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Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden.
Huang, Xin; He, Yinhui; Xu, Haiyan; Shen, Yuyan; Pan, Xiaowen; Wu, Junyun; Chen, Kai.
Afiliação
  • Huang X; Department of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
  • He Y; Department of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
  • Xu H; Department of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
  • Shen Y; Department of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
  • Pan X; Department of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
  • Wu J; Department of Endocrinology and Metabolism, The Second Affiliated Hospital of ZheJiang University School of Medicine, Zhejiang, China.
  • Chen K; Department of Endocrinology and Metabolism, Lishui Municipal Central Hospital, Lishui, China.
Front Public Health ; 11: 1297203, 2023.
Article em En | MEDLINE | ID: mdl-38259760
ABSTRACT

Objective:

Analyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM.

Methods:

We 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).

Results:

In 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.

Conclusion:

The 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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans / Male País/Região como assunto: Asia Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans / Male País/Região como assunto: Asia Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China