Author (year) | Country (name of study)a | Size (% male) | Age, years mean (SD) | Follow-up (years) | Study quality (SIGNb checklist) | No. of items | Details of the frailty index used in individual studies | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Domains included | ||||||||||||
Energy | Physical activity | Weight loss or BMI | Strengthc | Gait d | No. of other domainse | |||||||
Chao (2018) [32] | USA (HRS) | FP: 1642 (n/s); FI: 7713 (n/s) | n/s (aged ≥65)f | 7 | + | 24 | ✓ | 8 | ||||
Romero-Ortuno and Soraghan (2014) [33] | Europe - various (SHARE) | 7058 (43.3%) | M: 80.4 (4.6); F: 81.1 (4.9) | 5 | ++ | 70 | ✓ | ✓ | ✓ | ✓ | 12 | |
Ding (2017) [34] | England (ELSA) | 4638 (44.6%) | 74.0 (6.3) | 2 | 0 | 30 | ✓ | ✓ | ✓ | 6 | ||
Woo (2012) [35] | China | 4000 (50%) | n/s (aged ≥65) | 4 | + | 47 | ✓ | ✓ | ✓ | ✓ | 8 | |
Li (2015) [36] | Europe, North America and Australia (GLOW) | 3985 (0%) | 69.4 (8.9) | 3 | ++ | 34 | ✓ | ✓ | ✓ | ✓ | ✓ | 7 |
Zucchelli (2019) [37] | Sweden (SNSACK) | 3363 (35.1%) | 74.7 (11.2) | 3 to 5 | + | 45 | ✓ | 10 | ||||
Widagdo (2015) [38] | Australia (ALSA) | 2087 (n/s) | n/s (aged ≥65) | 3 | 0 | 39 | ✓ | ✓ | 8 | |||
Thompson (2019) [39] | Australia (NWAHS) | 909 (45%) | 74.4 (6.2) | 1 to 10 | ++ | 34 | ✓ | ✓ | ✓ | ✓ | ✓ | 8 |