Parkhurst Justin O
London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, England.
Bull World Health Organ. 2010 Jul 1;88(7):519-26. doi: 10.2471/BLT.09.070185. Epub 2010 Feb 22.
To investigate the relationships between the prevalence of human immunodeficiency virus (HIV) infection and underlying structural factors of poverty and wealth in several African countries.
A retrospective ecological comparison and trend analysis was conducted by reviewing data from demographic and health surveys, acquired immunodeficiency syndrome (AIDS) indicator surveys and national sero-behavioural surveys in 12 sub-Saharan African countries with different estimated national incomes. Published survey reports were included in the analysis if they contained HIV testing data and wealth quintile rankings. Trends in the relation between gender-specific HIV prevalence and household wealth quintile were determined with the chi(2) test and compared across the 12 countries, and also within one country (the United Republic of Tanzania) at two points in time.
The relationship between the prevalence of HIV infection and household wealth quintile did not show consistent trends in all countries. In particular, rates of HIV infection in higher-income countries did not increase with wealth. Tanzanian data further illustrate that the relationship between wealth and HIV infection can change over time in a given setting, with declining prevalence in wealthy groups occurring simultaneously with increasing prevalence in poorer women.
Both wealth and poverty can lead to potentially risky or protective behaviours. To develop better-targeted HIV prevention interventions, the HIV community must recognize the multiple ways in which underlying structural factors can manifest themselves as risk in different settings and at different times. Context-specific risks should be the targets of HIV prevention initiatives tailored to local factors.
调查几个非洲国家人类免疫缺陷病毒(HIV)感染率与贫困和富裕的潜在结构因素之间的关系。
通过回顾来自12个撒哈拉以南非洲国家的人口与健康调查、获得性免疫缺陷综合征(AIDS)指标调查以及全国血清行为调查的数据,进行回顾性生态比较和趋势分析,这些国家的国民收入估计各不相同。如果已发表的调查报告包含HIV检测数据和财富五分位数排名,则将其纳入分析。采用卡方检验确定特定性别HIV感染率与家庭财富五分位数之间关系的趋势,并在12个国家之间以及在一个国家(坦桑尼亚联合共和国)的两个时间点进行比较。
HIV感染率与家庭财富五分位数之间的关系在所有国家并未呈现出一致的趋势。特别是,高收入国家的HIV感染率并未随着财富增加而上升。坦桑尼亚的数据进一步表明,在特定环境中,财富与HIV感染之间的关系可能随时间变化,富裕群体中的感染率下降,而贫困女性中的感染率同时上升。
财富和贫困都可能导致潜在的危险行为或保护行为。为了制定更具针对性的HIV预防干预措施,HIV防治界必须认识到潜在结构因素在不同环境和不同时间表现为风险的多种方式。针对具体情况的风险应成为根据当地因素量身定制的HIV预防举措的目标。