The Turkish version of the breastfeeding attrition prediction tool

Can Willingness to Breastfeed Be an Opportunity for Smoking Pregnant Women to Quit Smoking?

PURPOSE

Smoking during pregnancy and/or not breastfeeding have considerable negative health outcomes for the mother and infant. This descriptive and cross-sectional study determined the relationship between the prediction of smoking cessation success in pregnant women and their breastfeeding attrition prediction during lactation. The other aim of the study was to determine the predictor of smoking cessation success and the factors affecting breastfeeding attrition prediction.

METHODS

The present study was conducted with 131 smoking pregnant women. Data were collected using the Personal Information Form, the Smoking Cessation Success Prediction Scale, and the Breastfeeding Attrition Prediction Tool.

RESULTS

A statistically significant and positive correlation was revealed between the Smoking Cessation Success Prediction Scale and the positive breastfeeding attitude (r = 0.349, P < .01). Of the change in positive breastfeeding attitudes, 14.7% was explained by the prediction of smoking cessation success (adjusted R2 = 0.147).

CONCLUSION

The study revealed that the prediction of smoking cessation success increased with an increase in the positive breastfeeding attitude of smoking pregnant women.

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

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.

Breastfeeding assessment instruments and their use in clinical practice

Objectives

To identify breastfeeding assessment tools, their application in clinical practice, and their validation and cross-cultural adaptation.

Method

This is an integrative review of literature obtained from six databases and an online library, conducted from August 2014 to December 2015, without a temporal delimitation.

Results

We identified 19 assessment tools, of which 12 were validated and five were cross-culturally adapted. In terms of adaptation, the tools were used to assess the risk of early weaning (BAPT) and the perception/behaviour of mothers during nursing (BSES-SF and IIFAS).

Conclusions

The identification of the available instruments and their indications for breastfeeding assessments can help health workers choose the ideal instrument, and qualify maternal and child care.

A Critical Review of Instruments Measuring Breastfeeding Attitudes, Knowledge, and Social Support

BACKGROUND

Breastfeeding provides beneficial health outcomes for infants and their mothers, and increasing its practice is a national priority in many countries. Despite increasing support to exclusively breastfeed, the prevalence at 6 months remains low. Breastfeeding behavior is influenced by a myriad of determinants, including breastfeeding attitudes, knowledge, and social support. Effective measurement of these determinants is critical to provide optimal support for women throughout the breastfeeding period. However, there are a multitude of available instruments measuring these constructs, which makes identification of an appropriate instrument challenging. Research aim: Our aim was to identify and critically examine the existing instruments measuring breastfeeding attitudes, knowledge, and social support.

METHODS

A total of 16 instruments was identified. Each instrument's purpose, theoretical underpinnings, and validity were analyzed.

RESULTS

An overview, validation and adaptation for use in other settings was assessed for each instrument. Depth of reporting and validation testing differed greatly between instruments.

CONCLUSION

Content, construct, and predictive validity were present for most but not all scales. When selecting and adapting instruments, attention should be paid to domains within the scale, number of items, and adaptation.

Cross cultural adaptation, validity, and reliability of the farsi breastfeeding attrition prediction tools in Iranian pregnant women

Background:

The rate of exclusive breastfeeding in Iran is decreasing. The breastfeeding attrition prediction tools (BAPT) have been validated and used in predicting premature weaning.

Objectives:

We aimed to translate the BAPT into Farsi, assess its content validity, and examine its reliability and validity to identify exclusive breastfeeding discontinuation in Iran.

Materials and Methods:

The BAPT was translated into Farsi and the content validity of the Farsi version of the BAPT was assessed. It was administered to 356 pregnant women in the third trimester of pregnancy, who were residents of a city in northeast of Iran. The structural integrity of the four-factor model was assessed in confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Reliability was assessed using Cronbach’s alpha coefficient and item-subscale correlations. Validity was assessed using the known-group comparison (128 with vs. 228 without breastfeeding experience) and predictive validity (80 successes vs. 265 failures in exclusive breastfeeding).

Results:

The internal consistency of the whole instrument (49 items) was 0.775. CFA provided an acceptable fit to the a priori four-factor model (Chi-square/df = 1.8, Root Mean Square Error of Approximation (RMSEA) = 0.049, Standardized Root Mean Square Residual (SRMR) = 0.064, Comparative Fit Index (CFI) = 0.911). The difference in means of breastfeeding control (BFC) between the participants with and without breastfeeding experience was significant (P < 0.001). In addition, the total score of BAPT and the score of Breast Feeding Control (BFC) subscale were higher in women who were on exclusive breastfeeding than women who were not, at four months postpartum (P < 0.05).

Conclusions:

This study validated the Farsi version of BAPT. It is useful for researchers who want to use it in Iran to identify women at higher risks of Exclusive Breast Feeding (EBF) discontinuation.

Breastfeeding Assessment Score: Systematic Review and Meta-analysis

BACKGROUND

Previous studies have revealed conflicting results for the Breastfeeding Assessment Score (BAS) in predicting early breastfeeding cessation. Our objective was to externally validate the BAS and provide summary accuracy estimates for this clinical prediction model.

METHODS

We used the original data from a prospective cohort study. Additional studies were identified by searching electronic databases (Medline, Embase, Cumulative Index to Nursing and Allied Health Literature, and Cochrane) from 2002 to 2013 and contacting research groups that had derived or validated the BAS. Prospective cohort studies were eligible if the BAS was computed at baseline and mothers were followed up for breastfeeding cessation. Two physicians extracted relevant information and independently assessed the methodological quality for the included studies.

RESULTS

In the external validation cohort, 22 of 424 mothers (5.2%) discontinued breastfeeding within 14 days of infant age. The BAS predicted early breastfeeding cessation with an area under the curve of 0.70 (95% confidence interval [CI]: 0.65 to 0.74) and inadequate calibration. When restricting the meta-analysis to 3169 mother-infant pairs enrolled in 4 higher-quality studies, a BAS value <8 predicted early cessation with 0.80 sensitivity (95% CI: 0.69 to 0.91) and 0.51 specificity (95% CI: 0.32 to 0.70) summary estimates.

CONCLUSIONS

Substantial between-study heterogeneity limited the interpretation of summary accuracy estimates. The BAS predicts early breastfeeding cessation with moderate accuracy, although local recalibration is advised before implementation. Further study is warranted to determine whether the BAS can help pediatricians in identifying mother-infant pairs that may benefit from more extensive breastfeeding assessment and support.