Developing a Questionnaire on Knowledge, Perceptions and Application of Vascular-Aging Measurements

Author:

Triantafyllou Areti1ORCID,Elia Stavria-Artemis2,Park Chloe3,Climie Rachel E4,Mayer Christopher C.5ORCID,Mozos Ioana6ORCID,Pucci Giacomo7ORCID,Weber Thomas8,Panayiotou Andrie G.2

Affiliation:

1. 3rd Clinic of Internal Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 56403 Thessaloniki, Greece

2. Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, 3041 Limassol, Cyprus

3. MRC Unit for Lifelong Health and Aging, UCL, London WC1E 6BT, UK

4. Menzies Institute for Medical Research, University of Tasmania, Hobart 7000, Australia

5. Medical Signal Analysis, Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria

6. Department of Functional Sciences-Pathophysiology, Center for Translational Research and Systems Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania

7. Department of Medicine and Surgery, University of Perugia, Unit of Internal Medicine, Terni University Hospital, 05100 Terni, Italy

8. Cardiology Department, Klinikum Wels-Grieskirchen, 4600 Wels, Austria

Abstract

Background: Vascular age (VA) is independent and chronological age for assessing cardiovascular disease (CVD) risk. However, tools for the implementation of VA are currently lacking. We aimed to develop a questionnaire to assess the current knowledge gaps related to VA and barriers to its implementation in routine practice. Methods: Using a stepwise mixed-method approach, a quantitative questionnaire was constructed in four phases: (1) basic item generation and the development of a semi-qualitative questionnaire (SQQ); (2) dissemination to the VascAgeNet extended network and an analysis of the semi-qualitative questionnaire responses; (3) the development of a quantitative questionnaire (QQ); and (4) an assessment of the content and face validity and internal reliability in an additional sample. Results: Based on six main topics initially identified through an expert panel, a SQQ was developed and disseminated. Finally, a 22-item QQ was developed, with questions grouped around three main themes: knowledge of VA and its risk factors; perceptions and beliefs regarding the importance and contribution of VA to risk classification; and the application of VA measurements in clinical and research practice and its potential limitations (Cronbach’s alpha between 0.920 and 0.982 for all three categories). Conclusion: We report the development of a QQ on VA addressed to both clinicians and non-clinicians aiming to assess their knowledge, perceptions and application of VA measurements.

Funder

European Cooperation in Science and Technology

Publisher

MDPI AG

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics

Reference26 articles.

1. (2022, July 06). WHO Health Topics—Cardiovascular Diseases. Available online: www.who.int/health-topics/cardiovascular-diseases.

2. (2021). SCORE2 risk prediction algorithms: New models to estimate 10-year risk of cardiovascular disease in Europe. Eur. Hear. J., 42, 2439–2454.

3. Predicted Versus Observed Major Adverse Cardiac Event Risk in Women With Evidence of Ischemia and No Obstructive Coronary Artery Disease: A Report From WISE (Women’s Ischemia Syndrome Evaluation);Sedlak;J. Am. Hear. Assoc.,2020

4. Cardiovascular disease risk prediction models: Challenges and perspectives;Farzadfar;Lancet Glob. Health,2019

5. Vascular age to determine cardiovascular disease risk: A systematic review of its concepts, definitions, and clinical applications;Groenewegen;Eur. J. Prev. Cardiol.,2015

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