Work

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

Year: 2024

Type: article

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.

Source: Journal of Sleep Medicine

DOI: 10.13078/jsm.240010

Authors: Ji-Eun Park, Eun Kyoung Ahn, Kyuhyun Yoon, Jayeun Kim

Institutions: Korea Institute of Oriental Medicine, Seoul National University, Korea Institute of Child Care & Education

Language: English

Topic: Sleep and related disorders

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Korea Institute of Oriental Medicine