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Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012

BACKGROUND: Despite previous studies reporting spatial in equality in diabetes prevalence across China, potential geographic variations in diabetes mortality have not been explored. METHODS: Age and gender stratified annual diabetes mortality counts for 161 counties were extracted from the China Mor...

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Autores principales: Zhou, Maigeng, Astell-Burt, Thomas, Yin, Peng, Feng, Xiaoqi, Page, Andrew, Liu, Yunning, Liu, Jiangmei, Li, Yichong, Liu, Shiwei, Wang, Limin, Wang, Lijun, Wang, Linhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496807/
https://www.ncbi.nlm.nih.gov/pubmed/26159911
http://dx.doi.org/10.1186/s12889-015-1982-0
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author Zhou, Maigeng
Astell-Burt, Thomas
Yin, Peng
Feng, Xiaoqi
Page, Andrew
Liu, Yunning
Liu, Jiangmei
Li, Yichong
Liu, Shiwei
Wang, Limin
Wang, Lijun
Wang, Linhong
author_facet Zhou, Maigeng
Astell-Burt, Thomas
Yin, Peng
Feng, Xiaoqi
Page, Andrew
Liu, Yunning
Liu, Jiangmei
Li, Yichong
Liu, Shiwei
Wang, Limin
Wang, Lijun
Wang, Linhong
author_sort Zhou, Maigeng
collection PubMed
description BACKGROUND: Despite previous studies reporting spatial in equality in diabetes prevalence across China, potential geographic variations in diabetes mortality have not been explored. METHODS: Age and gender stratified annual diabetes mortality counts for 161 counties were extracted from the China Mortality Surveillance System and interrogated using multilevel negative binomial regression. Random slopes were used to investigate spatiotemporal variation and the proportion of variance explained was used to assess the relative importance of geographical region, urbanization, mean temperature, local diabetes prevalence, behavioral risk factors and relevant biomarkers. RESULTS: Diabetes mortality tended to reduce between 2006 and 2012, though there appeared to be an increase in diabetes mortality in urban (age standardized rate (ASR) 2006–2012: 10.5–13.6) and rural (ASR 10.8–13.0) areas in the Southwest region. A Median Rate Ratio of 1.47, slope variance of 0.006 (SE 0.001) and covariance of 0.268 (SE 0.007) indicated spatiotemporal variation. Fully adjusted models accounted for 37 % of this geographical variation, with diabetes mortality higher in the Northwest (RR 2.55, 95 % CI 1.74, 3.73) and Northeast (RR 2.68, 95 % CI 1.70, 4.21) compared with the South. Diabetes mortality was higher in urbanized areas (RR tertile 3 versus tertile 1 (‘RRt3vs1’) 1.39, 95 % CI 1.17, 1.66), with higher mean body mass index (RRt3vs1 1.46, 95 % CI 1.18, 1.80) and with higher average temperatures (RR 1.05 95 % CI 1.03, 1.08). Diabetes mortality was lower where consumption of alcohol was excessive (RRt3vs1 0.84, 95 % CI 0.72, 0.99). No association was observed with smoking, overconsumption of red meat, high mean sedentary time, systolic blood pressure, cholesterol, and diabetes prevalence. CONCLUSIONS: Declines in diabetes mortality between 2006 and 2012 have been unequally distributed across China, which may imply differentials in diagnosis, management, and the provision of services that warrant further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1982-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-44968072015-07-10 Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012 Zhou, Maigeng Astell-Burt, Thomas Yin, Peng Feng, Xiaoqi Page, Andrew Liu, Yunning Liu, Jiangmei Li, Yichong Liu, Shiwei Wang, Limin Wang, Lijun Wang, Linhong BMC Public Health Research Article BACKGROUND: Despite previous studies reporting spatial in equality in diabetes prevalence across China, potential geographic variations in diabetes mortality have not been explored. METHODS: Age and gender stratified annual diabetes mortality counts for 161 counties were extracted from the China Mortality Surveillance System and interrogated using multilevel negative binomial regression. Random slopes were used to investigate spatiotemporal variation and the proportion of variance explained was used to assess the relative importance of geographical region, urbanization, mean temperature, local diabetes prevalence, behavioral risk factors and relevant biomarkers. RESULTS: Diabetes mortality tended to reduce between 2006 and 2012, though there appeared to be an increase in diabetes mortality in urban (age standardized rate (ASR) 2006–2012: 10.5–13.6) and rural (ASR 10.8–13.0) areas in the Southwest region. A Median Rate Ratio of 1.47, slope variance of 0.006 (SE 0.001) and covariance of 0.268 (SE 0.007) indicated spatiotemporal variation. Fully adjusted models accounted for 37 % of this geographical variation, with diabetes mortality higher in the Northwest (RR 2.55, 95 % CI 1.74, 3.73) and Northeast (RR 2.68, 95 % CI 1.70, 4.21) compared with the South. Diabetes mortality was higher in urbanized areas (RR tertile 3 versus tertile 1 (‘RRt3vs1’) 1.39, 95 % CI 1.17, 1.66), with higher mean body mass index (RRt3vs1 1.46, 95 % CI 1.18, 1.80) and with higher average temperatures (RR 1.05 95 % CI 1.03, 1.08). Diabetes mortality was lower where consumption of alcohol was excessive (RRt3vs1 0.84, 95 % CI 0.72, 0.99). No association was observed with smoking, overconsumption of red meat, high mean sedentary time, systolic blood pressure, cholesterol, and diabetes prevalence. CONCLUSIONS: Declines in diabetes mortality between 2006 and 2012 have been unequally distributed across China, which may imply differentials in diagnosis, management, and the provision of services that warrant further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1982-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-10 /pmc/articles/PMC4496807/ /pubmed/26159911 http://dx.doi.org/10.1186/s12889-015-1982-0 Text en © Zhou et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhou, Maigeng
Astell-Burt, Thomas
Yin, Peng
Feng, Xiaoqi
Page, Andrew
Liu, Yunning
Liu, Jiangmei
Li, Yichong
Liu, Shiwei
Wang, Limin
Wang, Lijun
Wang, Linhong
Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title_full Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title_fullStr Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title_full_unstemmed Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title_short Spatiotemporal variation in diabetes mortality in China: multilevel evidence from 2006 and 2012
title_sort spatiotemporal variation in diabetes mortality in china: multilevel evidence from 2006 and 2012
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496807/
https://www.ncbi.nlm.nih.gov/pubmed/26159911
http://dx.doi.org/10.1186/s12889-015-1982-0
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