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. 2020 Nov 5;8:580637. doi: 10.3389/fpubh.2020.580637

Table 1.

Statistical results of univariate and multiple logistic regression models of associated risk factors for seropositivity of IgG anti-T. gondii antibodies in homeless persons.

Risk factor Total Positive Negative p-value OR
N % of total N % of line N % of line
T. gondii
1) DEMOGRAPHIC PROFILE
Sex Male 107 89.2 41 38.3 66 61.7 0.282 0.48 (0.12–1.85)
Female 13 10.8 3 23.1 10 76.9
Marital status Unmarried 108 90.0 41 38.0 67 62.0 0.377 0.54 (0.13–2.12)
Accompanied 12 10.0 3 25.0 9 75.0
Racial self-declaration White 28 23.3 8 28.6 20 71.4 0.310 1.60 (0.64–4.03)
Non-white 92 76.7 36 39.1 56 60.9
Educational background None to 8th grade 91 75.8 34 37.4 57 62.6 0.438 0.72 (0.32–1.64)
High School and University 29 24.2 9 31.0 20 69.0
Income No income 100 84.7 37 37.0 63 63.0 0.879 1.08 (0.38–3.03)
With income 18 15.3 7 38.9 11 61.1
City of origin São Paulo city 38 31.9 12 31.6 26 68.4 0.404 1.41 (0.62–3.02)
Other cities 81 68.1 32 39.5 49 60.5
Travel to other cities Yes 23 20.2 9 39.1 14 60.9 0.799 1.13 (0.44–2.89)
No 91 79.8 33 36.3 58 63.7
2) SOCIAL PROFILE
Contact with family Yes 66 55.5 23 34.8 43 65.2 0.582 1.22 (0.58–2.59)
No 53 44.5 21 39.6 32 60.4
Causes for becoming homeless Alcohol and drugs 28 23.3 9 32.1 19 67.9 0.736 1.16 (0.47–2.89)
Family conflicts 48 40.0 19 39.6 29 60.4 0.360 0.69 (0.32–1.51)
Housing loss 13 10.8 3 23.1 10 76.9 0.347 1.89 (0.49–7.33)
Other 18 15.0 9 50.0 9 50.0 0.140 0.47 (0.17–1.30)
Unemployment 34 28.3 10 29.4 24 70.6 0.433 1.41 (0.59–3.35)
Resting place Hostel 68 45.3 26 38.2 42 61.8 0.683 0.85 (0.40–1.81)
Street 52 34.7 18 34.6 34 65.4 0.905 1.05 (0.43–2.54)
Occupancy 30 20 10 33.3 20 66.7 0.662 1.21 (0.50–2.90)
Pregnant woman Yes 2 1.7 0 0.0 2 100.0 0.278 *
No 118 98.3 44 37.3 74 62.7
Have children Yes 81 67.5 33 40.7 48 59.3 0.182 0.57 (0.25–1.30)
No 39 32.5 11 28.2 28 71.8
Have own children Live together 4 5.1 0 0.0 4 100.0 0.087 *
Other people 74 94.9 32 43.2 42 56.8
Live alone Yes 52 46.0 19 36.5 33 63.5 0.815 0.91(0.42–1.97)
No 61 54.0 21 34.4 40 65.6
Pet owner Yes 26 22.4 12 46.2 14 53.8 0.231 0.58 (0.24–1.41)
No 90 77.6 30 33.3 60 66.7
Dog owner Yes 21 18.1 11 52.4 10 47.6 0.088 0.44 (0.16–1.14)
No 95 81.9 31 32.6 64 67.4
Cat owner Yes 6 5.2 2 33.3 4 66.7 0.880 1.14 (0.20–6.52)
No 110 94.8 40 36.4 70 63.6
Use of licit and/or illicit drugs Yes 91 75.8 35 38.5 56 61.5 0.470 0.72 (0.29–1.75)
No 29 24.2 9 31.0 20 69.0
Alcohol consumption Yes 52 43.3 18 34.6 34 65.4 0.471 0.76 (0.36–1.60)
Tobacco use Yes 32 26.7 16 50.0 16 50.0 0.068 0.46 (0.20–1.06)
Marijuana use Yes 31 25.8 12 38.7 19 61.3 0.784 0.88 (0.38–2.06)
Cocaine use Yes 34 28.3 12 35.3 22 64.7 0.844 1.08 (0.47–2.48)
Crack use Yes 16 13.3 7 43.8 9 56.2 0.528 0.71 (0.24–2.06)
Other drugs Yes 5 4.2 3 60.0 2 40.0 0.269 0.36 (0 05–2.30)
Assistance by Psychosocial Care Centers (CAPS) Yes 31 25.8 10 32.3 21 67.7 0.554 1.29 (0.54–3.08)
No 89 74.2 34 38.2 55 61.8
3) HYGIENE PROFILE
Bath frequency Daily 99 82.5 34 34.3 65 65.7 0.252 1.73 (0.67–4.50)
Sporadic 21 17.5 10 47.6 11 52.4
Wash clothes Yes 82 68.3 30 36.6 52 63.4 0.978 1.01 (0.45–2.24)
No 38 31.7 14 36.8 24 63.2
Change clothes frequency Daily 50 42.7 17 34.0 33 66.0 0.838 1.08 (0.50–2.33)
Sporadic 67 57.3 24 35.8 43 64.2
Body lice bite Yes 63 59.4 23 36.5 40 63.5 0.752 1.13 (0.51–2.52)
No 43 40.6 17 39.5 26 60.5
Presence of body lice Yes 17 14.2 4 23.5 13 76.5 0.225 2.06 (0.62–6.77)
No 103 85.8 40 38.8 63 61.2
*

The percentages can go higher than 100% because individuals could answer more than one option.