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Comparing Sexual Network Mean Active Degree Measurement Metrics Among Men Who Have Sex With Men.
Christina Chandra1, Martina Morris2, Connor Van Meter1
1From the Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA.
The current method for measuring sexual network connectivity in men who have sex with men (MSM) is more reliable than retrospective methods, especially when data is truncated. This finding is crucial for HIV/STI research accuracy.
Area of Science:
- Epidemiology
- Network Science
- Public Health
Background:
- Mean active degree is a key measure of network connectivity in HIV/STI research.
- No studies have compared mean degree measurement methods for US men who have sex with men (MSM) using cross-sectional data.
- This study compares ongoing partnership data (current method) with first/last sex dates (retrospective method).
Purpose of the Study:
- To compare two methods for measuring mean active degree in a cross-sectional study of MSM.
- To assess the impact of data truncation on mean degree estimation.
- To identify the most reliable method for network analysis in HIV/STI epidemiology.
Main Methods:
- Utilized data from the ARTnet survey of MSM in the US (2017-2019).
- Compared mean degree estimates from ongoing partnerships (current method) versus partnership dates (retrospective method).
- Employed linear regression to analyze the effect of truncated partnership data on mean degree.
Main Results:
- Retrospective method yielded similar degree estimates to the current method for recent months.
- Mean degree estimates decreased systematically with the retrospective method as the recall period extended.
- Data truncation significantly underestimated mean degree, particularly for casual partnerships.
Conclusions:
- The retrospective method underestimates mean degree in surveys with truncated data for MSM, especially for casual partnerships.
- The current method, using ongoing partnerships, is less susceptible to bias from partner data truncation.
- Findings are critical for accurate network analysis in HIV/STI research among MSM.
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