Evidence map›Paper›PMID 40350701›Full record

ArticleBrain and behavior2025

Albuminuria and Mental Illness Risk: Results From National Health and Nutrition Examination Survey 2005-2018 and Mendelian Randomization Analyses.

Yangyang Wang, Sen Li

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline 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

2 authors.

Yangyang WangSecond Medical College of Wenzhou Medical University, Wenzhou, China.
Sen LiSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0009-0009-5716-8617

Funding

General Research Project of Zhejiang Provincial Department of Education Y201942047Natural Science Foundation of Zhejiang Province LQ20H020002Wenzhou Science and Technology Program Y20180060
6 · The paper itself

Abstract

backgroundRecent evidence suggests a link between albuminuria and mental illness. However, whether this association is stable, and its specific mechanisms remain unclear.

methodsThe cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Weighted multivariable-adjusted logistic regression, subgroup analysis, interaction tests, and restricted cubic spline (RCS) were conducted to assess the correlation between albuminuria and the risk of mental illness (depression). Subsequently, two-sample Mendelian randomization analyses were performed to investigate the relationship between albuminuria and various mental illnesses (anxiety disorder, persistent delusional disorder, schizophrenia, schizotypal personality disorder, panic disorder, post-traumatic stress disorder [PTSD], obsessive-compulsive disorder, bipolar I disorder, bipolar II disorder, depression, autism, social anxiety disorder).

resultsAlbuminuria was consistently found to have a significant association with the risk of depression, regardless of its classification as a continuous or outcome variable. A positive correlation was found between albuminuria and depression in different age groups, gender, race, education attainment, and those with hypertension, coronary heart disease, and diabetes. Further, there is a positive correlation between albuminuria and the occurrence of schizophrenia and persistent delusional disorder.

conclusionThere is a close association between albuminuria and mental illness, with albuminuria being a risk factor for schizophrenia and persistent delusional disorder. Further research is needed to establish the specific connections.

Indexed as

AlbuminuriaMental DisordersAdultAgedCross-Sectional StudiesFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedNutrition SurveysRisk FactorsSchizophreniaUnited StatesYoung Adultalbuminuriacross‐sectional studymental illness riskNational Health and Nutrition Examination Surveypersistent delusional disorderschizophrenia

Identifiers

PMID40350701
PMCPMC12066806

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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.