Vogt Camila de Moura, Santos Ricardo Bruno Nascimento Dos, Fernandes Danilo Araújo
Universidade Federal de Santa Maria, Santa Maria, Brasil.
Universidade Federal do Pará, Belém, Brasil.
Cad Saude Publica. 2025 Mar 24;41Suppl 1(Suppl 1):e00212223. doi: 10.1590/0102-311XEN212223. eCollection 2025.
In public health research, socioeconomic indicators play a crucial role. They are essential for understanding the relation between poverty and health issues, as well as for allocating resources to public health infrastructure and providing appropriate treatments to the population. Traditionally, income has been the main indicator for measuring poverty, by establishing a poverty line that distinguishes those considered not poor or not vulnerable (above the line) from those categorized as poor or vulnerable (below the line). The one-dimensional analysis of poverty, however, shows limitations, particularly in regions with high epidemiological complexity and highly vulnerable populations, such as Brazil's Legal Amazon. This paper discusses and estimates a multidimensional approach to poverty in Brazil's Legal Amazon based on the multidimensional poverty index (MPI) according to the Alkire-Foster (2010) methodology. As a socioeconomic indicator, the MPI considers not only income, but also other indicators related to public health that affect the well-being of populations. The use of a multidimensional indicator allows a more complete understanding of socioeconomic and living conditions, facilitating the formulation of public policies. The results of the calculated indicator, MPI - Legal Amazon, show important differences in the characteristics of rural poverty, as well as in the intensity and incidence of this poverty, which are not identified by one-dimensional income indicators. The paper concludes that the multidimensional approach is key to address the complex issues of public health and socioeconomic development in the region.
在公共卫生研究中,社会经济指标发挥着关键作用。它们对于理解贫困与健康问题之间的关系至关重要,同时对于向公共卫生基础设施分配资源以及为民众提供适当治疗也必不可少。传统上,收入一直是衡量贫困的主要指标,通过设定一条贫困线来区分那些被视为非贫困或非弱势群体(高于该线)与被归类为贫困或弱势群体(低于该线)。然而,贫困的一维分析显示出局限性,特别是在流行病学复杂性高且人口高度脆弱的地区,如巴西的合法亚马逊地区。本文根据阿尔基尔 - 福斯特(2010)方法,基于多维贫困指数(MPI)讨论并估计了巴西合法亚马逊地区贫困的多维方法。作为一项社会经济指标,MPI不仅考虑收入,还考虑其他与公共卫生相关的影响民众福祉的指标。使用多维指标能够更全面地了解社会经济和生活状况,便于制定公共政策。计算得出的指标“合法亚马逊地区MPI”的结果显示,农村贫困特征以及这种贫困的强度和发生率存在重要差异,而一维收入指标无法识别这些差异。本文得出结论,多维方法是解决该地区公共卫生和社会经济发展复杂问题的关键。