Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa
To compare HIV prevalence in antenatal clinics (ANC) and the general population, and to identify factors determining the differences that were found. Cross-sectional surveys in the general population and in ANC in three cities. HIV prevalence measured in adults in the community was compared with tha...
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| Veröffentlicht in: | AIDS (London) 2001-09, Vol.15 (13), p.1717-1725 |
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| creator | GLYNN, Judith R BUVE, Anne CARAËL, Michel MUSONDA, Rosemary M KAHINDO, Maina MACAULEY, Isaac TEMBO, Francis ZEKENG, Léopold |
| description | To compare HIV prevalence in antenatal clinics (ANC) and the general population, and to identify factors determining the differences that were found.
Cross-sectional surveys in the general population and in ANC in three cities.
HIV prevalence measured in adults in the community was compared with that measured by sentinel surveillance in ANC in Yaoundé, Cameroon, Kisumu, Kenya, and Ndola, Zambia.
In Yaoundé and Ndola, the HIV prevalence in ANC attenders was lower than that in women in the population overall, and for age groups over 20 years. In Kisumu, the HIV prevalence in ANC attenders was similar to that in women in the population at all ages. The only factors identified that influenced the results were age, marital status, parity, schooling, and contraceptive use. The HIV prevalence in women in ANC was similar to that in the combined male and female population aged 15-40 years in Yaoundé and Ndola, but overestimated it in Kisumu. In Yaoundé and Ndola, the overall HIV prevalence in men was approximated by using the age of the father of the child reported by ANC attenders, but this method overestimated the HIV prevalence in Kisumu, and did not give good age-specific estimates.
Few factors influenced the difference in HIV prevalence between ANC and the population, which could aid the development of adjustment procedures to estimate population HIV prevalence. However, the differences between cities were considerable, making standard adjustments difficult. The method of estimating male HIV prevalence should be tested in other sites. |
| doi_str_mv | 10.1097/00002030-200109070-00016 |
| format | Article |
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Cross-sectional surveys in the general population and in ANC in three cities.
HIV prevalence measured in adults in the community was compared with that measured by sentinel surveillance in ANC in Yaoundé, Cameroon, Kisumu, Kenya, and Ndola, Zambia.
In Yaoundé and Ndola, the HIV prevalence in ANC attenders was lower than that in women in the population overall, and for age groups over 20 years. In Kisumu, the HIV prevalence in ANC attenders was similar to that in women in the population at all ages. The only factors identified that influenced the results were age, marital status, parity, schooling, and contraceptive use. The HIV prevalence in women in ANC was similar to that in the combined male and female population aged 15-40 years in Yaoundé and Ndola, but overestimated it in Kisumu. In Yaoundé and Ndola, the overall HIV prevalence in men was approximated by using the age of the father of the child reported by ANC attenders, but this method overestimated the HIV prevalence in Kisumu, and did not give good age-specific estimates.
Few factors influenced the difference in HIV prevalence between ANC and the population, which could aid the development of adjustment procedures to estimate population HIV prevalence. However, the differences between cities were considerable, making standard adjustments difficult. The method of estimating male HIV prevalence should be tested in other sites.</description><identifier>ISSN: 0269-9370</identifier><identifier>EISSN: 1473-5571</identifier><identifier>DOI: 10.1097/00002030-200109070-00016</identifier><identifier>PMID: 11546948</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Adolescent ; Adult ; Africa South of the Sahara - epidemiology ; AIDS/HIV ; Bias ; Biological and medical sciences ; Female ; HIV Infections - epidemiology ; Human immunodeficiency virus ; Human viral diseases ; Humans ; Infectious diseases ; Male ; Medical sciences ; Middle Aged ; Pregnancy ; Pregnancy Complications, Infectious - epidemiology ; Pregnancy Complications, Infectious - virology ; Prenatal Care ; Prevalence ; Sentinel Surveillance ; Tropical medicine ; Viral diseases ; Viral diseases of the lymphoid tissue and the blood. Aids</subject><ispartof>AIDS (London), 2001-09, Vol.15 (13), p.1717-1725</ispartof><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-75eb937184b2bae1074429490ab6bb1b0db78ab6091a9a55c36267193d10b2fb3</citedby><cites>FETCH-LOGICAL-c422t-75eb937184b2bae1074429490ab6bb1b0db78ab6091a9a55c36267193d10b2fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14092736$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11546948$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>GLYNN, Judith R</creatorcontrib><creatorcontrib>BUVE, Anne</creatorcontrib><creatorcontrib>CARAËL, Michel</creatorcontrib><creatorcontrib>MUSONDA, Rosemary M</creatorcontrib><creatorcontrib>KAHINDO, Maina</creatorcontrib><creatorcontrib>MACAULEY, Isaac</creatorcontrib><creatorcontrib>TEMBO, Francis</creatorcontrib><creatorcontrib>ZEKENG, Léopold</creatorcontrib><creatorcontrib>Study Group on Heterogeneity of HIV Epidemics in African Cities</creatorcontrib><title>Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa</title><title>AIDS (London)</title><addtitle>AIDS</addtitle><description>To compare HIV prevalence in antenatal clinics (ANC) and the general population, and to identify factors determining the differences that were found.
Cross-sectional surveys in the general population and in ANC in three cities.
HIV prevalence measured in adults in the community was compared with that measured by sentinel surveillance in ANC in Yaoundé, Cameroon, Kisumu, Kenya, and Ndola, Zambia.
In Yaoundé and Ndola, the HIV prevalence in ANC attenders was lower than that in women in the population overall, and for age groups over 20 years. In Kisumu, the HIV prevalence in ANC attenders was similar to that in women in the population at all ages. The only factors identified that influenced the results were age, marital status, parity, schooling, and contraceptive use. The HIV prevalence in women in ANC was similar to that in the combined male and female population aged 15-40 years in Yaoundé and Ndola, but overestimated it in Kisumu. In Yaoundé and Ndola, the overall HIV prevalence in men was approximated by using the age of the father of the child reported by ANC attenders, but this method overestimated the HIV prevalence in Kisumu, and did not give good age-specific estimates.
Few factors influenced the difference in HIV prevalence between ANC and the population, which could aid the development of adjustment procedures to estimate population HIV prevalence. However, the differences between cities were considerable, making standard adjustments difficult. The method of estimating male HIV prevalence should be tested in other sites.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Africa South of the Sahara - epidemiology</subject><subject>AIDS/HIV</subject><subject>Bias</subject><subject>Biological and medical sciences</subject><subject>Female</subject><subject>HIV Infections - epidemiology</subject><subject>Human immunodeficiency virus</subject><subject>Human viral diseases</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Pregnancy</subject><subject>Pregnancy Complications, Infectious - epidemiology</subject><subject>Pregnancy Complications, Infectious - virology</subject><subject>Prenatal Care</subject><subject>Prevalence</subject><subject>Sentinel Surveillance</subject><subject>Tropical medicine</subject><subject>Viral diseases</subject><subject>Viral diseases of the lymphoid tissue and the blood. Aids</subject><issn>0269-9370</issn><issn>1473-5571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1O3TAQRq2KqtzSvkLlDezSjh0njpcIQUFC6qI_22jsTMDI1wl2Amqfvr5wC8t6Y-v4eEaejzEu4LMAo79AWRJqqCRAAaChKkS0b9hGKF1XTaPFAduAbE1lag2H7H3Od0VpoOvesUMhGtUa1W3Ynwt0y5Qy93EMK0Xn4w1fbokPfhwpFUDlil9e_eJzogcMT8TS8kgUOcaFIi4YuAs-elfAwG8oUiponuY14OKnuKuQV1t9x1tMGPnpmLzDD-ztiCHTx_1-xH5enP84u6yuv329Oju9rpyScql0Q7b8QXTKSoskQCsljTKAtrVWWBis7soZjECDTePqVrZamHoQYOVo6yN28lx3TtP9Snnptz47CgEjTWvu9W4apcF_RdEJo0F0ReyeRZemnBON_Zz8FtPvXkC_C6j_F1D_ElD_FFB5-mnfY7VbGl4f7hMpwvFewOwwjGVezudXT4GRum7rv3lKmLk</recordid><startdate>20010907</startdate><enddate>20010907</enddate><creator>GLYNN, Judith R</creator><creator>BUVE, Anne</creator><creator>CARAËL, Michel</creator><creator>MUSONDA, Rosemary M</creator><creator>KAHINDO, Maina</creator><creator>MACAULEY, Isaac</creator><creator>TEMBO, Francis</creator><creator>ZEKENG, Léopold</creator><general>Lippincott Williams & Wilkins</general><scope>IQODW</scope><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>7U9</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20010907</creationdate><title>Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa</title><author>GLYNN, Judith R ; BUVE, Anne ; CARAËL, Michel ; MUSONDA, Rosemary M ; KAHINDO, Maina ; MACAULEY, Isaac ; TEMBO, Francis ; ZEKENG, Léopold</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-75eb937184b2bae1074429490ab6bb1b0db78ab6091a9a55c36267193d10b2fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Africa South of the Sahara - epidemiology</topic><topic>AIDS/HIV</topic><topic>Bias</topic><topic>Biological and medical sciences</topic><topic>Female</topic><topic>HIV Infections - epidemiology</topic><topic>Human immunodeficiency virus</topic><topic>Human viral diseases</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Pregnancy</topic><topic>Pregnancy Complications, Infectious - epidemiology</topic><topic>Pregnancy Complications, Infectious - virology</topic><topic>Prenatal Care</topic><topic>Prevalence</topic><topic>Sentinel Surveillance</topic><topic>Tropical medicine</topic><topic>Viral diseases</topic><topic>Viral diseases of the lymphoid tissue and the blood. Aids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>GLYNN, Judith R</creatorcontrib><creatorcontrib>BUVE, Anne</creatorcontrib><creatorcontrib>CARAËL, Michel</creatorcontrib><creatorcontrib>MUSONDA, Rosemary M</creatorcontrib><creatorcontrib>KAHINDO, Maina</creatorcontrib><creatorcontrib>MACAULEY, Isaac</creatorcontrib><creatorcontrib>TEMBO, Francis</creatorcontrib><creatorcontrib>ZEKENG, Léopold</creatorcontrib><creatorcontrib>Study Group on Heterogeneity of HIV Epidemics in African Cities</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>AIDS (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>GLYNN, Judith R</au><au>BUVE, Anne</au><au>CARAËL, Michel</au><au>MUSONDA, Rosemary M</au><au>KAHINDO, Maina</au><au>MACAULEY, Isaac</au><au>TEMBO, Francis</au><au>ZEKENG, Léopold</au><aucorp>Study Group on Heterogeneity of HIV Epidemics in African Cities</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa</atitle><jtitle>AIDS (London)</jtitle><addtitle>AIDS</addtitle><date>2001-09-07</date><risdate>2001</risdate><volume>15</volume><issue>13</issue><spage>1717</spage><epage>1725</epage><pages>1717-1725</pages><issn>0269-9370</issn><eissn>1473-5571</eissn><abstract>To compare HIV prevalence in antenatal clinics (ANC) and the general population, and to identify factors determining the differences that were found.
Cross-sectional surveys in the general population and in ANC in three cities.
HIV prevalence measured in adults in the community was compared with that measured by sentinel surveillance in ANC in Yaoundé, Cameroon, Kisumu, Kenya, and Ndola, Zambia.
In Yaoundé and Ndola, the HIV prevalence in ANC attenders was lower than that in women in the population overall, and for age groups over 20 years. In Kisumu, the HIV prevalence in ANC attenders was similar to that in women in the population at all ages. The only factors identified that influenced the results were age, marital status, parity, schooling, and contraceptive use. The HIV prevalence in women in ANC was similar to that in the combined male and female population aged 15-40 years in Yaoundé and Ndola, but overestimated it in Kisumu. In Yaoundé and Ndola, the overall HIV prevalence in men was approximated by using the age of the father of the child reported by ANC attenders, but this method overestimated the HIV prevalence in Kisumu, and did not give good age-specific estimates.
Few factors influenced the difference in HIV prevalence between ANC and the population, which could aid the development of adjustment procedures to estimate population HIV prevalence. However, the differences between cities were considerable, making standard adjustments difficult. The method of estimating male HIV prevalence should be tested in other sites.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>11546948</pmid><doi>10.1097/00002030-200109070-00016</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | AIDS (London), 2001-09, Vol.15 (13), p.1717-1725 |
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| source | MEDLINE; EZB Electronic Journals Library; Journals@Ovid Complete |
| subjects | Adolescent Adult Africa South of the Sahara - epidemiology AIDS/HIV Bias Biological and medical sciences Female HIV Infections - epidemiology Human immunodeficiency virus Human viral diseases Humans Infectious diseases Male Medical sciences Middle Aged Pregnancy Pregnancy Complications, Infectious - epidemiology Pregnancy Complications, Infectious - virology Prenatal Care Prevalence Sentinel Surveillance Tropical medicine Viral diseases Viral diseases of the lymphoid tissue and the blood. Aids |
| title | Factors influencing the difference in HIV prevalence between antenatal clinic and general population in sub-Saharan Africa |
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