Human Papillomavirus-Associated Sexual Risks Among High School Students in the U.S.: Does Sexual Orientation Play a Role?

Comparison of Different Sexual Behaviors According to Sexual Orientation and the Mediating Role of Attitudes toward Sexual Behaviors between Sexual Orientation and Sexual Behaviors in Young Adults

Objectives

To explore the relationship between sexual orientation and specific sexual and risk behaviors, compare the number of sexual behaviors and attitudes among people of different sexual orientations, and test the mediating effect of attitudes toward sexual behaviors in the relationship between sexual orientation and the number of sexual behaviors.

Methods

A total of 2288 participants completed a checklist of sexual behaviors, indicators of sexual risk behaviors, and a scale of attitudes toward sexual behaviors.

Results

Bisexual women engaged in a greater number of sexual behaviors and had more positive attitudes toward sexual behaviors than heterosexual women. Homosexual men engaged in a greater number of sexual behaviors than heterosexual men, and homosexual and bisexual men had more positive attitudes toward sexual behaviors than heterosexuals. Finally, we show the mediating role of attitudes toward sexual behaviors in the relationship between sexual orientation and the number of sexual behaviors engaged in.

Conclusions

The importance of considering sexual orientation when analyzing sexual behaviors and attitudes is highlighted.

Disparities in Human Papillomavirus vaccination coverage among adolescents in Australia: A geospatial analysis

AIM

This ecological study aimed to examine the geographic patterns in Human Papillomavirus (HPV) vaccination rates among boys and girls aged 15 years across locations in Australia, in addition to assessing contextual area-level factors that may explain the variations in HPV vaccination coverage.

METHODS

Aggregate HPV vaccination data for Australian girls and boys aged 15 years from 2015 to 16 was obtained from the Australian Institute of Health and Welfare for each Statistical Area level 4 (SA4). A Gradient Boosting Machine learning model was applied to assess the predictors' importance for the study outcomes. Geographically weighted regression (GWR) models were run to assess whether substantially different relationships between predictors and outcomes occur at different locations in space.

RESULTS

Completed HPV vaccination across the 88 SA4 regions ranged from 57.6% to 90.6% among girls, and from 53.6% to 85.5% among boys. The 2016 SEIFA Index of Economic Resources was the variable with the highest contribution to the predictions of both girls' and boys' HPV vaccination rates. Selected predictors explained 45% and 72% of the geographic variance in vaccination rates among boys and girls, respectively. Normalised coefficients for both GWR models showed a high variation in the associations between predictors and HPV vaccination rates across regions.

CONCLUSION

Socioeconomic and education factors were important predictors for HPV vaccination rates among Australian boys and girls aged 15 years, although no variable presented a uniform effect on HPV vaccination across SA4 regions. Important spatial heterogeneity in the effect of predictors was identified across the study area.