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Measuring Weight-Bearing Activities in Patients With Previous Diabetic Foot Ulcers. J Wound Ostomy Continence Nurs 2017; 44:34-40. [PMID: 27556347 DOI: 10.1097/won.0000000000000270] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE The purpose of this article was to evaluate the accuracy of 2 physical activity monitors, monitors 1 and 2, for measuring weight-bearing activity in persons with prior diabetic foot ulcers. DESIGN Cross-sectional design. INSTRUMENTS Two recently developed monitors were used to differentiate anatomical postures such as lying, sitting, and standing upright. One monitor was designed to distinguish between duration of standing and walking and the other combines duration of standing and walking into 1 measure. SUBJECTS AND SETTING Thirty-one subjects were recruited; all participants had experienced a diabetic foot ulcer and completed participation in a previous cohort study. The study setting was 2 medical centers in the Midwestern United States. METHODS Subjects simultaneously wore the 2 monitors while performing 14 weight-bearing (ie, walking and standing) and non-weight-bearing (ie, sitting and lying) activities. The duration spent on each activity and the total number of steps taken for each walking activity were directly observed and recorded with each monitor. The accuracy of monitors 1 and 2 was assessed via direct observation as a reference standard. Paired-samples t tests were used to examine the difference in accuracy between the 2 monitors. RESULTS For measuring duration of activity, the accuracy of monitor 1 ranged from 73% to 100% for walking, 50% for standing, and from 42% to 100% for sitting/lying. In contrast, the accuracy of monitor 2 ranged from 98% to 100% for walking, 100% for standing, and from 97% to 100% for sitting/lying. The accuracy of monitor 1 for counting the number of steps ranged from 43% to 81%, while the accuracy of monitor 2 ranged from 91% to 99%. Monitor 2 was significantly more accurate than monitor 1 in measuring duration of standing still, slow walking, pedaling while sitting, lying on the left, and lying on the right, as well as measuring steps across different kinds of walking activities. Differences in monitor accuracy between subjects with and without foot pain and between subjects with and without foot amputation were not statistically significant. CONCLUSION These findings suggest that monitor 2 is a more accurate measure of weight-bearing activities than monitor 1 among patients with previous diabetic foot ulcers. Additionally, the 2 monitors differ in terms of function; monitor 2 distinguishes standing from walking, whereas monitor 1 combines standing and walking into 1 measure. We recommend monitor 2 to examine the impact of weight-bearing activity on foot ulceration in patients with diabetic neuropathy.
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Lu LH, Chiang SL, Wei SH, Lin CH, Sung WH. Development and clinical application of a computer-aided real-time feedback system for detecting in-bed physical activities. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2017; 147:11-17. [PMID: 28734526 DOI: 10.1016/j.cmpb.2017.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 04/13/2017] [Accepted: 05/26/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND AND OBJECTIVE Being bedridden long-term can cause deterioration in patients' physiological function and performance, limiting daily activities and increasing the incidence of falls and other accidental injuries. Little research has been carried out in designing effective detecting systems to monitor the posture and status of bedridden patients and to provide accurate real-time feedback on posture. The purposes of this research were to develop a computer-aided system for real-time detection of physical activities in bed and to validate the system's validity and test-retest reliability in determining eight postures: motion leftward/rightward, turning over leftward/rightward, getting up leftward/rightward, and getting off the bed leftward/rightward. METHODS The in-bed physical activity detecting system consists mainly of a clinical sickbed, signal amplifier, a data acquisition (DAQ) system, and operating software for computing and determining postural changes associated with four load cell sensing components. Thirty healthy subjects (15 males and 15 females, mean age = 27.8 ± 5.3 years) participated in the study. All subjects were asked to execute eight in-bed activities in a random order and to participate in an evaluation of the test-retest reliability of the results 14 days later. Spearman's rank correlation coefficient was used to compare the system's determinations of postural states with researchers' recordings of postural changes. The test-retest reliability of the system's ability to determine postures was analyzed using the interclass correlation coefficient ICC(3,1). RESULTS The system was found to exhibit high validity and accuracy (r = 0.928, p < 0.001; accuracy rate: 87.9%) in determining in-bed displacement, turning over, sitting up, and getting off the bed. The system was particularly accurate in detecting motion rightward (90%), turning over leftward (83%), sitting up leftward or rightward (87-93%), and getting off the bed (100%). The test-retest reliability ICC(3,1) value was 0.968 (p < 0.001). CONCLUSIONS The system developed in this study exhibits satisfactory validity and reliability in detecting changes in-bed body postures and can be beneficial in assisting caregivers and clinical nursing staff in detecting the in-bed physical activities of bedridden patients and in developing fall prevention warning systems.
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Affiliation(s)
- Liang-Hsuan Lu
- Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Shang-Lin Chiang
- Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, and Department of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Taipei, Taiwan, ROC
| | - Shun-Hwa Wei
- Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Chueh-Ho Lin
- School of Gerontology Health Management and Master Program in Long-Term Care, Taipei Medical University, Taipei, Taiwan, ROC.
| | - Wen-Hsu Sung
- Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan, ROC.
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Gunn H, Andrade J, Paul L, Miller L, Creanor S, Green C, Marsden J, Ewings P, Berrow M, Vickery J, Barton A, Marshall B, Zajicek J, Freeman JA. Balance Right in Multiple Sclerosis (BRiMS): a guided self-management programme to reduce falls and improve quality of life, balance and mobility in people with secondary progressive multiple sclerosis: a protocol for a feasibility randomised controlled trial. Pilot Feasibility Stud 2017; 4:26. [PMID: 28770099 PMCID: PMC5530568 DOI: 10.1186/s40814-017-0168-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 07/03/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Impaired mobility is a cardinal feature of multiple sclerosis (MS) and is rated by people with MS as their highest priority. By the secondary progressive phase, balance, mobility and physical activity levels are significantly compromised; an estimated 70% of people with secondary progressive MS fall regularly. Our ongoing research has systematically developed 'Balance Right in MS' (BRiMS), an innovative, manualised 13-week guided self-management programme tailored to the needs of people with MS, designed to improve safe mobility and minimise falls. Our eventual aim is to assess the clinical and cost effectiveness of BRiMS in people with secondary progressive MS by undertaking an appropriately statistically powered, multi-centre, assessor-blinded definitive, randomised controlled trial. This feasibility study will assess the acceptability of the intervention and test the achievability of running such a definitive trial. METHODS/DESIGN This is a pragmatic multi-centre feasibility randomised controlled trial with blinded outcome assessment. Sixty ambulant people with secondary progressive MS who self-report two or more falls in the previous 6 months will be randomly allocated (1:1) to either the BRiMS programme plus usual care or to usual care alone. All participants will be assessed at baseline and followed up at 15 weeks and 27 weeks post-randomisation. The outcomes of this feasibility trial include:Feasibility outcomes, including trial recruitment, retention and completionAssessment of the proposed outcome measures for the anticipated definitive trial (including measures of walking, quality of life, falls, balance and activity level)Measures of adherence to the BRiMS programmeData to inform the economic evaluation in a future trialProcess evaluation (assessment of treatment fidelity and qualitative evaluation of participant and treating therapist experience). DISCUSSION The BRiMS intervention aims to address a key concern for MS service users and providers. However, there are several uncertainties which need to be addressed prior to progressing to a full-scale trial, including acceptability of the BRiMS intervention and practicality of the trial procedures. This feasibility trial will provide important insights to resolve these uncertainties and will enable a protocol to be finalised for use in the definitive trial. TRIAL REGISTRATION ISRCTN13587999.
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Affiliation(s)
- H. Gunn
- Faculty of Health and Human Sciences, School of Health Professions, Plymouth University, Peninsula Allied Health Centre, Derriford Rd, Plymouth, PL6 8BH UK
| | - J. Andrade
- Faculty of Health and Human Sciences, School of Psychology, Portland Square Building, Drake Circus Campus, Plymouth, PL4 8AA UK
| | - L. Paul
- School of Health & Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA UK
| | - L. Miller
- School of Health & Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA UK
- Douglas Grant Rehabilitation Unit, Ayrshire Central Hospital, Kilwinning Road, Irvine, KA12 8SS UK
| | - S. Creanor
- Peninsula Schools of Medicine and Dentistry, Peninsula Clinical Trials Unit at Plymouth University (PenCTU), Room N16, Plymouth Science Park, Plymouth, PL6 8BX UK
- Medical Statistics, Peninsula Schools of Medicine and Dentistry, Room N15, Plymouth Science Park, Plymouth, PL6 8BX UK
| | - C. Green
- University of Exeter Medical School, Health Economics Group, University of Exeter, St Luke’s Campus, Exeter, EX1 2 LU UK
| | - J. Marsden
- Faculty of Health and Human Sciences, School of Health Professions, Plymouth University, Peninsula Allied Health Centre, Derriford Rd, Plymouth, PL6 8BH UK
| | - P. Ewings
- NIHR Research Design Service (South West), Musgrove Park Hospital, Taunton, TA1 5DA UK
| | - M. Berrow
- Peninsula Schools of Medicine and Dentistry, Peninsula Clinical Trials Unit at Plymouth University (PenCTU), Room N16, Plymouth Science Park, Plymouth, PL6 8BX UK
| | - J. Vickery
- Peninsula Schools of Medicine and Dentistry, Peninsula Clinical Trials Unit at Plymouth University (PenCTU), Room N16, Plymouth Science Park, Plymouth, PL6 8BX UK
| | - A. Barton
- NIHR Research Design Service, Peninsula Schools of Medicine and Dentistry, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX UK
| | | | - J. Zajicek
- School of Medicine, Medical and Biological Sciences, University of St Andrews, North Haugh, St Andrews, KY16 9TF UK
| | - J. A. Freeman
- Faculty of Health and Human Sciences, School of Health Professions, Plymouth University, Peninsula Allied Health Centre, Derriford Rd, Plymouth, PL6 8BH UK
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Jeldi AJ, Deakin AH, Allen DJ, Granat MH, Grant M, Stansfield BW. Total Hip Arthroplasty Improves Pain and Function but Not Physical Activity. J Arthroplasty 2017; 32:2191-2198. [PMID: 28285898 DOI: 10.1016/j.arth.2017.02.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 01/09/2017] [Accepted: 02/02/2017] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND People with hip osteoarthritis are likely to limit physical activity (PA) engagement due to pain and lack of function. Total hip arthroplasty (THA) reduces pain and improves function, potentially allowing increased PA. PA of THA patients was quantified to 12 months postoperation. The hypothesis was that postoperatively levels of PA would increase. METHODS PA of 30 THA patients (67 ± 7 years) was objectively measured preoperatively and 3 and 12 months postoperation. Harris Hip Score (HHS), Oxford Hip Score (OHS), and 6-minute walk test (6MWT) were recorded. Mixed linear modelling was used to examine relationships of outcomes with time, baseline body mass index (BMI), age, gender, and baseline HHS. RESULTS Time was not a significant factor in predicting volume measures of PA, including sit-to-stand transitions, upright time, and steps. Notably, baseline BMI was a significant predictor of upright time, steps, largest number of steps in an upright bout, HHS, and 6MWT. Baseline HHS helped predict longest upright bout, cadence of walking bouts longer than 60 seconds, and OHS. The significant effect of participant as a random intercept in the model for PA outcomes suggested habituation from presurgery to postsurgery. CONCLUSION Volume measures of PA did not change from presurgery to 12 months postsurgery despite improvement in HHS, OHS, and 6MWT. Baseline BMI was a more important predictor of upright activity and stepping than time. Preoperative and postoperative PA promotion could be used to modify apparently habitual low levels of PA to enable full health benefits of THA to be gained.
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Affiliation(s)
- Artaban J Jeldi
- Department of Psychology, Social Work and Allied Health Sciences, Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK; Department of Orthopaedics, Golden Jubilee National Hospital, Glasgow, UK
| | - Angela H Deakin
- Department of Orthopaedics, Golden Jubilee National Hospital, Glasgow, UK
| | - David J Allen
- Department of Orthopaedics, Golden Jubilee National Hospital, Glasgow, UK
| | | | - Margaret Grant
- Department of Psychology, Social Work and Allied Health Sciences, Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Ben W Stansfield
- Department of Psychology, Social Work and Allied Health Sciences, Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
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Daily Physical Activity in Total Hip Arthroplasty Patients Undergoing Different Surgical Approaches. Am J Phys Med Rehabil 2017. [DOI: 10.1097/phm.0000000000000657] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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Bellettiere J, Winkler EAH, Chastin SFM, Kerr J, Owen N, Dunstan DW, Healy GN. Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults. PLoS One 2017; 12:e0180119. [PMID: 28662164 PMCID: PMC5491133 DOI: 10.1371/journal.pone.0180119] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 06/11/2017] [Indexed: 01/30/2023] Open
Abstract
Background High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation. Methods In 2011/12, 739 adults aged 36 to 89 years (mean±SD 58±10 years) wore activPAL3™ monitors (which provide accurate objective measures of sitting); 678 provided ≥4 valid days of monitor data and complete cardio-metabolic biomarker and confounder data. Multivariable linear regression models examined associations of sitting time, sitting time accrued in ≥30 minute bouts (prolonged sitting time), and three measures of sitting accumulation patterns with cardio-metabolic risk markers: body mass index (BMI), waist circumference, blood pressure, high- and low- density lipoprotein (HDL and LDL) cholesterol, triglycerides, glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 2-hour post-load glucose (PLG). Interactions tests examined whether associations of sitting time with biomarkers varied by usual sitting bout duration. Results Adjusted for potential confounders, greater amounts of sitting time and prolonged sitting time were significantly (p<0.05) deleteriously associated with BMI, waist circumference, HDL cholesterol, and triglycerides. Total sitting time was also significantly associated with higher PLG. Sitting accumulation patterns of frequently interrupted sitting (compared to patterns with relatively more prolonged sitting) were significantly beneficially associated with BMI, waist circumference, HDL cholesterol, triglycerides, PLG, and with FPG. Effect sizes were typically larger for accumulation patterns than for sitting time. Significant interactions (p<0.05) showed that associations of sitting time with HDL, triglycerides and PLG became more deleterious the longer at a time sitting was usually accumulated. Conclusions Adding to previous evidence reliant on low-quality measures, our study showed that accumulating sitting in patterns where sitting was most frequently interrupted had significant beneficial associations with several cardio-metabolic biomarkers and that sitting for prolonged periods at a time may exacerbate some of the effects of sitting time. The findings support sedentary behavior guidelines that promote reducing and regularly interrupting sitting.
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Affiliation(s)
- John Bellettiere
- San Diego State University/University of California, San Diego | Joint Doctoral Program in Public Health (Epidemiology), San Diego, California, United States of America
- Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
- * E-mail:
| | | | - Sebastien F. M. Chastin
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Gent, East Flanders, Belgium
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Neville Owen
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Swinburne University of Technology, Melbourne, Victoria, Australia
| | - David W. Dunstan
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Mary McKillop Institute of Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Genevieve N. Healy
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Physiotherapy, Curtin University, Perth, Western Australia, Australia
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Varela-Mato V, O’Shea O, King JA, Yates T, Stensel DJ, Biddle SJH, Nimmo MA, Clemes SA. Cross-sectional surveillance study to phenotype lorry drivers' sedentary behaviours, physical activity and cardio-metabolic health. BMJ Open 2017. [PMID: 28637722 PMCID: PMC5577867 DOI: 10.1136/bmjopen-2016-013162] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVES Elevated risk factors for a number of chronic diseases have been identified in lorry drivers. Unhealthy lifestyle behaviours such as a lack of physical activity (PA) and high levels of sedentary behaviour (sitting) likely contribute to this elevated risk. This study behaviourally phenotyped UK lorry drivers' sedentary and non-sedentary behaviours during workdays and non-workdays and examined markers of drivers cardio-metabolic health. SETTING A transport company from the East Midlands, UK. PARTICIPANTS A sample of 159 male heavy goods vehicle drivers (91% white European; (median (range)) age: 50 (24, 67) years) completed the health assessments. 87 (age: 50.0 (25.0, 65.0); body mass index (BMI): 27.7 (19.6, 43.4) kg/m2) provided objective information on sedentary and non-sedentary time. OUTCOMES Participants self-reported their sociodemographic information. Primary outcomes: sedentary behaviour and PA, assessed over 7 days using an activPAL3 inclinometer. Cardio-metabolic markers included: blood pressure (BP), heart rate, waist circumference (WC), hip circumference, body composition and fasted capillary blood glucose, triglycerides, high-density lipopreotein cholesterol, low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) levels. These cardio-metabolic markers were treated as secondary outcomes. RESULTS Lorry drivers presented an unhealthy cardio-metabolic health profile (median (IQR) systolic BP: 129 (108.5, 164) mm Hg; diastolic BP: 81 (63, 104) mm Hg; BMI: 29 (20, 47) kg/m2; WC: 102 (77.5, 146.5) cm; LDL-C: 3 (1, 6) mmol/L; TC: 4.9 (3, 7.5) mmol/L). 84% were overweight or obese, 43% had type 2 diabetes or prediabetes and 34% had the metabolic syndrome. The subsample of lorry drivers with objective postural data (n=87) accumulated 13 hours/day and 8 hours/day of sedentary behaviour on workdays and non-workdays (p<0.001), respectively. On average, drivers accrued 12 min/day on workdays and 6 min/day on non-workdays of moderate-to-vigorous PA (MVPA). CONCLUSION Lorry drivers demonstrate a high-risk cardio-metabolic profile and are highly sedentary and physically inactive. Interventions to reduce sitting and increase MVPA during breaks and leisure time to improve cardio-metabolic health are urgently needed. Educational programmes to raise awareness about diet and exercise are recommended.
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Affiliation(s)
- Veronica Varela-Mato
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- Lifestyle and Physical Activity Biomedical Research Unit, NIHR Leicester-Loughborough Diet, Loughborough, UK
| | - Orlagh O’Shea
- Centre for Health and Rehabilitation Technologies, Institute for Nursing and Health Research, Ulster University, Newtownabbey, UK
| | - James A King
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- Lifestyle and Physical Activity Biomedical Research Unit, NIHR Leicester-Loughborough Diet, Loughborough, UK
| | - Thomas Yates
- Lifestyle and Physical Activity Biomedical Research Unit, NIHR Leicester-Loughborough Diet, Loughborough, UK
- Leicester Diabetes Centre, University of Leicester, Leicester, UK
| | - David J Stensel
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- Lifestyle and Physical Activity Biomedical Research Unit, NIHR Leicester-Loughborough Diet, Loughborough, UK
| | - Stuart JH Biddle
- Institute of Sport, Exercise & Active Living (ISEAL), Victoria University, Melbourne, Australia
| | - Myra A Nimmo
- College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Stacy A Clemes
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- Lifestyle and Physical Activity Biomedical Research Unit, NIHR Leicester-Loughborough Diet, Loughborough, UK
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Edwardson CL, Winkler EA, Bodicoat DH, Yates T, Davies MJ, Dunstan DW, Healy GN. Considerations when using the activPAL monitor in field-based research with adult populations. JOURNAL OF SPORT AND HEALTH SCIENCE 2017; 6:162-178. [PMID: 30356601 PMCID: PMC6188993 DOI: 10.1016/j.jshs.2016.02.002] [Citation(s) in RCA: 305] [Impact Index Per Article: 38.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 10/26/2015] [Accepted: 12/04/2015] [Indexed: 05/28/2023]
Abstract
Research indicates that high levels of sedentary behavior (sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior (and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activPAL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activPAL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activPAL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activPAL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia.
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Affiliation(s)
- Charlotte L. Edwardson
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Elisabeth A.H. Winkler
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
| | - Danielle H. Bodicoat
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Tom Yates
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Melanie J. Davies
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - David W. Dunstan
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC 3125, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3800, Australia
- School of Sport Science, Exercise and Health, The University of Western Australia, Perth, WA 6009, Australia
- Central Clinical School, Monash University, Melbourne, VIC 3800, Australia
| | - Genevieve N. Healy
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA 6102, Australia
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Sawyer A, Smith L, Ucci M, Jones R, Marmot A, Fisher A. Perceived office environments and occupational physical activity in office-based workers. Occup Med (Lond) 2017; 67:260-267. [PMID: 28339829 PMCID: PMC5927093 DOI: 10.1093/occmed/kqx022] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Individuals in office-based occupations have low levels of physical activity but there is little research into the socio-ecological correlates of workplace activity. AIMS To identify factors contributing to office-based workers' perceptions of the office environment and explore cross-sectional relationships between these factors and occupational physical activity. METHODS Participants in the Active Buildings study reported perceptions of their office environment using the Movement at Work Survey. A principal component analysis (PCA) was conducted on survey items. A sub-sample wore the ActivPAL3TM accelerometer for ≥3 workdays to measure occupational step count, standing, sitting and sit-to-stand transitions. Linear regression analyses assessed relationships between environmental perceptions and activity. RESULTS There were 433 participants, with accelerometer data available for 115 participants across 11 organ izations. The PCA revealed four factors: (i) perceived distance to office destinations, (ii) perceived office aesthetics and comfort, (iii) perceived office social environment and (iv) perceived management discouragement of unscheduled breaks. Younger participants perceived office destinations as being closer to their desk. Younger and female participants perceived more positive office social environments; there were no other socio-demographic differences. Within the sub-sample with accelerometer data, perceived discouragement of breaks by management was related to occupational step count/hour (B = -64.5; 95% CI -109.7 to -19.2). No other environmental perceptions were related to activity or sitting. CONCLUSIONS Perceived managerial discouragement of breaks could be related to meaningful decreases in occupational step count. Future research should aim to elucidate the role of the workplace socio-cultural environment in occupational walking, with a focus on the role of management.
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Affiliation(s)
- A Sawyer
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, Gower Street, London WC1E 6BT, UK
| | - L Smith
- The Cambridge Centre for Sport and Exercise Sciences, Department of Life Sciences, Anglia Ruskin University, East Road, Cambridge CB1 1PT, UK
| | - M Ucci
- UCL Institute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, Central House, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK
| | - R Jones
- Glasgow Centre for Population Health, Third Floor, Olympia Building, Bridgeton Cross, Glasgow G40 2QH, UK
| | - A Marmot
- UCL Bartlett Faculty of the Built Environment, 132 Hampstead Road, University College London, London NW1 2PS, UK
| | - A Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, Gower Street, London WC1E 6BT, UK
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Pfister T, Matthews CE, Wang Q, Kopciuk KA, Courneya K, Friedenreich C. Comparison of two accelerometers for measuring physical activity and sedentary behaviour. BMJ Open Sport Exerc Med 2017; 3:e000227. [PMID: 28761711 PMCID: PMC5530107 DOI: 10.1136/bmjsem-2017-000227] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2017] [Indexed: 12/22/2022] Open
Abstract
PURPOSE A central aspect of physical activity and sedentary behaviour research is accurate exposure assessment in the context of disease outcomes. The primary objectives of this study were to evaluate the convergent validity and test-retest reliability of the ActiGraph GT3X+ and activPAL3 accelerometers. METHODS Participants from the Breast Cancer and Exercise Trial in Alberta (n=266) wore both devices concurrently during waking hours for 7 days. Summary measures of time (hours/day) for physical activity and sedentary behaviour were compared between devices using Student's t-tests. Bland-Altman plots were used to assess or evaluate the mean differences and limits of agreement between monitors, and intraclass correlation coefficients (ICCs) were used to assess the test-retest reliability of two 7-day activity monitor administrations separated by 2 weeks (n=29). RESULTS When comparing the ActiGraph Vector Magnitude (VM), which incorporates all three axes of movement (x, y, z), and the Vertical Axis (VT), which detects movement on the vertical or y-axis only, with the activPAL3, all measures of physical activity were statistically significantly different. The difference in measured time in sedentary behaviour was not statistically significant different when comparing the activPAL3 and ActiGraph (VT) estimates (p=0.47) but was statistically significant different for activPAL3 compared with ActiGraph (VM) (p<0.001). ICCs were high and consistent for each method across all behaviours, ranging from 0.87 to 0.93, with the exception of moderate activity and moderate-to-vigorous activity by the ActiGraph (VT) at 0.66 and 0.67, respectively. CONCLUSION Despite small mean differences and comparable recordings by both devices at the group level, the precision of estimates between methods was low with wide limits of agreement, suggesting these devices may not be used interchangeably for measuring physical activity and sedentary behaviour using common data reduction methods.
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Affiliation(s)
- Ted Pfister
- Health Technology Assessment and Adoption, Research Innovation and Analytics Portfolio, Alberta Health Services, Calgary, Alberta, Canada
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Qinggang Wang
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Karen A Kopciuk
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Kerry Courneya
- Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Christine Friedenreich
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
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Nguyen CB, Alsøe L, Lindvall JM, Sulheim D, Fagermoen E, Winger A, Kaarbø M, Nilsen H, Wyller VB. Whole blood gene expression in adolescent chronic fatigue syndrome: an exploratory cross-sectional study suggesting altered B cell differentiation and survival. J Transl Med 2017; 15:102. [PMID: 28494812 PMCID: PMC5426002 DOI: 10.1186/s12967-017-1201-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 05/02/2017] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Chronic fatigue syndrome (CFS) is a prevalent and disabling condition affecting adolescents. The pathophysiology is poorly understood, but immune alterations might be an important component. This study compared whole blood gene expression in adolescent CFS patients and healthy controls, and explored associations between gene expression and neuroendocrine markers, immune markers and clinical markers within the CFS group. METHODS CFS patients (12-18 years old) were recruited nation-wide to a single referral center as part of the NorCAPITAL project. A broad case definition of CFS was applied, requiring 3 months of unexplained, disabling chronic/relapsing fatigue of new onset, whereas no accompanying symptoms were necessary. Healthy controls having comparable distribution of gender and age were recruited from local schools. Whole blood samples were subjected to RNA sequencing. Immune markers were blood leukocyte counts, plasma cytokines, serum C-reactive protein and immunoglobulins. Neuroendocrine markers encompassed plasma and urine levels of catecholamines and cortisol, as well as heart rate variability indices. Clinical markers consisted of questionnaire scores for symptoms of post-exertional malaise, inflammation, fatigue, depression and trait anxiety, as well as activity recordings. RESULTS A total of 29 CFS patients and 18 healthy controls were included. We identified 176 genes as differentially expressed in patients compared to controls, adjusting for age and gender factors. Gene set enrichment analyses suggested impairment of B cell differentiation and survival, as well as enhancement of innate antiviral responses and inflammation in the CFS group. A pattern of co-expression could be identified, and this pattern, as well as single gene transcripts, was significantly associated with indices of autonomic nervous activity, plasma cortisol, and blood monocyte and eosinophil counts. Also, an association with symptoms of post-exertional malaise was demonstrated. CONCLUSION Adolescent CFS is characterized by differential gene expression pattern in whole blood suggestive of impaired B cell differentiation and survival, and enhanced innate antiviral responses and inflammation. This expression pattern is associated with neuroendocrine markers of altered HPA axis and autonomic nervous activity, and with symptoms of post-exertional malaise. Trial registration Clinical Trials NCT01040429.
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Affiliation(s)
- Chinh Bkrong Nguyen
- Department of Paediatrics and Adolescent Health, Akershus University Hospital, 1478 Lørenskog, Norway
- Division of Medicine and Laboratory Sciences, Medical Faculty, University of Oslo, Oslo, Norway
| | - Lene Alsøe
- Institute of Clinical Medicine, Department of Clinical Molecular Biology, University of Oslo, and Akershus University Hospital, Lørenskog, Norway
| | - Jessica M. Lindvall
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Dag Sulheim
- Department of Paediatrics, Lillehammer County Hospital, Lillehammer, Norway
| | - Even Fagermoen
- Department of Anesthesiology and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Anette Winger
- Institute of Nursing Sciences, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Mari Kaarbø
- Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Hilde Nilsen
- Institute of Clinical Medicine, Department of Clinical Molecular Biology, University of Oslo, and Akershus University Hospital, Lørenskog, Norway
| | - Vegard Bruun Wyller
- Department of Paediatrics and Adolescent Health, Akershus University Hospital, 1478 Lørenskog, Norway
- Division of Medicine and Laboratory Sciences, Medical Faculty, University of Oslo, Oslo, Norway
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White I, Smith L, Aggio D, Shankar S, Begum S, Matei R, Fox KR, Hamer M, Iliffe S, Jefferis BJ, Tyler N, Gardner B. On Your Feet to Earn Your Seat: pilot RCT of a theory-based sedentary behaviour reduction intervention for older adults. Pilot Feasibility Stud 2017; 3:23. [PMID: 28491459 PMCID: PMC5421328 DOI: 10.1186/s40814-017-0139-6] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 04/14/2017] [Indexed: 11/10/2022] Open
Abstract
Background Of all age groups, older adults spend most of the time sitting and are least physically active. This sequential, mixed-methods feasibility study used a randomised controlled trial design to assess methods for trialling a habit-based intervention to displace older adults’ sedentary behaviour with light activity and explore impact on behavioural outcomes. Methods Eligibility criteria were age 60–74 years, retired, and ≥6 h/day leisure sitting. Data were collected across four sites in England. The intervention comprised a booklet outlining 15 ‘tips’ for disrupting sedentary habits and integrating activity habits into normally inactive settings, and eight weekly self-monitoring sheets. The control was a non-habit-based factsheet promoting activity and sedentary reduction. A computer-generated 1:1 block-randomisation schedule was used, with participants blinded to allocation. Participants self-reported sedentary behaviour (two indices), sedentary habit, physical activity (walking, moderate, vigorous activity) and activity habit, at pre-treatment baseline, 8- and 12-week follow-ups and were interviewed at 12 weeks. Primary feasibility outcomes were attrition, adverse events and intervention adherence. The secondary outcome was behavioural change. Results Of 104 participants consented, 103 were randomised (intervention N = 52, control N = 51). Of 98 receiving allocated treatment, 91 (93%; intervention N = 45; control N = 46) completed the trial. One related adverse event was reported in the intervention group. Mean per-tip adherence across 7 weeks was ≥50% for 9/15 tips. Qualitative data suggested acceptability of procedures, and, particularly among intervention recipients, the allocated treatment. Both groups appeared to reduce sedentary behaviour and increase their physical activity, but there were no apparent differences between groups in the extent of change. Conclusions Trial methods were acceptable and feasible, but the intervention conferred no apparent advantage over control, though it was not trialled among the most sedentary and inactive population for whom it was developed. Further development of the intervention may be necessary prior to a large-scale definitive trial. One possible refinement would combine elements of the intervention with an informational approach to enhance effectiveness. Trial registration ISRCTN47901994 (registration date: 16th January 2014; trial end date 30th April 2015) Electronic supplementary material The online version of this article (doi:10.1186/s40814-017-0139-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Isabelle White
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, London, UK
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Department of Life Sciences, Anglia Ruskin University, Cambridge, UK
| | - Daniel Aggio
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Sahana Shankar
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF UK
| | - Saima Begum
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF UK
| | - Raluca Matei
- Centre for Music Performance Research, Royal Northern College of Music, Manchester, UK
| | - Kenneth R Fox
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Mark Hamer
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, UK
| | - Steve Iliffe
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Barbara J Jefferis
- Research Department of Primary Care and Population Health, University College London, London, UK.,Population Health Domain Physical Activity Research Group, Department of Epidemiology and Public Health, University College London, London, UK
| | - Nick Tyler
- UCL Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK
| | - Benjamin Gardner
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF UK
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Pollak MH, Hart JR. Physical Activity Increases after an Affectively Arousing Daily Life Event. Front Psychol 2017; 8:518. [PMID: 28458642 PMCID: PMC5394590 DOI: 10.3389/fpsyg.2017.00518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/21/2017] [Indexed: 11/25/2022] Open
Abstract
Evidence that structured physical activity can help to regulate affective state has spurred interest in identifying associations between unstructured physical activity and affective states during daily life. The present study examined whether stressful daily life situations that elicit affective arousal also elicit increased physical activity in the form of restless movement. The study compared the physical activity of professors (n = 25) after presenting a classroom lecture to their physical activity at the same time of day on a non-lecture workday. The expectation was that lecturing would increase affective arousal, leading to greater restless movement following the lecture compared to the non-lecture control day. The study assessed subjective arousal to confirm that arousal was higher during the lecture. The primary outcome measures were actigraphy-measured standing and stepping times and number of steps and posture transitions. Results indicate that energetic and tense arousal were higher during the lecture than during the control period. Mean (±SE) up time (standing and stepping) for the 1st minute of the 20 minute post-lecture period was double that of the last minute (32.8 ± 5.73 s to 16.5 ± 5.41 s), while it remained low throughout the comparison period on the control day (p = 0.01). Subjects also took more steps (p = 0.006) and engaged in more transitions between sitting and standing (p = 0.02) after the lecture than after the control period. These results support the conclusion that stressful daily life situations that elicit affective arousal also elicit increased physical activity in the form of restless movement and suggest that affective responses to stressful situations may be important determinants of physical activity during daily life.
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Affiliation(s)
- Michael H Pollak
- Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, TulsaOK, USA
| | - J Ryan Hart
- Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, TulsaOK, USA
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265
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Pre-existing low-back symptoms impact adversely on sitting time reduction in office workers. Int Arch Occup Environ Health 2017; 90:609-618. [DOI: 10.1007/s00420-017-1223-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 04/11/2017] [Indexed: 12/28/2022]
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Coulter EH, Miller L, McCorkell S, McGuire C, Algie K, Freeman J, Weller B, Mattison PG, McConnachie A, Wu O, Paul L. Validity of the activPAL3 activity monitor in people moderately affected by Multiple Sclerosis. Med Eng Phys 2017; 45:78-82. [PMID: 28408158 DOI: 10.1016/j.medengphy.2017.03.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 03/03/2017] [Accepted: 03/26/2017] [Indexed: 10/19/2022]
Abstract
Walking is the primary form of physical activity performed by people with Multiple Sclerosis (MS), therefore it is important to ensure the validity of tools employed to measure walking activity. The aim of this study was to assess the criterion validity of the activPAL3 activity monitor during overground walking in people with MS. Validity of the activPAL3 accelerometer was compared to video observation in 20 people moderately affected by MS. Participants walked 20-30m twice along a straight quiet corridor at a comfortable speed. Inter-rater reliability of video observations was excellent (all intraclass correlations >0.99). The mean difference (activPAL3- mean of raters) was -4.70±9.09, -4.55s±10.76 and 1.11s±1.11 for steps taken, walking duration and upright duration respectively. These differences represented 8.7%, 10.0% and 1.8% of the mean for each measure respectively. The activPAL3 tended to underestimate steps taken and walking duration in those who walked at cadences of ≤38 steps/min by 60% and 47%, respectively. The activPAL3 is valid for measuring walking activity in people moderately affected by MS. It is accurate for upright duration regardless of cadence. In participants with slow walking cadences, outcomes of steps taken and walking duration should be interpreted with caution.
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Affiliation(s)
- E H Coulter
- School of Medicine, Dentistry and Nursing, Oakfield Avenue, University of Glasgow, Glasgow G12 8LL, UK ; School of Health Sciences, Queen Margaret University, Queen Margaret Drive, Musselburgh, Edinburgh EH21 6UU, UK .
| | - L Miller
- Multiple Sclerosis Service, NHS Ayrshire and Arran, Kilwinning Road, Irvine KA12 6SS, UK; School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
| | - S McCorkell
- Multiple Sclerosis Service, NHS Ayrshire and Arran, Kilwinning Road, Irvine KA12 6SS, UK.
| | - C McGuire
- Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, NHS Lothian, Edinburgh EH16 4SB, UK.
| | - K Algie
- School of Health Professions, University of Plymouth, Derriford Road, Plymouth PL6 8BH, UK.
| | - J Freeman
- School of Health Professions, University of Plymouth, Derriford Road, Plymouth PL6 8BH, UK.
| | - B Weller
- Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, NHS Lothian, Edinburgh EH16 4SB, UK.
| | - P G Mattison
- Multiple Sclerosis Service, NHS Ayrshire and Arran, Kilwinning Road, Irvine KA12 6SS, UK.
| | - A McConnachie
- Robertson Centre for Biostatistics, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.
| | - O Wu
- Institute of Health and Wellbeing, University of Glasgow, Lilybank Gardens, Glasgow G12 8RZ, UK.
| | - L Paul
- School of Medicine, Dentistry and Nursing, Oakfield Avenue, University of Glasgow, Glasgow G12 8LL, UK .
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Mitchell T, Borner K, Finch J, Kerr J, Carlson JA. Using Activity Monitors to Measure Sit-to-Stand Transitions in Overweight/Obese Youth. Med Sci Sports Exerc 2017; 49:1592-1598. [PMID: 28288011 DOI: 10.1249/mss.0000000000001266] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
INTRODUCTION Reducing sedentary behavior has emerged as an important health intervention strategy. Although hip-worn, and more recently wrist-worn, accelerometers are commonly used for measuring physical activity and sedentary behavior, they may not provide accurate measures of postural changes. The current study examined the validity of commonly used hip- and wrist-worn accelerometer cut points and the thigh-worn activPAL activity monitor for measuring sit-to-stand transitions as compared with direct observation in youth with overweight and obesity. METHODS Nine children wore three activity monitors while being directly observed. The monitors included a hip- and wrist-worn ActiGraph and thigh-worn activPAL. The hip-worn ActiGraph was processed with the normal- and low-frequency filters and the inclinometer function. Cut points of ≤25 counts per 15-s epoch for the hip and ≤105 counts per 15-s epoch for the wrist were applied to the vertical axis to identify sit-to-stand transitions. Epoch-level absolute agreement, Bland-Altman plots, mixed-effects linear regression, and intraclass correlation coefficients (ICC) were investigated. RESULTS The hip and wrist accelerometer cut points and the hip inclinometer function overestimated the number of hourly sit-to-stand transitions by approximately triple as compared with direct observation. ICC values between the ActiGraph methods and the direct observation were all <0.12. Sit-to-stand transitions assessed from activPAL were within 17% of direct observation; ICC was 0.26. CONCLUSION Despite the common use of the 100-count hip-worn accelerometer cut point for assessing sedentary time, these processing decisions should be used with caution for assessing sit-to-stand transitions. Future research should investigate other processing methods for ActiGraph data, and studies investigating postural changes should consider including devices such as activPAL.
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Affiliation(s)
- Tarrah Mitchell
- 1University of Kansas, Lawrence, KS; 2Children's Mercy Hospital, Kansas City, MO; 3University of California San Diego, La Jolla, CA; and 4University of Missouri Kansas City, Kansas City, MO
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A Physical Activity Reference Data-Set Recorded from Older Adults Using Body-Worn Inertial Sensors and Video Technology-The ADAPT Study Data-Set. SENSORS 2017; 17:s17030559. [PMID: 28287449 PMCID: PMC5375845 DOI: 10.3390/s17030559] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 02/24/2017] [Accepted: 03/08/2017] [Indexed: 01/23/2023]
Abstract
Physical activity monitoring algorithms are often developed using conditions that do not represent real-life activities, not developed using the target population, or not labelled to a high enough resolution to capture the true detail of human movement. We have designed a semi-structured supervised laboratory-based activity protocol and an unsupervised free-living activity protocol and recorded 20 older adults performing both protocols while wearing up to 12 body-worn sensors. Subjects’ movements were recorded using synchronised cameras (≥25 fps), both deployed in a laboratory environment to capture the in-lab portion of the protocol and a body-worn camera for out-of-lab activities. Video labelling of the subjects’ movements was performed by five raters using 11 different category labels. The overall level of agreement was high (percentage of agreement >90.05%, and Cohen’s Kappa, corrected kappa, Krippendorff’s alpha and Fleiss’ kappa >0.86). A total of 43.92 h of activities were recorded, including 9.52 h of in-lab and 34.41 h of out-of-lab activities. A total of 88.37% and 152.01% of planned transitions were recorded during the in-lab and out-of-lab scenarios, respectively. This study has produced the most detailed dataset to date of inertial sensor data, synchronised with high frame-rate (≥25 fps) video labelled data recorded in a free-living environment from older adults living independently. This dataset is suitable for validation of existing activity classification systems and development of new activity classification algorithms.
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269
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Assessment of physical function and participation in chronic pain clinical trials: IMMPACT/OMERACT recommendations. Pain 2017; 157:1836-1850. [PMID: 27058676 DOI: 10.1097/j.pain.0000000000000577] [Citation(s) in RCA: 141] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Although pain reduction is commonly the primary outcome in chronic pain clinical trials, physical functioning is also important. A challenge in designing chronic pain trials to determine efficacy and effectiveness of therapies is obtaining appropriate information about the impact of an intervention on physical function. The Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) and Outcome Measures in Rheumatology (OMERACT) convened a meeting to consider assessment of physical functioning and participation in research on chronic pain. The primary purpose of this article is to synthesize evidence on the scope of physical functioning to inform work on refining physical function outcome measurement. We address issues in assessing this broad construct and provide examples of frequently used measures of relevant concepts. Investigators can assess physical functioning using patient-reported outcome (PRO), performance-based, and objective measures of activity. This article aims to provide support for the use of these measures, covering broad aspects of functioning, including work participation, social participation, and caregiver burden, which researchers should consider when designing chronic pain clinical trials. Investigators should consider the inclusion of both PROs and performance-based measures as they provide different but also important complementary information. The development and use of reliable and valid PROs and performance-based measures of physical functioning may expedite development of treatments, and standardization of these measures has the potential to facilitate comparison across studies. We provide recommendations regarding important domains to stimulate research to develop tools that are more robust, address consistency and standardization, and engage patients early in tool development.
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270
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Dempsey PC, Blankenship JM, Larsen RN, Sacre JW, Sethi P, Straznicky NE, Cohen ND, Cerin E, Lambert GW, Owen N, Kingwell BA, Dunstan DW. Interrupting prolonged sitting in type 2 diabetes: nocturnal persistence of improved glycaemic control. Diabetologia 2017; 60:499-507. [PMID: 27942799 DOI: 10.1007/s00125-016-4169-z] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 11/04/2016] [Indexed: 02/02/2023]
Abstract
AIMS/HYPOTHESIS We aimed to examine the effect of interrupting 7 h prolonged sitting with brief bouts of walking or resistance activities on 22 h glucose homeostasis (including nocturnal-to-following morning hyperglycaemia) in adults with type 2 diabetes. METHODS This study is an extension of a previously published randomised crossover trial, which included 24 inactive overweight/obese adults with type 2 diabetes (14 men; 62 ± 6 years) who completed three 7 h laboratory conditions, separated by 6-14 day washout periods: SIT: (1) prolonged sitting (control); (2) light-intensity walking (LW): sitting plus 3 min bouts of light-intensity walking at 3.2 km/h every 30 min; (3) simple resistance activities (SRA): sitting plus 3 min bouts of simple resistance activities (alternating half-squats, calf raises, brief gluteal contractions and knee raises) every 30 min. In the present study, continuous glucose monitoring was performed for 22 h, encompassing the 7 h laboratory trial, the evening free-living period after leaving the laboratory and sleeping periods. Meals and meal times were standardised across conditions for all participants. RESULTS Compared with SIT, both LW and SRA reduced 22 h glucose [SIT: 11.6 ± 0.3 mmol/l, LW: 8.9 ± 0.3 mmol/l, SRA: 8.7 ± 0.3 mmol/l; p < 0.001] and nocturnal mean glucose concentrations [SIT: 10.6 ± 0.4 mmol/l, LW: 8.1 ± 0.4 mmol/l, SRA: 8.3 ± 0.4 mmol/l; p < 0.001]. Furthermore, mean glucose concentrations were sustained nocturnally at a lower level until the morning following the intervention for both LW and SRA (waking glucose both -2.7 ± 0.4 mmol/l compared with SIT; p < 0.001). CONCLUSIONS/INTERPRETATION Interrupting 7 h prolonged sitting time with either LW or SRA reduced 22 h hyperglycaemia. The glycaemic improvements persisted after these laboratory conditions and nocturnally, until waking the following morning. These findings may have implications for adults with relatively well-controlled type 2 diabetes who engage in prolonged periods of sitting, for example, highly desk-bound workers. TRIAL REGISTRATION anzctr.org.au ACTRN12613000576729 FUNDING: : This research was supported by a National Health and Medical Research Council (NHMRC) project grant (no. 1081734) and the Victorian Government Operational Infrastructure Support scheme.
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Affiliation(s)
- Paddy C Dempsey
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC, Australia.
| | | | - Robyn N Larsen
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Julian W Sacre
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Parneet Sethi
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Nora E Straznicky
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Neale D Cohen
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Ester Cerin
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Institute for Health and Ageing, Australian Catholic University, Melbourne, VIC, Australia
| | - Gavin W Lambert
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Neville Owen
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Health Sciences, Swinburne University of Technology, Melbourne, VIC, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Bronwyn A Kingwell
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - David W Dunstan
- Baker IDI Heart and Diabetes Institute, Level 4, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Institute of Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia
- Mary MacKillop Institute of Health Research, Australian Catholic University, Melbourne, VIC, Australia
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- School of Sport Science, Exercise and Health, The University of Western Australia, Perth, WA, Australia
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Alberto FP, Nathanael M, Mathew B, Ainsworth BE. Wearable monitors criterion validity for energy expenditure in sedentary and light activities. JOURNAL OF SPORT AND HEALTH SCIENCE 2017; 6:103-110. [PMID: 30356569 PMCID: PMC6188929 DOI: 10.1016/j.jshs.2016.10.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 04/08/2016] [Accepted: 07/05/2016] [Indexed: 06/08/2023]
Abstract
BACKGROUND Wearable monitors (WMs) are used to estimate the time spent in sedentary behaviors (SBs) and light-intensity physical activities (LPAs) and their associated energy cost; however, the accuracy of WMs in measuring behaviors on the lower end of the intensity spectrum is unclear. The aim of this study was to assess the validity of 3 WMs (ActiGraph GT3X+; activPAL, and SenseWear 2) in estimating the intensity of SB and LPA in adults as compared with the criterion measure of oxygen uptake (VO2) measured by indirect calorimetry. METHODS Sixteen participants (age: 25.38 ± 8.58 years) wore the ActiGraph GT3X+, activPAL, and SenseWear 2 devices during 7 sedentary-to-light activities. VO2 (mL/kg/min) was estimated by means of a portable gas analyzer, Oxycon Mobile (Carefusion, Yorba Linda, CA, USA). All data were transformed into metabolic equivalents and analyzed using mean percentage error, equivalence plots, Bland-Altman plots, kappa statistics, and sensitivity/specificity. RESULTS Mean percentage error was lowest for the activPAL for SB (14.9%) and LPA (9.3%) compared with other WMs, which were >21.2%. None of the WMs fell within the equivalency range of ±10% of the criterion mean value. Bland-Altman plots revealed narrower levels of agreement with all WMs for SB than for LPA. Kappa statistics were low for all WMs, and sensitivity and specificity varied by WM type. CONCLUSION None of the WMs tested in this study were equivalent with the criterion measure (VO2) in estimating sedentary-to-light activities; however, the activPAL had greater overall accuracy in measuring SB and LPA than did the ActiGraph and SenseWear 2 monitors.
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Affiliation(s)
- Florez-Pregonero Alberto
- Departamento de Formación, Facultad de Educación, Pontificia Universidad Javeriana, Bogota, Distrito Capital 11001000, Colombia
| | - Meckes Nathanael
- Department of Exercise and Sport Science, School of Behavioral and Applied Sciences, Azuza Pacific University, Azuza, CA 91702, USA
| | - Buman Mathew
- School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ 85004, USA
| | - Barbara E. Ainsworth
- School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ 85004, USA
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272
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Cardon-Thomas DK, Riviere T, Tieges Z, Greig CA. Dietary Protein in Older Adults: Adequate Daily Intake but Potential for Improved Distribution. Nutrients 2017; 9:E184. [PMID: 28241469 PMCID: PMC5372847 DOI: 10.3390/nu9030184] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 01/18/2017] [Accepted: 02/20/2017] [Indexed: 11/17/2022] Open
Abstract
Daily distribution of dietary protein may be important in protecting against sarcopenia, specifically in terms of per meal amounts relative to a proposed threshold for maximal response. The aims of this study were to determine total and per meal protein intake in older adults, as well as identifying associations with physical activity and sedentary behavior. Three-day food diaries recorded protein intake in 38 participants. Protein distribution, coefficient of variation (CV), and per meal amounts were calculated. Accelerometry was used to collect physical activity data as well as volume and patterns of sedentary time. Average intake was 1.14 g·kg-1·day-1. Distribution was uneven (CV = 0.67), and 79% of participants reported <0.4 g·kg-1 protein content in at least 2/3 daily meals. Protein intake was significantly correlated with step count (r = 0.439, p = 0.007) and negatively correlated with sedentary time (r = -0.456, p = 0.005) and Gini index G, which describes the pattern of accumulation of sedentary time (r = -0.421, p = 0.011). Total daily protein intake was sufficient; however, distribution did not align with the current literature; increasing protein intake may help to facilitate optimization of distribution. Associations between protein and other risk factors for sarcopenia may also inform protective strategies.
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Affiliation(s)
- Danielle K Cardon-Thomas
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK.
- MRC Arthritis Research UK Centre for Musculoskeletal Ageing Research, Birmingham B15 2TT, UK.
| | - Timothy Riviere
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK.
| | - Zoë Tieges
- Geriatric Medicine, University of Edinburgh, Edinburgh EH16 4SA, UK.
| | - Carolyn A Greig
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK.
- MRC Arthritis Research UK Centre for Musculoskeletal Ageing Research, Birmingham B15 2TT, UK.
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273
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Bruder AM, McClelland JA, Shields N, Dodd KJ, Hau R, van de Water ATM, Taylor NF. Validity and reliability of an activity monitor to quantify arm movements and activity in adults following distal radius fracture. Disabil Rehabil 2017. [PMID: 28637143 DOI: 10.1080/09638288.2017.1288764] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE To examine the validity and reliability of an activity monitor to estimate upper limb activity. METHODS Thirty-two adults after distal radial fracture were recruited. 15 adults performed five upper limb activities during two testing sessions, one week apart to investigate criterion validity against the criterion reference of three-dimensional motion analysis, convergent validity, and test-retest reliability. 17 adults in two therapy groups wore monitors for three consecutive days at baseline and six weeks post-intervention. Hypothesis testing (noninferiority) assessed comparison of group differences. RESULTS There were large, significant positive correlations between monitor counts and motion analysis for affected/unaffected wrists during the grocery shelving [r = 0.82, r = 0.73, respectively] and floor sweeping activities [r = 0.54, r = 0.59, respectively]. Large confidence intervals relative to means suggests the monitor could not accurately predict motion analysis distance or acceleration. Relative reliability was excellent in affected/unaffected wrists for crank ergometer [ICC(2,1) = 0.91, ICC(2,1) = 0.88, respectively], grocery shelving [ICC(2,1) = 0.83, ICC(2,1) = 0.89, respectively], and table dusting activities [ICC(2,1) = 0.77, ICC(2,1) = 0.83, respectively]. Correlations and reliability for typing were poor; hypothesis testing of group equivalence was not confirmed. CONCLUSIONS There is preliminary evidence that an activity monitor is a valid and reliable tool to measure gross arm activity after distal radial fracture. Implications for Rehabilitation Distal radius fractures are one of the most common upper limb fractures that cause activity limitations and participation restrictions. After a distal radius fracture patients are often referred to therapy (physiotherapy, occupational therapy, hand therapy) for rehabilitation to return to pre-injury function and activity levels. Activity monitors may be a valid and reliable measurement tool that therapists can use with their patients to quantify gross arm activity to enable monitoring of injury recovery and rehabilitation adherence. Activity monitors may not be sufficiently reliable and valid to monitor fine movements of the wrist and hand after distal radius fracture.
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Affiliation(s)
- Andrea M Bruder
- a School of Allied Health, La Trobe University , Melbourne , Australia
| | | | - Nora Shields
- a School of Allied Health, La Trobe University , Melbourne , Australia.,b Department of Allied Health , Northern Health , Melbourne , Australia
| | - Karen J Dodd
- c College of Science, Health and Engineering, La Trobe University , Melbourne , Australia
| | - Raphael Hau
- d Northern Clinical School, Melbourne Medical School , Melbourne , Australia
| | - Alexander T M van de Water
- a School of Allied Health, La Trobe University , Melbourne , Australia.,e Physiotherapy Department , Saxion University of Applied Science , Enschede , Netherlands
| | - Nicholas F Taylor
- a School of Allied Health, La Trobe University , Melbourne , Australia.,f Allied Health Clinical Research Office, Eastern Health , Melbourne , Australia
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274
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Plasqui G. Smart approaches for assessing free-living energy expenditure following identification of types of physical activity. Obes Rev 2017; 18 Suppl 1:50-55. [PMID: 28164455 DOI: 10.1111/obr.12506] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 12/01/2016] [Indexed: 01/24/2023]
Abstract
Accurate assessment of physical activity and energy expenditure has been a research focus for many decades. A variety of wearable sensors have been developed to objectively capture physical activity patterns in daily life. These sensors have evolved from simple pedometers to tri-axial accelerometers, and multi sensor devices measuring different physiological constructs. The current review focuses on how activity recognition may help to improve daily life energy expenditure assessment. A brief overview is given about how different sensors have evolved over time to pave the way for recognition of different activity types. Once the activity is recognized together with the intensity of the activity, an energetic value can be attributed. This concept can then be tested in daily life using the independent reference technique doubly labeled water. So far, many studies have been performed to accurately identify activity types, and some of those studies have also successfully translated this into energy expenditure estimates. Most of these studies have been performed under standardized conditions, and the true applicability in daily life has rarely been addressed. The results so far however are highly promising, and technological advancements together with newly developed algorithms based on physiological constructs will further expand this field of research.
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Affiliation(s)
- G Plasqui
- Department of Human Biology and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, Maastricht, The Netherlands
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275
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Time spent in sedentary posture is associated with waist circumference and cardiovascular risk. Int J Obes (Lond) 2017; 41:689-696. [PMID: 28138134 DOI: 10.1038/ijo.2017.30] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 01/14/2017] [Accepted: 01/22/2017] [Indexed: 01/15/2023]
Abstract
BACKGROUND The relationship between metabolic risk and time spent sitting, standing and stepping has not been well established. The present study aimed to determine associations of objectively measured time spent siting, standing and stepping, with coronary heart disease (CHD) risk. METHODS A cross-sectional study of healthy non-smoking Glasgow postal workers, n=111 (55 office workers, 5 women, and 56 walking/delivery workers, 10 women), who wore activPAL physical activity monitors for 7 days. Cardiovascular risks were assessed by metabolic syndrome categorisation and 10-year PROCAM (prospective cardiovascular Munster) risk. RESULTS Mean (s.d.) age was 40 (8) years, body mass index 26.9 (3.9) kg m-2 and waist circumference 95.4 (11.9) cm. Mean (s.d.) high-density lipoprotein cholesterol (HDL cholesterol) 1.33 (0.31), low-density lipoprotein cholesterol 3.11 (0.87), triglycerides 1.23 (0.64) mmol l-1 and 10-year PROCAM risk 1.8 (1.7)%. The participants spent mean (s.d.) 9.1 (1.8) h per day sedentary, 7.6 (1.2) h per day sleeping, 3.9 (1.1) h per day standing and 3.3 (0.9) h per day stepping, accumulating 14 708 (4984) steps per day in 61 (25) sit-to-stand transitions per day. In univariate regressions-adjusting for age, sex, family history of CHD, shift worked, job type and socioeconomic status-waist circumference (P=0.005), fasting triglycerides (P=0.002), HDL cholesterol (P=0.001) and PROCAM risk (P=0.047) were detrimentally associated with sedentary time. These associations remained significant after further adjustment for sleep, standing and stepping in stepwise regression models. However, after further adjustment for waist circumference, the associations were not significant. Compared with those without the metabolic syndrome, participants with the metabolic syndrome were significantly less active-fewer steps, shorter stepping duration and longer time sitting. Those with no metabolic syndrome features walked >15 000 steps per day or spent >7 h per day upright. CONCLUSIONS Longer time spent in sedentary posture is significantly associated with higher CHD risk and larger waist circumference.
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276
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Edwardson CL, Henson J, Bodicoat DH, Bakrania K, Khunti K, Davies MJ, Yates T. Associations of reallocating sitting time into standing or stepping with glucose, insulin and insulin sensitivity: a cross-sectional analysis of adults at risk of type 2 diabetes. BMJ Open 2017; 7:e014267. [PMID: 28087555 PMCID: PMC5253585 DOI: 10.1136/bmjopen-2016-014267] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
OBJECTIVE To quantify associations between sitting time and glucose, insulin and insulin sensitivity by considering reallocation of time into standing or stepping. DESIGN Cross-sectional. SETTING Leicestershire, UK, 2013. PARTICIPANTS Adults aged 30-75 years at high risk of impaired glucose regulation (IGR) or type 2 diabetes. 435 adults (age 66.8±7.4 years; 61.7% male; 89.2% white European) were included. METHODS Participants wore an activPAL3 monitor 24 hours/day for 7 days to capture time spent sitting, standing and stepping. Fasting and 2-hour postchallenge glucose and insulin were assessed; insulin sensitivity was calculated by Homeostasis Model Assessment of Insulin Secretion (HOMA-IS) and Matsuda-Insulin Sensitivity Index (Matsuda-ISI). Isotemporal substitution regression modelling was used to quantify associations of substituting 30 min of waking sitting time (accumulated in prolonged (≥30 min) or short (<30 min) bouts) for standing or stepping on glucose regulation and insulin sensitivity. Interaction terms were fitted to assess whether the associations with measures of glucose regulation and insulin sensitivity was modified by sex or IGR status. RESULTS After adjustment for confounders, including waist circumference, reallocation of prolonged sitting to short sitting time and to standing was associated with 4% lower fasting insulin and 4% higher HOMA-IS; reallocation of prolonged sitting to standing was also associated with a 5% higher Matsuda-ISI. Reallocation to stepping was associated with 5% lower 2-hour glucose, 7% lower fasting insulin, 13% lower 2-hour insulin and a 9% and 16% higher HOMA-IS and Matsuda-ISI, respectively. Reallocation of short sitting time to stepping was associated with 5% and 10% lower 2-hour glucose and 2-hour insulin and 12% higher Matsuda-ISI. Results were not modified by IGR status or sex. CONCLUSIONS Reallocating a small amount of short or prolonged sitting time with standing or stepping may improve 2-hour glucose, fasting and 2-hour insulin and insulin sensitivity. Findings should be confirmed through prospective and intervention research. TRIAL REGISTRATION NUMBER ISRCTN31392913, Post-results.
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Affiliation(s)
- Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
| | - Joe Henson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
| | - Danielle H Bodicoat
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
- NIHR Collaboration for Leadership in Applied Health Research and Care East Midlands, Leicester, UK
| | - Kishan Bakrania
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
- NIHR Collaboration for Leadership in Applied Health Research and Care East Midlands, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
- NIHR Collaboration for Leadership in Applied Health Research and Care East Midlands, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicester, UK
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, UK
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277
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Sasai H. Assessing sedentary behavior using wearable devices: An overview and future directions. THE JOURNAL OF PHYSICAL FITNESS AND SPORTS MEDICINE 2017. [DOI: 10.7600/jpfsm.6.135] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Hiroyuki Sasai
- Faculty of Medicine, University of Tsukuba
- Japan Society for the Promotion of Science
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278
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Wellburn S, Ryan CG, Azevedo LB, Ells L, Martin DJ, Atkinson G, Batterham AM. Displacing Sedentary Time: Association with Cardiovascular Disease Prevalence. Med Sci Sports Exerc 2016; 48:641-7. [PMID: 26559454 DOI: 10.1249/mss.0000000000000816] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Isotemporal substitution analysis offers new insights for public health but has only recently been applied to sedentary behavior research. We aimed to quantify associations between the substitution of 10 min of sedentary behavior with 10 min of light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) and the prevalence of cardiovascular disease (CVD). Age was also explored as a potential effect modifier. METHODS We completed a secondary analysis of data from 1477 adults from the Health Survey for England (2008). Sedentary time, LPA, and MVPA were measured using accelerometry. We applied isotemporal models to quantify the relationship with CVD prevalence of replacing 10 min of sedentary time with equivalent amounts of LPA or MVPA. Prevalence risk ratios (RR) with 95% confidence intervals (CI) are presented, adjusted for covariates. The role of age as an effect modifier was explored via age-MVPA and age-LPA interactions. CVD was defined as per the International Classification of Diseases. RESULTS The prevalence of CVD was 24%. The RR was 0.97 (95% CI, 0.96-0.99) for LPA and 0.88 (0.81-0.96) for MVPA. Substitution of approximately 50 min of LPA would be required for an association equivalent to 10 min of MVPA. The beneficial association of MVPA was attenuated with age, with a decrease in the relative risk reduction of approximately 7% per decade. CONCLUSIONS Isotemporal substitution of sedentary time with LPA was associated with a trivial relative risk reduction for CVD, whereas the equivalent replacement with MVPA had a small beneficial relationship. With respect to CVD prevalence, MVPA might become decreasingly important in older individuals. Prospective studies are needed to investigate causality.
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Affiliation(s)
- Shaun Wellburn
- Health and Social Care Institute, Teesside University, Middlesbrough, UNITED KINGDOM
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279
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Hickey A, Del Din S, Rochester L, Godfrey A. Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis. Physiol Meas 2016; 38:N1-N15. [PMID: 27941238 DOI: 10.1088/1361-6579/38/1/n1] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Research suggests wearables and not instrumented walkways are better suited to quantify gait outcomes in clinic and free-living environments, providing a more comprehensive overview of walking due to continuous monitoring. Numerous validation studies in controlled settings exist, but few have examined the validity of wearables and associated algorithms for identifying and quantifying step counts and walking bouts in uncontrolled (free-living) environments. Studies which have examined free-living step and bout count validity found limited agreement due to variations in walking speed, changing terrain or task. Here we present a gait segmentation algorithm to define free-living step count and walking bouts from an open-source, high-resolution, accelerometer-based wearable (AX3, Axivity). Ten healthy participants (20-33 years) wore two portable gait measurement systems; a wearable accelerometer on the lower-back and a wearable body-mounted camera (GoPro HERO) on the chest, for 1 h on two separate occasions (24 h apart) during free-living activities. Step count and walking bouts were derived for both measurement systems and compared. For all participants during a total of almost 20 h of uncontrolled and unscripted free-living activity data, excellent relative (rho ⩾ 0.941) and absolute (ICC(2,1) ⩾ 0.975) agreement with no presence of bias were identified for step count compared to the camera (gold standard reference). Walking bout identification showed excellent relative (rho ⩾ 0.909) and absolute agreement (ICC(2,1) ⩾ 0.941) but demonstrated significant bias. The algorithm employed for identifying and quantifying steps and bouts from a single wearable accelerometer worn on the lower-back has been demonstrated to be valid and could be used for pragmatic gait analysis in prolonged uncontrolled free-living environments.
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Affiliation(s)
- Aodhán Hickey
- Institute of Neuroscience, Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
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280
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CRESPO NOEC, MULLANE SARAHL, ZEIGLER ZACHARYS, BUMAN MATTHEWP, GAESSER GLENNA. Effects of Standing and Light-Intensity Walking and Cycling on 24-h Glucose. Med Sci Sports Exerc 2016; 48:2503-2511. [DOI: 10.1249/mss.0000000000001062] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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281
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Powell C, Carson BP, Dowd KP, Donnelly AE. Simultaneous validation of five activity monitors for use in adult populations. Scand J Med Sci Sports 2016; 27:1881-1892. [DOI: 10.1111/sms.12813] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2016] [Indexed: 11/29/2022]
Affiliation(s)
- C. Powell
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
| | - B. P. Carson
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
- Health Research Institute; University of Limerick; Limerick Ireland
| | - K. P. Dowd
- Department of Sport and Health; Faculty of Science; Athlone Institute of Technology; Athlone Westmeath Ireland
| | - A. E. Donnelly
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
- Health Research Institute; University of Limerick; Limerick Ireland
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282
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Gilmore S, McClelland JA, Davidson M. Does walking after lumbar spinal surgery predict recovery of function at six months? Protocol for a prospective cohort study. BMC Musculoskelet Disord 2016; 17:472. [PMID: 27842523 PMCID: PMC5109719 DOI: 10.1186/s12891-016-1296-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 10/13/2016] [Indexed: 02/06/2023] Open
Abstract
Background Physiotherapists are commonly involved in the management of patients immediately following lumbar spinal surgery. There is however, very little research to guide physiotherapy intervention in the acute post-operative period, and the advice provided to patients regarding post-operative walking and physical activity has been shown to be highly variable. The primary aim of this research is to establish whether the amount of walking patients perform in the week following lumbar spinal surgery predicts improvement in function at 6 months. Methods This study will be a prospective cohort study design, with a projected sample size of 250 participants. Patients undergoing surgery for the management of a disc prolapse, degenerative disc disease, lumbar spinal stenosis and/or degenerative spondylolysthesis will be invited to participate in this study. Outcome measurement will take place pre-operatively and at six months post-operatively. The primary outcome variable will be self-reported function, measured using the Modified Oswestry Disability Questionnaire and the physical component summary of the SF-36. Each participant will be fitted with an activPAL3 accelerometer to be worn for the first seven post-operative days. This accelerometer will record time spent in active versus sedentary postures, step count and time spent walking. Multivariable logistic regression analysis will be used to investigate the relationship between the total time spent walking over the first seven post-operative days, and outcome at six months. Discussion The results from this research will help to guide patient management during the inpatient phase, by identifying patients who are at risk of poorer outcome due to limited walking time. These patients may benefit from ongoing rehabilitation and outpatient physiotherapy services. This information will also provide a foundation for further research into interventions designed to optimise post-operative activity. Trial registration ACTRN12616000747426, retrospectively registered 7th June 2016.
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Affiliation(s)
- Sarah Gilmore
- St Vincent's Private Hospital, Melbourne, Australia. .,La Trobe University, Melbourne, Australia.
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283
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Rafferty D, Dolan C, Granat M. Attending a workplace: its contribution to volume and intensity of physical activity. Physiol Meas 2016; 37:2144-2153. [PMID: 27841164 DOI: 10.1088/0967-3334/37/12/2144] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Understanding the contribution that attending a workplace has in accumulating physical activity (PA) may help inform strategies used to increase PA. This study explores the influence that attending work has on the total number of steps taken and the time spent in moderate to vigorous activity (MVPA). A global position system (GPS) was used to identify the geographical domain of the participant. An activity monitor (activPAL, PALtechnologies Ltd, Glasgow, UK) was employed to measure the number of steps taken and the cadence of those steps. Both devices were worn for seven consectutive days and 5 work days extracted post data collection. The data from the two devices were synchronised allowing domain, volume and intensity of PA to be explored. The distance from the home domain to the workplace was used to establish if there was any relationship between commute distance and number of steps accumulated and time in MVPA. Twenty-six office workers (17F; mean age 38 (range 23-65)) were recruited. The number of steps taken per day on average for the group was 11 008 (SD ± 2999) with time spent in MVPA per day being 32.7 (SD ± 17.1) min. The commute accounted for 32% or 3550 (SD ±1664) of the steps taken and 68% or 22.0 (SD ±14.1) min of MVPA. No statistically significant correlations with distance from home to the workplace for either variable were found. This work explores the contribution that attending work makes to PA, combining data from a GPS system and an objective activity monitor. The commute to works accounts for more than two-thirds of the MVPA accumulated per day. This provides meaningful in sight into the volume and intensity of individuals' activity and also its context.
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Affiliation(s)
- Daniel Rafferty
- Institute for Applied Health Research, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 OBA, UK
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284
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Burton NW, Ademi Z, Best S, Fiatarone Singh MA, Jenkins JS, Lawson KD, Leicht AS, Mavros Y, Noble Y, Norman P, Norman R, Parmenter BJ, Pinchbeck J, Reid CM, Rowbotham SE, Yip L, Golledge J. Efficacy of brief behavioral counselling by allied health professionals to promote physical activity in people with peripheral arterial disease (BIPP): study protocol for a multi-center randomized controlled trial. BMC Public Health 2016; 16:1148. [PMID: 27829449 PMCID: PMC5103607 DOI: 10.1186/s12889-016-3801-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 11/01/2016] [Indexed: 01/24/2023] Open
Abstract
Background Physical activity is recommended for people with peripheral arterial disease (PAD), and can improve walking capacity and quality of life; and reduce pain, requirement for surgery and cardiovascular events. This trial will assess the efficacy of a brief behavioral counselling intervention delivered by allied health professionals to improve physical activity in people with PAD. Methods This is a multi-center randomised controlled trial in four cities across Australia. Participants (N = 200) will be recruited from specialist vascular clinics, general practitioners and research databases and randomised to either the control or intervention group. Both groups will receive usual medical care, a written PAD management information sheet including advice to walk, and four individualised contacts from a protocol-trained allied health professional over 3 months (weeks 1, 2, 6, 12). The control group will receive four 15-min telephone calls with general discussion about PAD symptoms and health and wellbeing. The intervention group will receive behavioral counselling via two 1-h face-to-face sessions and two 15-min telephone calls. The counselling is based on the 5A framework and will promote interval walking for 3 × 40 min/week. Assessments will be conducted at baseline, and 4, 12 and 24 months by staff blinded to participant allocation. Objectively assessed outcomes include physical activity (primary), sedentary behavior, lower limb body function, walking capacity, cardiorespiratory fitness, event-based claudication index, vascular interventions, clinical events, cardiovascular function, circulating markers, and anthropometric measures. Self-reported outcomes include physical activity and sedentary behavior, walking ability, pain severity, and health-related quality of life. Data will be analysed using an intention-to-treat approach. An economic evaluation will assess whether embedding the intervention into routine care would likely be value for money. A cost-effectiveness analysis will estimate change in cost per change in activity indicators due to the intervention, and a cost-utility analysis will assess change in cost per quality-adjusted life year. A full uncertainty analysis will be undertaken, including a value of information analysis, to evaluate the economic case for further research. Discussion This trial will evaluate the efficacy and cost-effectiveness of a brief behavioral counselling intervention for a common cardiovascular disease with significant burden. Trial registration ACTRN 12614000592640 Australian New Zealand Clinical Trials Registry. Registration Date 4 June 2014. Electronic supplementary material The online version of this article (doi:10.1186/s12889-016-3801-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nicola W Burton
- The University of Queensland School of Human Movement & Nutrition Sciences, St Lucia, Brisbane, QLD, 4072, Australia
| | - Zanfina Ademi
- University of Basel Institute of Pharmaceutical Medicine, Basel, Switzerland.,University of Monash Department of Epidemiology and Preventive Medicine, Melbourne, 3004, VIC, Australia
| | - Stuart Best
- Queensland Research Centre for Peripheral Vascular Disease; College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia
| | - Maria A Fiatarone Singh
- Exercise, Health and Performance Faculty Research Group, Faculty of Health Sciences, University of Sydney, Sydney, NSW, 2141, Australia
| | - Jason S Jenkins
- Vascular Surgery The Royal Brisbane and Women's Hospital, Herston, QLD, 4059, Australia
| | - Kenny D Lawson
- Centre for Health Research, School of Medicine, Western Sydney University, Sydney, NSW, 2753, Australia.,Centre for Research Excellence in Chronic Disease Prevention, Australian Institute for Public Health and Tropical Health and Medicine, James Cook University, Townsville, QLD, 4811, Australia
| | - Anthony S Leicht
- Sport and Exercise Science, College of Healthcare Sciences, James Cook University, Townsville, QLD, 4811, Australia
| | - Yorgi Mavros
- Exercise, Health and Performance Research Group, Faculty of Health Sciences, University of Sydney, Sydney, NSW, 2141, Australia
| | - Yian Noble
- Exercise, Health and Performance Research Group, Faculty of Health Sciences, University of Sydney, Sydney, NSW, 2141, Australia
| | - Paul Norman
- Surgery Fremantle Hospital, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Richard Norman
- School of Public Health, Curtin University, Perth, WA, 6845, Australia
| | - Belinda J Parmenter
- Department of Exercise Physiology, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Jenna Pinchbeck
- Queensland Research Centre for Peripheral Vascular Disease; College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia
| | - Christopher M Reid
- School of Public Health, Curtin University, Perth, WA, 6845, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Sophie E Rowbotham
- The University of Queensland School of Medicine, Herston, QLD, 4006, Australia.,The Royal Brisbane and Women's Hospital, Herston, QLD, 4029, Australia
| | - Lisan Yip
- Queensland Research Centre for Peripheral Vascular Disease; College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia
| | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease; College of Medicine and Dentistry, James Cook University, Townsville, QLD, 4811, Australia. .,Department of Vascular and Endovascular Surgery, The Townsville Hospital, Townsville, QLD, 4811, Australia.
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285
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Godfrey A, Morris R, Hickey A, Del Din S. Beyond the front end: Investigating a thigh worn accelerometer device for step count and bout detection in Parkinson's disease. Med Eng Phys 2016; 38:1524-1529. [PMID: 27780682 DOI: 10.1016/j.medengphy.2016.09.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 09/27/2016] [Accepted: 09/29/2016] [Indexed: 10/20/2022]
Abstract
Free-living ambulation with accelerometer-based devices is an attractive methodology to assess habitual behaviour within Parkinson's disease (PD). However, slowness of movement can contribute to difficulty in quantifying ambulatory/walking outcomes within this group by these devices. This study investigates the use of a commercial accelerometer device (activPAL™) in those with moderate PD to understand its proprietary software (inbuilt algorithm) limitations. The values provided by the proprietary software are evaluated in comparison to novel algorithms on the same raw data to examine limitations for use within this cohort. The bespoke algorithms help to alter sensitivity in outcomes stemming from the same accelerometer data while also highlighting how slight changes in algorithms can drastically inflate/deflate values. In general, results show that the proprietary software generally quantifies lower values of outcomes (step and bout count), which is similar to previous findings. Variations in algorithm functionality highlight large heterogeneity in bout and step counts resulting from a lack of how they are defined within the literature. The novel alternative ambulatory algorithms presented here should be considered for use on raw data from the activPAL™ in those with moderate/severe PD.
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Affiliation(s)
- A Godfrey
- Institute of Neuroscience/Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Newcastle University, United Kingdom.
| | - R Morris
- Institute of Neuroscience/Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Newcastle University, United Kingdom
| | - A Hickey
- Institute of Neuroscience/Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Newcastle University, United Kingdom
| | - S Del Din
- Institute of Neuroscience/Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Newcastle University, United Kingdom
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286
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Thomsen T, Aadahl M, Beyer N, Hetland ML, Løppenthin K, Midtgaard J, Christensen R, Esbensen BA. Motivational counselling and SMS-reminders for reduction of daily sitting time in patients with rheumatoid arthritis: a descriptive randomised controlled feasibility study. BMC Musculoskelet Disord 2016; 17:434. [PMID: 27756265 PMCID: PMC5070122 DOI: 10.1186/s12891-016-1266-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 09/24/2016] [Indexed: 12/12/2022] Open
Abstract
Background Patients with rheumatoid arthritis (RA) spend a high proportion of their waking time in sedentary behaviour (SB) and have an increased risk of cardiovascular disease. Reduction of SB and increase in light intensity physical activity has been suggested as a means of improvement of health in patients with mobility problems. Short-term intervention studies have demonstrated that SB can be reduced by behavioural interventions in sedentary populations. To evaluate descriptively the feasibility of recruitment, randomisation, outcome assessments, retention and the acceptability of an individually tailored, theory-based behavioural intervention targeting reduction in daily sitting time in patients with RA. Methods A randomised, controlled trial with two parallel groups. RA patients >18 years of age and Health Assessment Questionnaire (HAQ) score < 2.5 were consecutively invited and screened for daily leisure time sitting > 4 h. The 16-week intervention included 1) three individual motivational counselling sessions and 2) individual text message reminders aimed at reducing daily sitting time. The control group was encouraged to maintain their usual lifestyles. Outcomes were assessed at baseline and after the 16 week intervention. Daily sitting time was measured using an ActivPAL3TM activity monitor. The study was not powered to show superiority; rather the objective was to focus on acceptability among patients and clinical health professionals. Results In total, 107 patients were invited and screened before 20 met eligibility criteria and consented; reasons for declining study participation were mostly flares, lack of time and co-morbidities. One patient from the control group dropped out before end of intervention (due to a RA flare). Intervention participants completed all counselling sessions. All procedures regarding implementation of the trial protocol were feasible. The daily sitting time was reduced on average by 0.30 h in the intervention group unlike the control group that tended to increase it by 0.15 h after 16 weeks. Conclusions This study shows that an individually tailored behavioural intervention targeting reduction of SB was feasible and acceptable to patients with RA. Trial registration The Danish Data Protection Agency (ref.nb. 711-1-08 - 20 March 2011), the Ethics Committee of the Capital Region of Denmark (ref.nb. H-2-2012-112- 17 October 2012), clinicaltrials.gov (NCT01969604 - October 17 2013, retrospectively registered).
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Affiliation(s)
- T Thomsen
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark. .,The DANBIO registry, Center for Rheumatology and Spine Diseases, Centre for Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark.
| | - M Aadahl
- Research Centre for Prevention and Health, Rigshospitalet, The Capital Region of Denmark, Glostrup, Denmark.,Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - N Beyer
- Musculoskeletal Rehabilitation Research Unit, Bispebjerg and Frederiksberg Hospitals, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - M L Hetland
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,The DANBIO registry, Center for Rheumatology and Spine Diseases, Centre for Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark
| | - K Løppenthin
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark
| | - J Midtgaard
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,University Hospitals Centre for Health Research, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
| | - R Christensen
- Musculoskeletal Statistics Unit, The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - B A Esbensen
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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287
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Clarke-Cornwell AM, Farragher TM, Cook PA, Granat MH. Empirically derived cut-points for sedentary behaviour: are we sitting differently? Physiol Meas 2016; 37:1669-1685. [PMID: 27652920 DOI: 10.1088/0967-3334/37/10/1669] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Sedentary behaviour (SB) is associated with a number of adverse health outcomes. Studies that have used ActiGraph monitors to define sedentary time tend to use a threshold of <100 counts per minute (cpm) for classifying SB; however, this cut-point was not empirically derived for adults. It is not known whether ActiGraph cut-points for SB differ depending on the context in which it occurs. We aimed to: (1) empirically derive an optimal threshold for classifying SB, using the cpm output from the ActiGraph GT3X+, compared to the sedentary classification from the activPAL3™; and (2) ascertain whether this varied by day of the week and in working time versus non-working time. A convenience sample of 30 office-based university employees (females (66.67%); age 40.47 ± 10.95 years; BMI 23.93 ± 2.46 kg m-2) wore the ActiGraph GT3X+ and activPAL3™ devices simultaneously for seven days. Data were downloaded in 1 min epochs and non-wear time was removed. Generalised estimating equations were used to make minute by minute comparisons of sedentary time from the two devices, using sedentary minutes (when all 60 s were classified as sitting/lying) from the activPAL3™ as the criterion measure. After data reduction participants provided on average 11 h 27 min of data per day. The derived cut-points from the models were significantly higher on a Saturday (97 cpm) compared to weekdays (60 cpm) and Sunday (57 cpm). Derived cpm for sedentary time during working time were significantly lower compared to non-working time (35 (95%CI 30-41) versus 73 (54-113)). Compared to the 100 cpm and 150 cpm thresholds, the empirically derived cut-points were not significantly different in terms of area-under-the-curve, but had lower mean bias for working and non-working times. Accelerometer cut-points for SB can depend on day and also domain, suggesting that the nature of sitting differs depending on the context in which sedentary time is accrued.
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288
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Lerma NL, Keenan KG, Strath SJ, Forseth BM, Cho CC, Swartz AM. Muscle activation and energy expenditure of sedentary behavior alternatives in young and old adults. Physiol Meas 2016; 37:1686-1700. [DOI: 10.1088/0967-3334/37/10/1686] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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289
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van Laarhoven SN, Lipperts M, Bolink SAAN, Senden R, Heyligers IC, Grimm B. Validation of a novel activity monitor in impaired, slow-walking, crutch-supported patients. Ann Phys Rehabil Med 2016; 59:308-313. [PMID: 27659237 DOI: 10.1016/j.rehab.2016.05.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 05/25/2016] [Accepted: 05/29/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND A growing need in clinical practice of rehabilitation and orthopaedic medicine is for objective outcome tools to estimate physical activity. Current techniques show limited validity or are too demanding for routine clinical use. Accelerometer-based activity monitors (AMs) have shown promise for measuring physical activity in healthy people but lack validity in impaired patients. OBJECTIVES This study aimed to validate an accelerometer-based AM in impaired, slow-walking, crutch-supported patients after total joint arthroplasty (TJA). METHODS Shortly after TJA, patients who were safely mobilized with 2 crutches and 8 healthy participants completed a trial of different activities while wearing the AM on the lateral upper leg and being videotaped. Outcome variables (e.g., time walking, number of gait cycles, sit-stand-sit transfers) were compared to video recordings, and sensitivity, predictive value and mean percentage difference (MPD) values were calculated. RESULTS We included 40 patients (mean age: 65±9 years; mean BMI: 30±6kg/m2; male:female ratio: 18:22) and 8 healthy participants (mean age: 49±20 years; mean BMI: 23±0.7kg/m2; male:female ratio: 5:3). The AM showed excellent sensitivity (>95%) and predictive value (>95%) in identifying activities (e.g., walking, sitting, resting) and detecting the number of gait cycles and sit-stand-sit transfers (mean percentage difference: ±2%). Detection of number of steps ascending and descending stairs and cadence was more difficult but still showed good results (mean percentage difference: ±7%). CONCLUSIONS This is the first validation study to assess physical activity with an AM in impaired, slow-walking, crutch-supported patients. The AM was a valid tool for measuring physical activity in these patients. The tool may help in evaluating and optimizing rehabilitation programs for patients after TJA, those recovering from stroke or chronic impaired patients.
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Affiliation(s)
- Simon N van Laarhoven
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands.
| | - Matthijs Lipperts
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands
| | - Stijn A A N Bolink
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands
| | - Rachel Senden
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands
| | - Ide C Heyligers
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands
| | - Bernd Grimm
- Department of orthopaedics, Atrium medical center Heerlen, 5, Henri Dunantstraat, 6419PC Heerlen, The Netherlands
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290
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Gomersall SR, Ng N, Burton NW, Pavey TG, Gilson ND, Brown WJ. Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry. J Med Internet Res 2016; 18:e239. [PMID: 27604226 PMCID: PMC5031913 DOI: 10.2196/jmir.5531] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Revised: 06/06/2016] [Accepted: 07/20/2016] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Activity trackers are increasingly popular with both consumers and researchers for monitoring activity and for promoting positive behavior change. However, there is a lack of research investigating the performance of these devices in free-living contexts, for which findings are likely to vary from studies conducted in well-controlled laboratory settings. OBJECTIVE The aim was to compare Fitbit One and Jawbone UP estimates of steps, moderate-to-vigorous physical activity (MVPA), and sedentary behavior with data from the ActiGraph GT3X+ accelerometer in a free-living context. METHODS Thirty-two participants were recruited using convenience sampling; 29 provided valid data for this study (female: 90%, 26/29; age: mean 39.6, SD 11.0 years). On two occasions for 7 days each, participants wore an ActiGraph GT3X+ accelerometer on their right hip and either a hip-worn Fitbit One (n=14) or wrist-worn Jawbone UP (n=15) activity tracker. Daily estimates of steps and very active minutes were derived from the Fitbit One (n=135 days) and steps, active time, and longest idle time from the Jawbone UP (n=154 days). Daily estimates of steps, MVPA, and longest sedentary bout were derived from the corresponding days of ActiGraph data. Correlation coefficients and Bland-Altman plots with examination of systematic bias were used to assess convergent validity and agreement between the devices and the ActiGraph. Cohen's kappa was used to assess the agreement between each device and the ActiGraph for classification of active versus inactive (≥10,000 steps per day and ≥30 min/day of MVPA) comparable with public health guidelines. RESULTS Correlations with ActiGraph estimates of steps and MVPA ranged between .72 and .90 for Fitbit One and .56 and .75 for Jawbone UP. Compared with ActiGraph estimates, both devices overestimated daily steps by 8% (Fitbit One) and 14% (Jawbone UP). However, mean differences were larger for daily MVPA (Fitbit One: underestimated by 46%; Jawbone UP: overestimated by 50%). There was systematic bias across all outcomes for both devices. Correlations with ActiGraph data for longest idle time (Jawbone UP) ranged from .08 to .19. Agreement for classifying days as active or inactive using the ≥10,000 steps/day criterion was substantial (Fitbit One: κ=.68; Jawbone UP: κ=.52) and slight-fair using the criterion of ≥30 min/day of MVPA (Fitbit One: κ=.40; Jawbone UP: κ=.14). CONCLUSIONS There was moderate-strong agreement between the ActiGraph and both Fitbit One and Jawbone UP for the estimation of daily steps. However, due to modest accuracy and systematic bias, they are better suited for consumer-based self-monitoring (eg, for the public consumer or in behavior change interventions) rather than to evaluate research outcomes. The outcomes that relate to health-enhancing MVPA (eg, "very active minutes" for Fitbit One or "active time" for Jawbone UP) and sedentary behavior ("idle time" for Jawbone UP) should be used with caution by consumers and researchers alike.
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Affiliation(s)
- Sjaan R Gomersall
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia.
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291
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Objective Physical Activity Measurement for a Child With Special Health Care Needs. J Pediatr Nurs 2016; 31:548-53. [PMID: 27411293 DOI: 10.1016/j.pedn.2016.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 05/25/2016] [Indexed: 11/23/2022]
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292
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Awais M, Mellone S, Chiari L. Physical activity classification meets daily life: Review on existing methodologies and open challenges. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:5050-3. [PMID: 26737426 DOI: 10.1109/embc.2015.7319526] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Recent advances in the MEMS devices make it happen to wirelessly integrate miniature motion capturing devices with Smartphones and to use them in personal health care and physical activity monitoring in daily life. There is no ground truth, though, to measure the physical activity (PA) in daily life and because of this, there is no common validation procedure adapted by the researchers for benchmarking the performance of algorithms for PA classification. The major issue in the existing studies for PA classification is the utilization of structured protocol in a controlled setting or simulated daily environment, which limits their implementation in real life conditions where activities are unplanned and unstructured, both in occurrence and in duration. This study provides a critical review on the validation procedures used for PA classification, types of activities classified and limitations in the exiting studies to implement them in daily life settings. Only those studies are considered which classify PA based on wearable accelerometers as an objective measure. The pros and cons of existing methodologies are highlighted and future possibilities are addressed for the development of a robust PA classification system which is feasible under real life conditions.
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293
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Web-based physiotherapy for people with axial spondyloarthritis (WEBPASS) - a study protocol. BMC Musculoskelet Disord 2016; 17:360. [PMID: 27553492 PMCID: PMC4995794 DOI: 10.1186/s12891-016-1218-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Accepted: 08/13/2016] [Indexed: 11/10/2022] Open
Abstract
Background Evidence suggests people with axial spondyloarthritis (axial SpA) should exercise up to five times per week but lack of time, symptoms, cost and distance are barriers to regular exercise in axial SpA. Personalised exercise programmes delivered via the internet might support people with axial SpA to reach these exercise targets. The aim of this study is to investigate the effect of, and adherence to, a 12 month personalised web-based physiotherapy programme for people with axial SpA. Methods Fifty people with axial SpA will be recruited to this prospective, interventional cohort study. Each participant will be assessed by a physiotherapist and an individualised exercise programme set up on www.webbasedphysio.com. Participants will be asked to complete their programme five times per week for 12 months. With the exception of adherence, data will be collected at baseline, 6 and 12 months. Discussion The primary outcome measure is adherence to the exercise programme over each four week cycle (20 sessions maximum per cycle) and over the 12 months. Secondary measures include function (BASFI), disease activity (BASDAI), work impairment (WPAI:SpA), quality of life (ASQoL, EQ5D), attitude to exercise (EMI-2, EAQ), spinal mobility (BASMI), physical activity and the six minute walk test. Participants will also be interviewed to explore their adherence, or otherwise, to the intervention. This study will determine the adherence and key clinical outcomes of a targeted web-based physiotherapy programme for axial SpA. This data will inform clinical practice and the development and implementation of similar programmes. Trial registration ClinicalTrials.gov: NCT02666313, 20th January 2016
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294
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Young DR, Hivert MF, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, Lewis CE, Owen N, Perry CK, Siddique J, Yong CM. Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association. Circulation 2016; 134:e262-79. [PMID: 27528691 DOI: 10.1161/cir.0000000000000440] [Citation(s) in RCA: 466] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Epidemiological evidence is accumulating that indicates greater time spent in sedentary behavior is associated with all-cause and cardiovascular morbidity and mortality in adults such that some countries have disseminated broad guidelines that recommend minimizing sedentary behaviors. Research examining the possible deleterious consequences of excess sedentary behavior is rapidly evolving, with the epidemiology-based literature ahead of potential biological mechanisms that might explain the observed associations. This American Heart Association science advisory reviews the current evidence on sedentary behavior in terms of assessment methods, population prevalence, determinants, associations with cardiovascular disease incidence and mortality, potential underlying mechanisms, and interventions. Recommendations for future research on this emerging cardiovascular health topic are included. Further evidence is required to better inform public health interventions and future quantitative guidelines on sedentary behavior and cardiovascular health outcomes.
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295
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Hegarty LM, Mair JL, Kirby K, Murtagh E, Murphy MH. School-based Interventions to Reduce Sedentary Behaviour in Children: A Systematic Review. AIMS Public Health 2016; 3:520-541. [PMID: 29546180 PMCID: PMC5689814 DOI: 10.3934/publichealth.2016.3.520] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 08/03/2016] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Prolonged, uninterrupted periods of sedentary time may be associated with increased risk of Type II diabetes, cardiovascular disease and all-cause mortality even if the minimum recommended levels of daily physical activity are achieved. It is reported that children spend approximately 80% of their day engaged in sedentary behaviours. Since children spend a large portion of their waking time at school, school-based interventions targeting excessive or interrupted periods of sedentary time have been investigated in a number of studies. However, results of the effectiveness of studies to-date have been inconsistent. AIM To conduct a systematic review to evaluate the effectiveness of school-based interventions designed to reduce sedentary behaviour on objectively measured sedentary time in children. METHODS Five electronic databases were searched to retrieve peer-reviewed studies published in English up to and including August 2015. Studies that reported objectively measured sedentary time before and after a school-based intervention to reduce sedentary time were included in the review. Risk of bias was assessed using the Cochrane Collaboration method. RESULTS Our search identified eleven papers reporting eight interventions. Studies focused on the physical environment, the curriculum, individual in-class activities, homework activities or a combination of these strategies. Three studies reported decreases in sedentary time following intervention. Study follow-up periods ranged from immediately post-intervention to 12 months. None of the studies were judged to have a low risk of bias. CONCLUSIONS Multicomponent interventions which also include the use of standing desks may be an effective method for reducing children's sedentary time in a school-based intervention. However, longer term trials are needed to determine the sustained effectiveness of such interventions on children's sedentary time.
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Affiliation(s)
- Lynda M. Hegarty
- School of Sport, Ulster University, Jordanstown, Northern Ireland
| | - Jacqueline L. Mair
- Sport and Exercise Sciences Research Institute, Ulster University, Jordanstown, Northern Ireland
| | - Karen Kirby
- School of Psychology, Ulster University, Magee, Londonderry, Northern Ireland
| | - Elaine Murtagh
- Department of Arts, Education and Physical Education, Mary Immaculate College, University of Limerick, Limerick, Ireland
| | - Marie H. Murphy
- Sport and Exercise Sciences Research Institute, Ulster University, Jordanstown, Northern Ireland
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Associations of objectively measured moderate-to-vigorous physical activity and sedentary behavior with quality of life and psychological well-being in prostate cancer survivors. Cancer Causes Control 2016; 27:1093-103. [PMID: 27469939 PMCID: PMC4983284 DOI: 10.1007/s10552-016-0787-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 07/13/2016] [Indexed: 12/20/2022]
Abstract
Purpose Although evidence is building on the positive effects of physical activity for prostate cancer survivors, less is known about the possible independent effects of sedentary behavior on quality of life and psychological well-being in this population. We determined the extent to which objectively measured moderate-to-vigorous physical activity (MVPA) and sedentary behavior were independently associated with quality of life, anxiety, and depressive symptoms in prostate cancer survivors. Methods An exploratory cross-sectional analysis was undertaken on baseline data from a multicenter, cluster randomized controlled trial on the efficacy of a clinician referral and 12-week exercise program for men who had completed active treatment for prostate cancer. Multiple regression analyses were performed using data from 98 prostate cancer survivors who wore hip-mounted accelerometers (time spent sedentary defined as <100 counts per minute [CPM]; MVPA defined as >1,951 CPM) and completed self-report instruments on their quality of life, anxiety, and depressive symptoms. Results were compared with minimal clinically important differences for the quality of life scales. Results Independent of sedentary behavior, increases in MVPA of between 15 and 33 min/day were associated with clinically important (but not statistically significant) improvements in three quality of life scales (insomnia, diarrhea, and financial difficulties). Independent of MVPA, decreases in sedentary behavior of 119 and 107 min/day were associated with clinically important (but not statistically significant) improvements in physical functioning and role functioning, respectively. Conclusion Within our exploratory study, modest increases in MVPA and more substantive decreases in sedentary behavior were independently associated with clinically important improvements in several quality of life scales. Further research, including prospective studies, is required to understand sedentary behavior across larger and more representative samples (in terms of their physical, psychological, and social functioning and their engagement in physical activity) of prostate cancer survivors. Trial registration Australia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12610000609055
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297
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van Nassau F, van der Ploeg HP, Abrahamsen F, Andersen E, Anderson AS, Bosmans JE, Bunn C, Chalmers M, Clissmann C, Gill JMR, Gray CM, Hunt K, Jelsma JGM, La Guardia JG, Lemyre PN, Loudon DW, Macaulay L, Maxwell DJ, McConnachie A, Martin A, Mourselas N, Mutrie N, Nijhuis-van der Sanden R, O'Brien K, Pereira HV, Philpott M, Roberts GC, Rooksby J, Rost M, Røynesdal Ø, Sattar N, Silva MN, Sorensen M, Teixeira PJ, Treweek S, van Achterberg T, van de Glind I, van Mechelen W, Wyke S. Study protocol of European Fans in Training (EuroFIT): a four-country randomised controlled trial of a lifestyle program for men delivered in elite football clubs. BMC Public Health 2016; 16:598. [PMID: 27430332 PMCID: PMC4950080 DOI: 10.1186/s12889-016-3255-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 07/01/2016] [Indexed: 12/24/2022] Open
Abstract
Background Lifestyle interventions targeting physical activity, sedentary time and dietary behaviours have the potential to initiate and support behavioural change and result in public health gain. Although men have often been reluctant to engage in such lifestyle programs, many are at high risk of several chronic conditions. We have developed an evidence and theory-based, gender sensitised, health and lifestyle program (European Fans in Training (EuroFIT)), which is designed to attract men through the loyalty they feel to the football club they support. This paper describes the study protocol to evaluate the effectiveness and cost-effectiveness of the EuroFIT program in supporting men to improve their level of physical activity and reduce sedentary behaviour over 12 months. Methods The EuroFIT study is a pragmatic, two-arm, randomised controlled trial conducted in 15 football clubs in the Netherlands, Norway, Portugal and the UK (England). One-thousand men, aged 30 to 65 years, with a self-reported Body Mass Index (BMI) ≥27 kg/m2 will be recruited and individually randomised. The primary outcomes are objectively-assessed changes in total physical activity (steps per day) and total sedentary time (minutes per day) at 12 months after baseline assessment. Secondary outcomes are weight, BMI, waist circumference, resting systolic and diastolic blood pressure, cardio-metabolic blood biomarkers, food intake, self-reported physical activity and sedentary time, wellbeing, self-esteem, vitality and quality of life. Cost-effectiveness will be assessed and a process evaluation conducted. The EuroFIT program will be delivered over 12 weekly, 90-minute sessions that combine classroom discussion with graded physical activity in the setting of the football club. Classroom sessions provide participants with a toolbox of behaviour change techniques to initiate and sustain long-term lifestyle changes. The coaches will receive two days of training to enable them to create a positive social environment that supports men in engaging in sustained behaviour change. Discussion The EuroFIT trial will provide evidence on the effectiveness and cost-effectiveness of the EuroFIT program delivered by football clubs to their male fans, and will offer insight into factors associated with success in making sustained changes to physical activity, sedentary behaviour, and secondary outcomes, such as diet. Trial registration ISRCTN: 81935608. Registered 16 June 2015.
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Affiliation(s)
- Femke van Nassau
- Department of Public and Occupational Health, and EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Hidde P van der Ploeg
- Department of Public and Occupational Health, and EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands.
| | - Frank Abrahamsen
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - Eivind Andersen
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - Annie S Anderson
- Centre for Public Health Nutrition Research, Level 7, Ninewells Medical School, University of Dundee, Dundee, UK
| | - Judith E Bosmans
- Department of Health Sciences and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Christopher Bunn
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, G12 8RS, UK
| | - Matthew Chalmers
- School of Computing Science, University of Glasgow, Glasgow, G12 8RZ, UK
| | | | - Jason M R Gill
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Cindy M Gray
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, G12 8RS, UK
| | - Kate Hunt
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Judith G M Jelsma
- Department of Public and Occupational Health, and EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | | | - Pierre N Lemyre
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - David W Loudon
- PAL Technologies Ltd, PAL Technologies Ltd 50 Richmond Street, Glasgow, G1 1XP, Scotland, UK
| | - Lisa Macaulay
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, G12 8RS, UK
| | - Douglas J Maxwell
- PAL Technologies Ltd, PAL Technologies Ltd 50 Richmond Street, Glasgow, G1 1XP, Scotland, UK
| | - Alex McConnachie
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Anne Martin
- Physical Activity for Health Research Centre, University of Edinburgh, Institute for Sport, Physical Education and Health Sciences, Edinburgh, EH8 8AQ, UK
| | - Nikos Mourselas
- PAL Technologies Ltd, PAL Technologies Ltd 50 Richmond Street, Glasgow, G1 1XP, Scotland, UK
| | - Nanette Mutrie
- Physical Activity for Health Research Centre, University of Edinburgh, Institute for Sport, Physical Education and Health Sciences, Edinburgh, EH8 8AQ, UK
| | - Ria Nijhuis-van der Sanden
- Radboud university medical center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ healthcare), Nijmegen, The Netherlands
| | - Kylie O'Brien
- Pintail Ltd, 77 Springhill Ave, Blackrock, Co. Dublin, Ireland
| | - Hugo V Pereira
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Estrada da Costa, 1495-688, Cruz Quebrada, Portugal
| | - Matthew Philpott
- European Healthy Stadia Network, 151 Dale Street, Liverpool, L2 2JH, UK
| | - Glyn C Roberts
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - John Rooksby
- School of Computing Science, University of Glasgow, Glasgow, G12 8RZ, UK
| | - Mattias Rost
- School of Computing Science, University of Glasgow, Glasgow, G12 8RZ, UK
| | - Øystein Røynesdal
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Marlene N Silva
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Estrada da Costa, 1495-688, Cruz Quebrada, Portugal
| | - Marit Sorensen
- Norwegian School of Sport Sciences, Department of Coaching and Psychology, Oslo, Norway
| | - Pedro J Teixeira
- European Healthy Stadia Network, 151 Dale Street, Liverpool, L2 2JH, UK
| | - Shaun Treweek
- Health Services Research Unit, University of Aberdeen, Aberdeen, AB25 2ZD, UK
| | - Theo van Achterberg
- Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium
| | - Irene van de Glind
- Radboud university medical center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ healthcare), Nijmegen, The Netherlands
| | - Willem van Mechelen
- Department of Public and Occupational Health, and EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Sally Wyke
- Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, G12 8RS, UK
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298
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Mantzari E, Wijndaele K, Brage S, Griffin SJ, Marteau TM. Impact of sit-stand desks at work on energy expenditure and sedentary time: protocol for a feasibility study. Pilot Feasibility Stud 2016; 2:30. [PMID: 27965849 PMCID: PMC5154067 DOI: 10.1186/s40814-016-0071-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 06/30/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Prolonged sitting, an independent risk factor for disease development and premature mortality, is increasing in prevalence in high- and middle-income countries, with no signs of abating. Adults in such countries spend the largest proportion of their day in sedentary behaviour, most of which is accumulated at work. One promising method for reducing workplace sitting is the use of sit-stand desks. However, key uncertainties remain about this intervention, related to the quality of existing studies and a lack of focus on key outcomes, including energy expenditure. We are planning a randomised controlled trial to assess the impact of sit-stand desks at work on energy expenditure and sitting time in the short and longer term. To reduce the uncertainties related to the design of this trial, we propose a preliminary study to assess the feasibility and acceptability of the recruitment, allocation, measurement, retention and intervention procedures. METHODS Five hundred office-based employees from two companies in Cambridge, UK, will complete a survey to assess their interest in participating in a trial on the use of sit-stand desks at work. The workspaces of 100 of those interested in participating will be assessed for sit-stand desk installation suitability, and 20 participants will be randomised to either the use of sit-stand desks at work for 3 months or a waiting list control group. Energy expenditure and sitting time, measured via Actiheart and activPAL monitors, respectively, as well as cardio-metabolic and anthropometric outcomes and other outcomes relating to health and work performance, will be assessed in 10 randomly selected participants. All participants will also be interviewed about their experience of using the desks and participating in the study. DISCUSSION The findings are expected to inform the design of a trial assessing the impact of sit-stand desks at work on short and longer term workplace sitting, taking into account their impact on energy expenditure and the extent to which their use has compensation effects outside the workplace. The findings from such a trial are expected to inform discussions regarding the potential of sit-stand desks at work to alleviate the harm to cardio-metabolic health arising from prolonged sitting. TRIAL REGISTRATION ISRCTN44827407.
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Affiliation(s)
- Eleni Mantzari
- Behaviour and Health Research Unit, University of Cambridge, Cambridge, UK
| | | | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | | | - Theresa M. Marteau
- Behaviour and Health Research Unit, University of Cambridge, Cambridge, UK
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299
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Sellers C, Dall P, Grant M, Stansfield B. Agreement of the activPAL3 and activPAL for characterising posture and stepping in adults and children. Gait Posture 2016; 48:209-214. [PMID: 27318305 DOI: 10.1016/j.gaitpost.2016.05.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 05/18/2016] [Accepted: 05/23/2016] [Indexed: 02/02/2023]
Abstract
Characterisation of physical activity and sedentary behaviour under free-living conditions is becoming increasingly important in light of growing evidence for the health implications of these behaviours. The integrity of long-term follow-up and the ability to compare outcomes between studies is critically dependent on the agreement of outcomes from successive generations of monitors. This study evaluated the agreement of the activPAL and second generation activPAL3 devices. Agreement was assessed in both adults (median 27.6y IQR 22.6) (n=20) and young people (median 12.0y IQR 4.1) (n=8) during standardised and daily living (ADL) test activities. During standardised activities; sedentary duration, upright duration, stepping duration and overall number of steps were all detected within small limits of agreement (≤5%). However, the activPAL characterised more steps during jogging than the activPAL3 (adults +8.36%, young people +6.80%). Also during ADL differences arose due to different posture characterisation in young people and lower step detection in the activPAL than the activPAL3 (adults -20.58%, young people -11.43%). Second-by-second posture analysis demonstrated high levels (>90%) of agreement for all activities between monitors. However, sensitivity (68.7%) and positive predictive value (78.8%) for adult stepping demonstrated disagreement between monitor interpretation of movement patterns during ADL. Agreement between monitor outcomes for standardised activities provides confidence that these outcomes can be considered almost equivalent. However, for characterisation of jogging and smaller movements during ADL, it is likely that significant differences between monitor outcomes will arise.
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Affiliation(s)
- Ceri Sellers
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
| | - Philippa Dall
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
| | - Margaret Grant
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
| | - Ben Stansfield
- Institute for Applied Health Research, School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow, G4 0BA, UK.
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300
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Criterion Validity of the activPAL Activity Monitor for Sedentary and Physical Activity Patterns in People Who Have Rheumatoid Arthritis. Phys Ther 2016; 96:1093-101. [PMID: 26637646 DOI: 10.2522/ptj.20150281] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 11/22/2015] [Indexed: 01/11/2023]
Abstract
BACKGROUND Accurate measurement of physical activity and sedentary behavior is an important consideration for health care professionals. The activPAL activity monitor has not been validated against a criterion measure for people with rheumatoid arthritis (RA). OBJECTIVE The objective of this study was to determine the criterion validity of the activPAL activity monitor for measuring step counts, transition counts, and time spent in sedentary, standing, and walking behaviors in people with RA. DESIGN A laboratory-based criterion validation study was conducted. METHODS Participants with a confirmed medical diagnosis of RA were recruited from 2 outpatient rheumatology clinics. The testing procedure consisted of standardized testing components and tasks related to activities of daily living. Participants wore an activPAL activity monitor and were video recorded throughout the testing procedure. Direct observation was used as the criterion measure. Data analysis consisted of validation analysis of the activPAL activity monitor data and the criterion measure data. RESULTS Twenty-four people participated in the study. Data from 20 participants were included in the final analysis. The activPAL significantly underestimated step counts by 26% and transition counts by 36%. There was no significant difference between the activPAL activity monitor and the criterion measure for time spent in sedentary, standing or light activity, and walking behaviors. LIMITATIONS Validation of activities of daily living in a laboratory environment is a limitation of this study. CONCLUSIONS The activPAL activity monitor underestimated step and transition counts and, therefore, is not valid for measuring these outcomes in people with RA. Relative to direct observation, the activPAL activity monitor is valid for measuring time spent in sedentary, standing, and walking behaviors in people with RA.
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