2007
DOI: 10.1097/01.aids.0000300533.59483.95
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The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa

Abstract: Background-Knowledge of the effect of socioeconomic status (SES) on HIV infection in Africa stems largely from cross-sectional studies. Cross-sectional studies suffer from two important limitations: two-way causality between SES and HIV serostatus and simultaneous effects of SES on HIV incidence and on HIV-positive survival time. Both problems are avoided in longitudinal cohort studies.

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Cited by 206 publications
(214 citation statements)
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“…Infection rates remain high, especially amongst younger people with females more likely to be infected than males. 5,[7][8][9][10][11][12][13] Likewise, suicidal behaviour in South Africa is a major public health concern accounting respectively for an average non-natural death rate of 9.5% in young people and 11% in adults, giving overall suicide rates that range between 17.2 and 25 per 100 000 of the population. 2,[14][15][16] It is estimated that for every suicide in the country there are at least 20 attempts 2 , and studies show that suicidal ideation is present in 12% amongst adolescents 17 and 9.1% amongst adults 18 in the general population.…”
Section: Introductionmentioning
confidence: 99%
“…Infection rates remain high, especially amongst younger people with females more likely to be infected than males. 5,[7][8][9][10][11][12][13] Likewise, suicidal behaviour in South Africa is a major public health concern accounting respectively for an average non-natural death rate of 9.5% in young people and 11% in adults, giving overall suicide rates that range between 17.2 and 25 per 100 000 of the population. 2,[14][15][16] It is estimated that for every suicide in the country there are at least 20 attempts 2 , and studies show that suicidal ideation is present in 12% amongst adolescents 17 and 9.1% amongst adults 18 in the general population.…”
Section: Introductionmentioning
confidence: 99%
“…The study area, data collection, and laboratory methods of the surveillance have been described elsewhere. 22 All participants in the surveillance provided written informed consent for the analysis of their information, including HIV status. Residents in the surveillance area had to meet age eligibility criteria (women between 15 and 49 and men between 15 and 54 years of age) in order to participate in the HIV surveillance.…”
mentioning
confidence: 99%
“…[9,10] High rates of unemployment in SA can be understood as a significant factor driving the HIV epidemic, [11] and empirical evidence has pointed to increased educational attainment as a method of lowering the incidence. [12] The subject of race and HIV, and who is susceptible to HIV and why, remains a sensitive and controversial issue. Researchers have focused on sociocultural and behavioural aspects in explaining the observed HIV disparities by race.…”
Section: Discussionmentioning
confidence: 99%