7 research outputs found
Demographic characteristics of respondents (N = 30).
<p>Demographic characteristics of respondents (N = 30).</p
Sexual behavior changes after circumcision or learning that circumcision reduces transmission of HIV (N = 30)<sup>*</sup>.
<p>*Categories are not mutually exclusive as two respondents reported multiple protective behaviors, therefore not all column totals add up to 100%.</p
Results of the Dichotomous Random Effects Regression Models for Incident Infections of Gonorrhea, Chlamydia, or Trichomoniasis, Circumcision Status, and Time With and Without Covariates
*<p>The following co-variates were adjusted for: age, marital status, education, and income.</p>†<p>All odds ratios are population averaged, subject-specific not shown.</p
Baseline Comparability of Men in Circumcised and Uncircumcised Group (n = 1309)<sup>*</sup>
*<p>16 men in “circumcised” group did not actually receive circumcisions and 3 men in the “uncircumcised” group received circumcisions.</p>**<p>Percentages do not add up to 100 because of rounding.</p
Median Risk Scores for Circumcised and Uncircumcised Men at Baseline, 6 and 12 month follow-up visits.
<p>Median Risk Scores for Circumcised and Uncircumcised Men at Baseline, 6 and 12 month follow-up visits.</p
Sexual Risk Scale Items for Circumcised and Uncircumcised Men at Baseline, 6 and 12 Month Follow-up Visits<sup>*</sup>
*<p>These variables are not included in the 18-item scale.</p
Results of the Two-Part Random Effects Regression Modeling the Sexual Risk Score, Circumcision Status, and Time With and Without Covariates
<p>In the logistic part of the model, exponentiated betas represent population averaged odds ratios.</p><p>In the lognormal portion of the model represent, exponentiated betas represent % change in Y (risk score), per change in unit X.</p><p>In the adjusted model, the following covariates were adjusted for: age, marital status, education, income, and belief that circumcision reduces the risk of acquiring HIV.</p