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Table 2 Multivariate results of the relationship between blocking behaviors and income, age, sexual role, number of male partners in the past 3 months, condom use, sexual behavior disclosure, and prior HIV test

From: Blocking and being blocked on gay dating apps among MSM attending a sexual health clinic: an observational study

Variable

aOR

P

(95% CI)

aOR

P

(95% CI)

Undirected blocking behavior Blocked by someone

 Income

1.02

p < 0.01

(0.50, 2.05)

0.71

0.30

(0.37, 1.37)

 Age

0.98

0.70

(0.88, 1.09)

1.02

0.72

(0.93, 1.12)

Sexual role

 Insertive

–

–

–

–

–

 

 Receptive

0.20

0.06

(0.04, 1.06)

0.40

0.15

(0.12, 1.42)

 Versatile

0.10

p < 0.01

(0.02, 0.45)

0.14

p < 0.01

(0.04, 0.46)

Number of male partners in the past 3 months

2.02

0.07

(0.94, 4.34)

1.87

0.04

(1.03, 3.40)

Condom use

0.98

0.93

(0.49, 1.92)

0.82

0.51

(0.45, 1.50)

Social network degree

0.05

0.94

(0.29, 3.83)

1.29

0.65

(0.43, 3.92)

Weighted social network degree

1.05

0.77

(0.76, 1.46)

0.90

0.44

(0.68, 1.19)

Sexual behavior disclosure to family

2.66

0.17

(0.65, 10.82)

0.67

0.38

(0.52, 5.30)

Sexual behavior disclosure to medical professional

0.97

0.93

(0.49, 1.92)

0.06

0.92

(0.36, 3.10)

Prior HIV test

1.98

0.48

(0.29, 13.49)

7.90

0.05

(0.99, 63.13)

Intervention

1.83

0.31

(0.57, 5.86)

1.15

0.80

(0.40, 3.40)

N

 

208

  

208

 
  1. We estimated all aORs with logistic regression models. Adjusted Odds Ratios account for the above independent variables and intervention assignment, aOR Adjusted odds ratio