Table 2.
Logistic Regression of Consistent Condom Use with Main Partner | Linear Regression of Number of Sexual Intercourse Acts Unprotected by Condom Use with Main Partner 2 | ||||
---|---|---|---|---|---|
Odds Ratio | 95% Confidence Interval | B | 95% Confidence Interval | Eta Squared 3 | |
Male gender | 1.36 | [0.92,2.02] | -.07 | [-.24,.10] | .00 |
Age | 0.93 | [0.82,1.05] | .02 | [-.03,.08] | .00 |
Mexican ethnicity vs. other | 1.24 | [0.85,1.82] | -.18 * | [-.35,-.01] | .01 |
Born in the United States | 0.89 | [0.57,1.41] | .11 | [-.08,.31] | .00 |
Recruited through any clinic versus random selection | 1.07 | [0.69,1.67] | -.06 | [-.26,.14] | .00 |
Recruited through community clinic versus any HMO method | 0.63 | [0.38,1.05] | .33 ** | [.11,.56] | .01 |
Woman's consistent use of hormonal contraceptives | 0.18 *** | [0.11,0.28] | .88 *** | [.71,1.05] | .13 |
One's own desire to avoid pregnancy | 2.13 ** | [1.37,3.31] | -.36 *** | [-.55,-.18] | .02 |
Length of sexual relationship | 0.56 *** | [0.47,0.67] | .24 *** | [.17,.32] | .05 |
Overall trust in main partner | 0.60 ** | [0.42,0.86] | .20 ** | [.05,.35] | .01 |
Perception of main partner's potential infidelity | 1.57 * | [1.01,2.44] | -.29 ** | [-.48,-.09] | .01 |
One's own sexual concurrency during the past year 4 | 1.02 | [0.62,1.66] | -.05 | [-.27,.16] | .00 |
Study variables were entered simultaneously as predictors in each regression model.
Due to positive skew, the natural log of number of unprotected sexual intercourse acts is examined in linear regression analysis.
Eta Squared values are presented as a measure of effect size for linear regression analysis. Eta Squared represents the proportion of variance in an outcome that is accounted for by a specific predictor. Values of .01, .06, and .14 correspond to small, medium, and large effect sizes, respectively.
One's own sexual concurrency during the past year did not predict consistent condom use with one's main partner or number of unprotected sexual intercourse acts with one's main partner when this variable was individually entered into regression models.
p<.05,
p<.01,
p<.001