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Slyepchenko A, Uher R, Ho K, Hassel S, Matthews C, Lukus PK, Daros AR, Minarik A, Placenza F, Li QS, Rotzinger S, Parikh SV, Foster JA, Turecki G, Müller DJ, Taylor VH, Quilty LC, Milev R, Soares CN, Kennedy SH, Lam RW, Frey BN. A standardized workflow for long-term longitudinal actigraphy data processing using one year of continuous actigraphy from the CAN-BIND Wellness Monitoring Study. Sci Rep 2023; 13:15300. [PMID: 37714910 PMCID: PMC10504311 DOI: 10.1038/s41598-023-42138-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 09/05/2023] [Indexed: 09/17/2023] Open
Abstract
Monitoring sleep and activity through wearable devices such as wrist-worn actigraphs has the potential for long-term measurement in the individual's own environment. Long periods of data collection require a complex approach, including standardized pre-processing and data trimming, and robust algorithms to address non-wear and missing data. In this study, we used a data-driven approach to quality control, pre-processing and analysis of longitudinal actigraphy data collected over the course of 1 year in a sample of 95 participants. We implemented a data processing pipeline using open-source packages for longitudinal data thereby providing a framework for treating missing data patterns, non-wear scoring, sleep/wake scoring, and conducted a sensitivity analysis to demonstrate the impact of non-wear and missing data on the relationship between sleep variables and depressive symptoms. Compliance with actigraph wear decreased over time, with missing data proportion increasing from a mean of 4.8% in the first week to 23.6% at the end of the 12 months of data collection. Sensitivity analyses demonstrated the importance of defining a pre-processing threshold, as it substantially impacts the predictive value of variables on sleep-related outcomes. We developed a novel non-wear algorithm which outperformed several other algorithms and a capacitive wear sensor in quality control. These findings provide essential insight informing study design in digital health research.
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Affiliation(s)
- Anastasiya Slyepchenko
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Keith Ho
- Centre for Depression and Suicide Studies, St. Michael's Hospital, Toronto, ON, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Craig Matthews
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada
| | - Patricia K Lukus
- Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Alexander R Daros
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Anna Minarik
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Franca Placenza
- University Health Network, University of Toronto, Toronto, ON, Canada
| | - Qingqin S Li
- Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, 08560, USA
| | - Susan Rotzinger
- Centre for Depression and Suicide Studies, St. Michael's Hospital, Toronto, ON, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, USA
| | - Jane A Foster
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, Dallas, TX, USA
| | - Gustavo Turecki
- Douglas Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Daniel J Müller
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Valerie H Taylor
- Department of Psychiatry, Cumming School of Medicine, and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Lena C Quilty
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Roumen Milev
- Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada
| | - Claudio N Soares
- Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada
| | - Sidney H Kennedy
- Centre for Depression and Suicide Studies, St. Michael's Hospital, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada.
- Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
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