AI Article Synopsis

  • The study evaluates how sexual contact patterns influence the spread of sexually transmitted infections in high-income countries, focusing on Germany, the UK, and the US.
  • Significant differences were found in the number of opposite-sex partners reported, with UK and US participants having more partners, especially among younger individuals under 24.
  • The findings suggest that these variations in sexual behavior affect the transmission dynamics of STIs and are crucial for accurate mathematical modeling of infection spread.

Article Abstract

Sexual contact patterns determine the spread of sexually transmitted infections and are a central input parameter for mathematical models in this field. We evaluated the importance of country-specific sexual contact pattern parametrization for high-income countries with similar cultural backgrounds by comparing data from two independent studies (HaBIDS and SBG) in Germany, a country without systematic sexual contact pattern data, with data from the National Survey of Sexual Attitudes and Lifestyles (Natsal) in the UK, and the National Survey of Family Growth (NSFG) in the US, the two longest running sexual contact studies in high-income countries. We investigated differences in the distribution of the reported number of opposite-sex partners, same-sex partners and both-sex partners using weighted negative binomial regression adjusted for age and sex (as well as stratified by age). In our analyses, UK and US participants reported a substantially higher number of lifetime opposite-sex sexual partners compared to both German studies. The difference in lifetime partners was caused by a higher proportion of individuals with many partners in the young age group (<24 years) in the UK and the US. Partner acquisition in older age groups was similar. The number of same-sex partners was similar across countries, while there was heterogeneity in the reported experience with partners from both sexes, consistent with the differences observed for opposite-sex sexual partners. These patterns can lead to substantially different dynamics of sexually transmitted infections across ages, and have strong impact on the results of modeling studies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10911028PMC
http://dx.doi.org/10.3389/fepid.2022.858789DOI Listing

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