Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging

Teo, Jing Xian; Dávila, Sonia; Yang, Chengxi; Pua, Chee Jian; Yap, Jonathan; Tan, Swee Yaw; Sahlén, Anders; Chin, Calvin Woon-Loong; Teh, Bin Tean; Rozen, Steven G.; Cook, Stuart A.; Yeo, Khung Keong; Tan, Patrick; Lim, Weng Khong

doi:10.1101/527077

Cited by 6 publications

References 46 publications

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Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives

Fonseka¹,

Woo²

2021

JMIR Mhealth Uhealth

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With one in five adults in the United States owning a smartwatch or fitness tracker, these devices are poised to impact all aspects of medicine by offering a more objective approach to replace self-reported data. Oncology has proved to be a prototypical example, and wearables offer immediate benefits to patients and oncologists with the ability to track symptoms and health metrics in real time. We aimed to review the recent literature on consumer-grade wearables and its current applications in cancer from the perspective of both the patient and the provider. The relevant studies suggested that these devices offer benefits, such as improved medication adherence and accuracy of symptom tracking over self-reported data, as well as insights that increase patient empowerment. Physical activity is consistently correlated with stronger patient outcomes, and a patient’s real-time metrics were found to be capable of tracking medication side effects and toxicity. Studies have made associations between wearable data and telomere shortening, cardiovascular disease, alcohol consumption, sleep apnea, and other conditions. The objective data obtained by the wearable presents a more complete picture of an individual’s health than the snapshot of a 15-minute office visit and a single set of vital signs. Real-time metrics can be translated into a digital phenotype that identifies risk factors specific to each patient, and shared risk factors across one’s social network may uncover common environmental exposures detrimental to one’s health. Wearable data and its upcoming integration with social media will be the foundation for the next generation of personalized medicine.

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Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives

Fonseka¹,

Woo²

2021

JMIR Mhealth Uhealth

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Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review

Marques¹,

Moura²,

Ven³

et al. 2022

J Med Internet Res

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Background Mental disorders are normally diagnosed exclusively on the basis of symptoms, which are identified from patients’ interviews and self-reported experiences. To make mental health diagnoses and monitoring more objective, different solutions have been proposed such as digital phenotyping of mental health (DPMH), which can expand the ability to identify and monitor health conditions based on the interactions of people with digital technologies. Objective This article aims to identify and characterize the sensing applications and public data sets for DPMH from a technical perspective. Methods We performed a systematic review of scientific literature and data sets. We searched 8 digital libraries and 20 data set repositories to find results that met the selection criteria. We conducted a data extraction process from the selected articles and data sets. For this purpose, a form was designed to extract relevant information, thus enabling us to answer the research questions and identify open issues and research trends. Results A total of 31 sensing apps and 8 data sets were identified and reviewed. Sensing apps explore different context data sources (eg, positioning, inertial, ambient) to support DPMH studies. These apps are designed to analyze and process collected data to classify (n=11) and predict (n=6) mental states/disorders, and also to investigate existing correlations between context data and mental states/disorders (n=6). Moreover, general-purpose sensing apps are developed to focus only on contextual data collection (n=9). The reviewed data sets contain context data that model different aspects of human behavior, such as sociability, mood, physical activity, sleep, with some also being multimodal. Conclusions This systematic review provides in-depth analysis regarding solutions for DPMH. Results show growth in proposals for DPMH sensing apps in recent years, as opposed to a scarcity of public data sets. The review shows that there are features that can be measured on smart devices that can act as proxies for mental status and well-being; however, it should be noted that the combined evidence for high-quality features for mental states remains limited. DPMH presents a great perspective for future research, mainly to reach the needed maturity for applications in clinical settings.

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Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives (Preprint)

Fonseka¹,

Woo²

2021

Preprint

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BACKGROUND With one in five adults in the United States owning a smartwatch or fitness tracker, these devices are poised to impact all aspects of medicine by offering a more objective approach to replace self-reported data. Oncology has proved to be a prototypical example, offering immediate benefits to patients and oncologists with the ability to track symptoms and health metrics in real-time. OBJECTIVE The aim of this study is to review the recent literature on consumer-grade wearables and its current applications in cancer from the perspective of both the patient and the provider. METHODS A search for articles containing “smartwatch,” “wearable,” or “Fitbit” matched with either “cancer” or “oncology” in the last five years was conducted in PubMed and Google Scholar with an emphasis on the most recent articles. Additionally, a search through the Apple app store and Google Play store for “cancer” was performed. RESULTS The relevant studies suggest an overall positive impact of consumer wearables in oncology. These devices offer benefits such as improved medication adherence and accuracy of symptom tracking over self-reported data, as well as offering insights that increase patient empowerment. Physical activity consistently correlated with stronger patient outcomes, and a patient’s real-time metrics were found to be capable of tracking medication side effects and toxicity. Studies have made associations between wearable data and telomere shortening, cardiovascular disease, alcohol consumption, sleep apnea, and other conditions. CONCLUSIONS The objective data obtained by the wearable presents a more complete picture of an individual’s health than the snapshot of a 15-minute office visit and a single set of vital signs. Real-time metrics can be translated into a digital phenotype that identifies risk factors specific to each patient, and shared risk factors across one’s social network may uncover common environmental exposures detrimental to one’s health. Wearable data and its upcoming integration with social media will be the foundation for the next generation of personalized medicine.

show abstract

Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging

Cited by 6 publications

References 46 publications

Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives

Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives

Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review

Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives (Preprint)

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