Academic Editors: Francesco Onorati, Brian Tomlinson and Takatoshi Kasai
Background: Exercise can help patients with aortic dissection (AD)
control blood pressure, prevent further progression of AD, promote mental health,
improve the prognosis of cardiovascular disease, and improve their overall
quality of life. However, it is not clear what the attitudes and behavioral
intentions of AD survivors are towards exercise. Methods: This
exploratory qualitative research was based on the Health Action Process Approach
(HAPA) theory to explore the cognition, attitude, motivational factors, behavior
intention, barriers and facilitators of exercise in patients with AD.
Face-to-face and telephone semi-structured interviews were conducted in 24 AD
patients from the Department of Cardio-Vascular Surgery of third-grade Class A
hospitals in Wuhan, China from April 2021 to June 2021. The patient’s current
stage of behavior was evaluated according to the Patient-Centered Assessment and
Counseling for Exercise (PACE) questionnaire. Results: Among the 24
participants interviewed, 9 (37.5%) were in the pre-intention stage, 8 (33.3%)
were in the intention stage, and 7 (29.2%) were in the action stage. The three
groups were significantly different in terms of their history of previous cardiac
surgery (Fisher’s exact test, p = 0.043)
and in the type of interview conducted (Fisher’s exact test,
p
Aortic dissection (AD) is a pathological change where the blood in the aortic cavity enters the aortic media from the aortic intima tear and expands along the long axis of the aorta, resulting in separation of the true and false aortic cavities [1]. It is a serious cardiovascular emergency with the characteristics of sudden onset, rapid progression and high mortality.
In recent years, with the improvement of diagnostic methods, surgical techniques, anesthesia and drug treatment, the postoperative outcome of AD has steadily improved [2, 3]. Howard et al. [1, 4] reported the 5-year survival rate of patients with AD was 60%–80%. However, the medium-term prognosis is still poor and the risk of AD recurrence, rupture and cardiovascular disease is high in this group [5]. The quality of life (QoL) of AD survivors was not ideal [6, 7], and patients tend to have decreased physical function and some psychological problems such as anxiety and depression [8, 9, 10].
The average age of patients presenting with acute AD ranges from age 48 to 67
years (median age, 61) [11], with survivors now often being younger and more
physically active [12]. As such, this patient group often desires a high quality
of life. The most important factor following AD diagnosis is to control the
patient’s blood pressure [1]. Moderate physical exercise is an important
intervention to lower blood pressure, prevent the progression of AD, promote
mental health, and improve the prognosis and overall quality of life of the AD
patient [13, 14, 15]. A recent review established the safety and effectiveness of
exercise-based cardiac rehabilitation for AD patients [16]. Moderate and low
intensity aerobic exercise such as fast walking or cycling (3–5 Metabolic
equivalents) for
Conceptual models or theories can provide a useful basis for exploratory research [18]. Schwarzer put forward the theory of Health Action Process Approach (HAPA) in 1992 [19]. In HAPA, the change of healthy behavior is regarded as a continuous change process that includes the beginning, maintenance and recovery of behavior. The theoretical framework of the model is shown in Fig. 1 (Ref. [19]). Some scholars have applied HAPA theory to patients with persistent musculoskeletal pain [20] or following lung cancer surgery [21] in order to explore the cognitive and behavioral characteristics of individuals in the process of exercise behavior change.
Health Action Process Approach (HAPA) mode. Schwarzer put forward the theory of HAPA in 1992 [19]. In HAPA, the change of healthy behavior is regarded as a continuous change process including the beginning, maintenance and recovery of behavior. Behavioral intention, as an important predictor of health behavior, is the core of the theoretical model.
In view of the sparse research published to date on the attitude to exercise in postoperative patients with AD, here we performed qualitative research on the exercise behavior of AD patients. Based on the HAPA theory, we explored the cognition, attitude, motivational factors, behavior intention, barriers and facilitators of exercise in patients with AD.
A qualitative study design and content analysis approach was implemented.
The method of purposive sampling was employed. When there were no new views in
the structure of cognition, attitude, motivational factors, behavior intention,
barriers and facilitators of exercise during the interview of patients with AD,
this indicated the sample size had reached saturation and no further interviews
were required [22]. Thirty survivors of AD were recruited from the Department of
Cardio-Vascular Surgery of third-grade Class A hospitals in Wuhan, China. Six
survivors refused to participate in the study because of a lack of time or
interest. Of the remaining 24 patients, 12 in-patients were interviewed
face-to-face and 12 discharged patients were interviewed by telephone. Inclusion
criteria included: (1) patients were diagnosed according to the 2014 European
Society of Cardiology guidelines; (2) age
Data was collected from April 2021 to June 2021 by a graduate student with training in qualitative research methodology (DNF). Eligible patients were selected following the doctor’s ward rounds. Contact information for discharged patients was obtained from the doctors’ workstation. Informed consent from patients was obtained after fully explaining the purpose of the study. General information on patients with AD was obtained from the medical records according to their hospitalization number. The patient’s current stage of behavior was assessed according to the Patient-Centered Assessment and Counseling for Exercise (PACE) questionnaire [23]. The interview outline was drawn up based on the HAPA theory. After the pre-interview, the final version of the interview outline was modified and determined according to the interview results and the patient’s response, as shown in Fig. 2. The interview lasted 20–40 min and was conducted in a quiet, comfortable and closed location. The patients were in an office, while the telephone interviews were conducted in quiet rooms. Only the interviewer and interviewee participated. The interview was audio-recorded with field notes taken. No repeat interviews were conducted.
Interview outline. The current state of patients is divided into pre-intention stage, intention stage and action stage according to the PACE questionnaire. In each stage, different questions are asked according to HAPA theory.
Directed content analysis was used for data analysis [24]. After face-to-face and telephone interviews with 24 patients, the data reached saturation. Within 24 hours after the interview, the researcher gradually converted the recordings into written materials that were then checked by another researcher. After the initial transcription, accuracy was ensured by repeatedly referring to the recording or by further communication with the participants. The materials were coded, sorted, and analyzed using NVivo 11 (QSR International Pty Ltd., Melbourne, VIC, Australia). Principles of confidentiality were strictly abided, and the interviewees were replaced by codes in the data analysis (P: Pre-intention stage; I: Intention stage; A: Action stage). The preliminary analysis was carried out by DNF. The research assistant checked the survey results and interview recordings and regularly discussed and reported with the research team members until a final consensus was reached.
Continuous variables are presented as mean
Informed written consent was collected from all participants in the study. The study was conducted in accordance with the Declaration of Helsinki [25] and was approved by the Medical Ethics Committee of the Tongji Medical College, Huazhong University of Science & Technology, China (approval number: TJ-IRB20191221).
Table 1 shows the patient demographics and relevant factors for AD according to
the different stages of behavior. A total of 24 AD patients who met the inclusion
criteria were included in the study. The mean age of patients was 49.67
Demographic information | Pre-intention stage (n = 9) | Intention stage (n = 7) | Action stage (n = 8) | F/t/ |
p | |
Age (years), mean |
55.56 |
50.14 |
42.63 |
2.627 | 0.096 | |
Interview time interval (days), mean |
||||||
Face-to-face interview | 14.80 |
12.57 |
/ | 0.276 | 0.794 | |
Telephone interview | 405.25 |
/ | 495.75 |
–1.104 | 0.295 | |
Sex, n (%) | 1.138 | 0.720 | ||||
Male | 7 (77.8) | 6 (85.7) | 5 (62.5) | |||
Female | 2 (22.2) | 1 (14.3) | 3 (37.5) | |||
Marital Status, n (%) | / | / | ||||
Single | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||
Married | 9 (100.0) | 7 (100.0) | 8 (100.0) | |||
Divorced or widowed | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||
Occupational status, n (%) | 5.471 | 0.124 | ||||
Full-time work | 5 (55.6) | 7 (100.0) | 7 (87.5) | |||
Unemployed | 1 (11.1) | 0 (0.0) | 1 (12.5) | |||
Retired | 3 (33.3) | 0 (0.0) | 0 (0.0) | |||
Highest level of education completed, n (%) | 7.156 | 0.315 | ||||
Primary school | 3 (33.3) | 1 (14.3) | 1 (12.5) | |||
Junior high school | 4 (44.4) | 4 (57.1) | 1 (12.5) | |||
High school | 1 (11.1) | 2 (28.6) | 3 (37.5) | |||
College and above | 1 (11.1) | 0 (0.0) | 3 (37.5) | |||
Living alone, n (%) | 1 (11.1) | 0 (0.0) | 0 (0.0) | 1.683 | 1.000 | |
Residential address, n (%) | 5.250 | 0.295 | ||||
Urban district | 1 (11.1) | 1 (14.3) | 4 (50.0) | |||
Town | 3 (33.3) | 2 (28.6) | 3 (37.5) | |||
Countryside | 5 (55.6) | 4 (57.1) | 1 (12.5) | |||
Length of stay (days), mean |
25.67 |
17.00 |
16.88 |
11.841 | 0.560 | |
History of previous cardiac surgery, n (%) | 7 (77.8) | 1 (14.3) | 3 (37.5) | 6.417 | 0.043 | |
Classification of aortic dissection, n (%) | 0.393 | 1.000 | ||||
Type A aortic dissection | 4 (44.4) | 4 (57.1) | 4 (50.0) | |||
Type B aortic dissection | 5 (55.6) | 3 (42.9) | 4 (50.0) | |||
Type of operation, n (%) | 1.712 | 0.504 | ||||
Interventional therapy | 6 (66.7) | 3 (42.9) | 6 (75.0) | |||
Surgical operation | 3 (33.3) | 4 (57.1) | 2 (25.0) | |||
Past history, n (%) | ||||||
Hypertension | 6 (66.7) | 5 (71.4) | 5 (62.5) | 0.303 | 1.000 | |
Heart disease | 2 (22.2) | 0 (0.0) | 2 (25.0) | 1.939 | 0.502 | |
Kidney disease | 1 (11.1) | 0 (0.0) | 0 (0.0) | 1.683 | 1.000 | |
Lung disease | 2 (22.2) | 1 (14.3) | 0 (0.0) | 1.872 | 0.609 | |
Digestive system diseases | 2 (22.2) | 1 (14.3) | 0 (0.0) | 1.872 | 0.609 | |
Obesity | 0 (0.00) | 1 (14.3) | 0 (0.0) | 2.185 | 0.292 | |
Other | 0 (0.00) | 1 (14.3) | 0 (0.0) | 2.185 | 0.292 | |
Medications, n (%) | ||||||
Statin | 4 (44.4) | 4 (57.1) | 6 (75.0) | 1.639 | 0.515 | |
Aspirin | 2 (22.2) | 2 (28.6) | 2 (25.0) | 0.327 | 1.000 | |
Warfarin | 1 (11.1) | 1 (14.3) | 2 (25.0) | 0.819 | 0.810 | |
Antihypertensives | 9 (100.0) | 6 (85.7) | 7 (87.5) | 1.614 | 0.511 | |
Other antiplatelet agents | 1 (11.1) | 0 (0.0) | 0 (0.0) | 1.683 | 1.000 | |
Type of interview, n (%) | 16.000 | |||||
Face-to-face | 5 (55.6) | 7 (100.0) | 0 (0.0) | |||
Telephone | 4 (44.4) | 0 (0.0) | 8 (100.0) | |||
Patient classification, n (%) | 22.690 | |||||
In-patients without a history of cardiac surgery | 1 (11.1) | 6 (85.7) | 0 (0.0) | |||
In-patients with a history of cardiac surgery | 6 (66.7) | 1 (14.3) | 0 (0.0) | |||
Discharged patients without a history of cardiac surgery | 1 (11.1) | 0 (0.0) | 5 (62.5) | |||
Discharged patients with a history of cardiac surgery | 1 (11.1) | 0 (0.0) | 3 (37.5) | |||
Note: the interview time interval was classified into two groups according to the type of interview. In-patients (i.e., face-to-face interviewers) were analysed according to the difference between the interview date and operation date, while discharged patients (i.e., telephone interviews) were analysed according to the difference between the interview date and the discharge date. |
Total number (n = 24) | Pre-intention stage (n = 9) | Intention stage (n = 7) | Action stage (n = 8) | p | |||
Risk perception, n (%) | 11 (45.8) | 7 (77.8) | 4 (57.1) | 0 (0.0) | 11.249 | 0.003 | |
Positive outcome expectations, n (%) | 18 (75.0) | 3 (33.3) | 7 (100.0) | 8 (100.0) | 11.386 | 0.001 | |
Negative outcome expectations, n (%) | 5 (20.8) | 5 (55.6) | 0 (0.0) | 0 (0.0) | 8.526 | 0.005 | |
Action self-efficacy, n (%) | 9 (37.5) | 0 (0.0) | 4 (57.1) | 5 (62.5) | 9.187 | 0.008 | |
Intentions, n (%) | 11 (45.8) | 0 (0.0) | 5 (71.4) | 6 (75.0) | 12.773 | 0.001 | |
Implementation intention | |||||||
Action planning, n (%) | 12 (50.0) | 0 (0.0) | 4 (57.1) | 8 (100.0) | 18.562 | ||
Coping planning, n (%) | 2 (8.3) | 0 (0.0) | 0 (0.0) | 2 (25.0) | 3.000 | 0.178 | |
Maintenance self-efficacy, n (%) | 13 (54.2) | 0 (0.0) | 5 (71.4) | 8 (100.0) | 19.438 | ||
Recovery self-efficacy, n (%) | 1 (4.2) | 0 (0.0) | 0 (0.0) | 1 (12.5) | 1.918 | 0.625 | |
Barriers, n (%) | 11 (45.8) | 4 (44.4) | 3 (42.9) | 4 (50.0) | 0.247 | 1.000 | |
Promoting factors, n (%) | 12 (50.0) | 3 (33.3) | 4 (57.1) | 5 (62.5) | 1.650 | 0.589 |
In the motivation phase constructs, individuals move from no behavior intention to the formation of behavioral intention and finally to take action. Table 3 shows some of the views of patients at different stages with regard to risk perception, outcome expectation, action self-efficacy and intention. These all appear in patients at the pre-intention, intention and action stages.
Theme | Codes | Sample quotes |
Risk perception | Worried about recurrence of disease | “I’m really afraid this disease will recur again. Over four years, I have suffered three times because of this disease. I felt burdened because I was sick soon after my second child was born (…).” (Participant P2) |
Worried about the postoperative pain | “Before I was sent to hospital, I felt severe pain in my chest and back, and a sense of dying. Although the operation had been done, I still felt very painful. The doctor told me to get out of bed and walk around, but I didn’t dare. This was a feeling I had never felt before.” (Participant P5) | |
Worried about the impact on life and finances | “I have undergone thoracotomy. Now I dare not get out of bed. My daily life needs are taken care of by my family (…) I am very worried that I can’t return to normal life after the operation.” (Participant P5) | |
“The disease really costs a lot of money, my family has lost financially because I was ill (…) (Sighs, and turns to the interviewers) It will cost a lot of money if I go to rehabilitation training, I don’t think I can afford it.” (Participant P7) | ||
Worried about the recovery after operation | “We all know the operation is very risky. The doctors said the recovery after discharge was very important. I’m still a bit worried because I don’t know much about the rehabilitation. (…) I’m old, and I’m afraid of accidents when I go out for a walk.” (Participant I1) | |
Afraid of accidents during exercise | ||
Positive outcome expectations | Perceived benefits | “I can keep fit through some low and medium intensity exercise, which is good for my health.” (Participant I2) |
Positive emotions | “After I was just discharged from hospital, I felt a bit depressed. Later, I began to do public square dancing. I made many friends of the same age as me, and my mood began to improve.” (Participant A3) | |
Self-confidence | “Just after the operation, I was worried that my body would be limited because I had always liked doing sport before. But after recovering for some time, I could walk more than 10000 steps each day. Most of my life was the same as before, which increased my self-confidence.” (Participant A6) | |
Family benefits | “My wife was also very happy to see that I increased my activity each day.” (Participant A4) | |
Negative outcome expectations | Make great efforts | “I’ve been in the hospital for a long time. Before I was hospitalized, I didn’t exercise much because of my work. I think exercising requires me to push myself and consumes a lot of time and energy.” (Participant P1) |
Accidents | “The disease began suddenly and was a great blow to me. I’m not sure if there will be accidents during exercise, which I’m afraid of.” (Participant P4) | |
Increase family concerns | “My family has been worried about my illness and recovery. If I go to exercise, I think it will increase their worry.” (Participant P3) | |
Feel a sense of loss | “I feel my body is much worse than before I was ill (…) I will feel a sense of loss if my ability to exercise does not reach the expected level.” (Participant P6) | |
Action self-efficacy | High action self-efficacy | “It’s a blow for me to suddenly get sick. I didn’t like doing sport before. My wife would ask me to go out for a walk but I didn’t listen to her (…) but now I know that taking a walk every day is good for my body and mind, so I’m confident I can stick with this after discharge.” (Participant I3) |
Low action self-efficacy due to lack of Effort, poor compliance and other reasons | “I’m really afraid of pain, so I don’t have the confidence to try (…).” (Participant P5) | |
Intentions | Lack of exercise intention due to symptoms of discomfort, lack of confidence, poor compliance, overprotection | “I feel chest tightness and poor breathing as soon as I move (…).” (Participant P3) |
“After being in hospital for such a long time, I feel that my body is not like before, and I haven’t recovered well (…). I don’t have the self-confidence to begin exercising, so I haven’t started to think about it now.” (Participant P1) | ||
“I think I’m recovering well now. I don’t think I need to exercise. My family also told me not to over exercise. I think it’s good to sit (…) Now I just sit and play mahjong for four hours every day.” (Participant P6) | ||
The patients in pre-intention stage: P1, P2, P3 … The patients in intention stage: I1, I2, I3 … The patients in action stage: A1, A2, A3 … |
Risk perception refers to the overall evaluation of the potential severity and
controllability of the disease, as well as the possibility that patients with AD
are at risk for recurring events upon exercise participation [26]. The results
showed that AD patients in the pre-intention stage were more likely to express
risk perception, and that patients in the action stage had less risk perception
(post-hoc test, p
Outcome expectations indicate a comprehensive balance of the possible
consequences of exercise in patients with AD, including positive outcome
expectations as well as negative outcome expectations [27]. Patients in the
pre-intention stage were more likely to express negative results for exercise,
while patients in the action stage tended to express positive results (post-hoc
test, p
Action self-efficacy refers to the patients’ confidence in their own ability
when they begin exercise [28]. There was a large difference in action
self-efficacy between patients in the pre-intention stage compared to the other
two groups. The action self-efficacy of patients in the pre-intention stage was
often low (post-hoc test, p
Patients in the pre-intention stage were found to often lack the intention of
exercise, while patients in the action stage have a clear intention to
participate in physical activities and to exercise (post-hoc test,
p
In the volitional phase constructs, individuals make plans, overcome the difficulties encountered in action and adjust themselves, so as to adhere to action and finally develop healthy behavior. Patients in the pre-intention stage had not yet experienced the volitional phase. Therefore, this stage only focused on patients in the intention stage and action stage. Table 4 shows some patient views with regard to implementation intention, maintenance self-efficacy and recovery self-efficacy.
Theme | Codes | Sample quotes |
Implementation intention | Action planning | “I plan to go for a one hour walk each morning and evening. Next to my house is the road. I’m going to be there.” (Participant I2) |
“I jog every morning for about 30–40 minutes (…).” (Participant A2) | ||
“The doctor said that walking was good for cardiopulmonary function. I definitely want to go for a walk, but I have no plan at present because I’m not sure about the time, frequency and intensity (…).” (Participant I4) | ||
Coping and planning: recording, finding new ways | “I’m busy with my work (…) There is a health log APP. I record it every day, so I won’t forget.” (Participant A4) | |
“Sometimes when the weather is bad, I will go to the indoor stadium for a walk.” (Participant A2) | ||
Maintenance self-efficacy | Positive feedback | “I don’t have to do farm work after discharge, so I have plenty of time to go for a walk every day (…) I am very confident that I can stick to this.” (Participant I7) |
“I feel very comfortable going for a jog every morning. If I stop one day, I may not adapt.” (Participant A2) | ||
Worry they can’t stick to it | “The doctor said that I should lose weight, so I should start to exercise slowly after discharge. But I think it will be hard to lose weight (…).” (Participant I6) | |
Recovery self-efficacy | Only one patient experienced a period of interrupted exercise due to a business trip | “I went on a business trip for a while and didn’t exercise after coming back, so I sat almost all the time, including at work (…) My wife would often remind me that it was time to exercise. Now I’m going back to my regular activities, and I feel good (…).” (Participant A4) |
The patients in pre-intention stage: P1, P2, P3 … The patients in intention stage: I1, I2, I3 … The patients in action stage: A1, A2, A3 … |
Implementation intention includes action planning and coping planning [29].
Action planning for patients in the pre-intention stage had not been developed,
whereas patients in the action stage had a clear action plan (post-hoc test,
p
Maintenance self-efficacy refers to the optimistic belief of patients with AD in
coping with difficulties during maintenance exercise [19]. The maintenance
efficacy of patients in the pre-intention stage was found to be lower, while
patients in the action stage had higher maintenance self-efficacy (post-hoc test,
p
Recovery self-efficacy refers to the ability of AD patients to overcome obstacles when they do not carry out the exercise plan on schedule [30]. Most patients in the intention and action stages claimed that the biggest task after discharge was to take care of their body and they would always adhere to appropriate activities. Only one of the 24 patients experienced a period of interrupted exercise, but they then overcame the obstacles and resumed regular exercise.
In addition to the above constructs, HAPA also recognizes that barriers and facilitators can also affect an individual’s behavioral intention [31]. Table 5 shows some views of patients at different stages on barriers and promoting factors of exercise.
Theme | Codes | Sample quotes |
Barriers | Finances | “This operation cost our family a lot of money. Originally, my family was from the countryside (…) Now that I have time to do some farm work and earn more money, there is no time to exercise.” (Participant P7) |
Attitudes of family members | “I am usually at home alone, and my children work outside. They do not like that I go out alone for a walk, for fear of accidents (…).” (Participant P9) | |
Environmental factor | “Sometimes when it rains or snows, I don’t want to go out and I prefer to watch TV at home (…).” (Participant A3) | |
Promoting factors | Personal interest | “I usually like to exercise because it can improve my mood. Sometimes I feel like going for a long walk and even though I feel a little uncomfortable, I believe I can do it.” (Participant A5) |
Support from others | “I also have friends around me who have this disease. We have arranged to go for a walk after I leave the hospital.” (Participant I5) | |
“I have been hospitalized three times. Each time my husband has given me a lot of support. He encouraged me to walk slowly until I could walk on my own (…) Now my situation is getting better each day and so I really appreciate his support.” (Participant A6) | ||
Encouragement of medical staff | “The doctor encouraged me to get out of bed and to walk as soon as I felt better (…) He also suggested that I do some low to moderate intensity exercise after I leave the hospital and he encouraged me to lose weight.” (Participant I6) | |
“I added the doctor’s WeChat contact information, so that he could give me some guidance.” (Participant P4) | ||
The patients in pre-intention stage: P1, P2, P3 … The patients in intention stage: I1, I2, I3 … The patients in action stage: A1, A2, A3 … |
Almost half of patients (11/24, 45.8%) described the presence of barriers to exercise: (1) financial problems, (2) attitudes of family members, and (3) environmental factors. Three out of 11 patients expressed great concern about financial problems. The families of three out of 11 patients thought that accidents might occur during exercise and thus did not support it. Weather conditions were also factors that stopped patients from carrying out exercise.
Half the patients (12/24) expressed that various promoting factors increased their ability to support exercise participation, including (1) personal interest, (2) support from other patients and from their families, and (3) the encouragement of medical staff. The patients’ enthusiasm and mental state also affected their desire to participate in exercise. Two out of 12 patients indicated that the support of other patients could promote their compliance for physical activities. Three out of 12 patients expressed that family support is very important. The professional advice of medical staff also directly affected the enthusiasm and compliance of patients to participate in sports.
This is the first qualitative study to explore the attitudes and behavioral intentions of AD survivors towards exercise. The following aspects were addressed: (1) use of the PACE questionnaire to classify the current stage of patients, (2) the use of HAPA theory to outline and conduct qualitative interviews, (3) comparison of the differences in HAPA constructs between patients from different stages.
Among the 24 participants interviewed, 9 (37.5%) were in the pre-intention stage, 8 (33.3%) were in the intention stage, and 7 (29.2%) were in the action stage. In a study by Chaddha et al. [14], 62/82 (76%) of AD survivors participated in structured physical activity, which was a higher rate than in our study. Our current study included both in-hospital patients and discharged patients. Most of the hospitalized patients were still in the recovery stage and therefore rarely able to participate in exercise behavior. This may explain the difference in exercise participation rate between our study and that of Chaddha et al. [14]. Interestingly, we found that in-patients without a history of cardiac surgery showed a preference for the intention stage, whereas in-patients with a history of cardiac surgery showed a preference for the pre-intention stage. Therefore, medical staff should pay close attention to in-patients with a history of cardiac surgery. They should carefully explain health education to them, explain the benefits of exercise on the cardiovascular system, inform them of any precautions for exercise after discharge, and promote behavior intention and progress to the intention and action stages.
The present study found that AD survivors in the pre-intention and intention stages expressed more risk perception and concerns about the adverse effects of disease, including recurrence, pain, the impact on life and finances, postoperative rehabilitation and accidents during exercise. This was consistent with the findings of Chadha’s study, in which 76% of AD patients believed the disease had a negative impact on their lives [9]. New dissection, organ ischemia, aneurysm formation or rupture may occur after AD operation [1, 32, 33]. Depression and anxiety were more common in AD survivors than in other heart disease survivors [9]. Chaddha et al. [14] also pointed out that fear was the main reason that most survivors limited their activities.
Of interest, the results also showed that outcome expectations were different for different stages. Action stage patients often had more positive outcome expectations, while pre-intention stage patients had more negative outcome expectations. Previous studies have reported that outcome expectations play a significant role in predicting behavioral intention, mainly in the intention formation stage. The more positive expectations an individual has about taking a certain health promotion behavior or giving up a certain health hazard behavior, the more favorable the formation of behavior intention [27].
We also explored the reasons underlying different intention performance for different stages. The reasons why exercise was often not considered in the pre-intention stage included discomfort, lack of self-confidence, poor compliance and family overprotection. This was consistent with the findings of other related studies [34, 35]. Implementation intention is the further concretization of intention [36] and can promote the effective transformation from intention to actual behavior [29]. In the intention and action stages of AD patients, the main exercise methods are walking, fitness, square dancing and jogging. However, some patients in the intention stage were unable to organize the frequency, time and intensity of exercise. Surprisingly, only 2 of the 24 patients in this study had coping plans. Previous studies have shown that exercise is safe for patients with AD and there are no serious complications [12, 37, 38, 39]. However, there is still a lack of guidance regarding the appropriate level, type, frequency, intensity, and duration of physical activity. Therefore, it seems timely to establish guidelines based on the available data for exercise in AD patients. This should provide some guidance to physicians and patients for organizing and performing exercise after an AD event.
Self-efficacy can be divided into action self-efficacy, maintenance self-efficacy and recovery self-efficacy [28]. Self-efficacy can predict behavioral intention, as well as predicting behavior change in the next stage [30]. This study showed that action self-efficacy was present in all three stages, whereas the structure of maintaining self-efficacy and recovery self-efficacy existed only in the intention and action stages. A previous study found that self-efficacy can affect the choice of activities, the level of effort and perseverance in the face of difficulties [40]. The current finding also suggests that regardless of the type of self-efficacy, the action stage tended to show more positivity and thus higher exercise compliance.
Various barriers were expressed in this study, including the lack of time and opportunity to exercise, concern about accidents, and bad weather preventing outdoor exercise. Previous studies have reported that illness or injury, work commitments, and poor weather are key barriers to exercise [41, 42]. In contrast, favorable factors for the promotion of exercise behavior included personal interest, support from others, and encouragement by medical staff. The recommendation by medical staff was previously identified as an important factor to improve the behavior compliance of patients [43, 44]. Our research also found that the attitude of family members can have a significant positive impact on the enthusiasm and compliance of patients to participate in exercise. Conversely, however, family members may also hinder exercise behavior.
This study explored the attitude and behavior intention of AD patients in
different behavior stages based on HAPA theory. In-patients with a history of
cardiac surgery showed a preference for the pre-intention stage. Moreover,
patients from different stages had different structures. For example, AD patients
in the pre-intention stage were more likely to express risk perception and have
negative results for exercise. The self-efficacy of this group was often low and
lacking in exercise intention and clear action plans (post-hoc test,
p
DNF—conception of the study, major drafting of the work, final approval and agreeing to the accuracy of the work. SFH—conception of the study, help in design of the study, drafting of the work, final approval and agreeing to the accuracy of the work. XRL—supervision, critical revision of the manuscript, final approval and agreeing to the accuracy of the work. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript.
Informed written consent was collected from all participants in the study. The study was conducted in accordance with the Declaration of Helsinki and was approved by the Medical Ethics Committee of the Tongji Medical College, Huazhong University of Science & Technology, China (approval number: TJ-IRB20191221).
Thanks to all the peer reviewers for their opinions and suggestions.
This research was funded by National Natural Science Foundation of China, grant number: Project 71874063.
The authors declare no conflict of interest.