Evidence map›Paper›PMID 24468939›Full record

SynthesisEuropean journal of nutrition2014

Dietary patterns and the risk of depression in adults: a systematic review of observational studies.

Corinna Rahe, Michael Unrath, Klaus Berger

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 13 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

88 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  9. Association ofPsychological medicine · 2020
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28 more citing papers are in PubMed but not listed here.

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.

Corinna RaheInstitute of Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany, corinna.rahe@uni-muenster.de.
Michael Unrath
Klaus Berger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiet, a modifiable lifestyle factor, may influence the development of depression. We performed a systematic review of observational studies examining the relationship between dietary patterns and depression in healthy adults.

methodsA literature research was conducted searching various electronic databases up to May 2013. Study selection was based on predefined inclusion and exclusion criteria. Included studies were reviewed, and relevant data were extracted by two independent researchers. Due to a high level of heterogeneity, no meta-analysis was conducted. Therefore, main results are presented in a descriptive way.

resultsIn total, 16 studies met the inclusion criteria and are part of this review. Dietary patterns most commonly found were traditional/healthy patterns, Western/unhealthy patterns and Mediterranean patterns. The available literature suggests a protective effect of healthy and Mediterranean patterns, as well as a potential positive association of Western patterns and depression. However, comparison of the included studies was difficult, due to differences in relevant study characteristics and methodological limitations.

conclusionsThere are indications that dietary patterns may have influence on the onset of depression, but no firm conclusion can be drawn at this point. Further research is needed to clarify the diet-depression relationship, preferably in the form of methodological strong prospective studies using more homogeneous methods.

Indexed as

Feeding BehaviorAdultDatabases, FactualDepressionHumansObservational Studies as TopicRisk Factors

Identifiers

PMID24468939

What OpenQuestion holds

Textmetadata
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.