Evidence map›Paper›PMID 28243406›Full record

ArticleElectronic physician2017

The Effect of Message-Framing on Breastfeeding Self-Efficacy Among Nulliparous Women in Shushtar, Iran.

Fatemeh Merdasi, Marzieh Araban, Malehi Amal Saki

Abstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

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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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fatemeh MerdasiHealth Education Student, Public Health School, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Marzieh ArabanPh.D. in Health Education, Assistant Professor, Social Determinants of Health Research Center, Health Education and Health Promotion Department, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Malehi Amal SakiPh.D. of Biostatistics, Assistant Professor, Department of Biostatistics and Epidemiology, Faculty of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExclusive breastfeeding for 6 months and continuing it for 2 years, along with complementary feeding, are the primary objectives of public health plans and nutrition around the world. Self-efficacy is a theoretical framework that could be a strong predictive for breastfeeding. This study aimed to determine the effect of message-framing on self-efficacy of breastfeeding in nulliparous women in Shushtar.

methodsThis quasi-experimental study was conducted in 2015 on 210 nulliparous women in Shushtar (Iran). The participants were randomly allocated into intervention and control groups. The study tool was the short form of breastfeeding self-efficacy scale that was completed on arrival of the study (days 3-5), at the end of week four and at the end of week eight. Data were analyzed by SPSS 19, using Chi-square, ANOVA, and repeated measurements.

resultsMean age of participants was 24.52 years old with standard deviation of 95.4. Mean score of breastfeeding self-efficacy in gain-framed group at days 3-5, week four and week eight was 47.94, 57.43 and 52.8 respectively; in loss-framed group it was 47.76, 56.11 and 52.64 respectively; and in control group it was 45.16, 48.68 and 45.31 respectively. No significant difference was observed between the score of average self-efficacy of days 3-5 and week eight in control group (p=0.93). However, in gain-framed group (p=0.001) and loss-framed group (p=0.004), a significant difference was observed.

conclusionResults of this study showed that message-framing promotes breastfeeding self-efficacy in nulliparous women and in this regard, there is no difference between gain-framed and loss-framed messages.

Indexed as

Breastfeeding Self-EfficacyMessage-FramingNulliparous Women

Identifiers

PMID28243406
PMCPMC5308494

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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.