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Reducing salt intake for prevention of cardiovascular diseases in high-risk patients by advanced health education intervention (RESIP-CVD study), Northern Thailand: study protocol for a cluster…

Overview of attention for article published in Trials, September 2012
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Title
Reducing salt intake for prevention of cardiovascular diseases in high-risk patients by advanced health education intervention (RESIP-CVD study), Northern Thailand: study protocol for a cluster randomized trial
Published in
Trials, September 2012
DOI 10.1186/1745-6215-13-158
Pubmed ID
Authors

Myo Nyein Aung, Motoyuki Yuasa, Saiyud Moolphate, Supalert Nedsuwan, Hidehiro Yokokawa, Tsutomu Kitajima, Kazuo Minematsu, Susumu Tanimura, Hiroshi Fukuda, Yoshimune Hiratsuka, Koichi Ono, Sachio Kawai, Eiji Marui

Abstract

Decreasing salt consumption can prevent cardiovascular diseases (CVD). Practically, it is difficult to promote people's awareness of daily salt intake and to change their eating habits in terms of reducing salt intake for better cardiovascular health. Health education programs visualizing daily dietary salt content and intake may promote lifestyle changes in patients at high risk of cardiovascular diseases.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Australia 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 18%
Researcher 14 12%
Student > Bachelor 12 10%
Student > Ph. D. Student 11 9%
Other 7 6%
Other 25 22%
Unknown 26 22%
Readers by discipline Count As %
Medicine and Dentistry 46 40%
Nursing and Health Professions 13 11%
Social Sciences 6 5%
Agricultural and Biological Sciences 4 3%
Economics, Econometrics and Finance 3 3%
Other 13 11%
Unknown 31 27%