From: Systematic review of chronic ankle instability in children
Author, year | Study type | Participants | Follow up | Sample size | Measurement of CAI | Epidemiology of CAI- prevalence/distribution |
---|---|---|---|---|---|---|
Hiller et al. 2008[17] | Prospective cohort | Adolescent dancers 14.2 ± 1.8 yrs | 13 months | 116 | Ankle instability (CAIT) | 36% of all dancers unstable |
71% of sprainers unstable | ||||||
Ankle joint laxity (mod ant draw) | 37% right, 47% left ankles moderate to very lax | |||||
Self report | 50% of total had history of sprain | |||||
22% of total had history of ≥2 sprains | ||||||
38 sprains were sustained by 33 participants | ||||||
Incidence of sprains 0.21/1000 hours of dancing | ||||||
Hollwarth et al. 1985[19] | Retrospective | Patients with high ankle sprain, severe trauma for inclusion | 6 yrs | 96 | Subjective complaints; rolling over, pain, swelling, meterosensitivity | 31.3% subjective complaints |
16 (range: 9–21) yrs | X-ray (AP and lateral) injured side, talar tilt stress x-ray both sides | 17.7% ligament avulsions | ||||
Ligament stiffness, pain during supination or palpation of, fibular ligaments or syndesmosis | 38.5% “pathologic clinical findings” | |||||
Abnormal talar tilt (> 5 deg) | 42% abnormal | |||||
Marchi et al. 1999[20] | Prospective cohort | Patients with moderate to severe ankle injury 6–15 yrs. 26 female (48%) | 3 yrs | 220 | Medical report of objective (limited joint mobility, pain on pressure, axial deviations, weakness, or shortening of a limb) and subjective (pain at rest or during exercise, sense of unsteadiness, or paraesthesia) symptoms | 42% had objective or subjective symptoms (3 yrs follow up) |
12 yrs | 54 | 23% had permanent symptoms (Risk ratio: 1.79, p = 0.10) (12 yrs follow up) | ||||
Soderman et al. 2001[21] | Prospective cohort | Adolescent female soccer players 15.9 ± 2.1 (range: 14–19) yrs | 1 season | 153 | Medical report of re-injuries | 56% of sprainers had recurrent sprain |
Steffen et al. 2008[22] | Prospective cohort | Female soccer players 15.4 ± 0.8 (range: 14–16) yrs | - | 1430 | Self report of sprain history | Players with previous ankle injury (PI) more likely to sustain new ankle injury than those without (NH) (Rate ratio = 1.2 [1.1; 1.3] p < .001). |
FAOS | 92.0 ± 11.3 (PI), 97.3 ± 6.0 (NH) mean difference: −5.3 (95% CI = −6.0 to −4.5) | |||||
Pain | 62.8 ± 11.1 (PI), 68.2 ± 9.7 (NH) mean difference: −5.4 (95% CI = −6.3 to −4.5) | |||||
Symptoms | 96.3 ± 7.5 (PI), 98.7 ± 4.2 (NH) mean difference: −2.3 (95% CI = −2.9 to −1.8) | |||||
Activities of daily living | 89.0 ± 16.2 (PI), 96.3 ± 8.4 (NH) mean difference: −7.3 (95%CI = −8.4 to −6.2) | |||||
Sport and recreation function | 71.3 ± 12.4 (PI), 76.3 ± 10.0 (NH) mean difference: −5.0 (95% CI = −5.9 to −4.0) | |||||
Ankle-related quality of life | 411.5 ± 46.8 (PI), and 436.7 ± 26.8 (NH) mean difference: −25.2 | |||||
(95% CI = −28.5 to −21.9) | ||||||
Swenson et al. 2009[23] | Descriptive epidemiology study | High school students | - | 100 high schools 13755 injuries | Medical report of re-injury | Ankle most frequently diagnosed site for recurrent injury in basketball (boys: 58.4%, girls: 43.6%), volleyball (42.7%), soccer (boys: 34.8%, girls: 37.2%), football (29.8%), softball (26.3%), and wrestling (20.1%) |
28% of all recurrent injuries were ankle injuries | ||||||
More recurrent (28%) than new ankle injuries (19%) (Injury Proportion Ratio = 1.47; 95% CI, 1.31-1.65) | ||||||
Timm et al. 2005[24] | Prospective cohort | Emergency department patients with ankle injury | 6 weeks | 199 | Medical report of: | |
Pain with activity | 24 (34%) OW, 14 (15%) NW, RR = 2.25 (95% CI = 1.25-4.02) | |||||
Range: 8–18 yrs | Persistent swelling and/or weakness | 22 (31%) OW, 12 (13%) NW, RR = 2.40 (95% CI = 1.28-4.52) | ||||
Re-injury | 17 (24%) OW, 14 (15%) NW, RR = 1.60 (95% CI = 0.84-3.01) | |||||
OW mean age = 13.9 yrs | 6 months | 171 | Pain with activity | 19 (41%) OW, 19 (16%) NW, RR = 2.57 (95% CI = 1.50-4.39) | ||
NW mean age = 13.5 years. | Persistent swelling and/or weakness | 16 (34%) OW, 18 (15%) NW, RR = 2.28 (95% CI = 1.28-4.08) | ||||
Re-injury | 12 (26%) OW, 19 (16%) NW, RR = 1.62 (95% CI = 0.86-3.06) | |||||
31 (44%) of OW had persistent ankle symptoms at 6 months compared with 24 (26%) NW (RR, 1.70; 95% CI, 1.10-2.61) | ||||||
Tyler et al. 2006[25] | Cohort study | Male high school football players | 3 seasons | 152 | Medical report of sprain history | 50 (33%) had history of previous ankle sprain 15 non-contact ankle sprains were incurred. Of the 11 players who had a previous ankle sprain and sustained a noncontact sprain in this study, 9 (82%) injured the same ankle (incidence 2.1) |
Weir & Watson 1996[26] | Prospective cohort | Physical education students | 1 yr | 266 | Self report of injuries | 230 injuries were incurred. The most common injuries were ankle sprains. |
Males (56%): 14.3 ± 0.85 (range: 12–15) yrs | 7 overuse injuries of the ankle were incurred. 100% of overuse injuries of the ankle were re-injuries. | |||||
Females: 14.1 ± 0.90 (range: 12–15) yrs |