Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia

The spatial variation of type 2 diabetes mellitus (T2DM) and hypertension and their potential linkage were explored in South Sulawesi Province, Indonesia. The Global Moran’s I and regression analysis were utilized to identify the characteristics involved. The methods were performed based on T2DM and...

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Autores principales: Zainuddin, Andi Alfian, Rahim, Amran, Ramadany, Sri, Dharmayani, Himawan, Kuswanto, Hedi, Kadir, Rais Reskiawan A., Abdullah, Andi Afdal, Rasyid, Haerani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842709/
https://www.ncbi.nlm.nih.gov/pubmed/36646819
http://dx.doi.org/10.1038/s41598-023-27902-y
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author Zainuddin, Andi Alfian
Rahim, Amran
Ramadany, Sri
Dharmayani, Himawan
Kuswanto, Hedi
Kadir, Rais Reskiawan A.
Abdullah, Andi Afdal
Rasyid, Haerani
author_facet Zainuddin, Andi Alfian
Rahim, Amran
Ramadany, Sri
Dharmayani, Himawan
Kuswanto, Hedi
Kadir, Rais Reskiawan A.
Abdullah, Andi Afdal
Rasyid, Haerani
author_sort Zainuddin, Andi Alfian
collection PubMed
description The spatial variation of type 2 diabetes mellitus (T2DM) and hypertension and their potential linkage were explored in South Sulawesi Province, Indonesia. The Global Moran’s I and regression analysis were utilized to identify the characteristics involved. The methods were performed based on T2DM and hypertension data from 2017 and 2018 acquired from Social Health Insurance Administration in Indonesia. The spatial variation of T2DM and hypertension showed that the prevalence rate of T2DM and hypertension tends to occur randomly (p = 0.678, p = 0.711, respectively). By utilizing Generalized Poisson Regression Analysis, our study showed a significant relationship between T2DM and hypertension (p ≤ 0.001). This research could help policy makers to plan and support projects with the aim of overcoming the risk of T2DM and hypertension.
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spelling pubmed-98427092023-01-18 Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia Zainuddin, Andi Alfian Rahim, Amran Ramadany, Sri Dharmayani, Himawan Kuswanto, Hedi Kadir, Rais Reskiawan A. Abdullah, Andi Afdal Rasyid, Haerani Sci Rep Article The spatial variation of type 2 diabetes mellitus (T2DM) and hypertension and their potential linkage were explored in South Sulawesi Province, Indonesia. The Global Moran’s I and regression analysis were utilized to identify the characteristics involved. The methods were performed based on T2DM and hypertension data from 2017 and 2018 acquired from Social Health Insurance Administration in Indonesia. The spatial variation of T2DM and hypertension showed that the prevalence rate of T2DM and hypertension tends to occur randomly (p = 0.678, p = 0.711, respectively). By utilizing Generalized Poisson Regression Analysis, our study showed a significant relationship between T2DM and hypertension (p ≤ 0.001). This research could help policy makers to plan and support projects with the aim of overcoming the risk of T2DM and hypertension. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842709/ /pubmed/36646819 http://dx.doi.org/10.1038/s41598-023-27902-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zainuddin, Andi Alfian
Rahim, Amran
Ramadany, Sri
Dharmayani, Himawan
Kuswanto, Hedi
Kadir, Rais Reskiawan A.
Abdullah, Andi Afdal
Rasyid, Haerani
Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title_full Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title_fullStr Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title_full_unstemmed Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title_short Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia
title_sort geospatial analysis of type 2 diabetes mellitus and hypertension in south sulawesi, indonesia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842709/
https://www.ncbi.nlm.nih.gov/pubmed/36646819
http://dx.doi.org/10.1038/s41598-023-27902-y
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