Exploring direct and indirect predictors of heart disease information seeking

S. R. Hovick, N. Rhodes, E. Bigsby, S. Thomas, N. Freiberger

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Based on the integrative model of behavioral prediction, we examined predictors of heart disease information seeking. We also examined demographic and individual factors associated with seeking-related perceived norms, attitudes, and perceived behavioral control. Methods: Non-Hispanic White and Black participants, aged 45 and older, completed a cross sectional online survey (N = 383). Stepwise logistic and multiple linear regression models were tested to assess study hypotheses, as well as tests of indirect effects. Results: Perceived norms, attitudes and perceived behavioral control were positively associated with heart disease information seeking, but when controlling for distal variables only the perceived norm-behavior association remained significant (p <.05). Indirect effects of distal variables (race, heart disease risk, perceived heart disease susceptibility and information engagement orientation) on information seeking were also detected via perceived norms. Conclusions: Our results provide support for the integrative model as a framework for predicting information seeking, but further highlight the important role of distal predictors and perceived norms on heart disease seeking intentions. When communicating to promote heart disease information acquisition, communicators should pay particular attention to promoting information seeking as a normative behavior, particularly among those who perceive a lower risk of heart disease and who may be less engaged with health information more generally.

Original languageEnglish (US)
JournalJournal of Communication in Healthcare
DOIs
StateAccepted/In press - 2022

Keywords

  • attitudes
  • behavioral control perceived norms
  • heart diseases
  • Information seeking behavior

ASJC Scopus subject areas

  • Communication
  • Public Health, Environmental and Occupational Health
  • Health Information Management

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