Strömberg Ulf, Baigi Amir, Holmén Anders, Parkes Brandon L, Bonander Carl, Piel Frédéric B
School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden.
Department of Research and Development, Region Halland, Sweden.
Scand J Public Health. 2023 Jun;51(4):520-526. doi: 10.1177/14034948211030353. Epub 2021 Jul 20.
The aims of this study were to construct a small-area index of multiple deprivation (IMD) from single deprivation indicators (SDIs) and to compare the explanatory power of the IMD and SDIs with regard to mortality. We considered a small-area division of Sweden consisting of 5985 DeSO (), each with a population size between 653 and 4243 at the end of 2018.
Four SDIs were provided by open-source data: (a) the proportion of inhabitants with a low economic standard; (b) the proportion of inhabitants aged 25-64 years with ⩽12 years of schooling; (c) the proportion of inhabitants aged 16-64 years who were not in paid employment; and (d) the proportion of inhabitants who lived in a rented apartment/house. A four-indicator IMD was constructed using factor analysis. As a validation, the IMD and SDIs were compared by exploring their DeSO-level associations with spatially smoothed death rates, with robustness checks of associations across different small-area contexts defined by degree of urbanisation and distribution of immigrants from non-Western countries.
The constructed IMD and SDI1 performed essentially equally and outperformed SDI2, SDI3 and SDI4. Associations between IMD/SDI1 and the spatially smoothed death rates were most pronounced within the age range 60-79 years, showing 5-8% lowered rates among those categorised in the least deprived quintiles of IMD and SDI1, respectively, and 7-9% elevated rates among those categorised in the most deprived quintiles. These associations were consistent within each small-area context.
We suggest prioritisation of SDI1, that is, a DeSO-level deprivation indicator based on open-access data on economic standard, for public-health surveillance in Sweden.
本研究的目的是根据单一剥夺指标(SDI)构建一个小区域多重剥夺指数(IMD),并比较IMD和SDI在死亡率方面的解释力。我们考虑了瑞典的一个小区域划分,由5985个DeSO()组成,每个DeSO在2018年底的人口规模在653至4243人之间。
通过开源数据提供了四个SDI:(a)经济水平较低的居民比例;(b)25 - 64岁且受教育年限≤12年的居民比例;(c)16 - 64岁未从事有偿工作的居民比例;(d)居住在出租公寓/房屋中的居民比例。使用因子分析构建了一个四指标IMD。作为验证,通过探索IMD和SDI与空间平滑死亡率的DeSO水平关联来比较它们,并对由城市化程度和非西方国家移民分布定义的不同小区域背景下的关联进行稳健性检验。
构建的IMD和SDI1表现基本相同,且优于SDI2、SDI3和SDI4。IMD/SDI1与空间平滑死亡率之间的关联在60 - 79岁年龄范围内最为明显,分别显示在IMD和SDI1最不贫困五分位数中的人群死亡率降低了5 - 8%,而在最贫困五分位数中的人群死亡率升高了7 - 9%。这些关联在每个小区域背景下都是一致的。
我们建议在瑞典的公共卫生监测中优先使用SDI1,即基于经济水平开放获取数据的DeSO水平剥夺指标。