Evidence map›Paper›PMID 29628960›Full record

ArticleIranian journal of nursing and midwifery research

Relationship of Social Cognitive Theory Concepts to Dietary Habits of Pregnant Women.

Nasrin Torkan, Ashraf Kazemi, Zamzam Paknahad, Parvin Bahadoran

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Nasrin TorkanStudent Research Center, Faculty of Nursing And Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Ashraf KazemiDepartment of Reproductive Health, School of Nursing And Midwifery, Isfahan University of Medical Siences, Isfahan, Iran.
Zamzam PaknahadProfessor of Nutrition, Isfahan University of Medical Sciences, Faculty of Nutrition And Food Sciences, Isfahan, Iran.
Parvin BahadoranNursing And Midwifery Research Center, School of Nursing And Midwifery, Isfahan University of Medical Science, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutrition during pregnancy is undoubtedly one of the most important factors affecting maternal health. In this regard, considering the cognitive-behavioral factors associated with feeding, behaviors will play an important role in the effectiveness of interventions. Therefore, this study aimed to investigate the correlation between food habits and structures of social cognitive theory in pregnant women. MATERIALS AND

methodsIn this cross-sectional study, 192 pregnant women were randomly selected. Data were collected using a questionnaire based on the social cognitive theory structures and food habits questionnaire in the questioning manner and was also analyzed using Pearson correlation and multiple linear regression with the software Statistical Package for the Social Sciences, version 19.

resultsThere was a significant correlation between nutritional behavior with self-regulation (

conclusionsResults of this study showed that self-regulation is one of the important factors associated with feeding behavior in pregnant women so that it is suggested to be considered in nutritional interventions in order to improve nutritional behavior.

Indexed as

Dietary habitsfast foodfood pyramidnutritional behaviorpregnant womensocial cognitive theory

Identifiers

PMID29628960
PMCPMC5881229
OpenAlexW2793544396

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.