Article

Prediction of depressive symptoms severity based on sleep quality, anxiety, and brain: a machine learning approach across three cohorts

2023-08-13

Abstract excerpt

<h4>Summary</h4> <h4>Background</h4> Depressive symptoms are rising in the general population, but their associated factors are unclear. Although the link between sleep disturbances and depressive symptoms severity (DSS) is reported, the predictive role of sleep on DSS and the impact of anxiety and the brain on their relationship remained obscure. <h4>Method</h4> Using three population-based datasets, we trained t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 291b42e1-f251-52f1-bb0f-8a5ca9dee587
DOI: 10.1101/2023.08.09.23293887

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of depressive symptoms severity based on sleep quality, anxiety, and brain: a machine learning approach across three cohortsDOI 10.1101/2023.08.09.23293887Read

Exploration of Sleep-Centered Clinical Phenotypes to Characterize Anxious and Non-Anxious Major DepressionSemantic proximity Read

Socioeconomic and lifestyle factors predict the association between sleep health and depressionSemantic proximity Read

A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signaturesSemantic proximity Read

Healthy sleep, proteomic signatures, and incident depression: associations accounting for genetic risk in an adult cohort.Semantic proximity Read

A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signaturesSemantic proximity Read

The nationwide SoPsy-Depression cohort: study rationale, design, and baseline patient characteristicsSemantic proximity Read

Sleep Disturbance Severity is Associated With Cognitive Impairment in Patients With First-episode, Treatment-naïve Major Depressive DisordersSemantic proximity Read

Sleep and circadian health in the UK Biobank: Report on the 2023 sleep questionnaire enhancementSemantic proximity Read

Comparison of self-reported and physiological sleep quality from consumer devices to depression and neurocognitive performanceSemantic proximity Read

Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index with disease outcomes and their interaction in a clinical biobank.Semantic proximity Read

Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlatesSemantic proximity Read

Prevalence of sleep disturbance and associated risk factors in UK Biobank participants with alcohol use disorders and major depressionSemantic proximity Read