Abstract
ABSTRACTBackgroundMean active degree is an important proxy measure of cross-sectional network connectivity commonly used in HIV/STI epidemiology research. No current studies have compared measurement methods of mean degree using cross-sectional surveys for men who have sex with men (MSM) in the United States.MethodsWe compared mean degree estimates based on reported ongoing main and casual sexual partnerships (current method) against dates of first and last sex (retrospective method) from 0–12 months prior to survey date in ARTnet, a cross-sectional survey of MSM in the U.S. (2017–2019). ARTnet collected data on the number of sexual partners in the past year but limited reporting on details used for calculating mean degree to the 5 most recent partners. We used linear regression to understand the impact of truncated partnership data on mean degree estimation.ResultsRetrospective method mean degree systematically decreased as the month at which it was calculated increased from 0–12 months prior to survey date. Among participants with >5 partners in the past year compared to those with ≤5, the average change in main degree between 12 and 0 months prior to survey date was −0.05 (95% CI: −0.08, −0.03) after adjusting for race/ethnicity, age, and education. The adjusted average change in casual degree was −0.40 (95% CI: −0.45, −0.35).ConclusionsThe retrospective method underestimates mean degree for MSM in surveys with truncated partnership data, especially for casual partnerships. The current method is less prone to bias from partner truncation when the target population experiences higher cumulative partners per year.SummarySurvey designs can lead to potential bias, such as underestimation, in the measurement of mean active degree in sexual networks of men who have sex with men.
Publisher
Cold Spring Harbor Laboratory