Background: Sarcopenia is associated with age-related loss of muscle mass and function and is becoming prevalent in the older Chinese population. This systematic review aims to obtain a reliable estimation of the prevalence of sarcopenia among community-dwelling Chinese populations aged 65 years and older and to characterize its epidemiology. Methods: A literature search was performed in the Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and CQVIP databases up to September 31, 2021. All studies that reported the prevalence of sarcopenia in Chinese community-dwelling older adults were included, and Hoy et al.’s tool was used to assess the risk of bias. The overall prevalence of sarcopenia will be calculated as the primary outcome, and subgroup analyses will be performed by study year, age, sex, muscle mass assessment method, diagnostic criteria and area. Results: A total of 26 studies were included in this study, which involved 25,921 subjects, and 3597 had sarcopenia. Although significant heterogeneity between studies was reported, no statistically significant publication bias was detected. The overall prevalence of sarcopenia in community-dwelling older adults aged over 65 years in the Chinese population was 17.4% (95% CI: 14.6%-20.2%). Subgroup analysis based on study year, age and sex, muscle mass assessment method, diagnostic criteria, region and area showed that the prevalence of sarcopenia was different in each subgroup. Implications: The prevalence of sarcopenia in Chinese community-dwelling older adults was higher than that in previous studies. As a multidimensional survey of the prevalence of sarcopenia in older adults, this meta-analysis provides data support for the targeted management of sarcopenia among Chinese older adults.

The effects of exercise-based cardiac rehabilitation (CR) on physical health in coronary artery disease (CAD) patients has long been established, while the optimal exercise mode remains to be determined. This meta-analysis compared the efficacy of high-intensity interval training (HIIT) versus moderate-intensity continuous training (MICT) in CAD patients. Databases were searched up to December 2020. Twenty-five studies with 1272 participants were analyzed. The results showed that both HIIT and MICT induced significant VO_2peak improvement with a 4.52 mL/kg/min (p < 0.01) and 2.36 mL/kg/min (p < 0.01), respectively. Additionally, a larger improvement of VO_2peak (1.92 mL/kg/min, p < 0.01) was observed in HIIT over MICT. HIIT with medium and long intervals, higher work/rest ratio induced larger VO_2peak improvement than the compared subgroup. Interestingly, non-isocaloric exercise protocols induced larger VO_2peak improvement compared with isocaloric protocols. In addition, both HIIT and MICT significantly increased anaerobic threshold and peak power with HIIT superior to MICT. No significant different changes were observed in blood pressure after HIIT or MICT intervention, however when HIIT was compared with MICT, MICT seems superior to HIIT in reducing systolic blood pressure (−3.61 mmHg, p < 0.01) and diastolic blood pressure (−2.37 mmHg, p < 0.01). Although, HIIT and MICT induced significant improvement of most other parameters, like HR_rest, HR_peak, left ventricular ejection fraction (LVEF), quality of life (QoL), no significant differences were noted between groups. This meta-analysis suggested that HIIT is superior to MICT in increasing VO_2peak, anaerobic threshold, peak power in CAD patients. Additionally, the efficacy of HIIT over MICT in improving VO_2peaks was influenced by HIIT intervals, work/rest ratio and total caloric consumption. Both HIIT and MICT did not significantly influence resting BP, however, MICT seemed to be more effective in reducing BP than HIIT. HIIT and MICT equally significantly influenced HR_rest, HR_peak, HRR1min, OUES, LVEF%, QoL.

Background: Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. Objective: The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. Methods: The literature search was conducted in 6 electronic databases—PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus—from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. Results: A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD –0.23, 95% CI –0.33 to –0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. Conclusions: eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult–oriented research is needed to develop eHealth interventions that can change multiple behaviors. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418

Background: Physical activity (PA) and/or exercise improves postprandial cardiometabolic risk markers; however, the optimal exercise intensity, frequency, and dose remain unclear. We aimed to (1) compare the acute metabolic effects of interrupted prolonged sitting with PA bouts of different frequencies and durations on blood glucose, insulin, and triacylglycerol responses, and (2) compare the effects of the different types and different times of PA breaks on these measures. Methods: A literature search was carried out using four databases. Network meta-analysis (NMA) and paired meta-analysis were performed to estimate the total standardized mean differences (SMDs) with 95% confidence intervals (95%CI). Results: According to the NMA, compared to prolonged sitting, every 30 min interruption had the highest probability (SUCRA) of being the best intervention for improving blood glucose (SUCRA = 81.8%, SMD = −1.18, 95%CI: −1.72, −0.64) and insulin (SUCRA = 77.5%, SMD = −0.98, 95%CI: −1.36, −0.60). Additionally, every 20 min interruption also significantly lowered blood glucose (SMD = −0.89, 95%CI: −1.52, −0.27) and insulin (SMD = −0.94, 95%CI: −1.41, −0.46). Pairwise meta-analysis suggested that frequent breaks by light-intensity PA significantly lowered glucose (SMD = −1.45, 95%CI: −2.32, −0.57) and insulin (SMD = −1.04, 95%CI: −1.53, −0.55). The same was found for frequent breaks by moderate-to-vigorous PA, which also significantly lowered glucose (SMD = −0.6, 95%CI: −0.83, −0.37) and insulin (SMD = −0.53, 95%CI: −0.73, −0.32). Conclusions: According to the NMA, performing short bouts of PA every 30 min is the most effective prolonged sitting intervention for improving blood glucose and insulin. More evidence is needed to determine the optimal type and time of PA breaks for braking sedentary sitting. PROSPERO Registration: CRD42022340036.

Previous studies have found that the relationship between sedentary time (ST) and overweightness/obesity is unclear. The association between sedentary behavior and overweightness/obesity may depend on the type of sedentary behavior engaged in. Nowadays, in older Chinese adults, especially females, short video viewing (SVV) is the most popular leisure sedentary behavior. However, the association between SVV and overweightness/obesity remains to be determined. This study aimed to examine the associations between ST and SVV and overweightness/obesity in Chinese community-dwelling older women. A cross-sectional analysis of baseline data from the Physical Activity and Health in Older Women Study was carried out in this study. A total of 1105 older Chinese women aged 60–70 years were included. SVV was estimated using a self-reported questionnaire, and ST was objectively measured using a tri-axial accelerometer. Overweightness/obesity indicators, including body fat ratio (BFR), fat mass (FM), visceral fat mass (VFM), subcutaneous fat mass (SFM), trunk fat mass (TFM), and limb fat mass (LFM), were assessed using multi-frequency bioimpedance analysis. The covariates included socio-demographic data and a range of health-related factors. Multiple linear regression analyses were used to assess the association between ST and SVV and overweightness/obesity. ST was significantly positively associated with all indicators of overweightness/obesity; however, the associations disappeared after adjusting for moderate-to-vigorous-intensity physical activity (MVPA). A higher SVV time was associated with a higher body mass index (BMI) (β = 0.19, 95% confidence interval (CI): 0.05 to 0.32), BFR (β = 0.31, 95% CI: 0.07 to 0.56), FM (β = 0.33, 95% CI: 0.04 to 0.61), VFM (β = 0.09, 95% CI: 0.01 to 0.16), SFM (β = 0.24, 95% CI: 0.03 to 0.45), TFM (β = 0.21, 95% CI: 0.04 to 0.39), and LFM (β = 0.11, 95% CI: 0.00 to 0.23) in the fully adjusted models. Compared with non-food short videos, short food videos had a greater effect on overweightness/obesity. SVV was an independent risk factor for overweightness/obesity. A reduction in SVV (especially the food category) rather than ST might be an effective way to prevent overweightness/obesity when incorporated in future public health policy formulations.