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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Br J Sports Med. 2016 Dec 1;51(7):580–585. doi: 10.1136/bjsports-2016-096760

Table 1.

Summary of Data Extracted from Included Studies

Study Features
(author, year,
design,
country)
Participants
(sport, level,
sex, age,
sample size)
Outcome
(definition and
ascertainment)
Injury estimate Exposure
(Risk factor(s)
Reported as
significant risk
factor(s)
Reported
statistics
Reported non-
significant risk
factor(s)
DB
score
(/23)^
Level of
Evidence
Azzam et al., 201518
Historical Cohort
United States
Professional Basketball Players
Male = 34
Age = not reported
n = 34 (17 injuries)
Injury = traumatic or overuse MSK event resulting from basketball that led to time loss of ≥7 days from practice and/or games.
Ascertained by ATC
50% of players experienced an injury over the 2008–2011 seasons Movement Quality
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total ≤ 14

Other
  • Minutes/game

  • Total games

  1. Higher HS score

  1. p<0.001*

  • DS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total score ≤ 14

9 4
Bardenett et al., 201519
Cohort
United States
High School Athletes (multiple sports)
Male = 77
Female = 97
Mean age (range): 15.2 (11–18)
n=176 (39 injuries)
Injury = a MSK injury resulting from organized high school sport practice or competition that required medical attention (sought care from ATC, PT, physician or other health care provider) and was restricted from full participation ≥1 practice or game.
Ascertained by ATC
69.5% of players experienced an injury over the 2012 fall season Movement Quality
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total

  • FMS total =11, 12, 13, 14, 15, 16, 17

Other
  • Age

  1. Higher ILL score

  2. Lower SM score

  1. p=0.02*

  2. p=0.001*

  • Age

  • DS

  • HS

  • ASLR

  • TSPU

  • RS

  • FMS total score

  • FMS total score ≤ 11, 12, 13, 14, 15, 16, 17

12 4
Bushman et al., 201520
Cohort
United States
Military Soldiers
Male = 2,476
Age range: 18–57
n = 2,476 (916 injuries)
Injury = all inpatient and outpatient medical encounters for any overuse and traumatic injury found in a soldiers’ electronic medical records with ECD-9_CM diagnostic code determined to be an injury.
Overuse injuries ICD-9-CM codes 710–739
Traumatic injuries ICD-9-CM codes 800–999
Ascertained by Defense Medial Surveillance System
Any injury: 37%
Overuse: 28%
Traumatic 16%
In the 6 months following screening
Movement Quality
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS individual test = 0

  • FMS total = 0

Other
  • Sex

  • Age

  • Military rank

  • BMI

  • Current smoker

Any injury
  • 1

    FMS = 0

  • 2

    BMI (≥25.0 kg/m2)

  • 3

    DS = 0

  • 4

    HS = 0

  • 5

    ILL = 0

  • 6

    TSPU = 0

  • 7

    RS = 0

Overuse
  • 8

    DS = 0

  • 9

    HS = 0

  • 10

    ILL = 0

  • 11

    TSPU = 0

  • 12

    RS = 0

Traumatic
  • 13

    HS

  • 14

    TSPU

  1. RR 1.3–2.1*

  2. OR 1.3 (95% CI: 1.0,1.9)*

    p=0.02

  3. OR 1.5 (1.1,2.0)*§

    p<0.01

  4. OR 3.5 (2.1,6.0)*§

    p<0.01

  5. OR 2.4 (1.5,3.8)*§

    p<0.01

  6. OR 2.0 (1.3,3.3)*§

    p<0.01

  7. OR 1.7 (1.0,2.8)*§

    p=0.03

  8. Not reported

  9. Not reported

  10. Not reported

  11. Not reported

  12. Not reported

  13. Not reported

  14. Not reported

  • Sex

  • Age

  • Military rank

  • Current smoker

  • SM

  • ASLR

12 4
Butler et al., 201321
Cohort
United States
Firefighter trainees
Sex = not reported
Age: not reported
n=108 (number of injuries not reported)
Injury = any episode that resulted in 3 consecutive missed days of training due to MSK pain
Ascertained: Strength and conditioning staff
No injury estimate was reported for the 16 week training academy
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total ≤14

  1. Lower DS score

  2. Lower TSPU score

  3. FMS total ≤ 14

  1. OR 1.2 (1.0,1.4)*

  2. OR 1.3 (1.1,1.5)*

  3. OR 8.31 (3.2,21.6)*

SEN: 0.83
SPE: 0.62
PLR: 2.2
NLR: 0.26
  • HS

  • ILL

  • SM

  • ASLR

  • RS

8 4
Chorba et al., 201022
Cohort
United States
NCAA Division II collegiate athletes
Female = 38
Mean age (SD): 19.2±1.2
n=38 (18 injuries)
Injury = a MSK injury resulting from organized intercollegiate sport practice or competition that required medical attention or advice from an ATC, AT student or physician.
Ascertained: ATC
47% of players experienced an injury over the 2007–2008 season
  • FMS total ≤14

  1. FMS total ≤ 14

  1. OR 3.85 (0.98,0.15.1)

    p=0.05

SEN = 0.58
SPE = 0.74
n/a 9 4
Dossa et al., 201431
Cohort
Canada
Junior hockey players
Male = 20
Mean age (range): 18.2 (16–20)
n=20 (17 injuries)
Injury = a physical condition which occurred during a game or practice which resulted in the player missing ≥1 game.
Contact = involved collision with another body, ice, boards, puck or stick.
Non-contact = not a contact injury
Ascertained: ATC
85% of players experienced an injury over the 2013–2014 season (76 games)
  • FMS total ≤14

n/a n/a
  • FMS total ≤14

SEN: 0.5 (0.2,0.8)
SPE: 0.7 (0.3,0.9)
PLR: 1.7 (0.6,5.2)
NLR: 0.7 (0.2,0.9)
12 4
Garrison et al., 201523
Cohort
United States
NCAA Division I collegiate athletes
Sex = not reported
Age range: 17–22
n=160 (52 injuries)
Injury = any MSK pain complaint associated with athletic participation, that required consultation with an ATC, PT or MD and resulted in modified training for ≥24 hours or required protective splinting or taping for continued participation
Ascertained: ATC
32.5% of players experienced an injury over the season Movement Quality
  • FMS total

  • FMS total ≤14

  • Prior injury + FMS total ≤14

  • FMS total ≤13

  • Prior injury + FMS total ≤13

Other
  • Prior injury

  1. Prior injury

  2. FMS total

  3. FMS total ≤14

  4. Prior injury + FMS total ≤14

  5. FMS total ≤13

  6. Prior injury + FMS total ≤13

  1. OR 3.45 (1.7,7.0)*

  2. p=<0.05

  3. OR 5.61* (2.7,11.5)

  4. OR 15.11* (6.6,34.6)

  5. OR 9.52* (4.1,21.8)

  6. OR 11.86* (4.1,34.2)

n/a 8 4
Hotta et al., 201533
Cohort
Japan
Collegiate track and field athletes
Male: 84
Mean age (range): 20.0 (18–24)
n= 84 (15 injuries)
Running injury = a MSK injury that occurred during participation in track and field practice or competition that prevented participation for 4 weeks.
Ascertained: not reported
17.9% of runners experienced an injury over a 6 month season Movement Quality
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total ≤14

Other
  • Age

  • Height

  • Weight

  • Running experience

  • Weekly training sessions

  • Weekly mileage

  • Performance level

  • Prior injury

  1. Lower DS score

  2. Lower ASLR score

  3. DS+ASLR score ≤ 3

  1. p=0.01*

  2. p<0.01*

  3. OR=9.7 (2.1,44.4)*§

    p<0.01

  • HS

  • ILL

  • SM

  • TSPU

  • RS

  • FMS total ≤14

  • Age

  • Height

  • Weight

  • Running experience

  • Weekly training sessions

  • Weekly mileage

  • Performance level

  • Prior injury

14 4
Kiesel et al., 200724
Cohort
United States
Professional American football players
Sex = not reported
Age = not reported
n=46 (13 injuries)
Injury = on the injury reserve list and a time loss of ≥3 weeks.
Ascertained: not reported
28.3% of players experienced an injury over the season
  • FMS total

  • FMS total ≤14

  1. Lower FMS score

  2. FMS total ≤14

  1. p<0.05* (t=5.62)

  2. OR 11.67* (2.5,54.5)

SEN: 0,54 (0.3,0.7)
SPE: 0.91 (0.8,0.96)
PLR: 5.92 (2.0,18.4)
NLR: 0.51 (0.3,0.8)
n/a 7 4
Kiesel et al., 201425
Cohort
United States
Professional American football players
Sex = not reported
Age = not reported
n=238 (60 injuries)
Injury = MSK injury resulting in time loss from preseason practice or games.
Ascertained: Sports medicine staff
25% of players experienced an injury over the preseason
  • FMS total

  • FMS asymmetry

  • FMS total ≤14

  • Asymmetry +FMS total ≤14

  1. FMS total

  2. FMS asymmetry

  3. FMS total ≤14

  4. Asymmetry + FMS total ≤14

  • 1

    p=0.02*

  • 2

    RR 1.80 (1.1,2.7)*

SEN: 0.58 (0.5,0.7)
SPE: 0.62 (0.6,0.7)
  • 3

    RR 1.87 (1.2,3.0)*

SEN: 0.26 (0.2,0.4)
SPE: 0.87 (0.8,0.9)
  • Asymmetry + FMS total ≤14 (not reported)

8 4
Knapik et al., 201526
Historical Cohort
United States
Coast Guard cadets
Male = 770
Female = 275
Mean age (SD)
Male: 18.1 (0.7)
Female: 17.9 (0.7)
n=1,045 (number of injuries not reported)
Injury = any physical bodily damage resulting in a clinic visit which was suspected to be caused by cadet training.
Ascertained: PT and other health care providers
Male = CII 18.6%
Female = CII 24.7%
For candidates attending classes between 2004–2007
  • FMS total ≤ 9

  • FMS total ≤ 10

  • FMS total ≤ 11

  • FMS total ≤ 12

  • FMS total ≤ 13

  • FMS total ≤ 14

  • FMS total ≤ 15

  • FMS total ≤ 16

  • FMS total ≤ 17

  • FMS total ≤ 18

  • FMS total ≤ 19

Calculated for males and females separately
Males
  • 1

    FMS total ≤9

  • 2

    FMS total ≤10

  • 3

    FMS total ≤11

Females
  • 4

    FMS total ≤9

  • 5

    FMS total ≤10

  • 6

    FMS total ≤11

  • 7

    FMS total ≤12

  • 8

    FMS total ≤13

  • 9

    FMS total ≤14

  • 10

    FMS total ≤15

Males
  • 1

    RR 1.63 (1.1,2.4)

    p=0.02*

  • 2

    RR 1.73 (1.2,2.5)

    p<0.01*

  • 3

    RR 1.64 (1.2,2.3)

    p<0.01*

SEN: 0.22
SPE: 0.87Females
  • 4

    RR 1.91 (1.2,3.0)

    p<0.01*

  • 5

    RR 1.81 (1.2,2.8)

    p=0.02*

  • 6

    RR 1.85 (1.1,2.7)

    p=0.02*

  • 7

    RR 1.66 (1.1,2.6)

    p=0.03*

  • 8

    RR 1.83 (1.2,2.7)

    p<0.01*

  • 9

    RR 1.93 (1.2,3.0)

    p<0.01*

SEN: 0.60
SPE: 0.61
  • 10

    RR 1.97 (1.2,3.2)

    p<0.01*

Males
  • FMS total ≤ 12

  • FMS total ≤ 13

  • FMS total ≤ 14

  • FMS total ≤ 15

  • FMS total ≤ 16

  • FMS total ≤ 17

  • FMS total ≤ 18

  • FMS total ≤ 19

Females
  • FMS total ≤ 16

  • FMS total ≤ 17

  • FMS total ≤ 18

  • FMS total ≤ 19

9 4
Lisman et al., 201327
Cohort
United States
Marine Corps
Officer Trainees
Male = 874
Mean age (SD): 22.4±2.7
n=874 (number of injuries not reported)
Any Injury = sought medical care ≥1 times during training due to physical bodily damage resulting from training
Overuse = sought medical care for presumed long-term repetitive energy exchanges that led to cumulative micro-trauma
Traumatic = sought medical care for acute or sudden energy exchanges leading to abrupt overload and tissue damage
Ascertained: Health care providers
Not reported (6 or 10 week training) Movement Quality
  • FMS total ≤14

Other
  • Prior injury

  • Baseline GES frequency ≥5

  • Baseline running frequency ≥5

  • Run history

  • Baseline weight training frequency ≤1, 2–4, ≥5

  • Training length (6 or 10 weeks)

  • PU ≥17

  • AC ≥100

  • RT ≥20.5

Any Injury
  • 1

    Prior injury

  • 2

    Longer training

  • 3

    Slower RT

  • 4

    FMS total ≤14

Overuse
  • 5

    Less GES

  • 6

    Longer training

  • 7

    Slower RT

Traumatic
  • 8

    Less running history

  • 9

    Longer training

  • 10

    Slower RT

  • 11

    FMS total ≤14

Any Injury
  • 1

    OR 1.41 (1.1,1.9)*

    p=0.02

  • 2

    OR 1.49 (1.1,2.0)*§

    p=0.009

  • 3

    OR 1.74 (1.3,2.4)*§

    p<0.001

  • 4

    OR 2.10 (1.3,3.3)*§

    p=0.001

Overuse
  • 5

    OR 1.78 (1.1,2.9)*§

    p=0.014

  • 6

    OR 1.6 (1.0,2.6)*

    p=0.32

  • 7

    OR 1.65 (1.0,2.6)*

    p=0.032

Traumatic
  • 8

    OR 2.07 (1.1,3.9)*

    p=0.023

  • 9

    OR 1.47 (1.1,2.0)*§

    p=0.021

  • 10

    OR 1.64 (1.2,2.3)*§

    p=0.003

  • 11

    OR 1.80 (1.1,2.9)*§

    p=0.015

  • Baseline running frequency ≥5

  • Baseline weight training frequency

  • PU ≥17

  • AC ≥100

15 2b
Padua et al., 201528
Cohort
United States
Elite youth soccer players
Male = 348
Female = 481
Mean age (SD, Range): 13.9 (1.8, 11–18)
n=829 (7 injuries)
Injury = ACL tear verified at surgical reconstruction
Non-contact = no direct contact to the LE by an external force
Indirect-Contact = contact with a body part other than the knee
Ascertained: self-report verified by surgeon
0.8 % of players experienced an ACL tear over 2006–2009 seasons
IRR = 0.006 (0002,0.012)
  • LESS total

  • LESS ≥5

  1. Higher LESS total

  2. LESS ≥5

  1. t=−2.78, p< 0.005*

  2. RR 10.7

SEN: 0.86 (0.42, 0.99)
SPE: 0.65 (0.62,0.67)
PPV: 0.01 (0.006,0.03)
NPV: 0.998 (0.991,0.999)
n/a 11 2b
Shojaedin et al., 201432
Cohort
Iran
Competitive or recreational university athletes
Male = 50
Female = 50
Mean age (SD; range): 22.6 (3.0; 18–25)
n=100 (35 injuries)
Any injury = not reported
Knee injury = not reported
Ankle injury = not reported
35% sustained injury during the season
  • FMS total

  • FMS score <17

Any injury
  • 1

    FMS total

  • 2

    FMS total <17

Knee Injury
  • 3

    FMS total <17

Ankle Injury
  • 4

    FMS total <17

Any Injury
  1. p=0.005

  2. OR 4.70 (no p-value or 95%CI reported)

SEN: 0.65
SPE: 0.78
PLR: 2.46
NLR: 0.62
  • FMS total <17 for knee and ankle injury

3 4
Smith et al., 201234
Case-control (embedded in a cohort)
United States
High school and college athletes
Male = 29
Female = 73
Mean age (SD): 18.3 (2)
n= 92 (28 injured)
Noncontact ACL tear = ACL tear resulting from a non-knee contact event with another athlete, ground, or extraneous structure
Ascertained: orthopedic surgeon, MRI and surgery
30.4% of athletes sustained an injury over 1 season
  • LESS total

  • LESS ≤ 4

  • LESS >4–≤5

  • LESS >5–≤6

  • LESS >6

  • n/a

  • n/a

  • LESS total

  • LESS ≤ 4

  • LESS >4–≤5

  • LESS >5–≤6

  • LESS >6

14 3b
Warren et al., 201529
Cohort
United States
NCAA Division 1 collegiate athletes
Male = 89
Female = 78
Age range: 18–24
n= 167 (74 injuries)
Injury = First non-contact MSK problem that resulted in medical intervention.
Non-contact injury: non-contact mechanism
Contact injury = contact mechanism
Ascertained: ATC
44% of athletes experienced an injury over the competitive season Movement Quality
  • DS

  • HS

  • ILL

  • SM

  • ASLR

  • TSPU

  • RS

  • FMS total

  • FMS total ≤10

  • FMS total ≤12

  • FMS total ≤14

  • FMS total ≤16

  • FMS total ≤18

  • Asymmetry of 5 bilateral FMS tests

Other
  • Prior injury

  • Sex

  • Age

  • BMI

  • Sport

  1. Female sex

  2. Older age

  3. Lower BMI

  4. ILL = 2

  1. p=0.003*

  2. p=0.006*

  3. p=0.006*

  4. OR 0.21*§ (0.08,0.59)

  1. Prior injury

  2. Sport

  3. DS

  4. HS

  5. SM

  6. ASLR

  7. TSPU

  8. RS

  9. FMS total

  10. FMS total ≤10

  11. FMS total ≤12

  12. FMS total ≤14

  13. FMS total ≤16

  14. FMS total ≤18

  15. Asymmetry of 5 bilateral FMS tests

11 4
Wiese et al., 201430
Cohort
United States
NCAA Division 1 collegiate American football players
Sex: not reported
Mean age (SD): 18.9 ± 1.3
n = 144 (93 injuries)
Injury = initial MSK problem arising from organized training or game requiring medical attention and restricted participation for ≤ 1 days
LE injury = groin – toes
Overuse injury = tendinopathy, muscle spasm, tightness or soreness
Non-contact injury = non-contact mechanism
Injury >10 days
Ascertained: ATC
65% of players experienced an injury over 1 season
52% LE
39% overuse
42% noncontact
20% >10 days
  • FMS total

  • FMS total ≤12

  • FMS total ≤17

  • FMS total ≤18

  • n/a

  • n/a

  • FMS total

  • FMS total ≤12

  • FMS total ≤17

  • FMS total ≤18

10 4
*

Statistically significant p<0.05,

§

Multivariable analyses,

Estimated from reported injury incidence,

+

analyses did not account for matched design,

^

Maximum Downs and Black Score for prospective cohort study = 23, while the maximum score for a randomized control trail is 33, AC = abdominal crunch, ASLR = active straight leg raise, ATC = certified athletic trainers, BMI = body mass index (kg/m2), CI = confidence interval, DB = Downs and Black Score, DF = dorsiflexion, DS = deep squat, FMS = Functional Movement Screen, GES = general sport and exercise, HR = Hazard ratio, hrs=hours, HS = hurdle step, ICD-9-CM = International Classification of Disease, Ninth Revision, Clinical Modification, ILL = in-line lunge, IR = incidence rate, IRR = incidence rate ratio, LE = lower extremity, LESS = Landing Error Scoring System, LOE = level of evidence, n/a = not applicable, MD = medical doctor, MSK = musculoskeletal, n/a = not applicable, NLR = negative likelihood ratio, OR = odds ratio, PLR = positive likelihood ratio, PT = physical therapists, PU = pull ups, ROM=range of motion, RR = risk ratio, RS = rotary stability, RT = 3-mile run time, SD = standard deviation, SLHB = single leg hamstring bridge, SLR = straight leg raise, SM = shoulder mobility, TOP = tenderness on palpation, TSPU = trunk stability push-up, TXHD = triple cross-over hop for distance, UE = upper extremity, VDJ = vertical drop jump, wks = weeks, YBT = Y-balance test, yrs = years.