| Title |
Characteristics of High Risk People with Cardiovascular Disease in Chinese Rural Areas: Clinical Indictors, Disease Patterns and Drug Treatment
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0054169 |
| Pubmed ID | |
| Authors |
Xiaolin Wei, Guanyang Zou, Jia Yin, John Walley, Biao Zhou, Yunxian Yu, Linwei Tian, Kun Chen |
| Abstract |
Current cardiovascular disease (CVD) prevention is based on diagnosis and treatment of specific disease. Little is known for high risk people with CVD at the community level. In rural China, health records of all residents were established after the recent health reforms. This study aims to describe the characters of the rural population with high CVD risk regarding their clinical indicators, disease patterns, drug treatment and adherence. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 21% |
| Nursing and Health Professions | 7 | 10% |
| Agricultural and Biological Sciences | 6 | 9% |
| Social Sciences | 5 | 7% |
| Psychology | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 29 | 41% |