Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/86345
Title: Sexual contact patterns in high-income countries : a comparative analysis using data from Germany, the United Kingdom, and the United States
Author(s): Tomori, Damilola Victoria
Horn, Johannes
Rübsamen, Nicole
Kleine Bardenhorst, Sven
Kröger, Christoph
Jaeger, Veronika K.
Karch, André
Mikolajczyk, Rafael
Issue Date: 2022
Type: Article
Language: English
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.
URI: https://opendata.uni-halle.de//handle/1981185920/88298
http://dx.doi.org/10.25673/86345
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: Publikationsfonds MLU
Journal Title: Frontiers in epidemiology
Publisher: Frontiers Media
Publisher Place: Lausanne
Volume: 2
Original Publication: 10.3389/fepid.2022.858789
Appears in Collections:Open Access Publikationen der MLU

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