Data from the All of Us research program reinforces existence of activity inequality

被引：2

作者：

Jeong, Hayoung ^{[1
]}

Roghanizad, Ali R. ^{[1
]}

Master, Hiral ^{[2
]}

Kim, Juseong ^{[1
]}

Kouame, Aymone ^{[2
]}

Harris, Paul A. ^{[3
,4
,5
]}

Basford, Melissa ^{[2
]}

Marginean, Kayla ^{[2
]}

Dunn, Jessilyn ^{[1
,6
]}

机构：

[1] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA

[2] Vanderbilt Univ, Med Ctr, Vanderbilt Inst Clin & Translat Res, Nashville, TN USA

[3] Vanderbilt Univ, Med Ctr, Dept Biomed Informat, Nashville, TN USA

[4] Vanderbilt Univ, Dept Biomed Engn & Biostat, Med Ctr, Nashville, TN USA

[5] Vanderbilt Univ, Med Ctr, Dept Biostat, Nashville, TN USA

[6] Duke Univ, Dept Biostat & Bioinformat, Durham, NC 27708 USA

来源：

NPJ DIGITAL MEDICINE | 2025年 / 8卷 / 01期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1038/s41746-024-01358-4

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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 (R2 = 0.804) and a moderate correlation with perceived walkability (R2 = 0.426) and the activity gender gap (R2 = 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.

引用

页数：10

共 35 条

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