1,721,579 research outputs found

    Exercise training in diabetes

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    Type 2 diabetes mellitus (T2DM) is a growing epidemic carrying an important risk of micro- and macrovascular disease.1 Multiple studies have demonstrated that exercise training has a favourable effect on metabolic parameters, such as insulin sensitivity and lipid profile, and on endothelial function.1,2 These metabolic parameters and endothelial dysfunction are important for the development of coronary artery disease and stroke.3 Kemps et al.4 reviewed the literature on the role of different exercise modalities for different targets in cardiovascular prevention in patients with T2DM (Figure 1).The author(s) received no financial support for the research, authorship, and/or publication of this article

    Non-alcoholic fatty liver disease, a new and growing risk indicator for cardiovascular disease

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    Janssen, A (reprint author), Jessa Hosp, Clin Res Dept Cardiol, Heartctr Hasselt, Stadsomvaart 11, B-3500 Hasselt, Belgium. [email protected]

    Motorcycles as high-noise emitters, air polluters and cardiovascular threats: time to regulate the risks

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    Acknowledgements T.M. is supported by the Foundation Heart of Mainz and by the Mainzer Wissenschaftsstiftung. He is also P.I. of the German Cardiovascular Research Centre (Partner Site Rhine_Main)

    Patient experiences and willingness-to-pay for cardiac telerehabilitation during the first surge of the COVID-19 pandemic: single-centre experience

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    Background The first surge of the ongoing COVID-19 pandemic led to a shutdown of all non-urgent medical services such as cardiac rehabilitation. Therefore, centres had to develop remote and innovative ways to deliver the core components of CR during this shutdown. This increase in usage of remote rehabilitation services provides a chance to assess patients' experiences and willingness-to-pay of remote CR sessions. Methods This was a prospective single-centre study. From 17 July 2020, to 19 August 2020, we conducted an anonymous survey about the patient experiences of the cardiac telerehabilitation services provided at Jessa Hospital Hasselt during the COVID-19 pandemic. A link to an electronic questionnaire was sent via email to 155 patients who were invited to participate in the cardiac telerehabilitation sessions during the closure of the rehabilitation centre due to COVID-19. Results Fifty-five patients (35% of all invited patients) did participate in remote CR and completed the questionnaire. The mean age of the respondents was 65.4 +/- 10.5 years, 63% were male and 70% of the participants were retired. A total of 91% possessed a smartphone and all those patients used their smartphone regularly to send text messages. Ninety-four per cent of the participants were satisfied with the provided telerehabilitation sessions and 70% of the participants would be prepared to pay for these sessions like for centre-based CR sessions. Twenty per cent of patients would even prefer the telerehabilitation sessions above centre-based CR sessions. Conclusion Most patients believed that remote CR could be an option after the COVID-19 pandemic when it is combined with centre-based CR sessions. Patients are willing to pay the same amount for a telerehabilitation session as a centre-based CR session. This demonstrates that highly motivated patients are open to shift certain parts of CR from face-to-face interactions to digital interactions.Scherrenberg, M (corresponding author), Jessa Ziekenhuis, Stadsomvaart 11, Hasselt, Belgium. [email protected]

    Investigating Motivations and Patient Profiles for Personalization of Health Applications for Behaviour Change

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    Personalization is a key aspect when developing applications targeting health behaviour change. However, the use of personalized mobile interventions for lifestyle behaviour is still in its infancy. Based on our former research on mobile applications to support cardiac patients in health behaviour change, we identified four key motivations to enhance the personalization offered in applications targeting health behaviour change. In this paper, we propose a mixed-methods approach, using both qualitative and quantitative data collected in prior studies, to apply personalization in the design of health applications. Our approach consists of five steps: 1) collecting data for personalization, 2) detecting patient profiles using clustering methods, 3) understanding patient profiles using a graph-ical representation, 4) describing patient profiles using personas, and 5) personalizing a health application according to patient profiles. One of the major strengths of our approach is that it combines established HCI techniques such as personas and data visualization techniques with methods from big data analytics and artificial intelligence to identify ways to personalize health applications. We conclude by presenting future directions to apply personalization in the domain of health technologies.This research was funded by the Special Research Fund (BOF) of Hasselt University (BOF18DOC26) and the EU funded project H2020 IA CoroPrevention (848056)

    The digital profile of cardiac patients anno 2021

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    Type of funding sources: Public grant(s) – EU funding. Main funding source(s): EU funded project H2020 IA CoroPrevention,Special Research Fund (BOF) of Hasselt UniversityH2020 IA CoroPrevention (848056)

    Prevention: From the cradle to the grave and beyond

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    Present cardiac prevention mainly focuses on risk reduction later in life, and focuses also mainly on reducing risk factors for coronary heart disease. However, multiple studies have gathered evidence that the development risk of cardiovascular disease starts early in life and that even preconceptional influences play an important role in lifetime risk. Therefore, the importance of well-timed prevention strategies to reduce cardiovascular disease is well established. In this article, we discuss different risk factors for future cardiac disease, and how we can respond to lesser known cardiac risk factors in the different stages of life.The author(s) received no financial support for the research, authorship and/or publication of this article
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