IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i8p2919-d349330.html
   My bibliography  Save this article

The TTCYB Study Protocol: A Tailored Print Message Intervention to Improve Cardiovascular Patients’ Lifestyles

Author

Listed:
  • Marco D’Addario

    (Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy)

  • Erika Rosa Cappelletti

    (Health Promotion Division, Agenzia Tutela Salute Milano, 20129 Milan, Italy)

  • Marcello Sarini

    (Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy)

  • Andrea Greco

    (Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy)

  • Patrizia Steca

    (Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy)

Abstract

This article describes the development of the “Time to Change Your Behavior” (TTCYB) study protocol, a theory-based, tailored print message intervention to improve compliance with the self-care regimen in patients with cardiovascular diseases. A design with a baseline measurement and two follow-ups at six and 12 months will be applied. At baseline and the six-month follow-up, patients will complete self-report questionnaires evaluating lifestyle habits and socio-demographic and psychological variables; at the 12-month follow-up, patients will answer a telephone interview assessing lifestyle habits. After the baseline measurement, patients will be randomized into one of three groups: (1) the tailored group, which will receive tailored health brochures; (2) the “non-tailored” group, which will receive non-tailored health brochures; or (3) the usual care group, which will receive no print information materials. The effectiveness of the intervention will be assessed through patients’ judgments of the brochures and changes in lifestyle. The role of socio-demographic and psychological variables as potential moderators of the materials’ effectiveness will be explored. If the TTCYB is efficacious, it will have implications for the design and implementation of tailored communication programs. Concepts from this study can be potentially extended to primary prevention among high-risk groups.

Suggested Citation

  • Marco D’Addario & Erika Rosa Cappelletti & Marcello Sarini & Andrea Greco & Patrizia Steca, 2020. "The TTCYB Study Protocol: A Tailored Print Message Intervention to Improve Cardiovascular Patients’ Lifestyles," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2919-:d:349330
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/8/2919/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/8/2919/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reuter, Christian & Kaufhold, Marc-André & Schmid, Stefka & Spielhofer, Thomas & Hahne, Anna Sophie, 2019. "The impact of risk cultures: Citizens' perception of social media use in emergencies across Europe," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Izabela Gąska & Katarzyna Sygit & Elżbieta Cipora & Marian Sygit & Anna Pacian & Maryna Surmach & Dorota Kaleta & Adam Rzeźnicki, 2021. "Assessment of the Health Behaviours and Value-Based Health Analysis of People Aged 50+ Who Were Hospitalized Due to Cardiovascular Disease," IJERPH, MDPI, vol. 18(8), pages 1-23, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefano Morelli & Veronica Pazzi & Olga Nardini & Sara Bonati, 2022. "Framing Disaster Risk Perception and Vulnerability in Social Media Communication: A Literature Review," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    2. Wu, Zhonghuan & Duan, Chunlin & Cui, Yuting & Qin, Rong, 2023. "Consumers' attitudes toward low-carbon consumption based on a computational model: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2919-:d:349330. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.