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Life-space is a promising method for estimating older adults' functional status. However, traditional life-space measures are costly and time consuming because they often rely on active subject participation. This study assesses the feasibility of using the global positioning system (GPS) function of smart phones to generate life-space indicators. We first evaluated the location accuracy of smart phone collected GPS points versus those acquired by a commercial GPS unit. We then assessed the specificity of the smart phone processed life-space information against the traditional diary method. Our results suggested comparable location accuracy between the smart phone and the standard GPS unit in most outdoor situations. In addition, the smart phone method revealed more comprehensive life-space information than the diary method, which leads to higher and more consistent life-space scores. We conclude that the smart phone method is more reliable than traditional methods for measuring life-space. Further improvements will be required to develop a robust application of this method that is suitable for health-related practices.

作者:Neng, Wan;Wenyu, Qu;Jackie, Whittington;Bradley C, Witbrodt;Mary Pearl, Henderson;Evan H, Goulding;A Katrin, Schenk;Stephen J, Bonasera;Ge, Lin

来源:Environment and planning. B, Planning & design 2013 年 40卷 2期

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收藏
| 浏览:67
作者:
Neng, Wan;Wenyu, Qu;Jackie, Whittington;Bradley C, Witbrodt;Mary Pearl, Henderson;Evan H, Goulding;A Katrin, Schenk;Stephen J, Bonasera;Ge, Lin
来源:
Environment and planning. B, Planning & design 2013 年 40卷 2期
标签:
GIS GPS activity space functional status life-space mobility smart phone
Life-space is a promising method for estimating older adults' functional status. However, traditional life-space measures are costly and time consuming because they often rely on active subject participation. This study assesses the feasibility of using the global positioning system (GPS) function of smart phones to generate life-space indicators. We first evaluated the location accuracy of smart phone collected GPS points versus those acquired by a commercial GPS unit. We then assessed the specificity of the smart phone processed life-space information against the traditional diary method. Our results suggested comparable location accuracy between the smart phone and the standard GPS unit in most outdoor situations. In addition, the smart phone method revealed more comprehensive life-space information than the diary method, which leads to higher and more consistent life-space scores. We conclude that the smart phone method is more reliable than traditional methods for measuring life-space. Further improvements will be required to develop a robust application of this method that is suitable for health-related practices.