@article{HansenDendaleConinxetal.2017,
  author    = {Hansen, Dominique and Dendale, Paul and Coninx, Karin and Vanhees, Luc and Piepoli, Massimo F. and Niebauer, Josef and Cornelissen, Veronique and Pedretti, Roberto and Geurts, Eva and Ruiz, Gustavo R. and Corra, Ugo and Schmid, Jean-Paul and Greco, Eugenio and Davos, Constantinos H. and Edelmann, Frank and Abreu, Ana and Rauch, Bernhard and Ambrosetti, Marco and Braga, Simona S. and Barna, Olga and Beckers, Paul and Bussotti, Maurizio and Fagard, Robert and Faggiano, Pompilio and Garcia-Porrero, Esteban and Kouidi, Evangelia and Lamotte, Michel and Neunhaeuserer, Daniel and Reibis, Rona Katharina and Spruit, Martijn A. and Stettler, Christoph and Takken, Tim and Tonoli, Cajsa and Vigorito, Carlo and V{\"o}ller, Heinz and Doherty, Patrick},
  title     = {The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology},
  series = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  volume    = {24},
  journal   = {European journal of preventive cardiology : the official ESC journal for primary \& secondary cardiovascular prevention, rehabilitation and sports cardiology},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {2047-4873},
  doi       = {10.1177/2047487317702042},
  pages     = {1017 -- 1031},
  year      = {2017},
  abstract  = {Background Exercise rehabilitation is highly recommended by current guidelines on prevention of cardiovascular disease, but its implementation is still poor. Many clinicians experience difficulties in prescribing exercise in the presence of different concomitant cardiovascular diseases and risk factors within the same patient. It was aimed to develop a digital training and decision support system for exercise prescription in cardiovascular disease patients in clinical practice: the European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool. Methods EXPERT working group members were requested to define (a) diagnostic criteria for specific cardiovascular diseases, cardiovascular disease risk factors, and other chronic non-cardiovascular conditions, (b) primary goals of exercise intervention, (c) disease-specific prescription of exercise training (intensity, frequency, volume, type, session and programme duration), and (d) exercise training safety advices. The impact of exercise tolerance, common cardiovascular medications and adverse events during exercise testing were further taken into account for optimized exercise prescription. Results Exercise training recommendations and safety advices were formulated for 10 cardiovascular diseases, five cardiovascular disease risk factors (type 1 and 2 diabetes, obesity, hypertension, hypercholesterolaemia), and three common chronic non-cardiovascular conditions (lung and renal failure and sarcopaenia), but also accounted for baseline exercise tolerance, common cardiovascular medications and occurrence of adverse events during exercise testing. An algorithm, supported by an interactive tool, was constructed based on these data. This training and decision support system automatically provides an exercise prescription according to the variables provided. Conclusion This digital training and decision support system may contribute in overcoming barriers in exercise implementation in common cardiovascular diseases.},
  language  = {en}
}
@misc{HansenNiebauerCornelissenetal.2018,
  author    = {Hansen, Dominique and Niebauer, Josef and Cornelissen, Veronique and Barna, Olga and Neunhaeuserer, Daniel and Stettler, Christoph and Tonoli, Cajsa and Greco, Eugenio and Fagard, Robert and Coninx, Karin and Vanhees, Luc and Piepoli, Massimo F. and Pedretti, Roberto and Ruiz, Gustavo Rovelo and Corra, Ugo and Schmid, Jean-Paul and Davos, Constantinos H. and Edelmann, Frank and Abreu, Ana and Rauch, Bernhard and Ambrosetti, Marco and Braga, Simona Sarzi and Beckers, Paul and Bussotti, Maurizio and Faggiano, Pompilio and Garcia-Porrero, Esteban and Kouidi, Evangelia and Lamotte, Michel and Reibis, Rona Katharina and Spruit, Martijn A. and Takken, Tim and Vigorito, Carlo and V{\"o}ller, Heinz and Doherty, Patrick and Dendale, Paul},
  title     = {Exercise prescription in patients with different combinations of cardiovascular disease risk factors},
  series = {Sports medicine},
  volume    = {48},
  journal   = {Sports medicine},
  number    = {8},
  publisher = {Springer},
  address   = {Northcote},
  issn      = {0112-1642},
  doi       = {10.1007/s40279-018-0930-4},
  pages     = {1781 -- 1797},
  year      = {2018},
  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.},
  language  = {en}
}
@article{KhudairMarcuzziNgetal.2022,
  author    = {Khudair, Mohammed and Marcuzzi, Anna and Ng, Kwok and Tempest, Gavin Daniel and Bartoš, František and Peric, Ratko and Maier, Maximilian and Beccia, Flavia and Boccia, Stefania and Brandes, Mirko and Cardon, Greet and Carlin, Angela and Castagna, Carolina and Chaabene, Helmi and Chalkley, Anna and Ciaccioni, Simone and Cieślińska-Świder, Joanna and Čingienė, Vilma and Cortis, Cristina and Corvino, Chiara and de Geus, Eco J. C. and Di Baldassarre, Angela and Di Credico, Andrea and Drid, Patrik and Tarazaga, Rosa Ma Fern{\´a}ndez and Gall{\`e}, Francesca and S{\´a}nchez, Esther Garcia and Gebremariam, Mekdes and Ghinassi, Barbara and Goudas, Marios and Hayes, Grainne and Honorio, Samuel and Izzicupo, Pascal and Jahre, Henriette and Jelsma, Judith and Juric, Petra and Kolovelonis, Athanasios and Kongsvold, Atle and Kouidi, Evangelia and Mansergh, Fiona and Masanovic, Bojan and Mekonnen, Teferi and Mork, Paul Jarle and Murphy, Marie and O'Hara, Kelly and Torun, Ayse Ozbil and Palumbo, Federico and Popovic, Stevo and Prieske, Olaf and Puharic, Zrinka and Ribeiro, Jos{\´e} Carlos and Rumbold, Penny Louise Sheena and Sandu, Petru and Soric, Maroje and Stavnsbo, Mette and Syrmpas, Ioannis and van der Ploeg, Hidde P. and Van Hoye, Aur{\´e}lie and Vilela, Sofia and Woods, Catherine and Wunsch, Kathrin and Caprinica, Laura and MacDonncha, Ciaran and Ling, Fiona Chun Man},
  title     = {DE-PASS Best Evidence Statement (BESt): modifiable determinants of physical activity and sedentary behaviour in children and adolescents aged 5-19 years-a protocol for systematic review and meta-analysis},
  series = {BMJ open},
  volume    = {12},
  journal   = {BMJ open},
  number    = {9},
  publisher = {BMJ Publishing Group},
  address   = {London},
  organization    = {DE-PASS},
  issn      = {2044-6055},
  doi       = {10.1136/bmjopen-2021-059202},
  pages     = {8},
  year      = {2022},
  abstract  = {Introduction Physical activity among children and adolescents remains insufficient, despite the substantial efforts made by researchers and policymakers. Identifying and furthering our understanding of potential modifiable determinants of physical activity behaviour (PAB) and sedentary behaviour (SB) is crucial for the development of interventions that promote a shift from SB to PAB. The current protocol details the process through which a series of systematic literature reviews and meta-analyses (MAs) will be conducted to produce a best-evidence statement (BESt) and inform policymakers. The overall aim is to identify modifiable determinants that are associated with changes in PAB and SB in children and adolescents (aged 5-19 years) and to quantify their effect on, or association with, PAB/SB. Methods and analysis A search will be performed in MEDLINE, SportDiscus, Web of Science, PsychINFO and Cochrane Central Register of Controlled Trials. Randomised controlled trials (RCTs) and controlled trials (CTs) that investigate the effect of interventions on PAB/SB and longitudinal studies that investigate the associations between modifiable determinants and PAB/SB at multiple time points will be sought. Risk of bias assessments will be performed using adapted versions of Cochrane's RoB V.2.0 and ROBINS-I tools for RCTs and CTs, respectively, and an adapted version of the National Institute of Health's tool for longitudinal studies. Data will be synthesised narratively and, where possible, MAs will be performed using frequentist and Bayesian statistics. Modifiable determinants will be discussed considering the settings in which they were investigated and the PAB/SB measurement methods used. Ethics and dissemination No ethical approval is needed as no primary data will be collected. The findings will be disseminated in peer-reviewed publications and academic conferences where possible. The BESt will also be shared with policy makers within the DE-PASS consortium in the first instance. Systematic review registration CRD42021282874.},
  language  = {en}
}