Ilaria Valentini, Mario Cesare Nurchis, Gerardo Altamura, Americo Cicchetti, Gianfranco Damiani, Giuseppe Arbia
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引用次数: 0
摘要
本研究探讨了意大利拉齐奥大区社会贫困指数(SDI)与 2 型糖尿病、痴呆症和心力衰竭之间的空间差异和关联。主要目的是通过分析社会贫困指数与疾病的相关性,评估社会贫困如何影响健康不平等。这项回顾性研究使用了意大利拉齐奥大区 2020 年的社会经济数据和 2021 年的流行病学指标。SDI 根据既定准则构建,用于衡量社会贫困程度。统计工具包括回归模型、Moran's I 检验和 LISA 技术,用于分析空间模式。我们采用回顾性方法,合并 2020 年的社会经济数据和 2021 年的流行病学数据进行分析。采用既定方法计算 SDI。通过回归模型、Moran's I 检验和 LISA 技术探讨了空间差异。研究揭示了疾病发病率的显著差异。罗马第五区的 2 型糖尿病(113.75/1000)和心力衰竭(37.98/1000)发病率较高,而马尔塞特利的痴呆症发病率较高(19.74)。南部城市面临高失业率(高达 25%),而接壤地区的教育水平较高(30-60%)。疾病热点出现在罗马和中北部城市,与社会贫困模式一致。回归模型证实了疾病发病率与社会经济指标之间的联系。社会经济指标从-1.31到+10.01不等。这项研究强调了社会贫困与疾病发病率之间的相关性。进一步的国家级研究对于加深我们对社会贫困如何影响健康结果的理解至关重要,这对解决地区和国家的健康差距问题具有潜在影响。
The Impact of Socio-Economic Conditions on Individuals’ Health: Development of an Index and Examination of its Association with Three of the Most Frequently Registered Diseases in Lazio Region of Italy
This study examines spatial disparities and associations between the social deprivation index (SDI) and Type 2 Diabetes, Dementia, and Heart Failure in Italy’s Lazio Region. The primary goal is to assess how social deprivation impacts health inequalities by analysing SDI-disease correlations. This retrospective study uses 2020 socioeconomic data and 2021 epidemiological indicators in Lazio Region, Italy. The SDI, constructed following established guidelines, measures social deprivation. Statistical tools, including regression models, Moran’s I test, and LISA techniques, are used to analyse spatial patterns. Utilizing a retrospective approach, we merge 2020 socioeconomic and 2021 epidemiological data for analysis. The SDI is computed using established methods. Spatial disparities are explored through regression models, Moran’s I test, and LISA techniques. The study reveals significant disparities in disease incidence. District V in Rome exhibits high Type 2 Diabetes (113.75/1000) and Heart Failure (37.98/1000) rates, while Marcetelli has elevated Dementia incidence (19.74). Southern municipalities face high unemployment (up to 25%), whereas bordering areas have higher education levels (30–60%). Disease hotspots emerge in Rome and centre-north municipalities, aligning with social deprivation patterns. Regression models confirm the link between disease incidence and socioeconomic indicators. SDI ranges from − 1.31 to + 10.01. This study underscores a correlation between social deprivation and disease incidence. Further national-level research is essential to deepen our understanding of how social deprivation influences health outcomes, with potential implications for addressing health disparities both regionally and nationally.
期刊介绍:
Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.