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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors Affecting Hypertension among the Malaysian Elderly
|
|---|---|
| Published in |
Journal of Cardiovascular Development and Disease, March 2016
|
| DOI | 10.3390/jcdd3010008 |
| Pubmed ID | |
| Authors |
Sima Ataollahi Eshkoor, Tengku Aizan Hamid, Suzana Shahar, Chee Kyun Ng, Chan Yoke Mun |
| Abstract |
Hypertension is a common chronic disease in the elderly. This study aimed to determine the effects of age, ethnicity, gender, education, marital status, nutritional parameters, and blood elements on the risk of high blood pressure in the Malaysian elderly. This research was conducted on a group of 2322 non-institutionalized Malaysian elderly. The hierarchy binary logistic regression analysis was applied to estimate the risk of hypertension in respondents. Approximately, 45.61% of subjects had hypertension. The findings indicated that the female gender (Odds ratio (OR) = 1.54), an increase in body weight (OR = 1.61), and an increase in the blood levels of albumin (OR = 1.51), glucose (OR = 1.92), and triglycerides (OR = 1.27) significantly increased the risk of hypertension in subjects (p < 0.05). Conversely, an increase in both dietary carbohydrates (OR = 0.74), and blood cholesterol level (OR = 0.42) significantly reduced the risk of hypertension in samples (p < 0.05). Furthermore, the results showed that ethnicity was a non-relevant factor to increase the risk of hypertension in subjects. It was concluded that female gender, an increase in body weight, and an increase in the blood levels of glucose, triglycerides, and albumin enhanced the risk of high blood pressure in the Malaysian elderly. In addition, an increase in both dietary carbohydrates and blood cholesterol level decreased hypertension in subjects. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 181 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 63 | 35% |
| Student > Master | 28 | 15% |
| Student > Ph. D. Student | 8 | 4% |
| Researcher | 5 | 3% |
| Lecturer | 4 | 2% |
| Other | 16 | 9% |
| Unknown | 57 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 42 | 23% |
| Medicine and Dentistry | 30 | 17% |
| Agricultural and Biological Sciences | 6 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 30 | 17% |
| Unknown | 62 | 34% |
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 18 March 2016.
All research outputs
#15,364,458
of 22,856,968 outputs
Outputs from Journal of Cardiovascular Development and Disease
#340
of 601 outputs
Outputs of similar age
#177,192
of 298,626 outputs
Outputs of similar age from Journal of Cardiovascular Development and Disease
#6
of 14 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 601 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 30th percentile – i.e., 30% 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 298,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.