Literature DB >> 11845733

Predicting early breastfeeding attrition.

Margaret J Dick1, Marilyn L Evans, Janet B Arthurs, Janta K Barnes, Robin S Caldwell, Sophie S Hutchins, Linda K Johnson.   

Abstract

The Breastfeeding Attrition Prediction Tool (BAPT) is based on the theory of planned behavior, which explains behavior as a function of attitudes, subjective norm, and perceived control. The BAPT subscales are positive and negative attitudes toward breastfeeding, family and professional expectations, and perceived ability to be successful. The purpose of this study was to test the reliability and validity of the BAPT among 269 women who planned to breastfeed for at least 8 weeks. Subjects completed the BAPT in the hospital and during a telephone interview at 8 weeks. Based on factor analysis, several items were deleted. Using discriminant function analysis, the modified BAPT was an effective predictor of 78% of women who stopped breastfeeding before 8 weeks and 68% of those who were still breastfeeding. There is potential for the modified BAPT to be an adjunct for the clinician in identifying women at risk for early cessation of breastfeeding.

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Year:  2002        PMID: 11845733     DOI: 10.1177/089033440201800104

Source DB:  PubMed          Journal:  J Hum Lact        ISSN: 0890-3344            Impact factor:   2.219


  8 in total

1.  Modified breastfeeding attrition prediction tool: prenatal and postpartum tests.

Authors:  Marilyn L Evans; Margaret J Dick; Lynne P Lewallen; Cynthia Jeffrey
Journal:  J Perinat Educ       Date:  2004

2.  A review of instruments used to predict early breastfeeding attrition.

Authors:  Lynne Porter Lewallen
Journal:  J Perinat Educ       Date:  2006

3.  Predictive Models for Characterizing Disparities in Exclusive Breastfeeding Performance in a Multi-ethnic Population in the US.

Authors:  Yeyi Zhu; Ladia M Hernandez; Peter Mueller; Yongquan Dong; Steven Hirschfeld; Michele R Forman
Journal:  Matern Child Health J       Date:  2016-02

Review 4.  A Critical Review of Instruments Measuring Breastfeeding Attitudes, Knowledge, and Social Support.

Authors:  Corrine S Casal; Ann Lei; Sera L Young; Emily L Tuthill
Journal:  J Hum Lact       Date:  2016-12-15       Impact factor: 2.219

5.  Predictors of breastfeeding intention among low-income women.

Authors:  Amal K Mitra; Amal J Khoury; Agnes W Hinton; Cathy Carothers
Journal:  Matern Child Health J       Date:  2004-06

6.  Disparities in Breastfeeding Among U.S. Black Mothers: Identification of Mechanisms.

Authors:  Cara B Safon; Timothy C Heeren; Stephen M Kerr; Daphney Clermont; Michael J Corwin; Eve R Colson; Rachel Y Moon; Ann L Kellams; Fern R Hauck; Margaret G Parker
Journal:  Breastfeed Med       Date:  2021-02-04       Impact factor: 1.817

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

Authors:  Forough Mortazavi; Seyed Abbas Mousavi; Reza Chaman; Ahmad Khosravi; Jill R Janke
Journal:  Iran Red Crescent Med J       Date:  2015-03-20       Impact factor: 0.611

8.  Sensitivity of the breastfeeding motivational measurement scale: a known group analysis of first time mothers.

Authors:  Janine Stockdale; Marlene Sinclair; George Kernohan; Evie McCrum-Gardner; John Keller
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

  8 in total

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