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. Author manuscript; available in PMC: 2024 Aug 12.
Published in final edited form as: J Sch Nurs. 2016 Jul 18;33(2):143–153. doi: 10.1177/1059840516658695

Table 2.

Penalized maximum likelihood logistic regression analysis identifying predictors of reporting having received a referral for HIV or STD testing or treatment, among the full analytic sample

Characteristic OR S.E. Z Sig. 95% CI

Model 1a (n=10,650)
Sex (male) 2.492 .487 4.67 <.001 1.699 3.654
Age 1.074 .081 .95 .340 .927 1.244
Race/Ethnicity
 Black/African-American, Non-Hispanic 1.652 .497 1.67 .095 .916 2.979
 Hispanic 1.443 .431 1.23 .220 .803 2.590
 Other or Multiracial 2.717 .968 2.80 .005 1.351 5.462
Sexual minority 3.799 .759 6.68 <.001 2.567 5.621
Ever had sex 2.579 .506 4.83 <.001 1.755 3.788

Model 2b (n=10,650)
Sex (male) 2.501 .489 4.69 <.001 1.705 3.668
Race/Ethnicity
 Black/African-American, Non-Hispanic 1.664 .500 1.69 .090 .923 3.000
 Hispanic 1.444 .431 1.23 .218 .804 2.593
 Other or Multiracial 2.717 .968 2.80 .005 1.351 5.462
Sexual minority 3.810 .762 6.69 <.001 2.574 5.639
Ever had sex 2.711 .514 5.26 <.001 1.870 3.930
a

Model Wald X2(7)=103.20, p <.001.

b

Model 2 excludes variables (age) found to be not significant in the initial model. Model Wald X2(6)=102.34, p <.001.