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Table 2 Logistic regression for behavioural characteristics associated with undiagnosed infection by sex

From: Epidemiological and viral characteristics of undiagnosed HIV infections in Botswana

Variable

Category

Women (n = 383 newly diagnosed, n = 2252 known cases)

Men (n = 218 newly diagnosed, n = 743 known cases)

OR (95% CI)a

aOR (95% CI)b

OR (95% CI)

aOR (95% CI)

Number of HIV tests

1–2

Ref

 

Ref

 

3–4

3.74*** (3.28–4.27)

4.81*** (3.72–6.23)

0.76 (0.58–1.0)

0.74 (0.49–1.1)

4–9

6.41*** (5.43–7.61)

10.9*** (7.82– 15.2)

0.73 (0.51–1.07)

0.49* (0.28–0.85)

10 + 

9.8*** (6.77–14.74)

18.8*** (8.41–42.1)

1.1 (0.48–3.03)

1.0 (0.36–3.0)

Number partners in 1 year

1 partner

Ref

 

Ref

 

2 partners

1.15 (1.0–1.32)

0.88 (0.15–5.1)

1.32*** (1.0–1.68)

0.67 (0.02– 20.0)

3 partners

2.54*** (1.43–4.93)

4.6 (0.25– 84.6)

1.17 (0.5–2.68)

0.19 (0.004–9.8)

4 partners

1.34 (0.66–3.0)

0.52 (0.09–3.0)

1.87 (0.73–4.61)

1.0 (0.03–35.1)

None

0.71*** (0.62–0.82)

1.36 (1.0–1.86)

Concurrency in past year

No concurrent partners

Ref

 

Ref

 

Concurrent partners

1.17* (1.0–1.34)

1.2 (0.21–6.9)

1.42*** (1.12–1.79)

1.68 (0.06–46.8)

Partner’s HIV status

HIV negative

Ref

 

Ref

 

HIV positive

0.06*** (0.05–0.07)

0.09*** (0.07–0.12)

0.8 (0.6–1.07)

0.8 (0.6–1.06)

Condom use in past year

No

Ref

 

Ref

 

Yes

2.37*** (2.11–2.66)

0.8 (0.65–1.0)

Condom frequency

Always

Ref

 

Ref

 

Sometimes

1.98*** (1.75–2.25)

1.64*** (1.32–2.03)

0.83 (0.66–1.05)

1.56* (1.07–2.25)

Never

3.07*** (2.53–3.75)

2.9*** (2.15–3.89)

0.77 (0.53–1.14)

2.17** (1.25–3.76)

Nights away from home

Zero

Ref

 

Ref

 

< 1 week–< 1 month

1.24*** (1.09–1.42)

0.88 (0.67–1.15)

0.81 (0.64–1.03)

1.0 (0.65–1.68)

> 1 month

1.54*** (1.38–1.73)

0.96 (0.77–1.20)

0.85 (0.69–1.06)

0.95 (0.56–1.59)

  1. n number of participants, OR odds ratio, aOR adjusted odds ratio for clustering by community, CI confidence interval, Ref reference group
  2. *p < 0.05, **p < 0.01, ***p < 0.001
  3. aUnivariate logistic regression
  4. bMultivariable logistic regression