Individual variability in physiological responses and psychological conditions associated with methamphetamine use: analysis of data obtained via a wearable device and mobile application (Preprint) DOI
Ayumi Takano, Katsuhiro Okuda, Jun Sese

et al.

Published: April 14, 2025

BACKGROUND Digital mental health approaches offer a novel means to monitor and reduce harms associated with substance use in daily life. However, limited evidence exists on their application methamphetamine (METH) use, particularly regarding individual variability physiological responses psychological conditions. OBJECTIVE This study aimed explore inter- intra-individual differences craving, emotion, heart rate METH using data collected from wearable device (Fitbit) mobile-based self-monitoring application. METHODS Participants were individuals disorder receiving outpatient treatment Japan. Seven participants who used during an 8-week observation period included the analysis. Physiological data, including sleep patterns, Fitbit devices, while self-reported craving intensity, emotional status recorded via mobile After syncing we visualized summarized patterns detail. Correlations between physiological/psychological indicators frequency of per day analyzed. In addition, trends before after events evaluated linear mixed effects model, both inter-individual also assessed. RESULTS Patterns varied widely across participants, it most commonly occurring morning or at night, regardless week. Craving negative emotions frequently reported METH-use days positively correlated number episodes day. more exhibited relatively higher resting rates. Following increased significantly remained elevated for up 9 hours. Sleep duration reduced absent days. Approximately 64% variance was attributable differences, 12% reflected within same individual. CONCLUSIONS demonstrates feasibility value digital tools examine conditions real-world settings. Persistent cardiovascular activation disrupted highlight potential risks long-term use. Individual responses, states underscore importance personalized intervention strategies. Integrating real-time self-monitoring, notifications rate, online cognitive behavioral therapy into therapeutic interventions may improve outcomes disorder. INTERNATIONAL REGISTERED REPORT RR2-10.2196/44275

Language: Английский

Individual variability in physiological responses and psychological conditions associated with methamphetamine use: analysis of data obtained via a wearable device and mobile application (Preprint) DOI
Ayumi Takano, Katsuhiro Okuda, Jun Sese

et al.

Published: April 14, 2025

BACKGROUND Digital mental health approaches offer a novel means to monitor and reduce harms associated with substance use in daily life. However, limited evidence exists on their application methamphetamine (METH) use, particularly regarding individual variability physiological responses psychological conditions. OBJECTIVE This study aimed explore inter- intra-individual differences craving, emotion, heart rate METH using data collected from wearable device (Fitbit) mobile-based self-monitoring application. METHODS Participants were individuals disorder receiving outpatient treatment Japan. Seven participants who used during an 8-week observation period included the analysis. Physiological data, including sleep patterns, Fitbit devices, while self-reported craving intensity, emotional status recorded via mobile After syncing we visualized summarized patterns detail. Correlations between physiological/psychological indicators frequency of per day analyzed. In addition, trends before after events evaluated linear mixed effects model, both inter-individual also assessed. RESULTS Patterns varied widely across participants, it most commonly occurring morning or at night, regardless week. Craving negative emotions frequently reported METH-use days positively correlated number episodes day. more exhibited relatively higher resting rates. Following increased significantly remained elevated for up 9 hours. Sleep duration reduced absent days. Approximately 64% variance was attributable differences, 12% reflected within same individual. CONCLUSIONS demonstrates feasibility value digital tools examine conditions real-world settings. Persistent cardiovascular activation disrupted highlight potential risks long-term use. Individual responses, states underscore importance personalized intervention strategies. Integrating real-time self-monitoring, notifications rate, online cognitive behavioral therapy into therapeutic interventions may improve outcomes disorder. INTERNATIONAL REGISTERED REPORT RR2-10.2196/44275

Language: Английский

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