Pioneering a multi-phase framework to harmonize self-reported sleep data across cohorts.

Autor: Wallace ML; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA., Redline S; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Oryshkewych N; University of Pittsburgh Medical Center, Pittsburgh, PA, USA., Hoepel SJW; Department of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands., Luik AI; Department of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands.; Trimbos Institute - The Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands., Stone KL; California Pacific Medical Center, San Francisco, CA, USA., Kolko RP; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA., Chung J; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Leng Y; Department of Psychiatry and Behavioral Sciences, University of California at San Francisco, San Franciso, CA, USA., Robbins R; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Zhang Y; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA., Barnes LL; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA., Lim AS; Department of Neurology, University of Toronto, Toronto, ON, Canada., Yu L; Department of Medicine, University of Pittsburgh School, Pittsburgh, PA, USA., Buysse DJ; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Jazyk: angličtina
Zdroj: Sleep [Sleep] 2024 Sep 09; Vol. 47 (9).
DOI: 10.1093/sleep/zsae115
Abstrakt: Study Objectives: Harmonizing and aggregating data across studies enables pooled analyses that support external validation and enhance replicability and generalizability. However, the multidimensional nature of sleep poses challenges for data harmonization and aggregation. Here we describe and implement our process for harmonizing self-reported sleep data.
Methods: We established a multi-phase framework to harmonize self-reported sleep data: (1) compile items, (2) group items into domains, (3) harmonize items, and (4) evaluate harmonizability. We applied this process to produce a pooled multi-cohort sample of five US cohorts plus a separate yet fully harmonized sample from Rotterdam, Netherlands. Sleep and sociodemographic data are described and compared to demonstrate the utility of harmonization and aggregation.
Results: We collected 190 unique self-reported sleep items and grouped them into 15 conceptual domains. Using these domains as guiderails, we developed 14 harmonized items measuring aspects of satisfaction, alertness/sleepiness, timing, efficiency, duration, insomnia, and sleep apnea. External raters determined that 13 of these 14 items had moderate-to-high harmonizability. Alertness/Sleepiness items had lower harmonizability, while continuous, quantitative items (e.g. timing, total sleep time, and efficiency) had higher harmonizability. Descriptive statistics identified features that are more consistent (e.g. wake-up time and duration) and more heterogeneous (e.g. time in bed and bedtime) across samples.
Conclusions: Our process can guide researchers and cohort stewards toward effective sleep harmonization and provide a foundation for further methodological development in this expanding field. Broader national and international initiatives promoting common data elements across cohorts are needed to enhance future harmonization and aggregation efforts.
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Databáze: MEDLINE