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Social determinants of health predict state incidence of HIV and AIDS: a short report

机译:健康的社会决定因素预测国家艾滋病毒和艾滋病的发病率:简短报告

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There are approximately 1.2 million people living with HIV/AIDS (PLWHA) in the USA. Each year, there are roughly 50,000 new HIV diagnoses. The World Health Organization Commission on Social Determinants of Health (CSDH) identified several social determinants of health and health inequity (SDH) including childcare, education, employment, gender equality, health insurance, housing, and income. The CSDH also noted the significant impact the SDH can have on advocacy for social change, social interventions to reduce HIV prevalence, and health monitoring. The current analysis evaluated the predictive ability of five SDH for HIV and AIDS incidence on the state level. The SDH used in the analysis were education, employment, housing, income, and insurance; other SDH were not included because reliable and appropriate state-level data were not available. The results of multiple regression analyses indicate that the use of these five SDH create statistically significant models predicting HIV incidence (adjusted R-2 = .54) and AIDS incidence (adjusted R-2 = .37) and account for a sizable portion of the variance for each. Stepwise variable selection reduced the necessary SDH to two: (1) education and (2) housing. These models are also statistically significant and account for a notable portion of variance in HIV incidence (adjusted R-2 = .55) and AIDS incidence (adjusted R-2 = .40). These outcomes demonstrate that state-level SDH, particularly education and housing, offer significant explanatory power regarding HIV and AIDS incidence rates. Congruent with the recommendations of the CSDH, the results of the current analysis suggest that state-sponsored policy and social interventions should consider and target SDH, especially education and housing, in attempts to reduce HIV and AIDS incidence rates.
机译:在美国,大约有120万人感染艾滋病毒/艾滋病(PLWHA)。每年大约有50,000新的HIV诊断。世界卫生组织健康社会决定因素委员会(CSDH)确定了健康和健康不平等(SDH)的几个社会决定因素,包括育儿,教育,就业,性别平等,健康保险,住房和收入。 CSDH还指出,SDH可能对倡导社会变革,降低HIV流行率的社会干预措施以及健康监测产生重大影响。当前的分析在州一级评估了五个SDH对HIV和AIDS发病率的预测能力。分析中使用的SDH是教育,就业,住房,收入和保险;不包括其他SDH,因为没有可靠且适当的状态级别数据。多元回归分析的结果表明,使用这五个SDH可以创建具有统计学意义的模型,这些模型可以预测HIV发生率(调整后的R-2 = .54)和AIDS发生率(调整后的R-2 = .37),并占每个方差。逐步选择变量将必需的SDH减少为两个:(1)教育和(2)住房。这些模型在统计上也很重要,并且说明了HIV发生率(调整后的R-2 = 0.55)和AIDS发生率(调整后的R-2 = 0.40)的显着部分。这些结果表明,州一级的SDH,尤其是教育和住房,可以提供有关HIV和AIDS发病率的重要解释力。与CSDH的建议一致,当前分析的结果表明,国家支持的政策和社会干预措施应考虑并针对SDH,尤其是教育和住房,以降低HIV和AIDS的发病率。

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