Jeong Hayoung, Roghanizad Ali R, Master Hiral, Kim Juseong, Kouame Aymone, Harris Paul A, Basford Melissa, Marginean Kayla, Dunn Jessilyn
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
NPJ Digit Med. 2025 Jan 4;8(1):8. doi: 10.1038/s41746-024-01358-4.
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 = 0.804) and a moderate correlation with perceived walkability (R = 0.426) and the activity gender gap (R = 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.
对美国活动情况的大规模详细分析仍然有限。在这项研究中，我们利用了“我们所有人”研究计划中全面的可穿戴设备数据、人口统计数据和调查数据，该计划是美国迄今为止规模最大、人口最多样化的人口健康研究，旨在在美国背景下应用并扩展先前关于活动不平等的全球研究结果。我们发现，每日步数在出生时的性别、年龄、身体特征、地理位置和建成环境方面存在差异。使用修正后的基尼指数对活动不平等进行量化，我们发现其与肥胖患病率有很强的相关性（R = 0.804），与可感知的步行便利性有中度相关性（R = 0.426），与活动性别差距有中度相关性（R = 0.385）。这项研究展示了数字健康技术在探索和理解公共卫生实践方面的价值，同时强调了审视复杂性的必要性，包括可能导致活动不平等的生物心理社会因素。
