Validation study evaluates maternal functioning in postpartum women, suggesting a reliable assessment tool for clinical use.
Maternal functioning is a multidimensional construct encompassing a mother's physical, psychological, and social well-being after childbirth.Despite its importance, few validated tools exist in Korea to assess postpartum adaptation beyond traditional role-based functioning.This study aimed to validate the Korean version of the Barkin Index of Maternal Functioning (K-BIMF) among primiparous women within one year postpartum, and to evaluate its reliability and construct validity.This methodological study included 205 primiparous women recruited from obstetric clinics.The K-BIMF, based on the 18-item version of the original Barkin Index, was translated and culturally adapted using World Health Organization guidelines.Content validity was evaluated by experts.Construct validity was assessed through confirmatory factor analysis (CFA), and convergent and discriminant validity were examined using the Inventory of Functional Status After Childbirth (IFSAC) and the Edinburgh Postnatal Depression Scale (EPDS).Internal consistency was measured using Cronbach's .CFA confirmed a two-factor structure (Mom's Competency and Mom's Needs) with good model fit indices (comparative fit index = .97,root mean square error of approximation = .05).All items showed adequate standardized factor loadings ( = .62-.79), AVE values exceeded .50, and construct reliability values exceeded .70.The K-BIMF demonstrated significant positive correlations with IFSAC and negative correlations with EPDS, supporting convergent validity.Cronbach's was .90overall, with .92 for Mom's Competency and .88 for Mom's Needs.The K-BIMF is a valid and reliable instrument for evaluating maternal functioning among Korean postpartum women.It offers a culturally relevant, multidimensional perspective on postpartum adjustment and can aid in identifying mothers in need of psychosocial support, guiding intervention strategies in clinical and community settings.
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Minkyung Ban (2026) studied this question.
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