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Table 1 Descriptive statistics of sociodemographic characteristics and univariate models of factors associated with “Having experienced episodes of police violence” among FSW in Argentina (N = 173)

From: Female sex workers and police violence during the Covid-19 health crisis in 2020–2021: results from the EPIC multi-country community-based research program in Argentina

 

Experiences of police violence

Total

sample N = 173

p-value

Univariable N = 173

No

n = 96 (55.5%)

Yes

n = 77 (44.5%)

n (%)

n (%)

N (%)

OR [95% CI]

p-value

Age median [IQR] (for 1 year increase)

32 [25–40]

36 [29–44]

34 [27–42]

0.003

1.04 [1.01;1.08]

0.007

Gender identity

   

 < 0.001

  

 Cis sex worker

74 (77.1)

31 (40.3)

105 (60.7)

 

1.00 [1.00;1.00]

 

 Trans sex worker

22 (22.9)

46 (59.7)

68 (39.3)

 

4.99 [2.58;9.64]

 < 0.001

Current educational level

   

0.156

  

 Never went to school/ Primary education

33 (34.4)

33 (42.9)

66 (38.2)

 

1.00 [1.00;1.00]

 

 Secondary education

43 (44.8)

36 (46.8)

79 (45.7)

 

0.84 [0.43;1.61]

0.595

 Higher education

20 (20.8)

8 (10.4)

28 (16.2)

 

0.40 [0.15;1.04]

0.059

Current place of residence

   

0.451

  

 Urban setting/big city

65 (67.7)

56 (72.7)

121 (69.9)

 

1.00 [1.00;1.00]

 

 Semi-urban environment/medium or small city

21 (21.9)

17 (22.1)

38 (22.0)

 

0.94 [0.45;1.95]

0.868

 Rural setting/village

10 (10.4)

4 (5.2)

14 (8.1)

 

0.46 [0.14;1.56]

0.215

Current housing conditions

   

0.309

  

 Own home/rental home

77 (81.1)

66 (86.8)

143 (83.6)

 

1.00 [1.00;1.00]

 

 In a house hosted for free/

      

 Squatting/on the street/do not have a fixed home

18 (18.9)

10 (13.2)

28 (16.4)

 

0.65 [0.28;1.50]

0.312

Non-injection drug user

   

0.024

  

 No

82 (85.4)

55 (71.4)

137 (79.2)

 

1.00 [1.00;1.00]

 

 Yes

14 (14.6)

22 (28.6)

36 (20.8)

 

2.34 [1.10;4.97]

0.027

PLHIV

   

0.009

  

 No

89 (92.7)

61 (79.2)

150 (86.7)

 

1.00 [1.00;1.00]

 

 Yes

7 (7.3)

16 (20.8)

23 (13.3)

 

3.33 [1.29;8.59]

0.013

Migrant

   

0.004

  

 No

86 (89.6)

56 (72.7)

142 (82.1)

 

1.00 [1.00;1.00]

 

 Yes

10 (10.4)

21 (27.3)

31 (17.9)

 

3.22 [1.41;7.36]

0.005

Financial situation deteriorated considerably*

   

0.008

  

 No

35 (36.5)

14 (18.2)

49 (28.3)

 

1.00 [1.00;1.00]

 

 Yes

61 (63.5)

63 (81.8)

124 (71.7)

 

2.58 [1.27;5.27]

0.009

Worse quality of life*

   

0.047

  

 No

29 (30.2)

13 (17.1)

42 (24.4)

 

1.00 [1.00;1.00]

 

 Yes

67 (69.8)

63 (82.9)

130 (75.6)

 

2.10 [1.00;4.39]

0.049

Negative impact of the Covid-19 health crisis on the professional life in general

   

0.028

  

 No

19 (22.4)

7 (9.5)

26 (16.4)

 

1.00 [1.00;1.00]

 

 Yes

66 (77.6)

67 (90.5)

133 (83.6)

 

2.76 [1.09;6.99]

0.033

SW as currently main source of income

   

0.464

  

 No, I have another main activity

7 (7.5)

6 (7.9)

13 (7.7)

 

0.97 [0.31;3.03]

0.955

 Yes, but I have other complementary activity

16 (17.2)

8 (10.5)

24 (14.2)

 

0.56 [0.23;1.41]

0.221

 Yes, it is my only activity

70 (75.3)

62 (81.6)

132 (78.1)

 

1.00 [1.00;1.00]

 

Decrease of the SW income received per week*

   

0.011

  

 No

12 (14.1)

2 (2.7)

14 (8.8)

 

1.00 [1.00;1.00]

 

 Yes

73 (85.9)

72 (97.3)

145 (91.2)

 

5.92 [1.28;27.4]

0.023

Fear or experiences of discrimination by physicians/other health workers*

   

0.044

  

 Never experienced this feeling

42 (46.1)

22 (29.7)

64 (38.8)

 

1.00 [1.00;1.00]

 

 Same as before/less often

25 (27.5)

20 (27.0)

45 (27.3)

 

1.53 [0.70;3.34]

0.289

 More often

24 (26.4)

32 (43.3)

56 (33.9)

 

2.55 [1.22;5.33]

0.013

Consultation with a CBO worker for medical care/treatments

   

 < 0.001

  

 No

79 (88.8)

39 (52.7)

118 (72.4)

 

1.00 [1.00;1.00]

 

 Yes

10 (11.2)

35 (47.3)

45 (27.6)

 

7.09 [3.18;15.79]

 < 0.001

  1. *Since the COVID-19 health crisis