Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.
The use of consumer-grade wearables for purposes beyond fitness tracking has not been comprehensively explored. We generated and analyzed multidimensional data from 233 normal volunteers, integrating wearable data, lifestyle questionnaires, cardiac imaging, sphingolipid profiling, and multiple clini...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-02-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.2004285 |
| _version_ | 1819022908990685184 |
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| author | Weng Khong Lim Sonia Davila Jing Xian Teo Chengxi Yang Chee Jian Pua Christopher Blöcker Jing Quan Lim Jianhong Ching Jonathan Jiunn Liang Yap Swee Yaw Tan Anders Sahlén Calvin Woon-Loong Chin Bin Tean Teh Steven G Rozen Stuart Alexander Cook Khung Keong Yeo Patrick Tan |
| author_facet | Weng Khong Lim Sonia Davila Jing Xian Teo Chengxi Yang Chee Jian Pua Christopher Blöcker Jing Quan Lim Jianhong Ching Jonathan Jiunn Liang Yap Swee Yaw Tan Anders Sahlén Calvin Woon-Loong Chin Bin Tean Teh Steven G Rozen Stuart Alexander Cook Khung Keong Yeo Patrick Tan |
| author_sort | Weng Khong Lim |
| collection | DOAJ |
| description | The use of consumer-grade wearables for purposes beyond fitness tracking has not been comprehensively explored. We generated and analyzed multidimensional data from 233 normal volunteers, integrating wearable data, lifestyle questionnaires, cardiac imaging, sphingolipid profiling, and multiple clinical-grade cardiovascular and metabolic disease markers. We show that subjects can be stratified into distinct clusters based on daily activity patterns and that these clusters are marked by distinct demographic and behavioral patterns. While resting heart rates (RHRs) performed better than step counts in being associated with cardiovascular and metabolic disease markers, step counts identified relationships between physical activity and cardiac remodeling, suggesting that wearable data may play a role in reducing overdiagnosis of cardiac hypertrophy or dilatation in active individuals. Wearable-derived activity levels can be used to identify known and novel activity-modulated sphingolipids that are in turn associated with insulin sensitivity. Our findings demonstrate the potential for wearables in biomedical research and personalized health. |
| first_indexed | 2024-12-21T04:30:29Z |
| format | Article |
| id | doaj.art-eebe2bc0e55941b99115b728050458dc |
| institution | Directory Open Access Journal |
| issn | 1544-9173 1545-7885 |
| language | English |
| last_indexed | 2024-12-21T04:30:29Z |
| publishDate | 2018-02-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj.art-eebe2bc0e55941b99115b728050458dc2022-12-21T19:15:57ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852018-02-01162e200428510.1371/journal.pbio.2004285Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.Weng Khong LimSonia DavilaJing Xian TeoChengxi YangChee Jian PuaChristopher BlöckerJing Quan LimJianhong ChingJonathan Jiunn Liang YapSwee Yaw TanAnders SahlénCalvin Woon-Loong ChinBin Tean TehSteven G RozenStuart Alexander CookKhung Keong YeoPatrick TanThe use of consumer-grade wearables for purposes beyond fitness tracking has not been comprehensively explored. We generated and analyzed multidimensional data from 233 normal volunteers, integrating wearable data, lifestyle questionnaires, cardiac imaging, sphingolipid profiling, and multiple clinical-grade cardiovascular and metabolic disease markers. We show that subjects can be stratified into distinct clusters based on daily activity patterns and that these clusters are marked by distinct demographic and behavioral patterns. While resting heart rates (RHRs) performed better than step counts in being associated with cardiovascular and metabolic disease markers, step counts identified relationships between physical activity and cardiac remodeling, suggesting that wearable data may play a role in reducing overdiagnosis of cardiac hypertrophy or dilatation in active individuals. Wearable-derived activity levels can be used to identify known and novel activity-modulated sphingolipids that are in turn associated with insulin sensitivity. Our findings demonstrate the potential for wearables in biomedical research and personalized health.https://doi.org/10.1371/journal.pbio.2004285 |
| spellingShingle | Weng Khong Lim Sonia Davila Jing Xian Teo Chengxi Yang Chee Jian Pua Christopher Blöcker Jing Quan Lim Jianhong Ching Jonathan Jiunn Liang Yap Swee Yaw Tan Anders Sahlén Calvin Woon-Loong Chin Bin Tean Teh Steven G Rozen Stuart Alexander Cook Khung Keong Yeo Patrick Tan Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. PLoS Biology |
| title | Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. |
| title_full | Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. |
| title_fullStr | Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. |
| title_full_unstemmed | Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. |
| title_short | Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. |
| title_sort | beyond fitness tracking the use of consumer grade wearable data from normal volunteers in cardiovascular and lipidomics research |
| url | https://doi.org/10.1371/journal.pbio.2004285 |
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