Detalhe da pesquisa
1.
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.
J Med Internet Res
; 25: e45233, 2023 08 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37578823
2.
Trajectories of mental health among UK university staff and postgraduate students during the pandemic.
Occup Environ Med
; 79(8): 514-520, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35307649
3.
Mental health among UK university staff and postgraduate students in the early stages of the COVID-19 pandemic.
Occup Environ Med
; 79(4): 259-267, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34675129
4.
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study.
BMC Psychiatry
; 22(1): 136, 2022 02 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-35189842
5.
Indicators of recent COVID-19 infection status: findings from a large occupational cohort of staff and postgraduate research students from a UK university.
BMC Public Health
; 22(1): 1514, 2022 08 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35945541
6.
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology.
BMC Psychiatry
; 21(1): 435, 2021 09 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-34488697
7.
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
J Affect Disord
; 355: 40-49, 2024 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38552911
8.
Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis.
JMIR Hum Factors
; 10: e39479, 2023 Jan 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36701179
9.
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis.
J Affect Disord
; 341: 128-136, 2023 11 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37598722
10.
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
NPJ Digit Med
; 6(1): 25, 2023 Feb 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-36806317
11.
A systematic review of engagement reporting in remote measurement studies for health symptom tracking.
NPJ Digit Med
; 5(1): 82, 2022 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35768544
12.
Digital health tools for the passive monitoring of depression: a systematic review of methods.
NPJ Digit Med
; 5(1): 3, 2022 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35017634
13.
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder.
NPJ Digit Med
; 5(1): 133, 2022 Sep 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36057688
14.
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study.
JMIR Ment Health
; 9(3): e34898, 2022 Mar 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35275087
15.
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.
JMIR Mhealth Uhealth
; 10(10): e40667, 2022 10 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36194451
16.
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis.
J Clin Med
; 11(23)2022 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36498739
17.
Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study.
JMIR Mhealth Uhealth
; 9(7): e29840, 2021 07 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-34328441