Maternal and Child Nutrition (Apr 2023)

Predictive factors of exclusive breastfeeding attrition at Week 6 post‐partum among mothers of preterm infants based on the theory of planned behaviour

  • Rong Huang,
  • Yue Wan,
  • Xiao Yao,
  • Hao Wang,
  • Chen‐ting Cai,
  • Yi‐ting Xu,
  • Hui Jiang

DOI
https://doi.org/10.1111/mcn.13470
Journal volume & issue
Vol. 19, no. 2
pp. n/a – n/a

Abstract

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Abstract Breastfeeding plays an important role in the growth and development of preterm infants, and exclusive breastfeeding (EBF) in the first 6 weeks post‐partum is the key to continuous breastfeeding. This study was designed to explore the influencing factors that contribute to breastfeeding attrition among mothers of preterm infants at Week 6 post‐partum based on the theory of planned behaviour (TPB). We herein adopted a prospective observational study design in which 97 mothers who exclusively breastfed at Week 6 post‐partum at a tertiary specialised hospital in Shanghai from June 2021 to February 2022 were taken as the EBF group, and 179 mothers without EBF were assigned to the EBF attrition group. Through an extensive literature review and expert consultation, we determined the possible factors influencing EBF attrition, analysed those factors that showed statistical significance in our univariate analysis by applying binary logistic regression, and constructed a nomogram model for predicting EBF attrition. The results revealed that negative breastfeeding sentiment (odds ratio [OR] = 1.006; 95% confidence interval [CI], 1.000–1.011) generated a greater risk of breastfeeding attrition. However, positive breastfeeding sentiment (OR = 0.991; 95% CI, 0.983–0.999), social and professional support (OR = 0.993; 95% CI, 0.987–0.999), breastfeeding control (OR = 0.945; 95% CI, 0.896–0.996), knowledge (OR = 0.893; 95% CI, 0.799–0.998), and intention to EBF at Week 6 post‐partum (OR = 0.522; 95% CI, 0.276–0.988) were the protective factors and facilitated the development of our nomogram model. The Hosmer–Lemeshow goodness‐of‐fit test generated a χ2 value of 11.344 (p = 0.183) and an area under the curve of 0.822 (95% CI, 0.771–0.873). The C‐index was 0.800 in the internal bootstrap validation, indicating that the nomogram model possessed favourable predictive accuracy and discrimination.

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