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Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study

BACKGROUND: Diabetes mellitus (DM) imposes a significant disease burden in economically transitioning regions. Most transitioning regions share similar experience in urbanization processes. Shanghai’s Pudong district serves as a representative area of such regions. OBJECTIVE: We aimed to assess the...

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Autores principales: Li, Xiaopan, Liu, Ru, Chen, Yichen, Han, Yan, Wang, Qizhe, Xu, Yaxin, Zhou, Jing, Jiang, Sunfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507522/
https://www.ncbi.nlm.nih.gov/pubmed/37665630
http://dx.doi.org/10.2196/43687
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author Li, Xiaopan
Liu, Ru
Chen, Yichen
Han, Yan
Wang, Qizhe
Xu, Yaxin
Zhou, Jing
Jiang, Sunfang
author_facet Li, Xiaopan
Liu, Ru
Chen, Yichen
Han, Yan
Wang, Qizhe
Xu, Yaxin
Zhou, Jing
Jiang, Sunfang
author_sort Li, Xiaopan
collection PubMed
description BACKGROUND: Diabetes mellitus (DM) imposes a significant disease burden in economically transitioning regions. Most transitioning regions share similar experience in urbanization processes. Shanghai’s Pudong district serves as a representative area of such regions. OBJECTIVE: We aimed to assess the burden of and trends in DM mortality in Shanghai’s Pudong district and analyze the impact of aging and multimorbidity. METHODS: A longitudinal, population-based study was conducted to analyze DM mortality in Pudong from 2005 to 2020. We used joinpoint regression to analyze epidemiological features and long-term trends in crude mortality rate (CMR), age-standardized mortality rate worldwide (ASMRW), and years of life lost (YLL). Furthermore, the decomposition method was used to evaluate the contribution of demographic and nondemographic factors associated with mortality. RESULTS: There were 49,414 deaths among individuals with DM, including 15,512 deaths due to DM. The CMR and ASMRW were 109.55/10(5) and 38.01/10(5) person-years, respectively. Among the mortality associated with and due to DM, the total annual ASMRW increased by 3.65% (95% CI 3.25%-4.06%) and 1.38% (95% CI 0.74%-2.02%), respectively. Additionally, the total annual YLL rate increased by 4.98% (95% CI 3.92%-6.05%) and 2.68% (95% CI 1.34%-4.04%). The rates of YLL increase in persons aged 30 to 44 years (3.98%, 95% CI 0.32%-7.78%) and 45 to 59 years (4.31%, 95% CI 2.95%-5.69%) were followed by the increase in persons aged 80 years and older (10.53%, 95% CI 9.45%-11.62%) for deaths associated with DM. The annual CMR attributable to demographic factors increased by 41.9% (95% CI 17.73%-71.04%) and 36.72% (95% CI 16.69%-60.2%) for deaths associated with and due to DM, respectively. Hypertension, cerebrovascular disease, and ischemic heart disease were the top 3 comorbidities. CONCLUSIONS: Aging and multimorbidity played essential roles in changing the burden of DM in an urbanizing and transitioning region. There is an increasing disease burden among young and middle-aged people, emphasizing the need for greater attention to these groups. Health management is an emerging method that holds important implications for alleviating the future burden of DM.
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spelling pubmed-105075222023-09-20 Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study Li, Xiaopan Liu, Ru Chen, Yichen Han, Yan Wang, Qizhe Xu, Yaxin Zhou, Jing Jiang, Sunfang JMIR Public Health Surveill Original Paper BACKGROUND: Diabetes mellitus (DM) imposes a significant disease burden in economically transitioning regions. Most transitioning regions share similar experience in urbanization processes. Shanghai’s Pudong district serves as a representative area of such regions. OBJECTIVE: We aimed to assess the burden of and trends in DM mortality in Shanghai’s Pudong district and analyze the impact of aging and multimorbidity. METHODS: A longitudinal, population-based study was conducted to analyze DM mortality in Pudong from 2005 to 2020. We used joinpoint regression to analyze epidemiological features and long-term trends in crude mortality rate (CMR), age-standardized mortality rate worldwide (ASMRW), and years of life lost (YLL). Furthermore, the decomposition method was used to evaluate the contribution of demographic and nondemographic factors associated with mortality. RESULTS: There were 49,414 deaths among individuals with DM, including 15,512 deaths due to DM. The CMR and ASMRW were 109.55/10(5) and 38.01/10(5) person-years, respectively. Among the mortality associated with and due to DM, the total annual ASMRW increased by 3.65% (95% CI 3.25%-4.06%) and 1.38% (95% CI 0.74%-2.02%), respectively. Additionally, the total annual YLL rate increased by 4.98% (95% CI 3.92%-6.05%) and 2.68% (95% CI 1.34%-4.04%). The rates of YLL increase in persons aged 30 to 44 years (3.98%, 95% CI 0.32%-7.78%) and 45 to 59 years (4.31%, 95% CI 2.95%-5.69%) were followed by the increase in persons aged 80 years and older (10.53%, 95% CI 9.45%-11.62%) for deaths associated with DM. The annual CMR attributable to demographic factors increased by 41.9% (95% CI 17.73%-71.04%) and 36.72% (95% CI 16.69%-60.2%) for deaths associated with and due to DM, respectively. Hypertension, cerebrovascular disease, and ischemic heart disease were the top 3 comorbidities. CONCLUSIONS: Aging and multimorbidity played essential roles in changing the burden of DM in an urbanizing and transitioning region. There is an increasing disease burden among young and middle-aged people, emphasizing the need for greater attention to these groups. Health management is an emerging method that holds important implications for alleviating the future burden of DM. JMIR Publications 2023-09-04 /pmc/articles/PMC10507522/ /pubmed/37665630 http://dx.doi.org/10.2196/43687 Text en ©Xiaopan Li, Ru Liu, Yichen Chen, Yan Han, Qizhe Wang, Yaxin Xu, Jing Zhou, Sunfang Jiang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 04.09.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Li, Xiaopan
Liu, Ru
Chen, Yichen
Han, Yan
Wang, Qizhe
Xu, Yaxin
Zhou, Jing
Jiang, Sunfang
Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title_full Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title_fullStr Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title_full_unstemmed Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title_short Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study
title_sort patterns and trends in mortality associated with and due to diabetes mellitus in a transitioning region with 3.17 million people: observational study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507522/
https://www.ncbi.nlm.nih.gov/pubmed/37665630
http://dx.doi.org/10.2196/43687
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