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Prevalence and Treatment of Diabetes in China, 2013-2018.
Wang, Limin; Peng, Wen; Zhao, Zhenping; Zhang, Mei; Shi, Zumin; Song, Ziwei; Zhang, Xiao; Li, Chun; Huang, Zhengjing; Sun, Xiaomin; Wang, Linhong; Zhou, Maigeng; Wu, Jing; Wang, Youfa.
Afiliación
  • Wang L; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Peng W; Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining, China.
  • Zhao Z; Global Health Institute, Xi'an Jiaotong University, Xi'an, China.
  • Zhang M; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China.
  • Shi Z; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Song Z; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Zhang X; Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
  • Li C; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Huang Z; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Sun X; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Wang L; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Zhou M; Global Health Institute, Xi'an Jiaotong University, Xi'an, China.
  • Wu J; School of Public Health, Xi'an Jiaotong University, Xi'an, China.
  • Wang Y; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
JAMA ; 326(24): 2498-2506, 2021 12 28.
Article en En | MEDLINE | ID: mdl-34962526
ABSTRACT
Importance Recent data on prevalence, awareness, treatment, and risk factors of diabetes in China is necessary for interventional efforts.

Objective:

To estimate trends in prevalence, awareness, treatment, and risk factors of diabetes in China based on national data. Design, Setting, and

Participants:

Cross-sectional nationally representative survey data collected in adults aged 18 years or older in mainland China from 170 287 participants in the 2013-2014 years and 173 642 participants in the 2018-2019 years. Exposures Fasting plasma glucose and hemoglobin A1c levels were measured for all participants. A 2-hour oral glucose tolerance test was conducted for all participants without diagnosed diabetes. Main Outcomes and

Measures:

Primary outcomes were diabetes and prediabetes defined according to American Diabetes Association criteria. Secondary outcomes were awareness, treatment, and control of diabetes and prevalence of risk factors. A hemoglobin A1c level of less than 7.0% (53 mmol/mol) among treated patients with diabetes was considered adequate glycemic control.

Results:

In 2013, the median age was 55.8 years (IQR, 46.4-65.2 years) and the weighted proportion of women was 50.0%; in 2018, the median age was 51.3 years (IQR, 42.1-61.6 years), and the weighted proportion of women was 49.5%. The estimated prevalence of diabetes increased from 10.9% (95% CI, 10.4%-11.5%) in 2013 to 12.4% (95% CI, 11.8%-13.0%) in 2018 (P < .001). The estimated prevalence of prediabetes was 35.7% (95% CI, 34.2%-37.3%) in 2013 and 38.1% (95% CI, 36.4%-39.7%) in 2018 (P = .07). In 2018, among adults with diabetes, 36.7% (95% CI, 34.7%-38.6%) reported being aware of their condition, and 32.9% (95% CI, 30.9%-34.8%) reported being treated; 50.1% (95% CI, 47.5%-52.6%) of patients receiving treatment were controlled adequately. These rates did not change significantly from 2013. From 2013 to 2018, low physical activity, high intake of red meat, overweight, and obesity significantly increased in prevalence. Conclusions and Relevance In this survey study, the estimated diabetes prevalence was high and increased from 2013 to 2018. There was no significant improvement in the estimated prevalence of adequate treatment.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Estado Prediabético / Diabetes Mellitus Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: JAMA Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Estado Prediabético / Diabetes Mellitus Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: JAMA Año: 2021 Tipo del documento: Article País de afiliación: China