| Title |
Exercise Prescription in Patients with Different Combinations of Cardiovascular Disease Risk Factors: A Consensus Statement from the EXPERT Working Group
|
|---|---|
| Published in |
Sports Medicine, May 2018
|
| DOI | 10.1007/s40279-018-0930-4 |
| Pubmed ID | |
| Authors |
Dominique Hansen, Josef Niebauer, Veronique Cornelissen, Olga Barna, Daniel Neunhäuserer, Christoph Stettler, Cajsa Tonoli, Eugenio Greco, Robert Fagard, Karin Coninx, Luc Vanhees, Massimo F. Piepoli, Roberto Pedretti, Gustavo Rovelo Ruiz, Ugo Corrà, Jean-Paul Schmid, Constantinos H. Davos, Frank Edelmann, Ana Abreu, Bernhard Rauch, Marco Ambrosetti, Simona Sarzi Braga, Paul Beckers, Maurizio Bussotti, Pompilio Faggiano, Esteban Garcia-Porrero, Evangelia Kouidi, Michel Lamotte, Rona Reibis, Martijn A. Spruit, Tim Takken, Carlo Vigorito, Heinz Völler, Patrick Doherty, Paul Dendale |
| Abstract |
Whereas exercise training is key in the management of patients with cardiovascular disease (CVD) risk (obesity, diabetes, dyslipidaemia, hypertension), clinicians experience difficulties in how to optimally prescribe exercise in patients with different CVD risk factors. Therefore, a consensus statement for state-of-the-art exercise prescription in patients with combinations of CVD risk factors as integrated into a digital training and decision support system (the EXercise Prescription in Everyday practice & Rehabilitative Training (EXPERT) tool) needed to be established. EXPERT working group members systematically reviewed the literature for meta-analyses, systematic reviews and/or clinical studies addressing exercise prescriptions in specific CVD risk factors and formulated exercise recommendations (exercise training intensity, frequency, volume and type, session and programme duration) and exercise safety precautions, for obesity, arterial hypertension, type 1 and 2 diabetes, and dyslipidaemia. The impact of physical fitness, CVD risk altering medications and adverse events during exercise testing was further taken into account to fine-tune this exercise prescription. An algorithm, supported by the interactive EXPERT tool, was developed by Hasselt University based on these data. Specific exercise recommendations were formulated with the aim to decrease adipose tissue mass, improve glycaemic control and blood lipid profile, and lower blood pressure. The impact of medications to improve CVD risk, adverse events during exercise testing and physical fitness was also taken into account. Simulations were made of how the EXPERT tool provides exercise prescriptions according to the variables provided. In this paper, state-of-the-art exercise prescription to patients with combinations of CVD risk factors is formulated, and it is shown how the EXPERT tool may assist clinicians. This contributes to an appropriately tailored exercise regimen for every CVD risk patient. |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 11% |
| Spain | 4 | 11% |
| Colombia | 3 | 9% |
| Belgium | 3 | 9% |
| Luxembourg | 2 | 6% |
| Canada | 2 | 6% |
| Israel | 1 | 3% |
| New Zealand | 1 | 3% |
| Greece | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 60% |
| Scientists | 8 | 23% |
| Science communicators (journalists, bloggers, editors) | 3 | 9% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 482 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 73 | 15% |
| Student > Master | 58 | 12% |
| Researcher | 46 | 10% |
| Student > Ph. D. Student | 28 | 6% |
| Other | 20 | 4% |
| Other | 87 | 18% |
| Unknown | 170 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 96 | 20% |
| Nursing and Health Professions | 73 | 15% |
| Sports and Recreations | 59 | 12% |
| Social Sciences | 10 | 2% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Other | 46 | 10% |
| Unknown | 189 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 24 February 2023.
All research outputs
#1,652,943
of 25,369,304 outputs
Outputs from Sports Medicine
#1,250
of 2,872 outputs
Outputs of similar age
#34,982
of 339,838 outputs
Outputs of similar age from Sports Medicine
#22
of 41 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,872 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.9. This one has gotten more attention than average, scoring higher than 56% of its peers.
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