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Table 2 Crude and adjusted logistic regression models for the association between recruitment type and testing HIV positive at a community-based organization in Lima, Peru, 2012–2013

From: High HIV prevalence and the internet as a source of HIV-related service information at a community-based organization in Peru: a cross-sectional study of men who have sex with men

Characteristic/Behavior

Crude

Adjusted

ORa

(95 % CI)

OR

(95 % CI)

OR

(95 % CI)

In person

Ref

 

Ref

 

Ref

 

Online

1.60

(1.20, 2.13)

1.58

(1.18, 2.13)

1.61

(1.19, 2.18)

Sex Worker

1.27

(0.80, 2.00)

1.12

(0.68, 1.84)

1.12

(0.68, 1.86)

Age

1.01

(0.99, 1.02)

1.01

(0.99, 1.03)

1.01

(0.99, 1.03)

Any previous HIV testb

0.70

(0.52, 0.93)

0.62

(0.45, 0.84)

0.62

(0.45, 0.85)

Sexual Role in past 6 months

 Penetrative

Ref

 

Ref

 

Ref

 

 Both receptive and penetrative

2.13

(1.44, 3.14)

2.08

(1.40, 3.08)

2.09

(1.40, 3.10)

 Receptive

1.78

(1.14, 2.78)

1.67

(1.06, 2.63)

1.66

(1.05, 2.62)

 No sex

1.42

(0.46, 4.33)

1.31

(0.43, 4.04)

1.34

(0.43, 4.14)

Consistency of condom use in past 3 monthsc

 100 % condom use

Ref

 

Ref

 

Ref

 

 50–99 % condom use

1.09

(0.77, 1.55)

1.09

(0.75, 1.58)

1.09

(0.75, 1.59)

 1–49 % condom use

1.07

(0.74, 1.55)

1.00

(0.68, 1.46)

0.96

(0.66, 1.41)

 Never used condom

1.05

(0.71, 1.55)

0.97

(0.65, 1.46)

0.95

(0.63, 1.43)

Alcohol/drug use during sex in past 3 months

1.13

(0.86, 1.49)

1.16

(0.87, 1.55)

1.18

(0.89, 1.57)

Sex partner had STI in past 3 months

1.24

(0.84, 1.82)

1.27

(0.85, 1.91)

1.25

(0.83, 1.88)

Looked up STI information online in past 3 months

0.97

(0.73, 1.29)

  

0.68

(0.42, 1.08)

Used the internet to look for sex in past 3 months

1.16

(0.88, 1.51)

  

1.09

(0.80, 1.50)

Sex with partner met on the internet in past 3 months

1.09

(0.82, 1.46)

  

1.28

(0.80, 2.06)

  1. aThe reported crude odds ratios (ORs) represent a series of individual logistic regressions depicting the relationships between the risk factors and the outcome variable (HIV status), i.e., models with only one risk factor being analyzed
  2. bResponding “No” to the dichotomous variables is the referent group
  3. cCalculated as the number of sexual encounters in which a condom was not used, divided by the total number sexual encounters