Evidence map›Paper›PMID 38879123›Full record

ArticleJournal of advanced research2024

Associations between specific dietary patterns, gut microbiome composition, and incident subthreshold depression in Chinese young adults.

Xiumin Jiang, Xiaotong Wang, Meng Zhang, Lin Yu, Jun He, Shengwei Wu, Jinglan Yan, Yuanjia Zheng, Yuanyuan Zhou, Yongjun Chen

Abstract read
In one paragraph

Article in Journal of advanced research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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

10 authors.

Xiumin JiangInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaotong WangSchool of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Meng ZhangInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lin YuDepartment of Traditional Chinese Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Sleep Research Institute of Integrative Medicine, the Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou, China.
Jun HeRehabilitation Center, Counseling Department, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shengwei WuDepartment of Traditional Chinese Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Jinglan YanInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yuanjia ZhengInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yuanyuan ZhouInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yongjun ChenInstitute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China; South China Research Center for Acupuncture and Moxibustion, Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China. Electronic address: chenyongjun@sdutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe interplay between influential factors and the incidence of subthreshold depression (SD) in young adults remains poorly understood.

objectivesThis study sought to understand the dietary habits, gut microbiota composition, etc. among individuals with SD in young adults and to investigate their association with SD occurrence.

methodsEmploying a cross-sectional approach, 178 individuals with SD, aged 18-32 years, were matched with 114 healthy counterparts. SD status was evaluated using the Zung Self-rating Depression Scale (SDS), Zung Self-rating Anxiety Scale (SAS), Beck Depression Inventory 2nd version (BDI-II), the 17-item Hamilton Rating Scales of Depression (HAMD-17), and Pittsburgh Sleep Quality Index (PSQI). Metagenomic sequencing was utilized to identify fecal microbial profiles. Dietary patterns were discerned via factor analysis of a 25-item food frequency questionnaire (FFQ). Logistic regression analysis and mediation analysis were performed to explore the potential links between gut microbiota, dietary patterns, and incident SD.

resultsData on dietary habits were available for 292 participants (mean [SD] age, 22.1 [2.9] years; 216 [73.9 %] female). Logistic regression analysis revealed that dietary patterns Ⅰ (odds ratio [OR], 0.34; 95 % CI, 0.15-0.75) and IV (OR, 0.39; 95 % CI, 0.17-0.86 and OR, 0.39; 95 % CI, 0.18-0.84) were associated with reduced risk of SD. Distinct microbial profiles were observed in young adults with SD, marked by increased microbial diversity and taxonomic alterations. Moreover, mediation analysis suggested Veillonella atypica as a potential mediator linking SDS or BDI-II scores with a healthy dietary pattern rich in bean products, coarse grains, nuts, fruits, mushrooms, and potatoes (β = 0.25, 95 % CI: 0.02-0.78 and β = 0.18, 95 % CI: 0.01-0.54).

conclusionsOur findings highlight the complex interplay between dietary patterns, gut microbiota, and the risk of developing SD in young adults, underscoring the potential for dietary interventions and microbiome modulation in mental health promotion.

Indexed as

DepressionDietFecesGastrointestinal MicrobiomeAdolescentAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansIncidenceMaleYoung AdultDietary patternsGut microbiotaMediation analysisMetagenomic shotgun sequencingSubthreshold depression

Identifiers

PMID38879123
PMCPMC11518947

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LicenceCC BY-NC-ND
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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.