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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: AIDS Care. 2013 May 10;26(1):10.1080/09540121.2013.793277. doi: 10.1080/09540121.2013.793277

Table 1.

Demographic characteristics of 500 MSM recruited through RDS (weighted values)

Total Gay Bisexual Hetero Other 4-Groupa 2-Groupa
(N=500) (n=123) (n=181) (n=109) (n=87) F/X2df p t/X2df p
M (SD) M (SD) M (SD) M (SD) M (SD)
Age 30.5 (11.5) 34.7 (12.1) 30.2 (10.9) 29.4 (11.9) 26.6 (9.8) 9.43 <.001 -4.7493 <.001
Educationb 4.3 (1.7) 5.5 (2.1) 4.1 (1.3) 4.0 (1.4) 3.5 (0.9) 37.33 <.001 -8.0154 <.001
Monthly incomec 2.1 (1.0) 2.4 (1.1) 2.0 (0.9) 2.0 (0.8) 2.0 (0.9) 3.93 .009 -3.1153 .003
Network size 2.9 (2.0) 3.3 (2.9) 3.0 (1.6) 2.5 (1.6) 2.6 (1.5) 3.83 .010 -2.0146 .052
% % % % %
Work status d
Temporary work 32 19 34 38 39 13.73 .003 12.51 <.001
Unemployed 30 30 24 35 39 7.53 .057 0.01 .968
Employed by employer 25 42 24 12 21 28.23 <.001 22.71 <.001
Self employed 22 21 24 19 21 1.23 .755 0.01 .827
Student 18 31 18 9 11 21.63 <.001 17.21 <.001
Place of residencee
Ciudad Autónoma de Buenos Aires 29 38 30 24 18 20.26 .003 9.32 .010
West Zone 54 42 55 64 56
South Zone 15 16 13 12 25
North Zone 2 5 3 0 0
Civil statusf
Single 78 83 80 68 81 9.23 .026 1.91 .165
Married 4 1 8 1 4
Other 18 16 12 31 16
Health insuranceg
None 79 58 82 92 88 47.13 <.001 43.61 <.001
Employer-supported 19 36 16 8 11
Private 3 7 2 0 1
a

4-Group statistical tests compare the 4 sexual identity groups using ANOVAs for continuous variables and chi-square tests for categorical variables. 2-Group statistical tests compare the gay identified men to all other participants using t-tests for continuous variables and chi-square tests for categorical variables.

b

Education measured on a 9-point scale with 3=completed elementary school, 5=completed high school.

c

Income measured on a 5-point scale with 2=below $ar1000 per month, 3=between $ar1000 and $ar1999 per month

d

Categories are not mutually exclusive so may sum to more than 100%.

e

“North Zone” was excluded from the Chi-square tests, due to empty or low N cells.

f

“Married”/“Other” were compared to “Single” in Chi-square tests.

g

“Employer-supported”/”Private” were compared to “None” in Chi-square tests.