Table 1 Characteristics of the study samples

Sex

 Male

159 (61.4%)

54 (38.3%)

p = 0.01

16 (11.1%)

p = 0.00001

9 (8.10%)

p > 0.05

37 (41.6%)

p = 0.025

20 (28.6%)

p = 0.02

 Female

100 (38.6%)

20 (22.4%)

4 (4.5%)

1 (1.45%)

16 (24.2%)

4 (11.8%)

Age

 0–24

38 (14.7%)

11(28.9%)

p = 0.024

8 (21.1%)

p = 0.026

5 (13.1%)

p = 0.024

9 (23.7%)

p = 0.000011

7 (19.4%)

p > 0.05

 25–34

65 (25.1%)

14 (21.9%)

3 (4.68%)

2 (30.8%)

9 (14.1%)

7 (25%)

 35–44

65 (25.1%)

15 (23.0%)

5 (7.69%)

1 (1.53%)

9 (20.45%)

4 (14.3%)

 45–54

40 (15.4%)

12 (30.0%)

4 (10.0%)

2 (8.33%)

11 (52.4%)

4 (40%)

 55+

40 (15.4%)

20 (50%)

0

0

15 (62.5%)

2 (22.2%)

 NR

11 (4.2%)

2 (18.1%)

0

0

0

0

Nationality

 Indian subcontinent

121 (46.7%)

42 (38.8%)

p = 0.03

16 (14.6%)

p = 0.02

9 (10.3%)

p > 0.05

31 (43.7%)

p = 0.02

19 (36.5%)

p = 0.01

 West Asia

79 (30.5%)

16 (23.2%)

1 (1.42%)

1 (1.96%)

10 (22.2%)

2 (6.89%)

 South East Asia

12 (4.63%)

3 (27.3%)

1 (10%)

0

0

0

 North Africa

36 (13.9%)

13 (39.4%)

2 (6.25%)

0

11 (40.7%)

3 (23.1%)

 Others

11 (4.25%)

0

0

0

1 (16.7%)

0

Total positive (%)

74 (32.1)

20 (8.65)

10 (5.56)

53 (34.2)

24 (23.1)