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Total cardiovascular risk for next 10 years among rural population of Nepal using WHO/ISH risk prediction chart

Overview of attention for article published in BMC Research Notes, March 2017
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2 tweeters

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2 Dimensions

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32 Mendeley
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Title
Total cardiovascular risk for next 10 years among rural population of Nepal using WHO/ISH risk prediction chart
Published in
BMC Research Notes, March 2017
DOI 10.1186/s13104-017-2436-9
Pubmed ID
Authors

Mahesh Kumar Khanal, M. S. A. Mansur Ahmed, Mohammad Moniruzzaman, Palash Chandra Banik, Raja Ram Dhungana, Pratiksha Bhandari, Surya Devkota, Arun Shayami

Abstract

Cardiovascular diseases (CVD) are the leading cause of morbidity and mortality globally. Primary prevention of CVD based on total CVD risk approach using WHO/ISH risk prediction chart would be more effective to stratify population under different risk levels, prioritize and utilize the scarce resources of low and middle-income countries. This study estimated total 10-year CVD risk and determined the proportion of population who need immediate drug therapy among the rural population of Nepal. A community based cross-sectional study conducted among 345 participants aged 40-80 years in rural villages of Lamjung District of Nepal. They were selected randomly from total eighteen wards. Data were collected using WHO STEPS questionnaires. WHO/ISH risk prediction chart for SEAR D was used to estimate total cardiovascular risk. Chi-square and independent t-test were used to test significance at the level of p < 0.05 in SPSS version 16.0. Of the total participants, 55.4% were female. The mean age (standard deviation) of the participants was 53.5 ± 10.1 years. According to WHO/ISH chart proportions of low, moderate and high CVD risk were 86.4%, 9.3%, and 4.3%, respectively. Eleven percent of participants were in need of immediate pharmacotherapy. Age (p = 0.001), level of education (p = 0.01) and occupation (p = 0.001) were significantly associated with elevated CVD risk. A large proportion of Nepalese rural population is at moderate and high CVD risk. Immediate pharmacological interventions are warranted for at least one in every ten individuals along with lifestyle interventions. Both population-wise and high-risk approaches are required to minimize CVD burden in the future.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 31%
Student > Master 5 16%
Researcher 4 13%
Student > Postgraduate 3 9%
Student > Bachelor 3 9%
Other 7 22%
Readers by discipline Count As %
Unspecified 14 44%
Medicine and Dentistry 11 34%
Biochemistry, Genetics and Molecular Biology 2 6%
Environmental Science 1 3%
Business, Management and Accounting 1 3%
Other 3 9%

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 16 March 2017.
All research outputs
#5,135,700
of 9,723,582 outputs
Outputs from BMC Research Notes
#1,119
of 2,406 outputs
Outputs of similar age
#133,624
of 256,494 outputs
Outputs of similar age from BMC Research Notes
#24
of 35 outputs
Altmetric has tracked 9,723,582 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,406 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 256,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.