Motion Sensor Use for Physical Activity Data: Methodological Considerations

BackgroundPhysical inactivity continues to be a major risk factor for cardiovascular disease, and only one half of adults in the United States meet physical activity (PA) goals. PA data are often collected for surveillance or for measuring change after an intervention. One of the challenges in PA research is quantifying exactly how much and what type of PA is taking place—especially because self-report instruments have inconsistent validity. ObjectiveThe purpose is to review the elements to consider when collecting PA data via motion sensors, including the difference between PA and exercise, type of data to collect, choosing the device, length of time to monitor PA, instructions to the participants, and interpretation of the data. MethodsThe current literature on motion sensor research was reviewed and synthesized to summarize relevant considerations when using a motion sensor to collect PA data. ResultsExercise is a division of PA that is structured, planned, and repetitive. Pedometer data include steps taken and calculated distance and energy expenditure. Accelerometer data include activity counts and intensity. The device chosen depends on desired data, cost, validity, and ease of use. Reactivity to the device may influence the duration of data collection. Instructions to participants may vary depending on the purpose of the study. Experts suggest pedometer data be reported as steps—because that is the direct output—and distance traveled and energy expenditure are estimated values. Accelerometer count data may be analyzed to provide information on time spent in moderate or vigorous activity. DiscussionThoughtful decision making about PA data collection using motion sensor devices is needed to advance nursing science.

[1]  Gregory J Welk,et al.  Validity of consumer-based physical activity monitors. , 2014, Medicine and science in sports and exercise.

[2]  Joel Stein,et al.  Executive summary: heart disease and stroke statistics--2014 update: a report from the American Heart Association. , 2014, Circulation.

[3]  J. Haber,et al.  Nursing Research: Methods and Critical Appraisal for Evidence-Based Practice , 1998 .

[4]  S. Blair,et al.  A comparative evaluation of three accelerometry-based physical activity monitors. , 2000, Medicine and science in sports and exercise.

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

[6]  A. Bauman,et al.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. , 2007, Circulation.

[7]  M. Devonald,et al.  Current opinion in clinical nutrition and metabolic care. , 2008, Current opinion in clinical nutrition and metabolic care.

[8]  I. Olkin,et al.  Using pedometers to increase physical activity and improve health: a systematic review. , 2007, JAMA.

[9]  Catrine Tudor-Locke,et al.  Accelerometer-determined steps per day in US adults. , 2009, Medicine and science in sports and exercise.

[10]  Anita M. Myers,et al.  Methodological Considerations for Researchers and Practitioners Using Pedometers to Measure Physical (Ambulatory) Activity , 2001, Research quarterly for exercise and sport.

[11]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. , 2009, Circulation.

[12]  David R Bassett,et al.  Pedometry methods for assessing free-living adults. , 2011, Journal of physical activity & health.

[13]  Skip M. Williams,et al.  Concurrent validation of the Actigraph gt3x+, Polar Active accelerometer, Omron HJ-720 and Yamax Digiwalker SW-701 pedometer step counts in lab-based and free-living settings , 2015, Journal of sports sciences.

[14]  Shaw Bronner,et al.  Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry , 2013, Journal of medical engineering & technology.

[15]  D. Bassett,et al.  Comparison of the college alumnus questionnaire physical activity index with objective monitoring. , 2004, Annals of epidemiology.

[16]  S. L. Hamilton,et al.  Four-week pedometer-determined activity patterns in normal-weight, overweight and obese adults. , 2008, Preventive medicine.

[17]  L. Collins Analysis of longitudinal data: the integration of theoretical model, temporal design, and statistical model. , 2006, Annual review of psychology.

[18]  C. Tudor-Locke,et al.  Revisiting "how many steps are enough?". , 2008, Medicine and science in sports and exercise.

[19]  D. Mozaffarian,et al.  Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association's Strategic Impact Goal Through 2020 and Beyond , 2010, Circulation.

[20]  Ulf Ekelund,et al.  Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association. , 2013, Circulation.

[21]  Sung Gyoo Park Medicine and Science in Sports and Exercise , 1981 .

[22]  Celementina R. Russo,et al.  The Quantified Self , 2015, HCI.

[23]  Daniel E. Rivera,et al.  The importance of behavior theory in control system modeling of physical activity sensor data , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Minsoo Kang,et al.  Validity and reliability of Omron pedometers for prescribed and self-paced walking. , 2009, Medicine and science in sports and exercise.

[25]  Søren Brage,et al.  Accelerometers and pedometers: methodology and clinical application , 2007, Current opinion in clinical nutrition and metabolic care.

[26]  Song Yang,et al.  Imputation of missing data when measuring physical activity by accelerometry. , 2005, Medicine and science in sports and exercise.

[27]  C. Tudor-Locke,et al.  Accelerometer steps/day translation of moderate-to-vigorous activity. , 2011, Preventive medicine.

[28]  Adam R Hafdahl,et al.  Meta-analysis of patient education interventions to increase physical activity among chronically ill adults. , 2008, Patient education and counseling.

[29]  Edward A. Chow,et al.  The Disparate Impact of Diabetes on Racial/Ethnic Minority Populations , 2012, Clinical Diabetes.

[30]  Yves Schutz,et al.  Validity of four short physical activity questionnaires in middle-aged persons. , 2006, Medicine and science in sports and exercise.

[31]  M. Gerrity,et al.  Screening for depression and suicidality in a VA primary care setting: 2 items are better than 1 item. , 2004, The American journal of managed care.

[32]  G. L. Engel The need for a new medical model: a challenge for biomedicine. , 2012, Psychodynamic psychiatry.

[33]  David R Bassett,et al.  Accelerometer-based physical activity: total volume per day and standardized measures. , 2015, Medicine and science in sports and exercise.

[34]  Karin A Pfeiffer,et al.  Energy Expenditure Prediction Using Raw Accelerometer Data in Simulated Free Living. , 2015, Medicine and science in sports and exercise.

[35]  S. Clemes,et al.  Presence and duration of reactivity to pedometers in adults. , 2012, Medicine and science in sports and exercise.

[36]  Charles E Matthews,et al.  Comparative validity of physical activity measures in older adults. , 2011, Medicine and science in sports and exercise.

[37]  J. Takács,et al.  Validation of the Fitbit One activity monitor device during treadmill walking. , 2014, Journal of science and medicine in sport.

[38]  Jeongeun Kim Analysis of health consumers' behavior using self-tracker for activity, sleep, and diet. , 2014, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[39]  B. Ainsworth,et al.  The current state of physical activity assessment tools. , 2015, Progress in cardiovascular diseases.

[40]  Establishing a threshold for the number of missing days using 7 d pedometer data. , 2012, Physiological measurement.

[41]  John Staudenmayer,et al.  Statistical considerations in the analysis of accelerometry-based activity monitor data. , 2012, Medicine and science in sports and exercise.

[42]  Scott E. Crouter,et al.  Validity of Consumer-Based Physical Activity Monitors for Estimating Energy Expenditure in Youth , 2017 .