Evidence map›Paper›PMID 37467045›Full record

ArticleHuman reproduction update2023

Assessing the influence of preconception diet on female fertility: a systematic scoping review of observational studies.

Simon Alesi, Nahal Habibi, Thais Rasia Silva, Nicole Cheung, Sophia Torkel, Chau Thien Tay, Alejandra Quinteros, Hugo Winter, Helena Teede, Aya Mousa and 2 more

Abstract readScoping Review
In one paragraph

Article in Human reproduction update, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. A multicountry, multicenter report to identify nutritional risks in female populations using the FIGO Nutrition Checklist.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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  9. Review
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  13. Observational
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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

12 authors.

Simon AlesiMonash University, Clayton, VIC, Australia.ORCID 0000-0001-9970-622X
Nahal HabibiAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
Thais Rasia SilvaPostgraduate Program in Endocrinology and Metabolism, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Nicole CheungAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
Sophia TorkelMonash University, Clayton, VIC, Australia.
Chau Thien TayMonash University, Clayton, VIC, Australia.
Alejandra QuinterosAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
Hugo WinterMonash University, Clayton, VIC, Australia.
Helena TeedeMonash University, Clayton, VIC, Australia.
Aya MousaMonash University, Clayton, VIC, Australia.ORCID 0000-0002-7356-4523
Jessica A GriegerAdelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0003-1515-948X
Lisa J MoranMonash University, Clayton, VIC, Australia.ORCID 0000-0001-5772-6484

Funding

Heart Foundation of Australia Future LeaderMonash University Faculty Graduate Research StipendNational Health and Medical Research Council APP2000905Peter Doherty Biomedical Research
6 · The paper itself

Abstract

backgroundPreconception diet is a proposed modifiable risk factor for infertility. However, there is no official guidance for women in the preconception period as to which dietary approaches may improve fertility. OBJECTIVE AND RATIONALE: A comprehensive synthesis of the relevant evidence is key to determine the potentially effective dietary patterns and components as well as evidence gaps, and to provide information for nutritional recommendations for couples planning a pregnancy. SEARCH

methodsIn this systematic scoping review, four electronic databases (Medline and EMBASE via Ovid processing, CAB Direct, and CINAHL via EBSCO) were searched for observational studies (prospective and retrospective cohort, cross-sectional, and case-control studies) from inception to 27 September 2021. Eligible studies included women of reproductive age during the preconception period, and evaluated exposures related to preconception diet and outcomes related to fertility. Results were synthesized using a descriptive approach. OUTCOMES: A total of 36 studies were eligible for inclusion (31 prospective, 3 cross-sectional, and 2 case-control studies) and were published between 2007 and 2022. Of the assessed dietary exposures, increased adherence to the Mediterranean diet displayed the strongest and most consistent association with improved clinical pregnancy rates. Reducing trans fatty acids (TFAs), saturated fatty acids, and discretionary food intake (fast food and sugar-sweetened beverages) were associated with improvements in live birth, clinical pregnancy rates, and related ART outcomes. The dietary components of seafood, dairy, and soy demonstrated inconsistent findings across the few included studies. WIDER IMPLICATIONS: Due to heterogeneity and the limited available literature on most exposures, there is insufficient evidence to support any specific dietary approach for improving fertility. However, following some of the dietary approaches outlined in this review (anti-inflammatory diets, reducing TFA, and discretionary food intake) are consistent with broad healthy eating guidelines, have little to no associated risk, and offer a plausible set of possible benefits. This warrants further exploration in randomized controlled trials.

Indexed as

DietFertilityCross-Sectional StudiesFemaleHumansPregnancyProspective StudiesRetrospective StudiesARTfemale infertilitymacronutrientsMediterranean dietpreconception diet

Identifiers

PMID37467045
PMCPMC10663051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.