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印度尼西亚全国范围内中风的主要风险因素;全民健康覆盖计划的地理空间分析。

The major risk factor of stroke across Indonesia; a nationwide geospatial analysis of universal health coverage program.

作者信息

Zainuddin Andi Alfian, Kadir Rais Reskiawan A, Kuswanto Hedi, Tammasse Jumraini, Qalby Nurul, Abdullah Andi Afdal, Junaidi Ari Andini, Asyary Al

机构信息

Department of Public Health and Community Medicine, Faculty of Medicine, Hasanuddin University, Makassar, 90245, Indonesia.

Buck Institute for Research on Aging, Novato, CA, 94945, USA.

出版信息

Arch Public Health. 2025 Jul 1;83(1):169. doi: 10.1186/s13690-025-01613-4.

Abstract

BACKGROUND

Stroke is the leading cause of mortality in Indonesia, with hypertension and diabetes mellitus (DM) recognized as well-established risk factors. Moreover, recent epidemiological studies have documented rising incidence, morbidity and mortality of these conditions. Understanding their spatial distribution and interrelationships is crucial for developing targeted public health interventions. This study aims to analyze the geographic distribution of stroke, DM, and hypertension across Indonesia's provinces, evaluate their spatial correlations, and explore their interconnections using advanced spatial modeling techniques.

METHODS

The data were collected from the Social Health Insurance Administration Body, which manages Indonesia's universal health coverage, between 2017 and 2022. Crude incidence rates for the diseases were calculated and spatial distribution patterns were analyzed using Global and local Moran analysis. A spatial autoregressive (SAR) model was employed to assess the spatial dependence and interrelationships between these diseases.

RESULTS

The crude incidence rates of stroke, hypertension, and DM were 158.47, 2716.34, and 1503.06 per 100,000 population, respectively. Significant spatial heterogeneity was observed, with certain provinces consistently appearing as high-risk areas across all three diseases. Through SAR analysis, our study identified a significant positive spatial association between DM and stroke incidence, indicating that provinces with higher DM rates also tend to experience elevated stroke burden.

CONCLUSION

This study mapped the geographical and spatial distribution of stroke, DM, and hypertension across Indonesia and found the pivotal role of DM in driving stroke incidence. By prioritizing high-incidence regions and addressing specific risk factors, targeted interventions can significantly reduce stroke cases and enhance public health outcomes in Indonesia.

摘要

背景

中风是印度尼西亚的主要死因,高血压和糖尿病(DM)被认为是公认的风险因素。此外,最近的流行病学研究记录了这些疾病的发病率、患病率和死亡率不断上升。了解它们的空间分布和相互关系对于制定有针对性的公共卫生干预措施至关重要。本研究旨在分析印度尼西亚各省中风、糖尿病和高血压的地理分布,评估它们的空间相关性,并使用先进的空间建模技术探索它们的相互联系。

方法

数据收集自2017年至2022年期间管理印度尼西亚全民健康覆盖的社会健康保险管理机构。计算了这些疾病的粗发病率,并使用全局和局部莫兰分析来分析空间分布模式。采用空间自回归(SAR)模型来评估这些疾病之间的空间依赖性和相互关系。

结果

中风、高血压和糖尿病的粗发病率分别为每10万人口158.47、2716.34和1503.06。观察到显著的空间异质性,某些省份在所有三种疾病中一直是高风险地区。通过SAR分析,我们的研究发现糖尿病与中风发病率之间存在显著的正空间关联,这表明糖尿病发病率较高的省份也往往承受着更高的中风负担。

结论

本研究绘制了印度尼西亚中风、糖尿病和高血压的地理和空间分布图,并发现糖尿病在推动中风发病率方面的关键作用。通过将高发病率地区作为优先重点并解决特定风险因素,有针对性的干预措施可以显著减少印度尼西亚的中风病例并改善公共卫生结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1309/12211319/e8363919fdd8/13690_2025_1613_Fig1_HTML.jpg

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