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Deriving a GPS Monitoring Time Recommendation for Physical Activity Studies of Adults.

ABSTRACT: Determining locations of physical activity (PA) is important for surveillance and intervention development, yet recommendations for using location recording tools like global positioning system (GPS) units are lacking. Specifically, no recommendation exists for the number of days study participants should wear a GPS to reliably estimate PA time spent in locations.This study used data from participants (N = 224, age = 18-85 yr) in five states who concurrently wore an ActiGraph GT1M accelerometer and a Qstarz BT-Q1000X GPS for three consecutive weeks to construct monitoring day recommendations through variance partitioning methods. PA bouts ?10 min were constructed from accelerometer counts, and the location of GPS points was determined using a hand-coding protocol.Monitoring day recommendations varied by the type of location (e.g., participant homes vs parks) and the intensity of PA bouts considered (low and medium cut point moderate to vigorous PA [MVPA] bouts or high cut point vigorous PA [VPA] bouts). In general, minutes of all PA intensities spent in a given location could be measured with ?80% reliability using 1-3 d of GPS monitoring for fitness facilities, schools, and footpaths. MVPA bout minutes in parks and roads required longer monitoring periods of 5-12 d. PA in homes and commercial areas required >19 d of monitoring.Twelve days of monitoring was found to reliably estimate minutes in both low and medium threshold MVPA as well as VPA bouts for many important built environment locations that can be targeted to increase PA at the population level. Minutes of PA in the home environment and commercial locations may be best assessed through other means given the lengthy estimated monitoring time required.

SUBMITTER: Holliday KM

PROVIDER: S-EPMC5392135 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Deriving a GPS Monitoring Time Recommendation for Physical Activity Studies of Adults.

Holliday Katelyn M KM Howard Annie Green AG Emch Michael M Rodríguez Daniel A DA Rosamond Wayne D WD Evenson Kelly R KR

Medicine and science in sports and exercise 20170501 5

<h4>Introduction</h4>Determining locations of physical activity (PA) is important for surveillance and intervention development, yet recommendations for using location recording tools like global positioning system (GPS) units are lacking. Specifically, no recommendation exists for the number of days study participants should wear a GPS to reliably estimate PA time spent in locations.<h4>Methods</h4>This study used data from participants (N = 224, age = 18-85 yr) in five states who concurrently ...[more]

PMID: 28009791

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Project description:BackgroundPersonal exposure studies of air pollution generally use self-reported diaries to capture individuals' time-activity data. Enhancements in the accuracy, size, memory and battery life of personal Global Positioning Systems (GPS) units have allowed for higher resolution tracking of study participants' locations. Improved time-activity classifications combined with personal continuous air pollution sampling can improve assessments of location-related air pollution exposures for health studies.MethodsData was collected using a GPS and personal temperature from 54 children with asthma living in Montreal, Canada, who participated in a 10-day personal air pollution exposure study. A method was developed that incorporated personal temperature data and then matched a participant's position against available spatial data (i.e., road networks) to generate time-activity categories. The diary-based and GPS-generated time-activity categories were compared and combined with continuous personal PM2.5 data to assess the impact of exposure misclassification when using diary-based methods.ResultsThere was good agreement between the automated method and the diary method; however, the automated method (means: outdoors?=?5.1%, indoors other =9.8%) estimated less time spent in some locations compared to the diary method (outdoors?=?6.7%, indoors other?=?14.4%). Agreement statistics (AC1?=?0.778) suggest 'good' agreement between methods over all location categories. However, location categories (Outdoors and Transit) where less time is spent show greater disagreement: e.g., mean time "Indoors Other" using the time-activity diary was 14.4% compared to 9.8% using the automated method. While mean daily time "In Transit" was relatively consistent between the methods, the mean daily exposure to PM2.5 while "In Transit" was 15.9 ?g/m3 using the automated method compared to 6.8 ?g/m3 using the daily diary.ConclusionsMean times spent in different locations as categorized by a GPS-based method were comparable to those from a time-activity diary, but there were differences in estimates of exposure to PM2.5 from the two methods. An automated GPS-based time-activity method will reduce participant burden, potentially providing more accurate and unbiased assessments of location. Combined with continuous air measurements, the higher resolution GPS data could present a different and more accurate picture of personal exposures to air pollution.

Project description:Family time may have an influence on children's physical activity (PA) participation or may contribute to increased sedentary behaviour. The aim of this paper was to examine whether spending family time is associated with the PA of children aged 10-11. Cross-sectional data on 158 primary school children (80 girls and 78 boys) with a mean age of 10.6 ± 0.49 years were collected. Weight and height were used to calculate body mass index. The level of moderate-to-vigorous physical activity (MVPA) was determined with a physical activity screening measure. Participants wore a Vivofit® wrist band activity tracker to measure their daily number of steps. The Health Behaviour in School-Aged Children questionnaire was used to obtain information from children about the frequency of activities undertaken by the family. Analyses entailed descriptive statistics of the total sample and by gender, t-test, and the Mann-Whitney U-test to examine the gender differences and Spearman's correlation coefficients. It was found that 32.3% of the children did not accomplish at least 60 min per day on ?5 of the seven days and more than 75.9% of them did not accumulate at least 12,000 or more steps daily. More boys than girls tended to be sufficiently active and met the guideline of at least 60 min per day on ?5 of the seven days (70.5% and 65.0%, respectively) or 12,000 steps per day (25.8% and 10.0%, respectively). The number of steps during the weekday was significantly and inversely associated both in girls and in boys with active family time (r = -0.27 and r = -0.25, respectively), and with total family time (r = -0.28) and non-active family time (r = -0.25) only in boys. Average MVPA was also inversely correlated with active family time (r = -0.31), non-active family time (r = -0.24), and total family time (r = -0.29) in boys. The correlation effect size values ranged between small to medium significant differences for these measures. The findings underscore the need for community-based PA programmes designed for whole families to meet the recommended PA of children and also to develop and promote active leisure activities among families.

Dataset Information

Deriving a GPS Monitoring Time Recommendation for Physical Activity Studies of Adults.

Publications

Deriving a GPS Monitoring Time Recommendation for Physical Activity Studies of Adults.

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