Wearable Sensor and Mobile App-Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study.

Takano, Ayumi; Ono, Koki; Nozawa, Kyosuke; Sato, Makito; Onuki, Masaki; Sese, Jun; Yumoto, Yosuke; Matsushita, Sachio; Matsumoto, Toshihiko

Takano, Ayumi; Ono, Koki; Nozawa, Kyosuke; Sato, Makito; Onuki, Masaki; Sese, Jun; Yumoto, Yosuke; Matsushita, Sachio; Matsumoto, Toshihiko.

Afiliación

Takano A; Department of Mental Health and Psychiatric Nursing, Tokyo Medical and Dental University, Tokyo, Japan.
Ono K; Department of Clinical Information Engineering, The University of Tokyo, Tokyo, Japan.
Nozawa K; Department of Mental Health and Psychiatric Nursing, Osaka University, Osaka, Japan.
Sato M; Humanome Lab, Inc, Tokyo, Japan.
Onuki M; Humanome Lab, Inc, Tokyo, Japan.
Sese J; Humanome Lab, Inc, Tokyo, Japan.
Yumoto Y; National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Japan.
Matsushita S; National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Japan.
Matsumoto T; Department of Drug Dependence Research, National Center of Neurology and Psychiatry, Tokyo, Japan.

JMIR Res Protoc ; 12: e44275, 2023 Apr 11.

Article en En | MEDLINE | ID: mdl-37040162

Palabras clave

Fitbit; alcohol and drug use; alcoholism; digital health; drug use; ecological momentary assessment; ecological momentary intervention; electronic health record; mHealth; machine learning; mobile app; self-monitoring; wearables devices

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: JMIR Res Protoc Año: 2023 Tipo del documento: Article País de afiliación: Japón

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