Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults
10.1038/s41598-021-89141-3
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2022
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sg-nus-scholar.10635-2330612023-11-01T08:56:06Z Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults Yao, Jiali Tan, Chuen Seng Lim, Nicole Tan, Jeremy Chen, Cynthia Müller-Riemenschneider, Falk SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH 10.1038/s41598-021-89141-3 Scientific Reports 11 1 9633 2022-10-13T06:46:02Z 2022-10-13T06:46:02Z 2021-05-05 Article Yao, Jiali, Tan, Chuen Seng, Lim, Nicole, Tan, Jeremy, Chen, Cynthia, Müller-Riemenschneider, Falk (2021-05-05). Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults. Scientific Reports 11 (1) : 9633. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-021-89141-3 2045-2322 https://scholarbank.nus.edu.sg/handle/10635/233061 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Nature Research Scopus OA2021 |
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10.1038/s41598-021-89141-3 |
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SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH |
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SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Yao, Jiali Tan, Chuen Seng Lim, Nicole Tan, Jeremy Chen, Cynthia Müller-Riemenschneider, Falk |
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Yao, Jiali Tan, Chuen Seng Lim, Nicole Tan, Jeremy Chen, Cynthia Müller-Riemenschneider, Falk |
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Yao, Jiali Tan, Chuen Seng Lim, Nicole Tan, Jeremy Chen, Cynthia Müller-Riemenschneider, Falk Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
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Yao, Jiali |
title |
Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
title_short |
Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
title_full |
Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
title_fullStr |
Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
title_full_unstemmed |
Number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
title_sort |
number of daily measurements needed to estimate habitual step count levels using wrist-worn trackers and smartphones in 212,048 adults |
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Nature Research |
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2022 |
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https://scholarbank.nus.edu.sg/handle/10635/233061 |
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