Literature DB >> 30718622

Baduanjin exercise intervention for community adults at risk of ischamic stroke: A randomized controlled trial.

Guohua Zheng1,2, Bai Chen2, Qianying Fang2, Qiu Lin3, Jing Tao4, Lidian Chen5.   

Abstract

The aim of current study was to assess the effects of Baduanjin exercise on cerebrovascular function, cardiac structure and cardiac function, static pulmonary function, traditional risk factors of CVD and the related psychological outcomes in older community adults at risk for ischaemic stroke. A randomized controlled trial was conducted in three community between November 2013 and October 2015. Older community-dwelling adults (N = 170) were randomly allocated into either a Baduanjin training (5 × 60 min/weekly) or control group who kept their unaltered lifestyle during a 12-week intervention period. Primary (cerebral haemodynamic parameters) and secondary outcomes (cardiac structure, cardiac function, static pulmonary function, traditional risk factors and the related psychological outcomes) were measured at baseline, after a 12-week intervention period and after an additional 12-week follow-up period. After the 12-week intervention period and additional 12-week follow-up period, the Baduanjin exercise group displayed significant changes in most cerebral haemodynamic parameters compared to the control group: lower systolic blood pressure, diastolic blood pressure, plasma total cholesterol levels, waist circumference, hip circumference and waist/hip ratio; and improved mood, self-confidence, self-esteem, quality of life and sleep quality. A supervised 12-week Baduanjin exercise intervention was effective and safe in modulating cerebral haemodynamics, reducing blood pressure and improving anthropometric parameters and related psychological outcomes in older community adults at risk for ischaemic stroke.

Entities:  

Mesh:

Year:  2019        PMID: 30718622      PMCID: PMC6362011          DOI: 10.1038/s41598-018-37544-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Ischaemic stroke remains the leading cause of long-term disability in adults worldwide[1]. Although age-standardized mortality of stroke have decreased around the world in the past twenty years, the absolute number of people suffering from stroke is increasing, and its impact is likely to dramatically increase in the future because of the ageing population and health transitions observed in developing countries[2,3]. Currently, no country in the world has exhibited a substantial reduction in stroke burden in terms of the absolute number of people affected by and/or dying from stroke. This implies that it is important to make efforts to prevent stroke, particularly the establishment of effective primary prevention strategies for older community adults. Studies have demonstrated that stroke and most other cardiovascular diseases can be prevented[4]. The most effective means available for stroke prevention involve the control of modifiable risk factors[5,6]. According to the INTERSTROKE study, ten risk factors, including vascular risk factors, unhealthy diet and physical inactivity, account for 90% of the population-attributable risk of stroke, and most of them are modifiable risk factors[7,8]. It is well known that more than 50% of strokes could be prevented through the control of modifiable risk factors[9]. Even so, their preventive mechanisms remain unclear, which may limit the efficacy of primary prevention. In terms of aetiology, the direct cause of ischaemic stroke is associated with intracranial atherosclerotic stenosis and the disruption of atherosclerotic plaques with subsequent thromboembolism[10]. The downstream cerebral haemodynamic changes and the cerebrovascular reserve may play an important role[11]. For example, the narrowing cerebral vasculature resulting from cerebral intracranial atherosclerosis can cause a reduction in cerebral perfusion pressure (CPP), and the subsequent autoregulation of the vasculature will maximally dilate the cerebral arterioles to maintain cerebral blood flow (CBF). However, with the further reduction in CPP and the maximally dilated arterioles, CBF will also decrease and potentially increase the risk of stroke[12]. Therefore, cerebral haemodynamic impairment is considered an important pathophysiological mechanism involved in ischaemic stroke. CBF depends on arterial blood pressure, cerebrovascular resistance, and the distribution of cardiac output. CBP is rigorously regulated by a set of mechanisms that include cerebral autoregulation, neurovascular coupling and cerebrovascular carbon dioxide and oxygen reactivity to safeguard the balance of cerebral metabolic demand and supply[13,14]. Studies have suggested that an increase in cerebrovascular resistance and a decrease in CPP could cause a reduction in cerebral blood flow[15], whereas a slight alteration in cardiac output could also lead to changes in CBF despite blood pressure remaining stable or within the autoregulatory range[16]. Generally, traditional risk factors of ischaemic stroke, such as ageing, hypertension, diabetes, and lipid disorders, are associated with these conditions. For example, diabetes is associated with an increased risk of cerebral autoregulation dysfunction, whereas poorly controlled hypertension is related to a decline in CBF[17,18]. Normal ageing is linked to marked structural and functional alterations in the cerebrovascular system[19]. Recent studies have indicated that an estimated 30% of older community adults over 65 years old suffer from intracranial atherosclerotic stenosis (ICAS), as determined by magnetic resonance angiography[20], and that more than 90% of individuals with ICAS have at least one vascular risk factor of cardiovascular disease (CVD)[21]. Therefore, controlling traditional cardiovascular risk factors and their appropriate treatment are vital to establishing primary preventive strategies of stroke by improving the direct aetiology of ischaemic stroke. Current evidence clearly shows that exercise or physical activity is an effective intervention for preventing ischaemic stroke or other cardiovascular diseases. Therefore, the American Heart Association (AHA) and American College of Cardiology (ACC) recommend that adults should participate in at least 3 sessions of aerobic physical activity of moderate or vigorous intensity lasting an average of 40 minutes each week[22,23]. However, fewer than 50% of adults, particularly adults over the age of 60, achieve this recommendation despite the broad recognition of its benefits[24]. As one of the traditional Chinese Qigong exercises, Baduanjin exercise consists of eight separate, delicate and smooth movements; it is a low-moderate intensity mind-body exercise that has been practised in China for hundreds of years[25]. Current studies have suggested that Baduanjin training appears to have substantive benefits for older adults and is an appropriate exercise for older community people[26,27]. Many significant improvements have been reported in balance, strength and flexibility as well as in sleep quality and psychological and mental health[28-30]. Recently, an increasing number of studies have demonstrated the benefits of regular Baduanjin practise in reducing blood pressure, insulin resistance and blood glucose levels as well as in controlling traditional CVD risk factors[31-33]. However, the effects of Baduanjin exercise on the aetiology of ischaemic stroke, such as cerebral haemodynamics in older community people, have not been studied yet. The aim of this study was to conduct a randomized controlled trial to examine the effects of Baduanjin exercise on cerebrovascular functions, cardiac structure and function, static pulmonary function, physical fitness, traditional risk factors of CVD, quality of life and sleep quality in older community adults at risk for ischaemic stroke.

Methods

Design and Setting

This study was a two-armed, randomized, assessor-blinded, parallel controlled trial with computer-generated randomization and the concealed allocation. It was conducted between November 2013 and October 2015 in three community centres (Wufeng, Fengdanbailu, and Chuntian) in Fuzhou, China. The participants were randomly allocated to either a Baduanjin training group or usual physical activity group at a 1:1 ratio. Ethics approval was obtained from a local ethics committee in the Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine (No. 2013-021-02). This study was performed in accordance with the Declaration of Helsinki. The trial has been registered in the Chinese Clinical Trial Registry (ChiCTR-TRC-13003588). The design of this study was described in further detail in the published study protocol[34].

Participants

The participants were at a high risk of ischaemic stroke according to the “2012 annual screening and intervention project workbook for population with high risk of stroke”[35]. To be eligible, participants had to be aged 50 to 75 years and not have regularly exercised for at least one year (regular exercise was defined as one exercise that is practised for 30 minutes or longer each time at least three times per week for more than 3 months). Participants were excluded if they suffered from severe cerebrovascular diseases, musculoskeletal system diseases or other sport contraindications or if they had a history of stroke or a communication disorder. The trial was advertised by posters or leaflets or by establishing a free clinic at the community centres. The community adults who were interested in this trial were assessed by two trained research assistants in the lounge room based on the eligibility criteria, and they were informed regarding the overall design of this study. If the subjects were eligible and agreed to participate, their baseline measurements were acquired after signing the written informed consent.

Practiced the Baduanjin exercise and practiced Baduanjin form

Participants in the Baduanjin training group gathered in their community centres and practised the Baduanjin exercise that originated from the “Health Qigong Baduanjin Standard” established by the State Sports General Administration in 2003[36]. Two certified instructors instructed and supervised their training. The training programme was comprised of 60 minutes per session with five sessions per week for 12 weeks. Each session consisted of 45 minutes of Baduanjin form, a 10-minute warm-up and a 5-minute cool-down. Two research assistants managed the training spot and recorded the participants’ attendance. The participants in the control group were informed to maintain their usual physical activity during the 12-week intervention period. Following the 12-week intervention period, participants of both the Baduanjin training and control groups entered an additional 12-week unsupervised follow-up period in which no additional exercise intervention was administered to any participant. In addition, all participants were asked to keep a daily diary of physical activity level during the 12-week intervention period and the additional 12-week follow-up period. The physical activity level was assessed by using self-reported form, in which the duration and intensity of physical activity for each individual in a whole day was classified into three sections including the duration of low-intensity activity (e.g. walking, drop around, walk the dog), the duration of moderate-intensity activity (e.g. brisk walking, square dances, housework), and duration of high-intensity activity (jogging, play ball, swimming).

Measures

The primary and secondary outcomes were assessed at baseline (−2 to −1 week), the end of the intervention (13 weeks) and the end of the additional 12-week follow-up period (25 weeks). All measurements were performed by the professional operators who did not know the allocation group at the Fujian University of Traditional Chinese Medicine Subsidiary Rehabilitation Hospital. The primary outcomes of this trial were cerebrovascular function, consisting of cerebral haemodynamics and cerebrovascular elasticity. Cerebral haemodynamics was expressed by the maximum blood flow velocity (BFVmax), minimum blood flow velocity (BFVmin) and mean blood flow velocity (BFVmean) parameters, whereas cerebrovascular elasticity was expressed using the vascular pulsatility index (PI, calculated using following formula: (peak systolic velocity - end-diastolic velocity)/mean flow velocity)) and the vascular resistance index (RI, calculated by following formula: (peak systolic velocity – end-diastolic velocity)/end-diastolic velocity)). Those variables were measured in nine main cerebral arteries, including the bilateral vertebral artery (VA), bilateral middle cerebral artery (MCA), bilateral anterior cerebral artery (ACA), bilateral posterior cerebral artery (PCA) and basilar artery (BA), using a colour Doppler ultrasound imaging device (Philips, product type: IU22). The secondary outcomes were cardiac structure and cardiac function, static pulmonary function, traditional risk factors of CVD and psychological outcomes. Cardiac structure and cardiac function were measured using the colour Doppler ultrasound imaging device (product type: SIEMENS Acuson X300). Static lung function was measured using cardiopulmonary function instruments (JAEGER, Germany, product type: OXYCON PRO PC). Traditional risk factors of CVD include blood pressure, heart rate, plasma indicators and anthropometric measurements. The blood pressure was measured manually by the professional staff at the hospital. The plasma indicators of CVD include blood lipid and fasting blood glucose, which were measured quantitatively using an automatic analyser according to the specifications of the fasting period using kit (Rongshen, Shanghai) and enzymatic method (NSA-400, Shenyang). The anthropometric measurements include body mass index (BMI, calculated by weight (kg)/height (m2)), waist circumference, hip circumference and waist-to-hip ratio (waist circumference (cm)/hip circumference (cm)), which were measured using a body scale for BMI and a metric ruler for waist circumference and hip circumference. The related psychological outcomes, including mood, self-confidence and self-esteem, quality of life and sleep quality, were assessed using the Brief Profile of Mood States (BPOMS), the Rosenberg Self-Esteem Scale, the Chinese version of the Social Functioning 36 (SF-36) scale and the Pittsburgh Sleep Quality Index (PSQI), respectively.

Sample Size and Statistical Analysis

A priori sample size calculation was based on an anticipated 10% improvement in cerebral haemodynamic parameters among participants undergoing the 12-week Baduanjin training compared to those in the control group. 85 participants per group was determined a priori based on a 1:1 treatment allocation, considering the target effect size detected, a significance level of 0.05 (type I error), an analysis power of 90% (type II error of 0.10), and a maximum loss to follow-up of 15%[34]. All statistical analyses were conducted by a blinded statistician using the IBM SPSS 21.0 (IBM Inc., Chicago, IL, USA) statistical software package. A two-sided p value of less than 0.05 was considered significantly different. Baseline characteristics between the two groups were analysed using the t test or the Mann-Whitney test for continuous variables and Pearson’s χ2 test for categorical variables. Using the linear mixed models based on the intention-to-treat (ITT) principle, a multiple analysis assessed the changes in cerebrovascular function, cardiopulmonary function, plasma traditional risk indicators of CVD, anthropometric measurements, quality of life, happiness, mood and sleep quality from baseline to the endpoint of the intervention or from baseline to the endpoint of follow-up between the Baduanjin group and the control group. The main between-group effect (2 levels: Baduanjin vs control) and interaction effect for group and time point (3 levels: baseline, 12 weeks and 24 weeks) were treated as fixed effects with time and a repeated fixed effect, whereas the participants were random variables. The baseline data and comparison group were used as the reference variable. A fully unstructured variance-covariance matrix was assumed for the error terms. Missing data were imputed using the multiple imputation method based on the Fully Conditional Specification (FCS) algorithm.

Results

Participant Characteristics at Baseline

Figure 1 outlines the flow of participants during the trial. Recruitment started on 1 November 2013 and was completed on 28 February 2014. A total of 2,263 older community adults were assessed for eligibility, and 2,093 individuals were excluded because of conflicts with the eligibility criteria or because they were unwilling to participate. In total, 170 eligible participants were randomized into either the Baduanjin training group or the usual physical activity control group with an equal allocation rate. The baseline characteristics were similar between groups (Table 1).
Figure 1

Participants flow through the study reported in a CONSORT diagram.

Table 1

Baseline demographic characteristics of participants between Baduanjin group and control group.

VariablesControl group (n = 85)Baduanjin group(n = 85)
Age, years (mean ± SD)59.75 ± 6.3460.53 ± 6.29
Gender (n, %)
Male31 (36.5)30 (35.3)
Female54 (63.5)55 (64.7)
Overweight * (n, %)
Yes56 (65.9)50 (58.8)
No29 (34.1)35 (41.2)
Smoking (n, %)
Yes15 (17.6)8 (9.4)
No70 (82.4)77 (90.6)
Diabetes (n, %)
Yes17 (20)17 (20)
No68 (80)68 (80)
Hypertension * (n, %)
Yes43 (50.6)46 (54.1)
No42 (49.4)39 (45.9)
Dyslipidemia * (n, %)
Yes67 (78.8)62 (72.9)
No18 (21.2)23 (27.1)
Fibrillation atrial(n, %)
Yes1 (1.2)4 (4.7)
No84 (98.8)81 (95.3)
Family history of stroke (n, %)
Yes32 (37.6)30 (35.3)
No53 (62.4)55 (64.7)
Transient ischemic attack(n, %)
Yes18 (21.2)18 (21.2)
No67 (78.8)67 (78.8)

*Definition: Overweight (BMI ≥ 25); hypertension (blood pressure ≥ 140/90 mmHg); dyslipidemia (TC ≥ 6.22 mmol/L, or TG ≥ 2.26 mmol/L, or LDL-C ≥ 4.14 mmol/L, or HDL-C ≤ 1.04 mmol/L).

Participants flow through the study reported in a CONSORT diagram. Baseline demographic characteristics of participants between Baduanjin group and control group. *Definition: Overweight (BMI ≥ 25); hypertension (blood pressure ≥ 140/90 mmHg); dyslipidemia (TC ≥ 6.22 mmol/L, or TG ≥ 2.26 mmol/L, or LDL-C ≥ 4.14 mmol/L, or HDL-C ≤ 1.04 mmol/L).

Compliance

Of the 170 participants who completed the baseline assessment, 168 (98.8%) performed the post-intervention evaluation, and 148 (87.1%) completed the 12-week follow-up. The dropout rate was significantly higher in the control group than in the Baduanjin training group according to Pearson’s Chi-square test (χ2 = 5.221, P = 0.04), but no significant difference was found in the baseline characteristics except for fibrillation atrial in between the subjects who dropped out in the study and the subjects who completed the whole study.

Daily Physical Activity During Study Period

Table 2 presents the daily physical activity between Baduanjin training group and control group during study period. The average duration of low intensity activity was not significantly different between the two groups during the study period. The average duration of moderate intensity activity in the Baduanjin exercise group was higher than that for the control group. No high intensity physical activity was reported during the study period.
Table 2

Comparison of the daily physical activities between groups during study period (hour, mean ± standard deviation).

Study periodIntensityControl groupBaduanjin groupT(Z)P value
nM ± SDnM ± SD
Intervention periodlow intensity843.62 ± 1.69843.61 ± 1.500.0480.962
Moderate intensity4.65 ± 1.885.81 ± 1.86−4.064<0.001
High intensity00//
Follow-up periodlow intensity693.54 ± 1.49793.50 ± 1.700.1680.867
Moderate intensity4.75 ± 1.815.54 ± 1.92−2.7540.007
High intensity00//

M: mean; SD: standard deviation.

Comparison of the daily physical activities between groups during study period (hour, mean ± standard deviation). M: mean; SD: standard deviation.

Cerebrovascular Haemodynamic Parameters

Table 3 presents the changes in haemodynamic parameters, including the maximum, minimum and mean blood flow velocities (BFVmax, BFVmin and BFVmean) and the PI and RI in the cerebral basilar arteries (BAs), bilateral vertebral arteries (LVA and RVA), bilateral anterior, and middle and posterior arteries (LAA, RAA, LMA, RMA, LPA and RPA) at baseline, at 12 weeks post-intervention and after an additional 12 weeks of follow-up. There was no significant difference in any parameters between the groups at baseline. Linear mixed models with repeated measures showed a significant interaction effect of group (intervention) by time in the PI and RI parameters for all the measured cerebrovascular arteries; in BFVmax for BA, RVA and LAA; and in BFVmin and BFVmean for the BA, LVA and RVA. A significant main effect of group in RI for BA; in BFVmax for LVA, and in BFVmean for RMA was observed. These results indicated a significant improvement in those cerebrovascular haemodynamic parameters in the Baduanjin exercise group compared with the control group. After the 12-week intervention, a significant difference between the groups was found in almost all parameters except for the RI in the BA and RMA, BFVmean in the RVA; BFVmax in the RMA; and BFVmax, BFVmix and BFVmin in the LAA, LMA and RPA. A significant difference between the groups was also determined in all the measured parameters except BFVmax in the RPA, BA and LVA; BAFmean and BAFmin in the RAA; and five haemodynamic parameters (BFVmax, BFVmin, BFVmean, PI and RI) in the LPA after the additional 12-week follow-up period. Furthermore, the differences showed that those parameters were significantly lower in the Baduanjin intervention group than in the control group (Table 3).
Table 3

Mean haemodynamic parameters of five cerebrovascular arteries at all time points.

VariablesTime pointsControlBaduanjinMean difference between comparison group (95% CI)P valueMixed linear model
NMean ± SENMean ± SEP-value (between-groups)P-value (Time × Group)
Basilar artery (BA)
BFVmax, cm/sBaseline8569.17 ± 3.018567.67 ± 1.581.49 (−4.69–7.67)0.660
12-weeks8567.96 ± 3.078560.50 ± 1.397.46 (0.79–14.13)0.028
24-weeks8564.95 ± 2.698559.27 ± 1.475.69 (−0.36–11.73)0.0650.1110.003
BFVmin, cm/sBaseline8563.42 ± 2.768562.33 ± 1.501.19 (−4.99–7.38)0.704
12-weeks8563.28 ± 3.018555.84 ± 1.337.44 (0.95–13.93)0.025
24-weeks8561.26 ± 2.508555.03 ± 1.416.23 (0.56–11.90)0.0310.0880.001
BFVmean, cm/sBaseline8566.38 ± 2.868565.05 ± 1.531.34 (−5.08–7.75)0.681
12-weeks8565.80 ± 3.048558.11 ± 1.357.69 (1.12–14.27)0.022
24-weeks8563.42 ± 2.548557.14 ± 1.476.29 (0.50–12.07)0.0330.0860.001
PI Baseline851.11 ± 0.22851.14 ± 0.22−0.04 (−0.10–0.03)0.265
12-weeks851.17 ± 0.03851.08 ± 0.020.08 (0.02–0.15)0.01
24-weeks851.14 ± 0.04851.04 ± 0.020.10 (0.017–0.188)0.0190.060<0.001
RI Baseline850.63 ± 0.01850.64 ± 0.01−0.01 (−0.03–0.01)0.291
12-weeks850.65 ± 0.01850.63 ± 0.010.03 (0.01–0.04)0.12
24-weeks850.64 ± 0.01850.61 ± 0.010.037 (0.01–0.06)0.010.045<0.001
Left vertebral artery (LVA)
BFVmax, cm/sBaseline8564.70 ± 4.478560.47 ± 1.744.23 (−5.23–13.70)0.379
12-weeks8561.31 ± 2.248554.79 ± 1.416.51 (1.29–11.74)0.015
24-weeks8559.19 ± 1.958554.59 ± 1.514.60 (−0.27–9.46)0.0640.0360.563
BFVmin, cm/sBaseline8555.60 ± 1.778555.46 ± 1.680.14 (−4.68–4.96)0.955
12-weeks8556.13 ± 2.188550.45 ± 1.365.68 (0.61–10.75)0.028
24-weeks8554.83 ± 1.668550.12 ± 1.414.71 (0.42–9.00)0.0320.1020.007
BFVmean, cm/sBaseline8558.02 ± 1.828557.92 ± 1.700.10 (−4.82–5.02)0.968
12-weeks8558.96 ± 2.218552.84 ± 1.406.11 (0.96–11.28)0.02
24-weeks8557.44 ± 1.698552.42 ± 1.455.02 (0.62–9.42)0.0260.0890.003
PI Baseline851.10 ± 0.024851.16 ± 0.022−0.06 (−0.12–0.07)0.079
12-weeks851.16 ± 0.02851.09 ± 0.020.073 (0.014–0.132)0.016
24-weeks851.15 ± 0.02851.05 ± 0.020.10 (0.04–0.16)0.0010.095<0.001
RI Baseline850.63 ± 0.008850.65 ± 0.007−0.02 (−0.04–0.02)0.069
12-weeks850.65 ± 0.007850.63 ± 0.0070.025 (0.005–0.043)0.013
24-weeks850.65 ± 0.008850.61 ± 0.0070.034 (0.013–0.055)0.0010.087<0.001
Right vertebral artery (RVA)
BFVmax, cm/sBaseline8560.92 ± 1.898559.89 ± 1.691.03 (−3.98–6.03)0.686
12-weeks8560.43 ± 2.168555.25 ± 1.345.18 (0.10–10.27)0.046
24-weeks8560.34 ± 1.788554.13 ± 1.466.21 (1.66–10.76)0.0080.0560.037
BFVmin, cm/sBaseline8555.31 ± 1.768554.70 ± 1.670.61 (−4.18–5.40)0.802
12-weeks8555.25 ± 2.118550.32 ± 1.344.93 (0.01–9.86)0.05
24-weeks8555.49 ± 1.708549.79 ± 1.435.70 (1.31–10.08)0.0110.0740.027
BFVmean, cm/sBaseline8558.11 ± 1.838557.35 ± 1.690.76 (−4.16–5.68)0.761
12-weeks8557.81 ± 2.138553.13 ± 1.374.68 (−0.32–9.67)0.066
24-weeks8557.83 ± 1.768552.04 ± 1.465.78 (1.27–10.30)0.0120.0830.039
PI Baseline851.10 ± 0.023851.18 ± 0.02−0.08 (−0.14–0.02)0.015
12-weeks851.20 ± 0.023851.10 ± 0.020.11 (0.05–0.17)0.001
24-weeks851.15 ± 0.03851.01 ± 0.020.14 (0.06–0.21)0.0010.021<0.001
RI Baseline850.63 ± 0.008850.65 ± 0.007−0.02(−0.04–0.01)0.016
12-weeks850.66 ± 0.007850.63 ± 0.0060.03 (0.013–0.053)0.001
24-weeks850.64 ± 0.009850.60 ± 0.0070.04 (0.02–0.07)<0.0010.022<0.001
Left anterior artery (LAA)
BFVmax, cm/sBaseline6985.74 ± 2.846989.58 ± 2.56−3.84 (−11.40–3.72)0.317
12-weeks6987.01 ± 2.316981.80 ± 2.075.21 (−0.92–11.34)0.095
24-weeks6985.55 ± 2.036979.88 ± 1.715.67 (0.42–10.93)0.0350.3190.048
BFVmin, cm/sBaseline6979.58 ± 2.806982.49 ± 2.55−2.91 (−10.40–4.58)0.443
12-weeks6981.45 ± 2.216975.98 ± 1.975.47 (−0.39–11.33)0.067
24-weeks6978.68 ± 1.796973.80 ± 1.674.88 (0.04–9.72)0.0480.2860.073
BFVmean, cm/sBaseline6982.64 ± 2.806986.10 ± 2.49−3.46 (−10.87–3.94)0.357
12-weeks6984.07 ± 2.236978.82 ± 1.995.24 (−0.66–11.15)0.067
24-weeks6982.54 ± 1.906976.79 ± 1.715.76 (0.70–10.81)0.0260.2750.052
PI Baseline691.03 ± 0.025691.06 ± 0.019−0.03 (−0.09–0.03)0.363
12-weeks691.09 ± 0.022691.00 ± 0.0180.09 (0.036–0.148)0.001
24-weeks691.06 ± 0.029690.91 ± 0.0210.15 (0.077–0.219)<0.0010.005<0.001
RI Baseline690.61 ± 0.009690.62 ± 0.006−0.01 (−0.03–0.01)0.371
12-weeks690.63 ± 0.007690.60 ± 0.0060.03 (0.012–0.049)0.001
24-weeks690.62 ± 0.01690.56 ± 0.0080.05 (0.026–0.079)<0.0010.005<0.001
Right anterior artery (RAA)
BFVmax, cm/sBaseline5888.88 ± 3.196487.55 ± 2.521.33 (−6.64–9.31)0.741
12-weeks5891.93 ± 2.546483.59 ± 2.108.35 (1.86–14.83)0.012
24-weeks5887.51 ± 1.906483.14 ± 1.664.37 (−0.60–9.34)0.0850.0690.135
BFVmin, cm/sBaseline5883.19 ± 3.146481.44 ± 2.501.75 (−6.12–9.62)0.660
12-weeks5886.19 ± 2.476478.29 ± 2.097.91 (1.54–14.27)0.015
24-weeks5881.92 ± 1.896477.45 ± 1.684.46 (−0.52–9.44)0.0790.0650.190
BFVmean, cm/sBaseline5885.78 ± 3.166484.80 ± 2.510.98 (−6.94–8.90)0.807
12-weeks5888.91 ± 2.466480.95 ± 2.117.96 (1.57–14.35)0.015
24-weeks5884.88 ± 1.946480.34 ± 1.674.54 (−0.50–9.58)0.0770.0780.144
PI Baseline581.06 ± 0.028641.06 ± 0.020−0.001 (−0.07–0.06)0.979
12-weeks581.11 ± 0.026641.01 ± 0.0190.10 (0.04–0.167)0.002
24-weeks581.00 ± 0.029640.91 ± 0.0180.09 (0.03–0.161)0.0050.010.009
RI Baseline580.61 ± 0.009640.62 ± 0.007−0.01 (−0.03–0.019)0.712
12-weeks580.64 ± 0.009640.60 ± 0.0070.035 (0.012–0.06)0.003
24-weeks580.60 ± 0.01640.56 ± 0.0070.04 (0.01–0.06)0.0060.0180.004
Left middle artery (LMA)
BFVmax, cm/sBaseline6899.18 ± 3.827297.07 ± 3.182.11 (−7.69–11.90)0.671
12-weeks6898.15 ± 3.137292.27 ± 2.835.89 (−2.43–14.21)0.164
24-weeks6896.79 ± 2.957289.28 ± 2.427.51 (0.01–15.02)0.050.1590.503
BFVmin, cm/sBaseline6893.07 ± 3.727289.39 ± 3.003.69 (−5.72–13.09)0.440
12-weeks6891.68 ± 2.997286.05 ± 2.795.63 (−2.45–13.71)0.170
24-weeks6890.66 ± 2.777282.91 ± 2.287.75 (0.69–14.82)0.0320.1090.660
BFVmean, cm/sBaseline6895.69 ± 3.717293.10 ± 3.022.59 (−6.81–11.99)0.586
12-weeks6895.51 ± 3.087289.30 ± 2.816.21 (−2.02–14.44)0.138
24-weeks6894.06 ± 2.877286.33 ± 2.377.74 (0.41–15.06)0.0390.1250.498
PI Baseline680.96 ± 0.026720.99 ± 0.019−0.03 (−0.09–0.03)0.347
12-weeks681.04 ± 0.023720.96 ± 0.0160.084 (0.029–0.139)0.003
24-weeks680.98 ± 0.027720.88 ± 0.0170.095 (0.033–0.157)0.0030.047<0.001
RI Baseline680.58 ± 0.009720.59 ± 0.007−0.017 (−0.04–0.006)0.146
12-weeks680.61 ± 0.008720.58 ± 0.0060.029 (0.01–0.047)0.003
24-weeks680.59 ± 0.009720.55 ± 0.0070.033 (0.01–0.056)0.0050.088<0.001
Right middle artery (RMA)
BFVmax, cm/sBaseline8595.51 ± 2.368592.37 ± 2.253.14 (−3.29–9.57)0.337
12-weeks8597.11 ± 2.178590.58 ± 1.916.53 (0.82–12.24)0.025
24-weeks8594.20 ± 1.818586.21 ± 1.637.99 (3.18–12.81)0.0010.0120.249
BFVmin, cm/sBaseline8588.75 ± 2.348585.80 ± 2.222.95 (−3.42–9.32)0.361
12-weeks8588.98 ± 2.048584.25 ± 1.914.73 (−0.78–10.25)0.092
24-weeks8586.34 ± 1.808579.64 ± 1.586.71 (1.99–11.43)0.0060.0220.446
BFVmean, cm/sBaseline8591.91 ± 2.358588.80 ± 2.233.11 (−3.29–9.51)0.339
12-weeks8593.98 ± 2.118587.10 ± 1.926.88 (1.25–12.51)0.017
24-weeks8590.35 ± 1.808583.74 ± 1.626.61 (1.83–11.40)0.0070.0170.360
PI Baseline850.94 ± 0.022851.00 ± 0.021−0.06 (−0.113–0.005)0.071
12-weeks851.03 ± 0.023850.96 ± 0.0190.06 (0.004–0.122)0.038
24-weeks850.94 ± 0.021850.87 ± 0.0210.07 (0.013–0.129)0.0170.057<0.001
RI Baseline850.57 ± 0.009850.59 ± 0.009−0.02 (−0.045–0.004)0.100
12-weeks850.60 ± 0.01850.58 ± 0.0080.017 (−0.01–0.04)0.182
24-weeks850.58 ± 0.009850.55 ± 0.0090.027 (0.002–0.051)0.0320.066<0.001
Left posterior artery (LPA)
BFVmax, cm/sBaseline6853.66 ± 1.346754.61 ± 1.37−0.95 (−4.75–2.85)0.621
12-weeks6854.36 ± 1.296750.71 ± 1.193.65 (0.16–7.14)0.041
24-weeks6854.32 ± 1.126751.50 ± 1.302.82 (−0.57–6.22)0.1030.1330.140
BFVmin, cm/sBaseline6848.71 ± 1.316749.15 ± 1.38−0.44 (−4.21–3.32)0.816
12-weeks6849.63 ± 1.256746.02 ± 1.083.61 (0.34–6.88)0.031
24-weeks6849.38 ± 0.976746.51 ± 1.212.87 (−0.19–5.94)0.0660.0880.182
BFVmean, cm/sBaseline6851.24 ± 1.326751.97 ± 1.38−0.74 (−4.51–3.04)0.701
12-weeks6851.94 ± 1.256748.59 ± 1.173.35 (−0.05–6.74)0.053
24-weeks6852.02 ± 1.016749.12 ± 1.172.90 (−0.15–5.95)0.0620.1220.177
PI Baseline681.03 ± 0.023671.06 ± 0.022−0.03 (−0.09–0.032)0.329
12-weeks681.13 ± 0.022671.03 ± 0.0190.092 (0.034–0.151)0.002
24-weeks681.02 ± 0.029670.95 ± 0.0220.07 (−0.001–0.141)0.0550.0740.003
RI Baseline680.61 ± 0.008670.62 ± 0.007−0.01 (−0.03–0.01)0.360
12-weeks680.64 ± 0.007670.61 ± 0.0070.03 (0.011–0.050)0.003
24-weeks680.60 ± 0.01670.58 ± 0.0080.023 (−0.002–0.048)0.0710.080.006
Right posterior artery (RPA)
BFVmax, cm/sBaseline5649.55 ± 1.576451.55 ± 1.59−1.99 (−6.44–2.45)0.376
12-weeks5651.71 ± 1.286449.90 ± 1.361.80 (−1.91–5.52)0.339
24-weeks5653.16 ± 1.296450.51 ± 1.162.66 (−0.78–6.09)0.1280.5470.200
BFVmin, cm/sBaseline5645.04 ± 1.536446.39 ± 1.53−1.36 (−5.67–2.96)0.535
12-weeks5646.92 ± 1.206444.85 ± 1.312.07 (−1.48–5.62)0.251
24-weeks5648.75 ± 1.296445.32 ± 1.063.43 (0.16–6.71)0.040.2980.179
BFVmean, cm/sBaseline5647.23 ± 1.556449.28 ± 1.57−2.05 (−6.44–2.24)0.357
12-weeks5649.66 ± 1.286447.46 ± 1.302.20 (−1.44–5.83)0.233
24-weeks5650.90 ± 1.256447.88 ± 1.083.03 (−0.23–6.28)0.0680.4290.134
PI Baseline561.04 ± 0.025641.09 ± 0.023−0.05 (−0.117–0.015)0.128
12-weeks561.12 ± 0.024641.01 ± 0.0200.11 (0.05–0.174)<0.001
24-weeks561.02 ± 0.028640.87 ± 0.0230.14 (0.07–0.21)<0.0010.005<0.001
RI Baseline560.61 ± 0.008640.63 ± 0.008−0.02 (−0.04–0.003)0.09
12-weeks560.64 ± 0.008640.60 ± 0.0070.04 (0.018–0.058)<0.001
24-weeks560.60 ± 0.01640.55 ± 0.0090.05 (0.028–0.08)<0.0010.004<0.001

Abbreviations: BFV, blood flow velocity; PI, pulsatility index; RI, resistance index.

Mean haemodynamic parameters of five cerebrovascular arteries at all time points. Abbreviations: BFV, blood flow velocity; PI, pulsatility index; RI, resistance index.

Cardiac Structure, Cardiac Function and Static Pulmonary Function

We found no significant differences in all parameters of cardiac structure and function and static pulmonary function, including left atrial diameter, right ventricular diameter, left ventricular ejection fraction, minute ventilation volume, vital capacity and maximal voluntary ventilation, between the Baduanjin exercise group and the control group, whereas a significant interaction of group by time was also not identified by the mixed linear model analysis (Table 4).
Table 4

Mean cardiopulmonary function outcomes at all time points (Mean ± SE).

VariablesTime pointsControlBaduanjinMean difference (95% CI)P valueMixed linear model
P-value (between-groups)P-value (Time × Group)
nMean ± SEnMean ± SE
MVV (L/min)Baseline8511.64 ± 0.598511.45 ± 0.530.18 (−1.39~1.76)0.820
12-weeks8512.55 ± 0.688512.62 ± 0.68−0.06 (−1.96~1.83)0.948
24-weeks8511.05 ± 1.048512.20 ± 0.60−1.16 (−3.53~1.21)0.3370.6110.637
VC (L)Baseline852.90 ± 0.08852.93 ± 0.11−0.03 (−0.31~0.23)0.770
12-weeks853.03 ± 0.07853.09 ± 0.07−0.06 (−0.26~0.14)0.546
24-weeks853.14 ± 0.09853.15 ± 0.08−0.01 (−0.24~0.23)0.9550.7350.813
VVmax (L/min)Baseline8584.44 ± 2.778586.35 ± 3.14−1.91 (−10.18~6.37)0.650
12-weeks8585.87 ± 2.358589.03 ± 2.83−3.16 (−10.43~4.11)0.167
24-weeks8594.14 ± 2.2985100.62 ± 2.33−6.48 (−12.93~−0.03)0.0490.2030.605
TV (L)Baseline850.59 ± 0.02850.61 ± 0.03−0.02 (−0.08~0.04)0.522
12-weeks850.75 ± 0.04850.75 ± 0.03−0.006 (−0.11~0.09)0.907
24-weeks850.68 ± 0.03850.64 ± 0.030.04 (−0.05~0.13)0.3720.8940.461
FEV1 (L)Baseline852.38 ± 0.06852.46 ± 0.06−0.08 (−0.24~0.0800.306
12-weeks852.39 ± 0.05852.50 ± 0.06−0.11 (−0.25~0.04)0.154
24-weeks852.47 ± 0.05852.48 ± 0.05−0.01 (−0.16~0.14)0.8880.3550.098
IC (L)Baseline852.32 ± 0.07852.26 ± 0.090.05 (−0.18~0.28)0.659
12-weeks852.45 ± 0.07852.50 ± 0.05−0.05 (−0.21~0.12)0.596
24-weeks852.46 ± 0.08852.41 ± 0.070.05 (−0.17~0.26)0.6510.8230.512
FEV1/FVC (%)Baseline8589.01 ± 0.968589.67 ± 2.01−0.67 (−5.08~3.74)0.764
12-weeks8582.67 ± 0.738584.27 ± 0.67−1.60 (−3.57~0.37)0.111
24-weeks8583.71 ± 1.158584.06 ± 0.88−0.35 (−3.20~2.49)0.8080.4370.703
AD (mm)Baseline852.83 ± 0.03852.80 ± 0.300.03 (−0.07~0.12)0.570
12-weeks852.90 ± 0.04852.92 ± 0.04−0.02 (−0.14~0.08)0.658
24-weeks852.89 ± 0.04852.86 ± 0.030.03 (−0.07~0.13)0.5610.7920.534
LAD (cm)Baseline853.18 ± 0.04853.22 ± 0.04−0.04 (−0.16~0.08)0.487
12-weeks853.22 ± 0.04853.29 ± 0.04−0.07 (−0.18~0.04)0.210
24-weeks853.11 ± 0.04853.11 ± 0.05−0.005 (−0.14~0.13)0.9400.4140.642
IVST (cm)Baseline851.02 ± 0.01851.01 ± 0.010.01 (−0.02~0.05)0.360
12-weeks850.98 ± 0.01850.98 ± 0.010.00 (−0.03~0.03)0.955
24-weeks850.98 ± 0.01850.97 ± 0.010.01 (−0.02~0.04)0.5390.4800.739
LVPWTBaseline850.94 ± 0.01850.95 ± 0.01−0.01 (−0.03~0.02)0.666
12-weeks850.94 ± 0.01850.93 ± 0.010.01 (−0.01~0.04)0.236
24-weeks850.93 ± 0.01850.92 ± 0.010.01 (−0.03~0.03)0.8250.6380.422
RVD (cm)Baseline853.00 ± 0.03852.97 ± 0.030.03 (−0.07~0.13)0.541
12-weeks852.90 ± 0.03852.99 ± 0.03−0.09 (−0.20~0.01)0.068
24-weeks852.86 ± 0.03852.82 ± 0.030.04 (−0.07~0.14)0.4820.7560.09
MPADBaseline852.05 ± 0.02852.04 ± 0.020.01 (−0.06~0.08)0.812
12-weeks852.08 ± 0.02852.09 ± 0.02−0.01 (−0.06~0.05)0.815
24-weeks852.07 ± 0.02852.10 ± 0.02−0.03 (−0.09~0.04)0.4540.7060.795
LVEF (%)Baseline8561.92 ± 0.418562.29 ± 0.47−0.37 (0.63~1.61)0.548
12-weeks8563.16 ± 0.398563.47 ± 0.43−0.36 (0.58~−1.51)0.540
24-weeks8561.65 ± 0.348562.37 ± 0.32−0.98 (−1.94~−0.02)0.0460.1250.617

Abbreviations: MVV: Minute ventilation volume; VC: Vital capacity; VVmax: Maximal voluntary ventilation; TV: Tidal volume; FEV1: Forced expiratory volume in one second; IC: Inspiratory capacity; FVC: Forced vital capacity; AD: Aortic diameters; LAD: left atrial diameter; IVST: Interventricular septal thickness; LVPWT: left ventricular posterior wall thickness; RVD: right ventricular diameter; MPAD: main pulmonary artery diameter; LVEF: Left ventricular ejection fraction.

Mean cardiopulmonary function outcomes at all time points (Mean ± SE). Abbreviations: MVV: Minute ventilation volume; VC: Vital capacity; VVmax: Maximal voluntary ventilation; TV: Tidal volume; FEV1: Forced expiratory volume in one second; IC: Inspiratory capacity; FVC: Forced vital capacity; AD: Aortic diameters; LAD: left atrial diameter; IVST: Interventricular septal thickness; LVPWT: left ventricular posterior wall thickness; RVD: right ventricular diameter; MPAD: main pulmonary artery diameter; LVEF: Left ventricular ejection fraction.

Traditional Risk Factors of Cerebrovascular Diseases

A significant main effect of group and interaction effect of group by time in the plasma risk factors including the total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), high density lipoprotein (HDL-C), fasting blood glucose (FBG) and homocysteine (Hcy) was not observed (Table 5).
Table 5

The traditional risk factors of cardiovascular diseases at all time points.

VariablesTime pointsControlBaduanjinMean difference (95% CI)P valueMixed linear model
nMean ± SEnMean ± SEP-value (between-groups)P-value (Time × Group)
TC (mmol/L)Baseline851.57 ± 0.09851.48 ± 0.080.09 (−1.56~0.32)0.489
12-weeks851.53 ± 0.09851.32 ± 0.060.21 (0.01~0.42)0.05
24-weeks852.03 ± 0.13851.75 ± 0.090.28 (−0.04~0.59)0.090.0880.315
TG (mmol/L)Baseline855.67 ± 0.14855.32 ± 0.100.35 (0.01~0.69)0.042
12-weeks855.22 ± 0.12855.00 ± 0.100.22 (−0.09~0.53)0.162
24-weeks855.57 ± 0.12855.37 ± 0.110.20 (−0.13~0.53)0.2410.0840.451
LDL-C (mmol/L)Baseline851.32 ± 0.03851.33 ± 0.03−0.01 (−0.10~0.08)0.759
12-weeks851.34 ± 0.04851.34 ± 0.030.00 (−0.09~0.09)0.986
24-weeks851.41 ± 0.04851.39 ± 0.030.02 (−0.08~0.11)0.6880.9700.667
HDL-C (mmol/L)Baseline853.78 ± 0.13853.43 ± 0.090.35 (0.03~0.65)0.03
12-weeks853.57 ± 0.11853.37 ± 0.100.20 (−0.09~0.49)0.174
24-weeks852.70 ± 0.10852.63 ± 0.090.07 (−0.19~0.32)0.6140.1130.091
FGB (mmol/L)Baseline855.88 ± 0.21855.75 ± 0.100.13 (−0.33~0.59)0.584
12-weeks855.71 ± 0.14855.55 ± 0.080.16 (−0.16~0.48)0.328
24-weeks855.86 ± 0.19855.71 ± 0.110.15 (−0.28~0.58)0.4870.4450.960
Hcy (mmol/L)Baseline8511.44 ± 0.648512.14 ± 0.66−0.70 (−2.52~1.12)0.448
12-weeks8513.17 ± 0.678513.07 ± 0.620.10 (−1.69~1.89)0.912
24-weeks8513.21 ± 0.808513.27 ± 0.62−0.06 (−2.05~1.94)0.9580.8040.240
BMI (kg/m2)Baseline8525.25 ± 0.348524.61 ± 0.350.64 (−0.31~1.59)0.188
12-weeks8524.96 ± 0.348524.20 ± 0.350.76 (−0.21~1.73)0.124
24-weeks8524.87 ± 0.338524.28 ± 0.360.58 (−0.38~1.55)0.2350.1740.221
WC (cm)Baseline8587.95 ± 0.978586.93 ± 1.021.02 (−1.76~3.81)0.469
12-weeks8587.85 ± 1.008584.03 ± 0.923.82 (1.13~6.51)0.006
24-weeks8588.67 ± 0.968584.64 ± 0.984.02 (1.32~6.73)0.0040.03<0.001
HC (cm)Baseline8596.65 ± 0.718596.09 ± 0.790.55 (−1.53~2.64)0.602
12-weeks8596.50 ± 0.658594.76 ± 0.701.74 (−0.15~3.62)0.071
24-weeks8596.52 ± 0.648594.63 ± 0.711.89 (0.00~3.79)0.050.1510.006
Waist/hip ratio (%)Baseline850.91 ± 0.006850.90 ± 0.0070.01 (−0.01~0.03)0.385
12-weeks850.91 ± 0.007850.89 ± 0.0060.02 (0.01~0.04)0.012
24-weeks850.92 ± 0.006850.89 ± 0.0060.03 (0.01~0.04)0.0070.0340.033
SBP (mmHg)Baseline85134.3 ± 2.0485135.9 ± 2.01−1.68 (−7.33~3.97)0.557
12-weeks85133.5 ± 1.9285122.2 ± 1.3911.27 (6.59~15.96)<0.001
24-weeks85136.0 ± 2.1885125.7 ± 1.6810.37 (4.93~15.81)<0.0010.004<0.001
DBP (mmHg)Baseline8579.27 ± 1.208579.62 ± 1.19−0.35 (−3.69~2.99)0.835
12-weeks8578.35 ± 1.188575.26 ± 0.913.05 (0.08~6.02)0.044
24-weeks8580.20 ± 1.198576.57 ± 0.952.93 (−0.23~6.08)0.0690.1130.023
HR (times/min)Baseline8577.9 ± 1.08578.1 ± 1.0−0.17 (−2.97~2.64)0.908
12-weeks8576.1 ± 1.08573.6 ± 0.82.70 (0.15~5.25)0.038
24-weeks8573.2 ± 0.98571.9 ± 0.91.64 (−1.12~4.41)0.2420.2690.069

Abbreviations: TC, Total cholesterol; TG, Triglyceride; LDL-C, Low density lipoprotein; HDL-C, High density lipoprotein; FGB, Fasting blood glucose; Hcy, Homocysteine; BMI, Body mass index; WC, Waist circumference; HC, Hip circumference; SBP, Systolic blood pressure; DBP, Diastolic blood pressure; HR, Heart rate.

The traditional risk factors of cardiovascular diseases at all time points. Abbreviations: TC, Total cholesterol; TG, Triglyceride; LDL-C, Low density lipoprotein; HDL-C, High density lipoprotein; FGB, Fasting blood glucose; Hcy, Homocysteine; BMI, Body mass index; WC, Waist circumference; HC, Hip circumference; SBP, Systolic blood pressure; DBP, Diastolic blood pressure; HR, Heart rate. Among the four measured anthropometric measurements, including body mass index (BMI), waist circumference (WC), hip circumference (HC) and waist/hip ratio, the mixed linear model showed a significant interaction of group by time and main effect of group on WC, HC and the waist/hip ratio; three (WC, HC and the waist/hip ratio) were significantly lower in the Baduanjin training group than in the control group at post-intervention or after the additional 12-week follow-up (Table 5). For the systolic blood pressure (SBP) and diastolic blood pressure (DBP), the analysis of mixed linear model method showed obviously significant interaction effect of group by time (P < 0.001 and P = 0.023, respectively). The SBP and DBP values were significantly lower in the Baduanjin training group than in the control group at post-intervention (P < 0.001 for SBP and P = 0.044 for DBP), and this effect in SBP was maintained after the additional 12-week follow-up (P < 0.001). No significant main effect of group and interaction effect of group by time in heart rate was observed. These results are listed in Table 5.

The Related Psychological outcomes

The measured psychological outcomes include mood, self-confidence, self-esteem, quality of life and sleep quality. A significant interaction effect of group by time and the main effect of group in all of those measured psychological outcomes were observed based on the mixed linear model analysis. In addition, we also found that all those outcomes in the Baduanjin training group were significantly superior to those in the controls at both post-intervention or after the additional 12-week follow-up (Table 6).
Table 6

The related psychological outcomes at all time points.

VariablesTime pointsControlBaduanjinMean difference (95% CI)P valueMixed linear model
nMean ± SEnMean ± SEP-value (between-groups)P-value (Time × Group)
Mood (POMS)Baseline85100.2 ± 1.6185103.2 ± 1.70−2.98 (−7.61~1.66)0.206
12-weeks85105.8 ± 1.638592.61 ± 1.1013.22 (9.35~17.10)<0.001
24-weeks85104.3 ± 1.328592.82 ± 1.1411.45 (8.01~14.88)<0.001<0.001<0.001
Self-confidenceBaseline8528.48 ± 0.328527.92 ± 0.260.57 (−0.25~1.38)0.173
12-weeks8527.69 ± 0.318529.22 ± 0.25−1.53(−2.31~−0.75)<0.001
24-weeks8527.63 ± 0.278528.76 ± 0.22−1.13 (−1.81~−0.45)0.0010.037<0.001
Self-esteemBaseline8528.38 ± 0.268528.08 ± 0.270.30 (−0.44~1.03)0.430
12-weeks8527.79 ± 0.258529.45 ± 0.24−1.66 (−2.34~−0.98)<0.001
24-weeks8527.66 ± 0.248529.16 ± 0.23−1.51 (−2.15~−0.86)<0.0010.002<0.001
Quality of life (SF-36)
SF-36 (Physical health)Baseline8567.63 ± 1.738564.18 ± 1.763.45 (−1.43~8.33)0.165
12-weeks8559.52 ± 1.928578.63 ± 1.26−19.1 (−23.6~−14.7)<0.001
24-weeks8559.26 ± 1.898579.13 ± 1.21−19.9 (−24.3~−15.4)<0.001<0.001<0.001
SF-36 (Mind health)Baseline8575.77 ± 1.558572.46 ± 1.843.31 (−1.44~8.06)0.171
12-weeks8571.11 ± 1.738582.78 ± 1.16−11.7 (−15.8~−7.55)<0.001
24-weeks8570.41 ± 1.668584.17 ± 1.07−13.8 (−17.7~−9.87)<0.001<0.001<0.001
Sleep quality (Pitsburgh sleep quality index, PSQI)
PSQIBaseline857.68 ± 0.37857.81 ± 0.38−0.13 (−1.17~0.91)0.806
12-weeks857.99 ± 0.36855.50 ± 0.252.49 (1.63~3.35)<0.001
24-weeks858.50 ± 0.38855.85 ± 0.272.65 (1.74~3.57)<0.001<0.001<0.001
The related psychological outcomes at all time points.

Adverse Events

No adverse events were reported during the exercise training or follow-up period.

Discussion

Main Findings

Compared with the control group, the 12-week Baduanjin training group showed a significant reduction in most of the cerebral haemodynamic parameters, particularly PI and RI, in nine measured cerebral arteries. Furthermore, most of those significant effects were sustained in the additional 12-week follow-up. We also found an obvious reduction in SBP, DBP, heart rate and anthropometric measurements, including WC, HC and the waist/hip ratio, and an obvious improvement in the related psychological or mental outcomes, including mood, self-confidence, self-esteem, sleep quality and quality of life, in the Baduanjin training group after the 12-week intervention or the additional 12-week follow-up.

Cerebrovascular Haemodynamic Changes

Generally, normal ageing will cause marked structural and functional alterations in the cardiovascular and cerebrovascular systems, which may be linked to reductions in global CBF[37]. However, regular aerobic exercise can increase long-term CBF. The mechanisms are related to that aerobic exercise can enhance systemic arterial endothelial function, reduce large elastic artery stiffness and risk of arterial atherosclerosis in middle-aged and older adults[38,39]. The findings in this study show that the blood velocity of most measured cerebral arteries in the Badjanjin training group were significantly lower than in the control group. Those results seem to indicate that CBF is lower in the intervention group than in the control group, which conflicts with previous studies that showed that regular aerobic exercise was associated with elevated CBF in adults[40,41]. However, the resting CBF changes are tightly coupled to neuronal activity via adjustments in vascular resistance[15], and they are easily influenced by physiological or psychological factors[42]. In our study, we also observed that the PI and RI of almost all measured arteries were significantly lower in the Baduanjin training group than in the control group. Furthermore, the observed psychological or mental variables including mood, self-confidence, self-esteem, sleep quality and quality of life were better in the Baduanjin training group than in the control group and may be a reasonable explanation for the findings in this study. In addition, low-intensity aerobic exercise may not directly affect the cerebrovascular blood velocity or cause CBF changes, and an increase in exercise intensity up to nearly 60% of the maximal oxygen uptake can result in elevations in CBF[43]. Ainslie PN, et al. reported that regular aerobic-endurance exercise (vigorous road running or cycling races more than 4 times per week) is associated with higher blood flow velocity in the MCA[40]. This study used rigorously screened healthy humans to avoid the known effects of prevalent age-related diseases on CBF. Another cross-sectional study also reported that over 150 minutes of moderate- to vigorous-intensity aerobic activity per week sustained during the adult lifespan can maintain aerobic fitness throughout the lifespan and improve cerebral haemodynamics later in life[44]. Baduanjin is a traditional Chinese Qigong exercise with a low exercise intensity. It consists of eight separate, delicate and smooth movements. Practising Baduanjin requires body-mind coordination by combining body posture, movement and breathing with meditation[45]. Therefore, we speculated that 12 weeks of regular Baduanjin training might improve cerebrovascular compliance by reducing the resistance of cerebral arteries due to relaxed body-mind training, thus resulting in a decrease in cerebral blood velocity.

Cardiopulmonary Structure and Function

Cardiorespiratory capacity is typically associated with cerebrovascular diseases, and low cardiorespiratory capacity is an independent risk factor of ischaemic stroke[46]. Regular physical activity, particularly aerobic exercise, can substantially improve cardiorespiratory capacity, not only among healthy older adults but also among patients with chronic diseases, by improving cardiac structure, cardiac function and lung function[47-49]. However, no significant differences were found in the outcomes of cardiopulmonary structure and function between groups in the present study. A possible explanation is that the 12-week Baduanjin exercise intervention period may not have been sufficiently long to identify significant differences in those parameters among older community-dwelling adults at risk for ischaemic stroke.

Blood Pressure, Heart Rate, Plasma Risk Factors and Anthropometric measurements

We observed significantly lower SBP after the 12-week Baduanjin training intervention and the additional 12-week follow-up. We also observed lower DBP and heart rate after 12 weeks of the Baduanjin intervention in community elderly adults at a high risk of ischaemic stroke in the Baduanjin training group compared to the control group. DBP and heart rate did not differ between the groups after the additional 12-week follow-up. High blood pressure in elderly adults is associated with an increased risk of ischaemic stroke and thus must be controlled. Li et al.[50] did not observe effects on blood pressure in healthy adults with normal pressure after 16 weeks of Baduanjin training in their RCT, but a recent systematic review of 8 RCTs reported the beneficial effect of Baduanjin training combined with antihypertensive drugs versus antihypertensive drug use alone among patients with hypertension[32]. In our study, 54.1% of the participants (46/85) in the Baduanjin exercise group had hypertension, and 50.6% (43/85) of the patients in the control group had hypertension. Therefore, our findings indicate the efficacy of Baduanjin training as a management method for hypertension. Plasma risk factors of ischaemic stroke include TC, TG, LDL, HDL, FBG and Hcy and were measured in our study, but no significant differences were found between groups except for the TC level, which was lower in the Baduanjin exercise group than in the control group at post-intervention. These findings were in line with those from the Li et al. study on healthy adults[48] but in conflict with our previous systematic review regarding healthy adults or patients with hyperlipidaemia[33]. Additional studies are necessary to ascertain whether Baduanjin training can modulate blood lipids in adults with a high risk of ischaemic stroke. Anthropometric measurements, including WC, HC and ratio of the waist/HCs, but not BMI, were significantly decreased in the Baduanjin training group compared to the control group. Li et al. found that a 16-week Baduanjin training intervention significantly decreased BMI and skinfold thickness at the abdomen in healthy adults in their RCT, whereas no significant differences were observed between groups for waist and hip parameters[50].

The Psychological or Mental Effect

To our knowledge, several previous studies have evaluated the effect of the Baduanjin training intervention on psychological outcomes among healthy adults or patients and have reported the positive beneficial results[30,31]. Chen et al. also observed that the 12-week Baduanjin training intervention could significantly improve sleep quality among community-dwelling older adults aged 60 years or older[29]. The findings in the present study are in accordance with the results of those previous studies.

Strengths and Limitations of the Study

This is the first RCT to provide empirical evidence regarding the effectiveness of traditional Chinese Qigong-Baduanjin exercise on cerebral haemodynamic parameters; cardiopulmonary structure and function; traditional risk factors of CVD; and the related psychological outcomes of ischaemic stroke among older community adults at risk of ischaemic stroke. Our sample is representative of the population at risk for ischaemic stroke because all of them were recruited from the older population in the general community. A standardized and supervised Baduanjin exercise training programme makes it easy to reproduce. Furthermore, we had thorough recordings of exercise adherence and physical activity levels in the two groups. Second, no specific exercise intervention was used in the control group, which means that the between-group differences were due to the Baduanjin exercise training. The main limitation of our study was that nine cerebral arteries with forty-five haemodynamic parameters (five parameters per artery) were selected as the primary outcomes, which may thereby increase the risk of detecting differences between groups by chance and making type I errors. Furthermore, we indirectly assessed CBF and cerebral vascular function using the cerebral haemodynamic parameters. Although it is well established that the blood flow velocity of some cerebral arteries may be considered a reliable indicator of cerebral perfusion at rest[51], the positive changes in those haemodynamic parameters may not directly lead to improvements in CBF and cerebral vascular function. Second, a double-blinded study design was not possible due to the difficulty in administration and operation. Therefore, participants in the Baduanjin training group might have had higher expectations of the intervention effect. This awareness of intervention assignment might have introduced some bias into the results. Third, the 12-week follow-up assessment may not have been long enough to observe long-term effects, such as clinical events related to ischaemic stroke. Additional long-term randomized controlled trials should be conducted to determine whether and to what extent improvements in CBF and cerebral vascular function after Baduanjin training affect disease activity and the clinical events of ischaemic stroke in older community adults. Finally, Due to the difference of percentage of fibrillation atrial between the dropped out participants and the participants finished the study, it may cause to some extent confounding effect to the main results.

Conclusion

This study demonstrated that Baduanjin significantly contributed to modulating cerebral haemodynamic parameters, reducing blood pressure and improving anthropometric parameters, mood, sleep quality and quality of life. Baduanjin exercise may be a useful and feasible strategy to reduce the risk of ischaemic stroke in older community populations.
  46 in total

1.  Physical activity prevents age-related impairment in nitric oxide availability in elderly athletes.

Authors:  S Taddei; F Galetta; A Virdis; L Ghiadoni; G Salvetti; F Franzoni; C Giusti; A Salvetti
Journal:  Circulation       Date:  2000-06-27       Impact factor: 29.690

2.  Age-related reduction in visually evoked cerebral blood flow responses.

Authors:  L Niehaus; R Lehmann; S Röricht; B U Meyer
Journal:  Neurobiol Aging       Date:  2001 Jan-Feb       Impact factor: 4.673

3.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association.

Authors:  William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman
Journal:  Circulation       Date:  2007-08-01       Impact factor: 29.690

Review 4.  Regulation of cerebral blood flow during exercise.

Authors:  Jordan S Querido; A William Sheel
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

5.  MRI measures of middle cerebral artery diameter in conscious humans during simulated orthostasis.

Authors:  J M Serrador; P A Picot; B K Rutt; J K Shoemaker; R L Bondar
Journal:  Stroke       Date:  2000-07       Impact factor: 7.914

6.  Dynamic cerebral autoregulatory capacity is affected early in Type 2 diabetes.

Authors:  Yu-Sok Kim; Rogier V Immink; Wim J Stok; John M Karemaker; Niels H Secher; Johannes J van Lieshout
Journal:  Clin Sci (Lond)       Date:  2008-10       Impact factor: 6.124

Review 7.  Risk factors for ischaemic stroke.

Authors:  Claire L Allen; Ulvi Bayraktutan
Journal:  Int J Stroke       Date:  2008-05       Impact factor: 5.266

8.  Guidelines for management of ischaemic stroke and transient ischaemic attack 2008.

Authors: 
Journal:  Cerebrovasc Dis       Date:  2008-05-06       Impact factor: 2.762

9.  Elevation in cerebral blood flow velocity with aerobic fitness throughout healthy human ageing.

Authors:  Philip N Ainslie; James D Cotter; Keith P George; Sam Lucas; Carissa Murrell; Rob Shave; Kate N Thomas; Michael J A Williams; Greg Atkinson
Journal:  J Physiol       Date:  2008-07-17       Impact factor: 5.182

Review 10.  Pathophysiology of cerebral ischemia and brain trauma: similarities and differences.

Authors:  Helen M Bramlett; W Dalton Dietrich
Journal:  J Cereb Blood Flow Metab       Date:  2004-02       Impact factor: 6.200

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Authors:  Xin-Xin Ye; Zi-Yang Ren; Somayeh Vafaei; Jun-Meng Zhang; Yuan Song; Yang-Xin Wang; Pei-Ge Song
Journal:  Integr Cancer Ther       Date:  2022 Jan-Dec       Impact factor: 3.077

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3.  The effectiveness of Baduanjin exercise for hypertension: a systematic review and meta-analysis of randomized controlled trials.

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5.  Intensity level and cardiorespiratory responses to Baduanjin exercise in patients with chronic heart failure.

Authors:  Xiankun Chen; Gaetano Marrone; Thomas P Olson; Cecilia Stålsby Lundborg; Huiying Zhu; Zehuai Wen; Weihui Lu; Wei Jiang
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6.  Simultaneous Exercise and Cognitive Training in Virtual Reality Phase 2 Pilot Study: Impact on Brain Health and Cognition in Older Adults.

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8.  Effects of Baduanjin exercise on essential hypertension: A meta-analysis of randomized controlled trials.

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