Calibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91 years: The Women's Health Initiative OPACH Calibration Study

Objective We conducted a laboratory-based calibration study to determine relevant cutpoints for a hip-worn accelerometer among women ≥ 60 years, considering both type and filtering of counts. Methods Two hundred women wore an ActiGraph GT3X + accelerometer on their hip while performing eight laboratory-based activities. Oxygen uptake was measured using an Oxycon portable calorimeter. Accelerometer data were analyzed in 15-second epochs for both normal and low frequency extension (LFE) filters. Receiver operating characteristic (ROC) curve analyses were used to calculate cutpoints for sedentary, light (low and high), and moderate to vigorous physical activity (MVPA) using the vertical axis and vector magnitude (VM) counts. Results Mean age was 75.5 years (standard deviation 7.7). The Spearman correlation between oxygen uptake and accelerometry ranged from 0.77 to 0.85 for the normal and LFE filters and for both the vertical axis and VM. The area under the ROC curve was generally higher for VM compared to the vertical axis, and higher for cutpoints distinguishing MVPA compared to sedentary and light low activities. The VM better discriminated sedentary from light low activities compared to the vertical axis. The area under the ROC curves were better for the LFE filter compared to the normal filter for the vertical axis counts, but no meaningful differences were found by filter type for VM counts. Conclusion The cutpoints derived for this study among women ≥ 60 years can be applied to ongoing epidemiologic studies to define a range of physical activity intensities.

[1]  S. Blair,et al.  Validation of the actical activity monitor in middle-aged and older adults. , 2011, Journal of physical activity & health.

[2]  M. Hagströmer,et al.  Comparison of two accelerometer filter settings in individuals with Parkinson’s disease , 2014, Physiological measurement.

[3]  Nancy W Glynn,et al.  Use of accelerometry to measure physical activity in older adults at risk for mobility disability. , 2008, Journal of aging and physical activity.

[4]  Patty S. Freedson,et al.  A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations , 2011, European Journal of Applied Physiology.

[5]  B. Ainsworth,et al.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. , 2000, Medicine and science in sports and exercise.

[6]  Christopher H. Morrell,et al.  Accelerated Longitudinal Decline of Aerobic Capacity in Healthy Older Adults , 2005, Circulation.

[7]  Nicole Probst-Hensch,et al.  Effects of filter choice in GT3X accelerometer assessments of free-living activity. , 2013, Medicine and science in sports and exercise.

[8]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[9]  Lippincott Williams Wilkins Physical Activity and Public Health in Older Adults , 2007 .

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

[11]  A. King,et al.  Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. , 2007, Medicine and science in sports and exercise.

[12]  John Staudenmayer,et al.  Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption. , 2010, Journal of physical activity & health.

[13]  Todd M Manini,et al.  Metabolic Cost of Daily Activities and Effect of Mobility Impairment in Older Adults , 2011, Journal of the American Geriatrics Society.

[14]  P. Whincup,et al.  Adherence to physical activity guidelines in older adults, using objectively measured physical activity in a population-based study , 2014, BMC Public Health.

[15]  P. Freedson,et al.  Validation of a previous-day recall measure of active and sedentary behaviors. , 2013, Medicine and science in sports and exercise.

[16]  B. Ainsworth,et al.  Test-retest reliability and validity of the 400-meter walk test in healthy, middle-aged women. , 2010, Journal of physical activity & health.

[17]  Lewis H Kuller,et al.  Issues in accelerometer methodology: the role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post-menopausal women , 2010, The international journal of behavioral nutrition and physical activity.

[18]  V. Lopes,et al.  Actigraph calibration in obese/overweight and type 2 diabetes mellitus middle-aged to old adult patients. , 2009, Journal of physical activity & health.

[19]  Kate Lyden,et al.  Accelerometer output and MET values of common physical activities. , 2010, Medicine and science in sports and exercise.

[20]  Tom Baranowski,et al.  Decision boundaries and receiver operating characteristic curves: New methods for determining accelerometer cutpoints , 2007, Journal of sports sciences.

[21]  Benjamin J. Tamber-Rosenau,et al.  Avoiding non-independence in fMRI data analysis: Leave one subject out , 2010, NeuroImage.

[22]  R. Mcmurray,et al.  Calibration of two objective measures of physical activity for children , 2008, Journal of sports sciences.

[23]  Miriam C Morey,et al.  METs and accelerometry of walking in older adults: standard versus measured energy cost. , 2013, Medicine and science in sports and exercise.

[24]  A. King,et al.  Physical Activity and Public Health in Older Adults , 2007 .

[25]  L. Ferrucci,et al.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. , 1994, Journal of gerontology.

[26]  T. Harris,et al.  Changes in Daily Activity Patterns with Age in U.S. Men and Women: National Health and Nutrition Examination Survey 2003–04 and 2005–06 , 2014, Journal of the American Geriatrics Society.

[27]  T. Barstow,et al.  The level and tempo of children's physical activities: an observational study. , 1995, Medicine and science in sports and exercise.

[28]  A. Rowlands,et al.  Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph. , 2013, Journal of science and medicine in sport.

[29]  John Staudenmayer,et al.  An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. , 2009, Journal of applied physiology.

[30]  James F Sallis,et al.  Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and the low frequency extension , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[31]  K Y Liang,et al.  Longitudinal data analysis for discrete and continuous outcomes. , 1986, Biometrics.

[32]  Kate White,et al.  Strategies for Piloting a Breast Health Promotion Program in the Chinese-Australian Population , 2011, Preventing chronic disease.

[33]  G. Borg,et al.  Perceived Exertion and Pulse Rate during Graded Exercise in Various Age Groups , 2009 .

[34]  D T Lowenthal,et al.  Relative heart rate, heart rate reserve, and VO2 during submaximal exercise in the elderly. , 1996, The journals of gerontology. Series A, Biological sciences and medical sciences.

[35]  F. Goss,et al.  Validation of the OMNI-cycle scale of perceived exertion in the elderly. , 2010, Journal of aging and physical activity.

[36]  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.

[37]  Dale W Esliger,et al.  Accelerometer assessment of physical activity in active, healthy older adults. , 2009, Journal of aging and physical activity.

[38]  Leena Choi,et al.  Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. , 2012, Medicine and science in sports and exercise.

[39]  E. Howley Errors in MET estimates of physical activities using 3.5 ml·kg⁻¹·min⁻¹ as the baseline oxygen consumption. , 2011, Journal of physical activity & health.

[40]  E. Simonsick,et al.  Assessment of physical function and exercise tolerance in older adults: Reproducibility and comparability of five measures , 2000, Aging.