The aging process leads to the degeneration of body structure and function. The objective of this study is to conduct a systematic review and meta-analysis of the effects of resistance circuit training (RCT) on comprehensive health indicators of older adults. PubMed, Embase, and Web of Science were searched until August 2023. Primary outcomes were body composition, muscle strength, cardiorespiratory endurance, blood pressure, and functional autonomy. Muscle function and exercise intensity subgroups were analyzed. RCT reduces body fat (MD = - 5.39 kg, 95% CI - 10.48 to - 0.29), BMI (MD = - 1.22, 95% CI - 2.17 to - 0.26), and body weight (MD = - 1.28 kg, 95% CI - 1.78 to - 0.78), and increases lean body mass (MD = 1.42 kg, 95% CI 0.83-2.01) in older adults. It improves upper limb strength (SMD = 2.09, 95% CI 1.7-2.48), lower limb strength (SMD = 2.03, 95% CI 1.56-2.51), cardiorespiratory endurance (MD = 94 m, 95% CI 25.69-162.67), and functional autonomy (MD = - 1.35, 95% CI - 1.73 to - 0.96). High-intensity RCT benefits BMI and body weight, while low-intensity exercise reduces blood pressure. RCT improves muscle function in push, pull, hip, and knee movements in older adults. RCT improves body composition, muscle strength, cardiorespiratory endurance, blood pressure, and functional autonomy in older adults. High-intensity training is superior for body composition, while moderate to low intensity training is more effective for lowering blood pressure.

OBJECTIVE: To evaluate the effectiveness of combined aerobic and resistance exercise on cognition, metabolic health, physical function, and health-related quality of life (HRQoL) in middle-aged and older adults with type 2 diabetes mellitus (T2DM).
METHODS: Systematic search of CINAHL, Cochrane, EMBASE, Scopus, PubMed, ProQuest Dissertation and Thesis, PsycINFO, Web of Science databases, and gray literature from Google Scholar. Pertinent randomized controlled trials (RCTs) were selected. The Protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO CRD42023387336).
METHODS: The risk of bias was evaluated using the Cochrane Risk of Bias tool by 2 reviewers independently. Outcome data were extracted in a fixed-effect model if heterogeneity test were not significant and I2≤50%; otherwise, the random-effects model was used.
RESULTS: Sixteen studies with 2426 participants were included in this review. Combined aerobic and resistance exercise had significant positive effects on cognition (SMD=0.34, 95% CI: 0.13 to 0.55), metabolic health on HbA1c (SMD=-0.35, 95% CI: -0.48 to -0.22) and lipid profile (total cholesterol SMD=-0.20, 95% CI: -0.34 to -0.07; low-density lipoprotein SMD=-0.19, 95% CI: -0.33 to -0.05; high-density lipoprotein SMD=0.25, 95% CI: 0.12 to 0.39; and triglycerides SMD=-0.18, 95% CI: -0.31 to -0.04), physical function on aerobic oxygen uptake (SMD=0.58, 95% CI: 0.21 to 0.95) and body mass index (MD=-1.33, 95% CI: -1.84 to -0.82), and physical HRQoL (MD=4.17, 95% CI: 0.86 to 7.48). Our results showed that clinically important effects on cognition may occur in combining the low-moderate intensity of aerobic exercise and progressive intensity of resistance training, the total duration of the exercise needs to be at least 135 minutes per week, among which, resistance training should be at least 60 minutes.
CONCLUSIONS: Combined aerobic and resistance exercise effectively improves cognition, ameliorates metabolic health, enhances physical function, and increases physical HRQoL in middle-aged and older adults with T2DM. More RCTs and longitudinal follow-ups are required to provide future evidence of structured combined aerobic and resistance exercise on other domains of cognition.

To review the evidence for the effectiveness of multicomponent exercise (an exercise program combining aerobic, endurance, balance, and flexibility exercises) on cognition, physical function, and activities of daily living in people with dementia and mild cognitive impairment (MCI).
We conducted this study under the guidance of a designated protocol (PROSPERO CRD42022324641). Pertinent randomized controlled trials were selected from PubMed, Embase, Web of Science, and the Cochrane Library by 2 independent authors through May 2022.
Two authors independently extracted the data and assessed the quality of the included studies following the Cochrane Risk of Bias tool. Outcome data were extracted in a random effects model and estimated as Hedges\' g and 95% confidence interval (CI). To validate specific results, the Egger test combined the Duval and Tweedie \"trim and fill\" method and sensitivity analysis with study removed were performed.
A total of 21 publications were eligible for the quantitative analysis. In dementia, estimates of Hedges\' g showed effects on global cognition (g=0.403; 95% CI, 0.168-0.638; P<.05), especially executive function (g=0.344; 95% CI, 0.111-0.577; P<.05), flexibility (g=0.671; 95% CI, 0.353-0.989; P<.001), agility and mobility (g=0.402; 95% CI, 0.089-0.714; P<.05), muscle strength (g=1.132; 95% CI, 0.420-1.845; P<.05), and activities of daily living (g=0.402; 95% CI, 0.188-0.615; P<.05). Also, a positive trend was observed in gait speed. Additionally, multicomponent exercise had positive effects on global cognition (g=0.978; 95% CI, 0.298-1.659; P<.05) and executive function (g=0.448; 95% CI, 0.171-0.726; P<.05) in patients with MCI.
Our findings confirm the viability of multicomponent exercise as a management strategy for patients with dementia and MCI.

OBJECTIVE: The rehabilitation effect of circuit resistance training in coronary heart disease (CHD) patients remains unclear. We perform this review to examine the rehabilitation effect of circuit resistance training in CHD patients and to provide a basis for the formulation of reasonable individual exercise prescriptions for CHD patients.
METHODS: Randomized controlled trials (RCTs) were searched on PubMed, Web of Science, The Cochrane Library, Embase, Clinical Trials, and CNKI. About 1232 studies were identified. Nine RCTs were finally used for the present meta-analysis to determine the rehabilitation effect of circuit resistance training in CHD patients, compared to aerobic training. Individuals enrolled for the studies were at a mean age of 60.5 years old and were all CHD patients. Following the PRISMA guidelines, we extracted basic information about the study and patient characteristics, as well as measurements (e.g., the peak oxygen uptake, the body mass index [BMI], the body fat percentage, the systolic blood pressure, the total cholesterol, and triglycerides). Subsequently, this meta-analysis determined the overall effect by using standardized mean difference (SMD) and 95% confidence interval (CI).
RESULTS: Compared with aerobic training, circuit resistance training significantly decrease the BMI and the body fat percentage.
CONCLUSIONS: As suggested from the present meta-analysis of RCTs, circuit resistance training is effective in improving the BMI and the body fat percentage in CHD patients and may help delay the progression of CHD. CRT has the advantage of lower load in most cases with a similar effect.

BACKGROUND: Strength training (ST) is considered an important strategy for maintaining body weight, as it promotes an increase in total energy expenditure (EE). However, the combination and manipulation of variables (intensity and volume) allow for different training adaptations. However, it remains unclear as to what is the most important variable between volume or intensity for example number of sets, repetitions, or total load for maximizing EE during ST. Several studies have analyzed the EE response in ST, but still unclear the variable is able to increase EE in the ST.
OBJECTIVE: This review aimed to investigate the effect of ST on EE in adults using a systematic literature review and subsequent meta-analysis.
METHODS: The search was performed on the electronic databases using the following keywords: strength training (resistance training; strength training; strength training method) and energy expenditure (energy metabolism; energy expenditure; caloric expenditure, caloric cost) with \'AND\' and \'OR\' combination. Manual searches of references were also conducted for additional relevant studies. After evaluating the inclusion and exclusion criteria, the selected studies were analysed according to strength training methods and the training variables used to measure EE.
RESULTS: We identified two ST methods from the literature review: circuit training (CT) and traditional training (TT). Meta-analysis showed a significant effect on EE increase, which favour TT when compared with CT [-0·99 (95%CI: -1·96, -0·02), P<0·01] with I2 of 89% (P<0·01). After adjusting for bias risk, no significant differences were found in EE associated with intensity [-0·40, 95% CI (0·98, 0·18), P = 0·18).
CONCLUSIONS: The present review and meta-analysis indicated that the intensity of exercise does not seem to be associated with an increase of EE in ST.

This meta-analysis aimed to assess the weight loss effects of circuit training interventions in adults. A computerized search was conducted using the Cochrane Central Register of Controlled Trials, PubMed, and EMBASE online databases. The analysis was restricted to randomized controlled trials that evaluated the effects of circuit training interventions on body weight and body mass index in adults aged 18 years or older. Meta-analyses were conducted using the random-effect model to estimate the weighted mean difference (WMD) with 95% confidence interval (CI). Nine randomized controlled trials (837 participants) were included. Significant intervention effects were identified for body weight (WMD = -3.81 kg, 95% CI -5.60 to -2.02) and body mass index (WMD = -1.77 kg/m2 , 95% CI -2.49 to -1.04). Subgroup analysis by body mass index status showed that the intervention effect was significant only in participants with obesity or overweight (obesity: WMD = -5.15 kg, 95% CI -8.81 to -1.50 and overweight: WMD = -3.89 kg, 95% CI -7.00 to -0.77, respectively) but not in those with normal weight. Current evidence suggests that circuit training effectively reduces body weight and body mass index in adults with overweight and obesity.