Your move: A precision medicine framework for physical activity in aging

被引:2
|
作者
de la Colina, Adrian Noriega [1 ,2 ]
Morris, Timothy P. [3 ]
Kramer, Arthur F. [4 ]
Kaushal, Navin [5 ]
Geddes, Maiya R. [1 ,2 ]
机构
[1] McGill Univ, Montreal Neurol Inst Hosp, 3801 Rue Univ, Montreal, PQ, Canada
[2] McGill Univ, Fac Med & Human Sci, Dept Neurol & Neurosurg, 3801 Rue Univ, Montreal, PQ, Canada
[3] Northeastern Univ, Dept Phys Therapy Movement & Rehabil Sci, Boston, MA USA
[4] Northeastern Univ, Ctr Cognit & Brain Hlth, Boston, MA USA
[5] Indiana Univ, Sch Hlth & Human Sci, Bloomington, IN USA
来源
NPJ AGING | 2024年 / 10卷 / 01期
基金
加拿大自然科学与工程研究理事会; 加拿大健康研究院; 芬兰科学院;
关键词
WORLD-HEALTH-ORGANIZATION; EXERCISE; PEOPLE; TIME;
D O I
10.1038/s41514-024-00141-9
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
引用
收藏
页数:6
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