Evidence map›Paper›PMID 42226210›Full record

ArticleBMC medicine2026

Pre-diagnostic biomarkers and risk of stress-related disorders: a cohort study based on electronic health records.

Anna A Peltola, Esha Khan, Anna Tirkkonen, Mikaela B von Bonsdorff, Juulia Jylhävä, Jake Lin

Abstract read
In one paragraph

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

6 authors.

Anna A PeltolaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Esha KhanFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Anna TirkkonenFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Mikaela B von BonsdorffFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Juulia Jylhävä *Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. juulia.jylhava@ki.se.
Jake Lin *Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress-related disorders are associated with future somatic health conditions, suggesting these disorders involve systemic mechanisms. Yet, evidence from biomarkers remains fragmented across physiological systems. We investigated whether routinely collected laboratory biomarkers are associated with stress-related disorder risk and analyzed their temporal trends before diagnosis.

methodsWe conducted a retrospective cohort study using electronic health records from Central Finland, collected between 2010 and 2023. Our analytical sample included 73,909 individuals: 6,758 cases and 67,151 controls matched on sex and birth year. Cases were diagnosed with stress-related disorders: acute stress reaction, posttraumatic stress disorder, adjustment disorder, other/unspecified reactions to severe stress, burnout, or stress not elsewhere classified. At baseline, participants were aged 34-92 years and were followed for an average of 4.6 ± 3.3 years. Ten routine biomarkers were examined: C-reactive protein, hemoglobin, glucose, glycated hemoglobin, triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), creatinine, sodium, and potassium. Temporal trends were visualized using generalized additive models. Cox proportional hazards models, adjusted for comorbidities, prescribed medications, and care visit frequency, were used to estimate associations between the risk of stress-related disorder diagnosis and biomarker levels measured within one year prior.

resultsThree biomarkers were associated with the risk of stress-related disorder diagnosis in the multivariable model. Higher hemoglobin (HR 0.98 per g/L, 95% CI, 0.97-0.99) and higher potassium (HR 0.74 per mmol/L, 95% CI, 0.64-0.86) were associated with a reduced risk, while higher LDL-C was associated with an increased risk (HR 1.12 per mmol/L, 95% CI, 1.06-1.18). The multivariable model concordance was 0.67. In time-varying models extended over the full follow-up, only hemoglobin retained a significant association.

conclusionsHemoglobin, potassium, and LDL-C showed modest but robust associations with stress-related disorder diagnosis. These findings point to physiological domains for future research into the somatic aspects of stress-related disorders.

Indexed as

BiomarkersElectronic Health RecordsStress, PsychologicalAdultAgedAged, 80 and overFemaleFinlandHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersbiomarkersCox proportional hazards modelselectronic health recordshemoglobinlow-density lipoprotein cholesterolpotassiumstress-related disorders

Identifiers

PMID42226210
PMCPMC13227757

What Socratic holds

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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 Socratic graph.