Quantifying sit-to-stand and stand-to-sit transitions in free-living environments using the activPAL thigh-worn activity monitor.

PURPOSE Standing up, sitting down and walking require considerable effort and coordination, which are crucial indicators to rehabilitation (e.g. stroke), and in older populations may indicate the onset of frailty and physical and cognitive decline. Currently, there are few reports robustly quantifying sit-to-stand and stand-to-sit transitions in free-living environments. The aim of this study was to identify and quantify these transitions using the peak velocity of sit-to-stand and stand-to-sit transitions to determine if these velocities were different in a healthy cohort and a mobility-impaired population. METHODS Free-living sit-to-stand and stand-to-sit acceleration data were recorded from 21 healthy volunteers and 34 stroke survivors using activPAL3™ monitors over a one-week period. Thigh inclination velocity was calculated from these accelerometer data. Maximum velocities were compared between populations. RESULTS A total of 10,299 and 11,392 sit-to-stand and stand-to-sit transitions were recorded in healthy volunteers and stroke survivors, respectively. Healthy volunteers had significantly higher overall mean peak velocities for both transitions compared with stroke survivors [70.7°/s ± 52.2 versus 44.2°/s ± 28.0 for sit-to-stand, P < 0.001 and 74.7°/s ± 51.8 versus 46.0°/s ± 31.9 for stand-to-sit; P < 0.001]. Mean peak velocity of transition was associated with increased variation in peak velocity across both groups. CONCLUSION There were significant differences in the mean peak velocity of sit-to-stand and stand-to-sit transitions between the groups. Variation in an individual's mean peak velocity may be associated with the ability to perform these transitions. This method could be used to evaluate the effectiveness of interventions following injury such as stroke, as well as monitor decline in functional ability.

[1]  M. Mancini,et al.  Sit-stand and stand-sit transitions in older adults and patients with Parkinson’s disease: event detection based on motion sensors versus force plates , 2012, Journal of NeuroEngineering and Rehabilitation.

[2]  Sylvie Nadeau,et al.  Determinants of sit-to-stand tasks in individuals with hemiparesis post stroke: A review. , 2015, Annals of physical and rehabilitation medicine.

[3]  R Riener,et al.  Biomechanical analysis of sit-to-stand transfer in healthy and paraplegic subjects. , 2000, Clinical biomechanics.

[4]  Malcolm H Granat,et al.  Event-based analysis of free-living behaviour , 2012, Physiological measurement.

[5]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[6]  P. Rowe,et al.  Changes in the physical activity of acute stroke survivors between inpatient and community living with early supported discharge: an observational cohort study. , 2016, Physiotherapy.

[7]  V. Cimolin,et al.  Quantitative analysis of sit to stand movement: experimental set-up definition and application to healthy and hemiplegic adults. , 2008, Gait & posture.

[8]  Wiebren Zijlstra,et al.  Sensor-based monitoring of sit-to-stand performance is indicative of objective and self-reported aspects of functional status in older adults. , 2015, Gait & posture.

[9]  R. Hubbard,et al.  Frailty in older inpatients: what physicians need to know. , 2012, QJM : monthly journal of the Association of Physicians.

[10]  Jeffrey M. Hausdorff,et al.  Association of muscle power with functional status in community-dwelling elderly women. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[11]  Gorjan Alagic,et al.  #p , 2019, Quantum information & computation.

[12]  G. Schuler,et al.  Physical activity , 2001, Public Health Nutrition.

[13]  Saeideh Aminian,et al.  Examining the validity of the ActivPAL monitor in measuring posture and ambulatory movement in children , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[14]  Henk J. Stam,et al.  Validity of accelerometry in assessing the duration of the sit-to-stand movement , 2008, Medical & Biological Engineering & Computing.

[15]  Richard W. Bohannon,et al.  Knee extension strength and body weight determine sit-to-stand independence after stroke , 2007, Physiotherapy theory and practice.

[16]  Dinesh John,et al.  Differentiating Sitting and Lying Using a Thigh-Worn Accelerometer. , 2016, Medicine and science in sports and exercise.

[17]  Andrew Kerr,et al.  Frequency of the sit to stand task: An observational study of free-living adults. , 2010, Applied ergonomics.

[18]  Ruud Selles,et al.  Recovery of the Sit-to-Stand Movement After Stroke: A Longitudinal Cohort Study , 2010, Neurorehabilitation and neural repair.

[19]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[20]  D. Giavarina Understanding Bland Altman analysis , 2015, Biochemia medica.

[21]  John Staudenmayer,et al.  Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample. , 2011, Journal of applied physiology.

[22]  Robertw . Mann,et al.  Mechanics of a constrained chair-rise. , 1991, Journal of biomechanics.

[23]  M. Granat,et al.  The validation of a novel activity monitor in the measurement of posture and motion during everyday activities , 2006, British Journal of Sports Medicine.

[24]  J. Bussmann,et al.  Ambulatory accelerometry to quantify motor behaviour in patients after failed back surgery: a validation study , 1998, Pain.

[25]  Dieter Felsenberg,et al.  Is muscle power output a key factor in the age‐related decline in physical performance? A comparison of muscle cross section, chair‐rising test and jumping power , 2004, Clinical physiology and functional imaging.

[26]  J. Bussmann,et al.  Walking and chair rising performed in the daily life situation before and after total hip arthroplasty. , 2011, Osteoarthritis and cartilage.

[27]  Deirdre M. Harrington,et al.  Criterion and Concurrent Validity of the activPAL™ Professional Physical Activity Monitor in Adolescent Females , 2012, PloS one.

[28]  Richard W. Bohannon,et al.  Relationship of knee extension force to independence in sit-to-stand performance in patients receiving acute rehabilitation. , 2003, Physical therapy.

[29]  S. Chastin,et al.  Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity. , 2010, Gait & posture.

[30]  Richard K. Jones,et al.  Validation of the activPAL activity monitor in children with hemiplegic gait patterns resultant from cerebral palsy , 2014, Prosthetics and orthotics international.

[31]  C. Matthews,et al.  Too much sitting: the population health science of sedentary behavior. , 2010, Exercise and sport sciences reviews.

[32]  L Chiari,et al.  Automated approach for quantifying the repeated sit-to-stand using one body fixed sensor in young and older adults. , 2013, Gait & posture.

[33]  M. Granat,et al.  Free-living physical activity as a novel outcome measure in patients with intermittent claudication. , 2013, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[34]  Thomas de Quincey [C] , 2000, The Works of Thomas De Quincey, Vol. 1: Writings, 1799–1820.

[35]  Peter Langhorne,et al.  Interventions for improving sit-to-stand ability following stroke. , 2014, The Cochrane database of systematic reviews.

[36]  V. Pomeroy,et al.  A comparison of knee kinematic characteristics of stroke patients and age-matched healthy volunteers , 2003, Clinical rehabilitation.

[37]  P. Kokkinos,et al.  Physical Activity, Health Benefits, and Mortality Risk , 2012, ISRN cardiology.