Examining the steps-per-day trajectories of cardiac rehabilitation patients: A latent class growth analysis perspective

Journal of Cardiopulmonary Rehabilitation and Prevention

Volumn 34, Issue 2, 2014, Pages 106-113

  Blanchard, Chris M ^a   Giacomantonio, Nicholas ^a   Lyons, Renee ^b   Cyr, Cleo ^c   Rhodes, Ryan E ^d   Reid, Robert D ^e   Spence, J C ^f   McGannon, Kerry R ^g  

^a DALHOUSIE UNIVERSITY   (Canada)

^b Bridgepoint Health   (Canada)

^c New Brunswick Heart Centre   (Canada)

^d UNIVERSITY OF VICTORIA   (Canada)

^e UNIVERSITY OF OTTAWA HEART INSTITUTE   (Canada)

^f UNIVERSITY OF ALBERTA   (Canada)

^g LAURENTIAN UNIVERSITY   (Canada)

Author keywords

cardiac rehabilitation; latent class growth analysis; steps per day

Indexed keywords

ADULT; AGED; ANALYSIS OF VARIANCE; ARTICLE; CARDIAC PATIENT; COMORBIDITY; CONTROLLED STUDY; EXERCISE; FEMALE; GROWTH RATE; HEART REHABILITATION; HIGH RISK PATIENT; HUMAN; LATENT CLASS GROWTH ANALYSIS; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; OBESITY; PATIENT COMPLIANCE; PATIENT IDENTIFICATION; PEDOMETER; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUESTIONNAIRE; REHABILITATION PATIENT; SELF REPORT; STEPS PER DAY TRAJECTORY;

ACCELEROMETRY; AGED; COMORBIDITY; EXERCISE TOLERANCE; FEMALE; FOLLOW-UP STUDIES; HEALTH BEHAVIOR; HEART DISEASES; HUMANS; LOGISTIC MODELS; MALE; OBESITY; PATIENT COMPLIANCE; QUESTIONNAIRES; WALKING;

EID: 84896739691     PISSN: 19327501     EISSN: 1932751X     Source Type: Journal    
DOI: 10.1097/HCR.0000000000000031     Document Type: Article

References (21)

1. Smith S, Allen J, Blair S, et al. AHA/ACC guidelines for secondary prevention for patients with coronary and other atherosclerotic vascular disease: 2006 update. Circ Res. 2006;113:2363-2372
2. Ayabe M, Brubaker P, Dobrosielski D, et al. The physical activity patterns of cardiac rehabilitation participants. J Cardiopulm Rehabil. 2004;24:80-86
3. Blanchard C, Reid R, Morrin L, et al. Demographic and clinical determinants of moderate to vigorous physical activity during home-based cardiac rehabilitation: The home-based determinants of exercise (HOME) study. J Cardiopulm Rehabil Prev. 2010;30:240-245
4. Bock BC, Albrecht AE, Traficante RM, et al. Predictors of exercise adherence following participation in a cardiac rehabilitation program. Int J Behav Med. 1997;4:60-75
5. Moore SM, Ruland CM, Pashkow FJ, Blackburn GG. Women's patterns of exercise following cardiac rehabilitation. Nurs Res. 1998;47:318-324
6. Le Grande M, Elliott P, Worcester M, Murphy B, Goble A. An evaluation of self-report physical activity instruments used in studies involving cardiac patients. J Cardiopulm Rehabil Prev. 2008;28:358-369
7. Vanhees L, Lefevre J, Philippaerts R, et al. How to assess physical activity? How to assess physical fitness? Eur J Cardiovasc Prev Rehabil. 2005;12:102-114
8. Tudor-Locke C, Washington T, Hart T. Expected values for steps/day in special populations. Prev Med. 2009;49:3-11
9. Ayabe M, Brubaker P, Dobrosielski D, et al. Target step count for the secondary prevention of cardiovascular disease. Circulation J. 2008;72:299-303
10. Jones N, Schneider P, Kaminsky L, Riggin K, Taylor A. An assessment of the total amount of physical activity of patients participating in a phase III cardiac rehabilitation program. J Cardiopulm Rehabil Prev. 2007;27:81-85
11. Savage P, Ades P. Pedometer step counts predict cardiac risk factors at entry to cardiac rehabilitation. J Cardiopulm Rehabil Prev. 2008;28:370-377
12. Izawa K, Yamada S, Oka K, et al. Long-Term exercise maintenance, physical activity, and health-related quality of life after cardiac rehabilitation. Am J Phys Med Rehabil. 2004;83:884-892
13. Nagin D, Tremblay R. Analyzing developmental trajectories of distinct but related behaviors: A group-based method. Psychol Methods. 2001;6:18-34
14. Blanchard C, McSweeney J, Giacomantonio N, et al. Distinct trajectories of light and moderate to vigorous physical activity in heart disease patients: Results from the Activity Correlates afTer cardIac hospitalizatiON (ACTION) trial. J Sci Med Sport. 2013;S1440-2440 (13) 00050-00059
15. Godin G, Shepard RJ. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985;10:141-146
16. Jacobs DR Jr, Ainsworth BE, Hartman TJ, Leon AS. A simultaneous evaluation of 10 commonly used physical activity questionnaires. Med Sci Sports Exerc. 1993;25:81-91
17. Schneider P, Crouter S, Lukajic O, Bassett D. Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. Med Sci Sports Exerc. 2003;35:1779-1784
18. Reid R, Morrin L, Beaton L, et al. Randomized trial of an Internet-based computer-Tailored expert system for physical activity in patients with heart disease. Eur J Prev Cardiol. 2012;19:1357-1364
19. Jones B, Nagin D, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Soc Methods Res. 2001;29:374-393
20. Nylund K, Asparouhov T, Muthen B. Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Struct Eq Model. 2007;14:535-569
21. Blanchard C. Heart disease and physical activity: Looking beyond individual characteristics. Exerc Sport Sci Rev. 2012;40:30-36