| Title |
Prevalence of diabetes and determinants: evidence from a minority region in People’s Republic of China
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, March 2016
|
| DOI | 10.2147/tcrm.s90220 |
| Pubmed ID | |
| Authors |
Qingyun Chen, Yanhua Yi, Ning Xia, Chunling Li, Zuojie Luo, Gaoming Huang, Ying Chen, Shumin Li, Luhua Lai, Mingdeng Wang, Jing Tan, Jie Zhang, Hanlei Shen, Bixun Li, Feiqun Su, Hua Wei, Xia Dai, Fengji Lu, Shuilian Li |
| Abstract |
This study aimed to examine the prevalence of diabetes mellitus and other categories of glucose intolerance (impaired glucose tolerance and impaired fasting glucose) and explore the risk factors in an ethnic minority region, Guangxi Zhuang Autonomous Region, People's Republic of China. A population-based study enrolled 53,270 residents older than 5 years in Guangxi, People's Republic of China. The prevalence of diabetes was calculated using the 1999 World Health Organization (WHO) oral glucose tolerance test diagnostic criteria. Among 53,270 individuals, the prevalence of diabetes, impaired glucose tolerance, and impaired fasting glucose was 5.96%, 7.36%, and 2.62%, respectively. Of the 3,173 individuals with diabetes mellitus, 696 (21.94%) were found to have a history of diabetes and 2,477 (78.06%) were newly diagnosed. A lower prevalence was found in Zhuang ethnic minority people compared with the majority of Han people. The prevalence was significantly associated with age, body mass index, waist-to-hip ratio, dyslipidemia, medical history of hypertension, and family history of diabetes. Guangxi shows a rapidly rising prevalence of diabetes. Weight control and blood lipid control are important to decrease the rapidly increasing prevalence of diabetes in Guangxi, an ethnic minority region. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Other | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2016.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from Therapeutics and Clinical Risk Management
#810
of 1,323 outputs
Outputs of similar age
#179,684
of 312,602 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#33
of 62 outputs
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