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

Laura M. Lyall; Natasha Sangha; Xingxing Zhu; Donald M. Lyall; Joey Ward; Rona J. Strawbridge; Breda Cullen; Daniel J. Smith

doi:10.1016/j.jad.2023.04.138

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

Laura M. Lyall, Natasha Sangha, Xingxing Zhu, Donald M. Lyall, Joey Ward, Rona J. Strawbridge, Breda Cullen, Daniel J. Smith

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	83-94
Journal	Journal of Affective Disorders (JAD)
Volume	335
DOIs	https://doi.org/10.1016/j.jad.2023.04.138
Publication status	Published - 6 May 2023

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https://linkinghub.elsevier.com/retrieve/pii/S0165032723006249

Cite this

@article{36db488b7cef4a728c8bd3936ca7c964,

title = "Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank",

author = "Lyall, {Laura M.} and Natasha Sangha and Xingxing Zhu and Lyall, {Donald M.} and Joey Ward and Strawbridge, {Rona J.} and Breda Cullen and Smith, {Daniel J.}",

note = "Funding Information: This research was conducted using the UK Biobank resource, under application 54772 (PI Lyall). UK Biobank was established by the Wellcome Trust, Medical Research Council, Department of Health, Scottish Government and Northwest Regional Development Agency. UK Biobank has also had funding from the Welsh Assembly Government and the British Heart Foundation. Data collection was funded by UK Biobank . LML is supported by a JMAS Sim Fellowship for depression research from the Royal College of Physicians of Edinburgh , and a Lord Kelvin Adam Smith (LKAS) Fellowship from the University of Glasgow . RJS is supported by a University of Glasgow LKAS fellowship and a UKRI Innovation- HDR-UK Fellowship ( MR/S003061/1 ). DJS acknowledges the support of a Lister Prize Fellowship ( 173096 ). NS is funded by a Medical Research Council Doctoral Training Programme in Precision Medicine PhD studentship. The funders had no role in the design or analysis of this study, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = may,

day = "6",

doi = "10.1016/j.jad.2023.04.138",

language = "English",

volume = "335",

pages = "83--94",

journal = "Journal of Affective Disorders (JAD)",

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TY - JOUR

T1 - Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank

AU - Lyall, Laura M.

AU - Sangha, Natasha

AU - Zhu, Xingxing

AU - Lyall, Donald M.

AU - Ward, Joey

AU - Strawbridge, Rona J.

AU - Cullen, Breda

AU - Smith, Daniel J.

N1 - Funding Information: This research was conducted using the UK Biobank resource, under application 54772 (PI Lyall). UK Biobank was established by the Wellcome Trust, Medical Research Council, Department of Health, Scottish Government and Northwest Regional Development Agency. UK Biobank has also had funding from the Welsh Assembly Government and the British Heart Foundation. Data collection was funded by UK Biobank . LML is supported by a JMAS Sim Fellowship for depression research from the Royal College of Physicians of Edinburgh , and a Lord Kelvin Adam Smith (LKAS) Fellowship from the University of Glasgow . RJS is supported by a University of Glasgow LKAS fellowship and a UKRI Innovation- HDR-UK Fellowship ( MR/S003061/1 ). DJS acknowledges the support of a Lister Prize Fellowship ( 173096 ). NS is funded by a Medical Research Council Doctoral Training Programme in Precision Medicine PhD studentship. The funders had no role in the design or analysis of this study, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2023 The Authors

PY - 2023/5/6

Y1 - 2023/5/6

U2 - 10.1016/j.jad.2023.04.138

DO - 10.1016/j.jad.2023.04.138

M3 - Article

SN - 0165-0327

VL - 335

SP - 83

EP - 94

JO - Journal of Affective Disorders (JAD)

JF - Journal of Affective Disorders (JAD)

ER -