The Factor Structure and Psychometric Properties of the Persian Version of the Revised Prenatal Coping Inventory (Nu-PCI)
Journal Title: Journal of Clinical and Diagnostic Research - Year 2017, Vol 11, Issue 3
Abstract
Introduction: Familiarity with coping strategies is essential for stress management during pregnancy. The Revised Prenatal Coping Inventory (Nu-PCI) was developed to assess coping strategies during pregnancy. Aim: This study aimed to assess the factor structure and psychometric properties of the Persian version of the Nu-PCI. Materials and Methods: After forward-backward translation, the Nu-PCI was administered to 210 pregnant women who were enrolled in two teaching referral clinics in the North of the Islamic Republic of Iran (Babol). The participants completed the Persian Nu-PCI and Ways of Coping Questionnaire (WCQ), which was used to determine the validity of the Persian NuPCI. To test construct validity of the Persian Nu-PCI, a principal components factor analysis was performed. Results: Principal components analysis with varimax rotation showed a best fitting 3-factor structure similar to the original with three coping subscales: planning-preparation, avoidance, and spiritual-positive coping. The Persian Nu-PCI was internally consistent and within the acceptable range (α=0.89–0.97). The alpha coefficients for the Nu-PCI and the subscales of planningpreparation, avoidance, and spiritual-positive coping were high. Test-retest coefficients for the Nu-PCI and subscales were 0.98–0.99. The Nu-PCI and its subscales correlated with the WCQ in the entire sample and within each trimester. Conclusion: The Persian version of the Nu-PCI and the subscales of planning-preparation, avoidance, and spiritualpositive coping represent the first reliable standardized tool for measuring coping strategies during pregnancy in the Islamic Republic of Iran. Therefore, it can be applied as a quick and accurate preliminary screening tool for evaluating coping strategies throughout pregnancy in clinics and other medical and research settings.
Authors and Affiliations
Mahbobeh Faramarzi, Hajar Pasha, Sorayya Khafri, Shima Heidary
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