Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study

Abstract BackgroundEnvironmental exposures such as heat and air pollution are critical determinants of health, yet traditional assessment methods rely on stationary monitors or residential address proxies that fail to capture the exposures that individuals experience throughou...

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出版年:JMIR Formative Research
主要な著者: Sameera Ramjan, Melissa Blum, Rung-Yu Tseng, Katherine Davey, Ahmed Duke Shereen, Yoko Nomura
フォーマット: 論文
言語:英語
出版事項: JMIR Publications 2026-05-01
オンライン・アクセス:https://formative.jmir.org/2026/1/e86615
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author Sameera Ramjan
Melissa Blum
Rung-Yu Tseng
Katherine Davey
Ahmed Duke Shereen
Yoko Nomura
author_facet Sameera Ramjan
Melissa Blum
Rung-Yu Tseng
Katherine Davey
Ahmed Duke Shereen
Yoko Nomura
author_sort Sameera Ramjan
collection DOAJ
container_title JMIR Formative Research
description Abstract BackgroundEnvironmental exposures such as heat and air pollution are critical determinants of health, yet traditional assessment methods rely on stationary monitors or residential address proxies that fail to capture the exposures that individuals experience throughout the day. ObjectiveThis pilot study aimed to assess the feasibility of integrating ecological momentary assessment (EMA), wearable devices, and continuous GPS tracking to capture real-time environmental exposures and to explore associations with concurrent health outcomes. MethodsIn total, 7 young adults (aged approximately 16 to 24 years; 5/7, 71% female) wore Fitbit Charge 6 watches from July 2025 to August 2025 (mean 28.1, SD 1.1 days), recording sleep quality and duration, resting heart rate, breathing rate, heart rate variability, and physical activity. GPS location measured at up to 5-minute intervals (mean 19.7, SD 25.8 measurements per day) was linked to ambient temperature, humidity, and air pollution data ( ResultsOf the 7 participants, 5 (71%) met predefined feasibility targets. Mean compliance included 565 (SD 457) GPS coordinates per participant, 1.4 (SD 0.2) EMA surveys per day, and complete Fitbit sleep data on 64% (SD 27%) of days. Surveys identified barriers to compliance, including perceived complexity of the system and forgetting to put the Fitbit watch back on after removing it. Exploratory correlations (6/7, 86% of participants with complete Fitbit data) revealed associations between ConclusionsThis study demonstrates that the multimodal integration of wearable devices, GPS tracking, and EMA is feasible for capturing real-time environmental exposures and concurrent health outcomes in young adults. This approach addresses critical exposure misclassification issues in environmental health research that relies on residential addresses as proxies. Preliminary patterns suggest complex relationships between environmental exposures and both physiological and emotional outcomes, warranting further investigation in larger, more diverse samples. This approach could inform future personalized environmental health interventions.
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spelling doaj-art-e510dfdcfeb64d1bbedd2181598a7cfe2026-05-15T18:40:58ZengJMIR PublicationsJMIR Formative Research2561-326X2026-05-0110e86615e8661510.2196/86615Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept StudySameera Ramjanhttp://orcid.org/0000-0003-4311-5353Melissa Blumhttp://orcid.org/0000-0001-5372-9004Rung-Yu Tsenghttp://orcid.org/0009-0007-9779-8280Katherine Daveyhttp://orcid.org/0009-0001-5315-2505Ahmed Duke Shereenhttp://orcid.org/0000-0002-2293-5611Yoko Nomurahttp://orcid.org/0000-0002-2143-3257 Abstract BackgroundEnvironmental exposures such as heat and air pollution are critical determinants of health, yet traditional assessment methods rely on stationary monitors or residential address proxies that fail to capture the exposures that individuals experience throughout the day. ObjectiveThis pilot study aimed to assess the feasibility of integrating ecological momentary assessment (EMA), wearable devices, and continuous GPS tracking to capture real-time environmental exposures and to explore associations with concurrent health outcomes. MethodsIn total, 7 young adults (aged approximately 16 to 24 years; 5/7, 71% female) wore Fitbit Charge 6 watches from July 2025 to August 2025 (mean 28.1, SD 1.1 days), recording sleep quality and duration, resting heart rate, breathing rate, heart rate variability, and physical activity. GPS location measured at up to 5-minute intervals (mean 19.7, SD 25.8 measurements per day) was linked to ambient temperature, humidity, and air pollution data ( ResultsOf the 7 participants, 5 (71%) met predefined feasibility targets. Mean compliance included 565 (SD 457) GPS coordinates per participant, 1.4 (SD 0.2) EMA surveys per day, and complete Fitbit sleep data on 64% (SD 27%) of days. Surveys identified barriers to compliance, including perceived complexity of the system and forgetting to put the Fitbit watch back on after removing it. Exploratory correlations (6/7, 86% of participants with complete Fitbit data) revealed associations between ConclusionsThis study demonstrates that the multimodal integration of wearable devices, GPS tracking, and EMA is feasible for capturing real-time environmental exposures and concurrent health outcomes in young adults. This approach addresses critical exposure misclassification issues in environmental health research that relies on residential addresses as proxies. Preliminary patterns suggest complex relationships between environmental exposures and both physiological and emotional outcomes, warranting further investigation in larger, more diverse samples. This approach could inform future personalized environmental health interventions.https://formative.jmir.org/2026/1/e86615
spellingShingle Sameera Ramjan
Melissa Blum
Rung-Yu Tseng
Katherine Davey
Ahmed Duke Shereen
Yoko Nomura
Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title_full Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title_fullStr Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title_full_unstemmed Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title_short Feasibility of Integrating Wearable Devices and Ecological Momentary Assessment for Real-Time Environmental Exposure Estimation: Proof-of-Concept Study
title_sort feasibility of integrating wearable devices and ecological momentary assessment for real time environmental exposure estimation proof of concept study
url https://formative.jmir.org/2026/1/e86615
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