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

HEALTH education; STATISTICS; STRUCTURAL equation modeling; COVID-19; SOCIAL determinants of health; HUMAN research subjects; CROSS-sectional method; ONE-way analysis of variance; MULTIVARIATE analysis; MULTIPLE regression analysis; PREGNANT women; REGRESSION analysis; INFORMED consent (Medical law); SELF-efficacy; T-test (Statistics); PEARSON correlation (Statistics); HEALTH behavior; QUESTIONNAIRES; SCALE analysis (Psychology); DESCRIPTIVE statistics; RESEARCH funding; PATIENT compliance; STATISTICAL sampling; SOCIODEMOGRAPHIC factors; DATA analysis software; DATA analysis; PROBABILITY theory

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. 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 behaviors Perceived 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 [ABSTRACT FROM AUTHOR]

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