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Table 2 Demographic information for law enforcement recruits

From: Epidemiology of musculoskeletal injury in military recruits: a systematic review and meta-analysis

Study

Sample size (n)

Total injured recruits (n)

Total injuries (n)

Total Sample sex split (% female)

Total Sample Age (years) – M (SD)

Total Sample Height (cm) – M (SD)

Total Sample Weight (kg) – M (SD)

Total Sample BMI (kg/m2) – M (SD)

Injured Sample sex split (% female)

Injured Sample Age (years) – M (SD)

Injured Sample Height (cm) – M (SD)

Injured Sample Weight (kg) – M (SD)

Injured Sample BMI (kg/m2) – M (SD)

Billings 2004 [40]

1210

-

846

18.5

18.4 (3.4)

-

-

23.9 (3.3)

28.3

-

-

-

-

Blacker 2008 [11]

13,417

793

793

11

20.5 (3.2)

175 (8)

70 (10)

23 (2)

32

-

-

-

-

Booth 2006 [3]

58

-

37

12

-

-

-

-

-

-

-

-

-

Brooks 2019 [41]

2000

820

-

27

-

-

-

-

62

-

-

-

-

Brushøj 2008 [42]

490

-

513

-

-

-

-

-

-

-

-

-

-

Burley 2020 [43]

69

-

17

24.3

-

-

-

-

-

-

-

-

-

Chassé 2020 [16]

6872

307

307

-

-

-

-

-

40.40

25.3 (6.9)

-

-

-

Cowan 2011 [15, 37]

7323

-

-

0

-

-

-

-

0

-

-

-

-

Cowan 2012 [44]

1568

1007

-

100

-

-

-

-

100

-

-

-

-

Dawson 2015 [45]

267

40

-

22.1

-

-

-

-

35

-

-

-

-

Din 2016 [46]

611

74

96

0

20.4 (1.9)

-

-

-

0

-

-

-

-

Esterman 2005 [17]

22

1

1

0

-

-

-

-

0

-

-

-

-

Everard 2018 [47]

132

-

28

0

22.4 (4.2)

177 (35)

74.5 (5.8)

-

0

-

-

-

-

Fallowfield 2020 [12]

1193

372

-

17

-

-

-

-

26.6

-

-

-

-

Goodall 2013 [48]

432

-

279

6

-

-

-

-

-

-

-

-

-

Hall 2017 [13]

3050

591

-

0

-

-

-

-

0

-

-

-

-

Hauschild 2018 [8]

106,367

33,005

65,025

20

-

-

-

-

30.3

-

-

-

-

Havenetidis 2011 [49]

233

66

191

0

20.1 (1.3)

177.6 (6.2)

77 (9.2)

-

-

-

-

-

-

Havenetidis 2017 [50]

268

86

86

0

20.4 (1.7)

177.7 (6.1)

79.3 (9.8)

-

0

20.4 (1.5)

177.7 (6.6)

80.1 (10.3)

-

Heagerty 2018 [18]

10,498

-

4101

-

-

-

-

-

-

-

-

-

-

Heller 2020 [4]

227

108

-

100

-

-

-

-

100

-

-

-

-

Hofstetter 2012 [51]

125

-

-

0

20.4 (1.2)

178 (10)

73.3 (9.1)

23.3 (2.6)

0

-

-

-

-

Jones 2017 [19]

184,670

39,328

-

23

Female = 22.3 (4.8), Male = 22.6 (4.9)

Female = 162 (6.4) Male = 176 (6.9)

Female = 61.8 (8.6), Male = 77.8 (13.2)

Female = 23.3(2.7), Male = 25.1 (3.7)

74.7

-

-

-

-

Kerr 2004 [52]

415

325

215

10.6

-

-

-

-

13

-

-

-

-

Knapik 2006 [54]

2072

-

-

43.3

-

-

-

-

-

-

-

-

-

Knapik 2010a [53]

-

-

-

27

-

-

-

-

-

-

-

-

-

Knapik 2010b [55]

689

-

-

37.3

-

-

-

-

-

-

-

-

-

Mohammadi 2013 [56]

50

8

8

0

21.4 (2.3)

174.5 (6.4)

73.1 (6.3)

24

0

21.9 (0.5)

175.1 (3.9)

72.9 (4.6)

23.7 (2.4)

Müller-Schilling 2019 [5]

774

255

397

-

20.5 (2.2)

179.6 (7.0)

75.9 (11.2)

23.5 (2.8)

-

-

-

-

-

Munnoch 2007 [57]

1115

166

166

0

20 (3)

-

-

-

0

20.1 (3)

176.8 (6.1)

73.5 (8)

23.4 (2.5)

Nye 2016 [22]

67,525

8448

11,673

21.6

-

-

-

-

33.9

-

-

-

-

O’Connor 2011 [20]

874

270

270

0

-

-

-

-

0

-

-

-

-

Orr 2020 [14]

12,077

4138

4138

8.2

-

-

-

-

-

-

-

-

-

7692

1351

1351

13

-

-

-

-

-

-

-

-

-

Roos 2015 [6]

112

NR

66

0

20.54 (1.34)

177.76 (6.51)

71.86 (10.38)

22.71 (2.84)

0

-

-

-

-

Schram 2019 [9]

4452

1235

1235

-

-

-

-

-

-

-

-

-

-

1630

150

150

-

-

-

-

-

-

-

-

-

-

Sharma 2011 [7, 36]

562

232

-

0

19.8 (2.3)

176.5 (6.8)

70.4 (9.7)

22.5 (2.5)

-

-

-

-

-

Sharma 2015 [10, 35]

6608

3215

3226

0

18.9 (2.3)

176.5 (7.8)

69 (9.7)

22.14 (2.5)

-

-

-

-

-

Trone 2014 [58]

1497

398

 

39.9

Female = 19.2 (2.0), Male = 20.7 (2.3)

Female = 163 (7), Male = 177 (7)

Female = 59.5 (7.5), Male = 77 (12.3)

-

34.5

-

-

-

-

Withnall 2006 [59]

401

86

86

22.7

19.8

175

70.3

22.8

-

-

-

-

-

Wyss 2012 [61]

459

-

320

-

-

-

-

-

-

-

-

-

-

Wyss 2014 [60]

1676

-

907

-

20.7 (1.2)

177.6 (6.3)

73.7 (10.6)

23.4 (3)

-

-

-

-

-

  1. Legend: n Number, M Mean, SD Standard deviation, cm Centimetres, kg Kilograms, BMI Body mass index