Age at first sex: understanding recent trends in African demographic surveys
Identifieur interne : 000F69 ( Main/Exploration ); précédent : 000F68; suivant : 000F70Age at first sex: understanding recent trends in African demographic surveys
Auteurs : B. Zaba ; E. Pisani [Indonésie] ; E. Slaymaker ; J Ties BoermaSource :
- Sexually Transmitted Infections [ 1368-4973 ] ; 2004-12.
Descripteurs français
- Wicri :
English descriptors
- KwdEn :
- Active women, African countries, Antenatal clinics, Birth cohort, Birth cohorts, Bold type, Bottom panel, Calverton, Central bureau, Cohort, Current status, Current status data, DHS, Demographic and Health Surveys, Early marriage, First intercourse, First marriage, Ghana, Ghana kenya tanzania uganda zambia zimbabwe, Health survey, Health surveys, Higher proportion, Intercohort differences, Interquartile range, Kenya, Kenyan females, Large differences, Last survey, Life table method, Life tables, Macro, Male cohorts, Median, Middle panel, Multistate life table, National council, Older cohort, Other countries, Person years, Plan perspect, Population studies, Pregnant women, Premarital, Previous analyses, Rank test, Rapid transition, Resource development, Secondary education, Sectional surveys, Sexual activity, Sexual behavior, Sexual behaviour, Sexual debut, Sexual initiation, Significant increases, Statistics department, Successive surveys, Such changes, Survey changes, Survival analysis, Survival curves, Tanzania, Tanzanian males, Third women, Uganda, Urban areas, Wide range, Wilcoxon rank test, Year cohorts, Year olds, Young people, Younger cohort, Zaba, Zambia, Zimbabwe, Zimbabwe report, premarital sex, reporting bias, sexual debut, survival analysis.
- Teeft :
- Active women, African countries, Antenatal clinics, Birth cohort, Birth cohorts, Bold type, Bottom panel, Calverton, Central bureau, Cohort, Current status, Current status data, Early marriage, First intercourse, First marriage, Ghana, Ghana kenya tanzania uganda zambia zimbabwe, Health survey, Health surveys, Higher proportion, Intercohort differences, Interquartile range, Kenya, Kenyan females, Large differences, Last survey, Life table method, Life tables, Macro, Male cohorts, Median, Middle panel, Multistate life table, National council, Older cohort, Other countries, Person years, Plan perspect, Population studies, Pregnant women, Premarital, Previous analyses, Rank test, Rapid transition, Resource development, Secondary education, Sectional surveys, Sexual activity, Sexual behavior, Sexual behaviour, Sexual debut, Sexual initiation, Significant increases, Statistics department, Successive surveys, Such changes, Survey changes, Survival analysis, Survival curves, Tanzania, Tanzanian males, Third women, Uganda, Urban areas, Wide range, Wilcoxon rank test, Year cohorts, Year olds, Young people, Younger cohort, Zaba, Zambia, Zimbabwe, Zimbabwe report.
Abstract
Objectives: To describe recent trends in age at first sex in African countries, identifying and making due allowances for a variety of common reporting errors. Methods: Demographic and Health Surveys (DHS) data from six African countries conducting three or more surveys since 1985 were analysed using survival analysis techniques, combining information on virginity status and retrospective reporting of age at first sex. Hazard analysis was used to separate the effects of reporting error and compositional change and to estimate true changes in sexual debut over time. A multistate life table analysis incorporating transition to first marriage allowed cohorts to be classified according to person years spent as virgins, as sexually active unmarried, and married. Results: Intersurvey comparisons generally suggested a slow secular rise in age at first sex. However, tracing birth cohorts between surveys revealed inconsistencies—median ages reported by female members of a birth cohort in their teens were generally higher than those reported when they reached their twenties, even when allowing for residence and education changes—probably a result of young, sexually active women denying they had ever had sex. Male birth cohorts tend to display the opposite kind of bias. Conclusions: Uganda, Kenya, and Ghana have experienced a more pronounced and unambiguous decline in premarital sexual activity than Tanzania, Zambia, and Zimbabwe, with statistically significant increases in age at first sex. In addition, Uganda has maintained a very short interval between onset of sexual activity and marriage for both sexes.
Url:
- https://api.istex.fr/document/070D82DC5C765D40532C717422E5CE2C75EA0F45/fulltext/pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1765851
DOI: 10.1136/sti.2004.012674
Affiliations:
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Le document en format XML
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<term>Birth cohort</term>
<term>Birth cohorts</term>
<term>Bold type</term>
<term>Bottom panel</term>
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<term>Intercohort differences</term>
<term>Interquartile range</term>
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<term>Kenyan females</term>
<term>Large differences</term>
<term>Last survey</term>
<term>Life table method</term>
<term>Life tables</term>
<term>Macro</term>
<term>Male cohorts</term>
<term>Median</term>
<term>Middle panel</term>
<term>Multistate life table</term>
<term>National council</term>
<term>Older cohort</term>
<term>Other countries</term>
<term>Person years</term>
<term>Plan perspect</term>
<term>Population studies</term>
<term>Pregnant women</term>
<term>Premarital</term>
<term>Previous analyses</term>
<term>Rank test</term>
<term>Rapid transition</term>
<term>Resource development</term>
<term>Secondary education</term>
<term>Sectional surveys</term>
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<term>Sexual behavior</term>
<term>Sexual behaviour</term>
<term>Sexual debut</term>
<term>Sexual initiation</term>
<term>Significant increases</term>
<term>Statistics department</term>
<term>Successive surveys</term>
<term>Such changes</term>
<term>Survey changes</term>
<term>Survival analysis</term>
<term>Survival curves</term>
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<term>Tanzanian males</term>
<term>Third women</term>
<term>Uganda</term>
<term>Urban areas</term>
<term>Wide range</term>
<term>Wilcoxon rank test</term>
<term>Year cohorts</term>
<term>Year olds</term>
<term>Young people</term>
<term>Younger cohort</term>
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<term>reporting bias</term>
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<term>Birth cohort</term>
<term>Birth cohorts</term>
<term>Bold type</term>
<term>Bottom panel</term>
<term>Calverton</term>
<term>Central bureau</term>
<term>Cohort</term>
<term>Current status</term>
<term>Current status data</term>
<term>Early marriage</term>
<term>First intercourse</term>
<term>First marriage</term>
<term>Ghana</term>
<term>Ghana kenya tanzania uganda zambia zimbabwe</term>
<term>Health survey</term>
<term>Health surveys</term>
<term>Higher proportion</term>
<term>Intercohort differences</term>
<term>Interquartile range</term>
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<term>Kenyan females</term>
<term>Large differences</term>
<term>Last survey</term>
<term>Life table method</term>
<term>Life tables</term>
<term>Macro</term>
<term>Male cohorts</term>
<term>Median</term>
<term>Middle panel</term>
<term>Multistate life table</term>
<term>National council</term>
<term>Older cohort</term>
<term>Other countries</term>
<term>Person years</term>
<term>Plan perspect</term>
<term>Population studies</term>
<term>Pregnant women</term>
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<term>Previous analyses</term>
<term>Rank test</term>
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<term>Sectional surveys</term>
<term>Sexual activity</term>
<term>Sexual behavior</term>
<term>Sexual behaviour</term>
<term>Sexual debut</term>
<term>Sexual initiation</term>
<term>Significant increases</term>
<term>Statistics department</term>
<term>Successive surveys</term>
<term>Such changes</term>
<term>Survey changes</term>
<term>Survival analysis</term>
<term>Survival curves</term>
<term>Tanzania</term>
<term>Tanzanian males</term>
<term>Third women</term>
<term>Uganda</term>
<term>Urban areas</term>
<term>Wide range</term>
<term>Wilcoxon rank test</term>
<term>Year cohorts</term>
<term>Year olds</term>
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<front><div type="abstract" xml:lang="en">Objectives: To describe recent trends in age at first sex in African countries, identifying and making due allowances for a variety of common reporting errors. Methods: Demographic and Health Surveys (DHS) data from six African countries conducting three or more surveys since 1985 were analysed using survival analysis techniques, combining information on virginity status and retrospective reporting of age at first sex. Hazard analysis was used to separate the effects of reporting error and compositional change and to estimate true changes in sexual debut over time. A multistate life table analysis incorporating transition to first marriage allowed cohorts to be classified according to person years spent as virgins, as sexually active unmarried, and married. Results: Intersurvey comparisons generally suggested a slow secular rise in age at first sex. However, tracing birth cohorts between surveys revealed inconsistencies—median ages reported by female members of a birth cohort in their teens were generally higher than those reported when they reached their twenties, even when allowing for residence and education changes—probably a result of young, sexually active women denying they had ever had sex. Male birth cohorts tend to display the opposite kind of bias. Conclusions: Uganda, Kenya, and Ghana have experienced a more pronounced and unambiguous decline in premarital sexual activity than Tanzania, Zambia, and Zimbabwe, with statistically significant increases in age at first sex. In addition, Uganda has maintained a very short interval between onset of sexual activity and marriage for both sexes.</div>
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