Evidence map›Paper›PMID 42919193›Full record

ArticleBMC psychiatry2026

Exposure to multiple metals and adolescent major depressive disorder: a case-control study in China.

Yuqian He, Xue Li, Dan Zhu, Xueer Liu, Xuemei Li, Teng Teng, Tingting Lei, Jie Li, Yajie Huang, Xieyu Gan and 6 more

Abstract read
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In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yuqian He *Department of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xue Li *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, 230071, China.
Dan Zhu *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xueer LiuDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xuemei LiDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Teng TengDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Tingting LeiDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jie LiDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yajie HuangDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xieyu GanDepartment of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Hang DuChongqing Prevention and Treatment Center for Occupational Diseases, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, 400016, China.
Yijue WangThe First Clinical College, Chongqing Medical University, Chongqing, China.
Jingye ZhouInternational Medical College, Chongqing Medical University, Chongqing, 400016, China.
Chengzhi ChenDepartment of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China. chengzhichen@cqmu.edu.cn.
Fen HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui, 230071, China. fenh@ahmu.edu.cn.
Xinyu ZhouDepartment of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. zhouxinyu@cqmu.edu.cn.ORCID https://orcid.org/0000-0003-1908-0357

Funding

Natural Science Foundation of Chongqing CSSTC2020JCYJ-MSXM3341Natural Science Foundation of Chongqing CSTB2023NSCO-MSX0381STI2030-Major Projects 2022ZD0212900the National Key R&D Program of China 2024YFC2707800the National Natural Science Foundation of China 82271565
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) in adolescents is a common mental health problem with a complicated cause and increasing prevalence. Previous studies reported the impact of metals on adolescents with depressive symptoms, but limited evidence is available on the relationship between metals and adolescent MDD.

methodsA total of 203 adolescents with MDD and 203 healthy controls were recruited for this case-control study. Urinary levels of 21 metals were measured using inductively coupled plasma mass spectrometry. The Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to identify metals for key metals, and conditional logistic regression and Bayesian Kernel Machine Regression (BKMR) were applied to assess individual and joint effects.

resultsIn the multi-metal model, higher urinary copper (Cu) and iron (Fe) levels were associated with increased MDD risk, whereas nickel (Ni) and iodine (I) inversely associated. BKMR analysis confirmed positive associations for Cu and Fe and protective effects for Ni and I. The combined metal exposure showed an overall negative association with MDD risk. These associations were consistent across several subgroups.

conclusionsThis research was the first case-control study to explore the relationship between urinary metal levels and adolescent MDD. Our study identified urinary Cu and Fe as risk factors for adolescent MDD, whereas urinary Ni and I were potential protective factors. These findings might provide new light on the future prevention of adolescent MDD.

Indexed as

Major Depressive DisorderMetalsAdolescentCase-Control StudiesChinaCopperFemaleHumansIronMaleRisk FactorsCopperIronMetalsAdolescentBKMR analysisMajor depressive disorderUrinary metals

Identifiers

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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.