Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness
ObjectReal-world data from wearable devices has the potential to understand mental health status in everyday life. We aimed to investigate the feasibility of estimating mental health status using a wrist-worn wearable device (Fitbit Sense) that measures movement using a 3D accelerometer and optical...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1189765/full |
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| author | Kazuyuki Nakagome Manabu Makinodan Mitsuhiro Uratani Masaki Kato Norio Ozaki Norio Ozaki Seiko Miyata Kunihiro Iwamoto Naoki Hashimoto Atsuhito Toyomaki Kazuo Mishima Masaya Ogasawara Masahiro Takeshima Kazumichi Minato Toshikazu Fukami Mari Oba Kazuyoshi Takeda Hideki Oi |
| author_facet | Kazuyuki Nakagome Manabu Makinodan Mitsuhiro Uratani Masaki Kato Norio Ozaki Norio Ozaki Seiko Miyata Kunihiro Iwamoto Naoki Hashimoto Atsuhito Toyomaki Kazuo Mishima Masaya Ogasawara Masahiro Takeshima Kazumichi Minato Toshikazu Fukami Mari Oba Kazuyoshi Takeda Hideki Oi |
| author_sort | Kazuyuki Nakagome |
| collection | DOAJ |
| description | ObjectReal-world data from wearable devices has the potential to understand mental health status in everyday life. We aimed to investigate the feasibility of estimating mental health status using a wrist-worn wearable device (Fitbit Sense) that measures movement using a 3D accelerometer and optical pulse photoplethysmography (PPG).MethodsParticipants were 110 patients with mental illnesses from different diagnostic groups. The study was undertaken between 1 October 2020 and 31 March 2021. Participants wore a Fitbit Sense on their wrist and also completed the State–Trait Anxiety Inventory (STAI), Positive and Negative Affect Schedule (PANAS), and EuroQol 5 dimensions 5-level (EQ-5D-5L) during the study period. To determine heart rate (HR) variability (HRV), we calculated the sdnn (standard deviation of the normal-to-normal interval), coefficient of variation of R-R intervals, and mean HR separately for each sleep stage and the daytime. The association between mental health status and HR and HRV was analyzed.ResultsThe following significant correlations were found in the wake after sleep onset stage within 3 days of mental health status assessment: sdnn, HR and STAI scores, HR and PANAS scores, HR and EQ-5D-5L scores. The association between mental health status and HR and HRV was stronger the closer the temporal distance between mental health status assessment and HR measurement.ConclusionA wrist-worn wearable device that measures PPG signals was feasible for use with patients with mental illness. Resting state HR and HRV could be used as an objective assessment of mental health status within a few days of measurement. |
| first_indexed | 2024-03-12T22:45:05Z |
| format | Article |
| id | doaj.art-4b9ca1c733fa4b6c927c2ead13d4c801 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-03-12T22:45:05Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-4b9ca1c733fa4b6c927c2ead13d4c8012023-07-21T06:25:59ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402023-07-011410.3389/fpsyt.2023.11897651189765Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illnessKazuyuki Nakagome0Manabu Makinodan1Mitsuhiro Uratani2Masaki Kato3Norio Ozaki4Norio Ozaki5Seiko Miyata6Kunihiro Iwamoto7Naoki Hashimoto8Atsuhito Toyomaki9Kazuo Mishima10Masaya Ogasawara11Masahiro Takeshima12Kazumichi Minato13Toshikazu Fukami14Mari Oba15Kazuyoshi Takeda16Hideki Oi17Department of Psychiatry, National Center of Neurology and Psychiatry, Kodaira, JapanDepartment of Psychiatry, Nara Medical University, Kashihara, JapanDepartment of Psychiatry, Nara Medical University, Kashihara, JapanDepartment of Neuropsychiatry, Kansai Medical University, Hirakata, JapanPathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, JapanDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, JapanDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, JapanDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, JapanDepartment of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, JapanDepartment of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, JapanDepartment of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, JapanDepartment of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, JapanDepartment of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, JapanTechDoctor Inc., Tokyo, JapanTechDoctor Inc., Tokyo, JapanDepartment of Clinical Data Science, National Center of Neurology and Psychiatry, Kodaira, JapanDepartment of Clinical Data Science, National Center of Neurology and Psychiatry, Kodaira, JapanDepartment of Clinical Data Science, National Center of Neurology and Psychiatry, Kodaira, JapanObjectReal-world data from wearable devices has the potential to understand mental health status in everyday life. We aimed to investigate the feasibility of estimating mental health status using a wrist-worn wearable device (Fitbit Sense) that measures movement using a 3D accelerometer and optical pulse photoplethysmography (PPG).MethodsParticipants were 110 patients with mental illnesses from different diagnostic groups. The study was undertaken between 1 October 2020 and 31 March 2021. Participants wore a Fitbit Sense on their wrist and also completed the State–Trait Anxiety Inventory (STAI), Positive and Negative Affect Schedule (PANAS), and EuroQol 5 dimensions 5-level (EQ-5D-5L) during the study period. To determine heart rate (HR) variability (HRV), we calculated the sdnn (standard deviation of the normal-to-normal interval), coefficient of variation of R-R intervals, and mean HR separately for each sleep stage and the daytime. The association between mental health status and HR and HRV was analyzed.ResultsThe following significant correlations were found in the wake after sleep onset stage within 3 days of mental health status assessment: sdnn, HR and STAI scores, HR and PANAS scores, HR and EQ-5D-5L scores. The association between mental health status and HR and HRV was stronger the closer the temporal distance between mental health status assessment and HR measurement.ConclusionA wrist-worn wearable device that measures PPG signals was feasible for use with patients with mental illness. Resting state HR and HRV could be used as an objective assessment of mental health status within a few days of measurement.https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1189765/fullanxietyheart rateMental Illness Registryquality of lifewearable device |
| spellingShingle | Kazuyuki Nakagome Manabu Makinodan Mitsuhiro Uratani Masaki Kato Norio Ozaki Norio Ozaki Seiko Miyata Kunihiro Iwamoto Naoki Hashimoto Atsuhito Toyomaki Kazuo Mishima Masaya Ogasawara Masahiro Takeshima Kazumichi Minato Toshikazu Fukami Mari Oba Kazuyoshi Takeda Hideki Oi Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness Frontiers in Psychiatry anxiety heart rate Mental Illness Registry quality of life wearable device |
| title | Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness |
| title_full | Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness |
| title_fullStr | Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness |
| title_full_unstemmed | Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness |
| title_short | Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness |
| title_sort | feasibility of a wrist worn wearable device for estimating mental health status in patients with mental illness |
| topic | anxiety heart rate Mental Illness Registry quality of life wearable device |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1189765/full |
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