Evidence map›Paper›PMID 34855056›Full record

ArticleMaternal and child health journal2022

Predicting Risk for Early Breastfeeding Cessation in Israel.

Zarina Paltiel Gabay, Kaboni Whitney Gondwe, Maxim Topaz

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Zarina Paltiel GabaySchool of Nursing, University of Haifa, Haifa, Israel. Zpaltiel@bidmc.harvard.edu.
Kaboni Whitney GondweCollege of Nursing, University of Wisconsin, Milwaukee, USA.ORCID http://orcid.org/0000-0001-7333-0930
Maxim TopazSchool of Nursing, Columbia University, New York, USA.
Columbia University · USMedical College of Wisconsin · USUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to 1) Examine factors associated with cessation of exclusive breastfeeding in Israel and 2) Develop predictive models to identify women at risk for early exclusive breastfeeding cessation.

methodsThe study used data from longitudinal national representative infant nutrition survey in Israel (n = 2119 participants). Logistic regression was used to identify risk factors and build predictive models.

resultsThe rate of exclusive breastfeeding cessation increased from 45.4% at 2 months to 85.7% at 6 months. Five factors were significantly associated with higher odds of exclusive breastfeeding cessation at 2 months: being a primapara, low educational level, lack of previous breastfeeding experience, negative attitude towards birth, and lack of intention to breastfeed. Six factors were significantly associated with higher odds of exclusive breastfeeding cessation at 6 months: younger age, being in a relationship with a partner, lower religiosity level, cesarean delivery, not taking folic acid during pregnancy, and negative attitude towards birth. Both 2 and 6-months models had good predictive performance (C-statistic of .72 and .68, accordingly). CONCLUSIONS FOR PRACTICE: This nationwide study successfully identified several predictors of exclusive breastfeeding cessation and created breastfeeding cessation prediction tools for two time periods (2 and 6 months). The resulting tools can be applied to identify women at risk for stopping exclusive breastfeeding in hospitals or at community clinics. Further studies should examine practical aspects of applying these tools in practice and explore whether applying those tools can lead to higher exclusive breastfeeding rates.

Indexed as

Breast FeedingHealth BehaviorFemaleHumansInfantIntentionIsraelLongitudinal StudiesPregnancyBreastfeeding cessationBreastfeeding supportExclusive breastfeedingIsraelPredictive modelling

Identifiers

PMID34855056
OpenAlexW3215926145

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.