Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors

As sleep duration and quality are associated with various diseases, many devices have been developed to assess sleep. We reviewed the devices used to assess sleep and their performance, focusing on Fitbit, one of the most popular devices for tracking sleep. Although previous studies have reported conflicting results regarding Fitbit’s estimation of the sleep index, most studies have shown that it has acceptable accuracy and high sensitivity. Its performance could be affected by various factors such as participants’ sleep characteristics, sleep hours and stages, analysis methods, devices compared, device models and settings, and the dominant/non-dominant wrist wearing the device. Therefore, these factors should be considered when using Fitbit to assess sleep patterns.

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Publication Details

Journal
Journal of Sleep Medicine
Published
2024-08-31
DOI
https://doi.org/10.13078/jsm.240010
Citations
11
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
5.58

Funders

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article

Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors

Kyuhyun Yoon, Jayeun Kim, Eun Kyoung Ahn, Ji‐Eun Park
11 citations
Journal of Sleep Medicine
Sleep and related disorders
5.58
article

Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors

Kyuhyun Yoon, Jayeun Kim, Eun Kyoung Ahn, Ji‐Eun Park
article en
11 citations

Abstract

As sleep duration and quality are associated with various diseases, many devices have been developed to assess sleep. We reviewed the devices used to assess sleep and their performance, focusing on Fitbit, one of the most popular devices for tracking sleep. Although previous studies have reported conflicting results regarding Fitbit’s estimation of the sleep index, most studies have shown that it has acceptable accuracy and high sensitivity. Its performance could be affected by various factors such as participants’ sleep characteristics, sleep hours and stages, analysis methods, devices compared, device models and settings, and the dominant/non-dominant wrist wearing the device. Therefore, these factors should be considered when using Fitbit to assess sleep patterns.

Journal of Sleep MedicineVol. 21(2)
Seoul National University (KR), Korea Institute of Oriental Medicine (KR)
Korea Institute of Oriental Medicine
Good health and well-being
Openalex Percentile: Top 4%
Sleep and related disorders
5.58
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