[HTML][HTML] Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank

LM Lyall, N Sangha, X Zhu, DM Lyall, J Ward… - Journal of Affective …, 2023 - Elsevier
Background Sleep and circadian disruption are associated with depression onset and
severity, but it is unclear which features (eg, sleep duration, chronotype) are important and …

Interaction between sleep duration and trouble sleeping on depressive symptoms among US adults, NHANES 2015-2018

S Wang, ME Rossheim, RR Nandy… - Journal of Affective …, 2024 - Elsevier
Background This study aims to examine the associations and interaction effects of sleep
duration and trouble sleeping on depressive symptoms among US adults. Methods National …

[HTML][HTML] Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models

R Alazaidah, G Samara, M Aljaidi, M Haj Qasem… - Diagnostics, 2023 - mdpi.com
Sleep disorder is a disease that can be categorized as both an emotional and physical
problem. It imposes several difficulties and problems, such as distress during the day, sleep …

Exploring the relationship between sleep patterns and depression among Chinese middle school students: a focus on sleep quality vs. sleep duration

X Zhang, Z Dou, F Yang, L Luo, J Yang - Frontiers in Public Health, 2024 - frontiersin.org
Objective This study aims to explore the relationship between sleep patterns and depressive
symptoms among adolescents, examining variations in depressive symptoms across …

[HTML][HTML] A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

E Li, F Ai, C Liang - Frontiers in Public Health, 2024 - frontiersin.org
Objective Depression is very common and harmful in patients with obstructive sleep apnea
hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression …

Why sleep matters for young people who may get depressed

GM Goodwin - Interface Focus, 2020 - royalsocietypublishing.org
Depression and anxiety are negative emotional states familiar to us all through personal
experience. Less familiar are severe states of depression, in particular, which can actually …

Disentangling the effects of depression on trajectories of sleep problems from adolescence through young adulthood

LY Chang, HY Chang, LN Lin, CC Wu… - Journal of Affective …, 2017 - Elsevier
Background Little is known about the differential influences of between-and within-person
effects of depression as well as its long-term impacts on sleep problems in adolescents. This …

EVALUATING MACHINE LEARNING MODELS FOR PREDICTING SLEEP DISORDERS IN A LIFESTYLE AND HEALTH DATA CONTEXT

G Airlangga - JIKO (Jurnal Informatika dan Komputer), 2024 - ejournal.unkhair.ac.id
Sleep disorders significantly impact public health, but their detection is often complicated by
the multifaceted nature of causative factors. This study investigates the efficacy of various …

Is moderate depression associated with sleep stage architecture in adolescence? Testing the stage type associations using network and transition probability …

M Elovainio, J Lipsanen, R Halonen, L Kuula… - Psychological …, 2021 - cambridge.org
BackgroundDepression even at the subclinical level is often accompanied by sleep
disturbances, but little is known about the dynamics of the sleep stages in relation to …

[HTML][HTML] Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders

S Morokuma, T Hayashi, M Kanegae, Y Mizukami… - Scientific reports, 2023 - nature.com
Deep learning methods have gained significant attention in sleep science. This study aimed
to assess the performance of a deep learning-based sleep stage classification model …