Abstract
Background and objective
As the population ages, the health of older adults is becoming a public health concern. Falls are a significant threat to their health due to weakened balance. This study aims to investigate the beneficial effects of Tai Chi on fall prevention and balance improvement in older adults.
Methods
We conducted a systematic review and meta-analysis of randomized controlled trials related to Tai Chi, falls, and balance ability, searching PubMed, Embase, and Cochrane Library databases from their establishment until December 31, 2022. Two independent reviewers performed the search, screening of results, extraction of relevant data, and assessment of study quality. This study followed the PRISMA guidelines for systematic review and meta-analysis.
Results
Totally 24 RCTs were included for meta-analysis, and the results showed that Tai Chi can effectively reduce the risk of falls in older adults (RR: 0.76, 95% CI: 0.71 to 0.82) and decrease the number of falls (MD [95% CI]: −0.26 [−0.39, −0.13]). Tai Chi can also improve the balance ability of older adults, such as the timed up and go test (MD [95% CI]: −0.69 [−1.09, −0.29]) and the functional reach test (MD [95% CI]: 2.69 [1.14, 4.24]), as well as other balance tests such as single-leg balance test, Berg balance scale, and gait speed (p < 0.05). Subgroup analysis showed that Tai Chi is effective for both healthy older adults and those at high risk of falls (p < 0.001), and its effectiveness increases with the duration and frequency of exercise. In addition, the effect of Yang-style Tai Chi is better than that of Sun-style Tai Chi.
Conclusion
Tai Chi is an effective exercise for preventing falls and improving balance ability in older adults, whether they are healthy or at high risk of falling. The effectiveness of Tai Chi increases with exercise time and frequency. Yang-style Tai Chi is more effective than Sun-style Tai Chi.
Systematic review registration
https://clinicaltrials.gov/, identifier CRD42022354594.
Keywords: Tai Chi, fall, balance, older adults, meta-analysis
1. Introduction
The global population is currently experiencing an aging trend, and it is predicted that by the mid-21st century, individuals aged 60 years and above will constitute approximately 20% of the total population (1, 2). As individuals age, physiological changes are inevitable, leading to challenges such as decreased balance ability, weakened muscle strength, and a higher risk of falling (3). Falls are a primary cause of injuries among the older adult, which can result in severe consequences such as fractures, head injuries, and even death, placing a significant burden on the public health system (4). Annually, between 28 and 35% of individuals aged 65 years and older experience falls worldwide, with rates reaching 32–42% among those over 70 years of age (5). Therefore, preventing falls has become a critical global objective for the older adult population.
Tai Chi is a distinctive form of exercise that involves movements primarily performed in a semi-squatting position. These movements require a continuous shift in the body’s center of gravity, incorporating posture control, trunk rotation, weight transfer, and strength training. All these features are advantageous for improving balance and strength, reducing the risk of falling and the fear of falling (6–8). In comparison to other types of exercise, Tai Chi practice has fewer requirements for equipment, venues, and caregivers, making it a more accessible form of exercise to promote (9).
However, previous recommendations regarding Tai Chi as an effective tool for reducing the risk of falling may be limited due to a small number of selected studies, a lack of subgroup analysis on factors such as Tai Chi style, exercise time and frequency, and balance ability analysis (10, 11). Considering the insufficient information available on the impact of Tai Chi on fall prevention among the older adult, this current systematic review aims to explore the recent randomized controlled trials (RCTs) that analyze the effective reduction of fallers, fall rates, and improvement of balance ability in the older adult through the practice of Tai Chi. This systematic review provides valuable insights for using Tai Chi as an intervention for fall prevention in the older adult.
2. Methods
Our systematic review was performed following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (12) and was registered with PROSPERO using the registration number CRD42022354594.
2.1. Search strategy
We conducted a search of databases such as PubMed, EMBASE, and the Cochrane Library using a specific search strategy for each database, covering literature from inception up to December 31, 2022. Additionally, we conducted a review of the references of each included study to ensure that no relevant papers were missed during the search. The full search strategy is available in Supplementary Table S1.
2.2. Inclusion criteria for the study
(1) Participants: older adult people aged ≥60 years, as defined by the World Health Organization (13, 14).
(2) Inventions: any form of Tai Chi exercise.
(3) Controls: receiving either exercise that is stretching or other low-level exercises, usual care, or wellness education.
(4) Outcomes: the number of fallers (participants who experienced at least one fall), average number of falls per person, and balance assessment indicators including the timed up and go (TUG) test, functional reach test (FRT), single leg balance test (SLB), Berg balance scale (BBS), short physical performance battery (SPPB) score, fall efficacy scale (FES), and gait speed assessment. Among these, FRT is a simple, practical, and widely used clinical tool to assess an individual’s balance capability and risk of falling. In this test, the maximum distance an individual can reach forward while maintaining a fixed support base in a standing position is measured.
(5) Study: only include RCTs in English.
2.3. Management of the study and retrieval of data
After eliminating duplicate studies using Endnote software, two reviewers (W.C. and M.L.) independently selected eligible studies and extracted relevant data. In case of any discrepancies, the reviewers reached a consensus through discussion and negotiation. The collected data included the author’s name, year of publication, sample size, older adult population, health status, age, Tai Chi style, frequency, total exercise time, and follow-up time and outcomes.
2.4. Assessment of study quality
The assessment parameters for the evaluation of study quality included random sequence generation, allocation concealment, blinding of participants and assessors, handling of incomplete outcome data, selective reporting, and other biases. Each item was assessed as having “low risk,” “unclear risk,” or “high risk.” Two reviewers (W.C. and M.L.) independently assessed the data using the Cochrane Risk of Bias tool (15) and resolved any discrepancies through mutual discussion based on justifications.
2.5. Data analysis
The effect size of binary variables was represented by the risk ratio (RR) with a 95% confidence interval (CI), and the effect size of continuous variables was represented by the mean difference (MD) with a 95% CI, evaluated using a random-effects model. The I2 statistic was used to evaluate the heterogeneity among studies, where I2 < 50% indicated low heterogeneity and I2 ≥ 50% indicated significant heterogeneity. Subgroup analysis was performed on exposure time, Tai Chi style, weekly frequency, risk of fall, and follow-up time.
Sensitivity analysis was performed by using the one-by-one exclusion method and excluding studies with a small number of participants to test the stability of the outcomes. For each result that included 10 or more original trials, we used funnel plots to test for publication bias, and assessed the symmetry of the funnel plot using Egger’s test and Begg’s test (16, 17). If the funnel plot was asymmetric, we used the trim-and-fill method for adjustment (18). A two-tailed p < 0.05 was considered statistically significant. All analyses were conducted using RevMan 5.3 and Stata 14.0 software.
3. Results
3.1. Study selection and characteristics
A total of 1948 articles were initially searched, of which 837 duplicates and 25 articles without titles were excluded automatically. An additional 828 articles were excluded by reading titles and abstracts. From the remaining 258 articles, 88 were conference papers, other reports, and reviews. Further exclusions were made for 33 non-RCT, 85 articles with incomplete data or unrelated research content, and 28 articles for other reasons. In the end, 24 articles (with one or more outcomes) were included for analysis (7, 8, 19–40) (Figure 1).
Figure 1.
PRISMA study selection flowchart.
Among the 24 articles, 6 reported participants with a history of falls (7, 24, 27, 29, 30, 36), and 5 reported patients with a history of neurological diseases such as stroke or Parkinson’s disease (8, 21, 35, 37, 38). The Tai Chi styles used in the interventions were mainly Sun-style (19, 25, 33, 34, 36, 39) or Yang-style (7, 21, 23, 24, 26, 32, 35, 37, 40), with one article using Chen-style (30) and others not specifying. Exercise frequency ranged from one to three times a week, with one article reporting five times a week (23). Total exercise time was mainly within 72 h, with one article reporting 96 h (19) and another reporting 144 h (40). Follow-up periods were ≤ 3 months in 6 articles (25, 30, 32–35), 3–6 months in 9 articles (8, 20, 23, 26–28, 36, 37, 39), 6–12 months in 7 articles (7, 19, 21, 22, 29, 38, 40), and > 12 months in 2 articles (24, 31) (Table 1).
Table 1.
Characteristics of included studies.
| Study year | Country | Risk of falls | Age | Tai Chi/Control (n) | Intensity | Exposure Time (h) | Follow-up time |
|---|---|---|---|---|---|---|---|
| Day et al. (19) | Australia | Non-high risk | 77.6 | Sun style Tai Chi (205) | Twice a week for 48 weeks, 60 min per session. | 96 | 12 months |
| 77.8 | Stretching (204) | ||||||
| Faber et al. (20) | Netherlands | Non-high risk | 84.4 | Tai Chi (80) | Once a week for 4 weeks, followed by twice weekly for 16 weeks. 90 min per session | 54 | 5 months |
| 85.4 | Functional walking (66) | ||||||
| 84.9 | No intervention (92) | ||||||
| Gao et al. (21) | American | Parkinson’s disease and history of falls# | 69.54 | Yang style Tai Chi (40) | Three sessions per week for 12 weeks, 60 min per session. | 36 | 12 months |
| 68.28 | Usual care (40) | ||||||
| Huang et al. (22) | China | Non-high risk | 71.40 | Tai Chi (31) | Three sessions per week for 20 weeks,60 min per session. | 60 | 12 months |
| 71.50 | No Tai Chi (47) | ||||||
| Huang et al. (23) | China | Non-high risk | >60 | Yang style Tai Chi (62) | Five sessions per week for 8 weeks, 60 min per session. | 40 | 6 months |
| Cognitive Intervention (62) | |||||||
| No intervention (62) | |||||||
| Hwang et al. (24) | China | History of falls | 72.0 | Yang style Tai Chi (182) | Once a week for 6 months, 60 min per session. | 24 | 18 months |
| 72.7 | Balance training (175) | ||||||
| Kim et al. (25) | South Korea | Non-high risk | 71.4 | Sun style Tai Chi (23) | Twice a week for 12 weeks, 60 min per session. | 24 | 3 months |
| 70.9 | Taekwondo (23) | ||||||
| Li et al. (26) | American | Non-high risk | 77.4 | Yang-style Tai Chi (125) | Three times per week for 6 months, 60 min per session. | 72 | 6 months |
| 77.4 | Stretching (131) | ||||||
| Li et al. (8) | American | Parkinson’s disease￥ | 68 | Tai Chi (65) | Twice a week for 24 weeks, 60 min per session. | 48 | 6 months |
| 69 | Resistance (65) | ||||||
| 69 | Stretching (65) | ||||||
| Li et al. (27) | American | History of falls | 77.5 | Tai Chi (224) | Twice a week for 24 weeks, 60 min per session. | 48 | 6 months |
| 77.8 | Multimodal Exercise (223) | ||||||
| 77.8 | Stretching (223) | ||||||
| Li et al. (28) | American | Non-high risk | 76.13 | Tai Chi (15) | Three sessions per week for 24 weeks, 60 min per session. | 72 | 6 months |
| 76.20 | Stretching (15) | ||||||
| Logghe et al. (29) | Netherlands | History of falls | 77.5 | Yang-style Tai Chi (138) | Twice a week for 13 weeks, 60 min per session. | 26 | 12 months |
| 76.8 | Usual care (131) | ||||||
| Ni et al. (30) | American | History of falls | 70.27 | Chen-style Tai Chi (11) | Twice a week for 12 weeks, 60 min per session. | 24 | 3 months |
| 77.80 | Balance training (15) | ||||||
| Nowalk et al. (31) | American | Non-high risk | 82.8 | Tai Chi (38) | Three times per week | – | 24 months |
| 85.5 | FNBF exercise (37) | ||||||
| 85.9 | Basic enhanced program (35) | ||||||
| Penn et al. (32) | China | Non-high risk | 75.3 | Yang-style Tai Chi (15) | Three sessions per week for 8 weeks, 30 min per session. | 12 | 2 months |
| 73.4 | Wellness education (15) | ||||||
| Pluchino et al. (33) | American | Non-high risk | 69.3 | Sun-style Tai Chi (14) | Twice a week for 8 weeks, 60 min per session. | 16 | 2 months |
| 76.0 | Standard balance item (14) | ||||||
| Son et al. (34) | South Korea | Non-high risk | 72.8 | Sun-style Tai Chi (21) | Twice a week for 12 weeks, 60 min per session. | 24 | 3 months |
| 71.5 | Balance training (24) | ||||||
| Taylor et al. (36) | American | Post-stroke￥ | 72.8 | Yang-style Tai Chi (12) | Three sessions per week for 12 weeks, 50 min per session. | 30 | 3 months |
| 64.5 | Usual care (16) | ||||||
| Taylor et al. (35) | New Zealand | History of falls | 75.3 | Sun-style Tai Chi (223) | Once/twice a week for 20 weeks, 60 min per session. | 20 | 5 months |
| 74.4 | Sun-style Tai Chi (220) | 40 | |||||
| 73.7 | Low-level exercise (231) | ||||||
| Taylor et al. (37) | American | Post-stroke | 71.5 | Yang-style Tai Chi (30) | Three sessions per week for 12 weeks, 60 min per session. | 36 | 5 months |
| 69.6 | Usual community-based exercise (31) | ||||||
| 68.2 | Usual care (28) | ||||||
| Tousignant et al. (38) | Canada | Frail older adults* and history of falls | 79.1 | Tai Chi (76) | Twice a week for 15 weeks, 60 min per session. | 30 | 12 months |
| 80.7 | Conventional physical therapy (76) | ||||||
| Voukelatos et al. (39) | Australia | Non-high risk | Mean 69 year | Sun (83%) or Yang-style Tai Chi (353) | Once a week for 16 weeks, 60 min per session | 16 | 4 months |
| No Tai Chi (349) | |||||||
| Wolf et al. (7) | American | History of falls | 80.9 | Yang-style Tai Chi (145) | Twice a week for 48 weeks, 30 ~ 45 min per session | 48–64 | 12 months |
| 80.9 | Wellness education (141) | ||||||
| Woo et al. (40) | China | Non-high risk | 68.9 | Yang-style Tai Chi (60) | Three times per week for 12 months，60 min per session. | 144 | 12 months |
| 68.8 | Resistance training (60) | ||||||
| 68.1 | No intervention (60) |
*Types of diagnoses varied from stroke/neurological diseases, musculoskeletal and gait disorders.
#At least one fall in the past 12 months.
￥Occurred in the past 6 months.
3.2. Evaluating the risk of bias
Due to the appropriate methods used in random sequence generation and allocation concealment, 22 (8, 19–31) or 17 (8, 19, 20, 23–28, 31, 33, 35–40) articles were considered low risk, respectively. In addition, only 7 articles (7, 8, 20, 26, 29, 36, 38) were considered low risk due to the difficulty in blinding participants, while 19 articles used blinding well in assessing outcomes (7, 8, 19–21, 23–29, 32, 34–37, 39, 40). In terms of incomplete outcome data and selective reporting, 21 (8, 19–21, 23–35, 37–40) and 22 (8, 19–27, 29–32) articles were considered low bias, respectively (Figure 2 and Supplementary Figure S1).
Figure 2.
Risk of bias graph.
3.3. Number of fallers
A total of 18 studies provided data on the number of fallers (7, 8, 19–24, 26–29, 31, 36–40), and meta-analysis found that Tai Chi exercise could significantly reduce the number of fallers (1,041/2766 VS. 1,321/2703; RR: 0.76, 95% CI: 0.71–0.82, I2: 25%, p < 0.001) (Figure 3A). Sensitivity analysis was performed by sequentially excluding each trial or removing studies with fewer than 100 participants, and the results showed that there was no significant change in statistical significance and heterogeneity. Subgroup analysis showed that Tai Chi could prevent falls in any population at risk, regardless of the overall duration of Tai Chi exercise, follow-up time, or Tai Chi style (Sun or Yang) (all p < 0.01). However, in terms of exercise frequency, exercising twice (7, 8, 19, 20, 27, 29, 36, 38) or ≥ 3 times (21–23, 26, 28, 31, 37, 40) per week showed more significant benefits than exercising once a week (RR [95% CI] were 0.78 [0.73, 0.84] and 0.67 [0.58, 0.79], respectively) (Table 2).
Figure 3.
Forest plot comparing Tai Chi with control group. (A) Number of fallers. (B) Rate of falls. CI, confidence interval; RR, risk ratio.
Table 2.
Subgroup analysis of fallers.
| Subgroup | Included studies | Tai Chi group positive/total | Control group positive/total | Heterogeneity (I2) | RR [95% CI] | p | Test for subgroup difference |
|---|---|---|---|---|---|---|---|
| Exposure time (h) | 0.69 | ||||||
| ≤24 | 4 (23, 24, 37, 39) | 247/818 | 304/803 | 75% | 0.74 [0.53, 1.02] | 0.06 | |
| 24 ~ 48 | 7 (8, 21, 27, 29, 36–38) | 422/1082 | 561/1069 | 15% | 0.74 [0.68, 0.82] | <0.001 | |
| >48 | 7 (7, 19, 20, 22, 26, 28, 40) | 328/790 | 403/759 | 0 | 0.76 [0.69, 0.85] | <0.001 | |
| Tai Chi style | 0.004 | ||||||
| Sun | 3 (19, 37, 39) | 413/1004 | 473/1004 | 0% | 0.88 [0.81, 0.97] | 0.008 | |
| Yang | 9 (7, 21, 23, 24, 26, 29, 37, 40) | 244/833 | 829/1822 | 36% | 0.76 [0.68, 0.86] | <0.001 | |
| Weekly frequency | 0.22 | ||||||
| Once | 3 (24, 36, 39) | 244/762 | 296/743 | 81% | 0.76 [0.55, 1.06] | 0.11 | |
| Twice | 8 (7, 8, 19, 20, 27, 29, 36, 38) | 664/1514 | 815/1455 | 4% | 0.78 [0.73, 0.84] | <0.001 | |
| ≥Three times | 8 (21–23, 26, 28, 31, 37, 40) | 133/490 | 210/505 | 0 | 0.67 [0.58, 0.79] | <0.001 | |
| Risk of fall | 0.18 | ||||||
| Non-high risk | 9 (19, 20, 22, 23, 26, 28, 31, 39, 40) | 377/1124 | 460/1087 | 0 | 0.78 [0.71, 0.86] | <0.001 | |
| History of falls only | 5 (7, 24, 27, 29, 35) | 581/1366 | 738/1355 | 62% | 0.78 [0.69, 0.89] | <0.001 | |
| Falls related diseases | 4 (8, 21, 37, 38) | 83/276 | 123/261 | 0 | 0.42 [0.54, 0.80] | <0.001 | |
| Follow-up time | 0.71 | ||||||
| ≤6 months | 9 (8, 20, 23, 26–28, 36, 37, 39) | 659/1784 | 820/1729 | 15% | 0.77 [0.71, 0.84] | <0.001 | |
| 6 ~ 12 months | 7 (7, 19, 21, 22, 29, 38, 40) | 297/724 | 373/727 | 32% | 0.77 [0.67, 0.89] | <0.001 | |
| >12 months | 2 (24, 31) | 85/258 | 1228/247 | 56% | 0.69 [0.51, 0.91] | 0.009 |
RR, risk ratio.
3.4. Rate of falls
According to 15 articles providing the total number of falls, the Tai Chi group had a lower incidence of falls compared to the control group (1816/2539 VS. 2,681/2475, IRR, 0.66) (see Supplementary Table S2) (7, 8, 19–21, 23, 24, 26–29, 36–39). Among them, 9 articles provided mean and standard deviation information (7, 20, 21, 23, 24, 27, 28, 38, 39). Tai Chi significantly reduced the number of falls per person (MD [95%CI]: −0.26 [−0.39, −0.13], I2 = 61%, p < 0.001) (Figure 3B). Excluding the Li et al. study effectively reduced heterogeneity (I2 = 49%), but did not significantly affect the results (−0.12 [−0.17, −0.06], p < 0.001) (7, 20, 21, 23, 24, 28, 38, 39). Moreover, studies excluding fewer participants did not significantly change the results (−0.12 [−0.18, −0.07], p < 0.001) (7, 20, 23, 24, 38, 39). Subgroup analysis showed that Tai Chi is more effective in reducing falls per person with longer exercise time (p = 0.15, 0.02, and < 0.01, respectively), and that Yang-style Tai Chi is more effective than Sun-style Tai Chi (p < 0.01 and = 0.09, respectively). Furthermore, regardless of the exercise follow-up duration (≤6 months, 6 ~ 12 months, or > 12 months), Tai Chi exercise was found to significantly reduce the number of falls per person (p = 0.01, <0.01, and < 0.01, respectively) (Supplementary Table S3). These findings can be used to design better Tai Chi interventions for fall prevention.
3.5. Timed up and go test
Meta-analysis of 12 studies showed that Tai Chi can significantly reduce TUG time (MD [95%CI]: −0.69 [−1.09, −0.29], p < 0.001) (Figure 4A) (8, 21, 22, 25–28, 30, 32–34, 36). Sensitivity analysis was conducted by sequentially deleting each trial and excluding studies with smaller sample sizes, and the significance and heterogeneity of the results remained unchanged. With increasing exercise time and frequency, Tai Chi was more effective in reducing TUG time (p = 0.93, 0.01, and <0.001; p = 0.76, 0.28, and <0.001, respectively). Yang-style Tai Chi was more effective than Sun-style Tai Chi (p < 0.01 and = 0.66, respectively). In addition, Tai Chi can shorten TUG time in older adult people with falls related diseases (p = 0.02) (Supplementary Table S4) (21, 38).
Figure 4.
Forest plot comparison of balance ability between Tai Chi group and control group. (A) TUG. (B) FRT. CI, confidence interval; MD, mean difference; TUG, timed up and go; FRT, functional reach test.
3.6. Functional reach test
Meta-analysis of 9 studies providing FRT data has shown that the functional reach distance of practicing Tai Chi was significantly greater than that of the control group (MD [95%CI]: 2.69 [1.14, 4.24], p < 0.001) (Figure 4B) (8, 22, 25–27, 30, 32–34). Sensitivity analysis, conducted by sequentially excluding each study or studies with smaller sample sizes, did not significantly alter the results (all p < 0.01). Subgroup analysis revealed that Yang-style Tai Chi was more effective than Sun-style Tai Chi (p < 0.001 and 0.82, respectively), and practicing Tai Chi twice a week had a better effect (p < 0.001). Furthermore, Tai Chi was found to be particularly effective in improving FRT test scores in older adult individuals with a history of falls or fall-related diseases (p = 0.003 and < 0.001, respectively) (Supplementary Table S5).
3.7. Other outcomes
Through a meta-analysis of other fall or balance ability tests, it was found that Tai Chi can effectively lengthen SLB test times (including with eyes open and closed) (MD [95% CI]: 9.63 [5.87, 13.40], p < 0.001) (25, 26, 30, 33, 34), increase BBS scores (MD [95% CI]: 1.80 [0.09, 3.51], p = 0.04) (21, 26, 29, 32), and improve gait speed (MD [95% CI]: 9.26 [1.00, 17.52], p = 0.03) (8, 25, 26, 34). In addition, Tai Chi did not have a significant effect on overall SPPB scores (27, 35, 37) or FES scores (24, 29, 34) (MD [95% CI]: −0.07 [−1.07, 0.93], 0.17 [−0.49, 0.83]; p = 0.89, 0.61; respectively) (Table 3).
Table 3.
Other outcomes.
| Outcomes | Included studies | Tai Chi group | Control group | Heterogeneity (I2) | MD [95% CI] | p |
|---|---|---|---|---|---|---|
| SLB | 5 (25, 26, 30, 33, 34) | 330 | 353 | 69% | 9.63 [5.87, 13.40] | <0.001 |
| BBS | 4 (21, 26, 29, 32) | 315 | 316 | 65% | 1.80 [0.09, 3.51] | 0.04 |
| Gait speed | 4 (8, 25, 26, 34) | 299 | 308 | 91% | 9.26 [1.00, 17.52] | 0.03 |
| SPPB scores | 3 (27, 35, 37) | 524 | 517 | 90% | −0.07 [−1.07, 0.93] | 0.89 |
| FES | 3 (24, 29, 34) | 334 | 320 | 10% | 0.17 [−0.49, 0.83] | 0.61 |
MD, mean difference; CI, confidence interval; SLB, single leg balance test; BBS, Berg balance scale; SPPB, short physical performance battery; FES, fall efficacy scale.
3.8. Publication bias
Publication bias analyses were conducted on the results of more than 10 studies on fallers and TUG. It was found that there was a significant publication bias in the Fallers results (Begg’s test: 0.014 and Egger’s test: 0.003) (Figure 5A). The trim-and-fill method was used to adjust for publication bias, and the outcome still showed statistical differences (p < 0.001). In addition, there was no significant publication bias in the TUG results (Begg’s test: 0.092, Egger’s test: 0.315) (Figure 5B).
Figure 5.
Publication bias. (A) Number of fallers. (B) TUG. CI, confidence interval; RR, risk ratio; TUG, timed up and go.
4. Discussion
In the meta-analysis, Tai Chi exercise can effectively decrease the rate of fallers and number of falls in older adults, including those with a high risk of falling, while also improving their balance, as measured by TUG, FRT, SLB, BBS score, or gait speed. The effectiveness of Tai Chi increases with the duration and frequency of exercise. Furthermore, Yang-style Tai Chi was found to be more effective than Sun-style Tai Chi. Sensitivity analysis by excluding individual studies and those with small sample sizes did not significantly alter the outcomes.
The importance of Tai Chi for older adults is increasingly recognized in research. Past meta-analyses have found that Tai Chi can improve cognitive abilities (41), enhance the quality of life and alleviate symptoms related to cancer (42), and relieve chronic pain (43), among other benefits. Our study results, in comparison to previous systematic reviews, consistently find that Tai Chi is indeed effective in preventing falls among the older adult. However, there is a lack of exploration regarding the results of improving balance and the relationship between improving balance and preventing falls (4, 44, 45). By including more RCTs, our research not only investigates Tai Chi’s role in fall prevention but also explores whether it is related to enhancing balance abilities. Moreover, our study adds more nuances to these findings. For example, the differences in various Tai Chi practices, exercise durations, and frequencies, could guide future Tai Chi exercise instructions more effectively.
Compared to other exercise interventions or non-interventions, Tai Chi is an effective fall prevention method for the older adult and has been validated in previous studies (10, 11, 44). This study included more updated randomized controlled trials and examined the impact of Tai Chi on balance ability. The fall prevention effect of Tai Chi may stem from its ability to improve balance (7, 21, 26). The study found that Tai Chi can not only improve static balance (e.g., SLB), but also dynamic balance (e.g., TUG and gait speed), and enhance postural control (e.g., FRT). Tai Chi exercise conforms to the statics balance theory, where the main factors affecting human balance are the size of the support surface and the height of the center of gravity (46). Therefore, Tai Chi can improve the ability of the older adult to control their center of gravity and adjust their posture, thereby improving balance ability (47, 48).
Tai Chi movements require a semi-squat position and involve concentric and eccentric contractions of leg muscles at varying degrees during practice, which has been reported to significantly enhance lower limb strength and endurance in the older adult (49, 50). Tai Chi practice also provides moderate aerobic exercise and flexibility training, which can improve cognitive function in older adults (41, 51). The enhancement of muscle strength is associated with the improvement of physical fitness and mental quality of life in the older adult (52). Compared to stretching training, Tai Chi’s precise joint control and muscle coordination helps achieve better balance control (53). Additionally, Tai Chi’s unique meditation component can improve attention and cognitive function, enhancing body control and balance ability in older adults (54). Therefore, Tai Chi’s unique exercise characteristics are an important factor in its success in fall prevention among the older adult, reducing hospitalization rates associated with falls in the community (55). These mechanisms may explain Tai Chi’s role in enhancing balance ability and preventing falls, with significant effects observed over certain follow-up periods. Although some studies have suggested that the protective effect of Tai Chi on fall prevention in the short-term appears to be greater than in the long-term, indicating a potential loss of effectiveness over time (11), this may be due to inconsistencies in the duration of Tai Chi exercise and follow-up time in some studies. It was discovered in our study that Tai Chi’s improvement in balance ability and fall prevention effectiveness increases with longer exercise duration and frequency. A meta-analysis showed that the optimal total exercise time is between 50 and 72 h with 3 exercise sessions per week (56). However, the optimal exercise frequency and duration per week remain unclear. This necessitates further in-depth research on our part.
This study found that Tai Chi is effective not only for healthy older adults but also for those at high risk of falling. In studies on stroke and Parkinson’s disease patients, Tai Chi was found to improve balance ability and prevent falls after stroke, and Tai Chi training was effective in improving the motor ability of stroke patients (48, 56). Further research is needed to evaluate Tai Chi as an adjunctive rehabilitation method, an effective alternative rehabilitation option, or a maintenance strategy. Additionally, Tai Chi can improve cognitive function and immunity in older adults (57, 58). Cost–benefit studies of fall prevention strategies have shown that Tai Chi is the most cost-effective exercise among older adults living in the community (59). Therefore, Tai Chi’s role in the older adult population is universal.
The strengths of our study lie in the inclusion of more recent RCT studies for analysis, the implementation of multiple subgroup analyses based on study characteristics, and the strict execution of sensitivity analyses. However, our study is not without limitations. Firstly, our selection of only English-language literature and specific criteria-based studies may have introduced selection bias. Secondly, the results of our research are only applicable to standard Tai Chi classes, not personalized courses, indicating a need for further investigation into the effects of personalized Tai Chi courses on older adult rehabilitation. Thirdly, despite conducting sensitivity and subgroup analyses, potential heterogeneity across studies may still impact the stability of our results. Lastly, our study only compares Tai Chi exercises with traditional non-Tai Chi exercises, yet a myriad of emerging technologies designed to enhance the quality of life for the older adult warrant further comparative research and exploration in the future (60).
Overall, Tai Chi exercise has a good preventive effect on falls in the older adult (both healthy and high-risk for falls) and enhances their balance ability. However, there is a relatively small number of studies on balance ability, and further research is needed in this area. Additionally, we need to increase the frequency of follow-up observations to observe the process of the Tai Chi intervention’s effectiveness. Furthermore, due to limitations in the number and quality of included studies, the above conclusions still require further high-quality verification.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.
Author contributions
WC and ML made equal contributions to this study, including designing the search strategy for retrieving and screening articles, conducting data extraction and analysis. WC and HL wrote the manuscript, while YL and ZF managed the project and reviewed the manuscript. All authors have read and approved the final version of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2023.1236050/full#supplementary-material
Risk of bias summary.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Risk of bias summary.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.