Predictors of health behavior compliance for the prevention of Covid-19 based on the extended parallel process model in pregnant women in Iran.

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  • Additional Information
    • Source:
      Publisher: Routledge Country of Publication: England NLM ID: 8411543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-4665 (Electronic) Linking ISSN: 07399332 NLM ISO Abbreviation: Health Care Women Int
    • Publication Information:
      Publication: 2005- : London : Routledge
      Original Publication: Washington, D.C. : Hemisphere Pub. Corp., c1984-
    • Subject Terms:
    • Abstract:
      Pregnant women are at higher risk of getting severe Covid-19 disease and consequences on the health status of them and their fetuses. Despite vaccination, all preventive behaviors are emphasized. This study aimed to identify the determinants of Covid-19 preventive health behaviors in pregnant women using Extended Parallel Process Model. This cross-sectional study, was conducted on 175pregnant women. The model fit indices were acceptable. Knowledge had indirect effect on adherence to Covid-19 preventive behaviors trough mediating role of self-efficacy and response efficacy. So, it is suggested that, educational interventions should focus on increasing knowledge.
    • Contributed Indexing:
      Local Abstract: [plain-language-summary] There were statistically significant correlations between all constructs of the EPPM model except knowledge, with adherence to Covid-19 preventive behaviors.Self-efficacy and response efficacy were the strongest predictors of Covid-19 prevention behaviorsPerceived susceptibility and severity were the other significant predictors of Covid-19 preventive behaviors.Knowledge indirectly through the mediating role of response efficiency and self-efficacy effected on preventive behaviors.
    • Publication Date:
      Date Created: 20230228 Date Completed: 20231102 Latest Revision: 20231114
    • Publication Date:
      20231215
    • Accession Number:
      10.1080/07399332.2023.2181349
    • Accession Number:
      36854007