Adding maps (GPS) to accelerometry data to improve study participants’ recall of physical activity: a methodological advance in physical activity research

Objective Obtaining the ‘when, where and why’ of healthy bouts of moderate-to-vigorous physical activity (MVPA) provides insights into natural PA. Design In Salt Lake City, Utah, adults wore accelerometer and Global Positioning System (GPS) loggers for a week in a cross-sectional study to establish baseline travel and activity patterns near a planned Complete Street intervention involving a new rail line, new sidewalks and a bike path. Results At the end of the week, research assistants met with the 918 participants who had at least three 10 h days of good accelerometer readings. Accelerometer and GPS data were uploaded and integrated within a custom application, and participants were provided with maps and time information for past MVPA bouts of ≥3 min to help them recall bout details. Participants said that ‘getting someplace’ was, on average, a more important motivation for their bouts than leisure or exercise. A series of recall tests showed that participants recalled most bouts they were asked about, regardless of the duration of the bout, suggesting that participant perceptions of their shorter lifestyle bouts can be studied with this methodology. Visual prompting with a map depicting where each bout took place yielded more accurate recall than prompting with time cues alone. Conclusions These techniques provide a novel way to understand participant memories of the context and subjective assessments associated with healthy bouts of PA. Prompts with time-stamped maps that illustrate places of MVPA offer an effective method to improve understanding of activity and its supportive sociophysical contexts.

[1]  Alec Holt,et al.  Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children. , 2010, Preventive medicine.

[2]  Kees Maat,et al.  Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands , 2009 .

[3]  Ken R. Smith,et al.  Moderate to Vigorous Physical Activity and Weight Outcomes: Does Every Minute Count? , 2013, American journal of health promotion : AJHP.

[4]  K. Janz,et al.  Physical activity in epidemiology: moving from questionnaire to objective measurement , 2006, British Journal of Sports Medicine.

[5]  Carol M. Werner,et al.  Using accelerometer feedback to identify walking destinations, activity overestimates, and stealth exercise in obese and nonobese individuals. , 2008, Journal of physical activity & health.

[6]  W. Rosamond,et al.  Promoting Active Community Environments through Land Use and Transportation Planning , 2007, American journal of health promotion : AJHP.

[7]  J. Wolf Applications of New Technologies in Travel Surveys , 2006 .

[8]  D. Spruijt-Metz,et al.  Investigating Children's Physical Activity and Sedentary Behavior Using Ecological Momentary Assessment With Mobile Phones , 2011, Obesity.

[9]  B. Saelens,et al.  Built environment correlates of walking: a review. , 2008, Medicine and science in sports and exercise.

[10]  D. Scott,et al.  Active-transport walking behavior: destinations, durations, distances , 2013 .

[11]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[12]  J. Brug,et al.  Measuring physical activity in field studies: Comparison of a questionnaire, 24-hour recall and an accelerometer , 2007 .

[13]  Chandra R. Bhat,et al.  An analysis of the factors influencing differences in survey-reported and GPS-recorded trips , 2012 .

[14]  Peter R. Stopher,et al.  Comparing GPS and prompted recall data records , 2010 .

[15]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.

[16]  Genevieve Fridlund Dunton,et al.  Mapping the social and physical contexts of physical activity across adolescence using ecological momentary assessment , 2007, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[17]  Richard R. Suminski,et al.  Walking During Leisure-Time in Relation to Perceived Neighborhoods , 2015 .

[18]  JoEllen Wilbur,et al.  Activity space environment and dietary and physical activity behaviors: a pilot study. , 2011, Health & place.

[19]  Validation of a computerized 24-hour physical activity recall (24PAR) instrument with pattern-recognition activity monitors. , 2009, Journal of physical activity & health.

[20]  Stewart G Trost,et al.  Conducting accelerometer-based activity assessments in field-based research. , 2005, Medicine and science in sports and exercise.

[21]  Peter Vovsha,et al.  Global Positioning System–Assisted Prompted Recall Household Travel Survey to Support Development of Advanced Travel Model in Jerusalem, Israel , 2011 .

[22]  Mariela Alfonzo,et al.  To Walk or Not to Walk? The Hierarchy of Walking Needs , 2005 .

[23]  J. Sallis,et al.  An ecological approach to creating active living communities. , 2006, Annual review of public health.