Literature DB >> 28819332

Assessing Smart Phones for Generating Life-space Indicators.

Neng Wan1, Wenyu Qu2, Jackie Whittington3, Bradley C Witbrodt4, Mary Pearl Henderson5, Evan H Goulding6, A Katrin Schenk7, Stephen J Bonasera3, Ge Lin1.   

Abstract

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.

Entities:  

Keywords:  GIS; GPS; activity space; functional status; life-space; mobility; smart phone

Year:  2013        PMID: 28819332      PMCID: PMC5556372          DOI: 10.1068/b38200

Source DB:  PubMed          Journal:  Environ Plann B Plann Des        ISSN: 0265-8135


  18 in total

1.  Measuring life-space mobility in community-dwelling older adults.

Authors:  Patricia S Baker; Eric V Bodner; Richard M Allman
Journal:  J Am Geriatr Soc       Date:  2003-11       Impact factor: 5.562

2.  Environmental Audits of Friendliness toward Physical Activity in Three Income Levels.

Authors:  Wendell C Taylor; Luisa Franzini; Norma Olvera; Walker S Carlos Poston; Ge Lin
Journal:  J Urban Health       Date:  2012-02-01       Impact factor: 3.671

Review 3.  Functional assessment in geriatrics. A review of progress and directions.

Authors:  S Katz; M W Stroud
Journal:  J Am Geriatr Soc       Date:  1989-03       Impact factor: 5.562

4.  Racial similarities and differences in predictors of mobility change over eighteen months.

Authors:  Richard M Allman; Patricia Sawyer Baker; Richard M Maisiak; Richard V Sims; Jeffrey M Roseman
Journal:  J Gen Intern Med       Date:  2004-11       Impact factor: 5.128

5.  Integrating context-aware public displays into a mobile hospital information system.

Authors:  Jesus Favela; Marcela Rodríguez; Alfredo Preciado; Victor M González
Journal:  IEEE Trans Inf Technol Biomed       Date:  2004-09

Review 6.  Mode of questionnaire administration can have serious effects on data quality.

Authors:  Ann Bowling
Journal:  J Public Health (Oxf)       Date:  2005-05-03       Impact factor: 2.341

7.  Income, health, and well-being around the world: evidence from the Gallup World Poll.

Authors:  Angus Deaton
Journal:  J Econ Perspect       Date:  2008

Review 8.  Designing randomized, controlled trials aimed at preventing or delaying functional decline and disability in frail, older persons: a consensus report.

Authors:  Luigi Ferrucci; Jack M Guralnik; Stephanie Studenski; Linda P Fried; Gordon B Cutler; Jeremy D Walston
Journal:  J Am Geriatr Soc       Date:  2004-04       Impact factor: 5.562

9.  Measurement of walking distance and speed in patients with peripheral arterial disease: a novel method using a global positioning system.

Authors:  Alexis Le Faucheur; Pierre Abraham; Vincent Jaquinandi; Philippe Bouyé; Jean Louis Saumet; Bénédicte Noury-Desvaux
Journal:  Circulation       Date:  2008-02-04       Impact factor: 29.690

10.  A suite of methods for representing activity space in a healthcare accessibility study.

Authors:  Jill E Sherman; John Spencer; John S Preisser; Wilbert M Gesler; Thomas A Arcury
Journal:  Int J Health Geogr       Date:  2005-10-19       Impact factor: 3.918

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  9 in total

1.  Addressing location uncertainties in GPS-based activity monitoring: A methodological framework.

Authors:  Neng Wan; Ge Lin; Gaines J Wilson
Journal:  Trans GIS       Date:  2016-09-19

2.  Considering high alcohol and violence neighborhood context using daily diaries and GPS: A pilot study among people living with HIV.

Authors:  Katherine P Theall; Erica Felker-Kantor; Maeve Wallace; Xiao Zhang; Christopher N Morrison; Douglas J Wiebe
Journal:  Drug Alcohol Depend       Date:  2018-04-10       Impact factor: 4.492

3.  Classifying Human Activity Patterns from Smartphone Collected GPS data: a Fuzzy Classification and Aggregation Approach.

Authors:  Neng Wan; Ge Lin
Journal:  Trans GIS       Date:  2016-04-12

4.  Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences.

Authors:  Karen E Nielsen; Shannon T Mejía; Richard Gonzalez
Journal:  Int J Health Geogr       Date:  2022-06-18       Impact factor: 5.310

5.  Impact of deep brain stimulation on people with Parkinson's disease: A mixed methods feasibility study exploring lifespace and community outcomes.

Authors:  Jacki Liddle; Amreetaa Sundraraj; David Ireland; Sally Bennett; Tereza Stillerova; Peter Silburn
Journal:  Hong Kong J Occup Ther       Date:  2019-08-16       Impact factor: 0.917

6.  Change in GPS-assessed walking locations following a cluster-randomized controlled physical activity trial in older adults, results from the MIPARC trial.

Authors:  Katie Crist; Marta M Jankowska; Jasper Schipperijn; Dori E Rosenberg; Michelle Takemoto; Zvinka Z Zlatar; Loki Natarajan; Tarik Benmarhnia
Journal:  Health Place       Date:  2021-04-29       Impact factor: 4.931

7.  Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis.

Authors:  Jana A Hirsch; Meghan Winters; Philippa Clarke; Heather McKay
Journal:  Int J Health Geogr       Date:  2014-12-12       Impact factor: 3.918

8.  Mobile Phone-Based Measures of Activity, Step Count, and Gait Speed: Results From a Study of Older Ambulatory Adults in a Naturalistic Setting.

Authors:  Cassia Rye Hanton; Yong-Jun Kwon; Thawda Aung; Jackie Whittington; Robin R High; Evan H Goulding; A Katrin Schenk; Stephen J Bonasera
Journal:  JMIR Mhealth Uhealth       Date:  2017-10-03       Impact factor: 4.773

9.  Long-term digital device-enabled monitoring of functional status: Implications for management of persons with Alzheimer's disease.

Authors:  Natalie A Manley; Eléonore Bayen; Tamara L Braley; Jennifer Merrilees; Amy M Clark; Bradley Zylstra; Michael Schaffer; Alexandre M Bayen; Katherine L Possin; Bruce L Miller; A Katrin Schenk; Stephen J Bonasera
Journal:  Alzheimers Dement (N Y)       Date:  2020-06-14
  9 in total

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