Noriega de la Colina Adrián, Morris Timothy P, Kramer Arthur F, Kaushal Navin, Geddes Maiya R
The Montreal Neurological Institute-Hospital, McGill University, 3801 Rue University, Montréal, QC, Canada.
Department of Neurology and Neurosurgery, Faculty of Medicine and Human Sciences, McGill University, 3801 Rue University, Montréal, QC, Canada.
NPJ Aging. 2024 Feb 27;10(1):16. doi: 10.1038/s41514-024-00141-9.
The accelerating digital health landscape, coupled with the proliferation of wearable devices and advanced neuroimaging, offers an unprecedented avenue to develop precision interventions for enhancing physical activity in aging. This approach requires deep baseline phenotyping to match older adults with the intervention poised to yield maximal health benefits. However, building sufficient evidence to translate precision physical activity recommendations into clinical practice requires a collaborative effort that includes accessible open data. We propose a strategic roadmap to design and implement personalized programs, effectively decreasing physical inactivity and bolstering adherence among older adults.
数字健康领域的加速发展，再加上可穿戴设备的普及和先进的神经成像技术，为开发精准干预措施以促进老年人身体活动提供了前所未有的途径。这种方法需要深入的基线表型分析，以便将老年人与有望产生最大健康益处的干预措施相匹配。然而，要积累足够的证据将精准身体活动建议转化为临床实践，需要包括可获取的开放数据在内的多方合作。我们提出了一个战略路线图，以设计和实施个性化方案，有效减少老年人的身体不活动情况并提高其依从性。
