Katie M White

King’s College London

United Kingdom

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Articles (18)

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2025

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2024

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2024

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2022

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2022

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2022

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2021

Collaborators (16)

Zulqarnain Rashid

King’s College London

UNITED KINGDOM

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Daniel Leightley

King’s College London

UNITED KINGDOM

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richard dobson

King’s College London

UNITED KINGDOM

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Sara Simblett

King’s College London

UNITED KINGDOM

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Amos A. Folarin

UNITED KINGDOM

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Yuezhou Zhang

King's College London

UNITED KINGDOM

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Jordi Aguiló

University of Barcelona

SPAIN

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Inez Myin-Germeys

Prof.

KU Leuven

BELGIUM

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Faith Matcham

King’s College London

UNITED KINGDOM

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Femke Lamers

Assistant professor

VU medisch centrum

NETHERLANDS

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Linglong Qian

King's College London

UNITED KINGDOM

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Mark Penningon

King’s College London

UNITED KINGDOM

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Sara Siddi

Contract professor

Universitat de Girona

SPAIN

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Clarissa M. Odoi

King’s College London

UNITED KINGDOM

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Judith Dineley

King’s College London

UNITED KINGDOM

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Nicholas Cummins

Lecturer

King’s College London

UNITED KINGDOM

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Katie M White

Research Interests

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Articles (18)

Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorder

The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing

Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression

Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings

Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression

Smartphone-based alcohol interventions

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility

The association between persistent cognitive difficulties and depression and functional outcomes in people with major depressive disorder

Exploring the Effects of In-App Components on Engagement with a Symptom-Tracking Platform among Participants with Major Depressive Disorder (RADAR-Engage)

Collaborators (16)

Zulqarnain Rashid

Daniel Leightley

richard dobson

Sara Simblett

Amos A. Folarin

Yuezhou Zhang

Jordi Aguiló

Inez Myin-Germeys

Faith Matcham

Femke Lamers

Linglong Qian

Mark Penningon

Sara Siddi

Clarissa M. Odoi

Judith Dineley

Nicholas Cummins

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