Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden
ObjectiveAnalyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM.MethodsWe downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary ana...
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Frontiers Media S.A.
2024-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1297203/full |
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author | Xin Huang Yinhui He Haiyan Xu Yuyan Shen Xiaowen Pan Junyun Wu Kai Chen |
author_facet | Xin Huang Yinhui He Haiyan Xu Yuyan Shen Xiaowen Pan Junyun Wu Kai Chen |
author_sort | Xin Huang |
collection | DOAJ |
description | ObjectiveAnalyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM.MethodsWe downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI).ResultsIn China, it is estimated that 3.74 (3.44–4.10) million incidence, 90.0 (82.3–98.5) million prevalence, 168.4 (143.2–194.0) thousand deaths, and 9.6 (7.6–11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI.ConclusionThe disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden. |
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language | English |
last_indexed | 2024-03-08T16:07:50Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Public Health |
spelling | doaj.art-d8a79256957041ca9b89d56c5371def72024-01-08T05:10:21ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-01-011110.3389/fpubh.2023.12972031297203Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burdenXin Huang0Yinhui He1Haiyan Xu2Yuyan Shen3Xiaowen Pan4Junyun Wu5Kai Chen6Department of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, ChinaDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, ChinaDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, ChinaDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, ChinaDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, ChinaDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, ChinaDepartment of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, ChinaObjectiveAnalyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM.MethodsWe downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI).ResultsIn China, it is estimated that 3.74 (3.44–4.10) million incidence, 90.0 (82.3–98.5) million prevalence, 168.4 (143.2–194.0) thousand deaths, and 9.6 (7.6–11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI.ConclusionThe disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1297203/fulltype 2 diabetes mellitusChinadisability-adjusted life yearshigh body mass indexambient particulate matter pollutionsociodemographic index |
spellingShingle | Xin Huang Yinhui He Haiyan Xu Yuyan Shen Xiaowen Pan Junyun Wu Kai Chen Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden Frontiers in Public Health type 2 diabetes mellitus China disability-adjusted life years high body mass index ambient particulate matter pollution sociodemographic index |
title | Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden |
title_full | Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden |
title_fullStr | Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden |
title_full_unstemmed | Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden |
title_short | Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden |
title_sort | association between sociodemographic status and the t2dm related risks in china implication for reducing t2dm disease burden |
topic | type 2 diabetes mellitus China disability-adjusted life years high body mass index ambient particulate matter pollution sociodemographic index |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1297203/full |
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