Predicting Exclusive Breastfeeding among Iranian Mothers: Application of the Theory of Planned Behavior Using Structural Equation Modeling
Metadatos
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WOLTERS KLUWER MEDKNOW PUBLICATIONS
Materia
Behavior Breastfeeding Intention latent class analysis Iran
Fecha
2020Referencia bibliográfica
Bajoulvand R, González-Jiménez E, Imani‑Nasab MH, Ebrahimzadeh F. Predicting exclusive breastfeeding among Iranian mothers: Application of the theory of planned behavior using structural equation modeling. Iranian J Nursing Midwifery Res 2019;24:323-9. [DOI: 10.4103/ijnmr.IJNMR_164_18]
Patrocinador
Lorestan University of Medical SciencesResumen
Background: Identifying the factors that lead to the beginning, continuing, or stopping the
Exclusive Breastfeeding (EBF) by mothers can be of great assistance in the design of interventions
to strengthen this behavior. The aim of this study was to predict EBF among mothers with Infants
Less than Six Months of Age (ILSMA) according to the Theory of Planned Behavior (TPB).
Materials and Methods: The study was a cross‑sectional one that conducted among 304 mothers
with ILSMA in Khorramabad‑Iran in 2017 using Structural Equation Modeling (SEM). The sampling
method was a combination of census, stratified random, and systematic random sampling. The data
collection tool was a contextualized, valid, and reliable questionnaire according to the TPB. Data
were collected by a trained interviewer. Data were analyzed using SPSS‑16 and AMOS‑20 software
programs and SEM. Results: Perceived Behavioral Control (PBC) could explain 65% of mothers’
EBF intention. Intention and PBC were able to predict 79% of the variance in EBF together. The
fitness indices of EBF model in the current study were acceptable (RMSEA = 0.07, CMIN/DF = 2.58,
NFI = 0.81, CFI = 0.87, and GFI = 0.83). Conclusions: TPB is an appropriate model for predicting
the intention and behavior of EBF. Policy makers and health system managers are recommended for
taking some measures to add a standardized questionnaire in the electronic health record to predict
EBF according to TPB of pregnant women and mothers with ILSMA. In this way, they can empower
primary healthcare providers to design and implement a theory‑based interventional plan.