Evidence map›Paper›PMID 39100402›Full record

ReviewIranian journal of nursing and midwifery research

The Association between Post-Partum Depression and Nutrition and Dietary Patterns: Systematic Review.

Maryam Ghaedrahmati, Zahra Alipour

Abstract readReview
In one paragraph

Review 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
  2. Review
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

2 authors.

Maryam GhaedrahmatiPh.D of Reproductive Health, Narges Social Security Organization, Dorood, Lorestan, Iran.
Zahra AlipourAssistant Professor of Reproductive Health Department of Midwifery, School of Medicine Qom University of Medical Sciences, Qom, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postpartum Depression (PPD) is a common illness with long-term effects on mother and child. Nutrition is a crucial factor in mental health, but research findings on its connection to PPD are inconsistent. This review aims to explore the correlation between PPD and dietary patterns. Materials and Methods: We conducted a comprehensive search of several databases including PubMed/MEDLINE, Embase, ISI and ISI/Web of Science (WOS), Scopus, and Iranian databases such as Magiran, Scientific Information Database (SID), and IRANDOC from 2003 to 2020. Our search was based on the keywords "postpartum depression" and "nutrition, vitamin D, Folic acid, iron, zinc, and vitamins." We applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist to select articles based on inclusion/exclusion criteria. Of the 100 articles identified, only 24 articles met our criteria and were selected for further analysis. Results: Research suggests that low levels of vitamin D, iron, folate, and carbohydrates, and an unhealthy diet lacking in vegetables are potential causes of PPD. However, the impact of zinc, omega-3 essential fatty acids, and other nutrients such as antioxidants, vitamin E, and vitamin C on PPD is unclear due to conflicting information. Additionally, limited research has been conducted on the association between group B vitamins and PPD. Conclusions: In conclusion, we can lower the risk of PPD by providing dietary guidance and working with healthcare providers. It is important to pay attention to our diet and make sure we are consuming enough vitamins and nutrients to support our mental health.

Indexed as

Depressiondietdiet healthyfoodnutritionpostpartum

Identifiers

PMID39100402
PMCPMC11296595

What OpenQuestion holds

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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.