Table 1: Socio-demographic, anthropometric characteristics and life style of the participants. Results are shown as arithmetic mean, standard deviation and percentage [median].

 

Category I

(< 25 µg/dL) (n = 367)

Category II

(> 25 - < 45 µg/dL) (n = 87)

Category III

(> 45 µg/dL) (n = 26)

Age (years)

28.3 ± 8.3

[28.0]

21.0 ± 3.7*

[21.0]

18.3 ± 2.5*

[17.0]

Gender

 Female

 Male

 

311 84.7%

56 15.2%

 

58 66.6%*

29 33.3%

 

18 69.2%*

8 30.7%

BMI

27.2 ± 7.9

[27.0]

25.7 ± 7.5

[25.1]

24.9 ± 9.5

[25.5]

Years of residence

21.9 ± 11.5

[21.6]

19.0 ± 6.1*

[19.0]

16.3 ± 5.5*

[17.0]

Years of school

11.1 ± 3.33

[11.0]

11.4 ± 3.2

[11.0]

12.3 ± 2.7

[12.0]

Occupation

 Housewife

 Several&

 

178 48.5%

189 51.5%

 

27 31.0%*

60 69.0%

 

5 19.2%*

21 81.8%

Years of work

5.4 ±10.0

[3.0]

10.8 ± 23.48

[2.0]

1.7 ± 0.44

[2.0]

Occupational exposure to chemical compounds#

 Yes

 No

 

 

27 7.4%

340 92.6%

 

 

14 16.1%*

73 83.9%*

 

 

6 15.4%

22 84.6%

Smoking

 Yes

 No

 

94 25.6%

273 74.3%

 

23 26.4%

64 73.5%

 

7 26.9%

19 73.0%

Alcohol intake

 Yes

 No

 

198 53.9%

169 46.0%

 

48 55.1%

39 44.8%

 

14 53.8%

12 46.1%

History of renal diseases

 Yes

 No

 

101 27.6%

266 72.4%

 

20 23.0%

67 77.0%

 

6 23.1%

20 76.9%

History of bladder infection

 Yes

 No

 

55 14.9%

312 85.0%

 

11 12.6%

76 87.3%

 

6 23.0%

20 76.9%

History of bladder-renal co-infection

 Yes

 No

 

17 4.6%

349 95.3%

 

3 3.4%

84 96.5%

 

0

26 100.0%

History of regular analgesic intake®

 Yes

 No

 

196 53.4%

171 46.5%

 

39 44.8%

39 44.8%

 

16 61.5%

10 38.4%

History of drug abuse

 Yes

 No

 

7 1.9%

360 98.0%

 

1 1.1%

86 98.8%

 

0

26 100.0%

History of lupus

 Yes

 No

 

5 1.3%

362 98.6%

 

0

87 100.0%

 

0

26 100.0%

History of diabetes mellitus

 Yes

 No

 

21 5.7%

346 94.2%

 

4 4.6%

83 95.4%

 

0

26 100.0%

 

*p < 0.05 Student’s t test, or Mann-Whitney test or Chi2 test (category I vs category II or III).

&Office job 30%, self-employed 31.8%, trader 19.6% and student 18.5%.

#Organic solvents, heavy metals, welding fumes, pesticides and fertilizers, oil derivate, dust, exhaust smoke, paint and aniline. ® Paracetamol, ibuprofen, salicylates and naproxen were the analgesics exclusively used by participants.