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Predictors of perception of pregnancy risk among nulliparous women
Hamideh Bayrampour1, Maureen Heaman, Karen A Duncan
1Department of Pediatrics, University of Calgary, Alberta Centre for Child, Family & Community Research, Child Development Centre, 2888 Shaganappi Trail NW, Calgary, Alberta. hbayramp@ucalgary.ca
Objective:
To determine factors associated with perception of pregnancy risk using a conceptual framework based on a review of the relevant literature and the psychometric model of risk perception.
Design:
A correlational study.
Setting:
Ambulatory care and antepartum units of two tertiary hospitals and selected obstetricians' offices and prenatal classes in Winnipeg, Canada.
Participants:
A convenience sample of nulliparous women in their third trimester with a singleton pregnancy.
Methods:
Between December 2009 and January 2011, the following questionnaires were completed by 159 nulliparous women: the Perception of Pregnancy Risk Questionnaire, the Pregnancy-related Anxiety scale, Knowledge of Maternal Age-related Risks of Childbearing Questionnaire, the SF-12v2 Health Status Survey, the Multidimensional Health Locus of Control, and the Prenatal Scoring Form. Pearson's r correlations and stepwise multivariable linear regression analyses were conducted to achieve the research objectives.
Results:
Of the eight proposed factors in the conceptual framework, five factors were significant predictors of perception of pregnancy risk, including pregnancy-related anxiety, maternal age, medical risk, perceived internal control, and gestational age, accounting for 47% to 49% of the variance in risk perception. An interaction between the pregnancy-related anxiety score and maternal age was found.
Conclusions:
These results contribute to the literature on perception of pregnancy risk by identifying a new predictor (gestational age), supporting the role of previously known factors in the state of pregnancy, and proposing pregnancy-related anxiety as a pregnancy dread factor in risk perception theories. This knowledge may have implications for developing more effective risk communication models.
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