IMPACT OF CARDIAC REHABILITATION ON SELF-EFFICACY FOR EXERCISE AND SUBSEQUENT PHYSICAL ACTIVITY IN ELDERLY CARDIAC PATIENTS

Author(s):  
M. Johnston ◽  
W. Rodgers ◽  
R. Lightfoot ◽  
M. Senaratne ◽  
R. G. Haennel
2007 ◽  
Vol 52 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Chris M. Blanchard ◽  
Robert D. Reid ◽  
Louise I. Morrin ◽  
Louise J. Beaton ◽  
Andrew Pipe ◽  
...  

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Leonard Kaminsky ◽  
Cemal Ozemek ◽  
Katrina Riggin ◽  
Wonwoo Byun ◽  
Scott Strath

Introduction: Although cardiac patients obtain favorable cardiovascular outcomes and reduced risk of mortality when participating in cardiac rehabilitation (CR), it is well established that most do not typically achieve recommended amounts of daily physical activity (PA) solely through participation in CR. Therefore, the purpose of this study was to examine the relative effectiveness of three different individually tailored interventions designed to increase PA in cardiac patients attending CR. Hypothesis: We assessed the hypothesis that cardiac patients attending long-term CR who receive pedometer feedback (PF) or motivational messaging (MM) will achieve higher levels of PA than patients who receive usual care (UC) recommendations. Methods: A total of 99 (77 men and 22 women, 61.5±10.6 years, BMI 30.6 ± 5.1 kg/m2) patients entering a long-term CR program completed a 12-week PA intervention. Patients were randomized to: UC (time-based recommendation), PF, MM, or PF with individualized MM (PF+MM). Both PF groups were given a goal of increasing step counts/day by 10% of the individual’s baseline value each week. If the goal for the week was not reached, the same goal was used for the next week. PA was assessed for 7 days with Kenz Lifecorder PLUS monitors (Suzukan, Co, LTD, Nagoya, Japan) prior to beginning CR and on the 12 th week of the intervention. Criteria for acceptable PA data were daily wear time > 10 hours on a minimum of 4 days (including at least 1 weekend day) with daily PA > 1000 steps. Results: A two-way ANOVA for change in PA from baseline to 12 th week of the intervention for the 4 groups revealed a significant time and group interaction. Post-hoc testing showed significant increases for both PF and PF+MM, however, no significant change for UC or MM. Conclusion: The findings from this study demonstrate that using PF feedback is superior to the usual time-based recommendations patients are given in CR. CR programs can assist patients in increasing their daily PA by encouraging pedometer use with individualized step goals.


2020 ◽  
Author(s):  
Linda G. Park ◽  
Abdelaziz Elnaggar ◽  
Sei J. Lee ◽  
Stephanie Merek ◽  
Thomas J. Hoffmann ◽  
...  

BACKGROUND Cardiac rehabilitation (CR) is an exercise-based program prescribed after cardiac events that is associated with improved physical, mental, and social functioning; however, many patients return to a sedentary lifestyle leading to deteriorating exercise capacity after discharge from CR. Physical activity (PA) is critical to avoid recurrence of cardiac events and mortality as well as maintaining functional capacity. Leveraging digital health strategies to increase adherence to PA is a promising approach. We sought to determine whether mobile health strategies (MOVN mobile app for self-monitoring, supportive push-through messages, and wearable activity tracker) would improve PA and exercise capacity over 2 months. OBJECTIVE The objectives of this study were to: 1) evaluate group differences in PA and exercise capacity; and 2) determine group differences in depression and self-efficacy to maintain exercise after CR. METHODS During the final week of outpatient CR, patients were randomized 1:1 to the intervention group or usual care. The intervention group downloaded the MOVN mobile app, received supportive push-through messages on motivation and secondary prevention of cardiovascular disease (CVD) 3 times per week, and wore a Fitbit Charge 2 to track steps. Participants in the usual care group wore a pedometer and recorded their daily steps in a diary. Data from the 6MWT and self-reported questionnaires were collected at baseline and 2 months. RESULTS We recruited 60 patients from 2 CR sites at a community hospital in Northern California. The mean age was 66.8 ± 8.6 and 22% were female; retention rate of 85%. Our results from 51 patients who completed follow up showed the intervention group had a statistically significant higher mean daily steps count compared to the control (8,860 vs. 6,633) (P = .021). There was no difference between groups for the 6MWT, depression, or self-efficacy to maintain exercise. CONCLUSIONS Our technology-based intervention using a mobile app, push-through messages, and Fitbit proposes a low-cost, pragmatic, and contemporary approach to promote physical activity and sustain exercise capacity after completing CR. This intervention addresses a major public health initiative to promote PA in patients with CVD with the potential to improve critical PA, clinical, and psychosocial outcomes. CLINICALTRIAL “Trial Registration: ClinicalTrials.gov NCT03446313”


2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Shane N. Sweet ◽  
Michelle S. Fortier ◽  
Shaelyn M. Strachan ◽  
Chris M. Blanchard ◽  
Pierre Boulay

Self-determination theory and self-efficacy theory are prominent theories in the physical activity literature, and studies have begun integrating their concepts. Sweet, Fortier, Strachan and Blanchard (2012) have integrated these two theories in a cross-sectional study. Therefore, this study sought to test a longitudinal integrated model to predict physical activity at the end of a 4-month cardiac rehabilitation program based on theory, research and Sweet <em>et al</em>.’s cross-sectional model. Participants from two cardiac rehabilitation programs (N=109) answered validated self-report questionnaires at baseline, two and four months. Data were analyzed using Amos to assess the path analysis and model fit. Prior to integration, perceived competence and self-efficacy were combined, and labeled as confidence. After controlling for 2-month physical activity and cardiac rehabilitation site, no motivational variables significantly predicted residual change in 4-month physical activity. Although confidence at two months did not predict residual change in 4-month physical activity, it had a strong positive relationship with 2-month physical activity (β=0.30, P&lt;0.001). The overall model retained good fit indices. In conclusion, results diverged from theoretical predictions of physical activity, but self-determination and self-efficacy theory were still partially supported. Because the model had good fit, this study demonstrated that theoretical integration is feasible.


Author(s):  
Ronie Walters ◽  
Stephen J. Leslie ◽  
Jane Sixsmith ◽  
Trish Gorely

Following a diagnosis of cardiovascular disease there is a need for patients to self-manage. Health literacy has been shown to be lower in patients with cardiovascular disease, yet research into health literacy in this population is limited. This study used the Health Literacy Questionnaire (HLQ) to examine the health literacy and associated health, health behaviours and psychological profiles of cardiac rehabilitation patients from a remote and rural regional programme in the Scottish Highlands. Consecutive patients referred to the service in a calendar year were sent a cross-sectional questionnaire by post. Hierarchical cluster analysis grouped respondents based on their health literacy profile, and nonparametric methods were used to analyse differences between clusters on the other measures. A total of 282 participants responded (45.7%). Respondents were older (median: 71 years) and more likely to be from more affluent areas. Five health literacy clusters emerged with different profiles of health, physical activity, self-efficacy, motivation and illness perceptions. There was no difference in relation to cardiac rehabilitation attendance by health literacy cluster, but those with lower health literacy were less likely to be aware of the referral. Patterns of health literacy are associated with health, health behaviours and some psychological constructs. Knowledge of distinct cluster characteristics may help services better target interventions.


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