Assessment of Smartwatch SAMSUNG to Monitor Sleep Quality: an Observational Prospective Study - SleepEx2 Protocol

NCT ID: NCT06363656

Last Updated: 2024-08-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

158 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-02-15

Study Completion Date

2024-06-28

Brief Summary

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The goal of this study is to learn if a smartwatch is effective to identify factors related to sleep quality and habits of adults (30 years old or more), enabling the improvement and/or creation of instruments to assess overall health status and sleep quality.

The main question it aims to answer is:

\- Does the smartwatch application (software) indicate sleep habits and measure sleep quality in accordance to the standardized clinical instruments commonly used to assess sleep?

Detailed Description

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Participants will answer questionnaires about overall health status, sleep quality and insomnia at the beginning, at 16 days follow-up, and at the end of the study. Participants must use the smartwatch for at least a 12-hour period that includes night time, during a minimum of 30 consecutive days.

Conditions

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Insomnia Sleep Initiation and Maintenance Disorders Health Status Wearable Electronic Devices Sleep

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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single-group

Participants who declare having problems with sleeping/insomnia

Wears the smartwatch during the sleep time to capture sleep characteristics and answer questionaires

Intervention Type DEVICE

* Synchronization of smartwatch with smartphone (internet connection) to send sleep characteristics captured by the application
* Weight
* Height
* Body measurements (circumferences)
* Questionnaires about overall health status
* Pittsburgh Sleep Quality Index questionnaire
* Insomnia Severity Index
* Sleep Hygiene Index
* Epworth Sleepiness Scale
* NoSAS score (Neck, Obesity, Snoring, Age, Sex)

Interventions

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Wears the smartwatch during the sleep time to capture sleep characteristics and answer questionaires

* Synchronization of smartwatch with smartphone (internet connection) to send sleep characteristics captured by the application
* Weight
* Height
* Body measurements (circumferences)
* Questionnaires about overall health status
* Pittsburgh Sleep Quality Index questionnaire
* Insomnia Severity Index
* Sleep Hygiene Index
* Epworth Sleepiness Scale
* NoSAS score (Neck, Obesity, Snoring, Age, Sex)

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Adults (30 years old or more);
* Minimum score of 7 on Pittsburgh Sleep Quality Index;
* Capable of giving consent.

Exclusion Criteria

* Night shift workers;
* Skin condition that may interfere with optic sensor readings - such as Lupus, Atopic Dermatitis, Vitiligo;
* Tattoo on the wrist area that may interfere with optic sensor readings;
* Allergies or sensitivities to the components/materials of the smartwatch;
* Health condition that may be considered risky/unsafe by the medical team;
* Pregnant women.
Minimum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Sao Paulo General Hospital

OTHER

Sponsor Role lead

Responsible Party

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Geraldo Lorenzi Filho

Director, Head of the Sleep Laboratory, Principal Investigator, Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Geraldo Lorenzi Filho, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Sleep Laboratory, Instituto do Coração, Hospital das Clínicas HCFMUSP

Locations

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Instituto do Coracao do Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo

São Paulo, , Brazil

Site Status

Countries

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Brazil

References

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Massoomi MR, Handberg EM. Increasing and Evolving Role of Smart Devices in Modern Medicine. Eur Cardiol. 2019 Dec 18;14(3):181-186. doi: 10.15420/ecr.2019.02. eCollection 2019 Dec.

Reference Type BACKGROUND
PMID: 31933689 (View on PubMed)

Knutson KL, Phelan J, Paskow MJ, Roach A, Whiton K, Langer G, Hillygus DS, Mokrzycki M, Broughton WA, Chokroverty S, Lichstein KL, Weaver TE, Hirshkowitz M. The National Sleep Foundation's Sleep Health Index. Sleep Health. 2017 Aug;3(4):234-240. doi: 10.1016/j.sleh.2017.05.011. Epub 2017 Jun 20.

Reference Type BACKGROUND
PMID: 28709508 (View on PubMed)

Kasai T, Floras JS, Bradley TD. Sleep apnea and cardiovascular disease: a bidirectional relationship. Circulation. 2012 Sep 18;126(12):1495-510. doi: 10.1161/CIRCULATIONAHA.111.070813. No abstract available.

Reference Type BACKGROUND
PMID: 22988046 (View on PubMed)

Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007 Mar;28(3):R1-39. doi: 10.1088/0967-3334/28/3/R01. Epub 2007 Feb 20.

Reference Type BACKGROUND
PMID: 17322588 (View on PubMed)

Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP; Apple Heart Study Investigators. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909-1917. doi: 10.1056/NEJMoa1901183.

Reference Type BACKGROUND
PMID: 31722151 (View on PubMed)

Fonseca P, Weysen T, Goelema MS, Most EIS, Radha M, Lunsingh Scheurleer C, van den Heuvel L, Aarts RM. Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults. Sleep. 2017 Jul 1;40(7). doi: 10.1093/sleep/zsx097.

Reference Type BACKGROUND
PMID: 28838130 (View on PubMed)

Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Miozzo IC, de Barba ME, Barreto SS. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med. 2011 Jan;12(1):70-5. doi: 10.1016/j.sleep.2010.04.020. Epub 2010 Dec 9.

Reference Type BACKGROUND
PMID: 21145786 (View on PubMed)

Tonon AC, Amando GR, Carissimi A, Freitas JJ, Xavier NB, Caumo GH, Silva LG, de Souza DOG, Hidalgo MP. The Brazilian-Portuguese version of the Sleep Hygiene Index (SHI): validity, reliability and association with depressive symptoms and sleep-related outcomes. Sleep Sci. 2020 Jan-Mar;13(1):37-48. doi: 10.5935/1984-0063.20190130.

Reference Type BACKGROUND
PMID: 32670491 (View on PubMed)

Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Menna Barreto SS, Johns MW. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil. J Bras Pneumol. 2009 Sep;35(9):877-83. doi: 10.1590/s1806-37132009000900009. English, Portuguese.

Reference Type BACKGROUND
PMID: 19820814 (View on PubMed)

Castro LS. Adaptação e validação do Índice de Gravidade de Insônia (IGI): Caracterização Populacional, Valores Normativos e Aspectos Associados 2011 [Available from: http://repositorio.unifesp.br/handle/11600/23193.

Reference Type BACKGROUND

Coutinho Costa J, Rebelo-Marques A, Machado JN, Gama JMR, Santos C, Teixeira F, Moita J. Validation of NoSAS (Neck, Obesity, Snoring, Age, Sex) score as a screening tool for obstructive sleep apnea: Analysis in a sleep clinic. Pulmonology. 2019 Sep-Oct;25(5):263-270. doi: 10.1016/j.pulmoe.2019.04.004. Epub 2019 Jun 10.

Reference Type BACKGROUND
PMID: 31196834 (View on PubMed)

Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, McLeod L, Delacqua G, Delacqua F, Kirby J, Duda SN; REDCap Consortium. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.

Reference Type BACKGROUND
PMID: 31078660 (View on PubMed)

Other Identifiers

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76455623.5.0000.0068

Identifier Type: -

Identifier Source: org_study_id

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