Loading…

Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria

Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV test...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2024-04, Vol.19 (4), p.e0300220-e0300220
Main Authors: Badejo, Okikiolu, Wouters, Edwin, Van Belle, Sara, Buve, Anne, Smekens, Tom, Jwanle, Plang, Laga, Marie, Nöstlinger, Christiana
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c590t-360be5595b00d5c5c99fb7f83cf341024fc66818abca657d02f7c738bbcb8d403
container_end_page e0300220
container_issue 4
container_start_page e0300220
container_title PloS one
container_volume 19
creator Badejo, Okikiolu
Wouters, Edwin
Van Belle, Sara
Buve, Anne
Smekens, Tom
Jwanle, Plang
Laga, Marie
Nöstlinger, Christiana
description Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status. Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status. Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected. Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. F
doi_str_mv 10.1371/journal.pone.0300220
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_f33107265c9b412fa17eaccc9bf09aca</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A790647301</galeid><doaj_id>oai_doaj_org_article_f33107265c9b412fa17eaccc9bf09aca</doaj_id><sourcerecordid>A790647301</sourcerecordid><originalsourceid>FETCH-LOGICAL-c590t-360be5595b00d5c5c99fb7f83cf341024fc66818abca657d02f7c738bbcb8d403</originalsourceid><addsrcrecordid>eNqNkl2L1DAUhoso7rr6D0QKgujFjEnT9ONKlkXdgcEFP_Y2nKZJJ0OmWZN03Pkx_ldPZ8ZlCl5ILpKePO-b08ObJC8pmVNW0vdrN_ge7PzO9WpOGCFZRh4l57Rm2azICHt8cj5LnoWwJoSzqiieJme4Mc7z4jz5vYSo-phKCyGkgIa7YELqdNqA90b5kEaXXi9u06hCNH2XBuW3RqoRblMUOWkgGteH9JeJK7y-H8CmjVrB1mCLe2zUhwhxQNXGoQm0zqog8eWDz84N--pgsWD69IvplDfwPHmiwQb14rhfJD8-ffx-dT1b3nxeXF0uZ5LXJM5YQRrFec0bQlouuaxr3ZS6YlKznJIs17IoKlpBI6HgZUsyXcqSVU0jm6rNCbtIFgff1sFa3HmzAb8TDozYF5zvBPhopFVCM0ZJmRX4SJPTTAMtFUiJX5rUIAG9Phy87oZmo9rxHz3Yien0pjcr0bmtoNgpr2iGDm-PDt79HHDsYmNwVtZCr9wQBCM5IyUlvEb09QHtAHszvXZoKUdcXJY1KfKSEYrU_B8UrlZtjMT8aIP1ieDdRIBMVPexgyEEsfj29f_Zm9sp--aEXSmwcRWcHfb5mYL5AZTeheCVfpgfJWKMvzjGX4zxF8f4o-zV6ewfRH_zzv4A_04Evg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3043071059</pqid></control><display><type>article</type><title>Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Badejo, Okikiolu ; Wouters, Edwin ; Van Belle, Sara ; Buve, Anne ; Smekens, Tom ; Jwanle, Plang ; Laga, Marie ; Nöstlinger, Christiana</creator><contributor>Mengist, Belayneh</contributor><creatorcontrib>Badejo, Okikiolu ; Wouters, Edwin ; Van Belle, Sara ; Buve, Anne ; Smekens, Tom ; Jwanle, Plang ; Laga, Marie ; Nöstlinger, Christiana ; Mengist, Belayneh</creatorcontrib><description>Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status. Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status. Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected. Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. Findings can improve combination healthcare packages aimed at simultaneously addressing multiple barriers and determinants of vulnerability to HIV among AYA.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0300220</identifier><identifier>PMID: 38635546</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Biology and Life Sciences ; Care and treatment ; Female ; HIV Infections - diagnosis ; HIV Infections - epidemiology ; HIV Testing ; Humans ; Latent Class Analysis ; Male ; Medicine and Health Sciences ; Nigeria - epidemiology ; People and Places ; Sexual Behavior ; Sexual Partners ; Social Sciences ; Surveys ; Teenagers ; Young Adult ; Young adults ; Youth</subject><ispartof>PloS one, 2024-04, Vol.19 (4), p.e0300220-e0300220</ispartof><rights>Copyright: © 2024 Badejo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Badejo et al 2024 Badejo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c590t-360be5595b00d5c5c99fb7f83cf341024fc66818abca657d02f7c738bbcb8d403</cites><orcidid>0000-0002-8124-7018 ; 0000-0002-3599-1719</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11025812/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11025812/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38635546$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mengist, Belayneh</contributor><creatorcontrib>Badejo, Okikiolu</creatorcontrib><creatorcontrib>Wouters, Edwin</creatorcontrib><creatorcontrib>Van Belle, Sara</creatorcontrib><creatorcontrib>Buve, Anne</creatorcontrib><creatorcontrib>Smekens, Tom</creatorcontrib><creatorcontrib>Jwanle, Plang</creatorcontrib><creatorcontrib>Laga, Marie</creatorcontrib><creatorcontrib>Nöstlinger, Christiana</creatorcontrib><title>Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status. Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status. Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected. Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. Findings can improve combination healthcare packages aimed at simultaneously addressing multiple barriers and determinants of vulnerability to HIV among AYA.</description><subject>Adolescent</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Female</subject><subject>HIV Infections - diagnosis</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Testing</subject><subject>Humans</subject><subject>Latent Class Analysis</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Nigeria - epidemiology</subject><subject>People and Places</subject><subject>Sexual Behavior</subject><subject>Sexual Partners</subject><subject>Social Sciences</subject><subject>Surveys</subject><subject>Teenagers</subject><subject>Young Adult</subject><subject>Young adults</subject><subject>Youth</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAUhoso7rr6D0QKgujFjEnT9ONKlkXdgcEFP_Y2nKZJJ0OmWZN03Pkx_ldPZ8ZlCl5ILpKePO-b08ObJC8pmVNW0vdrN_ge7PzO9WpOGCFZRh4l57Rm2azICHt8cj5LnoWwJoSzqiieJme4Mc7z4jz5vYSo-phKCyGkgIa7YELqdNqA90b5kEaXXi9u06hCNH2XBuW3RqoRblMUOWkgGteH9JeJK7y-H8CmjVrB1mCLe2zUhwhxQNXGoQm0zqog8eWDz84N--pgsWD69IvplDfwPHmiwQb14rhfJD8-ffx-dT1b3nxeXF0uZ5LXJM5YQRrFec0bQlouuaxr3ZS6YlKznJIs17IoKlpBI6HgZUsyXcqSVU0jm6rNCbtIFgff1sFa3HmzAb8TDozYF5zvBPhopFVCM0ZJmRX4SJPTTAMtFUiJX5rUIAG9Phy87oZmo9rxHz3Yien0pjcr0bmtoNgpr2iGDm-PDt79HHDsYmNwVtZCr9wQBCM5IyUlvEb09QHtAHszvXZoKUdcXJY1KfKSEYrU_B8UrlZtjMT8aIP1ieDdRIBMVPexgyEEsfj29f_Zm9sp--aEXSmwcRWcHfb5mYL5AZTeheCVfpgfJWKMvzjGX4zxF8f4o-zV6ewfRH_zzv4A_04Evg</recordid><startdate>20240418</startdate><enddate>20240418</enddate><creator>Badejo, Okikiolu</creator><creator>Wouters, Edwin</creator><creator>Van Belle, Sara</creator><creator>Buve, Anne</creator><creator>Smekens, Tom</creator><creator>Jwanle, Plang</creator><creator>Laga, Marie</creator><creator>Nöstlinger, Christiana</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8124-7018</orcidid><orcidid>https://orcid.org/0000-0002-3599-1719</orcidid></search><sort><creationdate>20240418</creationdate><title>Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria</title><author>Badejo, Okikiolu ; Wouters, Edwin ; Van Belle, Sara ; Buve, Anne ; Smekens, Tom ; Jwanle, Plang ; Laga, Marie ; Nöstlinger, Christiana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c590t-360be5595b00d5c5c99fb7f83cf341024fc66818abca657d02f7c738bbcb8d403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Female</topic><topic>HIV Infections - diagnosis</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Testing</topic><topic>Humans</topic><topic>Latent Class Analysis</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Nigeria - epidemiology</topic><topic>People and Places</topic><topic>Sexual Behavior</topic><topic>Sexual Partners</topic><topic>Social Sciences</topic><topic>Surveys</topic><topic>Teenagers</topic><topic>Young Adult</topic><topic>Young adults</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Badejo, Okikiolu</creatorcontrib><creatorcontrib>Wouters, Edwin</creatorcontrib><creatorcontrib>Van Belle, Sara</creatorcontrib><creatorcontrib>Buve, Anne</creatorcontrib><creatorcontrib>Smekens, Tom</creatorcontrib><creatorcontrib>Jwanle, Plang</creatorcontrib><creatorcontrib>Laga, Marie</creatorcontrib><creatorcontrib>Nöstlinger, Christiana</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Badejo, Okikiolu</au><au>Wouters, Edwin</au><au>Van Belle, Sara</au><au>Buve, Anne</au><au>Smekens, Tom</au><au>Jwanle, Plang</au><au>Laga, Marie</au><au>Nöstlinger, Christiana</au><au>Mengist, Belayneh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-04-18</date><risdate>2024</risdate><volume>19</volume><issue>4</issue><spage>e0300220</spage><epage>e0300220</epage><pages>e0300220-e0300220</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status. Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status. Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected. Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. Findings can improve combination healthcare packages aimed at simultaneously addressing multiple barriers and determinants of vulnerability to HIV among AYA.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38635546</pmid><doi>10.1371/journal.pone.0300220</doi><orcidid>https://orcid.org/0000-0002-8124-7018</orcidid><orcidid>https://orcid.org/0000-0002-3599-1719</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2024-04, Vol.19 (4), p.e0300220-e0300220
issn 1932-6203
1932-6203
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_f33107265c9b412fa17eaccc9bf09aca
source Publicly Available Content Database; PubMed Central
subjects Adolescent
Biology and Life Sciences
Care and treatment
Female
HIV Infections - diagnosis
HIV Infections - epidemiology
HIV Testing
Humans
Latent Class Analysis
Male
Medicine and Health Sciences
Nigeria - epidemiology
People and Places
Sexual Behavior
Sexual Partners
Social Sciences
Surveys
Teenagers
Young Adult
Young adults
Youth
title Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T17%3A25%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Latent%20class%20analysis%20of%20barriers%20to%20HIV%20testing%20services%20and%20associations%20with%20sexual%20behaviour%20and%20HIV%20status%20among%20adolescents%20and%20young%20adults%20in%20Nigeria&rft.jtitle=PloS%20one&rft.au=Badejo,%20Okikiolu&rft.date=2024-04-18&rft.volume=19&rft.issue=4&rft.spage=e0300220&rft.epage=e0300220&rft.pages=e0300220-e0300220&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0300220&rft_dat=%3Cgale_doaj_%3EA790647301%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c590t-360be5595b00d5c5c99fb7f83cf341024fc66818abca657d02f7c738bbcb8d403%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3043071059&rft_id=info:pmid/38635546&rft_galeid=A790647301&rfr_iscdi=true