Table 1 The basic characteristic of the included studies
Author | Country | Age | Study design | Sample | Muscle measurement method | Diagnosis of sarcopenia | Diagnosis criteria for sarcopenia | Diagnostic criteria for heart attack | Heart Attack Classification |
|---|---|---|---|---|---|---|---|---|---|
Sato 2021 [31] | Japan | 72 ± 1/ 65 ± 13 | Retrospective case–control study | 303 | DXA | ASMI | AWGS | Comprehensive clinical diagnosis | Not mentioned |
Sato 2020 [30] | Japan | 66 ± 13 | Observational cohort study | 387 | DXA | ASMI | AWGS | Comprehensive clinical diagnosis | Not mentioned |
Santana 2019 [29] | Brazil | 71.6 ± 7.4 | Cross-sectional study | 99 | Muscle mass, HGS measurements made using a digital dynamometer, and the gait speed test | Muscle mass, muscle strength and physical performance | Based on muscle mass, muscle strength and physical performance | Comprehensive clinical diagnosis | Not mentioned |
Xia 2021 [32] | China | 62.2 ± 8.4 | Prospective cohort study | 2432 | DXA | ASMI | AWGS | Comprehensive clinical diagnosis | Not mentioned |
Chang 2022 [28] | China | ≥ 20 | Cross-sectional study | 780,405 | Muscle mass, HGS made using a digital dynamometer, the gait speed test | Muscle mass, muscle strength and physical performance | Based on muscle mass, muscle strength and physical performance | Comprehensive clinical diagnosis | Not mentioned |