Evidence map›Paper›PMID 36311643›Full record

ArticleFrontiers in public health2022

Non-linear association between composite dietary antioxidant index and depression.

Leiyong Zhao, Yiyan Sun, Renshuang Cao, Xueqiang Wu, Tianjiao Huang, Wei Peng

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

73 citing papers in PubMed.

  1. Anxiety disorders: a cross-sectional study of clinical and biological associations.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Leiyong ZhaoDepartment of Psychosomatic Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Yiyan SunThe First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Renshuang CaoThe First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Xueqiang WuThe First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Tianjiao HuangThe First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Wei PengDepartment of Psychosomatic Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence has shown that the antioxidant diet is a protective factor against depression. However, the relationship between the Composite Dietary Antioxidant Index (CDAI), an important measure of antioxidant diet, and depression has received little attention. Therefore, we investigated the relationship between CDAI and depression through a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Methods: The association between CDAI and depression was investigated using a weighted multiple logistic regression model with subgroup analysis. Non-linear correlations were explored using fitted smoothing curves. And we used a recursive method to figure out the turning point and build a weighted two-piece linear regression model. Results: In the multivariate logistic regression model with full adjustment for confounding variables, the ORs (95% CI) for the association between CDAI and depression were 0.83 (0.78, 0.88). Moreover, a non-linear association was found, with 0.16 being the inflection point. Before the inflection point, each unit increase in CDAI was associated with a 30% decrease in the risk of depression. After the inflection point, the risk of depression was found to be reduced by 11% for each unit increase. None of the interactions in all subgroup analyses were statistically significant. Conclusions: Our study highlighted a negative non-linear association between CDAI and depression in a nationally representative sample of US adults. Further clinical and basic research is needed to explore their association better.

Indexed as

AntioxidantsDepressionCross-Sectional StudiesDietNutrition SurveysAntioxidantsCDAIcross-sectional researchdepressionNHANESnon-linear

Identifiers

PMID36311643
PMCPMC9609418

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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.