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Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis

Diabetes mortality in Shandong is higher than the national average in China. This study first explored diabetes mortality variation spatially at the county/district level among adults aged over 30 years in terms of age and gender, specifically by season. Daily diabetes mortality data were collected...

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Autores principales: Zheng, Wenxiu, Chu, Jie, Ren, Jie, Dong, Jing, Bambrick, Hilary, Wang, Ning, Mengersen, Kerrie, Guo, Xiaolei, Hu, Wenbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779441/
https://www.ncbi.nlm.nih.gov/pubmed/36554905
http://dx.doi.org/10.3390/ijerph192417024
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author Zheng, Wenxiu
Chu, Jie
Ren, Jie
Dong, Jing
Bambrick, Hilary
Wang, Ning
Mengersen, Kerrie
Guo, Xiaolei
Hu, Wenbiao
author_facet Zheng, Wenxiu
Chu, Jie
Ren, Jie
Dong, Jing
Bambrick, Hilary
Wang, Ning
Mengersen, Kerrie
Guo, Xiaolei
Hu, Wenbiao
author_sort Zheng, Wenxiu
collection PubMed
description Diabetes mortality in Shandong is higher than the national average in China. This study first explored diabetes mortality variation spatially at the county/district level among adults aged over 30 years in terms of age and gender, specifically by season. Daily diabetes mortality data were collected from 31 mortality surveillance points across Shandong Province in 2014. A geographic information system, spatial kriging interpolation and a spatial clustering method were used to examine the spatial patterns of diabetes mortality at the county/district level by season. Sensitivity analysis was conducted using diabetes mortality data from 10 mortality surveillance points from 2011 to 2020. As a result, the total diabetes mortality in eastern counties/districts was the highest (relative risk (RR) of cluster: 1.58, p = 0.00) across the whole province. For subgroups, women had higher mortality (16.84/100,000) than men (12.15/100,000), people aged over 75 years were the most vulnerable (93.91/100,000) and the highest-risk season was winter. However, the mortality differences between winter and summer were smaller in eastern and coastal regions than in other regions for all gender- and age-specific groups. The findings provide further evidence for early warning and precision preventative strategies for diabetes mortality in different regions of Shandong Province. Future research is required to identify the risk factors for diabetes and understand the differences in the social and environmental contexts.
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spelling pubmed-97794412022-12-23 Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis Zheng, Wenxiu Chu, Jie Ren, Jie Dong, Jing Bambrick, Hilary Wang, Ning Mengersen, Kerrie Guo, Xiaolei Hu, Wenbiao Int J Environ Res Public Health Article Diabetes mortality in Shandong is higher than the national average in China. This study first explored diabetes mortality variation spatially at the county/district level among adults aged over 30 years in terms of age and gender, specifically by season. Daily diabetes mortality data were collected from 31 mortality surveillance points across Shandong Province in 2014. A geographic information system, spatial kriging interpolation and a spatial clustering method were used to examine the spatial patterns of diabetes mortality at the county/district level by season. Sensitivity analysis was conducted using diabetes mortality data from 10 mortality surveillance points from 2011 to 2020. As a result, the total diabetes mortality in eastern counties/districts was the highest (relative risk (RR) of cluster: 1.58, p = 0.00) across the whole province. For subgroups, women had higher mortality (16.84/100,000) than men (12.15/100,000), people aged over 75 years were the most vulnerable (93.91/100,000) and the highest-risk season was winter. However, the mortality differences between winter and summer were smaller in eastern and coastal regions than in other regions for all gender- and age-specific groups. The findings provide further evidence for early warning and precision preventative strategies for diabetes mortality in different regions of Shandong Province. Future research is required to identify the risk factors for diabetes and understand the differences in the social and environmental contexts. MDPI 2022-12-18 /pmc/articles/PMC9779441/ /pubmed/36554905 http://dx.doi.org/10.3390/ijerph192417024 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zheng, Wenxiu
Chu, Jie
Ren, Jie
Dong, Jing
Bambrick, Hilary
Wang, Ning
Mengersen, Kerrie
Guo, Xiaolei
Hu, Wenbiao
Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title_full Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title_fullStr Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title_full_unstemmed Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title_short Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis
title_sort age- and gender-specific differences in the seasonal distribution of diabetes mortality in shandong, china: a spatial analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779441/
https://www.ncbi.nlm.nih.gov/pubmed/36554905
http://dx.doi.org/10.3390/ijerph192417024
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