Validation of a Commercial and Custom Made Accelerometer-Based Software for Step Count and Frequency during Walking and Running

Background: Walking and running are main human locomotor activities during daily living, and well known to strongly predict health impairment and mortality. Hence, the main aim of this study was to assess the ability of a commercial and a custom made software for determining number of steps and step frequency during walking and running with an accelerometer in a semi-standardized setting. Methods: 20 subjects (6 males and 14 females) equipped with the Actigraph GT3X+ tri-axial accelerometer at the thigh and the hip carried out a protocol of three walking speeds and three running speeds. The validity of the accelerometer ability to count steps and estimate step frequency was determined by comparing data from ActiLife 5 and custom made software (Acti4) with observations from video recordings from the different activity speeds. Results: No significant differences in number of steps or step frequencies were found between the video observations and Acti4 measures in any walking and running speeds. The ActiLife 5 software recorded a significantly lower number of steps and step frequencies compared to the video observations in the three walking speeds and in the fastest running speed. Pearson’s correlations and Bland-Altman plots indicated large to very large correlations and a high degree of agreement between the video observations and both the custom made Acti4 software and commercially available ActiLife software at all speeds of walking and running. Conclusion: The custom made Acti4 software showed valid for estimating steps and step frequency at slow, moderate and fast speeds of walking and running. Combined with the ability to detect activity type, the Acti4 software provides a valid objective method for measurements of number of steps and step frequencies.

[1]  Bryan L Haddock,et al.  Energy Expenditure Comparison Between Walking and Running in Average Fitness Individuals , 2012, Journal of strength and conditioning research.

[2]  H. B. Falls,et al.  Energy cost of running and walking in young women. , 1976, Medicine and science in sports.

[3]  I-Min Lee,et al.  The importance of walking to public health. , 2008, Medicine and science in sports and exercise.

[4]  A. G. Fisher,et al.  Caloric cost of walking and running. , 1978, Medicine and science in sports.

[5]  Catrine Tudor-Locke,et al.  How Many Steps/Day Are Enough? Preliminary Pedometer Indices for Public Health , 2004 .

[6]  Thomas L. Patterson,et al.  Direct observation of physical activity and dietary behaviors in a structured environment: Effects of a family-based health promotion program , 2004, Journal of Behavioral Medicine.

[7]  Maria Hagströmer,et al.  The repeatability and validity of questionnaires assessing occupational physical activity--a systematic review. , 2011, Scandinavian journal of work, environment & health.

[8]  E. Howley,et al.  The caloric costs of running and walking one mile for men and women. , 1974, Medicine and science in sports.

[9]  S. Ebrahim,et al.  Exercise-based rehabilitation for patients with coronary heart disease: systematic review and meta-analysis of randomized controlled trials. , 2004, The American journal of medicine.

[10]  Charlie Potter,et al.  Comparison of activity monitors to estimate energy cost of treadmill exercise. , 2004, Medicine and science in sports and exercise.

[11]  Bo Fernhall,et al.  Energy expenditure of walking and running: comparison with prediction equations. , 2004, Medicine and science in sports and exercise.

[12]  K Miyashita,et al.  Walking 10,000 steps/day or more reduces blood pressure and sympathetic nerve activity in mild essential hypertension. , 2000, Hypertension research : official journal of the Japanese Society of Hypertension.

[13]  R. Eston,et al.  Influence of speed and step frequency during walking and running on motion sensor output. , 2007, Medicine and science in sports and exercise.

[14]  Jørgen Skotte,et al.  Detection of physical activity types using triaxial accelerometers. , 2014, Journal of physical activity & health.

[15]  S. Blair,et al.  Is physical activity or physical fitness more important in defining health benefits? , 2001, Medicine and science in sports and exercise.

[16]  W. Chan,et al.  Randomised controlled trial of home-based walking programmes at and below current recommended levels of exercise in sedentary adults , 2007, Journal of Epidemiology and Community Health.

[17]  D. Bassett,et al.  Comparison of four ActiGraph accelerometers during walking and running. , 2010, Medicine and science in sports and exercise.

[18]  D. Bassett,et al.  Accuracy of the Actiheart for the assessment of energy expenditure in adults , 2008, European Journal of Clinical Nutrition.

[19]  Yuzo Sato,et al.  Daily Walking Combined With Diet Therapy Is a Useful Means for Obese NIDDM Patients Not Only to Reduce Body Weight But Also to Improve Insulin Sensitivity , 1995, Diabetes Care.

[20]  B E Ainsworth,et al.  How many days of pedometer monitoring predict weekly physical activity in adults? , 2005, Preventive medicine.

[21]  P Asterland,et al.  Questionnaire versus direct technical measurements in assessing postures and movements of the head, upper back, arms and hands. , 2001, Scandinavian journal of work, environment & health.

[22]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[23]  J. Kanaley,et al.  Do Overweight and Obese Individuals Select a “Moderate Intensity” Workload When Asked to Do So? , 2012, Journal of obesity.

[24]  L. Portney,et al.  Foundations of Clinical Research: Applications to Practice , 2015 .