1,252
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Cognitive and emotional reactions to pictorial-based risk communication on subclinical atherosclerosis: a qualitative study within the VIPVIZA trial

ORCID Icon, , &
Pages 69-80 | Received 26 May 2022, Accepted 06 Feb 2023, Published online: 28 Feb 2023

References

  • Kones R, Rumana U, Morales-Salinas A. Confronting the most challenging risk factor: non-adherence. Lancet. 2019;393(10167):105–106.
  • Studzinski K, Tomasik T, Krzyszton J, et al. Effect of using cardiovascular risk scoring in routine risk assessment in primary prevention of cardiovascular disease: an overview of systematic reviews. BMC Cardiovasc Disor. 2019;19:11.
  • French DP, Cameron E, Benton JS, et al. Can communicating personalised disease risk promote healthy behaviour change? A systematic review of systematic reviews. Ann Behav Med. 2017;51(5):718–729.
  • Hollands GJ, Hankins M, Marteau TM. Visual feedback of individuals’ medical imaging results for changing health behaviour. Cochrane Database Syst Rev. 2010;(1):CD007434. DOI: 10.1002/14651858.CD007434.pub2.
  • Rodondi N, Auer R, de Bosset Sulzer V, et al. Atherosclerosis screening by noninvasive imaging for cardiovascular prevention: a systematic review. J Gen Intern Med. 2012;27(2):220–231.
  • Athyros VG, Katsiki N, Karagiannis A, et al. High-intensity statin therapy and regression of coronary atherosclerosis in patients with diabetes mellitus. J Diabetes Complicat. 2015;29(1):142–145.
  • Yeboah J, McClelland RL, Polonsky TS, et al. Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. J Am Med Assoc. 2012;308(8):788–795.
  • Piepoli MF, Hoes AW, Agewall S, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice: the sixth joint task force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of 10 societies and by invited experts) developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J. 2016;37(29):2315–2381.
  • Naslund U, Ng N, Lundgren A, et al. Visualization of asymptomatic atherosclerotic disease for optimum cardiovascular prevention (VIPVIZA): a pragmatic, open-label, randomised controlled trial. Lancet. 2019;393(10167):133–142.
  • Bengtsson A, Lindvall K, Norberg M, et al. Increased knowledge makes a difference! - general practitioners’ experiences of pictorial information about subclinical atherosclerosis for primary prevention: an interview study from the VIPVIZA trial. Scand J Prim Health Care. 2021;39(1):77–84.
  • Bengtsson A, Norberg M, Ng N, et al. The beneficial effect over 3 years by pictorial information to patients and their physician about subclinical atherosclerosis and cardiovascular risk: results from the VIPVIZA randomized clinical trial. Am J Prev Cardiol. 2021;7:100199.
  • Norberg M, Wall S, Boman K, et al. The Vasterbotten Intervention Programme: background, design and implications. Glob Health Action. 2010;3:4643.
  • Norberg M, Blomstedt Y, Lonnberg G, et al. Community participation and sustainability–evidence over 25 years in the Vasterbotten Intervention Programme. Glob Health Action. 2012;5:19166.
  • Cohen D, Brabtree B. Qualitative research guidelines project. Available from: http://www.qualres.org/HomeNega-3694.html
  • Graneheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004;24(2):105–112.
  • ICT Service and System Development and Division of Epidemiology and Global Health. OpenCode4. Umeå: University of Umeå; 2018. Available from: http://www.umu.se/en/department-of-epidemiology-and-global-health/research/opencode2
  • Conner M, Norman P. Predicting health behaviour: a social cognition approach. In: Conner M, Norman P, editors. Predicting health behaviour. New York (NY): Open University Press; 2005. p. 1–27.
  • DeSteno D, Gross JJ, Kubzansky L. Affective science and health: the importance of emotion and emotion regulation. Health Psychol. 2013;32(5):474–486.
  • Kiviniemi MT, Ellis EM, Hall MG, et al. Mediation, moderation, and context: understanding complex relations among cognition, affect, and health behaviour. Psychol Health. 2018;33(1):98–116.
  • Suls J, Mogavero JN, Falzon L, et al. Health behaviour change in cardiovascular disease prevention and management: meta-review of behaviour change techniques to affect self-regulation. Health Psychol Rev. 2020;14(1):43–65.
  • Carver CS, Scheier MF, Weintraub JK. Assessing coping strategies: a theoretically based approach. J Pers Soc Psychol. 1989;56(2):267–283.
  • Lazarus RS, Folkman S. Stress, appraisal, and coping. New York (NY): Springer Publishing; 1984.
  • Witte K. Putting the fear back to fear appeals: the extended parallel process model. Comm Monographs. 1992;59(4):329–349.
  • Goldman RE, Parker DR, Eaton CB, et al. Patients’ perceptions of cholesterol, cardiovascular disease risk, and risk communication strategies. Ann Fam Med. 2006;4(3):205–212.
  • Schubbe D, Scalia P, Yen RW, et al. Using pictures to convey health information: a systematic review and meta-analysis of the effects on patient and consumer health behaviors and outcomes. Patient Educ Couns. 2020;103(10):1935–1960.
  • Bonner C, Batcup C, Cornell S, et al. Interventions using heart age for cardiovascular disease risk communication: systematic review of psychological, behavioral, and clinical effects. JMIR Cardio. 2021;5(2):e31056.
  • Brown SL, McRae D, Sheils E, et al. The effect of visual interventions on illness beliefs and medication adherence for chronic conditions: a scoping review of the literature and mapping to behaviour change techniques (BCTs). Res Social Adm Pharm. 2022;18(8):3239–3262.