Evidence-Based Complementary and Alternative Medicine

Volume 2013 (2013), Article ID 152738, 16 pages

http://dx.doi.org/10.1155/2013/152738

Review Article

The Effects of Qigong on Anxiety, Depression, and Psychological Well-Being: A Systematic Review and Meta-Analysis

Fang Wang,¹ Jenny K. M. Man,² Eun-Kyoung Othelia Lee,³ Taixiang Wu,⁴ Herbert Benson,⁵ Gregory L. Fricchione,⁵ Weidong Wang,¹ and Albert Yeung²

¹Psychological Department, Guang’an Men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China

²Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA 02114, USA

³Department of Social Work, University of North Carolina at Charlotte, Charlotte, NC 28223, USA

⁴Chinese Cochrane Centre, West China Hospital, Sichuan University, Chengdu 610041, China

⁵Benson Henry Institute Massachusetts General Hospital, Massachusetts General Hospital, Boston, MA 02114, USA

Received 24 July 2012; Revised 3 October 2012; Accepted 14 October 2012

Academic Editor: Melzer Jörg

Copyright © 2013 Fang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Introduction. The effect of Qigong on psychological well-being is relatively unknown. This study systematically reviewed the effects of Qigong on anxiety, depression, and psychological well-being. Methods. Using fifteen studies published between 2001 and 2011, a systematic review was carried out and meta-analyses were performed on studies with appropriate homogeneity. The quality of the outcome measures was also assessed. Results. We categorized these studies into three groups based on the type of subjects involved as follows: (1) healthy subjects, (2) subjects with chronic illnesses, and (3) subjects with depression. Based on the heterogeneity assessment of available studies, meta-analyses were conducted in three studies of patients with type II diabetes in the second group, which suggested that Qigong was effective in reducing depression (; 95% CI, −0.58–0.00) and anxiety (; 95% CI, −0.66–0.08), as measured by Symptom Checklist 90, and in improving psychological well-being (; 95% CI, −0.91–0.25) as measured by Diabetes Specific Quality of Life Scale. Overall, the quality of research methodology of existing studies was poor. Conclusions. Preliminary evidence suggests that Gigong may have positive effects on psychological well-being among patients with chronic illnesses. However the published studies generally had significant methodological limitations. More high-quality studies are needed.

1. Introduction

The word “Qigong” is a combination of two concepts: “Qi,” the vital energy of the body, and “gong,” the skill of working of the Qi. Together, Qigong (or Chi Kung) means cultivating energy [1]. Qigong is based on Taoist philosophy and traditional Chinese medicine theories to cultivate Qi. It has a history of several thousand years, and is a highly popular practice, particularly in China, for health maintenance, healing, and increasing vitality [2]. Qigong can be divided into various categories such as static Qigong, dynamic Qigong, internal Qigong (neiqi), and external Qigong (waiqi) [3].

Qigong exercises consist of a series of orchestrated practices including body posture, movement, breathing, and meditation, all of which have been designed to enhance Qi function—that is, to draw upon natural forces to optimize and balance energy within, through the attainment of deeply focused and relaxed states [4]. An overview of the research literature pertaining to internal Qigong yields more than a dozen forms that have been studied on their effects on health outcomes, including Guo-lin, Chun-Do-Sun-Bup, Vitality or Bu Zheng Qigong, Eight Brocade, and Medical Qigong [5, 6]. As a form of gentle exercise, Qigong is composed of repetitive movements that are used for strengthening and stretching the body, increasing circulation of various fluids (blood, synovial, and lymph), enhancing balance, and building awareness of how the body moves through space [6]. From the perspective of Western philosophy and science, it could be hypothesized that Qigong, like other meditation techniques, elicits the Relaxation Response and alleviates the dysregulation of the hypothalamic-pituitary-adrenal axis [7]. The potential psychological benefits derived from the practice of Qigong may include relaxation, exposure, desensitization, deautomatization, catharsis, and counterconditioning [8].

As a form of complementary and alternative medicine, Qigong has been used to treat medical conditions such as high blood pressure [9, 10], bone loss [11], and weight-loss maintenance [12]. Short-term Qigong training appears to improve functions of the respiratory [13] and immune systems [14]. Various health claims about Qigong have been made for: hypertension [15–17], Parkinson’s disease [18], Type II diabetes [19], cancer [7, 19], cardiac disease [20], pain reduction among post-surgery patients, and patients with injury, arthritis, and fibromyalgia [21, 22].

Several Qigong review articles have been published, which mainly focus on the effects of Qigong on specific medical conditions such as hypertension [17], cancer [19], and geriatric patients [23]. However, for health practitioners, it is still unclear whether Qigong can be recommended as an effective therapy for emotional problems and for improving psychological well-being. The purpose of this meta-analysis was to systematically review the effects of Qigong on psychological outcomes. Due to the limited number of studies in this area, we reviewed Qigong studies which reported on a relatively wide spectrum of outcomes including mood, anxiety, psychological well-being, self-efficacy, and quality of life.

2. Materials and Methods

2.1. Data Searches and Study Selection

Since many Qigong studies were conducted in China and published only in Chinese language journals, the authors included three researchers from China and five researchers from the U.S. Electronic relevant publications from both Chinese and English databases were reviewed. Two reviewers searched and screened the titles and abstracts of the studies identified by the search against the eligibility criteria for English databases independently. One reviewer searched and screened the studies in Chinese. For potentially eligible studies, the full text publications were obtained and criteria reapplied. Disagreement was resolved by discussion. A professional librarian was consulted in our search process.

Research articles published in English on the effects of Qigong on mood and depression were identified from the following databases: from the inception to 2011 on Medline, PubMed, PsycINFO, Cochrane Reviews, Ovid, EBSCOhost, and all of the journals in the Harvard Countway Library of Medicine. Research articles published in Chinese on the effects of Qigong on mood and depression were identified from the following Chinese databases: from the inception to 2011 on CNKI, Wan Fang Med Online, and VMIS. For English databases, the key words used included a combination of MeSH and free text terms: “Qigong/Qi Gong/Gong, Qi/Ch’i Kung/Kung, Ch’i”, “mood,” “depression,” “anxiety,” “emotional well-being,” and “psychological well-being” as main subject headings, text words in titles, and abstracts. For Chinese databases, the key words used included equivalent Chinese terms as main subject headings, text words in titles, and abstracts.

According to the selection criteria, interventions were restricted to Qigong. Other psychological interventions such as yoga and meditation were excluded; mixed interventions (e.g., acupuncture and Qigong in combination) were excluded (as described in Figure 1). The primary outcomes evaluated were psychological, with particular emphasis on mood, anxiety, depression, self-efficacy, and quality of life.

Figure 1: Flow chart of the study selection process.

To be included in the meta-analyses, studies needed to have either a randomized controlled trial (RCT) or quasi-experimental (Q-E) design. The process of study selection was described in Figure 1. A study was operationally defined as RCT in this paper if the allocation of participants to treatment and comparison groups was reported to be randomized. If allocation of participants was done through a systematic sequence (e.g., alternate days of the week) without randomization, the study was operationally defined as having a Q-E design in this paper. Studies that did not use any type of comparison group, or did not report any comparison results between groups, or used mixed interventions were excluded. Duplicate publications were also excluded. Titles and abstracts gathered from the databases were first reviewed for relevance to this paper. The full text of papers that met the inclusion criteria were then obtained, and findings were summarized.

2.2. Data Extraction and Quality Assessment

We assessed the characteristics of the original research and extracted data accordingly. Some basic information was collected based on date of publication, study sites, language of study, and clinical domains (see Table 1). The methodological quality of RCTs was evaluated based on six criteria: adequate sequence generation, allocation concealment, blinding which including the blindness adopted during the conduct and analysis of the studies, completeness of outcome data, selective reporting, and other potential biases, for which the compliance assessment, similarity of comparison groups at baseline and appropriateness of the statistical analyses should be assessed [24, 25] (Table 2).

Table 1: Summary of Qigong studies reviewed.

No. of studies
Study ID no.

Date of publication

    2001–2005
4
16, 32, 35, 41

    2006–2011
13
28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40

Study sites

    US
1
33

    China and Hong Kong
11
28, 29, 30, 31, 32, 36, 37, 40, 41

    Others (Sweden, Australia, Korea)
5
16, 34, 35, 38, 39

Language of study

    Chinese
6
28, 29, 30, 31, 36, 37

    English
11
16, 32, 33, 34, 35, 38, 39, 40, 41

Clinical domains

    Chronic physical illnesses
1
41

        Cancer
1
38

    Depression
1
40

    Type II diabetes
4
28, 30, 31, 36

    Hypertension
2
16, 32

    No medical condition
8
29, 33, 34, 35, 37, 39

Table 2: Methodological quality of Qigong studies reviewed.

Lead author
Adequate sequence generation
Allocation concealment
Blinding
Completeness of outcome data
Selective reporting
Other potential biases

Cheung [34]
Y
Unclear
Y
Y
Unclear
Y

Griffith [35]
Y
Unclear
Unclear
Y
Unclear
Unclear

Huo [28]
Y
Unclear
Unclear
Y
Unclear
Unclear

Jin [29]
Unclear
Unclear
Unclear
Unclear
Unclear
Unclear

Johansson [36]
Unclear
Unclear
Unclear
Y
Unclear
Unclear

Lee [16]
N
Unclear
Unclear
Y
Unclear
Unclear

Lee [37]
Y
Unclear
Y
Y
Unclear
Unclear

Lin [32]
Y
Y
Unclear
N
N
Unclear

Liu [33]
Unclear
Unclear
Unclear
Unclear
Unclear
Unclear

Oh [38]
Y
Unclear
Unclear
Y
Unclear
Unclear

Skoglund [39]
Unclear
Unclear
Unclear
N
Unclear
Unclear

Tsang [40]
Unclear
Unclear
Y
Y
Unclear
Y

Tsang [41]
Unclear
Unclear
Unclear
Unclear
Unclear
Unclear

Wang [30]
Unclear
Unclear
Unclear
Unclear
N
Unclear

Zhang [31]
Y
Y
Unclear
N
Y
Unclear

Findings of 15 studies were tabulated regarding sample characteristics (i.e., total sample size, age, gender, number of participants in Qigong group), duration, intervention style, design of control measures being used, and main outcomes (Table 3). Two reviewers extracted data and assessed the quality of each study independently. Strength of interreviewer agreement was expressed using Cohen coefficient [26]. Disagreement was initially resolved by discussion. When related data were not provided in articles, trial authors were contacted through e-mail or phone.

Table 3: Summary of Qigong studies reviewed 2.

Group
Lead author
Sample size
Age (y)
Intervention (Qigong) and controls
Duration
Psychological well-being related measures
Psychological well-being related outcomes

Griffith [35]
N1 = 50

11 males,

39 females

N2 = 25
Mean age 51
G1 Qigong practice

G2 Wait-list (control)
6 weeks
Perceived Stress Scale, SF-36
Qigong improved perceived stress and social interaction subscale of the SF-36 versus control.

Jin [29]
N1 = 105

N2 = 35
60–69
G1 Health qigong

G2 Tai Chi (control)

G3 Fitness Yangko (control)
12 weeks
SDS, SAS, SRHMS
SAS reduced significantly in G1, G1, G3. SDS reduced significantly in G1, G3.

Healthy subjects
Johansson [36]
N1 = 59

8 males,

51 females

N2 = 28
Mean age 50.8

G1 Qigong

(Jichu Gong)

G2 Lecture (control)
4 days intensive
POMS, STAI
POMS-depression, anger, fatigue, STAI-state anxiety scores reduced significantly in G1.

Lee [37]
N1 = 20

Male only

N2 = 10
Mean age 26

G1 Qigong (Korean Qi-therapy)

G2 Placebo (control)
70 minutes
The Spielberger Anxiety Inventory-State, MT
Qigong improved anxiety versus control.

Liu [33]
N1 = 100

N2 = 50
College students
G1 eight-section Brocade qigong

G2 unclear (control)
12 weeks
SCL-90
Qigong improved SOM, O-C, I-S and PAR versus control. SOM, O-C, DEP, ANX, HOS, other symptoms and mean score reduced significantly in G1.

Skoglund [39]
N1 = 42

9 males,

33 females

N2 = 21
42–54

Mean age 48
G1 Qigong (Shuxingpingxegong)

G2 Wait-list (control)
6 weeks
Questionnaire about health state, health grading and grading of stress, a visual analogue scale (similar to a thermometer),

SF12 (a short version of SF-36)
The health related quality of life was improved significantly after Qigong.

Cheung [34]
N1 = 91

37 males,

51 females

(88 subjects completed)

N2 = 47
Mean age 54

(88 subjects completed)
G1 Goulin qigong

G2 Conventional exercise (control)
16 weeks
SF-36, BAI, BDI
No significant difference found between the two groups.

Huo [28]
N1 = 80

28 males,

41 females

(69 subjects completed)

N2 = 40
Mean age 64.2

(69 subjects completed)
G1 Eight-Section Brocade qigong

G2 Health education (control)
12 weeks
SDS, DMQLS
Qigong improved SDS, total score, physiological dimension, satisfactory dimension of quality of life versus control. SDS, total score, physiological dimension, satisfactory dimension of QOL reduced significantly in G1.

Satisfactory dimension of QOL reduced significantly in G2.

Lee [16]
N1 = 46

N2 = 22
40–65

Mean age 53

(36 subjects completed)
G1 Qigong exercise

G2 Wait-list (control)
8 weeks
The general self-efficacy scale,

Exercise self-efficacy,

the scale to measure the effect of emotion on exercise
Self-efficacy and other cognitive perceptual efficacy variables improved significantly in G1.

Subjects

with

chronic

illnesses
Lin [32]
N1 = 108

28 males,

80 females

N2 = 81
37–70

Mean age 58

(94 subjects completed)
G1 eight-section Brocade qigong

G2 eight-section Brocade and static qigong

G3 Static qigong

G4 Treatment as usual (control)
4 months
MMPI, SCL-90, DSQL
MMPI: SI, difference of Pd in G3, difference of Pd, Pt and Sc in G2 were improved versus control. Pd, Pt and Sc reduced significantly in G2. Hy, Pd and Pa reduced significantly in G3; Pd, Sc increased significantly in G4.

SCL-90: SOM in G1 were improved versus control. SOM, O-C, DEP and GSI reduced significantly in G1. O-C, HOS and GSI reduced significantly in G2.

DSQL: total score, physical score, psychological score, social score and treatment score in G2, total score, social score and treatment score in G3, treatment score in G1 were improved versus control. Difference of total score, physical score and social score in G1, G2, G3, difference of psychological score and treatment score in G2 were improved versus control. Total score, physical score and psychological score reduced significantly in G2, G3. Social score and treatment score reduced significantly in G2. Total score, physical score and social score increased significantly in G4.

Oh [38]
N1 = 162

69 males,

93 females

N2 = 81
31–86

Mean age 60
G1 modified qigong

G2 group therapy (control)
10 weeks
Functional Assessment of Cancer

Therapy—General (FACT-G), the Functional Assessment of Cancer Therapy—Fatigue (FACT-F), POM.
Qigong improved QOL, fatigue and mood disturbance versus control.

Tsang [41]
N1 = 50

26 males,

24 females

N2 = 25
≥65

Mean age 75
G1 eight-section Brocades qigong

G2 traditional remedial rehabilitation (control)
12 weeks
GDS, Perceived Benefit Questionnaire, WHOQOL-BREF[HK], ASSEI
Physical health, activity level, psychological health, social relationship, and health in general improved significantly in G1.

Wang [30]
N1= 54

23 males,

31 females

N2 = 27
41–70

Mean age 58.8
G1 eight-section Brocade qigong

G2 treatment as usual (control)
4 months
SCL-90
Qigong improved O-C, DEP, ANX and HOS versus control 2 months later. HOS reduced significantly in G1 4 months later.

Zhang [31]
N1 = 90

29 males,

61 females

N2 = 60
37–69

Mean age 57.8

(78 subjects completed)
G1 eight-section Brocade and relaxation qigong

G2 Liuzijue and relaxation qigong

G3 Treatment as usual (control)
4 months
SCL-90, DSQL
SCL-90: SOM and PSY in G2 were improved versus control. Difference of SOM and PSY in G1, G2 were improved versus control. GSI, mean score and SOM reduced significantly in G1, G2. PST and DEP reduced significantly in G1. I-S, HOS and PSY reduced significantly in G2. QOL: physical score in G1, G2 were improved versus control. Psychological and social score reduced significantly in G2. Social score reduced significantly in G3.

Subjects

with

depression
Tsang [40]
N1 = 97

N2 = 41

16 males,

66 females

(82 subjects completed)
≥65

Mean age 82

(82 subjects completed)
G1 Qigong practice

G2 Newspaper reading (control)
16 weeks
GDS, CGSS, PWI, GHQ-12, ASSEI, Perceived Benefit Questionnaire
Qigong improved mood, self-efficacy, personal well-being, physical and social domains of self-concept versus control 8 weeks later. 16 weeks later, the improvement generalized to the daily task domain of the self-concept.

Total Sample Size (N1); number of participants recruited in Qigong group (N2); Group 1 (G1); Group 2 (G2); Group 3 (G3); Group 4 (G4); Health Status Survey Short Form (SF-36); Self-rating depression scale (SDS); Self-rating anxiety scale (SAS); Self-rated Health Measurement Scale (SRHMS); Profile of Mood States (POMS); the State and Trait Anxiety Inventory (STAI); Tuchman’s mood thermometer (MT); Symptom Checklist 90 (SCL-90); Somatization (SOM); Obsessive-compulsive (O-C); Interpersonal sensitivity (I-S); Paranoid Ideation (PAR); Depression (DEP); Anxiety (ANX); Hostility (HOS); Beck Anxiety Inventory (BAI); Beck Depression Inventory (BDI); Diabetes Specific Quality of Life Scale (DMQLS); Minnesota MultiPhasic Personality Inventory (MMPI); Diabetes Specific Quality of Life Scale (DSQL); Social introversion (SI); Psychopathic deviate (Pd); Psychasthenia (Pt); Schizophrenia (Sc); Hysteria (Hy); Paranoia (Pa); Global Severity Index (GSI); The Geriatric Depression Scale (GDS); the Hong Kong Chinese Version World Health Organization Quality of Life: Abbreviated Version (WHOQOL-BREF[HK]); Self-concept Scale (ASSEI); Psychoticism (PSY); Positive Symptom Total (PST); the Chinese General Self-efficacy Scale (CGSS); Personal Well-being Index (PWI); General Health Questionnaire-12 (GHQ-12).

2.2.1. Assessment of Heterogeneity

If substantial clinical, methodological, or statistical heterogeneity existed, study results were not combined by means of meta-analysis. Clinical heterogeneity usually came from patients’ characteristics (age, gender, etc.). Methodological heterogeneity refers to differences between studies in terms of methodological factors, such as sequence generation and concealment of allocation [24]. If the studies did not have these heterogeneities, we performed a meta-analysis and determined whether they showed statistical heterogeneity by visually inspecting the forest plots and by using a standard -test with a significance level of , given the low power of such tests. Statistical heterogeneity was specifically examined with [25], where values of 50% or more indicate a substantial level of heterogeneity [27]. When heterogeneity was found, we attempted to determine potential reasons for it by examining individual study characteristics.

2.2.2. Assessment of Reporting Biases

Because all 15 studies we reviewed had small samples, funnel plots were used in an exploratory analysis to assess the potential existence of small study bias if 9 or more studies were included in one meta-analysis. If less than 9 studies were included in the meta-analysis, we considered that a potential risk of selective reporting existed [24].

2.2.3. Data Statistical Analysis and Quality Assessments of Outcome Measures

Since all outcomes were continuous variables, if the same measurement was used across studies, effect size (ES) was determined by calculating the mean difference between groups. If the same underlying concept was measured but different outcome measurements were used, ES was determined by calculating the standardized mean difference between groups.

Because of the different trials implemented various styles of Qigong, if any trials with three or more treatment arms were identified, we made two assumptions for the analysis. Firstly, if the trial was comparing two or more styles of Qigong versus control, then the data for those Qigong arms were combined to give one comparison of Qigong intervention versus control for that trial.

Secondly, if the trial was comparing Qigong versus two or more controls, then the data for those control arms were kept separate, and the data for that trial were included in the appropriate control categories.

Overall outcome was assessed by pooling the ES of each study. In view of the heterogeneity, random-effects model was used for pooling. All analyses were conducted using Review Manager 5 (Version 5.0; The Chinese Cochrane Centre, The Cochrane Collaboration; Chengdu, China). We assessed the quality of the outcome of measures using GRADE profiler version 3.

3. Results

3.1. Study Description

Fifteen studies published between 2001 and 2011 were included in this systematic review. Of these, 6 were published in Chinese and identified from Chinese databases [28–33] and 9 were published in English and identified from English databases [15, 34–41]. Disagreement for articles included was on 5 of 20. They were excluded after discussion.

Only one of these studies was conducted in the United States; the majority () of the remaining studies were conducted in China, including Hong Kong. In six studies, effects of Qigong interventions were examined in healthy adults without any specific medical conditions. The majority of the studies, however, targeted individuals with a variety of chronic conditions, including diabetes (), depression (), cancer (), and hypertension () (Table 1).

Table 2 presents the methodological quality of the 15 studies reviewed. All studies, with the exception of one Q-E study [15], were RCTs. Ten studies used a two-arm design with one intervention and one control group, and the remaining four adopted a three-arm design which used either a different type of Qigong [33] or a psychoeducational group [28, 36, 41] as the second comparison group. The interrater agreement as measured by kappa was 0.901 ().

Seven studies described the randomization process. One study reported that the randomization was performed by a statistician who had prepared a randomization list before the study started [34]. Four studies reported that the randomization was performed through the use of computer-generated numbers [31, 32, 35, 38]. Two studies used a random-number table [28, 37]. The other seven studies did not clearly report the process of randomization [29, 30, 33, 36, 39–41]. One study allocated the participants according to their place of residence [15], which cannot be considered a sufficient randomization. Two studies specified allocation concealment by using the allocation sequences sealed in opaque envelopes [31, 32].

Blinding was described in only three studies. One study adopted a single blind run-in period [34]. Another study reported that the treatment order was randomly determined and subjects did not know their treatment [37]. The other study adopted a double-blind method as to group assignment of treatment procedure [40]. Blinding the participants to the allocation was not adopted in one study while the other blindness such as study analysis was not described clearly [38]. The majority of studies addressed incomplete outcome data. Three studies used intention-to-treat analyses [31, 34, 38]. Eight studies reported the number of drop-outs and related reasons [15, 28, 34–38, 40]. Three studies reported the number of drop-outs, but did not explain the reasons for drop-outs [31, 32, 39]. Two studies described the periods of follow-up [15, 40]. Through careful reading of the study and contacting the study authors for additional information, we tried to examine whether there was selective reporting of outcomes. Two studies reported all outcome measurements [30, 32]. One study did not address all of the outcomes [31]. For the majority of the studies, the existence of selective reporting could not be determined due to inadequate information.

Five studies described the methods to evaluate the adherence of patients to intervention [30, 34, 35, 38, 39]. Comprehensive comparisons of demographic and baseline information were presented in eight studies [28, 31, 32, 34, 35, 38, 40, 41], two of which reported that some demographic characteristics were unbalanced among comparison groups at baseline [34, 40]. The statistical methods in all of the included studies were considered appropriate for the analyses performed.

Table 3 summarized the 15 studies with regard to effects of Qigong on psychological well-being outcomes. The study sample sizes ranged from 20 to 162, with a total of 1154 research participants. Among them, 593 subjects received Qigong intervention. All studies recruited participants aged 18 years and up with the majority in their middle adulthood. Two studies targeted participants aged 65 and older [40, 41], and one study recruited young adults in college settings [33]. Most studies include mixed gender groups, though one study included males only [37].

The durations of the interventions ranged from 70 minutes to 4 months. Interventions of 3-4 months’ duration appeared to be the norm for demonstrating changes while maximizing study enrollment and adherence. Among the Qigong intervention studies, the most popular form was the “Eight Section Brocade Exercise.” During and outside of group practice sessions, peer learning and discussions to facilitate social interaction and mutual support were encouraged since these may be important therapeutic ingredients. In most of the studies, control groups received treatment as usual and routine medical check-up. Three studies utilized a waitlist as the control group [15, 35, 39].

While all included studies reported on psychological outcomes, only the study by Tsang et al. targeted participants with a psychiatric disorder [40]. The remaining studied either healthy subjects or subjects with chronic medical conditions, and examined psychological factors as secondary goals of the study.

The most frequently reported psychological benefits were decreased depressive symptoms and improved mood, reported in seven studies [28–31, 36–38], as evidenced by scores on depression scales (e.g., Hamilton Depression Severity Index-17, Self-Rating Depression Scale, Center for Epidemiological Studies Depression Scale, etc.). Depression was shown to improve significantly in studies comparing Qigong to an inactive control, newspaper reading [40], usual care, psychosocial support, or stretching/education controls [30]. General measures of mood (e.g., Profile of Mood States) improved significantly for those practicing Qigong compared to a wait-list control group [15]. In two studies, depressive symptoms improved, but the change was not statistically significant, for both Qigong and for exercise comparison groups [34, 41].

Participants in the intervention groups also demonstrated reduced anxiety [29–31, 37, 41], as assessed by scales such as the Self-Rating Anxiety Scale. Anxiety decreased significantly for participants practicing Qigong compared to an active exercise group [15, 34].

Three studies reported statistically significant improvements in somatic symptoms among the intervention group as evidenced by scales such as the Symptom Checklist-90 and Somatization Scale [28]. In these studies, participants also reported lower perceived stress and intensity of pain compared with the control group.

Some studies employed measures of physical health and biomarkers, including blood pressure [15], cholesterol levels [30, 31], fasting blood sugar [29, 30, 32], and triglycerides [29, 30]. In one study examining biomarkers related to stress response, norepinephrine, epinephrine, and blood cortisol levels were significantly decreased in response to Qigong compared to a wait-list control group [15].

Improvement of overall quality of life (QOL) was the second most frequently mentioned benefit reported in six studies [28, 29, 31, 34, 40, 41]. In studies with heterogeneous participants (including healthy adults, patients with cancer, post-stroke, arthritis, etc.), at least one of the components of QOL was reported to be significantly improved by Qigong compared to newspaper reading [40] or traditional remedial rehabilitation [41]. In one study, Qigong showed improvements in QOL compared to an exercise intervention, but the results did not reach statistical significance [34]. With a few exceptions, the majority of studies indicate that Qigong holds great potential for improving QOL in both healthy and chronically ill patients.

Self-efficacy was generally assessed in the RCTs as a secondary outcome related to the problem area under investigation (e.g., efficacy to manage a disease or pain symptom, or in the case of falls among the elderly, feeling more confident that one will not fall). The perceived ability to handle stress or novel experiences [15, 40] and exercise self-efficacy [15] were found to be enhanced in the Qigong intervention groups relative to control groups.

3.2. Meta Analyses for Three Subgroups

We categorized the studies into three groups based on the type of subjects for further analysis as follows: (1) healthy subjects, (2) subjects with chronic illnesses, and (3) subjects with depression. Only one RCT recruited subjects with depression [40] and therefore no meta-analysis was needed for this group. Six RCTs were included in the group of studies with healthy subjects [29, 33, 35–37, 39]. Meta-analysis was not performed in this group. One study recruited only male participants, which made it hard to compare to other studies [37]. Another study used a crossover design with each participant serving as his or her own control without a separate comparison group [39]. The remaining four studies used different groups as controls, including a lecture [36], Tai Chi and fitness Yangko [29], a waitlist [35], and an unclearly described control [33].

Eight RCTs were included in the group of studies of patients with chronic illnesses [5, 28, 30–32, 34, 38, 41]. Five studies were excluded from the meta-analysis. One study was quasi-experimental [15], and another study had a high dropout rate (32% in the intervention group and 35% in the control) [38]. The other three studies were excluded since they used a different control group than the three RCTs included in meta-analysis, which used treatment as usual and no Qigong intervention as control. Three of the excluded studies used the following control conditions—conventional exercise [34], traditional remedial rehabilitation under the supervision of qualified professionals [41], and health education [28].

After assessment of heterogeneity and consideration of the choices of varying control groups used in different studies, meta-analysis of outcomes related to depression measured by Symptom Checklist 90 (SCL-90) were performed on the remaining three RCTs of patients with type II diabetes [30–32]. Baseline characteristics were reasonably well balanced between the Qigong group and the control group for the three trials. At endpoint, there were a significant differences between the two groups on obsessive-compulsive, depression, anxiety and anger-hostility in Wang’s study, on somatization in Lin’s study, and on phobic anxiety in Zhang’s study (). Results of the individual trials for SCL-90 are presented in Table 4.

Table 4: Results of trials included in meta-analysis on symptoms of SCL-90 and psychological health of DSQL in subjects with chronic illnesses.

Wang et al. 2008 [30]
Lin 2007 [32]
Zhang 2008 [31]

Baseline
Endpoint
Baseline
Endpoint
Baseline
Endpoint

G1 ()
G2 ()
G1 ()
G2 ()
G1 ()
G2 ()
G1 ()
G2 ()
G1 ()
G2 ()
G1 ()
G2 ()

SCL-90

    Total score
131.0 (32.2)
142.3 (50.1)
121.4 (38.3)
143.4 (34.7)
139.2 (43.4)
145.1 (45.7)
126.8 (33.4)
145.1 (45.7)
50.7 (7.7)
48.6 (7.2)
51.1 (8.0)
55.0 (10.5)

    Somatization
0.7 (0.5)
0.7 (0.8)
0.6 (0.6)
0.7 (0.5)
1.7 (0.7)
2.0 (0.7)
1.6 (0.5)*
2.0 (0.7)
41.3 (12.4)
40.8 (14.4)
33.6 (9.5)
39.9 (15.1)

    Obsessive-compulsive
0.7 (0.4)
0.7 (0.7)
0.5 (0.5)*
0.8 (0.5)
1.9 (0.6)
1.8 (0.5)
1.7 (0.5)
1.8 (0.5)
38.9 (11.5)
36.5 (11.6)
35.9 (8.7)
38.5 (10.4)

    Interpersonal sensitivity
0.4 (0.4)
0.4 (0.6)
0.3 (0.6)
0.5 (0.5)
1.5 (0.6)
1.6 (0.5)
1.4 (0.5)
1.6 (0.5)
31.7 (14.5)
29.8 (10.3)
27.6 (8.6)
30.6 (10.2)

    Depression
0.5 (0.4)
0.4 (0.6)
0.4 (0.5)*
0.7 (0.5)
1.7 (0.6)
1.6 (0.6)
1.5 (0.5)
1.6 (0.6)
38.6 (12.0)
34.7 (8.2)
34.7 (7.4)
36.2 (8.7)

    Anxiety
0.3 (0.4)
0.3 (0.7)
0.3 (0.4)*
0.5 (0.4)
1.4 (0.6)
1.5 (0.5)
1.4 (0.5)
1.5 (0.5)
33.0 (16.1)
29.7 (13.6)
26.2 (8.4)
30.1 (13.2)

    Anger-hostility
0.6 (0.5)
0.7 (0.7)
0.3 (0.5)*
0.7 (0.6)
1.5 (0.5)
1.6 (0.7)
1.4 (0.4)
1.6 (0.7)
35.6 (10.2)
36.9 (14.7)
31.7 (7.5)
35.5 (9.9)

    Phobic anxiety
0.2 (0.2)
0.5 (0.7)
0.2 (0.3)
0.4 (0.4)
1.3 (0.6)
1.4 (0.5)
1.2 (0.5)
1.4 (0.5)
29.3 (14.7)
26.8 (9.1)
25.4 (8.9)*
26.3 (7.9)

    Psychotism
0.3 (0.4)
0.5 (0.6)
0.2 (0.4)
0.4 (0.5)
1.3 (0.5)
1.4 (0.3)
1.2 (0.4)
1.4 (0.3)
31.2 (13.8)
28.1 (8.7)
25.4 (9.0)
30.8 (9.9)

    Paranoid ideation
0.3 (0.4)
0.4 (0.5)
0.2 (0.4)
0.4 (0.6)
1.3 (0.5)
1.4 (0.4)
1.3 (0.4)
1.4 (0.4)
31.8 (9.6)
29.1 (9.1)
30.7 (7.3)
33.0 (9.1)

DSQL

    Psychological health

35.0 (19.0)
35.2 (17.2)
30.6 (15.9)*
41.6 (19.3)
32.7 (19.0)
36.4 (19.3)
26.7 (17.0)*
36.5 (21.8)

Note: Qigong group (G1); control group (G2). Outcomes were reported by mean (SD). *The difference between the scores of the two groups was significant ().

We found significant differences between groups ( CI, −0.58–0.00), with (Figure 2(e)). Meta-analysis of outcomes related to anxiety were also performed in the same three studies [30–32]. We found significant differences between groups (, −0.66–0.08), with (Figure 2(f)).

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)

Figure 2: Effects of Qigong on symptoms of SCL-90 and psychological health of DSQL in subjects with chronic illnesses.

Besides depression and anxiety, meta-analysis of other symptoms of SCL-90 were also performed in the same three studies. We found significant differences between groups in total SCL-90 score ( to −0.20), somatization (), obsessive-compulsive (   to  −0.06), interpersonal sensitivity (, −0.68 to −0.10), anger-hostility (, −0.80 to −0.17), phobic anxiety (, −0.58 to −0.01), psychotism (, −0.83 to −0.24) and paranoid ideation (, −0.62 to −0.05). All the above outcomes were with (Figures 2(a)–2(d), 2(g)–2(j)).

Two RCTs were included in the meta-analysis of psychological health measured by Diabetes Specific Quality of Life Scale (DSQL) [29, 36]. Baseline characteristics were reasonably well balanced between the Qigong group and the control group for the two trials. At endpoint, there was a significant difference between the two groups on psychological health (). Results of the individual trials for DSQL are presented in Table 4.

We also found significant differences between groups (, −0.91−0.25), with (Figure 2(k)). Data synthesis showed that Qigong was effective in reducing depression and anxiety and improving psychological well-being among subjects with type II diabetes. Yet the quality of the outcomes measures used in these studies was low (Table 5).

Table 5: Quality assessment of outcome measures in subjects with chronic illnesses.

Quality assessment
Summary of findings

No. of patients
Effect
Quality
Importance

No. of studies
Design
Limitations
Inconsistency
Indirectness
Imprecision
Other considerations
Qigong
Control
Relative (95% CI)
Absolute

Total score (measured with: total score of Symptom Checklist 90 at end of treatment; range of scores: 0–450; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.78 to −0.2)
⨁ ⨁○○

Low
Important³

Somatization (measured with: somatization score of Symptom Checklist 90 at end of treatment; range of scores: 0–48; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.81 to −0.23)
⨁ ⨁○○

Low
Important³

Obsessive-compulsive (measured with: obsessive-complusive score of Symptom Checklist 90 at end of treatment; range of scores: 0–40; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.64 to −0.06)
⨁ ⨁○○

Low
Important³

Interpersonal sensitivity (measured with: interpersonal sensitivity score of Symptom Checklist 90 at end of treatment; range of scores: 0–36; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.68 to −0.1)
⨁ ⨁○○

Low
Important³

Depression (measured with: depression score of Symptom Checklist 90 at end of treatment; range of scores: 0–52; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.58 to 0)
⨁ ⨁○○

Low
Important³

Anxiety (measured with: anxiety score of Symptom Checklist 90 at end of treatment; range of scores: 0–40; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.66 to −0.08)
⨁ ⨁○○

Low
Important³

Anger-hostility (measured with: anger-hostility score of Symptom Checklist 90 at end of treatment; range of scores: 0–24; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.8 to −0.17)
⨁ ⨁○○

Low
Important³

Phobic anxiety (measured with: phobic anxiety score of Symptom Checklist 90 at end of treatment; range of scores: 0–28; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.58 to −0.01)
⨁ ⨁○○

Low
Important³

Psychotism (measured with: psychotism score of Symptom Checklist 90 at end of treatment; range of scores: 0–40; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.83 to −0.24)
⨁ ⨁○○

Low
Important³

Paranoid ideation (measured with: paranoid ideation score of Symptom Checklist 90 at end of treatment; range of scores: 0–24; better indicated by less)

3
Randomised trial
Serious¹
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias²
145
72
—
MD 0

(−0.62 to −0.05)
⨁ ⨁○○

Low
Important³

Psychological health (measured with: psychological score of Diabetes Specific Quality of Life Scale at end of treatment; range of scores: 0–40; better indicated by less)

3
Randomised trial
Serious⁴
No serious inconsistency
No serious indirectness
No serious imprecision
Reporting bias⁵
120
52
—
MD 0

(−0.91 to −0.25)
⨁ ⨁○○

Low
Important³

¹Wang et al. 2008 [30]: lack of allocation concealment and blinding, and failure to adhere to intention to treat principle when indicated; Lin 2007 [32]: lack of blinding; Zhang 2008 [31]: lack of blinding and reporting of some outcomes and not others on the basis of the results, ²Only three small studies were included, ³Further research is very much needed, ⁴Lin 2007 [32]: lack of blinding; Zhang 2008 [31]: lack of blinding and reporting of some outcomes and not others on the basis of the results, ⁵Only two small studies were included.

4. Discussion

The studies in this paper demonstrated that Qigong may have beneficial effects for a variety of populations on a range of psychological well-being measures, including mood, anxiety, depression, general stress management, quality of life, and exercise self-efficacy. The movements of Qigong is relatively easy to learn, when compared to other mind body traditions [2, 4]. Hence, people from diverse backgrounds practice Qigong for a variety of reasons, including exercise, recreation, well-being, self-healing, meditation, self-cultivation, and training for martial arts. We see a great potential for Qigong to be integrated for the prevention and treatment of various chronic illnesses, including psychiatric disorders.

This systematic review highlights the mood and psychological effects of Qigong in addition to its physical effects. The outcomes of the three selected studies showed improvements in psychological well-being, especially when the control intervention does not include active interventions such as exercise. These studies used SCL-90 to measure the pre- and post-outcomes related to Qigong intervention. While SCL-90 is a widely used and well validated measure for psychological outcomes, it is important to point out that it does not provide information on clinical diagnoses of anxiety of depressive disorders. Due to the small number of studies available in this area, and the diverse outcomes used, we limited meta-analysis on patients with diabetes. With more relevant studies in the future, it will be informative to review separately, the anxiety and depressive outcomes among healthy subjects, patients with specific chronic illness (e.g., fibromyalgia, tension headache, etc.), and for patients with specific psychiatric disorders (e.g., generalized anxiety disorder, panic disorder, major depressive disorder, etc.).

Qigong practice usually involves doing Qigong (movements with breathing exercises and visualization), plus peer learning, social support, and positive expectation. All these could have beneficial effects to psychological well being and so all these are encouraged in Qigong practice. We have acknowledged that the outcomes of studying such Qigong practices will not provide us with the information on the question whether Qigong (movements with breathing exercise and visualization) alone is beneficial to psychological well being. Positive expectations or social interactions may add to effects related to the Qigong intervention, to form a multi-component mind-body practices instead of a single (Qigong) intervention.

In this paper, we included studies both from the Chinese and in English databases. We consider this approach a strength as many Qigong studies continue to be originated in China and published in Chinese language. While only one researcher performed literature search in Chinese which may lead to some biases, early Qigong research findings published before 2003 (in English), respectively, 2000 (in Chinese) have not been considered. This approach has substantially limited the literature base for the present review and consequently also its findings. The findings of this study should be interpreted in light of the methodological limitations of the studies reviewed. In both of the English and Chinese studies included in the review, most of them used treatment as usual (and one used a waitlist) for the control group. This may lead to bias since positive outcomes from the study could be due to positive expectations or social interactions rather than to the Qigong intervention. A sham treatment which offers social interaction and positive expectations from receiving an intervention could be a better control for these studies. It will also be important in future studies to control for what has been called the frustrebo effect (i.e., negative effects emanating from subject frustration in not receiving the kind of intervention they feel they need) [42].

The majority of these RCTs were pilot studies on patients with chronic illnesses conducted to collect preliminary data on the efficacy of a group intervention to estimate the effect size needed for a larger, more definitive study. While the studies provided valuable data regarding feasibility and clinical efficacy, the use of a small sample could lead to instability of the outcomes, making it harder to generalize to other populations. In addition, many studies used inadequate blinding of the intervention, which could lead to more favorable responses among the Qigong intervention groups. Most of the cited studies did not provide data on whether participants continued to practice Qigong after the intervention period. Subsequently, long-term psychological effects of Qigong are unclear.

Generally, Qigong practices are considered safe, and there have been few published adverse events [2, 4]. While Qigong induced psychosis has been reported The prevalence has been very low [43, 44]. However, there have been no systematic reviews of its risks either. The potential risks of this practice may have been underestimated, reflecting underreporting of adverse events in studies and in practice. In sum, preliminary evidence from the current literature suggests that Qigong may have positive psychological effects for the chronically ill individuals with symptoms of depression and/or anxiety. However, the studies reviewed generally had significant methodological limitations. Future RCTs with rigorous research design based upon the CONSORT statements [45] are needed to establish the efficacy of Qigong in improving psychological well-being and its potential to be used as interventions for populations with various clinical conditions.

Disclosure

The authors declare that they have no competing interests and no financial benefits to the authors. Each author’s contribution to this paper is as follows: H. Benson and G. Fricchione obtained funding from the U.S. Centers for Disease Control and Prevention for the study. W. Wang obtained funding from the Ministry of Science and Technology of the People’ Republic of China for the study. A. S. Yeung designed the study. F. Wang, J. K. M. Man, and E. Lee conducted the research. F. Wang conducted the meta-analysis. E. Lee, F. Wang, J. K. M. Man, and A. S. Yeung wrote the first draft of the paper. F. Wang, J. K. M. Man, E. Lee, T. Wu, and A. S. Yeung participated in the revision of subsequent drafts. All authors read and approved the final paper.

Acknowledgments

The research was partly funded by the following two projects: (1) U.S. Centers for Disease Control and Prevention: Grant no. 5R01DP000339. (2) The Ministry of Science and Technology of the People’ Republic of China: Grant no. 2008DFA32010. F. Wang and J. K. M. Man are cofirst authors; W. Wang and A. S. Yeung are cosenior authors.

References

K. M. Sancier, “Therapeutic benefits of qigong exercises in combination with drugs,” Journal of Alternative and Complementary Medicine, vol. 5, no. 4, pp. 383–389, 1999.

W. Chodzko-Zajko and R. Jahnke, National Expert Meeting on Qi Gong and Tai Chi: Consensus Report, University of Illinois at Urbana-Champaign, Champaign, Ill, USA, 2005.

E. Zhang, Chinese Qigong, Publishing House of Shanghai University of Traditional Chinese Medicine, Shanghai, China, 1st edition, 1990.

R. Jahnke, The Healing Promise of Qi: Creating Extraordinary Wellness Through Qigong and Tai Chi, Contemporary Books, Chicago, Ill, USA, 2002.

K. Chen and R. Yeung, “A review of qigong therapy for cancer treatment,” Journal of International Society of Life Information Science, vol. 20, no. 2, pp. 532–542, 2002.

R. Jahnke, L. Larkey, C. Rogers, J. Etnier, and F. Lin, “A comprehensive review of health benefits of qigong and tai chi,” American Journal of Health Promotion, vol. 24, no. 6, pp. e1–e25, 2010.

H. Benson, The Relaxation Response, Harper Collins Publishers, New York, NY, USA, 1975.

M. Murphy, S. Donovan, and T. Eugene, The Physical and Psychological Effects of Meditation: A Review of Contemporary Research with a Comprehensive Bibliography, Institute of Noetic Sciences, Petaluma, Calif, USA, 2nd edition, 1997.

M. S. Lee, M. S. Lee, E. S. Choi, and H. T. Chung, “Effects of Qigong on blood pressure, blood pressure determinants and ventilatory function in middle-aged patients with essential hypertension,” American Journal of Chinese Medicine, vol. 31, no. 3, pp. 489–497, 2003.

M. S. Lee, M. S. Lee, H. J. Kim, and E. S. Choi, “Effects of Qigong on blood pressure, high-density lipoprotein cholesterol and other lipid levels in essential hypertension patients,” International Journal of Neuroscience, vol. 114, no. 7, pp. 777–786, 2004.

H. H. Chen, M. L. Yeh, and F. Y. Lee, “The effects of Baduanjin qigong in the prevention of bone loss for middle-aged women,” American Journal of Chinese Medicine, vol. 34, no. 5, pp. 741–747, 2006.

C. Elder, C. Ritenbaugh, S. Mist et al., “Randomized trial of two mind-body interventions for weight-loss maintenance,” Journal of Alternative and Complementary Medicine, vol. 13, no. 1, pp. 67–78, 2007.

M. S. Lee, S. M. Jeong, Y. K. Kim et al., “Qi-training enhances respiratory burst function and adhesive capacity of neutrophils in young adults: a preliminary study,” American Journal of Chinese Medicine, vol. 31, no. 1, pp. 141–148, 2003.

J. M. Manzaneque, F. M. Vera, E. F. Maldonado et al., “Assessment of immunological parameters following a qigong training program,” Medical Science Monitor, vol. 10, no. 6, pp. CR264–CR270, 2004.

M. S. Lee, H. J. Lim, and M. S. Lee, “Impact of qigong exercise on self-efficacy and other cognitive perceptual variables in patients with essential hypertension,” Journal of Alternative and Complementary Medicine, vol. 10, no. 4, pp. 675–680, 2004.

M. S. Lee, M. S. Lee, H. J. Kim, and S. R. Moon, “Qigong reduced blood pressure and catecholamine levels of patients with essential hypertension,” International Journal of Neuroscience, vol. 113, no. 12, pp. 1691–1701, 2003.

M. S. Lee, M. H. Pittler, R. Guo, and E. Ernst, “Qigong for hypertension: a systematic review of randomized clinical trials,” Journal of Hypertension, vol. 25, no. 8, pp. 1525–1532, 2007.

D. Burini, B. Farabollini, S. Iacucci et al., “A randomised controlled cross-over trial of aerobic training versus Qigong in advanced Parkinson's disease,” Europa Medicophysica, vol. 42, no. 3, pp. 231–238, 2006.

M. S. Lee, K. W. Chen, K. M. Sancier, and E. Ernst, “Qigong for cancer treatment: a systematic review of controlled clinical trials,” Acta Oncologica, vol. 46, no. 6, pp. 717–722, 2007.

T. Stenlund, B. Lindström, M. Granlund, and G. Burell, “Cardiac rehabilitation for the elderly: Qi Gong and group discussions,” European Journal of Cardiovascular Prevention and Rehabilitation, vol. 12, no. 1, pp. 5–11, 2005.

B. Lansinger, E. Larsson, L. C. Persson, and J. Y. Carlsson, “Qigong and exercise therapy in patients with long-term neck pain: a prospective randomized trial,” Spine, vol. 32, no. 22, pp. 2415–2422, 2007.

K. Mannerkorpi and M. Arndorw, “Efficacy and feasibility of a combination of body awareness therapy and qigong in patients with fibromyalgia: a pilot study,” Journal of Rehabilitation Medicine, vol. 36, no. 6, pp. 279–281, 2004.

C. E. Rogers, L. K. Larkey, and C. Keller, “A review of clinical trials of tai chi and qigong in older adults,” Western Journal of Nursing Research, vol. 31, no. 2, pp. 245–279, 2009.

K. Yang, How to Write a systematic Review, People's Medical Publishing House, Beijing, China, 2010.

J. P. T. Higgins and S. G. Thompson, “Quantifying heterogeneity in a meta-analysis,” Statistics in Medicine, vol. 21, no. 11, pp. 1539–1558, 2002.

J. P. T. Higgins, S. G. Thompson, J. J. Deeks, and D. G. Altman, “Measuring inconsistency in meta-analyses,” British Medical Journal, vol. 327, no. 7414, pp. 557–560, 2003.

J. Cohen, “A coefficient of agreement for nominal scales,” Educational and Psychological Measurement, vol. 20, pp. 37–346, 1960.

R. Huo, Study on Effect of Qigong Baduanjin on Quality of Life and Depression of Patients With Type 2 Diabetes Mellitus Co-Morbid Depression in Community, Beijing University of Chinese Medicine, Beijing, China, 2010.

X. Jin, The Comparison Study of Body-Building Among Health Qigong, Tai Chi and Yangko to the Elderly, Hebei Normal University, Hebei, China, 2010.

F. Wang, W. Wang, R. Zhang et al., “Clinical observation on physiological and psychological effects of Eight-Section Brocade on type 2 diabetic patients,” Journal of Traditional Chinese Medicine, vol. 28, no. 2, pp. 101–105, 2008.

R. Zhang, Clinical Study on Metabolism of Glucose and Lipid and SCL-90 of Type 2 Diabetic Patients With Insomnia, Academy of Chinese Medical Sciences, Beijing, China, 2008.

Y. Lin, Effect of Different Qigong Practice in the Aspects of Psychological State, Life Quality and Glycometabolism in Patients With Type 2 Diabetes, Academy of Chinese Medical Sciences, Beijing, China, 2007.

H. Liu, H. An, F. Meng, B. Hu, Y. Wei, and F. Meng, “A survey about the effect of Eight-Section Brocade to the mental health of students in medical college,” Medicine Society, vol. 21, pp. 63–64, 2008.

B. Cheung, J. L. F. Lo, D. Y. T. Fong, et al., “Randomised controlled trial of qigong in the treatment of mild essential hypertension,” Journal of Human Hypertension, vol. 19, pp. 697–704, 2005.

J. M. Griffith, J. P. Hasley, H. Liu, D. G. Severn, L. H. Conner, and L. E. Adler, “Qigong stress reduction in hospital staff,” Journal of Alternative and Complementary Medicine, vol. 14, no. 8, pp. 939–945, 2008.

M. Johansson, P. Hassmén, and J. Jouper, “Acute effects of Qigong exercise on mood and anxiety,” International Journal of Stress Management, vol. 15, no. 2, pp. 199–207, 2008.

M. S. Lee, H. J. Huh, S. Hong et al., “Psychoneuroimmunological effects of Qi-therapy: preliminary study on the changes of level of anxiety, mood, cortisol and melatonin and cellular function of neutrophil and natural killer cells,” Stress Health, vol. 17, pp. 17–24, 2001.

B. Oh, P. Butow, B. Mullan et al., “Impact of Medical Qigong on quality of life, fatigue, mood and inflammation in cancer patients: a randomized controlled trial,” Annals of Oncology, vol. 21, no. 3, pp. 608–614, 2010.

L. Skoglund, M. Josephson, K. Wahlstedt, E. Lampa, and D. Norbäck, “Qigong training and effects on stress, neck-shoulder pain and life quality in a computerised office environment,” Complementary Therapies in Clinical Practice, vol. 17, no. 1, pp. 54–57, 2011.

H. W. H. Tsang, K. M. T. Fung, A. S. M. Chan, G. Lee, and F. Chan, “Effect of a qigong exercise programme on elderly with depression,” International Journal of Geriatric Psychiatry, vol. 21, no. 9, pp. 890–897, 2006.

H. W. H. Tsang, C. K. Mok, Y. T. Au Yeung, and S. Y. C. Chan, “The effect of Qigong on general and psychosocial health of elderly with chronic physical illnesses: a randomized clinical trial,” International Journal of Geriatric Psychiatry, vol. 18, no. 5, pp. 441–449, 2003.

M. Power and K. Hopayian, “Exposing the evidence gap for complementary and alternative medicine to be integrated into science-based medicine,” Journal of the Royal Society of Medicine, vol. 104, no. 4, pp. 155–161, 2011.

Z. Chen and J. Yao, “Four cases report of psychosis induced by Qigong,” China Medical Herald, vol. 7, no. 6, pp. 130–131, 2010.

W. Xu, X. Wang, and W. Tao, “A follow-up comparative study on 82 cases with mental disorders related to Qigong,” Journal of Clinical Psychiatry, vol. 18, no. 1, pp. 18–20, 2008.

K. F. Schulz, D. G. Altman, and D. Moher, “CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials,” British Medical Journal, vol. 340, p. c332, 2010.