Abstract
Background
The level of physical activity (PA) among patients with coronary heart disease (CHD) living in Chinese communities who do not participate in cardiac rehabilitation programs and the factors contributing to patient maintenance of PA are unclear.
Objective
This cross-sectional study, guided by the Transtheoretical Model, evaluated (1) the maintenance of PA in Chinese patients with CHD 12 months after hospital discharge and (2) the demographic, clinical, and psychological characteristics associated with maintenance of PA.
Methods
A total of 1162 patients completed 6 questionnaires at 12 months posthospitalization to assess their maintenance of PA, stage of change, symptoms of depression and anxiety, and health-related quality of life and sleep.
Results
Only 40% of patients with CHD maintained regular PA 12 months after hospital discharge. Walking was their primary PA. Thirty-seven percent of patients reported no intention of having regular PA. Male sex (odds ratio [OR], 1.69), awareness of PA's cardiac benefit (OR, 4.12), a history of regular PA before the cardiac event (OR, 6.08), history of chronic disease (OR, 1.43), mild depressive symptoms (OR, 1.40), moderate and severe depressive symptoms (OR, 0.41), smoking (OR, 0.54), and years of CHD (OR, 0.96) were related to maintenance of regular PA. Patients with CHD who maintained regular PA had better quality of life and sleep (P < .001) and fewer unplanned clinic visits (P = .001) and cardiac cause readmissions (P = .012) and reported fewer declines in PA capacity (P < .001).
Conclusions
Walking is the most common form of PA 12 months posthospitalization among patients with CHD in China. Patient education and counseling about the cardiac benefits of PA, taking into account stage of change, are important considerations to improve maintenance of PA.
KEY WORDS: coronary heart disease, physical activity, maintenance, risk factors, community health
Cardiac rehabilitation (CR) can reduce mortality, hospital readmission, and cardiovascular risk factors as well as improve quality of life in patients with coronary heart disease (CHD).1–3 Physical activity (PA) is a major component of CR programs and is integral to recovery from CHD events. Guidelines for secondary prevention recommend maintaining regular PA to achieve maximum secondary prevention benefit for patients with CHD.4,5
Comprehensive CR programs in China cover 5 dimensions, including lifestyle modifications (smoking cessation, diet, PA training, and sleep management), medicine surveillance, stress management or psychological counseling, quality of life improvement, and vocational counseling.6 The programs include 3 different continuous phases: the first phase is the in-hospital rehabilitation period; the second phase is the outpatient rehabilitation period (usually 1–6 months after being discharged from hospital); and the third phase is a long-term rehabilitation period in the community or family (usually more than 6 months after being discharged from the hospital). The key point of the third phase is maintaining lifestyle modification including PA.
Comprehensive CR programs have expanded during the past 2 decades and alternative models of CR are provided in China, including home- and community-based CR.7 Unfortunately, participation and adherence to CR programs remain low8; it is estimated that only one-third of patients with CHD attend CR.8 The low participation and adherence rates are attributed to intrapersonal and interpersonal reasons such as clinical factors, provider-level factors, service delivery, health system factors,9 and symptoms of depression.10
In light of the increasing morbidity and mortality of patients with CHD in China,11 a feasible way to provide secondary prevention is greatly needed. To effectively design and implement CR and secondary prevention programs, 2 important questions must be addressed: (1) Do patients with CHD who do not participate in CR engage in and maintain PA after returning to the community; and (2) If so, what are the factors associated with their maintenance of PA?
To date, most studies on PA in China have focused on the general population. There is little research examining maintenance of PA among patients with CHD in Chinese communities who do not participate in CR. Therefore, the present study guided by the Transtheoretical Model of Behavioral Change (TTM)12 aimed to (1) assess the status of PA, stage of change, and associated outcomes for patients with CHD not participating in CR; and (2) explore the demographic factors along with clinical, psychological, and PA characteristics associated with the maintenance of PA.
Methods
This descriptive and exploratory study used a cross-sectional survey design. It was performed as a part of the development of a strategy for secondary prevention and home-based CR for patients with CHD in Hebei province, China.
Subjects and Settings
Patients with the diagnosis of CHD were recruited from 3 tertiary hospitals in different districts of Hebei province in northeastern China. Patient surveys were conducted between July and November 2017 in hospitals from 3 cities (Shijiazhuang, Tangshan, and Zhangjiakou). The cities were selected based on their geographical representation and level of economic development. In each of the 3 cities, 1 tertiary hospital was randomly selected. Within each of the 3 hospitals, patients diagnosed with CHD, aged 18 to 80 years were selected. Because of the different population sizes of the 3 cities, to ensure that those at larger sites had the same probability of being selected for the sample as those at smaller sites, and vice versa, probability proportional to the population size of each city was used in this study. Patients were considered eligible if they met 1 of the following inclusion criteria: diagnosis of acute coronary syndrome, coronary revascularization, and/or angina with at least 1 coronary artery stenosis greater than 50%. Patients were excluded if they were beyond the age limit; were involved in any CR program in or out of hospital; had serious dysrhythmia (ventricular fibrillation, ventricular tachycardia, or third-degree atrioventricular block, not including reperfusion arrhythmias), or serious heart failure (New York Heart Association classification type IV) during hospitalization; had a hearing and/or communication disability recorded during hospitalization; or had orthopedic limitations (eg, lower lumbar spinal orthopedic disease limiting PA). Patients included in the study were then classified by the type of CHD treatment strategy, that is, percutaneous coronary intervention (PCI), coronary artery bypass graft, or medical therapy.
The final group included 1162 patients with CHD (Shijiazhuang, 540; Tangshan, 388; Zhangjiakou, 234), who had been discharged from the hospital for 12 months, with data available for all analyzed variables.
The patients were surveyed by telephone interviews in Chinese by trained research assistants. The time to complete the survey ranged from 26 to 54 minutes. All patients provided informed consent before data collection, and the research protocols were approved by the Human Ethics Committee of Tangshan Gongren Hospital.
Data Collection and Measures
Demographic and Clinical Data
Patient demographic and clinical data were collected from the electronic medical record using a data collection form created for this study. Demographic details included age, marital status, sex, and years of education. Clinical data included medical history of CHD and comorbidities.
Anthropometric Measures
Height and weight were self-reported if the patient could report recent accurate measures. If they could not, or were uncertain, research assistants instructed the patient in the performance of the measures. During measurements, all patients wore light clothing and removed their shoes.
Physical Activity and Stage of Change for Physical Activity
The International Physical Activity Questionnaire, developed by an International Consensus Group, was used in this study. It includes long (31 items) and short (9 items) versions that can be self-administered or completed by interview/telephone to monitor PA habits over the previous 7 days with good reliability and validity.13,14 The short version was used to estimate the total weekly PA level by classifying reported hours as low, moderate, or high intensity, according to metabolic equivalent of energy (MET) estimates. Walking is an example of low-level PA; moderate PA includes jogging, aerobics, gardening, bicycling, dancing, swimming, or house cleaning; vigorous PA includes running, lifting heavy objects, playing strenuous sports, or strenuous work. Walking was evaluated as 3.3 METs; moderate activity, as 4.0; and high-intensity activity, as 8.0.15
The TTM12 was used to assess patient maintenance of PA. According to the TTM,12 behavioral change includes 5 stages: precontemplation, contemplation, preparation, action, and maintenance. Patient PA stage was assessed using questionnaire on Stage of Changing.10 We categorized patients into maintenance and nonmaintenance PA groups (see Figure 1). Maintenance of PA, the main outcome in this study, is the stage in which people have made specific overt modifications in their lifestyle for at least 6 months. Nonmaintenance in this study included the stages of precontemplation (not intending to start PA regularly), contemplation (intending to start PA regularly in the next 6 months), preparation (intending to start PA regularly in the next 30 days), and action stage (those doing PA regularly for less than 6 months or those doing PA irregularly).
FIGURE 1.

Questionnaire on Stage Of Change.
Depressive Symptoms
Depressive symptoms were assessed using the Patient Health Questionnaire,16 a screening instrument with 9 items, developed to measure symptoms of depression. The Patient Health Questionnaire has been used to measure symptoms of depression in CR. For each of the 9 items, patients were asked how much they were bothered by symptoms during the last 2 weeks. Each item had response options ranging from 0 to 3 (0 = not at all, 1 = several days, 2 = more than half the days, 3 = nearly every day). Total scores ranged from 0 to 27, with higher scores indicating more depressive symptoms. The total score was categorized into 4 severity groups: no (0–4), mild (5–9), moderate (10–14), and severe (≥15) symptoms of depression.17 The Chinese version of Patient Health Questionnaire18 is a reliable and efficient instrument to assess symptoms of depression in Chinese outpatients with cardiovascular diseases.19 In this study, the Patient Health Questionnaire Cronbach's α was 0.74. Moderate depressive symptoms were merged with severe depressive symptoms for analyzing their relationship to PA maintenance.
Anxiety
Symptoms of anxiety were assessed using the Generalized Anxiety Disorder (GAD) 7 Scale. The GAD-7 questionnaire is a 1-dimensional self-administered scale designed to assess the presence of symptoms of generalized anxiety disorder, as listed in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition.20 Subjects were asked how often during the previous 2 weeks they experienced each of the 7 core symptoms of generalized anxiety disorder. The total GAD-7 score was calculated by simple addition of the answers to each item. Response options were “not at all,” “several days,” “more than half the days,” and “nearly every day,” scored as 0, 1, 2, and 3, respectively. The total score ranged from 0 to 21,20 categorized into 4 severity groups: minimal (0–4), mild (5–9), moderate (10–14), and severe (15–20).20 The Chinese version of GAD-721 is reliable and efficient for screening anxiety disorder in Chinese cardiovascular outpatients.19 In this study, the GAD-7 Cronbach's α was 0.83. Moderate anxiety symptoms were merged with severe anxiety symptoms for analyzing their relationship with PA maintenance.
Outcomes Associated With Physical Activity Maintenance
Quality of Life
Quality of life was assessed by the Chinese Questionnaire on quality of life in Patients With Cardiovascular Disease (CQQC). The CQQC was developed by the Cardiovascular Committee of the Chinese Society of Rehabilitation Medicine in 1996 and was revised in 2008. It is a self-reported questionnaire with strong reliability (Cronbach α = 0.91).22 In this study, the CQQC Cronbach's α was 0.85. It includes 6 categories: physical strength, illness, medical treatment, general life, social psychology, and working condition, with a total of 24 items.22 The questionnaire score ranges from 0 to 154 points; the higher the score, the higher the quality of life.22
Sleep Quality
Sleep quality was assessed using the Chinese version of the Pittsburgh Sleep Quality Index.23 The Pittsburgh Sleep Quality Index has 19 self-rated items related to sleep quality in the past month, of which 7 component scores are summed to obtain a global score. The 7 components include subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Each component score ranges from 0 to 3, with scores higher than 1 indicating problems in that aspect of sleep quality. The global score of sleep quality ranged from 0 to 21, with a higher score indicating poorer quality of sleep, whereas a cutoff score of 5 or lower indicated good sleep quality.24 The Pittsburgh Sleep Quality Index has good overall reliability (Cronbach α = 0.84).23 The Pittsburgh Sleep Quality Index Cronbach's α was 0.79 in this study.
The other outcomes were assessed by asking: “How many instances of unplanned clinical visits, emergency visits and hospitalizations for cardiac problems were there?’ Unplanned clinical visits included all the cardiac clinic visits, except those for medication refills. Emergency visits included only cardiac-emergency visits. Hospitalization included only the cardiac-causes of hospitalization. The change in PA capacity was assessed by asking “According to your PA capacity during the last month, choose 1 proper word to describe your PA capacity after the cardiac event from the following 3 different words: reduced, similar, or increased.”
Covariates
Covariates were sociodemographic and clinical characteristics (age at interview, sex, number of educational years, current smoking status, current alcohol consumption, obesity, chronic disease history, co-morbidity, and treatment strategy). Educational years were categorized as 6 years or less (basic education), 6 to 9 years (secondary education), and more than 9 years (tertiary education). Smoking status was self-reported. Chronic disease history was collected from the electronic medical record, including history of hypertension, diabetes, and stroke. Obesity was defined as a body mass index greater than 30 kg/m2. Other information about PA was assessed by asking: “Do you know that you should perform PA when recovering from the index event or procedure (PCI, coronary artery bypass graft surgery, or acute coronary syndrome)?” This was asked to assess patient awareness about the benefit of PA. To assess the patient's history of PA, we also asked, “Did you have a routine for performing regular PA before the diagnosis of CHD” to assess the patients' history of PA.
Data Analysis
Data analyses were performed using the Statistical Package for the Social Sciences (SPSS ver. 22.0; SPSS Inc, Chicago, Illinois). Means and standard deviations, frequencies, and percentages were used to describe sociodemographic, clinical, and PA characteristics. The differences between the maintenance and nonmaintenance groups were compared using Student t test for continuous variables and χ2 test for categorical variables.
Walking was valued as 3.3 METs; moderate activity, as 4.0; and high-intensity activity, as 8.0.15 The weighted MET-minutes per week (MET·min·wk−1) was calculated as duration × frequency per week × MET intensity. Using the data truncation principle, when a certain intensity of PA lasted more than 3 h/d, it was recalculated as 180 minutes.15 This principle allows for a maximum of 21 hours for each intensity level of PA (1260 minutes) per week. This process effectively avoids misclassifying some individuals into the “high” groups.15
Binary logistic analysis in generalized linear models was used to analyze predictors related to maintenance of PA (dependent variable). All variables were entered into the model, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. A P value <.05 was considered to indicate statistical significance.
Results
Study Population
Between June 1, 2017, and October 31, 2017, among 1682 patients with CHD who were discharged from the 3 hospitals for 12 months, 1442 patients could be reached by telephone. Nineteen patients died before data collection, 20 patients were older than 80 years, and 241 patients refused to participate in the study (Figure 2). Consequently, 1162 patients were included in the analyses. The patients ranged in age from 27 to 80 years (mean, 60.9 ± 9.86 years), 68.8% of patients (n = 800) were male, and 48.3% (n = 561) were obese. The mean number of coronary vascular lesions was 2.42 ± 0.80; 80.3% of the patients had 2 or more vessel diseases, and 19.2% of patients had a more than 5-year history of CHD. Most patients (74.9%) had a history of chronic disease, 54.5% of patients had hypertension, 25.5% had diabetes, and 5.7% had a previous stroke. Most patients (67.1%) received PCI (Table 1).
FIGURE 2.

Study overview. Coronary heart disease (CHD) is defined as at least 1 coronary artery stenosis 50% or greater, history of percutaneous coronary intervention, ST-elevated myocardial infarction, non–ST-elevated myocardial infarction, or coronary artery bypass graft.
TABLE 1.
Characteristics of the Study Participants
| Variable | n (%) | Mean (SD) | Range |
|---|---|---|---|
| Age, y | 60.91 (9.86) | 27–80 | |
| Body mass index, kg/m2 | 25.10 (3.31) | 16.3–37.5 | |
| Years with CHD | 3.36 (4.17) | 1–31 | |
| Total number of comorbidities | 1.21 (1.00) | 0–7 | |
| Total number of vascular lesions | 2.42 (0.80) | 1–3 | |
| Total score of PHQ-9 | 5.58 (3.48) | 2–14 | |
| Total score of GAD-7 | 4.56 (2.80) | 1–19 | |
| Male | 800 (68.8) | ||
| Obesity | 561 (48.3) | ||
| Married | 1092 (94.0) | ||
| Educational level | |||
| Basic education (≤6 years) | 340 (29.3) | ||
| Secondary education (6–9 years) | 551 (47.4) | ||
| Tertiary education (>9 years) | 271 (23.3) | ||
| Employed | 358 (30.8) | ||
| Smoking (yes) | 118 (10.2) | ||
| Drinking (yes) | 184 (15.8) | ||
| Vascular lesions ≥2 | 933 (80.3) | ||
| Chronic disease history | 870 (74.9) | ||
| Diabetes mellitus | 296 (25.5) | ||
| Hypertension | 632 (54.4) | ||
| Previous stroke | 66 (5.7) | ||
| Treatment strategy | |||
| Medical therapy | 362 (31.2) | ||
| PCI | 780 (67.1) | ||
| CABG | 20 (1.7) |
Abbreviations: CABG, coronary bypass graft; CHD, coronary heart disease; GAD-7, Generalized Anxiety Disorder-7; PA, physical activity; PCI, percutaneous coronary intervention; PHQ-9, Patient Health Questionnaire.
Physical Activity Level and Stage of Physical Activity Change
The total score of PA in this sample was 4793.70 ± 2556.21 MET·min·wk, in which most of the PA scores were related to walking (2421.96 ± 1341.24), followed by moderate-intensity (2134.04 ± 1495.28) and vigorous-intensity (237.69 ± 1136.47) PA. Most patients (84.9%) in this sample reported awareness of PA's cardiac benefit but less than half of the patients (47.8%) had routine PA before the cardiac event. Overall, 40.4% of the patients were in the maintenance of stage doing PA regularly, whereas 37.3% of patients were in the precontemplation stage, 7.1% were in the contemplation and preparation stage, and 15.2% were in the action phase but did not engage in regular PA (Table 2).
TABLE 2.
Physical Activity Level of the Study Participants
| PA Level/Characteristics | n (%) | Mean (SD) | Range |
|---|---|---|---|
| Walking, MET·min·wk | 2421.96 (1341.24) | 66–4158 | |
| Moderate, MET·min·wk | 2134.04 (1495.28) | 0–5040 | |
| Vigorous, MET·min·wk | 237.69 (1136.47) | 0–7200 | |
| Total MET·min weekly | 4793.70 (2556.21) | 132–19278 | |
| Awareness of cardiac benefits of PA | 987 (84.9) | ||
| Routine of regular PA before the cardiac event | 556 (47.8) | ||
| Stage of PA changing | |||
| Precontemplation | 434 (37.3) | ||
| Intend to | 83 (7.1) | ||
| Action | 176 (15.2) | ||
| Maintenance | 469 (40.4) |
Abbreviations: MET·min·wk, metabolic equivalent of energy minutes per week; PA, physical activity.
Outcomes and Physical Activity Level Comparing Between the 2 Groups
Patients in the PA maintenance group had fewer unplanned clinic visits and cardiac readmissions, as well as higher quality of sleep and life, than those in the nonmaintenance group. Comparing the PA level between the 2 groups, we found that walking and weekly total METs were significantly different between the 2 groups, being more frequent in the maintenance group (P < .001), but there was no difference in moderate- and vigorous-intensity PA (P > .05) between the maintenance and nonmaintenance groups. More patients reported increased PA capacity (24.5% vs 15.3%) and fewer patients reported reduced PA capacity (19.8% vs 34.6%) in the maintenance group (P < .001) (Table 3).
TABLE 3.
Comparison of Physical Activity Stage of Change and Outcomes for the 2 Groups
| Variables | Maintenance | Nonmaintenance | P | |
|---|---|---|---|---|
| Outcomes | ||||
| Unplanned clinical visits | 0.64 ± 0.95 | 0.91 ± 1.29 | .001 | |
| Emergency visits | 0.04 ± 0.33 | 0.04 ± 0.20 | .345 | |
| Cardiac-caused hospitalization | 0.24 ± 0.64 | 0.30 ± 0.58 | .012 | |
| Total score of PSQI | 3.27 ± 3.00 | 4.55 ± 3.51 | <.001 | |
| Total score of CQQC | 83.96 ± 10.07 | 75.49 ± 14.38 | <.001 | |
| PA levels | ||||
| Walking, MET·min·wk | 2904.49 ± 1173.90 | 2095.40 ± 1349.65 | <.001 | |
| Moderate, MET·min·wk | 2132.03 ± 1446.17 | 2135.41 ± 1528.66 | .969 | |
| Vigorous, MET·min·wk | 299.87 ± 1271.48 | 195.61 ± 1034.01 | .140 | |
| Total MET·min weekly | 5336.39 ± 2240.65 | 4426.43 ± 2689.36 | <.001 | |
| Change in PA capacity compared to before the event, n (%) | <.001 | <.001 | ||
| Reduced | 93 (19.8) | 240 (34.6) | ||
| Similar | 261 (55.7) | 347 (50.1) | ||
| Increased | 115 (24.5) | 106 (15.3) | ||
Abbreviations: CQQC, China Questionnaire of Quality Life in Patients With Cardiovascular Disease; MET·min·wk, metabolic equivalent of energy minutes per week; PA, physical activity; PSQI, Pittsburgh Sleep Quality Index.
Factors Affecting Regular Physical Activity Among Patients With Cardiac Disease
Binary logistic analysis in generalized linear models was used to analyze the predictors related to maintenance of PA (dependent variable). All variables were entered into the model as independent variables. The results showed that male sex (OR, 1.69; 95% CI, 1. 21–2.35), chronic disease history (OR, 1.43; 95% CI, 1.03–1.99), awareness of PA's cardiac benefit (OR, 4.12; 95% CI, 2. 40–7.15), history of routine PA before the event (OR, 6.08; 95% CI, 4.54–8.14), a history of chronic disease (OR, 1.64; 95% CI, 1.06–2.55; P < .05), and mild depressive symptoms (OR, 1.37; 95% CI, 1.02–1.85; P < .05) were associated with significantly higher odds of maintaining regular PA. However, smoking (OR, 0.54; 95% CI, 1 21–2.35), years of CHD (OR, 0.96; 95% CI, 0.93–0.99), and moderate or severe depressive symptoms (OR, 0.41; 95% CI, 0.18–0.95) were associated with significantly lower odds of maintaining regular PA (Table 4).
TABLE 4.
Binary Logistic Model for Maintaining Regular Physical Activity Levels Among Patients With Coronary Heart Diseasea
| Variables | B | SE | P | OR | 95% CI for OR |
|---|---|---|---|---|---|
| Male sex | 0.52 | 0.17 | .002 | 1.69 | 1.21–2.35 |
| Smoking | −0.62 | 0.28 | .029 | 0.54 | 0.31–0.94 |
| Years of CHD | −0.04 | 0.02 | .020 | 0.96 | 0.93–0.99 |
| Chronic disease history | 0.36 | 0.17 | .035 | 1.43 | 1.03–1.99 |
| Awareness PA's cardiac benefits | 1.42 | 0.28 | <.001 | 4.12 | 2.40–7.15 |
| PA routine prior CHD | 1.81 | 0.15 | <.001 | 6.08 | 4.54–8.14 |
| Depression level | |||||
| No depression | 1 | ||||
| Mild depression | 0.34 | 0.15 | .028 | 1.40 | 1.04–1.90 |
| Moderate and serious depression | −0.89 | 0.43 | .038 | 0.41 | 0.18–0.95 |
Abbreviations: CHD, coronary heart disease; CI, confidence interval; OR, odds ratio; PA, physical activity.
aThis model used the generalized linear model.
Discussion
In this multicenter study on patients with CHD from China, only 40% (n = 469) of the patients reported maintaining regular PA 12 months after hospital discharge. Importantly, 37% of patients reported no intention of engaging in regular PA.
The patients in the regular PA group reported more energy expenditure by walking (P < .001) than by moderate (P = .969) and vigorous (P = .140) level PA. This suggests that walking might be an easier PA to maintain than moderate or vigorous PA among Chinese patients with CHD, especially for those patients who had no routine PA before their cardiac event.
Meanwhile, better health-related quality of life and exercise capacity, less unplanned clinic visits, and cardiac-caused hospitalization were observed among patients in the regular PA group, compared with the irregular PA group (P < .05). Substantial research has shown that walking (mild PA) can improve quality of life25 and exercise capacity26 among patients with CHD and decrease mortality compared with those who are inactive, in both the general population27,28 and patients.29,30 Wasfy and Baggish,31 in their review of relevant epidemiologic literature on exercise, also found that the least active patients may benefit most from small increments in PA. Therefore, encouraging patients with CHD to maintain even mild PA can be an extremely important strategy to achieve successful secondary prevention.
This study also showed that the independent factors affecting patient PA maintenance included intrapersonal variables such as sex and smoking; clinical variables, such as chronic disease history and CHD duration; PA characteristics, such as routine PA before the CHD and awareness of PA's cardiac benefits; and moderate and severe depressive symptoms. Generally, research has shown that men are more active than women across the lifespan.32 Our finding that maintenance of PA was 1.7 times more likely in men than women is similar to the findings from other studies that women are more likely to be inactive after a cardiac event.33 Tailored interventions addressing the varied independent factors that affected our Chinese patients' participation in PA might be able to improve their maintenance of PA.
Consistent with other studies that have shown that regular PA before a cardiac event is a predictor of PA maintenance,34 our study found that patients with a history of routine PA before their cardiac event are 6 times more likely to maintain regular PA after their cardiac event. However, less than half patients (47.8%) in this study reported a routine of regular PA before the cardiac event. Several studies of PA in China report low levels of PA. For example, Bennett et al35 reported a total mean (SD) PA of 21.5 (12.8) MET hours per day (MET-h/d) in a large sample of people in China (n = 487 000). Tian et al36 also reported that, in the general population, only 22.8% individuals engaged in regular PA in China. The participation in PA was much lower than that in the United States (51.6%)37 and Finland (33% in men and 27% in women).38 Our study also found that patients who were aware of the cardiac benefit of PA were 4 times more likely to maintain regular PA. Thus, the public health agenda in China should include a strong emphasis on educating patients and the public about the importance and cardiovascular benefits of regular PA. Messaging through enhanced media and broadcasting activities may help to increase awareness and knowledge about the benefits of regular PA for those with CHD as well as the general population in China.
Moderate and severe symptoms of depression were a negative predictor for maintaining regular PA in our patients, lowering the odds of maintaining PA by 60%. This result concurs with findings of the study of Prugger et al10 wherein severe depressive symptoms had a detrimental effect on maintaining regular PA. Interestingly, the results of our study showed that symptoms of mild depression were associated with a 40% increase in the likelihood of maintaining PA. Further study is needed to confirm this observation and explore the reasons for this relationship.
Patients with a history of chronic disease (hypertension, diabetes, and stroke) were 1.4 times more likely to maintain regular PA in our study, which differs from the findings of Armstrong et al.39 This may be because individuals in our study with chronic disease history had more frequent visits to healthcare providers and received more education about the benefits of PA. We found that patients who knew the benefits of PA were 4 times more likely to maintain PA. This is similar to results from a previous study, which showed that an awareness of the benefits of PA is helpful in encouraging patients to establish PA.40 Years of CHD was negatively associated with maintaining regular PA. An additional year of CHD lowered the odds of maintaining regular PA by 4% (P = .02). This might be explained by a reduction in the capacity for PA associated with progression of CHD.
Limitations
Our findings should be interpreted in light of several limitations. First, this study is cross-sectional and lacks patient baseline data; therefore, it cannot support a causal relationship associated with PA. Second, we used self-reported data including PA routine and PA awareness, which may have introduced a recall bias. However, the measure of PA (International Physical Activity Questionnaire) is reliable, valid, widely used across cultures and populations, and has been correlated with objective measures of PA.16 Third, we used a convenience sample, which limited the generalizability of findings. Fourth, we only collected the maintenance PA data at 12 months. Data at 6 months or other interim points were not included, and thus, temporal trends were not reported.
Conclusions
To our knowledge, this is the first study to explore maintenance of PA among patients with CHD living in Chinese communities. Our finding that only 40% of patients with CHD maintain regular PA after hospital discharge has important implications for both healthcare providers and researchers. Interventions should focus on enhancing patient awareness of the cardiac benefits of PA and supporting them in establishing an individualized PA routine based on their stage of change. The patient's stage of change for PA should be assessed and their psychological status evaluated and incorporated into a clinical care plan. This would be an important step toward developing a tailored intervention to improve maintenance of PA. Tailored interventions should be developed that take into account those characteristics identified by this study which, when present, suggest that a patient is less likely to maintain PA (eg, women, moderate or severe depression, multiple year history of CHD). Further studies should also examine the dosage effect of such interventions on the maintenance of PA.
What’s New and Important
Only 40% of patients with CHD maintain regular PA 12 months after hospital discharge in China. Walking is the most common form of PA among Chinese patients with CHD.
Maintenance of regular PA 12 months after hospital discharge for a cardiac event is more likely to occur in patients with a routine of regular PA before the cardiac event, men, patients who are aware of the cardiac benefits of PA, and those with chronic disease history.
Female sex, smoking, years of CHD, and moderate and severe depressive symptoms are risk factors for lack of regular PA in patients with CHD.
In patients with CHD who regularly perform PA, even low-intensity PA is likely to be associated with better clinical outcomes.
Acknowledgments
The authors would like to recognize and thank Nancy Houston Miller, RN BSN, for her editorial assistance with this article. The research team is grateful to all of the study participants.
Footnotes
This study was supported by the Hebei Province Science and Technology Support Program (CN) (no. 17277707D).
The authors have no conflicts of interest to disclose.
REFERENCES
- 1.Anderson L Oldridge N Thompson DR, et al. Exercise-based cardiac rehabilitation for coronary heart disease: Cochrane systematic review and meta-analysis. J Am Coll Cardiol. 2016;67(1):1–2. [DOI] [PubMed] [Google Scholar]
- 2.Yang X Li Y Ren X, et al. Effects of exercise-based cardiac rehabilitation in patients after percutaneous coronary intervention: a meta-analysis of randomized controlled trials. Sci Rep. 2017;7:44789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Powell R, Mcgregor G, Ennis S, Kimani PK, Underwood M. Is exercise-based cardiac rehabilitation effective? A systematic review and meta-analysis to re-examine the evidence. BMJ Open. 2018;8(3):e19656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Smith SC Benjamin EM Bonow RO, et al. AHA/ACCF secondary prevention and risk reduction therapy for patients with coronary and other atherosclerotic vascular disease: 2011 update: a guideline from the American Heart Association and American College of Cardiology Foundation. J Am Coll Cardiol. 2011;58(23):2432–2446. [DOI] [PubMed] [Google Scholar]
- 5.Perk J Gohlke H Graham I, et al. European guidelines on cardiovascular disease prevention in clinical practice (version 2012). Int J Behav Med. 2012;19(4):403–488. [DOI] [PubMed] [Google Scholar]
- 6.China Medical Association Cardiovascular Science Branch, China Rehabilitation Medical Association Cardiovascular Disease Professional Committee, Chinese Gerontology Society Cardiovascular and Cerebrovascular Disease Professional Committee Chinese expert consensus on rehabilitation and secondary prevention of coronary heart disease. Chin J Cardiovasc Dis. 2013;41(4):267–275. [Google Scholar]
- 7.Lima de Melo Ghisi G Pesah E Turk-Adawi K, et al. Cardiac rehabilitation models around the globe. J Clin Med. 2018;7(9):E260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Stewart R Held C Brown R, et al. Physical activity in patients with stable coronary heart disease: an international perspective. Eur Heart J. 2013;34(42):3286–3293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Resurrección DM Moreno-Peral P Gómez-Herranz M, et al. Factors associated with non-participation in and dropout from cardiac rehabilitation programmes: a systematic review of prospective cohort studies. Eur J Cardiovasc Nurs. 2019;18:38–47. [DOI] [PubMed] [Google Scholar]
- 10.Prugger C Wellmann J Heidrich J, et al. Regular exercise behaviour and intention and symptoms of anxiety and depression in coronary heart disease patients across Europe: results from the EUROASPIRE III survey. Eur J Prev Cardiol. 2016;24(1):84–91. [DOI] [PubMed] [Google Scholar]
- 11.Hu S Gao R Liu L, et al. China cardiovascular diseases report 2018: an updated summary. Circulation. 2019;34:209–220. (in Chinese). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Prochaska JO, Diclemente CC. Transtheoretical therapy: toward a more integrated model of change. Psychotherapy (Chic). 1982;19(3):276–288. [Google Scholar]
- 13.Craig CL Marshall AL Sjostrom M, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–1395. [DOI] [PubMed] [Google Scholar]
- 14.Qu NN, Li KJ. Study on the reliability and validity of International Physical Activity Questionnaire (Chinese Vision, IPAQ). Zhonghua Liu Xing Bing Xue Za Zhi. 2004;25(3):265–268. [PubMed] [Google Scholar]
- 15.Fan M, Lyu J, He P. Chinese guidelines for data processing and analysis concerning the International Physical Activity Questionnaire. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35(8):961–964. [PubMed] [Google Scholar]
- 16.Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ Primary Care Study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. JAMA. 1999;282(18):1737–1744. [DOI] [PubMed] [Google Scholar]
- 17.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang W Bian Q Zhao Y, et al. Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population. Gen Hosp Psychiatry. 2014;36(5):539–544. [DOI] [PubMed] [Google Scholar]
- 19.Yuan J, Ding R, Wang L, Sheng L, Li J, Hu D. Screening for depression in acute coronary syndrome patients: a comparison of Patient Health Questionnaire-9 versus Hospital Anxiety and Depression Scale–Depression. J Psychosom Res. 2019;121:24–28. 10.1016/j.jpsychores. [DOI] [PubMed] [Google Scholar]
- 20.Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–1097. [DOI] [PubMed] [Google Scholar]
- 21.Zeng QZ Yan-Ling HE Liu H, et al. Reliability and validity of Chinese version of the Generalized Anxiety Disorder 7-item (GAD-7) scale in screening anxiety disorders in outpatients from traditional Chinese internal department. Chin Mental Health J. 2013;27(3):163–168. (in Chinese). [Google Scholar]
- 22.Liu JS Ma CM Liu WX, et al. Evaluation of Chinese questionnaire of quality of life in patients with cardiovascular disease. Chin J Cardiovasc Rehabil Med. 2008;17(4):309–312. (in Chinese). [Google Scholar]
- 23.Liu XC, Tang MQ. Reliability and validity of the Pittsburgh Sleep Quality Index. Chin J Psychiatry. 1996;29(2):103–107. (in Chinese). [Google Scholar]
- 24.Buysse DJ, Reynolds CF, 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. [DOI] [PubMed] [Google Scholar]
- 25.Soares-Miranda L, Siscovick DS, Psaty BM, Longstreth WT, Jr., Mozaffarian D. Physical activity and risk of coronary heart disease and stroke in older adults: the cardiovascular health study. Circulation. 2015;133(2):147–155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Charlotte T John H Mette G, et al. Cardiac patients' walking activity determined by a step counter in cardiac telerehabilitation: data from the intervention arm of a randomized controlled trial. J Med Internet Res. 2016;18(4):e69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Biswas A Oh PI Faulkner GE, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123–132. [DOI] [PubMed] [Google Scholar]
- 28.Schmid D, Ricci C, Baumeister SE, Leitzmann MF. Replacing sedentary time with physical activity in relation to mortality. Med Sci Sports Exerc. 2016;48(7):1312–1319. [DOI] [PubMed] [Google Scholar]
- 29.Stewart RAH Held C Hadziosmanovic N, et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017;70(14):1689–1700. [DOI] [PubMed] [Google Scholar]
- 30.Saint-Maurice PF, Troiano RP, Berrigan D, Kraus WE, Matthews CE. Volume of light versus moderate-to-vigorous physical activity: similar benefits for all-cause mortality? J Am Heart Assoc. 2018;7(7):e008815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wasfy MM, Baggish AL. Exercise dose in clinical practice. Circulation. 2016;133(23):2297–2313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lounassalo I Salin K Kankaanpää A, et al. Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review. BMC Public Health. 2019;19(1):271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Minges K Strait K Owen N, et al. Gender differences in physical activity following acute myocardial infarction in adults: a prospective, observational study. Eur J Prev Cardiol. 2017;24(2):192–203. [DOI] [PubMed] [Google Scholar]
- 34.van Bree RJH, van Stralen MM, Mudde AN, Bolman C, de Vries H, Lechner L. Habit as mediator of the relationship between prior and later physical activity: a longitudinal study in older adults. Psychol Sport Exerc. 2015;19:95–102. [Google Scholar]
- 35.Bennett DA Du H Clarke R, et al. Association of physical activity with risk of major cardiovascular diseases in Chinese men and women. JAMA Cardiol. 2017;2(12):1349–1358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Tian Y Jiang C Wang M, et al. BMI, leisure-time physical activity, and physical fitness in adults in China: results from a series of national surveys, 2000-14. Lancet Diabetes Endocrinol. 2016;4(6):487–497. [DOI] [PubMed] [Google Scholar]
- 37.Mcguire S, Centers for Disease Control and Prevention . State indicator report on physical activity, 2014. Atlanta, GA: U.S. Department of Health and Human Services; 2014. Adv Nutr. 2014;5(6):762–763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Borodulin K, Harald K, Jousilahti P, LaatiKainen T, Männistö S, Vartiainen E. Time trends in physical activity from 1982 to 2012 in Finland. Scand J Med Sci Sports. 2016;26(1):93–100. [DOI] [PubMed] [Google Scholar]
- 39.Armstrong MJ Sigal RJ Arena R, et al. Cardiac rehabilitation completion is associated with reduced mortality in patients with diabetes and coronary artery disease. Diabetologia. 2015;58(4):691–698. [DOI] [PubMed] [Google Scholar]
- 40.Shao C, Wang J, Liu J, Tian F, Li H. Effect of a health belief model-based education program on patients' belief, physical activity, and serum uric acid: a randomized controlled trial. Patient Prefer Adherence. 2018;12:1239–1245. [DOI] [PMC free article] [PubMed] [Google Scholar]
