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Effects of different exercise training modes on muscle strength and physical performance in older people with sarcopenia: a systematic review and meta-analysis

BMC Geriatrics volume 21, Article number: 708 (2021) Cite this article

Abstract

Objective

We conducted a systematic review and meta-analysis to clarify the effects of different exercise modes (resistance training [RT], whole body vibration training [WBVT], and mixed training [MT, resistance training combined with other exercises such as balance, endurance and aerobic training]) on muscle strength (knee extension strength [KES]) and physical performance (Timed Up and Go [TUG], gait speed [GS] and the Chair Stand [CS]) in older people with sarcopenia.

Method

All studies published from January 2010 to March 2021 on the effects of exercise training in older people with sarcopenia were retrieved from 6 electronic databases: Pubmed, Cochrane Library, Embase, Web of Science, the China National Knowledge Infrastructure (CNKI), and Wanfang Database. Two researchers independently extracted and evaluated studies that met inclusion and exclusion criteria. Pooled analyses for pre- and post- outcome measurements were performed using Review Manager 5.4 with standardized mean differences (SMDs) and fixed-effect models.

Result

Twenty-six studies (25 randomized controlled trails [RCTs] and one non-randomized controlled trail) were included in this study with 1191 older people with sarcopenia (mean age 60.6 ± 2.3 to 89.5 ± 4.4). Compared with a control group, RT and MT significantly improved KES (RT, SMD = 1.36, 95% confidence intervals [95% CI]: 0.71 to 2.02, p < 0.0001, I2 = 72%; MT, SMD = 0.62, 95% CI: 0.29 to 0.95, p = 0.0002, I2 = 56%) and GS (RT, SMD = 2.01, 95% CI: 1.04 to 2.97, p < 0.0001, I2 = 84%; MT, SMD = 0.69, 95% CI: 0.29 to 1.09, p = 0.008, I2 = 81%). WBVT showed no changes in KES (SMD = 0.65, 95% CI: − 0.02 to 1.31, p = 0.06, I2 = 80%) or GS (SMD = 0.12, 95% CI: − 0.15 to 0.39, p = 0.38, I2 = 0%). TUG times were significantly improved with all exercise training modes (SMD = -0.66, 95% CI: − 0.94 to − 0.38, p < 0.00001, I2 = 60%). There were no changes in CS times with any of the exercise training modes (SMD = 0.11, 95% CI: − 0.36 to 0.57, p = 0.65, I2 = 87%).

Conclusions

In older people with sarcopenia, KES and GS can be improved by RT and MT, but not by WBVT. All three training modes improved TUG times, but not improved CS times.

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Background

Sarcopenia is an age-dependent geriatric syndrome characterized by skeletal muscle mass loss, muscle strength and/or declines in physical performance [1].

A meta-analysis in 2020 indicated that the prevalence of sarcopenia was 9–10% in community-dwelling individuals, 30–50% in nursing-home individuals and 23–24% in hospitalized individuals [2]. Sarcopenia is associated with several adverse outcomes, including falls and secondary fractures [3, 4], pulmonary insufficiency [5], sleep disorders [6], cognitive impairment [7], poor quality of health-life [8] and premature mortality [9], all of which bring significant medical and economic burdens. Sarcopenia increases the risk of hospitalization of older people [10, 11]. Total hospitalization costs are higher by nearly $13,000 in preoperative older people with sarcopenia compared to older people without sarcopenia [12]. In 2000, the costs for sarcopenia-related conditions in the United States was $18.5 billion, which represented 1.5% of the annual medical expenditures [13]. Therefore, the prevention and treatment for sarcopenia is important to maintain physical function and improve health outcomes for older people and to reduce medical expenditures associated with sarcopenia.

To date, there are no effective pharmacological interventions to the treatment of sarcopenia [14]. Non-pharmacological interventions are the most appropriate and effective intervention for sarcopenia [15]. As a non-pharmacological intervention, exercise has been demonstrated by randomized controlled trails [RCTs] and meta-analysis to produce significant physiological and health benefits and to prevent and/or delay the development of sarcopenia [16,17,18]. The American College of Sports Medicine and the World Health Organization recommends that older people maintain 150 min of moderate-intensity aerobic exercise per week or 75 min of high-intensity aerobic exercise per week, and perform resistance exercise 2–3 times per week to prevent chronic or debilitating conditions and/or treat disease [19, 20]. Previous studies have demonstrated that exercise (e.g., resistance training [RT], whole body vibration training [WBVT], mixed training [MT, such as resistance training combined with balance and aerobic training]) have a positive effect on increasing muscle mass [21], muscle strength [22] and physical performance [23]) in older people with sarcopenia.

Evidence has been provided from systematic reviews, meta-analyses and RCTs to show the efficacy of different exercise training modes on muscle mass, muscle strength and physical performance in older people with sarcopenia. Two reviews showed that RT can improve muscle strength and physical performance [24, 25] and that MT can increase physical performance [26]. Two meta-analyses also showed that RT is effective in improving muscle strength and physical performance and that WBVT has a positive effect on physical performance [27, 28]. To date, little is known about the similarities and differences of RT, WBVT, MT exercise training modes and the effects of the study designs and/or protocols on muscle strength and physical performance.

Various methodologic and design weaknesses have consistently been found in exercise studies that limit the dissemination of exercise findings among older people with sarcopenia. First, there is no consensus on sarcopenia diagnostic criteria that makes studies included in previous meta-analysis inconsistent for the diagnostic criteria of sarcopenia [29]. In addition, there are differences in measurement methods for muscle strength and physical performance measures [30, 31], and exercise protocols [32, 33] that can lead to high heterogeneity in the results. Second, few studies have investigated the efficacy of different exercise modes to improve health outcomes and fitness levels in older people with sarcopenia. Alternatively, studies have focused on improving health outcomes and fitness in healthy older people [34], older people with osteoarthritis [35] or osteoporosis [36] or heart failure [37]. The aim of this study is to investigate the efficacy of three exercise training modes (RT, WBVT and MT) on knee extension strength (KES) and physical performance tests (Timed Up and Go [TUG], gait speed [GS] and the Chair Stand [CS]) to provide additional evidence for the treatment and management of sarcopenia in older people.

Methods

Eligibility criteria

The studies were included if they met the criteria for subjects and study types as follows: (a) age > 60 years; (b) diagnosed with sarcopenia; (c) without diseases or conditions of COPD, cancer, kidney disease, hypertension, hyperlipidemia, stroke, diabetes, obesity, osteoporosis and fracture; (d) the study has at least one exercise group and one control group, and the control group must receive a no-exercise intervention or a health education course; (e) the exercise group must contain at least one type of RT, WBVT and/or MT exercise modes; and (f) each included study is the latest report since 2010.

The studies were excluded if they failed to meet the inclusion criteria and/or: (a) not full-text; (b) not in English or Chinese; (c) not a randomized controlled trial (RCT); (d) subjects were not diagnosed with sarcopenia previously in the exercise group and control group; (e) the exercise group received exercise interventions combined with nutritional supplementation; and (f) the study presented no extractable data.

Search strategy

This systematic review and meta-analysis is registered on the International Prospective Register of Systematic Reviews site (PROSPERO) as CRD42021256110. We followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines [38]. A systematic search was conducted with the following six electronic databases from January 2010 to March 2021: Pubmed, Cochrane Library, Embase, Web of Science, the China National Knowledge Infrastructure (CNKI), and Wanfang Database. The studies in English and Chinese were all included. The following Mesh terms and the synonyms were used: “Sarcopenia”, “Muscular Atrophy”, “Aging”, “Aged”, “Frailty”, “Randomized Controlled Trials”, “Blind Method”, “Exercise”, “Exercise Therapy”, “Resistance Training”, “Endurance Training”, “Vibration”. We also used the terms “NOT (COPD, Cancer, Kidney Diseases)” (Full search strategy see Supplement 1).

Study selection and data extraction

Two researchers independently screened the title and abstract of each retrieved study to exclude irrelevant studies. Repeated studies for the same exercise RCT were excluded as were reviews of animal studies. The full-text of each remaining study was systematically evaluated according to the inclusion and exclusion criteria. The bibliographic information for author, publication year, the characteristics of subjects (sample size, gender, mean age, and appendicular skeletal muscle mass/height2 [ASM/ht2]), details of the exercise interventions (duration, type, frequency, and intensity), and the outcome measurements for body composition, muscle strength, and physical performance were independently extracted by two researchers. If a study was a multiple-arm trial, only the data of relevant exercise groups were extracted. A summary of the study results was recorded in a standard table format developed for this study. If information was recorded differently by the two researchers, a third researcher discussed the difference until it was resolved.

Quality assessment

Two researchers independently assessed the methodological quality of the studies using the Physiotherapy Evidence Database (PEDro) scale [39]. The following 11 characteristics were used to assess the quality of studies: Eligibility criteria, Random allocation, Concealed allocation, Baseline similar, Blinding (Subjects), Blinding (Therapists), Blinding (Assessors), Measure for > 85%, Intention-to-Treat Analysis, Group comparison and Point measures. Each characteristic was rated as 0 (not meeting the criteria) to 1 (meeting the criteria). A high total score indicated higher study quality. When differences in ratings occurred between two researchers, a third researcher discussed the problem until it was resolved.

Two researchers independently assessed the risk of bias using the Review Manager (RevMan 5.4; Cochrane, Lindon, UK). Among the myriad of biases [40, 41] the bias assessment included selection bias, performance bias, detection bias, attrition bias and reporting bias. Each study was assigned a bias category of low risk, unclear risk or high risk. Biases not evaluated in this study were listed as other potential biases and assigned a category of unclear risk. Differences in the identification of study biases between the two researchers was resolved by discussion with a third researcher. Following agreement of bias for each study, the percentage of bias categories was calculated.

We used the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) assessment to classify the overall certainty of evidence across studies of the outcomes and absolutely reduce the risk by using GRADE profiler version 3.6 [42] . The evidence of the outcomes of studies will be divided into one of the four grades [43]: (a) High: We are very confident that the true effect lies close to that of the estimate of the effect and progressive study is unlikely to change this result; (b) Moderate: We are moderately confident in the effect estimate, and the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different; (c) Low: We have limited confidence in the results. Further research is very likely to have an important impact on our confidence on the estimate of effect and is likely to change the estimate; (d) Very low: We have little confidence in the results. The results may differ greatly from the real values, and further research is likely to change the results.

Originally, the evidence quality of RCTs is generally “High”, and the following five factors will reduce the evidence quality to “Moderate”, “Low” and “Very low”: (a) Risk of bias [44]: without concealed allocation, without assessor blinded or other limitations; (b) Inconsistency [45]: excessive heterogeneity and thus inconsistency of results); (c) Indirectness [46]: indirect populations, interventions, controls and outcomes; (d) Imprecision [47]: relatively small simple size, wide confidence intervals, fewer studies; (e) Publication bias [48]: graphically in funnel plots or many potentially studies have not been published.

Statistical analyses

Review Manager (RevMan 5.4; Cochrane, Lindon, UK) was used to analyze all data. The statistical heterogeneity for the outcome in included studies was assessed by the I2 statistic. The analytic model used was dependent on the presence of heterogeneity; the fixed-effects model used when I2 < 50% and random-effects model was used when I2 > 50%. To perform the meta-analysis, data with continuous outcomes were analyzed by the changes in the means and standard deviations (SD) of the outcome measurement. Weighted mean differences (WMD) and 95% confidence intervals (95% CI) were computed when the studies had the same measurement methods and units for the independent and dependent variables. Standardized mean differences (SMDs) and 95% CI were computed when the studies had different measurement methods and units for the independent and dependent variables. In this meta-analysis, no studies met the criteria required to present results as WMD and 95% CI. For studies where the mean and SD could not be extracted completely, the author was contacted in attempt to obtain the data. If the author could not be contacted, the study was excluded from analyses. P < 0.05 was considered as statistical significance.

Results

Study selection

Figure 1 shows the flowchart for study screening and selection process according to the PRISMA guidelines. A total of 5889 records were retrieved, with 5730 retrieved using the keywords (Mesh terms and the synonyms) from Pubmed (n = 876), Cochrane Library (n = 815), Embase (n = 2436), Web of Science (n = 1603), the China National Knowledge Infrastructure (CNKI) (n = 107) and Wanfang Database (n = 32). Twenty studies were identified from the systematic reviews and other reviews retrieved in the search process. After removing duplicate studies, 4386 studies remained. The study titles and abstracts then were screened to apply the inclusion and exclusion criteria. This resulted in 4319 studies being removed for failing to meet the inclusion criteria. Of the remaining 74 studies, the full text was read to apply the exclusion criteria. The final sample size was 26 studies with full text for the systematic review and meta-analysis.

Fig. 1
figure 1

The flowchart for study screening and selection process according to the PRISMA guidelines

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Study characteristics

Tables 1, 2 and 3 shows the characteristics of the 26 studies to include the publication dates, sample size and populations studied by gender and age, sarcopenia diagnosis, intervention details of exercise mode, intensity, duration, and training movements, inclusion of a control group, and outcomes of the studies. Two studies included two exercise modes. Chen et al. [49] included RT and MT and Bellomo et al. [50] included RT and WBVT. The studies are included in the analysis for each of their exercise training modes.

Table 1 Characteristics of Included Studies with Resistance Training as an Exercise Training Mode
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Table 2 Characteristics of Included Studies Whole Body Vibration Training as an Exercise Training Mode
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Table 3 Characteristics of Included Studies Mixed Training as an Exercise Training Mode
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Publication dates and languages

The 26 studies were published from 2012 to 2020 with four in 2020, three in 2019, three in 2018, five in 2017, six in 2016, one in 2015, three in 2013, and one in 2012. Two studies were written in Chinese and the rest were written in English.

Sample size and populations studied

A total of 1191 older people with sarcopenia were enrolled in the studies with 613 in exercise groups and 578 in the control groups. The sample sizes in the exercise groups ranged from seven to 41 subjects and the control groups ranged from eight to 39 subjects. The mean age of the subjects ranged from 60.6 ± 2.3 to 89.5 ± 4.4 [65]. 11 studies [16, 23, 33, 49, 51, 52, 54,55,56, 61, 65] included both genders, five [50, 53, 58,59,60] included only males, eight [57, 62,63,64, 66,67,68,69] included only females, and two studies [70, 71] did not identify the genders.

Sarcopenia diagnosis

Six studies [16, 33, 52, 53, 55, 59] diagnosed sarcopenia using the criteria from the Asian Working Group for Sarcopenia (AWGS), seven studies [23, 56, 58, 60, 62, 64, 70] used the criteria from the European Working Group on Sarcopenia in Older People (EWGSOP), and the remaining 13 studies [49,50,51, 54, 57, 61, 63, 65,66,67,68,69, 71] did not describe their diagnostic criteria in detail, only that they used specific index values. Table 4 shows the different sarcopenia diagnostic criteria used in all included studies.

Table 4 Different indicators and cut-off points in defining sarcopenia
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Intervention details

For the 20 RT studies [16, 23, 49, 50, 54,55,56,57,58, 60, 63, 66, 67, 69],the following training movements were used: six studies [49, 50, 55, 58, 60, 67] used weight machines, four studies [16, 23, 56, 69] used individual body weights, one study used dumbbells [54], three studies [54, 63, 66] used ankle/wrist weights, ten studies [33, 52, 56, 57, 63, 64, 66,67,68, 71] used bands, and one study [62] used weighted vests.

Twelve studies [23, 33, 49, 52, 54, 55, 57, 64, 67, 68, 70, 71] focused on the muscles of upper and lower limbs and nine studies [16, 50, 56, 58, 60, 62, 63, 66, 69] focused on the muscles of lower limbs. The exercise intensities were distributed as follows: six studies [49, 52, 54, 58, 60, 69] ranged from 60 to 80% of 1 repetition maximum (RM), one study was 60–85% of maximum theoretical force [50], ten studies [23, 33, 56, 57, 63, 64, 66,67,68, 70] use the Borg CR-10 scale and four studies [16, 55, 62, 71] did not describe the intensity of the training. The duration of the exercise sessions lasted 20 to 60 min, the training frequency varied from 1 to 5 times per week and the length of the training period varied from 6 weeks to 6 months.

For WBVT, all six studies [50, 51, 53, 59, 61, 65] used a WBV machine to apply the training. The frequency of WBVT ranged from 12 to 60 Hz in five studies [51, 53, 59, 61, 65] with one study [50] using a time-modulated sinusoidal signal up to 300 Hz. The duration of the exercise sessions lasted of 15 to 40 min, the training frequency varied from 3 to 5 times per week, and the length of training period varied from 3 to 8 months.

For MT, all 14 studies [16, 23, 33, 49, 52, 58, 60, 63, 66,67,68,69,70,71] used a comprehensive progressive exercise program that included resistance and balance training (one study [70]), resistance and endurance training (two studies [58, 60]), resistance, balance and gait training (two studies [63, 66]), resistance, balance and aerobic training (two studies [33, 71]), resistance, balance, aerobic and gait training (one study [23]), resistance and aerobic training (five studies [16, 49, 52, 67, 68]), and resistance training and stretching (one study [69]). The exercise sessions lasted 60 to 90 min, the training frequency varied from 1 to 5 times per week, and the length of training period varied from 8 weeks to 6 months.

Control group

Nineteen studies [16, 49,50,51,52,53,54, 56,57,58,59,60,61,62,63,64,65, 69, 70] required subjects to maintain their usual daily lifestyles without any exercise interventions, subjects in six studies [23, 33, 55, 66,67,68] received an educational course and subjects in one study [71] received a relaxation exercise program.

Outcome measures

Some studies measured outcomes that were not analyzed in this study. Among the studies with outcomes of interest, 17 studies [16, 23, 49, 50, 54, 57, 59,60,61,62,63,64,65,66,67, 69] measured muscle strength by KES, 11 studies [23, 33, 51, 53, 56, 57, 59, 61, 63, 64, 71] measured TUG time, 17 studies [16, 23, 33, 51,52,53,54,55, 57, 61, 63, 64, 66,67,68,69,70] measured GS, 11 studies [23, 33, 52, 53, 56, 57, 59, 61, 64, 68, 71] measured CS times.

Study quality

The PEDro scores of each study for the quality assessment are shown in Table 5. The score ranges from 0 to 10 with a mean quality score of 6.36. Among the studies, four studies scored 8 points, eight studies scored 7 points, eleven studies scored 6 points and three studies scored 5 points. The quality assessment of the study consisted of 11 criteria: 25 studies reported the random allocation, and only one study performed non-randomized controlled trial. The baseline was similar in all studies. Seventeen studies [23, 33, 51,52,53,54,55,56,57, 59, 61, 63,64,65,66,67, 69] reported a concealed allocation. For blinding, three studies [33, 64, 70] used subject blinding, five studies [54, 57, 63, 64, 66] used therapists blinding and 11 studies [49, 50, 52, 54, 56, 62,63,64, 66, 68, 69] used assessor blinding. Twenty-three studies [16, 23, 33, 50,51,52,53, 55,56,57,58,59,60,61,62, 64,65,66,67,68,69,70,71] reported > 85% of the subjects performing at least one primary outcome measure, ten studies [23, 33, 53, 55, 58,59,60, 63, 68, 71] reported the data from intention-to-treat analysis, 25 studies [23, 33, 52, 54, 56,57,58,59,60, 62,63,64, 66,67,68,69,70] performed group comparison and 23 studies [23, 33, 52, 54, 56,57,58,59,60,61,62,63, 66,67,68,69,70] performed point measures.

Table 5 The PEDro Scores of Included Studies for The Quality Assessment
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Details about the risk of bias of the included studies are shown in Fig. 2. Figure 2a is a plot of the distribution of studies at low-, unclear-, or high risk of bias based on the Cochrane risk-of-bias tool and Fig. 2b is a summary table for risks of bias in each study. For the random sequence generation assessment, the risk of bias was unclear in eight studies [16, 33, 49, 50, 58, 60, 62, 68] and the risk of bias was high in one study [71]. For the allocation concealment assessment, the risk of bias was unclear in three studies [60, 62, 68] and the risk of bias was high in six studies [16, 33, 49, 50, 58, 71]. For the participants and personnel assessment, the risk of bias was low in six studies [51, 58, 61, 64, 65, 69]. For the blinding of outcomes assessment, the risk of bias was unclear in nine studies [16, 23, 53, 55, 58,59,60, 67, 71] and the risk of bias was high in one study [70]. There were no unclear or high risk of bias observed for the incomplete outcome data assessment and the selective reporting assessment. The other bias risk items were not identified and were rated as unclear for all 26 studies.

Fig. 2
figure 2

Assessment of risk of bias based on the Cochrane risk-of-bias tool. a Percent of studies with categories for risk of bias; b Summary for the risk of bias in each study

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The overall certainty of evidence across studies of the outcomes was performed in Table 6. After rating overall studies by the GRADE assessment, we found that the level of evidence was generally low. The possible reasons for this result are as follows: included assessor-blinding, concealed allocation, heterogeneity, length of follow-up and etc. Using the GRADE criteria, all these RCTs and non-randomised interventional studies showed a low level of evidence in KES as an indicator for muscle strength, and a low level of evidence in physical performance (TUG times, GS and CS times).

Table 6 The GRADE assessment for the overall certainty of evidence across studies
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Outcomes

Effects of different exercise training modes for sarcopenia on KES

Figure 3 is a forest plot of the subgroup analyses of 17 [16, 23, 49, 50, 54, 57,58,59,60,61,62,63,64,65,66,67, 69] studies with KES as an outcome for sarcopenia based on different exercise training modes. Collectively, 415 subjects were in exercise group and 394 subjects were in control group. Among subgroup analysis of the exercise modes, 6 studies [49, 50, 54, 57, 62, 64] used RT, 4 studies [50, 59, 61, 65] used WBVT training and 9 studies [16, 23, 49, 58, 60, 63, 66, 67, 69] used MT. With all exercise modes combined, the exercise group showed a significant increase in KES scores compared with the control group (SMD = 0.86, 95% CI: 0.55 to 1.16, p < 0.00001, I2 = 75%). In subgroup analysis, RT and MT resulted in significant increases in KES scores compared to the control group (RT, SMD = 1.36, 95% CI: 0.71 to 2.02, p < 0.0001, I2 = 72%; MT, SMD = 0.62, 95% CI: 0.29 to 0.95, p = 0.0002, I2 = 56%). WBVT resulted in no significant difference in KES scores between the exercise and control groups (SMD = 0.65, 95% CI: − 0.02 to 1.31, p = 0.06, I2 = 80%).

Fig. 3
figure 3

A forest plot of the subgroup analyses of 17 studies with KES as an outcome for sarcopenia based on different exercise training modes

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Effects of different exercise training modes for sarcopenia on physical performance

Nineteen studies [16, 23, 33, 54,55,56,57, 61, 63, 64, 66,67,68,69,70,71] assessed the effects of exercise training on the three main outcomes of TUG, GS, and CS.

Figure 4 is a forest plot of the subgroup analyses of 9 studies (3 RT [56, 57, 64], 2 WBVT [51, 53], and 4 MT [23, 33, 63, 71]) with TUG as an outcome for sarcopenia based on different exercise training modes. Collectively, 279 subjects were in the exercise group and 264 subjects were in the control group. With all exercise modes combined, the exercise group showed a significant increase in TUG times compared with the control group (SMD = -0.66, 95% CI: − 0.94 to − 0.38, p < 0.00001, I2 = 60%). In subgroup analysis, all training modes showed a significant increase in TUG times compared with the control group (RT, SMD = -0.92, 95% CI: − 1.30 to − 0.55, p < 0.00001, I2 = 22%; WBVT, SMD = -0.30, 95% CI: − 0.60 to 0.00, p = 0.05, I2 = 0%; and MT, SMD = -0.69, 95% CI: − 1.22 to − 0.15, p = 0.01, I2 = 70%).

Fig. 4
figure 4

A forest plot of the subgroup analyses of 9 studies with TUG as an outcome for sarcopenia based on different exercise training modes

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Figure 5 is a forest plot of the subgroup analyses of 17 studies with GS as an outcome for sarcopenia based on different exercise training modes. Of the 17 studies in this subgroup, 4 studies applied RT [54, 55, 57, 64], 3 studies applied WBVT [51, 53, 61] and 10 studies applied MT. [16, 23, 33, 52, 63, 66,67,68,69,70] Collectively, 500 subjects were in exercise group and 465 were in the control group. With all exercise modes combined, the exercise group showed a significant increase in GS compared with the control group (SMD = 0.82, 95% CI: 0.43 to 1.21, p < 0.0001, I2 = 87%). In subgroup analysis, RT and MT showed a significant increase in GS compared with the control group (RT, SMD = 2.01, 95% CI: 1.04 to 2.97, p < 0.0001, I2 = 84%; MT, SMD = 0.69, 95% CI: 0.29 to 1.09, p = 0.0008, I2 = 81%). WBVT resulted in no significant difference in GS between the exercise and control groups (SMD = 0.12, 95% CI: − 0.15 to 0.39, p = 0.38, I2 = 0%).

Fig. 5
figure 5

A forest plot of the subgroup analyses of 17 studies with GS as an outcome for sarcopenia based on different exercise training modes

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Figure 6 is a forest plot of the subgroup analyses of 10 studies (3 RT [56, 57, 64], 3 WBVT [51, 53, 61], 4 MT [23, 33, 52, 68]) with CS as an outcome for sarcopenia based on different exercise training modes. Collectively, 313 subjects were in the exercise group and 298 were in the control group. With all exercise modes combined, there was no significant difference in CS times between the exercise and control group (SMD = 0.11, 95% CI: − 0.36 to 0.57, p = 0.65, I2 = 87%). Subgroup analysis showed no significant differences in CS times between the exercise and control groups for RT, WBVT, and MT (RT, SMD = 0.80, 95% CI: − 0.79 to 2.39, p = 0.32, I2 = 95%; WBVT, SMD = -0.25, 95% CI: − 0.52 to 0.02, p = 0.07, I2 = 0%; MT, SMD = -0.04, 95% CI: − 0.63 to 0.55, p = 0.89, I2 = 79%).

Fig. 6
figure 6

A forest plot of the subgroup analyses of 10 studies with CS as an outcome for sarcopenia based on different exercise training modes

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Discussion

In this study, 26 studies (25 RCTs and one non-RCT) were examined using a systematic review and meta-analysis to compare the effects of RT, WBVT, and MT on muscle strength and physical performance in older people with sarcopenia. The results of our studies showed that RT can improve KES, TUG times and GS, but not CS times; WBVT have a positive effect on TUG times, but did not have a significant effect on KES, GS and CS times; The effect of MT (combinations of exercise modes such as resistance and balance training; resistance and endurance training; resistance, balance and gait training; resistance, balance and aerobic training; resistance and aerobic training) is similar with RT, which also can improve KES, TUG times and GS, but not CS times. As observed in this study, not all exercise modes improve all aspects of muscle strength and physical performance in older people with sarcopenia. These differences show the importance to identify exercise training modes that improve aspects of muscle strength and physical performance as needed most by older people with sarcopenia [79].

So far, RT is one of the most common mode of exercises used to prevent and/or delay the progression of sarcopenia in a variety of older populations. Previous studies showed that RT can improve KES [80,81,82], TUG times [83] and GS [84] in older people with sarcopenia, which is consistent with the result of our study. However, CS times was not been significantly improved by RT in our study. We speculated that different RT protocols of included RT studies may be a reason why RT has no significant effect on CS in our study. Given that several studies reviewed in this systematic review and meta-analysis included squats in RT studies [49, 56, 62], it is possible that the dose of exercise need to improve sit-to-stand performance was insufficient for older people with sarcopenia. And studies by Soligon et al. [85] and Vitale et al. [86] demonstrated that RT protocols including squat movements can significantly improve CS times, which may be due to the sufficient exercise dose and increased proficiency of squat movements of older people in our study. Thus, we speculated that RT protocols including squat movements is an important factor which may produce an effective influence on CS times.

Our systematic review and meta-analysis failed to show beneficial effects of WBVT on KES, GS and CS times, but it showed improvements on TUG times in older people with sarcopenia. The result of TUG times is consistent with previous studies. For instance, Chang et al. demonstrated that WBVT can improve TUG times in older people with sarcopenia [87]. But in addition to TUG times, the effects of WBVT on GS and CS times were without significant effects in our study. It indicated that TUG maybe more sensitive to exercise, and the change of TUG times is more significant than that of other physical performance indicators such as GS and CS times at the same time. However, previous studies were inconsistent with our study on the result of the effects of WBVT on GS and CS times. Wei et al. demonstrated that 12-week WBV exercise not only can make a positive improvement on TUG times, but also GS and CS times [51]. In terms of the intervention period, we found that the total vibration intervention period in our included WBVT studies averaged 10 weeks, and 12 weeks in Wei et al.’s study. Therefore, we speculated that the effect of WBVT on physical performance will be affected by time, and a suitable-long intervention period can comprehensively improve physical performance.

The fact of our meta-analysis failed to show a significant effect of WBVT on KES, but previous studies have opposite results for the effect of WBVT on KES in older people. For instance, a meta-analysis of 6 controlled clinical trials and RCTs by Wu et al. [88] and a meta-analysis of 12 studies (7 studies in younger people, mean ages of 11.8–37.7 yr.; and 5 studies with older people, mean ages 60.7–77.6 yr.) by Osawa et al. [89] both demonstrated that WBVT can lead to a significant improvement in lower body muscle strength as measured by KES in older people without and with sarcopenia [88, 89]. For such different results, it is speculated that different WBVT protocols may cause the differences of effects on KES. Firstly, the vibration frequency for the WBVT may have limited its ability to improve KES. In a study of eighty community-dwelling older adults with age-related muscle loss, Wei et al. compared different combinations of vibration frequencies (20 Hz, 40 Hz, 60 Hz) on knee extension performance. The results showed that the vibration frequency of 40 Hz was optimal in improving isokinetic knee extension performance [65]. However, in one third of the cited studies, the frequency of WBV was lower than 20 Hz, which is likely too low to improve muscle strength. Thus, the lower frequency of WBVT among the studies reviewed in this systematic review and meta-analysis is a possible reason for the lack of significance in showing WBVT effect on KES. Secondly, the amplitude of WBV may also be a reason why WBVT has a non-significant effect on KES. In a meta-analysis of WBVT on muscle strength, Marin et al. observed that studies using lower amplitudes (2–6 mm) showed less efficacy on muscle strength compared with studies using higher amplitudes (8–10 mm) [90]. There have five of the six studies reviewed used amplitudes less than 6 mm (3–5 mm), we speculated that the peak-to-peak displacement amplitude of the WBV was a factor for the lack of improvement on muscle strength. Thirdly, the exposure time of WBV can also be a reason why it cannot improve KES. A study by Da Silva-Grigoletto found that repeated 60-s bouts of WBVT with a total exposure time of 10 min was optimal than longer bout durations (i.e., 90 s) with a total exposure time greater than 10 min on improving muscle function [91]. Accordingly, it may be considered that muscle fatigue will occur when the exposure time is too excessive which could have limited the efficacy of WBVT on KES [92]. However, in the studies cited in our study, the exposure time of WBV varied from 60- to 180-s sets with a total exposure time of 5–15 min, and the different durations of WBV time ranging from 15 to 40 min. The above three point of views are why we speculate that WBVT cannot significantly improve KES, and more RCTs should be conducted to explore the effects of WBVT on muscle strength in older people with sarcopenia. Thus, clinical evidence will be added to sufficiently illustrate the effect of WBVT on sarcopenia.

The results of our meta-analysis showed that MT was effective on improving lower limb muscle strength as measured by KES, TUG times and GS in older people with sarcopenia, but not CS times. A systematic review and meta-analysis study showed improvements on TUG times from MT (combined with resistance and balance training) in community-dwelling frail older people [83], meanwhile several clinical studies also showed that the effect of MT improved significantly on TUG times [33, 93] which is consistent with the result of our study. However, there still have some studies showed that MT cannot make a significant improvement on TUG times. For instance, Wang et al. showed that MT program did not significantly improve TUG compared with usual care in aged 80 years or over older people with sarcopenia [32]. For the result of GS, it is speculated that the training movements is an extremely relevant factor, which makes MT have a significant impact on GS. In terms of training movements, MT have more abundant and complex movements. Pojskic et al. demonstrated that complex training protocols that require multi joint movements and whole body transitions over a short distance were effective in improving response time in agility-based activities of young trained athletes [94]. It is plausible subjects who performed complex motor skills during MT had faster reaction times and had the agility to navigate complex environmental conditions (e.g., stepping over objects, carrying items while walking) needed to increase GS following exercise training [95]. Complex exercise training increases vestibular-driven signals needed for postural changes and the ability to maintain balance during postural changes is an important ability for GS [96]. No significant changes in the CS times were observed following MT in older people with sarcopenia in our study. As the movement of CS reflects the comprehensive ability of lower limbs to raise and lower the body from a seated position [97], such movements may not always be integrated into exercise training protocols. An example of appropriate exercise movements in MT are the squat which requires strength of the quadriceps, gluteus maximus, and hamstrings muscles, and the bench press which builds core strength. Several studies reviewed in this systematic review and meta-analysis included squats in MT studies [16, 33, 49, 68] protocols showed that the dose of exercise to improve CS performance was insufficient for older people with sarcopenia.

In our study, RT and MT both have significant effects on KES, TUG times and GS, and this result is consistent with previous studies [32, 49, 72, 80, 81, 83, 98]. According to the forest plot of the subgroup analyses in RT and MT with KES, TUG and GS as outcomes, we found that RT maybe have a more effective influence than MT due to RT’s higher effect size than MT in each subgroup with KES, TUG, GS and CS. However, this is inconsistent with previous studies which showed that the effects of MT on muscle strength and physical performance were better than RT in healthy young man [73], or even MT have non-additive effect on muscle strength compared to the RT in athletes [74]. But so far, there have no studies exploring the comparison of RT and MT on muscle strength and physical performance in older people with sarcopenia. Thus, further research should conduct the comparison of these two modes exercises on muscle strength and physical performance in older people with sarcopenia.

In our study, WBVT only made a significant improvement on physical performance (TUG), but not effectively improved muscle strength. The above result we speculated that compared with MT, RT can improve muscle strength (KES) and physical performance (TUG times and GS) in older people with sarcopenia. Combined with above two speculations, the effect of WBVT on sarcopenia maybe not as good as RT and MT. To date, there have no studies to compare the effects of WBVT to RT or MT on sarcopenia, so according to the current findings, WBVT maybe not an effective alternative method for improving muscle strength and physical performance in older people with sarcopenia. This is mainly because there are few studies on the effect of WBVT on sarcopenia at present, so our study cannot include sufficient WBV studies that it is not enough to explain the effect of WBVT on sarcopenia. Therefore, further studies should be conducted to explore the effects of WBVT sarcopenia in older people.

Limitations

This study had some limitations. First, we did not assess the effects of the different exercise training modes on muscle mass due to differences in criteria, indicators and assessment methods used to determine muscle mass. For example, studies using AWGS or EWGSOP criteria to measure skeletal muscle mass (SSM) or appendicular skeletal muscle mass (ASM) used different measurement methods to determine muscle mass (e.g., bioelectrical impedance analysis (BIA) or dual-energy X-ray absorptiometry [DXA]). These different measurement methods make it difficult to compare muscle mass between studies. Future studies in this field should unify the criteria, indicators and assessment methods used to measure muscle mass to allow between study comparisons. Second, the high heterogeneity in some results of this study (e.g., GS [I2 = 88%] and CS times [I2 = 88%]) might have been caused by differences in the assessment and exercise training programs. Researchers should conduct experiments in accordance with the standards and guidelines for assessing the studies independent and dependent variables to reduce the heterogeneity between studies and make them comparable. Third, we only included three exercise training modes (RT, MT, and WBVT) to explore the effects of different exercise training modes on muscle strength and physical performance outcomes in older people with sarcopenia. Other exercise training modes may prove beneficial in increasing muscle strength and physical performance. Moreover, differences in age, gender and/or factors related to aging may have moderated the effects of the three exercise training modes on the study outcomes in older people with sarcopenia. More studies should be conducted to explore the effects of additional exercise training modes and stratify the results by gender, age groups and gender-specific age groups to understand the effects of exercise training on muscle strength and physical performance in older people with sarcopenia.

Conclusions

In older people with sarcopenia, the findings show that resistance training (RT) and mixed training (MT) exercise training modes have positive effects on knee extension strength (KES) and physical performance tests of the Timed Up and Go (TUG) and gait speed (GS), but did not improve performance in the Chair Stand (CS). Whole Body Vibration training (WBVT) had a positive effect on the TUG times, but had no effects on KES, GS and CS outcomes. Plausible reasons can explain these findings to include differences in the exercise training movements, exercise-specific demands on the body, and variations in exercise training protocols. Overall, RT, MT and WBVT are worthwhile exercise modes to achieve various improvements on muscle strength and physical performance in older adults with sarcopenia. RT alone or with MT combined with other exercise training modes such as aerobic, balance and gait training may be better than WBVT to improve overall physical function in older people, especially those who are frail. Older people with age-related disabilities (e.g., dementia, osteoarthritis, and hemiplegia) and who may have difficulty performing RT and MT exercise training modes may benefit from WBVT in standing or sitting postures to maintain and/or improve aspects of physical function. These findings should be confirmed by high-quality randomized controlled trials (RCTs) that explore the effects of different exercise trainings modes and protocols on muscle strength and physical performance.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AWGS:

Asian Working Group for Sarcopenia

EWGSOP:

European Working Group on Sarcopenia in Older People

PEDro:

Physiotherapy Evidence Database

PRISMA:

Preferred Reporting Items for Systematic Review and Meta-Analysis

PROSPERO:

International Prospective Register of Systematic Reviews site

GRADE:

Grades of Recommendation, Assessment, Development and Evaluation

CNKI:

China National Knowledge Infrastructure

NHANES III:

Third National Health and Nutrition Examination Survey

CDC:

Centers for Disease Control and Prevention

BIA:

Bioelectrical impedance analysis

DXA:

Dual energy X-ray absorptiometry

RT:

Resistance training

VT:

Vibration training

WBV:

Whole body vibration training

WBVT:

Whole body vibration training

MT:

Mixed training

AT:

Aerobic training

ET:

Endurance training

ETG:

Exercise training group

CG:

Control group

RCT:

Randomized controlled trial

RCTs:

Randomized controlled trials

LG:

Low frequency and long exercise time group

MG:

Medium frequency and medium exercise time group

HG:

High frequency and short exercise time group

ASM:

Appendicular skeletal muscle mass

ASM/ht2 :

Appendicular skeletal muscle mass/height2

ALMI:

Appendicular lean muscle mass index (ALMI = appendicular lean muscle mass/ height2 [ALM/m2])

AMI:

Appendicular muscle mass index (AMI = appendicular muscle mass/height2 [AMM/m2])

AMM:

Appendicular muscle mass

ASM* :

= 0.2487(weight) + 0.0483(height)-0.1584(hip circumference) + 0.0732 (grip strength) + 2.5843(sex) + 5.8828

ASMI:

Appendicular skeletal muscle mass index (ASMI = appendicular skeletal muscle mass/height2 [ASM/m2])

ASMI2 :

= appendicular skeletal muscle mass/weight2*100% [ASM/kg2]

ASMI4 :

= [0.244(weight) + 7.8(height) + 6.6(sex)-0.098(age) + race-3.3]/body mass index (ASM/BMI)

BMI:

Body mass index

MM:

Muscle mass

MMI:

Muscle mass index (MMI = muscle mass/height2 [MMI/m2])

SMI:

Skeletal muscle mass index (SMI = skeletal muscle mass/ height2 [SMI/m2])

SMM:

Skeletal muscle mass

CS:

Chair Stand

GS:

Gait speed

HGS:

Handgrip strength

KES:

Knee extension strength

TUG:

Timed Up and Go

4MWT:

4-m walk test

5-STS:

5-chair sit to stand test

6MWT:

6-m walk test

SPPB:

Short Physical Performance Battery

ADL:

Activities of daily living

UL:

Upper limb

LL:

Lower limb

M:

Male

F:

Female

W:

Week

reps:

Repetitions

RM:

Repetition maximum

1RM:

One repetition maximum

maxHR:

Maximum Heart Rate

RPE:

Rated perceived exertion

FNT:

Maximum theoretical force

SD:

Standard deviations

SMDs:

Standardized mean differences

WMD:

Weighted mean differences

95% CI:

95% confidence intervals

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Acknowledgements

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Funding

This meta-analysis is funded by special health research project of Shanghai Municipal Health Commission on the Health of Ageing, Woman and Children, “Exploration on the Screening and Rehabilitation Intervention Model for Sarcopenia among Community-dwelling Older People in Chongming District under the Medical Union Model” (No. 2020YJZX0137) and the project of Science and Technology Committee of Chongming District, “Effect of Exercise Intervention on Breast Cancer Patients in Chongming District (No. CKY2021-05).

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  1. Linqian Lu, Lin Mao and Yuwei Feng contributed equally to this work.

Authors and Affiliations

  1. Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, 200438, China

    Linqian Lu, Yu Liu & Nan Chen

  2. Department of Rehabilitation, Xinhua Hospital Chongming Branch, Shanghai, 202150, China

    Linqian Lu & Nan Chen

  3. Department of Rehabilitation, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China

    Lin Mao & Yuwei Feng

  4. College of Health Solutions, Arizona State University, Phoenix, AZ, USA

    Barbara E. Ainsworth

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LL, LM and YF participated in protocol design, data extraction, quality assessment, statistical analyses and manuscript preparation. AB participated in manuscript revision. NC and YL participated in protocol design, quality assessment, and manuscript revision. All authors have read and approved the final manuscript.

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Correspondence to Nan Chen.

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Lu, L., Mao, L., Feng, Y. et al. Effects of different exercise training modes on muscle strength and physical performance in older people with sarcopenia: a systematic review and meta-analysis. BMC Geriatr 21, 708 (2021). https://doi.org/10.1186/s12877-021-02642-8

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Keywords

BMC Geriatrics

ISSN: 1471-2318

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