智能手机谷歌位置历史:一个新的方法,户外体力活动研究研究
Ofer Amram1,2, Olufunso Oje3, Andrew Larkin4
1Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA.
Journal of physical activity & health
|December 11, 2024
概括
谷歌位置历史 (GLH) 数据有效地测量了长期户外体力活动 (PA). 通过GLH识别的步行增加与肥胖的几率降低有关,这为新的研究途径提供了新的途径.
科学领域:
- 数字健康数字健康
- 公共卫生研究 公共卫生研究
- 流行病学 流行病学
背景情况:
- 户外体力活动 (PA) 对健康至关重要,但难以准确测量.
- 智能手机位置数据,如谷歌位置历史 (GLH),为被动PA评估提供了一个潜在的解决方案.
研究的目的:
- 评估谷歌位置历史 (GLH) 数据对量化户外体育活动 (PA) 的实用性.
主要方法:
- 收集了357名参与者的GLH数据.
- 总结了GLH数据以识别户外PA.
- 在25名参与者的加速度计数据上验证了GLH.
- 研究了GLH检测到的步行和肥胖之间的关联.
主要成果:
- 在GLH数据中,每个参与者平均提供了52个月的时间活动信息.
- 确定了79,994次步行旅行 (11.6%),564,558次车辆旅行 (81.8%),11,974次骑自行车旅行 (1.7%) 和890次跑步旅行 (0.1%).
- GLH检测到的步行时间和旅行时间显示与肥胖概率的反向关联.
结论:
- 谷歌位置历史 (GLH) 提供了一种用于追溯测量长期户外体育活动的新方法.
- 这种方法为推进PA研究和理解健康行为提供了新的机会.
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