Background
Regular physical activity (PA) is recommended for coronary heart disease (CHD) patients for its role in the prevention and treatment of CHD risk factors such as hypertension and overweight [
1‐
3] and positive benefits for quality of life [
4,
5]. However, PA levels are consistently low among CHD patients [
3,
6‐
9]. Inaccessibility or a lack of availability of PA programmes is an important factor in adherence to PA in CHD patients [
10‐
12]. In Jordan, which is a developing country, challenges within the healthcare systems mean that the availability of structured PA rehabilitation programmes is poor [
13]. Many Jordanian CHD patients do not adhere to general PA recommendations [
13,
14] and report factors influencing engagement in PA which include low self-efficacy (or confidence) for PA, perceived barriers to PA and low motivation to be active [
14,
15].
Behavioural change interventions have shown efficacy in increasing PA levels in CHD patients and improving psychosocial health [
16‐
18], and often include strategies such as goal-setting, self-monitoring and feedback. Goal-setting has been found to be more effective when goals are short-term [
19‐
21], specific [
22‐
24] and set by patients or in collaboration with healthcare professionals (rather than by them) [
25]. Self-monitoring using diaries or records has been found to be useful in raising awareness about existing behaviour [
26] and increasing PA [
4]; regular follow-ups and contacts by healthcare professionals are thought to enhance patients’ self-monitoring of goal achievements [
19‐
21].
Studies have demonstrated the value of delivering behavioural change strategies through face-to-face consultation, and telephone follow-up [
4,
27]. Mobile phone text messages are increasingly used to support healthcare, and have shown benefits for increasing PA in other settings [
28]; text message reminders may therefore provide a useful mechanism for low-cost provision of regular patient contact.
In practice, behavioural change strategies are not implemented widely in either supervised or non-supervised PA interventions with CHD patients [
4]. Whilst previous behavioural change interventions have shown some efficacy in increasing PA, research studies have been criticised for failing to provide sufficient detail about the behavioural change strategies employed, and the interventions have been criticised for lacking focus on addressing individual patients’ needs and a lack of provision of regular feedback to patients on their progress [
18,
27,
29‐
32].
This study aimed to examine the efficacy of a behavioural change intervention to increase PA in Jordanian patients with CHD, through building self-efficacy (or confidence) for exercise, addressing barriers to exercise and motivating health behaviour change through tailored goal setting, feedback, monitoring and reminders. The efficacy of the intervention in improving secondary outcomes was assessed, including: blood pressure (BP), body mass index (BMI), exercises self-efficacy and health-related quality of life (HRQL). This paper reports the components of the intervention, the results of the primary and secondary outcomes, the discussion of the findings and the implication of the intervention in the practice and research.
Results
One hundred and fifty six participants were randomly allocated to the control (
n = 85) and intervention groups (
n = 71). Sociodemographic and health characteristics were not significantly different between the control and intervention groups at baseline (see Table
1). Study participants were comparable with the population from which they were drawn in terms of age, gender and medical diagnosis. All intervention participants (
n = 71; 100 %) completed all six months of the intervention; low rates of loss to follow-up were observed (see Fig.
1).
Table 1
Sociodemographic and health characteristics
Age | 58 ± 8.7 | 57.7 ± 10.5 | 0.49 |
Gender |
Male | 43 (50.6) | 41 (57.7) | 0.42 |
Female | 42 (49.4) | 30 (42.3) |
Monthly income |
< 99 Jordanian dinars | 6 (7.1) | 6 (8.5) | 0.60 |
100–299 Jordanian dinars | 28 (32.9) | 26 (36.6) |
300–499 Jordanian dinars | 30 (35.3) | 18 (25.4) |
> 500 Jordanian dinars | 21 (24.7) | 21 (29.6) |
Education level |
Primary | 28 (32.9) | 29 (40.8) | 0.79 |
Secondary | 21 (24.7) | 14 (19.7) |
University | 33 (38.8) | 26 (36.6) |
None | 3 (3.5) | 2 (2.8) |
Marital status |
Single | 5 (5.9) | 5 (7) | 0.73 |
Married | 70 (82.4) | 61 (85.9) |
Divorced | 1 (1.2) | 1 (1.4) |
Widowed | 9 (10.6) | 4 (5.0) |
Living status |
Alone | 6 (7.1) | 4 (5.6) | 0.78 |
With spouse | 4 (4.7) | 5 (7) |
With spouse & children | 75 (88.2) | 62 (87.3) |
Job status |
Working | 21 (21.7) | 20 (28.2) | 0.81 |
Not working | 45 (52.9) | 34 (47.9) |
Retired | 19 (22.4) | 17 (23.9) |
Living area |
City | 75 (88.2) | 60 (84.5) | 0.63 |
Town | 4 (4.7) | 6 (8.5) |
Village | 6 (7.1) | 5 (7) |
Current CHD |
Chest pain | 16 (18.8) | 8 (11.3) | 0.24 |
Catheterization | 59 (69.4) | 54 (76.1) |
Cardiac surgery | 10 (11.8) | 7 (9.9) |
Myocardial infarction | 0.0 (0.0) | 2 (2.8) |
Duration of diagnosis | 61.5 ± 60.8 | 48.3 ± 45.3 | 0.13 |
Chronic disease |
Diabetes | 6 (7.1) | 8 (11.3) | 0.63 |
Hypertension | 33 (38.8) | 22 (31.0) |
Diabetes & hypertension | 29 (34.1) | 24 (33.8) |
None | 17 (20) | 17 (23.9) |
Sixty Five (92 %) of intervention participants completed at least one goal in the PA diary, and 66 (93 %) completed diaries for all 12 weeks of the intervention period. Adherence to completion of physical activity diaries dropped 3 % across the intervention period. Diary content and accomplishment of goals was not formally measured as an outcome, but was discussed within telephone consultations with the nurse as part of the process of tailored feedback and goal-setting.
Physical activity
Participants were classified as physically active according to IPAQ when they met the PA guidelines of performing 30 min of moderate intensity PA five days a week (150 min per week), or through a combination of walking and moderate-intensity activities they achieved a minimum of at least 600 METs - minutes/week. There were no significant differences in PA at baseline, between groups. One quarter of the sample met PA recommendations at baseline (intervention:
n = 17, 24 %; control:
n = 22, 26 %). The proportion of participants meeting recommendations for daily PA significantly increased from baseline to six months in the intervention group (baseline:
n = 17, 24 %; six months:
n = 58; 88 %) and decreased in the control group (baseline:
n = 22, 26 %; six months:
n = 19; 24 %). Mean scores for moderate PA and walking levels (including frequency, duration and intensity) significantly increased from baseline to six-months in the intervention group but not in the control group. The difference in mean change of walking and moderate PA levels between the two groups was high. Mean change (SD) and mean difference (95 % confidence intervals) are shown in Table
2.
Table 2
Change in physical activity levels between control and intervention groups
Frequency | 0.45 (1.31) | 0.39 (1.27) | 0.70 (1.67) | 0.93 (1.85) | −.06 (0.40) | 0.23 (0.87) | −0.29* (−0.51 to −0.07) |
Duration | 20.13 (62.50) | 16.46 (58.73) | 21.14 (44.95) | 36.67 (109.76) | −3.67 (22.60) | 15.53 (90.15) | −19.20* (−39.98 to −1.58) |
Intensity walking | 77.97 (243.13) | 63.29 (227.41) | 83.18 (178.02) | 114.23 (212.60) | −14.68 (90.40) | 31.05 (105.98) | −45.73* (−77.97 to −13.50) |
Frequency | 3.03 (2.55) | 3.40 (2.36) | 3.0 (2.37) | 6.15 (1.26) | 0.37 (1.83) | 3.15 (2.75) | −2.78* (−3.57 to −2.00) |
Duration | 84.81 (90.98) | 108.86 (198.02) | 86.97 (99.11) | 237.88 (121.10) | 24.05 (195.93) | 150.90 (124.47) | −126.86* (−179.96 to −73.76) |
Intensity | 275.16 (300.71) | 289.78 (302.74) | 276.52 (301.63) | 771.64 (396.44) | 14.62 (265.06) | 495.12 (413.74) | −480.61* (−597.61 to 363.61) |
Total intensity | 353.14 (415.29) | 353.08 (406.88) | 359.70 (598.27) | 886 (426.52) | −0.06 (271.33) | 526.30 (394.12) | −526.24* (−639.91 to −412.78) |
Secondary outcomes
HRQL increased from baseline to six-months in the intervention group but not in the control group. There was a significant difference between intervention and control groups in total HRQL and all three domains including physical, social and emotional domains. The difference in mean change of HRQL between the two groups was high. Mean change (SD) and mean difference (95 % confidence intervals) are shown in Table
3.
Table 3
Changes in secondary outcomes between control and intervention groups
SBP (mm Hg) | 138.82 (18.20) | 139.39 (14.06) | 134.92 (17.59) | 128.80 (14.27) | .57 (11.47) | −6.12 (10.79) | 6.69* (3.01 to 10.37) |
DBP (mm Hg) | 78.16 (9.88) | 82.96 (6.48) | 75.71 (10.89) | 73.92 (8.68) | 4.80 (7.82) | −1.79 (5) | 6.59* (4.46 to 8.71) |
Body weight (K gm) | 84.50 (31.21) | 84.66 (32.20) | 84 (30.20) | 78.70 (21.31) | 0.16 (11.20) | −5.30 (10.32) | 5.46* (2.24 to 8.52) |
Body mass index (kg/m2) | 30.29 (6.09) | 30.74 (5.50) | 29.38 (5.40) | 27.52 (5.47) | 0.45 (2.41) | −1.85 (2.14) | 2.30* (1.54 to 3.06) |
HRQL (1–7) | 3.85 (1.05) | 3.70 (1) | 4.21 (0.83) | 5.30 (0.70) | −0.15 (0.60) | 1.09 (0.66) | −1.24* (−1.45 to −1.03) |
Emotional domain (1–7) | 4.04 (1.13) | 3.90 (1.11) | 4.51 (0.96) | 5.59 (0.67) | −0.14 (0.59) | 1.08 (0.78) | −1.22* (−1.45 to 0.99) |
Social domain (1–7) | 3.98 (1.19) | 3.80 (1.11) | 4.26 (0.87) | 5.20 (0.78) | −0.18 (0.73) | 0.94 (0.68) | −1.12* (−1.36 to −0.89) |
Physical domain (1–7) | 3.50 (1.18) | 3.38 (1.09) | 3.82 (0.92) | 4.93 (0.86) | −0.12 (0.77) | 1.11 (0.75) | −1.23* (−1.48 to −0.98) |
Exercise self-efficacy (1–10) | 3.35 (1.69) | 3.33 (1.67) | 3.44 (1.62) | 7.21 (0.88) | −0.02 (0.89) | 3.77 (1.56) | −3.79* (−4.23 to −3.37) |
Self-efficacy for exercise
Exercise self-efficacy scale increased from baseline to six-months in the intervention group but not in the control group. The difference in mean change of exercise self-efficacy between the two groups was high. Mean change (SD) and mean difference (95 % confidence intervals) are shown in Table
3.
Physiological outcomes and body composition
Participants’ perceptions of the intervention
Of the intervention participants, n = 66 (92.96 %) completed the post-intervention evaluation survey (three months after the intervention ended). Perceptions of the intervention were positive, with 100 % reporting that they valued all elements of the intervention, including goal-setting, self-monitoring and feedback and delivery methods including face-to-face consultation, telephone call consultations and text messages. Participants reported multiple benefits of the intervention, which included: gaining knowledge about how to make behavioural changes, receiving regular reminders and encouragement which motivated them to be more active, and feeling supported by and building a trusting relationship with the cardiac nurse. A minority of participants (n = 13) raised barriers to being active after the intervention; these included being in poor health, not having enough time and not enjoying PA. The majority of participants reported that they had overcome their barriers to PA through engaging with the intervention, learning and implementing behavioural change strategies and increasing their knowledge about the importance of PA for their health.
At nine months, all those participants that were engaging in recommended levels of PA at six months (n = 58, 88 %) indicated that they had maintained this level of PA over the previous three months; of the inactive remainder, 9 % (n = 6) reported a positive intention to increase their PA levels.
Discussion
This behavioural intervention was effective in increasing PA levels among patients with CHD and helping them to achieve the internationally recommended levels of daily PA required to benefit their health. The high recruitment rates, low attrition rates and positive feedback from intervention participants demonstrate the attractiveness and acceptability of this theory-based behaviour change intervention to CHD patients in Jordan.
The intervention was highly accessible to CHD patients. Firstly, it did not require their attendance at a supervised PA program. Secondly, the prescribed PA was walking which is a safe yet effective form of physical activity which can be undertaken without supervision and is therefore suitable for CHD patients [
35,
52].
Findings are limited by self-reported measures of physical activity. Although the IPAQ is a valid and reliable measure of PA, self-reports, may give a distorted impression of PA levels (usually an overestimation) compared to objective measures of PA [
53,
54]. However, standardized interviews were conducted when administering the questionnaire in order to minimize guessing and over or underestimating of PA levels, which may occur when patients fill in questionnaires on their own [
55].
Additionally, the increase in frequency, duration and intensity of physical activity observed in this study was substantially larger than that reported in many previous PA-based behavioural interventions among CHD patients in either supervised or non-supervised PA programs [
16,
27,
30,
54,
56]. An early study of supervised physical activity with CHD patients reported a greater increase in total moderate PA intensity and walking behaviour than we found here (supervised PA: 2058 METs/week; our study 886 METs/week) [
54]. However, Heath and colleagues delivered a vigorous intensity physical activity intervention [
57], and current guidance specifies that moderate PA (as we promoted) is clinically recommended for patients with CHD [
58,
59]. The success of our intervention may in part be due to the implementation of a theoretically-driven intervention in which multiple behavioural change strategies were adopted. We encouraged patients to set personal tailored goals according to their needs; as such their goals were self-set, specific and personally relevant. Previous interventions had used generic ‘one-size-fits-all’ goals for their intervention participants [
18,
27,
30‐
32,
34]. Our intervention included active self-monitoring strategies, in which participants were encouraged to record their activity levels in a diary, self-monitor their own progress and make their own plans to achieve their goals based on these observations. In previous studies, physical activity monitoring appeared to be more passive, involving the use of devices (such as accelerometers or pedometers) for automated recording of physical activity levels without participants taking responsibility for actively recording their behaviour or using the information to set tailored goals [
27,
30,
31,
34].
Our intervention included regular tailored feedback for participants, which helped them to set their own goals; the combination of feedback with self-monitoring and goal-setting approaches had not been used in many previous PA interventions among CHD patients [
22,
27,
30].
This intervention included regular follow-ups, individualised consultations and repeated reminders to act sent by text messages. Although the optimal frequency of follow-ups for PA behavioural interventions is unclear [
60] it has been documented that frequent or intense contact between the participants and the health care providers increases the efficacy of PA interventions [
16]. Although we do not have behaviour change outcomes beyond six months and as such cannot determine whether behavioural changes were sustained in the long-term, a prior intervention offering lower frequency of contact (2 contacts over 6 months) found a decrease in the use of self-regulation skills (goal-setting and self-monitoring) among patients six months after the intervention [
27] suggesting that a lower frequency of contact may not result in sustained behavioural change.
The individualised consultations delivered within our intervention included feedback on progress, and tailored advice for patients on setting their own goals, and addressing their personal barriers to exercise. Studies with healthy participants have similarly shown that individualised, personalised consultations for the delivery of behavioural change strategies can successfully increase physical activity levels [
61]. Text messaging was used in this study as a mechanism for reminding patients about their commitment to engage in regular PA, and to remind them of strategies that had been discussed to overcome their barriers. Prior research has suggested that using text messages for reminders to achieve goals enhances the mechanism through which implementation intention changes behaviour by improving the accessibility of plans [
62].
The intervention improved health-related quality of life and this is consistent with previous PA interventions implemented together with other risk factor management interventions (diet, smoking, stress) in both supervised and home based PA programs among CHD patients [
4,
16,
29,
63,
64]. Follow-up scores for health-related quality of life demonstrate that CHD patients in this study had improved health status and decreased impact of the disease following the intervention [
65,
66]. This is an important finding since poor perceived quality of life may impact negatively on an individual’s ability to sustain behavioural changes in the long-term.
We observed significant reductions in blood pressure which has important implications for lifelong health. It is possible that patients may have altered their diet or smoking habits, or consumed antihypertensive medications prior to BP measurement. However, the reduction is likely to be associated with concurrent increases in physical activity, and this is consistent with previous studies among healthy people, hypertensive and CHD patients [
67‐
69].
The intervention resulted in reductions in body mass index for CHD patients, and this has significant implications for the prevention or management of obesity (84.5 % of our sample were overweight or obese at the outset, compared with 72.7 % at follow-up), and for reducing the risk of co-morbidities. Improved body composition is likely to be associated with increases in physical activity, and improved BMI has been found in physical activity interventions elsewhere [
52,
70,
71]. Prior studies have suggested that PA intervention may have little influence on body composition (e.g. body weight) when it is not used in conjunction with dietary intervention [
2,
6,
72]. However, this study shows that intervention focused only on PA behaviour can generate clinically significant increases in reported PA activity together with reductions in BMI. This supports a review concluding that PA is associated with changes in body composition (e.g. weight loss) among overweight people even when it is implemented without dietary change methods [
73].
Due to the nature of the physical activity intervention, it was not possible to blind participants or the nurse delivering the intervention to group allocation. However, it should be noted that the assessment of outcomes was not undertaken by an independent outcomes assessor, which may incur risk of bias and is a limitation of the study. However, the positive changes in objective variables (including body composition and blood pressure) may be perceived to be indicative of responsiveness to the intervention.
This study had a high participation rate, low attrition, high adherence and positive evaluation from intervention participants. Despite limitations of the study, it is possible that cultural factors may have played a role. Jordan is a developing country and as such, challenges within the healthcare systems that mean that individualised focus on lifestyle behaviours following cardiac incident is limited in scope. In these settings there is an absence of structured cardiac rehabilitation programmes, structured lifestyle advice and tailored intervention, whether as part of hospital and community care, or through research-delivered interventions. This absence of alternative options may have exerted an influence on patients’ willingness to participate and fully engage with the intervention, and as such the high rate of positive outcomes observed.
Conclusion
This behavioural change intervention increased reported PA, improved health and psychological outcomes in CHD patients in Jordan. The intervention contained multiple elements, our magnitude of change was greater than that observed in previous studies, and all aspects of the intervention were perceived positively by participants. Through utilising multiple mechanisms for motivating behaviour change, this study addressed key limitations of prior research [
10‐
12,
14,
15,
74] and we delivered an accessible, theory-based intervention in a setting where lifestyle interventions for CHD patients are limited, and inaccessibility is a common barrier to physical activity. Firm conclusions cannot be drawn from this study as to
which elements of the intervention met with most success, and whether
all elements of the intervention are required at the delivered intensity to generate the same magnitude of change. Further research is required to determine the ‘dosage’ of intervention required to generate physical activity behaviour change. Patients in this study were followed up only at six months and therefore it is not known whether these behavioural changes are sustained in the long-term. However, significant increases in self-efficacy were reported at six months (as found in previous PA interventions) [
73,
75]. Increased self-efficacy is important since this intervention aimed to build self-efficacy for exercise, and as such, aimed to provide patients with lifelong skills to self-manage and sustain their own lifestyle behaviours over time. The cost-effectiveness of this intervention needs to be determined. There is scope for investigating pathways for implementing this intervention in new contexts. For example, different settings, as part of supervised PA programs, and/or in combination with other risk management programs (e.g. nutritional management).
Summary illustrations
-
Theory-driven, multicomponent behavioural intervention increases physical activity and improves body composition, health and psychological outcomes among patients with CHD who are not attending supervised PA programs.
-
Research is needed to determine the optimal dosage and frequency of intervention required to generate clinically relevant behaviour change and health outcomes.
-
Future studies should examine the contribution of individual behaviour change strategies in generating change, and the cost-effectiveness of the intervention.
Abbreviations
BMI, body mass index; BP, blood pressure; CHD, coronary heart disease; CONSORT, consolidated statement of reporting trials; DPB, diastolic blood pressure; ESES, exercise self-efficacy scale; HRQL, health-related quality of life; IPAQ, International Physical Activity Questionnaire; ITT, intention-to-treat analysis; MCAR, missing completely at random; METs, metabolic equivalents; PA, physical activity; SBP, systolic blood pressure
Acknowledgements
The authors would like to thank all study participants.