process latent growth curve analyses found positive relationships between the growth trajectories of behavior change strategies, self-efficacy, family support, peer support and the growth trajectory of PA. However, mediation analyses did not reveal statistically significant intervention-mediated effects.
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175-1184.
2.
Baranowski, T., Anderson, C., & Carmack, C. (1998). Mediating variable framework in physical activity interventions: How are we doing? How might we do better?American Journal of Preventive Medicine, 15(4), 266-297.
3.
Bentler, P.M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
4.
Bentler, P.M. (2007). On tests and indices for evaluating structural models. Personality and Individual Differences, 45(5), 825-829.
5.
Berry, T., Naylor, P.J., & Wharf-Higgins, J. (2005). Stages of change in adolescents: An examination of self-efficacy, decisional balance, and reasons for relapse . Journal of Adolescent Health, 37(6), 452-459.
6.
Biddle, S.J.H., Whitehead, S.H., O'Donovan, T.M., & Nevill, M.E. (2005). Correlates of participation in physical activity for adolescent girls: A systematic review of recent literature. Journal of Physical Activity and Health, 2(4), 423-434.
7.
Caspersen, C.J., Pereira, M.A., & Curran, K.M. (2000). Changes in physical activity patterns in the United States, by sex and cross-sectional age. Medicine Science and Sports Exercise, 32(9), 1601-1609.
8.
Chen, H.-T. (1990). Theory-driven evaluations. Los Angeles, CA: SAGE.
9.
Cheong, J., MacKinnon, D.P., & Khoo, S.T. (2003). Investigation of mediational processes using parallel process latent growth curve modeling. Structural Equation Modeling, 10(2), 238-262.
10.
Collins, L.M., Graham, J.W., & Flaherty, B.P. (1998). An alternative framework for defining mediation. Multivariate Behavioral Research, 33(2), 295-312.
11.
Dishman, R.K., Motl, R.W., Sallis, J.F., Dunn, A.L., Birnbaum, A.S., Welk, G.J. et al. (2005). Self-management strategies mediate self-efficacy and physical activity. American Journal of Preventive Medicine , 29(1), 10-18.
12.
Dishman, R.K., Motl, R.W., Saunders, R., Felton, G., Ward, D.S., Dowda, M., & Pate, R.R. (2004). Self-efficacy partially mediates the effect of a school-based physical-activity intervention among adolescent girls. Preventive Medicine, 38(5), 628-636.
13.
Dowda, M., Dishman, R.K., Pfeiffer, K.A., & Pate, R. (2007). Family support for physical activity in girls from 8th to 12th grade in South Carolina. Preventive Medicine , 44(2), 153-159.
14.
Duncan, S.C., Duncan, T.E., & Strycker, L.A. (2005). Sources and types of social support in youth physical activity. Health Psychology, 24(1), 3-10.
15.
Duncan, S.C., Duncan, T.E., Strycker, L.A., & Chaumeton, N.R. (2007). A cohort-sequential latent growth model of physical activity from ages 12 to 17 years. Annals of Behavioral Medicine, 33(1), 80-89.
16.
Duncan, S.C., Duncan, T.E., Strycker, L.A., Li, F., & Alpert, A. (1999). An introduction to latent variable growth curve modeling: Concepts, issues, and applications. Mahwah, NJ : Erlbaum.
17.
Dunton, G.F., Schneider, M., & Cooper, D.M. (2007). An investigation of psychosocial factors related to changes in physical activity and fitness among female adolescents. Psychology and Health, 22(2), 929-944.
18.
Dzewaltowski, D.A., Estabrooks, P.A., Welk, G., Hill, J., Milliken, G., Karteroliotis, K., & Johnston, J.A. (2008). Healthy youth places: A randomized controlled trial to determine the effectiveness of facilitating adult and youth leaders to promote physical activity and fruit and vegetable consumption in middle schools. Health Education and Behavior . Online doi: 10.1177/1090198108314619.
19.
Gross, L.D., Sallis, J.F., Buono, M.J., Roby, J.J., & Nelson, J.A. (1990). Reliability of interviewers using the seven-day physical activity recall. Research Quarterly and Exercise Sport, 61(4), 321-325.
20.
Grunbaum, J.A., Kann, L., Kinchen, S.A., Williams, B., Ross, J.G., Lowry, R., & Kolbe, L. (2002). Youth risk behavior surveillance-United States, 2001. Morbidity and Mortality Weekly Report, 51(SS04), 1-64.
21.
Haerens, L., Cerin, E., Maes, L., Cardon, G., Deforche, B., & de Bourdeaudhuij, I. (2008). Explaining the effect of a 1-year intervention promoting physical activity in middle schools: A mediation analysis. Public Health Nutrition, 11(5), 501-512.
22.
Hansen, W.B. (1992). School-based substance abuse prevention: A review of state of the art in curriculum, 1980-1990. Health Education Research: Theory & Practice, 7(3), 403-430.
23.
Hillsdon, M., Foster, C., & Thorogood, M. (2005). Interventions for promoting physical activity . Cochrane Database Systematic Review. CD003180.
24.
Hu, L.-T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
25.
Kraemer, H.C., Wilson, G.T., Fairburn, C.G., & Agras, W.S. (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry , 59(10), 877-883.
26.
Lewis, B.A., Marcus, B.H., Pate, R.R., & Dunn, A.L. (2002). Psychosocial mediators of physical activity behavior among adults and children. American Journal of Preventive Medicine, 23(2), 26-35.
27.
Lubans, D.R., Foster, C., & Biddle, S.J.H. (2008). A review of mediators of behavior in interventions to promote physical activity among children and adolescents. Preventive Medicine, 47(5), 463-70.
28.
MacKinnon, D.P. (1994). Analysis of mediating variables in prevention and intervention research. In A. Cazares & L. A. Beatty (Eds.), Scientific methods in prevention research. NIDA Research Monograph 139 (pp. 127-153). DHHS Publication No. 94-3636. Washington, DC: US Government Printing Office.
29.
MacKinnon, D.P., Fairchild, A.J., & Fritz, M.S. (2007). Mediation analysis. Annual Review of Psychology, 58(1), 593-614.
30.
MacKinnon, D.P., Lockwood, C.M., Hoffman, J.M., West, S.G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods , 7(1), 83-104.
31.
Marcus, B.H., & Owen, N. (1992). Motivational readiness, self-efficacy and decision-making for exercise. Journal of Applied Social Psychology, 22(1), 3-16.
32.
Marcus, B.H., Rakowski, W., & Rossi, J.S. (1992). Assessing motivational readiness and decision making for exercise. Health Psychology, 11(4), 257-261.
33.
Marcus, B.H., Rossi, J.S., Selby, V.C., Niaura, R.S., & Abrams, D.B. (1992). The stages and processes of exercise adoption and maintenance in a worksite sample. Health Psychology, 11(6), 386-395.
34.
Marcus, B.H., Williams, D.M., Dubbert, P.M., Sallis, J.F., King, A.C., Yancey, A.K. et al. (2006). Physical activity intervention studies: What we know and what we need to know. A scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism, 114(24), 2739-2752.
35.
Montoye, H.J., Kemper, H.C.G., Saris, W.H.M., & Washburn, R.A. (1996). Measuring physical activity and energy expenditure. Champaign, IL: Human Kinetics.
36.
Motl, R.W., Dishman, R.K., Ward, D.S., Saunders, R.P., Dowda, M., Felton, G., & Pate, R.R. (2005). Comparison of barriers self-efficacy and perceived behavioral control for explaining physical activity across 1 year among adolescent girls. Health Psychology, 24(1), 106-111.
Norman, G.J., Adams, M.A., Calfas, K.J., Covin, J., Sallis, J.F., Rossi, J.S. et al. (2007). A randomized trial of a multicomponent intervention for adolescent sun protection behaviors. Archives of Pediatric and Adolescent Medicine, 161(2), 146-152.
39.
Norman, G.J., Sallis, J.F., & Gaskins, R. (2005). Comparability and reliability of paper- and computer-based measures of psychosocial constructs for adolescent physical activity and sedentary behaviors. Research Quarterly for Exercise and Sport, 76(3), 315-323.
40.
Patrick, K., Calfas, K.J., Norman, G.J., Zabinski, M.F., Sallis, J.F., Rupp, J. et al. (2006). A randomized controlled trial of a primary care and home-based intervention for physical activity and nutrition behaviors: PACE+ for adolescents. Archives of Pediatric and Adolescent Medicine, 160(2), 128-136.
41.
Pinto, B.M., Lynn, H., Marcus, B.H., DePue, J., & Goldstein, M.G. (2001). Physician-based activity counseling: Intervention effects on mediators of motivational readiness for physical activity. Annals of Behavioral Medicine, 23(1), 2-10.
42.
Prochaska, J.O., & Velicer, W.F. (1997). The Transtheoretical Model of Health Behavior Change. American Journal of Health Promotion, 12(1), 38-48.
43.
Rovniak, L.S., Anderson, E.S., Winett, R.A., & Stephens, R.S. (2002). Social-cognitive determinants of physical activity in young adults: A prospective structural equation analysis . Annals of Behavioral Medicine, 24(2), 149-156.
44.
Saelens, B.E., Gehrman, C.A., Sallis, J.F., Calfas, K.J., Sarkin, J.A., & Caparosa, S. (2000). Use of self-management strategies in a 2-year cognitive-behavioral intervention to promote physical activity. Behavior Therapy, 31(2), 365-379.
45.
Sallis, J.F., Buono, M.J., Roby, J.J., Micale, F.G., & Nelson, J.A. (1993). A 7-day recall and other physical activity self-reports in children and adolescents. Medicine Science and Sports Exercise , 25(1), 99-108.
46.
Sallis, J.F., Calfas, K.J., Alcaraz, J.E., Gehrman, C., & Johnson, M.F. (1999). Potential mediators of change in a physical activity promotion course for university students: Project GRAD. Annals of Behavioral Medicine, 21(2), 149-158.
47.
Sallis, J.F., Pinski, R.B., Grossman, R.M., Patterson, T.L., & Nader, P.R. (1988). The development of self-efficacy scales for health-related diet and exercise behaviors. Health Education Research, 3(3), 283-292.
48.
Sallis, J.F., Prochaska, J.J., & Taylor, W.C. (2001). A review of correlates of physical activity of children and adolescents. Medicine Science and Sports Exercise , 32(5), 963-975.
49.
Sallis, J.F., Taylor, W.C., Dowda, M., Freedson, P.S., & Pate, R.R. (2002). Correlates of vigorous physical activity for children in grades 1 through 12: Comparing parent-reported and objectively measured physical activity. Pediatric Exercise Science, 14(1), 30-44.
50.
Singer, J.D., & Willett, J.B. (2003). Applied longitudinal data analysis. New York: Oxford University Press.
51.
Strong, W.B., Malina, R.M., Blimkie, C.J., Daniels, S.R., Dishman, R.K., Gutin, B. et al. (2005). Evidence based physical activity for school-age youth. Journal of Pediatric, 146(6), 732-737.
52.
Taymoori, P., & Lubans, D.R. (2008). Mediators of behavior change in two tailored physical activity interventions for adolescent girls. Psychology of Sport and Exercise, 9(5), 605-619.
53.
Velicer, W.F., DiClemente, C.C., Prochaska, J.O., & Brandenburg, N. (1985). A decisional balance measure for assessing and predicting smoking status. Journal of Personality and Social Psychology, 48(5), 1279-1289.
54.
Walls, T.A., Jung, H., & Schwartz, J.E. (2006). Multilevel models for intensive longitudinal data. In T. A. Walls & J. L. Schafer (Eds.), Models for intensive longitudinal data (pp. 3-37). Oxford, UK: Oxford University Press.
55.
West, S.G., & Aiken, L.S. (1997). Toward understanding individual effects in multicomponent prevention programs: Design and analysis strategies. In K. J. Bryant, M. Windel , & S.G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 167-209). Washington, DC: American Psychological Association.
56.
Wharf-Higgins, J., Gaul, C., Gibbons, S., & van Gyn, G. (2003). Factors influencing physical activity levels amongCanadian youth. Canadian Journal of Public Health, 94(1), 45-51.
