Data from the All of Us research program reinforces existence of activity inequality
Abstract Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply a...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01358-4 |
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| author | Hayoung Jeong Ali R. Roghanizad Hiral Master Juseong Kim Aymone Kouame Paul A. Harris Melissa Basford Kayla Marginean Jessilyn Dunn |
| author_facet | Hayoung Jeong Ali R. Roghanizad Hiral Master Juseong Kim Aymone Kouame Paul A. Harris Melissa Basford Kayla Marginean Jessilyn Dunn |
| author_sort | Hayoung Jeong |
| collection | DOAJ |
| description | Abstract Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply and extend the previous global findings on activity inequality within the context of the US. We found that daily steps differed by sex at birth, age, body characteristics, geography, and built environment. Quantifying activity inequality using the modified Gini index, we found a strong correlation with obesity prevalence (R 2 = 0.804) and a moderate correlation with perceived walkability (R 2 = 0.426) and the activity gender gap (R 2 = 0.385). This study demonstrates the value of digital health technologies in exploring and understanding public health practices while highlighting the need to examine complexities, including biopsychosocial factors that may contribute to activity inequality. |
| format | Article |
| id | doaj-art-cb54bea2b46149df992aacf0cc63f5ac |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-cb54bea2b46149df992aacf0cc63f5ac2025-01-05T12:47:21ZengNature Portfolionpj Digital Medicine2398-63522025-01-018111010.1038/s41746-024-01358-4Data from the All of Us research program reinforces existence of activity inequalityHayoung Jeong0Ali R. Roghanizad1Hiral Master2Juseong Kim3Aymone Kouame4Paul A. Harris5Melissa Basford6Kayla Marginean7Jessilyn Dunn8Department of Biomedical Engineering, Duke UniversityDepartment of Biomedical Engineering, Duke UniversityVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical CenterDepartment of Biomedical Engineering, Duke UniversityVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical CenterDepartment of Biomedical Informatics, Vanderbilt University Medical CenterVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical CenterVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical CenterDepartment of Biomedical Engineering, Duke UniversityAbstract Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply and extend the previous global findings on activity inequality within the context of the US. We found that daily steps differed by sex at birth, age, body characteristics, geography, and built environment. Quantifying activity inequality using the modified Gini index, we found a strong correlation with obesity prevalence (R 2 = 0.804) and a moderate correlation with perceived walkability (R 2 = 0.426) and the activity gender gap (R 2 = 0.385). This study demonstrates the value of digital health technologies in exploring and understanding public health practices while highlighting the need to examine complexities, including biopsychosocial factors that may contribute to activity inequality.https://doi.org/10.1038/s41746-024-01358-4 |
| spellingShingle | Hayoung Jeong Ali R. Roghanizad Hiral Master Juseong Kim Aymone Kouame Paul A. Harris Melissa Basford Kayla Marginean Jessilyn Dunn Data from the All of Us research program reinforces existence of activity inequality npj Digital Medicine |
| title | Data from the All of Us research program reinforces existence of activity inequality |
| title_full | Data from the All of Us research program reinforces existence of activity inequality |
| title_fullStr | Data from the All of Us research program reinforces existence of activity inequality |
| title_full_unstemmed | Data from the All of Us research program reinforces existence of activity inequality |
| title_short | Data from the All of Us research program reinforces existence of activity inequality |
| title_sort | data from the all of us research program reinforces existence of activity inequality |
| url | https://doi.org/10.1038/s41746-024-01358-4 |
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