Evidence map›Paper›PMID 42183348›Full record

ArticleResearch square2026

Life Stressors in Young Americans are Linked via Asymmetric U-Shapes to Mental Health Severity.

Dmitry Scherbakov, Nina de Lacy, Olga Barg, Jihad S Obeid, Alexander V Alekseyenko

Abstract readPreprint
In one paragraph

Article in Research square, 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
–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

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

5 authors.

Dmitry ScherbakovMedical University of South Carolina.ORCID 0009-0005-7274-0934
Nina de LacyUniversity of Utah.
Olga BargUniversity of Pennsylvania School of Medicine.
Jihad S ObeidMedical University of South Carolina.
Alexander V AlekseyenkoMedical University of South Carolina.

Funding

SC Biomedical Informatics & Data Science for Health Impact (SC BIDS4Health)T15LM013977 · NLM · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Alexander V Alekseyenko, Brian Dean · 2022 to 2026
$1.2M
NLM NIH HHS T15 LM013977
6 · The paper itself

Abstract

Objective: To assess whether adolescent and young adult life stressors predict midlife depression/anxiety symptoms. Methods: Using The National Longitudinal Survey of Youth 1997 (n = 8,984; ages < 35 exposures; ages > 35 outcomes), we modeled maximum scores on CES-D/GAD-7 scales with stratified random forests and visualized via accumulated local effects. The U-shaped association was confirmed with quadratic linear regression. Results: Lower income, more cohabitations, earlier marriage, and ≥ 6 children predicted ≥ 1-point higher symptoms; many predictors (income, education, children, marriages) demonstrated variations of U-shaped association with the outcome. Conclusion: Early stressors were associated with midlife mental health symptoms, demonstrating non-linear patterns, which are often not identified by traditional statistical analysis.

Indexed as

accumulated local effectsanxietydepressionlife-coursemachine learningNLSY97

Identifiers

PMID42183348
PMCPMC13193128

What OpenQuestion holds

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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.