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Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates

BACKGROUND: CDC has not previously calculated disease rates for men who have sex with men (MSM) because there is no single comprehensive source of data on population size. To inform prevention planning, CDC developed a national population size estimate for MSM to calculate disease metrics for HIV an...

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Autores principales: Purcell, David W, Johnson, Christopher H, Lansky, Amy, Prejean, Joseph, Stein, Renee, Denning, Paul, Gau1, Zaneta, Weinstock, Hillard, Su, John, Crepaz, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462414/
https://www.ncbi.nlm.nih.gov/pubmed/23049658
http://dx.doi.org/10.2174/1874613601206010098
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author Purcell, David W
Johnson, Christopher H
Lansky, Amy
Prejean, Joseph
Stein, Renee
Denning, Paul
Gau1, Zaneta
Weinstock, Hillard
Su, John
Crepaz, Nicole
author_facet Purcell, David W
Johnson, Christopher H
Lansky, Amy
Prejean, Joseph
Stein, Renee
Denning, Paul
Gau1, Zaneta
Weinstock, Hillard
Su, John
Crepaz, Nicole
author_sort Purcell, David W
collection PubMed
description BACKGROUND: CDC has not previously calculated disease rates for men who have sex with men (MSM) because there is no single comprehensive source of data on population size. To inform prevention planning, CDC developed a national population size estimate for MSM to calculate disease metrics for HIV and syphilis. METHODS: We conducted a systematic literature search and identified seven surveys that provided data on same-sex behavior in nationally representative samples. Data were pooled by three recall periods and combined using meta-analytic procedures. We applied the proportion of men reporting same-sex behavior in the past 5 years to U.S. census data to produce a population size estimate. We then calculated three disease metrics using CDC HIV and STD surveillance data and rate ratios comparing MSM to other men and to women. RESULTS: Estimates of the proportion of men who engaged in same-sex behavior differed by recall period: past year = 2.9% (95%CI, 2.6–3.2); past five years = 3.9% (3.5–4.4); ever = 6.9% (5.1–8.6). Rates on all 3 disease metrics were much higher among MSM than among either other men or women (38 to 109 times as high). CONCLUSIONS: Estimating the population size for MSM allowed us to calculate rates for disease metrics and to develop rate ratios showing dramatically higher rates among MSM than among other men or women. These data greatly improve our understanding of the disproportionate impact of these diseases among MSM in the U.S. and help with prevention planning.
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spelling pubmed-34624142012-10-04 Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates Purcell, David W Johnson, Christopher H Lansky, Amy Prejean, Joseph Stein, Renee Denning, Paul Gau1, Zaneta Weinstock, Hillard Su, John Crepaz, Nicole Open AIDS J Article BACKGROUND: CDC has not previously calculated disease rates for men who have sex with men (MSM) because there is no single comprehensive source of data on population size. To inform prevention planning, CDC developed a national population size estimate for MSM to calculate disease metrics for HIV and syphilis. METHODS: We conducted a systematic literature search and identified seven surveys that provided data on same-sex behavior in nationally representative samples. Data were pooled by three recall periods and combined using meta-analytic procedures. We applied the proportion of men reporting same-sex behavior in the past 5 years to U.S. census data to produce a population size estimate. We then calculated three disease metrics using CDC HIV and STD surveillance data and rate ratios comparing MSM to other men and to women. RESULTS: Estimates of the proportion of men who engaged in same-sex behavior differed by recall period: past year = 2.9% (95%CI, 2.6–3.2); past five years = 3.9% (3.5–4.4); ever = 6.9% (5.1–8.6). Rates on all 3 disease metrics were much higher among MSM than among either other men or women (38 to 109 times as high). CONCLUSIONS: Estimating the population size for MSM allowed us to calculate rates for disease metrics and to develop rate ratios showing dramatically higher rates among MSM than among other men or women. These data greatly improve our understanding of the disproportionate impact of these diseases among MSM in the U.S. and help with prevention planning. Bentham Open 2012-09-07 /pmc/articles/PMC3462414/ /pubmed/23049658 http://dx.doi.org/10.2174/1874613601206010098 Text en © Purcell et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Purcell, David W
Johnson, Christopher H
Lansky, Amy
Prejean, Joseph
Stein, Renee
Denning, Paul
Gau1, Zaneta
Weinstock, Hillard
Su, John
Crepaz, Nicole
Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title_full Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title_fullStr Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title_full_unstemmed Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title_short Estimating the Population Size of Men Who Have Sex with Men in the United States to Obtain HIV and Syphilis Rates
title_sort estimating the population size of men who have sex with men in the united states to obtain hiv and syphilis rates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462414/
https://www.ncbi.nlm.nih.gov/pubmed/23049658
http://dx.doi.org/10.2174/1874613601206010098
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