A Pilot Study Using Global Positioning Systems (GPS) Devices and Surveys to Ascertain Older Adults’ Travel Patterns

Yen, Irene H.; Leung, Cindy W.; Lan, Mars; Sarrafzadeh, Majid; Kayekjian, Karen C.; Duru, O. Kenrik

doi:10.1177/0733464813479024

Cited by 19 publications

(14 citation statements)

References 17 publications

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“…GPS tracking of the sample was conducted for a week, also consistent with many other studies (Zenk et al, 2011; Hurvitz and Moudon, 2012; Yen et al, 2013; Dessing et al, 2014; Yan et al, 2014). All research assistants participated in our 2-day GPS overview and training workshop, prior to interacting with the participants.…”

Section: Methodsmentioning

confidence: 82%

“…We used QStarz's Super 51-CH performance bluetooth GPS travel recorder (BT-Q1000XT, Qstarz International Co. Ltd; Taipei, Taiwan), which has been used in many previous studies (Christian et al, 2012; O'Connor et al, 2013; Robinson and Oreskovic, 2013; Yen et al, 2013; Dessing et al, 2014). GPS tracking of the sample was conducted for a week, also consistent with many other studies (Zenk et al, 2011; Hurvitz and Moudon, 2012; Yen et al, 2013; Dessing et al, 2014; Yan et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

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Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

et al. 2014

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The purpose of this study was to evaluate the feasibility of using global positioning system (GPS) methods to understand the spatial context of obesity and hypertension risk among a sample of low-income housing residents in New York City (n = 120). GPS feasibility among participants was measured with a pre- and post-survey as well as adherence to a protocol which included returning the GPS device as well as objective data analysed from the GPS devices. We also conducted qualitative interviews with 21 of the participants. Most of the sample was overweight (26.7%) or obese (40.0%). Almost one-third (30.8%) was pre-hypertensive and 39.2% was hypertensive. Participants reported high ratings of GPS acceptability, ease of use and low levels of wear-related concerns in addition to few concerns related to safety, loss or appearance, which were maintained after the baseline GPS feasibility data collection. Results show that GPS feasibility increased over time. The overall GPS return rate was 95.6%. Out of the total of 114 participants with GPS, 112 (98.2%) delivered at least one hour of GPS data for one day and 84 (73.7%) delivered at least one hour on 7 or more days. The qualitative interviews indicated that overall, participants enjoyed wearing the GPS devices, that they were easy to use and charge and that they generally forgot about the GPS device when wearing it daily. Findings demonstrate that GPS devices may be used in spatial epidemiology research in low-income and potentially other key vulnerable populations to understand geospatial determinants of obesity, hypertension and other diseases that these populations disproportionately experience.

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Section: Methodsmentioning

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

et al. 2014

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“…Consistent with other studies (Zenk et al, 2011;Hurvitz and Moudon, 2012;McCluskey et al, 2012;Wiehe et al, 2013;Yan et al, 2014;Clark et al, 2014;Dessing et al, 2014;Harrison et al, 2014;Klinker et al, 2014;Yen et al, 2015), GPS tracking of the sample was conducted for one week. Prior to distribution, we programmed the GPS device to log in 30-second intervals (so if a participant wore the GPS device for an hour, and had no data loss it would have 120 GPS points recorded) (Duncan et al, 2014c).…”

Section: Global Positioning System Data Processingmentioning

confidence: 83%

Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

Duncan¹,

Ruff²,

Chaix³

et al. 2016

Geospat Health

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Previous research has highlighted the salience of spatial stigma on the lives of low-income residents, but has been theoretical in nature and/or has predominantly utilised qualitative methods with limited generalisability and ability to draw associations between spatial stigma and measured cardiovascular health outcomes. The primary objective of this study was to evaluate relationships between perceived spatial stigma, body mass index (BMI), and blood pressure among a sample of low-income housing residents in New York City (NYC). Data come from the community-based NYC Low-income Housing, Neighborhoods and Health Study. We completed a crosssectional analysis with survey data, which included the four items on spatial stigma, as well objectively measured BMI and blood pressure data (analytic n=116; 96.7% of the total sample). Global positioning systems (GPS) tracking of the sample was conducted for a week. In multivariable models (controlling for individual-level age, gender, race/ethnicity, education level, employment status, total household income, neighborhood percent non-Hispanic Black and neighborhood median household income) we found that participants who reported living in an area with a bad neighborhood reputation had higher BMI (B=4.2, 95%CI: -0.01, 8.3, P=0.051), as well as higher systolic blood pressure (B=13.2, 95%CI: 3.2, 23.1, P=0.01) and diastolic blood pressure (B=8.5, 95%CI: 2.8, 14.3, P=0.004). In addition, participants who reported living in an area with a bad neighborhood reputation had increased risk of obesity/overweight [relative risk (RR)=1.32, 95%CI: 1.1, 1.4, P=0.02) and hypertension/pre-hypertension (RR=1.66, 95%CI: 1.2, 2.4, P=0.007). However, we found no differences in spatial mobility (based GPS data) among participants who reported living in neighborhoods with and without spatial stigma (P>0.05). Further research is needed to investigate how placebased stigma may be associated with impaired cardiovascular health among individuals in stigmatised neighborhoods to inform effective cardiovascular risk reduction interventions.

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“…Until devices that employ the Global Positioning System (GPS) are more readily embrace by health researchers, SRM will remain the only source for measuring mobility at the high-end of the spectrum (i.e., mobility over long distances). In theory, tracking ambulation over physical space with GPS devices will provide time-and-place specific (geodetic) points to estimate the ‘organic gait’ of outdoor ambulation in daily living—unlike performance measures taking place in non-organic settings (32–33). …”

Section: Discussionmentioning

confidence: 99%

Intersecting Self-Reported Mobility and Gait Speed to Create a Multi-Dimensional Measure of Ambulation: The “Ambulation Speed-Endurance” (Ase) Typology

Siordia

2015

J Frailty Aging

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Background: Assessing mobility through readily available and affordable protocols may help advance public health by providing early detection and implementing intervention therapies aimed at mitigating the progression from physiological vitality to disability at older ages. Until now, little attention has been given to how self-reported mobility (SRM) and gait speed can be combined in a categorization scheme. Objectives: The specific aim of this report is to introduce the Ambulation Speed-Endurance (ASE) Typology to the literature—a classification system that intersects SRM and gait speed to create a multi-dimensional measure of ambulation. Design: Cross-sectional. Setting: Community-dwelling older adults in the United States. Participants: Evidence is provided from the National Health and Aging Trends Study (NHATS) that community-dwelling older adults (n=5,403) may be found in each of the ASE Typologies. The discussion is complimented by investigating the cross-sectional predictors of a “Discrepancy Score” (measure of gap between speed and endurance) amongst those with gait speeds < 0.99 m/sec (n=4,521). Results: Multivariable linear regression results indicate level of severity in speed-endurance discrepancy is higher amongst: non-Latino-Blacks (β=0.48); Latinos (β=0.42); older ages; and lower educated. Models also show that severity in speed-endurance discrepancy is lower amongst: females (β=-0.38); those with higher body mass index; with more chronic health conditions; and poorer self-rated health. Conclusion: Research should continue to investigate how to optimize SRM.

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A Pilot Study Using Global Positioning Systems (GPS) Devices and Surveys to Ascertain Older Adults’ Travel Patterns

Cited by 19 publications

References 17 publications

Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

Intersecting Self-Reported Mobility and Gait Speed to Create a Multi-Dimensional Measure of Ambulation: The “Ambulation Speed-Endurance” (Ase) Typology

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