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撒哈拉以南非洲地区千年发展目标进展的政治决定因素。

Political determinants of progress in the MDGs in Sub-Saharan Africa.

机构信息

a Unit for Health Promotion Research , University of Southern Denmark , Esbjerg , Denmark.

出版信息

Glob Public Health. 2017 Nov;12(11):1351-1368. doi: 10.1080/17441692.2016.1177567. Epub 2016 May 10.

DOI:10.1080/17441692.2016.1177567
PMID:27166318
Abstract

Sub-Saharan Africa (SSA) lagged furthest behind in achieving targets for the millennium development goals (MDG). We investigate the hypothesis that its slow progress is influenced by political factors. Longitudinal data on three health MDG indicators: under-five mortality, maternal mortality and HIV prevalence rates were collated from 1990 to 2012 in 48 countries. Countries were grouped into geo-political and eco-political groups. Groupings were based on conflict trends in geographical regions and the International Monetary Fund's classification of SSA countries based on gross national income and development assistance respectively. Cumulative progress in each group was derived and main effects tested using ANOVA. Correlation analysis was conducted between political variables - POLITY 2, fragile state index (FSI), voter turnout rates, civil liberty scores (CLS) and the health variables. Our results suggest a significant main effect of eco-political and geo-political groups on some of the health variables. Political conflict as measured by FSI and political participation as measured by CLS were stronger predictors of slow progress in reducing under-five mortality rates and maternal mortality ratios. Our findings highlight the need for further research on political determinants of mortality in SSA. Cohesive effort should focus on strengthening countries' political, economic and social capacities in order to achieve sustainable goals beyond 2015.

摘要

撒哈拉以南非洲(SSA)在实现千年发展目标(MDG)方面的进展最为滞后。我们研究了一个假设,即其缓慢的进展受到政治因素的影响。从 1990 年到 2012 年,我们在 48 个国家收集了三个健康 MDG 指标(五岁以下儿童死亡率、孕产妇死亡率和艾滋病毒感染率)的纵向数据。根据冲突趋势,将国家分为地缘政治和生态政治群体,根据国民总收入和发展援助,将国际货币基金组织对 SSA 国家的分类分别作为分类依据。使用方差分析(ANOVA)得出每个组别的累积进展,并测试主要效果。对政治变量(POLITY 2、脆弱国家指数(FSI)、投票率、公民自由评分(CLS)和健康变量)进行相关性分析。结果表明,生态政治和地缘政治群体对一些健康变量的主要影响显著。FSI 衡量的政治冲突和 CLS 衡量的政治参与是降低五岁以下儿童死亡率和孕产妇死亡率的缓慢进展的更强预测因素。我们的研究结果强调了需要进一步研究 SSA 死亡率的政治决定因素。有凝聚力的努力应集中于加强各国的政治、经济和社会能力,以实现 2015 年以后的可持续目标。

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