Grant Details
| Grant Number: |
1U01CA130771-01 Interpret this number |
| Primary Investigator: |
Patrick, Kevin |
| Organization: |
University Of California, San Diego |
| Project Title: |
A Tool for Geospatial Analysis of Physical Activity |
| Fiscal Year: |
2007 |
Abstract
DESCRIPTION (provided by applicant):
The central role of places in which physical activity is done is now widely recognized, so it is important to measure both activity and its location. We will develop a Physical Activity and Location Measurement System (PALMS) comprised of an integrated suite of hardware and software that supports real-time capture and subsequent analyses of data on physical activity and energy expenditure (PAEE) from a geospatial perspective. Capability for ecological momentary assessment (EMA) of psychosocial factors related to PAEE context will also be included. No measurement approach exists that is capable of simultaneously and objectively collecting PAEE by combined heart rate and motion (HR+M) and location by Global Positioning Systems (GPS) data. These objective measures will provide significant advantages over currently-available self-reports to help understand relationships between PAEE, the environment, and health-related factors. This project will be performed by an interdisciplinary group of researchers with expertise in physical activity and energy expenditure measurement, active living research, software engineering, wireless sensor networks, cell phone technologies, GPS and geographic information systems (GIS) research and data modeling. The project will occur in four phases: PHASE I (12 mo.): Specify, build and bench test the software architecture that supports data collection from both an HR+M monitor and a highly accurate GPS device as well as a cell phone. Develop data-server and web-server software including new application program interfaces as well as methods to integrate into existing well established GIS systems (e.g. ArcGIS). PHASE II (12 mo.): Perform usability testing of the portable tool, refine the system and then use it to capture a minimum of 45 person-weeks of combined PAEE, GPS and EMA data among a multiethnic sample (n=45) of adolescents (age 12-20), adults (age 21-59) and older adults (age 60+). PHASE III (12 mo.): Use data captured in PHASE II to develop methods of data modeling and analysis appropriate to PAEE and geospatial research. Further improve the tool and software for use in Phase IV and develop User Guide and Web Tutorial for Researchers. PHASE IV (12 mo.): Field test the entire system (PAEE, GPS, EMA data collection, supporting server, and web software) in free-living adolescents, adults and older adults (n=45; min. 45 person-weeks) and test the utility of the system as a support to research on geospatial aspects of PAEE.
Publications
Stability of activity space footprint, size, and environmental features over six months.
Authors: Kraft A.N.
, Jones K.K.
, Lin T.T.
, Matthews S.A.
, Zenk S.N.
.
Source: Spatial And Spatio-temporal Epidemiology, 2019 08; 30, p. 100287.
EPub date: 2019-07-04 00:00:00.0.
PMID: 31421800
Related Citations
Convergent validity of an activity-space survey for use in health research.
Authors: Zenk S.N.
, Kraft A.N.
, Jones K.K.
, Matthews S.A.
.
Source: Health & Place, 2019 Mar; 56, p. 19-23.
EPub date: 2019-01-23 00:00:00.0.
PMID: 30684822
Related Citations
How many days of global positioning system (GPS) monitoring do you need to measure activity space environments in health research?
Authors: Zenk S.N.
, Matthews S.A.
, Kraft A.N.
, Jones K.K.
.
Source: Health & Place, 2018-03-07 00:00:00.0; 51, p. 52-60.
EPub date: 2018-03-07 00:00:00.0.
PMID: 29549754
Related Citations
Sub-population differences in the relationship between the neighborhood environment and Latinas' daily walking and vehicle time.
Authors: Serrano N.
, Perez L.G.
, Carlson J.
, Patrick K.
, Kerr J.
, Holub C.
, Arredondo E.M.
.
Source: Journal Of Transport & Health, 2018 Mar; 8, p. 210-219.
EPub date: 2018-01-20 00:00:00.0.
PMID: 29911019
Related Citations
Convergent validity of ActiGraph and Actical accelerometers for estimating physical activity in adults.
Authors: Duncan S.
, Stewart T.
, Bo Schneller M.
, Godbole S.
, Cain K.
, Kerr J.
.
Source: Plos One, 2018; 13(6), p. e0198587.
EPub date: 2018-06-12 00:00:00.0.
PMID: 29894485
Related Citations
Bicycle Trains, Cycling, and Physical Activity: A Pilot Cluster RCT.
Authors: Mendoza J.A.
, Haaland W.
, Jacobs M.
, Abbey-Lambertz M.
, Miller J.
, Salls D.
, Todd W.
, Madding R.
, Ellis K.
, Kerr J.
.
Source: American Journal Of Preventive Medicine, 2017 Oct; 53(4), p. 481-489.
EPub date: 2017-06-28 00:00:00.0.
PMID: 28668251
Related Citations
Objective Assessment of Physical Activity: Classifiers for Public Health.
Authors: Kerr J.
, Patterson R.E.
, Ellis K.
, Godbole S.
, Johnson E.
, Lanckriet G.
, Staudenmayer J.
.
Source: Medicine And Science In Sports And Exercise, 2016 May; 48(5), p. 951-7.
PMID: 27089222
Related Citations
Validity of PALMS GPS scoring of active and passive travel compared with SenseCam.
Authors: Carlson J.A.
, Jankowska M.M.
, Meseck K.
, Godbole S.
, Natarajan L.
, Raab F.
, Demchak B.
, Patrick K.
, Kerr J.
.
Source: Medicine And Science In Sports And Exercise, 2015 Mar; 47(3), p. 662-7.
PMID: 25010407
Related Citations
Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms.
Authors: Ellis K.
, Godbole S.
, Marshall S.
, Lanckriet G.
, Staudenmayer J.
, Kerr J.
.
Source: Frontiers In Public Health, 2014; 2, p. 36.
PMID: 24795875
Related Citations
Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication.
Authors: O'Connor T.M.
, Cerin E.
, Robles J.
, Lee R.E.
, Kerr J.
, Butte N.
, Mendoza J.A.
, Thompson D.
, Baranowski T.
.
Source: Geospatial Health, 2013 May; 7(2), p. 375-80.
PMID: 23733298
Related Citations
Indoor versus outdoor time in preschoolers at child care.
Authors: Tandon P.S.
, Saelens B.E.
, Zhou C.
, Kerr J.
, Christakis D.A.
.
Source: American Journal Of Preventive Medicine, 2013 Jan; 44(1), p. 85-8.
PMID: 23253655
Related Citations
Policy Driven Development: Flexible Policy Insertion for Large Scale Systems.
Authors: Demchak B.
, Krüger I.
.
Source: Proceedings. Ieee International Symposium On Policies For Distributed Systems And Networks, 2012 Jul; 2012, p. 17-24.
PMID: 25383258
Related Citations
Using GPS technology to (re)-examine operational definitions of 'neighbourhood' in place-based health research.
Authors: Boruff B.J.
, Nathan A.
, Nijënstein S.
.
Source: International Journal Of Health Geographics, 2012-06-27 00:00:00.0; 11, p. 22.
EPub date: 2012-06-27 00:00:00.0.
PMID: 22738807
Related Citations
Adolescent screen time and rules to limit screen time in the home.
Authors: Ramirez E.R.
, Norman G.J.
, Rosenberg D.E.
, Kerr J.
, Saelens B.E.
, Durant N.
, Sallis J.F.
.
Source: The Journal Of Adolescent Health : Official Publication Of The Society For Adolescent Medicine, 2011 Apr; 48(4), p. 379-85.
PMID: 21402267
Related Citations