Evidence map›Paper›PMID 37340419›Full record

ArticleThe international journal of behavioral nutrition and physical activity2023

Relationship between dietary pattern and depressive symptoms: an international multicohort study.

Hanzhang Wu, Yeqing Gu, Ge Meng, Qing Zhang, Li Liu, Hongmei Wu, Shunming Zhang, Tingjing Zhang, Xuena Wang, Juanjuan Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 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

18 authors at 5 institutions in 2 countries.

Hanzhang WuSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Yeqing GuInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. gyq900916@163.com.
Ge MengNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Qing ZhangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Li LiuHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Hongmei WuSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Shunming ZhangSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Tingjing ZhangSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Xuena WangSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Juanjuan ZhangSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China.
Shaomei SunHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Xing WangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Ming ZhouHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Qiyu JiaHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Kun SongHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Hong ChangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Tao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China. huangtao@bjmu.edu.cn.
Kaijun NiuSchool of Public Health, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, West Area, Tuanbo New Town, Tianjin, Jinghai District, 301617, China. nkj0809@gmail.com.ORCID 0000-0002-8772-2481
Tianjin University of Traditional Chinese Medicine · CNTianjin Medical University General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral previous studies have shown that dietary patterns are associated with the incidence of depressive symptoms. However, the results have been inconsistent. This study aimed to prospectively investigate the association between dietary patterns and the risk of depressive symptoms in two large cohort studies.

methodsThe Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) cohort study included a total of 7,094 participants living in Tianjin, China from 2013 to 2019, and the UK Biobank cohort study includes 96,810 participants who were recruited from 22 assessment centers across the UK taken between 2006 and 2010. All participants were free of a history of cardiovascular disease (CVD), cancer, and depressive symptoms at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated food frequency questionnaire in TCLSIH or Oxford WebQ in UK Biobank. Depressive symptoms were evaluated using the Chinese version of the Zung Self-Rating Depression Scale (SDS) in TCLSIH or hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between dietary patterns and depressive symptoms.

resultsA total of 989, and 1,303 participants developed depressive symptoms during 17,410 and 709,931 person-years of follow-up. After adjusting for several potential confounders, the multivariable HRs (95% CIs) of the depressive symptoms were 0.71 (0.57, 0.88) for traditional Chinese dietary pattern, 1.29 (1.07, 1.55) for processed animal offal included animal food dietary pattern, and 1.22 (1.02, 1.46) for sugar rich dietary pattern in TCLSIH (all Q4 vs Q1). In the UK Biobank, the HRs (95% CIs) of depressive symptoms were 1.39 (1.16, 1.68) for processed food dietary pattern (Q4 vs Q1), 0.90 (0.77, 1.00) for healthy dietary pattern (Q3 vs Q1), and 0.89 (0.75, 1.05) for meat dietary pattern (Q4 vs Q1) in the final adjusted model.

conclusionDietary patterns rich in processed foods were associated with a higher risk of depressive symptoms, and following a traditional Chinese dietary pattern or healthy dietary pattern was associated with a lower risk of depressive symptoms, whereas meat dietary pattern was not associated.

Indexed as

DepressionDietAnimalsChinaCohort StudiesHumansInflammationRisk FactorsAdultsCohort studiesDepressive symptomsDietary pattern

Identifiers

PMID37340419
PMCPMC10283197
OpenAlexW4381434320

What OpenQuestion 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 OpenQuestion graph.