Evidence map›Paper›PMID 37533449›Full record

ArticleFood & nutrition research2023

Antenatal care follow-up was significantly associated with a higher probability of high dietary diversity score among pregnant women in okra-producing areas of western Ethiopia: proportional odds model.

Efrem Negash Kushi, Tefera Belachew, Dessalegn Tamiru

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Article in Food & nutrition research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 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

3 authors at 2 institutions in 3 countries.

Efrem Negash KushiDepartment of Public Health, College of Health and Medical Science, Mettu University, Mettu, Ethiopia.
Tefera BelachewDepartments of Nutrition and Dietetics, Public Health Institute, Jimma University, Jimma, Ethiopia.
Dessalegn TamiruDepartments of Nutrition and Dietetics, Public Health Institute, Jimma University, Jimma, Ethiopia.
Jimma University · ETMattu University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dietary diversity is important for pregnant women since it has been associated with nutrient adequacy. It is very crucial to ensure optimal fetal health and development. There is no evidence at the community level on the magnitude of dietary diversity and its predictors among pregnant women in okra-producing areas of western Ethiopia. Objective: This study aimed to assess the level of dietary diversity and its associated factors among pregnant women. Design: A community-based cross-sectional study was employed among randomly selected 224 pregnant women in western Ethiopia. An interviewer-administered questionnaire was used to collect the data. The qualitative open 24-h recall was used to assess the level of dietary diversity. Ordinal logistic regression analyses were used by SPSS version 25. An adjusted proportional odds ratio along with a 95% confidence interval [CI] was computed to measure the strengths of the association at a Result: This study revealed that more than one-fourth, 64 (28.6%), of the respondents were found to have high dietary diversity scores. Antenatal Care [ANC] visits (Adjusted Odds Ratio [AOR] = 2.10, [95% CI: 1.13, 3.90], Conclusion: More than half of pregnant women in western Ethiopia were found to have low dietary diversity. Therefore, ANC follow-up, dietary modification, and promotion of frequent use of wild edible plants (okra) to maintain household food security were very crucial.

Indexed as

dietary modificationEthiopiamaternal nutritionokra consumptionordinal logistic regression

Identifiers

PMID37533449
PMCPMC10392863
OpenAlexW4385429492

What Socratic holds

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LicenceCC BY
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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 Socratic graph.