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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of uncontrolled dyslipidaemia among adult type 2 diabetes in Malaysia: The Malaysian Diabetes Registry 2009
|
|---|---|
| Published in |
Diabetes Research & Clinical Practice, February 2012
|
| DOI | 10.1016/j.diabres.2012.01.017 |
| Pubmed ID | |
| Authors |
Boon How Chew, Mastura Ismail, Ping Yein Lee, Sri Wahyu Taher, Jamaiyah Haniff, Feisul Idzwan Mustapha, Mohd Adam Bujang |
| Abstract |
Numerous studies with compelling evidence had shown a clear relationship between dyslipidaemia and cardiovascular (CV) events in patients with diabetes mellitus. This was an observational study based on secondary data from the online registry database Adult Diabetes Control and Management (ADCM) looking into the determinants of uncontrolled dyslipidaemia in type 2 diabetes mellitus patients. Independent predictors were identified using multivariate logistic regression. A total of 303 centres (289 health clinics, 14 hospitals) contributed a total of 70,889 patients (1972 or 2.8% patients were from hospital). About thirty eight percent were reported to have dyslipidaemia. There were 40.7% patients on lipid-lowering agents and of those above age 40 years old, only 38.1% of them were on a statin. Malay ethnicity and younger age groups (<50 years old) were two major determinants of uncontrolled LDL-C, TG and HDL-C. Female gender and uncontrolled blood pressure were determinants of uncontrolled LDL-C, and poor glycaemic control was related independently to high TG. This study has highlighted the suboptimal management of diabetic dyslipidaemia in Malaysia. Pharmacological treatment of dyslipidaemia could be more effective. Healthcare stakeholders in this country, especially in the primary care, have to recognize these shortfalls and take immediate remedial measures. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | 2% |
| Denmark | 1 | 1% |
| Unknown | 97 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 18% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Postgraduate | 13 | 13% |
| Student > Bachelor | 8 | 8% |
| Unspecified | 7 | 7% |
| Other | 24 | 24% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 38% |
| Unspecified | 7 | 7% |
| Agricultural and Biological Sciences | 6 | 6% |
| Social Sciences | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 20 | 20% |
| Unknown | 20 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 June 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Diabetes Research & Clinical Practice
#2,225
of 3,191 outputs
Outputs of similar age
#172,912
of 253,553 outputs
Outputs of similar age from Diabetes Research & Clinical Practice
#19
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.