Correlates of Chlamydia trachomatis infection in a primary care sentinel surveillance network

Megan Su Cheng Lim, Jane L Goller, Rebecca J Guy, Judy Gold, Mark Stoove, Jane Hocking, Christopher Kit Fairley, Dot J Henning, Kathleen Margaret McNamee, Louise Sarah Owen, Penelope Sheehan, Margaret Elena Hellard

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

Background: Chlamydia is the most commonly notified infection in Australia. Prevention strategies should be informed by routine data on at-risk populations. Methods: We calculated chlamydia positivity and correlates of infection using multivariable logistic regression for data collected between April 2006 and June 2009. Results: Chlamydia positivity was 5.6 in 12 233 females, 7.7 in 10 316 heterosexual males and 6.2 in 7872 men who have sex with men (MSM). Correlates of chlamydia positivity among females included younger age (odds ratio (OR) 2.27, 95 confidence interval (CI) 1.92?2.69), being born overseas (OR 1.50, 95 CI 1.25?1.82), multiple sex partners in the past year (OR 1.72, 95 CI 1.40?2.11) and inconsistent condom use with regular sex partners (OR 3.44 ,95 CI 1.65?7.20). Sex work was protective for females (OR 0.68, 95 CI 0.53?0.86). Among heterosexual males, correlates of positivity were younger age (OR 1.87, 95 CI 1.62?2.17), being born overseas (OR 1.35, 95 CI 1.16?1.58), symptoms at the time of testing (OR 1.64, 95 CI 1.40?1.92) and multiple sex partners in the past year (OR 1.83, 95 CI 1.46?2.30). Correlates of positivity among MSM were being born overseas (OR 1.23, 95 CI 1.00?1.51), being HIV-positive (OR 1.80, 95 CI 1.32?2.47), and reporting six or more anal sex partners in the past 6 months (OR 4.45, 95 CI 1.37?14.5). Conclusions: Our analysis identified subgroups at the highest risk of chlamydia in Victoria. These estimates will provide important baseline information to measure the impact of chlamydia control strategies.
Original languageEnglish
Pages (from-to)247 - 253
Number of pages7
JournalSexual Health
Volume9
Issue number3
DOIs
Publication statusPublished - 2012

Cite this

@article{96be4e18f1c545288b09f19c66ecbb46,
title = "Correlates of Chlamydia trachomatis infection in a primary care sentinel surveillance network",
abstract = "Background: Chlamydia is the most commonly notified infection in Australia. Prevention strategies should be informed by routine data on at-risk populations. Methods: We calculated chlamydia positivity and correlates of infection using multivariable logistic regression for data collected between April 2006 and June 2009. Results: Chlamydia positivity was 5.6 in 12 233 females, 7.7 in 10 316 heterosexual males and 6.2 in 7872 men who have sex with men (MSM). Correlates of chlamydia positivity among females included younger age (odds ratio (OR) 2.27, 95 confidence interval (CI) 1.92?2.69), being born overseas (OR 1.50, 95 CI 1.25?1.82), multiple sex partners in the past year (OR 1.72, 95 CI 1.40?2.11) and inconsistent condom use with regular sex partners (OR 3.44 ,95 CI 1.65?7.20). Sex work was protective for females (OR 0.68, 95 CI 0.53?0.86). Among heterosexual males, correlates of positivity were younger age (OR 1.87, 95 CI 1.62?2.17), being born overseas (OR 1.35, 95 CI 1.16?1.58), symptoms at the time of testing (OR 1.64, 95 CI 1.40?1.92) and multiple sex partners in the past year (OR 1.83, 95 CI 1.46?2.30). Correlates of positivity among MSM were being born overseas (OR 1.23, 95 CI 1.00?1.51), being HIV-positive (OR 1.80, 95 CI 1.32?2.47), and reporting six or more anal sex partners in the past 6 months (OR 4.45, 95 CI 1.37?14.5). Conclusions: Our analysis identified subgroups at the highest risk of chlamydia in Victoria. These estimates will provide important baseline information to measure the impact of chlamydia control strategies.",
author = "Lim, {Megan Su Cheng} and Goller, {Jane L} and Guy, {Rebecca J} and Judy Gold and Mark Stoove and Jane Hocking and Fairley, {Christopher Kit} and Henning, {Dot J} and McNamee, {Kathleen Margaret} and Owen, {Louise Sarah} and Penelope Sheehan and Hellard, {Margaret Elena}",
year = "2012",
doi = "10.1071/SH11019",
language = "English",
volume = "9",
pages = "247 -- 253",
journal = "Sexual Health",
issn = "1448-5028",
publisher = "CSIRO",
number = "3",

}

Correlates of Chlamydia trachomatis infection in a primary care sentinel surveillance network. / Lim, Megan Su Cheng; Goller, Jane L; Guy, Rebecca J; Gold, Judy; Stoove, Mark; Hocking, Jane; Fairley, Christopher Kit; Henning, Dot J; McNamee, Kathleen Margaret; Owen, Louise Sarah; Sheehan, Penelope; Hellard, Margaret Elena.

In: Sexual Health, Vol. 9, No. 3, 2012, p. 247 - 253.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Correlates of Chlamydia trachomatis infection in a primary care sentinel surveillance network

AU - Lim, Megan Su Cheng

AU - Goller, Jane L

AU - Guy, Rebecca J

AU - Gold, Judy

AU - Stoove, Mark

AU - Hocking, Jane

AU - Fairley, Christopher Kit

AU - Henning, Dot J

AU - McNamee, Kathleen Margaret

AU - Owen, Louise Sarah

AU - Sheehan, Penelope

AU - Hellard, Margaret Elena

PY - 2012

Y1 - 2012

N2 - Background: Chlamydia is the most commonly notified infection in Australia. Prevention strategies should be informed by routine data on at-risk populations. Methods: We calculated chlamydia positivity and correlates of infection using multivariable logistic regression for data collected between April 2006 and June 2009. Results: Chlamydia positivity was 5.6 in 12 233 females, 7.7 in 10 316 heterosexual males and 6.2 in 7872 men who have sex with men (MSM). Correlates of chlamydia positivity among females included younger age (odds ratio (OR) 2.27, 95 confidence interval (CI) 1.92?2.69), being born overseas (OR 1.50, 95 CI 1.25?1.82), multiple sex partners in the past year (OR 1.72, 95 CI 1.40?2.11) and inconsistent condom use with regular sex partners (OR 3.44 ,95 CI 1.65?7.20). Sex work was protective for females (OR 0.68, 95 CI 0.53?0.86). Among heterosexual males, correlates of positivity were younger age (OR 1.87, 95 CI 1.62?2.17), being born overseas (OR 1.35, 95 CI 1.16?1.58), symptoms at the time of testing (OR 1.64, 95 CI 1.40?1.92) and multiple sex partners in the past year (OR 1.83, 95 CI 1.46?2.30). Correlates of positivity among MSM were being born overseas (OR 1.23, 95 CI 1.00?1.51), being HIV-positive (OR 1.80, 95 CI 1.32?2.47), and reporting six or more anal sex partners in the past 6 months (OR 4.45, 95 CI 1.37?14.5). Conclusions: Our analysis identified subgroups at the highest risk of chlamydia in Victoria. These estimates will provide important baseline information to measure the impact of chlamydia control strategies.

AB - Background: Chlamydia is the most commonly notified infection in Australia. Prevention strategies should be informed by routine data on at-risk populations. Methods: We calculated chlamydia positivity and correlates of infection using multivariable logistic regression for data collected between April 2006 and June 2009. Results: Chlamydia positivity was 5.6 in 12 233 females, 7.7 in 10 316 heterosexual males and 6.2 in 7872 men who have sex with men (MSM). Correlates of chlamydia positivity among females included younger age (odds ratio (OR) 2.27, 95 confidence interval (CI) 1.92?2.69), being born overseas (OR 1.50, 95 CI 1.25?1.82), multiple sex partners in the past year (OR 1.72, 95 CI 1.40?2.11) and inconsistent condom use with regular sex partners (OR 3.44 ,95 CI 1.65?7.20). Sex work was protective for females (OR 0.68, 95 CI 0.53?0.86). Among heterosexual males, correlates of positivity were younger age (OR 1.87, 95 CI 1.62?2.17), being born overseas (OR 1.35, 95 CI 1.16?1.58), symptoms at the time of testing (OR 1.64, 95 CI 1.40?1.92) and multiple sex partners in the past year (OR 1.83, 95 CI 1.46?2.30). Correlates of positivity among MSM were being born overseas (OR 1.23, 95 CI 1.00?1.51), being HIV-positive (OR 1.80, 95 CI 1.32?2.47), and reporting six or more anal sex partners in the past 6 months (OR 4.45, 95 CI 1.37?14.5). Conclusions: Our analysis identified subgroups at the highest risk of chlamydia in Victoria. These estimates will provide important baseline information to measure the impact of chlamydia control strategies.

UR - http://www.publish.csiro.au.ezproxy.lib.monash.edu.au/?act=view_file&file_id=SH11019.pdf

U2 - 10.1071/SH11019

DO - 10.1071/SH11019

M3 - Article

VL - 9

SP - 247

EP - 253

JO - Sexual Health

JF - Sexual Health

SN - 1448-5028

IS - 3

ER -