Comparing Sexual Network Mean Active Degree Measurement Metrics Among Men Who Have Sex With Men.


Journal

Sexually transmitted diseases
ISSN: 1537-4521
Titre abrégé: Sex Transm Dis
Pays: United States
ID NLM: 7705941

Informations de publication

Date de publication:
01 12 2022
Historique:
pubmed: 17 9 2022
medline: 16 11 2022
entrez: 16 9 2022
Statut: ppublish

Résumé

Mean active degree is an important proxy measure of cross-sectional network connectivity commonly used in HIV/sexually transmitted infection epidemiology research. No current studies have compared measurement methods of mean degree using a cross-sectional study design for men who have sex with men (MSM) in the United States. We compared mean degree estimates based on reported ongoing main and casual sexual partnerships (current method) against dates of first and last sex (retrospective method). We used data from ARTnet, a cross-sectional survey of MSM in the United States (2017-2019). ARTnet collected data on the number and types of sexual partners in the past year, limited to the 5 most recent partners (data truncation). We quantified partnerships for months 0 to 12 before the survey date (retrospective method) and compared that with ongoing partnerships on the day of survey (current method). We used linear regression to understand the impact of truncated partnership data on mean degree estimation. The retrospective method yielded similar degree estimates to the current for months proximate to the day of survey. The retrospective method mean degree systematically decreased as the month increased from 0 to 12 months before survey date. This was driven by data truncation: among participants with >5 partners in the past year compared with those with ≤5, the average change in main partnership degree between 12 and 0 months before survey date was -0.05 (95% confidence interval, -0.08 to -0.03) after adjusting for race/ethnicity, age, and education. The adjusted average change in casual partnership degree was -0.40 (95% confidence interval, -0.45 to -0.35). The 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 has high rate of partners per year.

Sections du résumé

BACKGROUND
Mean active degree is an important proxy measure of cross-sectional network connectivity commonly used in HIV/sexually transmitted infection epidemiology research. No current studies have compared measurement methods of mean degree using a cross-sectional study design for men who have sex with men (MSM) in the United States. We compared mean degree estimates based on reported ongoing main and casual sexual partnerships (current method) against dates of first and last sex (retrospective method).
METHODS
We used data from ARTnet, a cross-sectional survey of MSM in the United States (2017-2019). ARTnet collected data on the number and types of sexual partners in the past year, limited to the 5 most recent partners (data truncation). We quantified partnerships for months 0 to 12 before the survey date (retrospective method) and compared that with ongoing partnerships on the day of survey (current method). We used linear regression to understand the impact of truncated partnership data on mean degree estimation.
RESULTS
The retrospective method yielded similar degree estimates to the current for months proximate to the day of survey. The retrospective method mean degree systematically decreased as the month increased from 0 to 12 months before survey date. This was driven by data truncation: among participants with >5 partners in the past year compared with those with ≤5, the average change in main partnership degree between 12 and 0 months before survey date was -0.05 (95% confidence interval, -0.08 to -0.03) after adjusting for race/ethnicity, age, and education. The adjusted average change in casual partnership degree was -0.40 (95% confidence interval, -0.45 to -0.35).
CONCLUSIONS
The 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 has high rate of partners per year.

Identifiants

pubmed: 36112005
doi: 10.1097/OLQ.0000000000001708
pii: 00007435-202212000-00002
pmc: PMC9669154
mid: NIHMS1835706
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

808-814

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD042828
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI138783
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH112449
Pays : United States

Informations de copyright

Copyright © 2022 American Sexually Transmitted Diseases Association. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest and Sources of Funding: The authors declare no conflicts of interest.

Références

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Auteurs

Christina Chandra (C)

From the Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA.

Martina Morris (M)

Departments of Sociology.

Connor Van Meter (C)

From the Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA.

Steven M Goodreau (SM)

Anthropology, University of Washington, Seattle, WA.

Travis Sanchez (T)

From the Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA.

Patrick Janulis (P)

Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL.

Michelle Birkett (M)

Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL.

Samuel M Jenness (SM)

From the Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA.

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