The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Social cognitive determinants of physical activity in young adults: A prospective structural equation analysis
Abstract
This study used a prospective design to test a model of the relation between social cognitive variables and physical activity in a sample of 277 university students. Social support, self-efficacy, outcome expectations, and self-regulation were measured at baseline and used to predict physical activity 8 weeks later. Results of structural equation modeling indicated a good fit of the social cognitive model to the data. Within the model, self-efficacy had the greatest total effect on physical activity, mediated largely by self-regulation, which directly predicted physical activity. Social support indirectly predicted physical activity through its effect on self-efficacy. Outcome expectations had a small total effect on physical activity, which did not reach significance. The social cognitive model explained 55% of the variance observed in physical activity.
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Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843
A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604
A Beginner's Guide to Structural Equation Modeling
Schumacker, R. E., & Lomax, R. G. (2004) · doi:10.4324/9781410610904 · Cited by 6,235
A review of correlates of physical activity of children and adolescents
SALLIS, J. F., PROCHASKA, J. J., & TAYLOR, W. C. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200005000-00014 · Cited by 4,421
Compendium of Physical Activities: Classification of energy costs of human physical activities
AINSWORTH, B. E., HASKELL, W. L., LEON, A. S., JACOBS, D. R., MONTOYE, H. J., SALLIS, J. F., & PAFFENBARGER, R. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00011 · Cited by 4,102
Health promotion from the perspective of Social Cognitive Theory
Bandura, A. (1998) · Psychology & Health · doi:10.1080/08870449808407422 · Cited by 3,087
PHYSICAL ACTIVITY AS AN INDEX OF HEART ATTACK RISK IN COLLEGE ALUMNI1
PAFFENBARGER, R. S., WING, A. L., & HYDE, R. T. (1978) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112608 · Cited by 1,980
The development of scales to measure social support for diet and exercise behaviors
Sallis, J. F., Grossman, R. M., Pinski, R. B., Patterson, T. L., & Nader, P. R. (1987) · Preventive Medicine · doi:10.1016/0091-7435(87)90022-3 · Cited by 1,534
Physical activity enjoyment scale: Two validation studies
Kendzierski, D., & DeCarlo, K. J. (1991) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.13.1.50 · Cited by 1,329
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Williams, S. L., & French, D. P. (2011) · Health Education Research · doi:10.1093/her/cyr005 · Cited by 690
Ashford, S., Edmunds, J., & French, D. P. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x461752 · Cited by 673
Potential environmental determinants of physical activity in adults: a systematic review
Wendel‐Vos, W., Droomers, M., Kremers, S., Brug, J., & Van Lenthe, F. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2007.00370.x · Cited by 641
A Review and Meta-Analysis of Affective Judgments and Physical Activity in Adult Populations
Rhodes, R. E., Fiala, B., & Conner, M. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9147-y · Cited by 429
Haughton McNeill, L., Wyrwich, K. W., Brownson, R. C., Clark, E. M., & Kreuter, M. W. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3101_7 · Cited by 259
Hayes, S. C., Ciarrochi, J., Hofmann, S. G., Chin, F., & Sahdra, B. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104155 · Cited by 234
Scarapicchia, T. M. F., Amireault, S., Faulkner, G., & Sabiston, C. M. (2017) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2016.1183222 · Cited by 235
Internet intervention for increasing physical activity in persons with multiple sclerosis
Motl, R. W., Dlugonski, D., Wójcicki, T. R., McAuley, E., & Mohr, D. C. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458510383148 · Cited by 186
Enhancing Theoretical Fidelity: An E-mail—Based Walking Program Demonstration
Rovniak, L. S., Hovell, M. F., Wojcik, J. R., Winett, R. A., & Martinez-Donate, A. P. (2005) · American Journal of Health Promotion · doi:10.4278/0890-1171-20.2.85 · Cited by 90
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Rahm, T., & Heise, E. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02703 · Cited by 88
Online social games: The effect of social comparison elements on continuance behaviour
Esteves, J., Valogianni, K., & Greenhill, A. (2021) · Information & Management · doi:10.1016/j.im.2021.103452 · Cited by 73
Tulloch, H., Reida, R., D'Angeloa, M. S., Plotnikoff, R. C., Morrina, L., Beatona, L., Papadakisa, S., & Pipe, A. (2009) · Psychology & Health · doi:10.1080/08870440701805390 · Cited by 67
Tierney, S., Mamas, M., Woods, S., Rutter, M. K., Gibson, M., Neyses, L., & Deaton, C. (2012) · Heart Failure Reviews · doi:10.1007/s10741-011-9252-4 · Cited by 65
Factors influencing physical activity in older adults
Park, C.-H., Elavsky, S., & Koo, K.-M. (2014) · Journal of Exercise Rehabilitation · doi:10.12965/jer.140089 · Cited by 64
Psychosocial and Environmental Correlates of Physical Activity Among Korean Older Adults
Kim, Y., & Kosma, M. (2013) · Research on Aging · doi:10.1177/0164027512462412 · Cited by 45
Ehlers, D. K., Huberty, J. L., & de Vreede, G.-J. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0360 · Cited by 30
Riemann-Lorenz, K., Motl, R. W., Casey, B., Coote, S., Daubmann, A., & Heesen, C. (2021) · Disability and Rehabilitation · doi:10.1080/09638288.2020.1731612 · Cited by 30
Young, M. D., Collins, C. E., Callister, R., Plotnikoff, R. C., Doran, C. M., & Morgan, P. J. (2014) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.11.004 · Cited by 19
Silveira, S. L., Riemann-Lorenz, K., Heesen, C., & Motl, R. W. (2021) · International Journal of Behavioral Medicine · doi:10.1007/s12529-020-09946-w · Cited by 21
Psychosocial modification of general self-efficacy in older adults: a restricted review
FitzGerald, J., Wells, Y. D., & Ellis, J. M. (2022) · Australasian Journal on Ageing · doi:10.1111/ajag.13052 · Cited by 20
Dworschak, C., Heim, E., Tröster, A., Grunder, C., & Maercker, A. (2024) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100692 · Cited by 16
Arovah, N. I., Kushartanti, B. M. W., Washington, T. L., & Heesch, K. C. (2018) · SAGE Open Medicine · doi:10.1177/2050312118814391 · Cited by 14
Metadata
- Authors
- Rovniak, L. S., Anderson, E. S., Winett, R. A., & Stephens, R. S.
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-05
- Volume
- 24
- Issue
- 2
- Pages
- 149-156
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- OpenAlex
- W1965117448
- Cited by
- 538
- References
- 12
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
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