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Smart bands effectiveness in sleep evaluation of a student sample
The use of smart bands to measure vital parameters is part of the trend of personal technology for health. With motion (accelerometer) and heart rate sensors, it is possible to access daily activity information such as physical exercise and sleep patterns, getting total bed time, sleeping and waking hours, and light and deep sleep.
Evaluation of the effectiveness of smart bands in recording sleep parameters.
Volunteers were 40 students from Universidade Federal Fluminense who spontaneously presented themselves to the study, answered the following questionnaires: Pittsburgh Sleep Quality Index, Insomnia Severity Index and ASSIST (screening of the use of Alcohol, tobacco, and other substances) and were instructed to wear a Xiaomi Mi Band™ bracelet for one week. Information on total sleep time, frequency and duration of nocturnal awakenings, sleeping and waking hours, and times of light and deep sleep were obtained through the bracelet. Parallelly, sleep diaries were filled in on the respective days and analyzed for coherence with data collected by the bracelet. In this study, data on correlations among collected parameters are presented.
There was a significant correlation (negative) between the following variables: deep and light sleep indicating that increased time in deep sleep decreases the time in light sleep. Number of night awakenings were precisely correlated to the time awake at night. An interesting correlation (negative) was found between deep sleep and nocturnal awakenings. However this last correlation was statistically significant at a unicaudal level. Insomnia complaining in the questionnaires correlated with total time sleeping in the smart bands. The Pittsburgh Sleep Quality Index questionnaire correlated positively with the Insomnia Severity Index.
There is coherence in data obtained through the variables measured by the smart bands. Therefore, they can be used to assess the quality of sleep. Coherence was also found between smart bands data and results of sleep evaluation questionnaires.
smart bands, sleep, student.
Universidade de São Paulo - Sao Paulo - Brasil, Universidade Federal Fluminense - Rio de Janeiro - Brasil, University of New York - - Estados Unidos
Lucas Caroli Cruz, Thiago Coronato Nunes, Vilma Aparecida da Silva Fonseca, Fernanda Romeiro Dias, Kaic Fiuza Campos, Bruno Gonçalves, Azizi Seixas, Jean Louis Girardin