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      • Record: found
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      Protocol of the Budapest sleep, experiences, and traits study: An accessible resource for understanding associations between daily experiences, individual differences, and objectively measured sleep

      research-article
      Author(s): , , * ,
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      Publication date (Electronic):
      Journal: PLOS ONE
      Publisher: Public Library of Science

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          Abstract

          Sleep is both a neurophysiological state and a biologically necessary behavior that performs a variety of indispensable roles for human health, development, and cognitive functioning. Despite this, comparatively little is known about the relationships between daily experiences and sleep features. Importantly, these relationships are bidirectional in nature, may be differently associated with subjectively and objectively assessed sleep, and may also be modulated by individual differences To address this challenge, we created the Budapest Sleep, Experiences, and Traits Study (BSETS), a multidisciplinary observational sleep study utilizing novel remote EEG devices. BSETS was designed to establish a dataset for future use in investigating the relationships between sleep features and daily experiences. In this paper we describe the protocol of the currently ongoing BSETS, which examines a community-dwelling sample of over 250 healthy participants who are studied in a naturalistic setting using a large questionnaire assessing psychological, demographic, and anthropometric information, as well as evening/morning diaries of sleep and daily experiences, and mobile EEG recordings over a period of 7 days. This dataset will become an accessible resource to the wider scientific community and can be utilized to investigate the complex multidirectional relationships between objectively and subjectively measured sleep, daily experiences, and individual differences, bestowing it with significant value for sleep researchers as well as practitioners working in clinical settings with patients suffering from disordered sleep.

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          Most cited references81

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          The PHQ-9: validity of a brief depression severity measure.

          K Kroenke, R L Spitzer, J B Williams (2001)
          While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
          Article 0 comments Cited 7626 times – based on 0 reviews     Review now
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            The assessment and analysis of handedness: The Edinburgh inventory

            R.C. Oldfield (1971)
            Article 0 comments Cited 3325 times – based on 0 reviews     Review now
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              Sleep drives metabolite clearance from the adult brain.

              Lulu Xie, Hongyi Kang, Qiwu Xu … (2013)
              The conservation of sleep across all animal species suggests that sleep serves a vital function. We here report that sleep has a critical function in ensuring metabolic homeostasis. Using real-time assessments of tetramethylammonium diffusion and two-photon imaging in live mice, we show that natural sleep or anesthesia are associated with a 60% increase in the interstitial space, resulting in a striking increase in convective exchange of cerebrospinal fluid with interstitial fluid. In turn, convective fluxes of interstitial fluid increased the rate of β-amyloid clearance during sleep. Thus, the restorative function of sleep may be a consequence of the enhanced removal of potentially neurotoxic waste products that accumulate in the awake central nervous system.
              Article 0 comments Cited 1167 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Wael Taji:
                ORCID: https://orcid.org/0000-0002-2111-2410
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Róbert Pierson: Role: Data curationRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Péter Przemyslaw Ujma:
                ORCID: https://orcid.org/0000-0002-7981-3009
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Luigi Borzì: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS One
                Journal ID (publisher-id): plos
                Title: PLOS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 19 October 2023
                Publication date Collection: 2023
                Volume: 18
                Issue: 10
                Electronic Location Identifier: e0288909
                Affiliations
                [001] Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
                Politecnico di Torino, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2111-2410
                https://orcid.org/0000-0002-7981-3009
                Article
                Publisher ID: PONE-D-23-10162
                DOI: 10.1371/journal.pone.0288909
                PMC ID: 10586695
                PubMed ID: 37856524
                SO-VID: e73598df-7850-4e9c-9a8f-9b41803c18f1
                Copyright © © 2023 Taji et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 6 April 2023
                Date accepted : 7 July 2023
                Page count
                Figures: 3, Tables: 8, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012550, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap;
                Award ID: OTKA PD 138935
                Award Recipient : Ujma Przemyslaw Péter
                PPU was supported by grant OTKA PD 138935, received from the National Research, Development and Innovation Fund of the Ministry of Innovation and Technology ( https://nkfih.gov.hu/). The funders did not and will not have a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Subject: Study Protocol
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Physiological Processes
                Subject: Sleep
                Subject: Research and Analysis Methods
                Subject: Bioassays and Physiological Analysis
                Subject: Electrophysiological Techniques
                Subject: Brain Electrophysiology
                Subject: Electroencephalography
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Electrophysiology
                Subject: Neurophysiology
                Subject: Brain Electrophysiology
                Subject: Electroencephalography
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neurophysiology
                Subject: Brain Electrophysiology
                Subject: Electroencephalography
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Brain Mapping
                Subject: Electroencephalography
                Subject: Medicine and Health Sciences
                Subject: Clinical Medicine
                Subject: Clinical Neurophysiology
                Subject: Electroencephalography
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Neuroimaging
                Subject: Electroencephalography
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Electroencephalography
                Subject: Research and Analysis Methods
                Subject: Research Design
                Subject: Observational Studies
                Subject: Medicine and Health Sciences
                Subject: Medical Conditions
                Subject: Sleep Disorders
                Subject: Dyssomnias
                Subject: Insomnia
                Subject: Medicine and Health Sciences
                Subject: Neurology
                Subject: Sleep Disorders
                Subject: Dyssomnias
                Subject: Insomnia
                Subject: Medicine and Health Sciences
                Subject: Mental Health and Psychiatry
                Subject: Mood Disorders
                Subject: Depression
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cognitive Science
                Subject: Cognitive Psychology
                Subject: Clinical Psychology
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Clinical Psychology
                Subject: Social Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Clinical Psychology
                Subject: Research and Analysis Methods
                Subject: Mathematical and Statistical Techniques
                Subject: Statistical Methods
                Subject: Metaanalysis
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Statistics
                Subject: Statistical Methods
                Subject: Metaanalysis
                Subject: Engineering and Technology
                Subject: Measurement
                Custom metadata
                Data Availability Supplementary data and code used for the analyses described in this paper are available at https://zenodo.org/record/7799130. The Supplementary data also includes a preliminary version of the BSETS database, complete with hypnogram data and bandwise EEG power. Information about daily events, potentially containing identifying information, was deleted, and variable names and responses in Hungarian were only translated for key variables. Additional information about data and (upon its completion) the full dataset will be made available to interested researchers. We ask those interested in publishing using BSETS data to consult with the authors of this paper before using the data.

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