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Daryabeygi-Khotbehsara R, Rawstorn JC, Dunstan DW, Shariful Islam SM, Abdelrazek M, Kouzani AZ, Thummala P, McVicar J, Maddison R. A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study. JMIR Form Res 2024; 8:e47157. [PMID: 38265864 PMCID: PMC10851128 DOI: 10.2196/47157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 10/20/2023] [Accepted: 10/29/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND This study assesses the accuracy of a Bluetooth-enabled prototype activity tracker called the Sedentary behaviOR Detector (SORD) device in identifying sedentary, standing, and walking behaviors in a group of adult participants. OBJECTIVE The primary objective of this study was to determine the criterion and convergent validity of SORD against direct observation and activPAL. METHODS A total of 15 healthy adults wore SORD and activPAL devices on their thighs while engaging in activities (lying, reclining, sitting, standing, and walking). Direct observation was facilitated with cameras. Algorithms were developed using the Python programming language. The Bland-Altman method was used to assess the level of agreement. RESULTS Overall, 1 model generated a low level of bias and high precision for SORD. In this model, accuracy, sensitivity, and specificity were all above 0.95 for detecting sitting, reclining, standing, and walking. Bland-Altman results showed that mean biases between SORD and direct observation were 0.3% for sitting and reclining (limits of agreement [LoA]=-0.3% to 0.9%), 1.19% for standing (LoA=-1.5% to 3.42%), and -4.71% for walking (LoA=-9.26% to -0.16%). The mean biases between SORD and activPAL were -3.45% for sitting and reclining (LoA=-11.59% to 4.68%), 7.45% for standing (LoA=-5.04% to 19.95%), and -5.40% for walking (LoA=-11.44% to 0.64%). CONCLUSIONS Results suggest that SORD is a valid device for detecting sitting, standing, and walking, which was demonstrated by excellent accuracy compared to direct observation. SORD offers promise for future inclusion in theory-based, real-time, and adaptive interventions to encourage physical activity and reduce sedentary behavior.
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Affiliation(s)
- Reza Daryabeygi-Khotbehsara
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood, Australia
| | - Jonathan C Rawstorn
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood, Australia
| | - David W Dunstan
- Baker-Deakin Department of Lifestyle and Diabetes, Melbourne Burwood, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood, Australia
| | - Mohamed Abdelrazek
- School of Information Technology, Deakin University, Melbourne Burwood, Australia
| | - Abbas Z Kouzani
- School of Engineering, Deakin University, Geelong, Australia
| | - Poojith Thummala
- School of Information Technology, Deakin University, Melbourne Burwood, Australia
| | - Jenna McVicar
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood, Australia
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood, Australia
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Delobelle J, Lebuf E, Dyck DV, Compernolle S, Janek M, Backere FD, Vetrovsky T. Fitbit's accuracy to measure short bouts of stepping and sedentary behaviour: validation, sensitivity and specificity study. Digit Health 2024; 10:20552076241262710. [PMID: 38894943 PMCID: PMC11185038 DOI: 10.1177/20552076241262710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
Objective This study aims to assess the suitability of Fitbit devices for real-time physical activity (PA) and sedentary behaviour (SB) monitoring in the context of just-in-time adaptive interventions (JITAIs) and event-based ecological momentary assessment (EMA) studies. Methods Thirty-seven adults (18-65 years) and 32 older adults (65+) from Belgium and the Czech Republic wore four devices simultaneously for 3 days: two Fitbit models on the wrist, an ActiGraph GT3X+ at the hip and an ActivPAL at the thigh. Accuracy measures included mean (absolute) error and mean (absolute) percentage error. Concurrent validity was assessed using Lin's concordance correlation coefficient and Bland-Altman analyses. Fitbit's sensitivity and specificity for detecting stepping events across different thresholds and durations were calculated compared to ActiGraph, while ROC curve analyses identified optimal Fitbit thresholds for detecting sedentary events according to ActivPAL. Results Fitbits demonstrated validity in measuring steps on a short time scale compared to ActiGraph. Except for stepping above 120 steps/min in older adults, both Fitbit models detected stepping bouts in adults and older adults with sensitivities and specificities exceeding 87% and 97%, respectively. Optimal cut-off values for identifying prolonged sitting bouts achieved sensitivities and specificities greater than 93% and 89%, respectively. Conclusions This study provides practical insights into using Fitbit devices in JITAIs and event-based EMA studies among adults and older adults. Fitbits' reasonable accuracy in detecting short bouts of stepping and SB makes them suitable for triggering JITAI prompts or EMA questionnaires following a PA or SB event of interest.
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Affiliation(s)
- Julie Delobelle
- Physical Activity & Health, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Elien Lebuf
- Physical Activity & Health, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Delfien Van Dyck
- Physical Activity & Health, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Sofie Compernolle
- Physical Activity & Health, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Michael Janek
- Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic
| | - Femke De Backere
- Faculty of Engineering and Architecture, Department of Information Technology, Ghent University, Ghent, Belgium
| | - Tomas Vetrovsky
- Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic
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Iveson AMJ, Abaraogu UO, Dall PM, Granat MH, Ellis BM. Walking Behaviour of Individuals with Intermittent Claudication Compared to Matched Controls in Different Locations: An Exploratory Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20105816. [PMID: 37239542 DOI: 10.3390/ijerph20105816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/02/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023]
Abstract
Individuals with intermittent claudication (IC) are less physically active than their peers, but how this varies with location is unclear. Individuals with IC and matched controls [sex, age ±5 years, home < 5 miles] wore an activity monitor (activPAL) and carried a GPS device (AMOD-AGL3080) for 7 days. GPS data categorised walking events as occurring at home (<=50 m from home co-ordinates) or away from home, and indoors (signal to noise ratio <= 212 dB) or outdoors. Number of walking events, walking duration, steps and cadence were compared between groups and each location pair using mixed model ANOVAs. In addition, the locus of activity (distance from home) at which walking was conducted was compared between groups. Participants (n = 56) were mostly male (64%) and aged 54-89 years. Individuals with IC spent significantly less time walking and took fewer steps than their matched controls at all locations, including at home. Participants spent more time and took more steps away from home than at home, but were similar when walking indoors and outdoors. The locus of activity was significantly smaller for individuals with IC, suggesting that it is not just physical capacity that influences walking behaviour, and other factors (e.g., social isolation) may play a role.
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Affiliation(s)
- Anna M J Iveson
- Research Centre for Health, Glasgow Caledonian University, Glasgow G4 0BA, UK
| | | | - Philippa M Dall
- Research Centre for Health, Glasgow Caledonian University, Glasgow G4 0BA, UK
| | - Malcolm H Granat
- School of Health Sciences, Salford University, Salford M5 4WT, UK
| | - Brian M Ellis
- Research Centre for Health, Glasgow Caledonian University, Glasgow G4 0BA, UK
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Maurits JSF, Sedelaar JPM, Aben KKH, Kampman E, Kiemeney LALM, Vrieling A. Cohort profile - the Renal cell cancer: Lifestyle, prognosis and quality of life (ReLife) study in the Netherlands. BMJ Open 2023; 13:e066909. [PMID: 36972960 PMCID: PMC10069500 DOI: 10.1136/bmjopen-2022-066909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
PURPOSE The Renal cell cancer: Lifestyle, prognosis and quality of life (ReLife) study is set up to obtain insight into the association of patient and tumour characteristics, lifestyle habits and circulating biomarkers with body composition features in patients with localised renal cell cancer (RCC). Further, it aims to assess the association of body composition features, lifestyle habits and circulating biomarkers with clinical outcomes, including health-related quality of life. PARTICIPANTS The ReLife study is a multicentre prospective cohort study involving 368 patients with newly diagnosed stages I-III RCC recruited from January 2018 to June 2021 from 18 hospitals in the Netherlands. At 3 months, 1 year and 2 years after treatment, participants fill out a general questionnaire and questionnaires about their lifestyle habits (eg, diet, physical activity, smoking and alcohol consumption), medical history and health-related quality of life. At all three time points, patients wear an accelerometer and have blood samples taken. CT scans for body composition analysis are being collected. Permission is asked for collection of tumour samples. Information about disease characteristics, treatment of the primary tumour and clinical outcomes is being collected from medical records by the Netherlands Cancer Registry. FINDINGS TO DATE A total of 836 invited patients were eligible and 368 patients were willing to participate and were included (response rate 44%). The mean age of patients was 62.5±9.0 years and 70% was male. The majority had stage I (65%) disease and were treated with radical nephrectomy (57%). Data collection at 3 months and 1 years after treatment have been finalised. FUTURE PLANS Data collection at 2 years after treatment is expected to be finalised in June 2023 and longitudinal clinical data will continue to be collected. Results of studies based on this cohort are important to develop personalised evidence-based lifestyle advice for patients with localised RCC to enable them to get more control over their disease course.
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Affiliation(s)
- Jake S F Maurits
- Department for Health Evidence, Radboud Univerity Medical Center, Nijmegen, The Netherlands
| | - J P Michiel Sedelaar
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katja K H Aben
- Department for Health Evidence, Radboud Univerity Medical Center, Nijmegen, The Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Ellen Kampman
- Department for Health Evidence, Radboud Univerity Medical Center, Nijmegen, The Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | | | - Alina Vrieling
- Department for Health Evidence, Radboud Univerity Medical Center, Nijmegen, The Netherlands
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Lyden K, Abraham N, Boucher R, Wei G, Gonce V, Carle J, Hartsell SE, Christensen J, Beddhu S. Predicting hospitalization from real-world measures in patients with chronic kidney disease: A proof-of-principle study. Digit Health 2023; 9:20552076231181234. [PMID: 37361437 PMCID: PMC10286549 DOI: 10.1177/20552076231181234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Objective To investigate if in-clinic measures of physical function and real-world measures of physical behavior and mobility effort are associated with one another and to determine if they predict future hospitalization in participants with chronic kidney disease (CKD). Methods In this secondary analysis, novel real-world measures of physical behavior and mobility effort, including the best 6-minute step count (B6SC), were derived from passively collected data from a thigh worn actigraphy sensor and compared to traditional in-clinic measures of physical function (e.g. 6-minute walk test (6MWT). Hospitalization status during 2 years of follow-up was determined from electronic health records. Correlation analyses were used to compare measures and Cox Regression analysis was used to compare measures with hospitalization. Results One hundred and six participants were studied (69 ± 13 years, 43% women). Mean ± SD baseline measures for 6MWT was 386 ± 66 m and B6SC was 524 ± 125 steps. Forty-four hospitalization events over 224 years of total follow-up occurred. Good separation was achieved for tertiles of 6MWT, B6SC and steps/day for hospitalization events. This pattern persisted in models adjusted for demographics (6MWT: HR = 0.63 95% CI 0.43-0.93, B6SC: HR = 0.75, 95% CI 0.56-1.02 and steps/day: HR = 0.75, 95% CI 0.50-1.13) and further adjusted for morbidities (6MWT: HR = 0.54, 95% CI 0.35-0.84, B6SC: HR = 0.70, 95% CI 0.49-1.00 and steps/day: HR = 0.69, 95% CI 0.43-1.09). Conclusion Digital health technologies can be deployed remotely, passively, and continuously to collect real-world measures of physical behavior and mobility effort that differentiate risk of hospitalization in patients with CKD.
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Affiliation(s)
- Kate Lyden
- Department of Kinesiology, University of Massachusetts, Amherst, MA, USA
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA
| | - Nikita Abraham
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Robert Boucher
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Guo Wei
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
- Division of Biostatistics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Victoria Gonce
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Judy Carle
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Sydney E. Hartsell
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Jesse Christensen
- Medical Service, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Srinivasan Beddhu
- Division of Nephrology & Hypertension, University of Utah School of Medicine, Salt Lake City, UT, USA
- Medical Service, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, USA
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Validity of the activPAL monitor to measure stepping activity and activity intensity: A systematic review. Gait Posture 2022; 97:165-173. [PMID: 35964334 DOI: 10.1016/j.gaitpost.2022.08.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 07/24/2022] [Accepted: 08/04/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Accumulating step counts and engaging in moderate-to-vigorous intensity physical activity is positively associated with numerous health benefits. The activPAL is a thigh-worn monitor that is frequently used to measure physical activity. RESEARCH QUESTION Can the activPAL accurately measure stepping activity and identify physical activity intensity? METHODS We systematically reviewed validation studies examining the accuracy of activPAL physical activity outcomes relative to a criterion measure in adults (>18 years). Citations were not restricted to language or date of publication. Sources were searched up to May 16, 2021 and included Scopus, EMBASE, MEDLINE, CINAHL, and Academic Search Premier. The study was pre-registered in Prospero (ID# CRD42021248240). Study quality was determined using a modified Hagströmer Bowles checklist. RESULTS Thirty-nine studies (20 laboratory arms, 17 semi-structured arms, 11 uncontrolled protocol arms; 1272 total participants) met the inclusion criteria. Most studies demonstrated a high validity of the activPAL to measure steps across laboratory (12/15 arms), semi-structured (10/13 arms) and uncontrolled conditions (5/7 arms). Studies that demonstrated low validity were generally conducted in unhealthy populations, included slower walking speeds, and/or short walking distances. Few studies indicated that the activPAL accurately measured physical activity intensity across laboratory (0/6 arms), semi-structured (0/5 arms) and uncontrolled conditions (2/5 arms). Using the default settings, the activPAL overestimates light-intensity activity but underestimates moderate-to-vigorous intensity activity. The overall study quality was 11.5 ± 2.0 out of 19. CONCLUSION Despite heterogeneous methodological and statistical approaches, the included studies generally provide supporting evidence that the activPAL can accurately detect stepping activity but not physical activity intensity. Strategies that use alternative data processing methods have been developed to better characterize physical activity intensity, but all methods still underestimate vigorous-intensity activity.
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Ostendorf DM, Caldwell AE, Zaman A, Pan Z, Bing K, Wayland LT, Creasy SA, Bessesen DH, MacLean P, Melanson EL, Catenacci VA. Comparison of weight loss induced by daily caloric restriction versus intermittent fasting (DRIFT) in individuals with obesity: study protocol for a 52-week randomized clinical trial. Trials 2022; 23:718. [PMID: 36038881 PMCID: PMC9421629 DOI: 10.1186/s13063-022-06523-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 07/06/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The standard of care for treating overweight and obesity is daily caloric restriction (DCR). While this approach produces modest weight loss, adherence to DCR declines over time and weight regain is common. Intermittent fasting (IMF) is an alternative dietary strategy for reducing energy intake (EI) that involves >60% energy restriction on 2-3 days per week, or on alternate days, with habitual intake on fed days. While numerous studies have evaluated IMF as a weight loss strategy, there are several limitations including lack of a standard-of-care DCR control, failure to provide guideline-based behavioral support, and failure to rigorously evaluate dietary and PA adherence using objective measures. To date, only three longer-term (52-week) trials have evaluated IMF as a weight loss strategy. None of these longer-duration studies reported significant differences between IMF and DCR in changes in weight. However, each of these studies has limitations that prohibit drawing generalizable conclusions about the relative long-term efficacy of IMF vs. DCR for obesity treatment. METHODS The Daily Caloric Restriction vs. Intermittent Fasting Trial (DRIFT) is a two-arm, 52-week block randomized (1:1) clinical weight loss trial. The two intervention arms (DCR and IMF) are designed to prescribe an equivalent average weekly energy deficit from baseline weight maintenance energy requirements. Both DCR and IMF will be provided guideline-based behavioral support and a PA prescription. The primary outcome is change in body weight at 52 weeks. Secondary outcomes include changes in body composition (dual-energy x-ray absorptiometry (DXA)), metabolic parameters, total daily energy expenditure (TDEE, doubly labeled water (DLW)), EI (DLW intake-balance method, 7-day diet diaries), and patterns of physical activity (PA, activPAL device). DISCUSSION Although DCR leads to modest weight loss success in the short-term, there is wide inter-individual variability in weight loss and poor long-term weight loss maintenance. Evidence-based dietary approaches to energy restriction that are effective long-term are needed to provide a range of evidence-based options to individuals seeking weight loss. The DRIFT study will evaluate the long-term effectiveness of IMF vs. DCR on changes in objectively measured weight, EI, and PA, when these approaches are delivered using guideline-based behavioral support and PA prescriptions.
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Affiliation(s)
- Danielle M. Ostendorf
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Ann E. Caldwell
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Adnin Zaman
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Kristen Bing
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Liza T. Wayland
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Seth A. Creasy
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Daniel H. Bessesen
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Paul MacLean
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO USA
| | - Victoria A. Catenacci
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
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Alfatafta H, Alfatafta M, Onchonga D, Hammoud S, Khatatbeh H, Zhang L, Boncz I, Lohner S, Molics B. Effect of the knee replacement surgery on activity level based on ActivPAL: a systematic review and meta-analysis study. BMC Musculoskelet Disord 2022; 23:576. [PMID: 35705950 PMCID: PMC9199222 DOI: 10.1186/s12891-022-05531-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/06/2022] [Indexed: 11/25/2022] Open
Abstract
Background The knee replacement (KR) surgery aims to restore the activity level and reduce the risk of experiencing disabilities. The outcomes of this surgery are evaluated mainly with subjective tools or low validity objective tools. However, the effect of the surgery on activity level using high validity objective accelerometer is still in question. Methods A systematic review and meta-analysis were conducted to evaluate the benefit of KR surgery alone to enhance physical activity recommendations based on high validity accelerometer. Two independent reviewers evaluated five electronic databases (Cochrane-Central-Register-of-Controlled Trials, EMBASE, PubMed, Web of Science, and Scopus) to find relative studies between January 2000 and October 2021. The quality assessments and risk of bias assessments were examined. Results Three articles were included with 202 participants (86 males, 116 females), with an average age of 64 years and an average 32 kg/m2 body mass index. The results found that the number of steps was significantly improved up to 36.35 and 45.5% after 6-months and 1-year of the surgery, respectively. However, these changes did not meet the recommended activity level guideline and could be related to the patients’ health status and their activity level before the surgery. No significant changes were seen in sedentary time, standing time, and upright time after 6-months and 1-year follow-ups. Heterogeneity among studies was low to moderate (0–63%). Conclusion Knee replacement surgery is an effective treatment for improving patients’ quality of life with severe knee injuries. However, various factors impact the success of surgical and achieving maximum benefit of the surgery. One factor, sedentary time, can be reduced by implementing pre-and post-surgery exercise or physical activity recommendations. Further studies are needed to understand the benefit of surgery with or without rehabilitation assessed using high validity monitors. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-022-05531-2.
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Affiliation(s)
- Huda Alfatafta
- Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621, Vörösmartyutca 4, Pécs, Hungary.
| | - Mahmoud Alfatafta
- Orthotics and Prosthetics Department, Rehabilitation Sciences School, University of Jordan, Amman, Jordan
| | - David Onchonga
- Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621, Vörösmartyutca 4, Pécs, Hungary
| | - Sahar Hammoud
- Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621, Vörösmartyutca 4, Pécs, Hungary
| | - Haitham Khatatbeh
- Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621, Vörösmartyutca 4, Pécs, Hungary
| | - Lu Zhang
- Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, 7621, Vörösmartyutca 4, Pécs, Hungary
| | - Imre Boncz
- Institute for Health Insurance, Faculty of Health Sciences, University of Pecs, Pécs, Hungary
| | - Szimonetta Lohner
- Cochrane Hungary, Clinical Center, Medical School, University of Pécs, Pécs, Hungary
| | - Bálint Molics
- Institute of Physiotherapy and Sport Science, Faculty of Health Sciences, University of Pecs, Pécs, Hungary
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Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, Davidovski D, Bussmann JBJ, Nigg CR, Reichert M, Ebner-Priemer UW, Woll A, von Haaren-Mack B. Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e36377. [PMID: 35679106 PMCID: PMC9227659 DOI: 10.2196/36377] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 12/13/2022] Open
Abstract
Background Wearable technology is a leading fitness trend in the growing commercial industry and an established method for collecting 24-hour physical behavior data in research studies. High-quality free-living validation studies are required to enable both researchers and consumers to make guided decisions on which study to rely on and which device to use. However, reviews focusing on the quality of free-living validation studies in adults are lacking. Objective This study aimed to raise researchers’ and consumers’ attention to the quality of published validation protocols while aiming to identify and compare specific consistencies or inconsistencies between protocols. We aimed to provide a comprehensive and historical overview of which wearable devices have been validated for which purpose and whether they show promise for use in further studies. Methods Peer-reviewed validation studies from electronic databases, as well as backward and forward citation searches (1970 to July 2021), with the following, required indicators were included: protocol must include real-life conditions, outcome must belong to one dimension of the 24-hour physical behavior construct (intensity, posture or activity type, and biological state), the protocol must include a criterion measure, and study results must be published in English-language journals. The risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool with 9 questions separated into 4 domains (patient selection or study design, index measure, criterion measure, and flow and time). Results Of the 13,285 unique search results, 222 (1.67%) articles were included. Most studies (153/237, 64.6%) validated an intensity measure outcome such as energy expenditure. However, only 19.8% (47/237) validated biological state and 15.6% (37/237) validated posture or activity-type outcomes. Across all studies, 163 different wearables were identified. Of these, 58.9% (96/163) were validated only once. ActiGraph GT3X/GT3X+ (36/163, 22.1%), Fitbit Flex (20/163, 12.3%), and ActivPAL (12/163, 7.4%) were used most often in the included studies. The percentage of participants meeting the quality criteria ranged from 38.8% (92/237) to 92.4% (219/237). On the basis of our classification tree to evaluate the overall study quality, 4.6% (11/237) of studies were classified as low risk. Furthermore, 16% (38/237) of studies were classified as having some concerns, and 72.9% (173/237) of studies were classified as high risk. Conclusions Overall, free-living validation studies of wearables are characterized by low methodological quality, large variability in design, and focus on intensity. Future research should strongly aim at biological state and posture or activity outcomes and strive for standardized protocols embedded in a validation framework. Standardized protocols for free-living validation embedded in a framework are urgently needed to inform and guide stakeholders (eg, manufacturers, scientists, and consumers) in selecting wearables for self-tracking purposes, applying wearables in health studies, and fostering innovation to achieve improved validity.
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Affiliation(s)
- Marco Giurgiu
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Irina Timm
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Marlissa Becker
- Unit Physiotherapy, Department of Orthopedics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Steffen Schmidt
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Kathrin Wunsch
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Rebecca Nissen
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Denis Davidovski
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Claudio R Nigg
- Health Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Markus Reichert
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Department of eHealth and Sports Analytics, Faculty of Sport Science, Ruhr-University Bochum, Bochum, Germany
| | - Ulrich W Ebner-Priemer
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Alexander Woll
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Birte von Haaren-Mack
- Department of Health and Social Psychology, Institute of Psychology, German Sport University, Cologne, Germany
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10
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Validity of the ActivPAL monitor to distinguish postures: A systematic review. Gait Posture 2022; 94:107-113. [PMID: 35276456 DOI: 10.1016/j.gaitpost.2022.03.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 02/13/2022] [Accepted: 03/03/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Posture has been recently integrated into activity guidelines, advising people to limit their sedentary time and break up sedentary postures with standing/stepping as much as possible. The thigh-worn activPAL is a frequently used objective measure of posture, but its validity has only been investigated by individual studies and has not been systematically reviewed. RESEARCH QUESTION Can the activPAL accurately characterize different postures? METHODS A rigorous systematic review protocol was conducted, including multiple study screeners and determiners of study quality. To be included, validation studies had to examine the accuracy of an activPAL posture outcome relative to a criterion measure (e.g., direct observation) in adults (>18 years). Citations were not restricted to language or date of publication. Sources were searched on May 16, 2021 and included Scopus, EMBASE, MEDLINE, CINAHL, and Academic Search Premier. The study was pre-registered in Prospero (ID# CRD42021248240). Study quality was determined using a modified Hagströmer Bowles checklist. The results are presented narratively. RESULTS Twenty-four studies (18 semi-structured laboratory arms, 8 uncontrolled protocol arms; 476 participants) met the inclusion criteria. Some studies (5/24) incorporated dual-monitor (trunk: 4/5; shin: 1/5) configurations. While heterogenous statistical procedures were implemented, most studies (n = 22/24) demonstrated a high validity (e.g., percent agreement >90%, no fixed bias, etc.) of the activPAL to measure sedentary and/or upright postures across semi-structured (17/18 arms) and uncontrolled study designs (7/8 arms). Specific experimental protocol factors (i.e., seat height, fidgeting, non-direct observation criterion comparator) likely explain the divergent reports that observed valid versus invalid findings. The study quality was 11.3 (standard deviation: 2.3) out of 19. CONCLUSION Despite heterogeneous methodological and statistical approaches, the included studies generally provide supporting evidence that the activPAL can accurately distinguish between sedentary and standing postures. Multiple activPAL monitor configurations (e.g., thigh and torso) are needed to better characterize sitting versus lying postures.
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11
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Gbadamosi AR, Griffiths BN, Clarke-Cornwell AM, Granat MH. Defining Continuous Walking Events in Free-Living Environments: Mind the Gap. SENSORS 2022; 22:s22051720. [PMID: 35270865 PMCID: PMC8914939 DOI: 10.3390/s22051720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/15/2022] [Accepted: 02/19/2022] [Indexed: 12/10/2022]
Abstract
In free-living environments, continuous walking can be challenging to achieve without encountering interruptions, making it difficult to define a continuous walking event. While limited research has been conducted to define a continuous walking event that accounts for interruptions, no method has considered the intensity change caused by these interruptions, which is crucial for achieving the associated health outcomes. A sample of 24 staff members at the University of Salford were recruited. The participants wore an accelerometer-based device (activPAL™) for seven days continuously and completed an activity diary, to explore a novel methodological approach of combining short interruptions of time between walking events based on an average walking cadence. The definition of moderate-to-vigorous physical activity (MVPA) used was a minimum walking cadence of either 76, 100, or 109 steps/min. The average daily time spent in MVPA increased from 75.2 ± 32.6 min to 86.5 ± 37.4 min using the 76 steps/min, 48.3 ± 29.5 min to 53.0 ± 33.3 min using the 100 steps/min threshold, and 31.4 ± 20.5 min to 33.9 ± 22.6 min using the 109 steps/min threshold; the difference before grouping and after grouping was statistically significant (p < 0.001). This novel method will enable future analyses of the associations between continuous walking and health-related outcomes.
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12
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Hendrickx W, Riveros C, Askim T, Bussmann JBJ, Callisaya ML, Chastin SFM, Dean C, Ezeugwu V, Jones TM, Kuys SS, Mahendran N, Manns PJ, Mead G, Moore SA, Paul L, Pisters MF, Saunders DH, Simpson DB, Tieges Z, Verschuren O, English C. An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis. J Neurol Phys Ther 2021; 45:221-227. [PMID: 33867457 DOI: 10.1097/npt.0000000000000357] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished? METHODS This was a secondary analysis of original accelerometry data from adults with stroke living in the community. We conducted data-driven clustering analyses to identify unique accumulation patterns of sedentary time across participants, followed by multinomial logistical regression to determine the association between the clusters, and the total amount of sedentary time, age, gender, body mass index (BMI), walking speed, and wake time. RESULTS Participants in the highest quartile of total sedentary time accumulated a significantly higher proportion of their sedentary time in prolonged bouts (P < 0.001). Six unique accumulation patterns were identified, all of which were characterized by high sedentary time. Total sedentary time, age, gender, BMI, and walking speed were significantly associated with the probability of a person being in a specific accumulation pattern cluster, P < 0.001 - P = 0.002. DISCUSSION AND CONCLUSIONS Although unique accumulation patterns were identified, there is not just one accumulation pattern for high sedentary time. This suggests that interventions to reduce sedentary time must be individually tailored.Video Abstract available for more insight from the authors (see the Video Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A343).
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Affiliation(s)
- Wendy Hendrickx
- Department of Rehabilitation, Physiotherapy Science & Sport, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands (W.H., M.F.P.); School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia (W.H., D.B.S., C.E.); Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, the Netherlands (W.H., M.F.P.); Bioinformatics, Hunter Medical Research Institute, and School of Medicine and Public Health, University of Newcastle, Newcastle, Australia (C.R.); Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway (T.A.); Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands (J.B.J.B.); Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia (M.L.C.); School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom (S.F.M.C., L.P., Z.T.); Department of Movement and Sports Sciences, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium (S.F.M.C.); Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia (C.D., T.M.J.); Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada (V.E., P.J.M.); National Head, School of Allied Health, Faculty of Health Sciences, Australian Catholic University, Brisbane, Australia (S.S.K.); Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australia (N.M.); Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (G.M.); Stroke Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom (S.A.M.); Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, the Netherlands (M.F.P.); Physical Activity for Health Research Centre, Institute for Sport, Physical Education and Health Sciences, University of Edinburgh, Edinburgh, United Kingdom (D.H.S.); Department of Geriatric Medicine, University of Edinburgh, United Kingdom (Z.T.); UMC Utrecht Brain Center, Center of Excellence for Rehabilitation Medicine, De Hoogstraat Rehabilitation, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands (O.V.); and Centre for Research Excellence in Stroke Recovery and Rehabilitation, Florey Institute of Neuroscience and Hunter Medical Research Institute, Newcastle, Australia (C.E.)
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13
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da Silva MMC, Arcuri JF, Di Lorenzo VAP. Individualized, low-cost and accessible pulmonary rehabilitation program based on functional clinical tests for individuals with COPD-a study protocol of a randomized controlled trial. Trials 2021; 22:367. [PMID: 34039406 PMCID: PMC8152053 DOI: 10.1186/s13063-021-05267-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 04/13/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) present pulmonary and extrapulmonary impairments. The strategies used to mitigate these impairments are pulmonary rehabilitation programs (PRP). However, there is limited access to PRP in specialized centers and the study of low-cost home rehabilitation programs had non-individualized prescription, which might have led to insignificant positive effects. So, it is important to develop new low-cost protocols that involve individualized prescription, as well as physiotherapist supervision. This study describes an accessible, low-cost, and individualized pulmonary rehabilitation protocol and compare its results when performed with or without a weekly physiotherapist-supervised session on patients with COPD. METHODS This is a descriptive protocol of a clinical trial, randomized, single-blinded, and type of framework is superiority conducted at the Spirometry and Respiratory Physical Therapy Laboratory of the Federal University of São Carlos (UFSCar). The trial is registered in the Brazilian Clinical Trials Registry (ReBec) URL: http://www.ensaiosclinicos.gov.br/rg/RBR-533hht/ with Register Number UTN code U1111-1220-8245. The sample size is 50 patients and is calculated using the results of a pilot study. DISCUSSION-POTENTIAL IMPACT AND SIGNIFICANCE OF THE STUDY It is expected that the low-cost and new supervised rehabilitation program complemented with home exercises will present positive results, especially on exercise capacity, which will make available a more accessible and effective PRP for patients with COPD. TRIAL REGISTRATION ClinicalTrials.gov U1111-1220-8245 . Registered on September 20, 2018.
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Affiliation(s)
- Marcela Maria Carvalho da Silva
- Postgraduate Physiotherapy Department of Federal University of São Carlos, Rodovia Washington Luiz, São Carlos, São Paulo, 13565-905, Brazil.
| | - Juliano Ferreira Arcuri
- Postgraduate Physiotherapy Department of Federal University of São Carlos, Rodovia Washington Luiz, São Carlos, São Paulo, 13565-905, Brazil
| | - Valéria Amorim Pires Di Lorenzo
- Postgraduate Physiotherapy Department of Federal University of São Carlos, Rodovia Washington Luiz, São Carlos, São Paulo, 13565-905, Brazil
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14
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Konopka MJ, Köhler S, Stehouwer CDA, Schaper NC, Henry RMA, van der Kallen CJH, Savelberg HHCM, Eussen SJPM, Dagniele PC, van Dongen MCJM, Schram MT, Koster A. Accelerometer-derived sedentary time and physical activity and the incidence of depressive symptoms - The Maastricht Study. Psychol Med 2020; 52:1-8. [PMID: 33336630 PMCID: PMC9647548 DOI: 10.1017/s0033291720004924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 08/17/2020] [Accepted: 11/25/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND This study examined the associations between accelerometer-derived sedentary time (ST), lower intensity physical activity (LPA), higher intensity physical activity (HPA) and the incidence of depressive symptoms over 4 years of follow-up. METHODS We included 2082 participants from The Maastricht Study (mean ± s.d. age 60.1 ± 8.0 years; 51.2% men) without depressive symptoms at baseline. ST, LPA and HPA were measured with the ActivPAL3 activity monitor. Depressive symptoms were measured annually over 4 years of follow-up with the 9-item Patient Health Questionnaire (PHQ-9). Cox regression analysis was performed to examine the associations between ST, LPA, HPA and incident depressive symptoms (PHQ-9 ⩾ 10). Analyses were adjusted for total waking time per day, age, sex, education level, type 2 diabetes mellitus, body mass index, total energy intake, smoking status and alcohol use. RESULTS During 7812.81 person-years of follow-up, 203 (9.8%) participants developed incident depressive symptoms. No significant associations [Hazard Ratio (95% confidence interval)] were found between sex-specific tertiles of ST (lowest v. highest tertile) [1.13 (0.76-1.66], or HPA (highest v. lowest tertile) [1.14 (0.78-1.69)] and incident depressive symptoms. LPA (highest v. lowest tertile) was statistically significantly associated with incident depressive symptoms in women [1.98 (1.19-3.29)], but not in men (p-interaction <0.01). CONCLUSIONS We did not observe an association between ST or HPA and incident depressive symptoms. Lower levels of daily LPA were associated with an increased risk of incident depressive symptoms in women. Future research is needed to investigate accelerometer-derived measured physical activity and ST with incident depressive symptoms, preferably stratified by sex.
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Affiliation(s)
- Magdalena J. Konopka
- Department of Social Medicine, Maastricht University, The Netherlands
- School for Public Health and Primary Care (CAPHRI), Maastricht University, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology and School for Mental Health and Neuroscience (MHeNS), Maastricht University, The Netherlands
| | - Coen D. A. Stehouwer
- Department of Internal Medicine, Maastricht University Medical Centre, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
| | - Nicolaas C. Schaper
- School for Public Health and Primary Care (CAPHRI), Maastricht University, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
| | - Ronald M. A. Henry
- Department of Internal Medicine, Maastricht University Medical Centre, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
- Heart and Vascular Centre, Maastricht University Medical Centre (MUMC+), The Netherlands
| | - Carla J. H. van der Kallen
- Department of Internal Medicine, Maastricht University Medical Centre, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
| | | | - Simone J. P. M. Eussen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
- Department of Epidemiology, Maastricht University, The Netherlands
| | - Pieter C. Dagniele
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
- Department of Epidemiology, Maastricht University, The Netherlands
| | - Martien C. J. M. van Dongen
- School for Public Health and Primary Care (CAPHRI), Maastricht University, The Netherlands
- Department of Epidemiology, Maastricht University, The Netherlands
| | - Miranda T. Schram
- Department of Psychiatry and Neuropsychology and School for Mental Health and Neuroscience (MHeNS), Maastricht University, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Centre, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, The Netherlands
- Heart and Vascular Centre, Maastricht University Medical Centre (MUMC+), The Netherlands
| | - Annemarie Koster
- Department of Social Medicine, Maastricht University, The Netherlands
- School for Public Health and Primary Care (CAPHRI), Maastricht University, The Netherlands
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15
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SHAJRAWI A, GRANAT M, JONES I, ASTIN F. Physical Activity and Cardiac Self-Efficacy Levels During Early Recovery After Acute Myocardial Infarction: A Jordanian Study. J Nurs Res 2020; 29:e131. [PMID: 33136697 PMCID: PMC7808357 DOI: 10.1097/jnr.0000000000000408] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Regular physical activity is important for patients with established coronary heart disease as it favorably influences their coronary risk profile. General self-efficacy is a powerful predictor of health behavior change that involves increases in physical activity levels. Few studies have simultaneously measured physical activity and self-efficacy during early recovery after a first acute myocardial infarction (AMI). PURPOSE The aims of this study were to assess changes in objectively measured physical activity levels at 2 weeks (T2) and 6 weeks (T3) and self-reported cardiac self-efficacy at hospital discharge (T1) and at T2 and T3 in patients recovering from AMI. METHODS A repeated-measures design was used to recruit a purposive sample of patients from a single center in Jordan who were diagnosed with first AMI and who did not have access to cardiac rehabilitation. A body-worn activity monitor (activPAL) was used to objectively measure free-living physical activity levels for 7 consecutive days at two time points (T2 and T3). An Arabic version of the cardiac self-efficacy scale was administered at T1, T2, and T3. Paired t tests and analysis of variance were used to examine differences in physical activity levels and cardiac self-efficacy scores, respectively. RESULTS A sample of 100 participants was recruited, of which 62% were male. The mean age of the sample was 54.5 ± 9.9 years. No statistically significant difference in physical activity levels was measured at 2 weeks (T2) and 6 weeks (T3). Cardiac self-efficacy scores improved significantly between T1, T2, and T3 across subscales and global cardiac self-efficacy. CONCLUSIONS/IMPLICATIONS FOR PRACTICE Participants recovering from AMI in Jordan did not increase their physical activity levels during the early recovery phase, although cardiac self-efficacy scores improved. This may be because the increase in cardiac self-efficacy was not matched by the practical skills and knowledge required to translate this positive psychological construct into behavioral change. This study provides a first step toward understanding the complex relationship between cardiac self-efficacy and physical activity in this population. The authors hope that these findings support the design of culturally appropriate interventions to increase physical activity levels in this population.
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Affiliation(s)
- Abedalmajeed SHAJRAWI
- PhD, RN, Assistant Professor, Faculty of Nursing, Applied Science Private University, Amman, Jordan
| | - Malcolm GRANAT
- PhD, Professor, Health and Rehabilitation Sciences, School of Health Sciences, University of Salford, Manchester, UK
| | - Ian JONES
- PhD, RN, Professor, School of Nursing and Allied Health, Liverpool John Moores University, UK
| | - Felicity ASTIN
- PhD, RN, Professor, Centre for Applied Research in Health, University of Huddersfield; and Research and Development, Huddersfield Royal Infirmary, Acre Street, Huddersfield, UK
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Rey-Barth S, Eychenne C, Rolland C, Pinsault N, Bosson JL. Use of a smart electrically assisted bicycle (VELIS) in the health field -Proof of concept. Med Eng Phys 2020; 81:125-129. [PMID: 32473841 DOI: 10.1016/j.medengphy.2020.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 12/19/2019] [Accepted: 04/05/2020] [Indexed: 11/27/2022]
Abstract
Physical activity (PA) is highly recommended in the management of most chronic diseases. For these patients, the smart electric bicycle can be effective to improve adherence to this behavior. The E-bike used in this study (called VELIS) has an innovative onboard technology that allows for subject monitoring and the engine power is designed to adapt to the user's abilities. A prerequisite for the use of the VELIS with patients is to initially carry out a pilot study on healthy subjects. The objective was to evaluate the impact of the customizable settings on physiological parameters and to ensure this prototype's efficiency and safety of use. Twelve healthy participants with various profiles (physical condition, used to cycling or not) were included. They have completed four times a 14 km itinerary with various settings of the VELIS. We recorded GPS data, heart rate and perceived exertion. Based on exercise intensity, we confirm that riding an E-bike should be considered as a physical activity. Safety of the participants is ensured by the engine brake. Recordings show that it took between 1 and 3 min for the novice to become familiar with the VELIS and to get optimal assistance. The main finding of this pilot study confirms that VELIS is an easy to use and secure tool to make PA approachable, whatever the level of training in healthy subjects.
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Affiliation(s)
- S Rey-Barth
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, 38000 Grenoble, France.
| | - C Eychenne
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, 38000 Grenoble, France
| | - C Rolland
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, 38000 Grenoble, France
| | - N Pinsault
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, 38000 Grenoble, France
| | - J L Bosson
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, 38000 Grenoble, France
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Mayo NE, Mate KK, Reid R, Duquette P, Lapierre Y, Barclay R, Bayley M, Bartlett S, Andersen R. Participation in and outcomes from a 12-month tailored exercise programme for people with multiple sclerosis (MSTEP©): a randomized trial. Clin Rehabil 2020; 34:927-937. [PMID: 32438828 DOI: 10.1177/0269215520923089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To estimate, among people with multiple sclerosis, the extent to which a personally tailored exercise programme (MSTEP©) resulted in greater improvements in exercise capacity and related outcomes over 12 months in comparison with general exercise guidelines. DESIGN Two-group randomized trial. SUBJECTS Ambulatory and sedentary. INTERVENTIONS MSTEP©, a personally adapted exercise regimen done on most days including two days of high intensity exercise; guidelines recommending 30 minutes of moderate intensity aerobic and strength training two times per week. MAIN MEASURES Primary outcome was peak oxygen consumption (VO2peak) at 12 months; secondary outcomes were composite measures of physical function, fatigue, and health-related quality of life. RESULTS In total, 137 people were randomized, 66 were lost over 12 months leaving 71 with outcome data, 34 in MSTEP© group, and 37 in the Guideline group. Exercise enjoyment and confidence and exercise-induced fatigue predicted retention. There were no differences between groups on the proportion making a 10% increase in VO2peak (27.1% MSTEP© vs 29.6% Guidelines; OR: 0.83; 95% CI: 0.23-3.08) by the 12 month assessment. The effect on fatigue was larger in the MSTEP© group than the Guideline groups (OR: 1.59; 95% CI: 0.93-2.74), the effect on physical function was more modest (OR: 1.35; 95% CI: 0.80-2.25), and null for health-related quality of life outcomes. CONCLUSIONS The disappointing exercise retention suggests that people with multiple sclerosis may not consider exercise important to their brain health. Either type of exercise resulted in stable exercise capacity over 1 year in those sticking with the programme.
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Affiliation(s)
- Nancy E Mayo
- Center for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, QC, Canada.,School of Physical and Occupational Therapy, Division of Clinical Epidemiology, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Kedar Kv Mate
- Center for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Ryan Reid
- Human Kinetics Department, St Francis Xavier University, Antigonish, NS, Canada
| | - Pierre Duquette
- Départment de Neurologie, Faculté de Médecine, Université de Montréal, Montreal, QC, Canada
| | - Yves Lapierre
- Montreal Neurological Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Ruth Barclay
- College of Rehabilitation Sciences, Rady Faculty of Health Sciences, Department of Physical Therapy, University of Manitoba, Winnipeg, MA, Canada
| | - Mark Bayley
- Toronto Rehabilitation Center, University Health Network, Toronto, ON, Canada
| | - Susan Bartlett
- Division of Clinical Epidemiology, Department of Medicine, Center for Outcomes Research and Evaluation, Research Institute of McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Ross Andersen
- Department of Kinesiology and Physical Education, McGill University, Montreal, QC, Canada
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18
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Kinnear FJ, Hamilton-Shield JP, Stensel DJ, Bayly G, Searle A, Thackray AE, Lithander FE. Nutrition and physical activity intervention for families with familial hypercholesterolaemia: protocol for a pilot randomised controlled feasibility study. Pilot Feasibility Stud 2020; 6:42. [PMID: 32266080 PMCID: PMC7115059 DOI: 10.1186/s40814-020-00584-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 03/11/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Untreated heterozygous familial hypercholesterolaemia (FH) causes high low-density lipoprotein cholesterol (LDL-C) levels and increased cardiovascular disease (CVD) risk. Despite pharmacological treatment, many treated individuals remain at higher CVD risk than non-affected individuals. This may be due to LDL-C targets not being met and presence of other CVD risk factors. Adhering to dietary and physical activity (PA) recommendations developed for individuals with FH may further reduce CVD risk. However, there is insufficient research to support the efficacy of adhering to these guidelines on LDL-C and other CVD risk factors. The need for studies to investigate the effectiveness of nutrition and PA interventions in the FH population has been widely recognised and recommended. This paper describes the protocol of a pilot, randomised controlled trial designed to evaluate the feasibility and acceptability of a specifically developed nutrition and PA intervention aimed at improving the dietary intakes and PA levels of families with FH. METHODS A two-arm randomised waitlist-controlled pilot trial will be conducted across three National Health Service (NHS) sites in England, UK. Twenty-four young people with FH, aged 10-18 years, and their affected parent, will be recruited and randomly assigned to the intervention or waitlist and usual care control. The primary aim is to provide evidence for the feasibility and acceptability of delivering the intervention, explored quantitatively (rates of recruitment, retention and outcome measure completeness) and qualitatively (qualitative interviews). The secondary aim is to provide evidence for the potential efficacy of the intervention on dietary intake, PA, sedentary time, body composition, CVD risk factors and quality of life determined at baseline and endpoint assessments. The intervention will involve an hour-long consultation with a dietitian at baseline and four follow-up contacts across the 12-week intervention. It has been specifically developed for use with individuals with FH and incorporates behavioural change techniques to target identified enablers and barriers to adherence in this population. DISCUSSION This trial will estimate the feasibility and acceptability of the nutrition and PA intervention delivered to young people and parents with FH. If appropriate, this study can be used to inform the design of an adequately powered definitive trial. TRIAL REGISTRATION ISRCTN, ISRCTN24880714. Registered 07/06/2018, http://www.isrctn.com/ISRCTN24880714.
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Affiliation(s)
- Fiona J. Kinnear
- NIHR Bristol Biomedical Research Centre (Nutrition Theme), University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Julian P. Hamilton-Shield
- NIHR Bristol Biomedical Research Centre (Nutrition Theme), University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - David J. Stensel
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Epinal Way, Loughborough, UK
- University Hospitals of Leicester NHS Trust, Infirmary Square, Leicester, UK
| | - Graham Bayly
- Department of Clinical Biochemistry, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Aidan Searle
- NIHR Bristol Biomedical Research Centre (Nutrition Theme), University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Alice E. Thackray
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Epinal Way, Loughborough, UK
- University Hospitals of Leicester NHS Trust, Infirmary Square, Leicester, UK
| | - Fiona E. Lithander
- NIHR Bristol Biomedical Research Centre (Nutrition Theme), University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
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Impacts of Treatment Modalities on Physical Activity After First Acute Myocardial Infarction in Jordan. Dimens Crit Care Nurs 2020; 38:284-292. [PMID: 31593066 DOI: 10.1097/dcc.0000000000000382] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Promoting physical activity is a priority after coronary revascularisation for effective long-term cardiovascular care and to avoid further disease progression and complications. But little is known about the effect of different types of acute myocardial infarction (AMI) treatment modalities in changes in physical activity level post-AMI. OBJECTIVE This study aimed to examine changes in physical activity among patients treated with different treatment modalities post-first AMI during early recovery phase at week 2 (time 1) and week 6 (Time 2) after hospitalization. METHODS A descriptive study was done using a repeated-measures design. Physical activity was measured by a body-worn activity monitor (activPAL3 monitor) for 24 hours a day for full 7 consecutive days at time 1 and time 2 after hospitalization. Demographic and clinical data were collected from patients' records. The study was conducted in 1 setting in Jordan. Participants were met at time 1 and time 2. The study recruited a convenience sample of 94 patients with AMI. Participants did not have access to cardiac rehabilitation. The participants were categorized according to type of AMI treatment modalities into 3 groups: ST-elevation myocardial infarction treated by primary percutaneous coronary intervention, ST-elevation myocardial infarction treated by thrombolytic therapy, and non-ST-elevation myocardial infarction treated by medication. RESULTS Patients treated by primary percutaneous coronary intervention had a statistically significant effect on changes in mean steps count and mean stepping time per day better than patients treated by other treatment modalities between weeks 2 and 6 after hospitalization. CONCLUSION The study showed that patients treated with primary percutaneous coronary intervention had better mean steps count and mean stepping time per day between weeks 2 and 6 after hospitalization in comparison with other treatment modalities. These findings could be used for development of effective intervention in the future. Further research using different research methods such as longitudinal studies among different cultures to confirm the finding of this study is recommended.
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20
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Acute Hospital Admission for Stroke Is Characterised by Inactivity. Stroke Res Treat 2020. [DOI: 10.1155/2020/5879295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background. Measuring physical activity behaviours of stroke survivors in the inpatient setting is challenging. Authors of observational studies of early poststroke report that stroke survivors are “inactive and alone”. Using activity monitoring devices may help refine clinical practice and inform therapeutic activity targets. Aim. To measure the physical activity behaviour of stroke survivors during acute inpatient hospitalisation. We hypothesized that greater levels of inactivity would be positively associated with stroke severity and age. Method. Using a cross-sectional study design, consecutive stroke patients admitted to an acute stroke unit (Geelong, Australia) and recruited within 48 hours of admission had their physical activity recorded using an ActivPAL™ accelerometer device over a minimum of 3 days. Activity was categorised as time spent inactive (lying or sitting), standing, or stepping. The number of steps per day was recorded. Demographic and ActivPal™ data are described. Results. Seventy-eight stroke survivors were recruited of whom 54 had complete data for 3 days, all starting within 2 days poststroke. Of the 54 participants, 32 had a mild stroke, 17 moderate, and five severe stroke. Nine were able to walk independently at admission. The median age was 82.5 years (interquartile range (IQR) 74-86), 26 were female. On average, during their inpatient stay, participants spent a median of 98% of their admission inactive. A median of 18 minutes per day was spent standing and less than a minute per day was spent walking amounting to a median of 169 steps taken per day. Conclusion. The ActivePal™ device was feasible to use in an acute stroke setting. We observed high levels of inactivity in the first days post-stroke, highlighting the ongoing challenge of promoting activity in the acute stroke period. To our knowledge, this is the largest study to provide objective data on time spent upright, walking, and sedentary using accelerometer data in an acute stroke setting.
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21
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Lee LF, Dall PM. Concurrent agreement between ActiGraphⓇ and activPALⓇ in measuring moderate to vigorous intensity physical activity for adults. Med Eng Phys 2019; 74:82-88. [DOI: 10.1016/j.medengphy.2019.09.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 05/17/2019] [Accepted: 09/20/2019] [Indexed: 12/31/2022]
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22
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Mikkelsen LR, Madsen MN, Rathleff MS, Thorborg K, Rossen CB, Kallemose T, Bandholm T. Pragmatic Home-Based Exercise after Total Hip Arthroplasty - Silkeborg: Protocol for a prospective cohort study (PHETHAS-1). F1000Res 2019; 8:965. [PMID: 31448107 PMCID: PMC6694449 DOI: 10.12688/f1000research.19570.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/09/2019] [Indexed: 11/20/2022] Open
Abstract
Introduction: Rehabilitation exercises are offered to patients after total hip arthroplasty (THA); however, the effectiveness and optimal type and dose of exercise remains unknown. The primary objective of this trial is to indicate the preliminary efficacy of home-based rehabilitation using elastic band exercise on performance-based function after THA, based on the relationship between the performed exercise dose and the change in performance-based function (gait speed) from 3 (start of intervention) to 10 weeks (end of intervention) after surgery. The secondary objective is to investigate if a dose-response relationship exists between the performed exercise dose and changes in: hip-related disability, lower-extremity functional performance, and hip muscle strength Methods: In this prospective cohort study, patients scheduled for THA will be consecutively included until 88 have completed the intervention period from 3 to 10 weeks postoperatively. Participants perform the standard rehabilitation program with elastic band exercises. Exercise dose (exposure) will be objectively quantified using a sensor attached to the elastic band. The primary outcome is gait speed measured by the 40-m fast-paced walk test. Secondary outcomes include: patient reported hip disability (Hip disability and Osteoarthritis Outcome Score (HOOS)), hip muscle strength (hand-held dynamometry) and lower extremity function (30-s chair stand test). Discussion: This trial will add knowledge concerning the relationship between performed exercise dose and post-operative outcomes after THA. The protocol paper describes the study design and methods in detail, including the statistical analysis plan. Trial registration: Pre-registered on March 27, 2017 at ClinicalTrails.gov (ID: NCT03109821).
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Affiliation(s)
- Lone Ramer Mikkelsen
- Elective Surgery Centre, Silkeborg Regional Hospital, Silkeborg, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Michael Skovdal Rathleff
- Center for General Practice, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Kristian Thorborg
- Sports Orthopedic Research Center-Copenhagen, Department of Orthopaedic Surgery, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark.,Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Department of Occupational and Physical Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
| | | | - Thomas Kallemose
- Clinical Research Centre, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
| | - Thomas Bandholm
- Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Department of Occupational and Physical Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark.,Clinical Research Centre, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark.,Department of Physical and Occupational Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
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23
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Anderson J, Granat MH, Williams AE, Nester C. Exploring occupational standing activities using accelerometer-based activity monitoring. ERGONOMICS 2019; 62:1055-1065. [PMID: 31058582 DOI: 10.1080/00140139.2019.1615640] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 04/29/2019] [Indexed: 06/09/2023]
Abstract
Prolonged standing at work is required by an estimated 60% of the employed population and is associated with a high prevalence of musculoskeletal disorders. 'Standing' is expected to encompass a range of activities of varying intensity. This study aimed to define a range of 'standing' work-based activities; and objectively explore differences between 'standing' occupations. The following movements were defined using a triaxial accelerometer (ActivPAL) through recordings of known movements (n = 11): static standing, weight-shifting, shuffling, walking and sitting. Movements over a working day were defined for chefs (n = 10), veterinary surgeons (n = 7) and office workers (n = 9). Despite veterinary surgeons and chefs spending a similar time in an upright posture, veterinary surgeons spent 62% of this time standing statically whereas chefs split their time between all the movements. Overall, this study provides the first attempt to define 'standing' activities, allowing the differentiation of activities between occupations spending similar periods of time upright. Practitioner Summary: This study identified a range of work-based 'standing' activities of varying intensity. Differences in activity were recorded between two occupations spending a similar time in an upright posture (veterinary surgeons and chefs). A broader definition of standing activities could be important when considering factors related to musculoskeletal disorders at work.
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Affiliation(s)
- Jennifer Anderson
- a School of Health Sciences , University of Salford , Salford , United Kingdom
| | - Malcolm H Granat
- a School of Health Sciences , University of Salford , Salford , United Kingdom
| | - Anita E Williams
- a School of Health Sciences , University of Salford , Salford , United Kingdom
| | - Christopher Nester
- a School of Health Sciences , University of Salford , Salford , United Kingdom
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24
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LASLOVICH STEVE, ALVAR BRENTA, ALLISON MATTHEW, RAUH MITCHELLJ. Effects of Lifestyle Physical Activity on Vascular Function in Asymptomatic Peripheral Arterial Disease. Med Sci Sports Exerc 2019; 52:8-15. [DOI: 10.1249/mss.0000000000002109] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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25
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Boudet G, Chausse P, Thivel D, Rousset S, Mermillod M, Baker JS, Parreira LM, Esquirol Y, Duclos M, Dutheil F. How to Measure Sedentary Behavior at Work? Front Public Health 2019; 7:167. [PMID: 31355172 PMCID: PMC6633074 DOI: 10.3389/fpubh.2019.00167] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 06/05/2019] [Indexed: 12/23/2022] Open
Abstract
Background: Prolonged sedentary behavior (SB) is associated with increased risk for chronic conditions. A growing number of the workforce is employed in office setting with high occupational exposure to SB. There is a new focus in assessing, understanding and reducing SB in the workplace. There are many subjective (questionnaires) and objective methods (monitoring with wearable devices) available to determine SB. Therefore, we aimed to provide a global understanding on methods currently used for SB assessment at work. Methods: We carried out a systematic review on methods to measure SB at work. Pubmed, Cochrane, Embase, and Web of Science were searched for peer-reviewed English-language articles published between 1st January 2000 and 17th March 2019. Results: We included 154 articles: 89 were cross-sectional and 65 were longitudinal studies, for a total of 474,091 participants. SB was assessed by self-reported questionnaires in 91 studies, by wearables devices in also 91 studies, and simultaneously by a questionnaire and wearables devices in 30 studies. Among the 91 studies using wearable devices, 73 studies used only one device, 15 studies used several devices, and three studies used complex physiological systems. Studies exploring SB on a large sample used significantly more only questionnaires and/or one wearable device. Conclusions: Available questionnaires are the most accessible method for studies on large population with a limited budget. For smaller groups, SB at work can be objectively measured with wearable devices (accelerometers, heart-rate monitors, pressure meters, goniometers, electromyography meters, gas-meters) and the results can be associated and compared with a subjective measure (questionnaire). The number of devices worn can increase the accuracy but make the analysis more complex and time consuming.
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Affiliation(s)
- Gil Boudet
- Faculté de Médecine, Institut de Médecine du Travail, Université Clermont-Auvergne, Clermont-Ferrand, France
| | - Pierre Chausse
- Cellule d'Accompagnement Technologique-Department of Technological Accompaniment, CNRS, LaPSCo, Université Clermont Auvergne, Clermont-Ferrand, France
| | - David Thivel
- Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions (AME2P EA 3533), Université Clermont Auvergne, Clermont-Ferrand, France.,Institut Universitaire de France, Paris, France
| | - Sylvie Rousset
- Unité de Nutrition Humaine, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Martial Mermillod
- Institut Universitaire de France, Paris, France.,LPNC, CNRS, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
| | - Julien S Baker
- School of Science and Sport, Institute of Clinical Exercise and Health Sciences, University of the West of Scotland, Hamilton, United Kingdom
| | - Lenise M Parreira
- Faculté de Médecine, Institut de Médecine du Travail, Université Clermont-Auvergne, Clermont-Ferrand, France
| | - Yolande Esquirol
- Occupational and Preventive Medicine, INSERM UMR-1027, Université Paul Sabatier Toulouse 3, CHU Toulouse, Toulouse, France
| | - Martine Duclos
- Sport Medicine and Functional Explorations, CRNH, INRA UMR-1019, University Hospital of Clermont-Ferrand, Université Clermont Auvergne, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Frédéric Dutheil
- LaPSCo, Physiological and Psychosocial Stress, Preventive and Occupational Medicine, CNRS, University Hospital of Clermont-Ferrand, Université Clermont Auvergne, CHU Clermont-Ferrand, WittyFit, Clermont-Ferrand, France.,Faculty of Health, School of Exercise Science, Australian Catholic University, Melbourne, VIC, Australia
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26
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Resendiz M, Lustik MB, Conkright WR, West GF. Standing desks for sedentary occupations: Assessing changes in satisfaction and health outcomes after six months of use. Work 2019; 63:347-353. [PMID: 31256104 DOI: 10.3233/wor-192940] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Standing desks are a low cost option for the reduction of sedentary behavior. OBJECTIVE This study evaluated changes in utility and health outcomes during a standing desk intervention. METHODS Thirty-five participants (BMI >25) who reported sitting an average of≥six hours per workday were recruited. Participants were randomized into a control or intervention group. Eleven were enrolled in the control group and 24 in the intervention group. Participants in the intervention group were outfitted with an adjustable standing desktop accessory while participants in the control group maintained a standard work desk. Self-reported and objective measures of sedentary time during an eight hour workday were captured for a baseline and intervention period. Changes in health outcomes and workplace satisfaction were assessed after six months. RESULTS Self-recorded sedentary behavior decreased by 25% after six months though no changes in health outcomes were observed. Subjective assessments of standing time were over-estimated by 10% (compared to accelerometer recordings) in the intervention group. The intervention group reported higher levels of satisfaction with comfort, customizability, and overall personal workplace. CONCLUSIONS Despite a decrease in sedentary behavior, no changes in health outcomes occurred after a six month intervention. Future studies should incorporate objective measures of diet and physical activity to assess compensatory behaviors that may offset sedentary reduction. More sensitive health outcome measures should also be considered.
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27
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Mikkelsen LR, Madsen MN, Rathleff MS, Thorborg K, Rossen CB, Kallemose T, Bandholm T. Pragmatic Home-Based Exercise after Total Hip Arthroplasty - Silkeborg: Protocol for a prospective cohort study (PHETHAS-1). F1000Res 2019; 8:965. [PMID: 31448107 PMCID: PMC6694449 DOI: 10.12688/f1000research.19570.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/09/2019] [Indexed: 07/20/2023] Open
Abstract
Introduction: Rehabilitation exercises are offered to patients after total hip arthroplasty (THA); however, the effectiveness and optimal type and dose of exercise remains unknown. The primary objective of this trial is to indicate the preliminary efficacy of home-based rehabilitation using elastic band exercise on performance-based function after THA, based on the relationship between the performed exercise dose and the change in performance-based function (gait speed) from 3 (start of intervention) to 10 weeks (end of intervention) after surgery. The secondary objective is to investigate if a dose-response relationship exists between the performed exercise dose and changes in: hip-related disability, lower-extremity functional performance, and hip muscle strength Methods: In this prospective cohort study, patients scheduled for THA will be consecutively included until 88 have completed the intervention period from 3 to 10 weeks postoperatively. Participants perform the standard rehabilitation program with elastic band exercises. Exercise dose (exposure) will be objectively quantified using a sensor attached to the elastic band. The primary outcome is gait speed measured by the 40-m fast-paced walk test. Secondary outcomes include: patient reported hip disability (Hip disability and Osteoarthritis Outcome Score (HOOS)), hip muscle strength (hand-held dynamometry) and lower extremity function (30-s chair stand test). Discussion: This trial will add knowledge concerning the relationship between performed exercise dose and post-operative outcomes after THA. The protocol paper describes the study design and methods in detail, including the statistical analysis plan. Trial registration: Pre-registered on March 27, 2017 at ClinicalTrails.gov (ID: NCT03109821).
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Affiliation(s)
- Lone Ramer Mikkelsen
- Elective Surgery Centre, Silkeborg Regional Hospital, Silkeborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Michael Skovdal Rathleff
- Center for General Practice, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Kristian Thorborg
- Sports Orthopedic Research Center-Copenhagen, Department of Orthopaedic Surgery, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
- Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Department of Occupational and Physical Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
| | | | - Thomas Kallemose
- Clinical Research Centre, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
| | - Thomas Bandholm
- Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Department of Occupational and Physical Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
- Clinical Research Centre, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
- Department of Physical and Occupational Therapy, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
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Abstract
Obesity can negatively influence walking cadence, reducing the overall intensity of daily activities and increasing the risk of weight gain. PURPOSE Objectively describe the walking cadence of individuals' long-term post-bariatric surgery. METHODS Fifty-eight participants, 51.2 ± 8.9 years old, with a BMI of 34.6 ± 10.1 kg/m2, 10.0 ± 3.1 years post-surgery wore an activPAL accelerometer for 7 consecutive days. Data was analyzed using participants' current BMI, dichotomized by obesity status, < or ≥ 30 kg/m2. RESULTS On average, participants walked 5124 ± 2549 steps/day on weekdays and 6097 ± 2786 steps/day on weekend days (p = .003). Participants spent the majority (75%) of their daily steps at a slow-walking average cadence (non-obese: week = 65.3 ± 5.0 steps/min and weekend = 63.8 ± 6.7 steps/min; obese: week = 67.8 ± 8.2 steps/min and weekend = 63.3 ± 6.9 steps/min), with no difference between groups for week or weekend days (p = .153 and .774). The cadence of participants with obesity was significantly lower on weekends compared to weekdays for walking events > 30 s (p = .002) and > 60 s (p = .008) in duration. Weekday cadence of participants without obesity was similar to weekend day cadence across all walking event durations. The majority of walking events occurred below 30 s in duration for all participants. CONCLUSIONS Long-term post-bariatric surgery, movement occurs in short duration bouts at a slow-walking cadence for the majority of movement. Individuals without obesity had similar movement patterns from week to weekend days while participants with obesity significantly lowered their cadence on weekend days.
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29
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Hendrickx W, Riveros C, Askim T, Bussmann JBJ, Callisaya ML, Chastin SFM, Dean CM, Ezeugwu VE, Jones TM, Kuys SS, Mahendran N, Manns TJ, Mead G, Moore SA, Paul L, Pisters MF, Saunders DH, Simpson DB, Tieges Z, Verschuren O, English C. Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies. Top Stroke Rehabil 2019; 26:327-334. [PMID: 31025908 DOI: 10.1080/10749357.2019.1601419] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses. Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.
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Affiliation(s)
- Wendy Hendrickx
- a Department of Rehablilitation, Physiotherapy Science & Sport, Brain Center Rudolf Magnus , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands.,b School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine , University of Newcastle , Newcastle , Australia.,c Center for Physical Therapy Research and Innovation in Primary Care , Julius Health Care Centers , Utrecht , The Netherlands
| | - Carlos Riveros
- d Bioinformatics , Hunter Medical Research Institute , Newcastle , Australia
| | - Torunn Askim
- e Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science , NTNU, Norwegian University of Science and Technology , Trondheim , Norway
| | - Johannes B J Bussmann
- f Department of Rehabilitation Medicine Erasmus , MC University Medical Center , Rotterdam , The Netherlands
| | - Michele L Callisaya
- g Menzies Institute for Medical Research , University of Tasmania , Hobart , Australia
| | - Sebastien F M Chastin
- h School of Health and Life Sciences , Glasgow Caledonian University , Glasgow , UK.,i Department of Movement and Sports Sciences, Faculty of Medicine and Health Science , Ghent University , Ghent , Belgium
| | - Catherine M Dean
- j Department of Health Professions, Faculty of Medicine and Health Sciences , Macquarie University , Sydney , Australia
| | - Victor E Ezeugwu
- k Faculty of Rehabilitation Medicine , University of Alberta , Edmonton , Canada
| | - Taryn M Jones
- j Department of Health Professions, Faculty of Medicine and Health Sciences , Macquarie University , Sydney , Australia
| | - Suzanne S Kuys
- l National Head, School of Physiotherapy , Faculty of Health Sciences Australian Catholic University , Brisbane , Australia
| | - Niruthikha Mahendran
- m Discipline of Physiotherapy, Faculty of Health , University of Canberra , Canberra , Australia
| | - Trish J Manns
- k Faculty of Rehabilitation Medicine , University of Alberta , Edmonton , Canada
| | - Gillian Mead
- n Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK
| | - Sarah A Moore
- o Stroke Research Group , Institute of Neuroscience and Newcastle University Institute for Ageing Newcastle University , UK
| | - Lorna Paul
- p School of Health and Life Sciences , Glasgow Caledonian University , Glasgow , UK
| | - Martijn F Pisters
- a Department of Rehablilitation, Physiotherapy Science & Sport, Brain Center Rudolf Magnus , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands.,c Center for Physical Therapy Research and Innovation in Primary Care , Julius Health Care Centers , Utrecht , The Netherlands
| | - David H Saunders
- q Physical Activity for Health Research Centre, Institute for Sport, Physical Education and Health Sciences , University of Edinburgh , Edinburgh , UK
| | - Dawn B Simpson
- g Menzies Institute for Medical Research , University of Tasmania , Hobart , Australia
| | - Zoë Tieges
- r Department of Geriatric Medicine , University of Edinburgh , Edinburgh , UK
| | - Olaf Verschuren
- s Brain Center Rudolf Magnus, Center of Excellence for Rehabilitation Medicine, De Hoogstraat Rehabilitation , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands
| | - Coralie English
- b School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, Faculty of Health and Medicine , University of Newcastle , Newcastle , Australia
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Sherman K, Roberts A, Murray K, Deans S, Jarvis H. Daily step count of British military males with bilateral lower limb amputations: A comparison of in-patient rehabilitation with the consecutive leave period between admissions. Prosthet Orthot Int 2019; 43:188-195. [PMID: 30375269 DOI: 10.1177/0309364618806058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND: Reduced function and health in individuals with lower limb amputation is well documented. Step count measurement could facilitate rehabilitation and help monitor functional health outcomes. OBJECTIVES: To determine whether mean daily step count changed between in-patient rehabilitation and consecutive leave periods. STUDY DESIGN: Observational study. METHODS: Nine individuals with bilateral traumatic amputations attending rehabilitation at the Defence Medical Rehabilitation Centre during a 4-month period were invited to participate in the study (two bilateral transfemoral, two bilateral transfemoral/knee disarticulation, two transfemoral/transtibial, one bilateral transfemoral plus transradial, one bilateral transfemoral plus transhumeral and one transfemoral/transtibial/transradial). Prostheses worn by each participant were fitted with an activity monitor (LAM2TM; PAL Technologies Ltd, Glasgow). Mean daily step count was analysed for each participant following 2 weeks in-patient rehabilitation and consecutive 2 weeks away from rehabilitation. RESULTS: Nine participants completed the study (time since injury: 19 ± 7 months, age: 26 ± 6 years). Mean daily step count significantly decreased from 2258 ± 192 during in-patient rehabilitation to 1387 ± 363 at home ( p < 0.01). CONCLUSION: The step count decreased when away from rehabilitation, confirming the hypothesis that the mean daily step count would change between in-patient rehabilitation and consecutive leave period. CLINICAL RELEVANCE These data provide an indication of the step count achievable by young, military male personnel with bilateral lower limb amputations and highlights differences between intensive in-patient rehabilitation and consecutive leave periods. It is suggested that further investigation and support of clinical monitoring could facilitate rehabilitation tailored to the individual.
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Affiliation(s)
- Kate Sherman
- 1 Defence Medical Rehabilitation Centre Stanford Hall, Loughborough, LE12 5BL, UK
| | - Andrew Roberts
- 1 Defence Medical Rehabilitation Centre Stanford Hall, Loughborough, LE12 5BL, UK
| | | | | | - Hannah Jarvis
- 3 Department of Exercise and Sport Science, Manchester Metropolitan University, Crewe, UK
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van der Berg JD, Stehouwer CDA, Bosma H, Caserotti P, Eiriksdottir G, Arnardottir NY, Van Domelen DR, Brychta RJ, Chen KY, Sveinsson T, Johannsson E, Launer LJ, Gudnason V, Jonsson PV, Harris TB, Koster A. Dynamic sitting: Measurement and associations with metabolic health. J Sports Sci 2019; 37:1746-1754. [PMID: 30929574 DOI: 10.1080/02640414.2019.1592800] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Dynamic sitting, such as fidgeting and desk work, might be associated with health, but remains difficult to identify out of accelerometry data. We examined, in a laboratory study, whether dynamic sitting can be identified out of triaxial activity counts. Among 18 participants (56% men, 27.3 ± 6.5 years), up to 236 counts per minute were recorded in the anteroposterior and mediolateral axes during dynamic sitting using a hip-worn accelerometer. Subsequently, we examined in 621 participants (38% men, 80.0 ± 4.7 years) from the AGES-Reykjavik Study whether dynamic sitting was associated with cardio-metabolic health. Compared to participants who recorded the fewest dynamic sitting minutes (Q1), those with more dynamic sitting minutes had a lower BMI (Q2 = -1.39 (95%CI = -2.33;-0.46); Q3 = -1.87 (-2.82;-0.92); Q4 = -3.38 (-4.32;-2.45)), a smaller waist circumference (Q2 = -2.95 (-5.44;-0.46); Q3 = -3.47 (-6.01;-0.93); Q4 = -8.21 (-10.72;-5.71)), and a lower odds for the metabolic syndrome (Q2 = 0.74 [0.45;1.20] Q3 = 0.58 [0.36;0.95]; Q4 = 0.36 [0.22;0.59]). Our findings suggest that dynamic sitting might be identified using accelerometry and that this behaviour was associated with health. This might be important given the large amounts of time people spend sitting. Future studies with a focus on validation, causation and physiological pathways are needed to further examine the possible relevance of dynamic sitting.
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Affiliation(s)
- Julianne D van der Berg
- a Department of Social Medicine/CAPHRI Care and Public Health Research Institute , Maastricht University , Maastricht , The Netherlands
| | - Coen D A Stehouwer
- b Department of Internal Medicine/CARIM School for Cardiovascular Diseases , Maastricht University Medical Centre , Maastricht , The Netherlands
| | - Hans Bosma
- a Department of Social Medicine/CAPHRI Care and Public Health Research Institute , Maastricht University , Maastricht , The Netherlands
| | - Paolo Caserotti
- c Institute of Sports Science and Clinical Biomechanics , University of Southern Denmark , Odense , Denmark
| | | | - Nanna Y Arnardottir
- d Icelandic Heart Association , Kopavogur , Iceland.,e Faculty of Education , University of Akureyri , Akureyri , Iceland
| | - Dane R Van Domelen
- f Department of Biostatistics and Bioinformatics , Rollins School of Public Health, Emory University , Atlanta , GA , USA
| | - Robert J Brychta
- g Diabetes Endocrinology and Obesity Branch , National Institute of Diabetes and Digestive and Kidney Diseases , Bethesda , MD , USA
| | - Kong Y Chen
- g Diabetes Endocrinology and Obesity Branch , National Institute of Diabetes and Digestive and Kidney Diseases , Bethesda , MD , USA
| | - Thorarinn Sveinsson
- h Research Centre of Movement Science , University of Iceland , Reykjavik , Iceland
| | - Erlingur Johannsson
- i Centre for Research in Sport and Health Sciences, School of Education , University of Iceland , 101 Reykjavik , Iceland.,j Department of Sport and Physical Activity , Western Norway University of Applied Sciences , Bergen , Norway
| | - Lenore J Launer
- k Laboratory of Epidemiology and Population Sciences, Intramural Research Program , National Institute on Aging , Bethesda , MD , USA
| | | | - Palmi V Jonsson
- l Faculty of Medicine , University of Iceland , Reykjavik , Iceland.,m Department of Geriatrics , Landspitali National University Hospital , Reykjavik , Iceland
| | - Tamara B Harris
- k Laboratory of Epidemiology and Population Sciences, Intramural Research Program , National Institute on Aging , Bethesda , MD , USA
| | - Annemarie Koster
- a Department of Social Medicine/CAPHRI Care and Public Health Research Institute , Maastricht University , Maastricht , The Netherlands
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Paing AC, McMillan KA, Kirk AF, Collier A, Hewitt A, Chastin SF. The associations of sedentary time and breaks in sedentary time with 24-hour glycaemic control in type 2 diabetes. Prev Med Rep 2018; 12:94-100. [PMID: 30214853 PMCID: PMC6134430 DOI: 10.1016/j.pmedr.2018.09.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 08/29/2018] [Accepted: 09/04/2018] [Indexed: 12/31/2022] Open
Abstract
The aim of this study was to investigate the associations of accelerometer-assessed sedentary time and breaks in sedentary time with 24-h events and duration of hypoglycaemia (<3.9 mmol/l), euglycaemia (3.9-7.8 mmol/l), hyperglycaemia (>7.8 mmol/l) and above target glucose (>9 mmol/l). Thirty-seven participants with type 2 diabetes (age, 62.8 ± 10.5 years; body mass index, 29.6 ± 6.8 kg/m2) in Glasgow, United Kingdom were enrolled between February 2016 and February 2017. Participants wore an activity monitor (activPAL3) recording the time and pattern of sedentary behaviour and a continuous glucose monitoring (CGM, Abbott FreeStyle Libre) for up to 14 days. Linear regression analyses were used to investigate the associations. Participants spent 3.7%, 64.7%, 32.1% and 19.2% of recording h/day in hypoglycaemia, euglycaemia, hyperglycaemia and above target, respectively. There was a negative association between sedentary time and time in euglycaemia (β = -0.44, 95% CI -0.86; -0.03, p = 0.04). There was a trend towards a positive association between sedentary time and time in hyperglycaemia (β = 0.36, 95% CI -0.05; 0.78, p = 0.08). Breaks in sedentary time was associated with higher time in euglycaemia (β = 0.38, 95% CI 0.00; 0.75, p = 0.04). To conclude, in individuals with type 2 diabetes, more time spent in unbroken and continuous sedentary behaviour was associated with poorer glucose control. Conversely, interrupting sedentary time with frequent breaks appears to improve glycaemic control. Therefore, this should be considered as a simple adjunct therapy to improve clinical outcomes in type 2 diabetes.
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Affiliation(s)
- Aye C. Paing
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Kathryn A. McMillan
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Alison F. Kirk
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Andrew Collier
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Allan Hewitt
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Sebastien F.M. Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Science, Ghent University, Ghent, Belgium
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Kuster RP, Huber M, Hirschi S, Siegl W, Baumgartner D, Hagströmer M, Grooten W. Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry. SENSORS 2018; 18:s18114010. [PMID: 30453605 PMCID: PMC6263709 DOI: 10.3390/s18114010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 11/06/2018] [Accepted: 11/15/2018] [Indexed: 01/18/2023]
Abstract
Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition.
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Affiliation(s)
- Roman P Kuster
- Division of Physiotherapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, 141 83 Stockholm, Sweden.
- Institute of Mechanical Systems, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.
| | - Mirco Huber
- Institute of Energy Systems and Fluid Engineering, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.
| | - Silas Hirschi
- Institute of Energy Systems and Fluid Engineering, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.
| | - Walter Siegl
- Institute of Energy Systems and Fluid Engineering, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.
| | - Daniel Baumgartner
- Institute of Mechanical Systems, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland.
| | - Maria Hagströmer
- Division of Physiotherapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, 141 83 Stockholm, Sweden.
- Function Area Occupational Therapy and Physiotherapy, Allied Health Professionals, Karolinska University Hospital, 141 86 Stockholm, Sweden.
| | - Wim Grooten
- Division of Physiotherapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, 141 83 Stockholm, Sweden.
- Function Area Occupational Therapy and Physiotherapy, Allied Health Professionals, Karolinska University Hospital, 141 86 Stockholm, Sweden.
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Breaking up Sedentary Time in Overweight/Obese Adults on Work Days and Non-Work Days: Results from a Feasibility Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15112566. [PMID: 30453553 PMCID: PMC6266976 DOI: 10.3390/ijerph15112566] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/12/2018] [Accepted: 11/14/2018] [Indexed: 01/10/2023]
Abstract
Office workers are vulnerable to the adverse health effects of sedentary behavior (i.e., sitting time). Increasing physical activity and preventing time spent sitting is an occupational health priority. This randomized crossover design study compared the short-term (3-days) effects of hourly interruptions of sedentary time with 5-min micrrobouts of activity for 9 hours (MICRO) to a sedentary control condition (SED) and a duration-matched continuous single bout of physical activity (45-min/d, ONE) condition on inclinometer-derived sitting-time on work and non-work days in sedentary overweight/obese adults. Differences in sitting/lying, standing, stepping, number of sit/stand transitions, time spent in moderate and vigorous activity (MVPA), energy expenditure, self-perceived vigor and fatigue, and insulin sensitivity were also examined. Twenty-two participants (10M/12F; 31.7 ± 1.3 year old BMI 30.4 ± 0.5 kg/m2) completed all conditions. No between-condition effects were observed in sitting-time and sit/stand transitions. Both interventions increased daily steps, MVPA and energy expenditure with increases being greater in ONE than MICRO. Feelings of vigor and fasting insulin sensitivity were also improved. Participants reported less fatigue with MICRO than SED and ONE. Both interventions increase physical activity and energy expenditure in occupational and leisure-time contexts. The sustainability of these effects over the long term and on health outcomes will need to be tested in future studies.
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Ensari I, Burg MM, Diaz KM, Fu J, Duran AT, Suls JM, Sumner JA, Monane R, Julian JE, Zhao S, Chaplin WF, Shimbo D. Putative mechanisms Underlying Myocardial infarction onset and Emotions (PUME): a randomised controlled study protocol. BMJ Open 2018; 8:e020525. [PMID: 29858417 PMCID: PMC5988091 DOI: 10.1136/bmjopen-2017-020525] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION The experience of negative emotions (eg, anger, anxiety and sadness) is associated with an increased short-term risk of incident cardiovascular disease (CVD) events, independent of traditional CVD risk factors. Impairment in endothelial function is one possible biological mechanism which may explain the association between negative emotions and incident CVD events. This laboratory-based, single-blind, randomised controlled experimental study aims to investigate the impact of induced negative emotions including anger, anxiety and sadness on endothelial function. METHODS AND ANALYSIS In a between-subjects design, 280 healthy participants are randomised to one of four experimental negative emotion inductions: anger, anxiety, sadness or a neutral condition. Endothelium-dependent vasodilation, circulating levels of endothelial cell-derived microparticles and bone marrow-derived endothelial progenitor cells, and indices of nitric oxide inhibition are assessed before and 3, 40, 70 and 100 min after negative emotion induction. Finally, in a subsample of 84 participants, the potential moderating effects of cardiorespiratory fitness and habitual physical activity on the adverse effects of an acute negative emotion on endothelial function are investigated. ETHICS AND DISSEMINATION This study is conducted in compliance with the Helsinki Declaration and the Columbia University Medical Center Institutional Review Board. The results of the study will be disseminated at several research conferences and as published articles in peer reviewed journals. The study will be implemented and reported in line with the SPIRIT statement. TRIAL REGISTRATION NUMBER NCT01909895; Pre-results.
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Affiliation(s)
- Ipek Ensari
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Matthew M Burg
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Keith M Diaz
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Jie Fu
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Andrea T Duran
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Jerry M Suls
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa, USA
| | - Jennifer A Sumner
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Rachel Monane
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Jacob E Julian
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | - Shuqing Zhao
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
| | | | - Daichi Shimbo
- Department of Medicine, Columbia University Medical Center, New York, New York, USA
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Dowd KP, Szeklicki R, Minetto MA, Murphy MH, Polito A, Ghigo E, van der Ploeg H, Ekelund U, Maciaszek J, Stemplewski R, Tomczak M, Donnelly AE. A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study. Int J Behav Nutr Phys Act 2018; 15:15. [PMID: 29422051 PMCID: PMC5806271 DOI: 10.1186/s12966-017-0636-2] [Citation(s) in RCA: 187] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 12/18/2017] [Indexed: 01/08/2023] Open
Abstract
The links between increased participation in Physical Activity (PA) and improvements in health are well established. As this body of evidence has grown, so too has the search for measures of PA with high levels of methodological effectiveness (i.e. validity, reliability and responsiveness to change). The aim of this “review of reviews” was to provide a comprehensive overview of the methodological effectiveness of currently employed measures of PA, to aid researchers in their selection of an appropriate tool. A total of 63 review articles were included in this review, and the original articles cited by these reviews were included in order to extract detailed information on methodological effectiveness. Self-report measures of PA have been most frequently examined for methodological effectiveness, with highly variable findings identified across a broad range of behaviours. The evidence-base for the methodological effectiveness of objective monitors, particularly accelerometers/activity monitors, is increasing, with lower levels of variability observed for validity and reliability when compared to subjective measures. Unfortunately, responsiveness to change across all measures and behaviours remains under-researched, with limited information available. Other criteria beyond methodological effectiveness often influence tool selection, including cost and feasibility. However, researchers must be aware of the methodological effectiveness of any measure selected for use when examining PA. Although no “perfect” tool for the examination of PA in adults exists, it is suggested that researchers aim to incorporate appropriate objective measures, specific to the behaviours of interests, when examining PA in free-living environments.
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Affiliation(s)
- Kieran P Dowd
- Department of Sport and Health Science, Athlone Institute of Technology, Athlone, Ireland
| | - Robert Szeklicki
- University School of Physical Education in Poznan, Poznan, Poland
| | - Marco Alessandro Minetto
- Division of Endocrinology, Diabetology and Metabolism, Department of Internal Medicine, University of Turin, Corso Dogliotti 14, 10126, Torino, Italy
| | - Marie H Murphy
- School of Health Science, University of Ulster, Newtownabbey, UK
| | - Angela Polito
- National Institute for Food and Nutrition Research, Rome, Italy
| | - Ezio Ghigo
- Division of Endocrinology, Diabetology and Metabolism, Department of Internal Medicine, University of Turin, Corso Dogliotti 14, 10126, Torino, Italy
| | - Hidde van der Ploeg
- Department of Public and Occupational Health, VU University Medical Center, EMGO Institute for Health and Care Research, Amsterdam, The Netherlands.,Sydney School of Public Health, University of Sydney, Sydney, Australia
| | - Ulf Ekelund
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, UK.,The Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Janusz Maciaszek
- University School of Physical Education in Poznan, Poznan, Poland
| | | | - Maciej Tomczak
- University School of Physical Education in Poznan, Poznan, Poland
| | - Alan E Donnelly
- Department of Physical Education and Sport Sciences, Health Research Institute, University of Limerick, Limerick, Ireland.
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Ostendorf DM, Lyden K, Pan Z, Wyatt HR, Hill JO, Melanson EL, Catenacci VA. Objectively Measured Physical Activity and Sedentary Behavior in Successful Weight Loss Maintainers. Obesity (Silver Spring) 2018; 26:53-60. [PMID: 29090513 PMCID: PMC5739988 DOI: 10.1002/oby.22052] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 09/22/2017] [Accepted: 09/25/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The objective of this study was to compare patterns of objectively measured moderate-to-vigorous physical activity (MVPA, ≥ 3.00 metabolic equivalents [METs]), light-intensity physical activity (LPA, 1.50-2.99 METs), and sedentary behavior (SB, < 1.50 METs) in successful weight loss maintainers (WLMs), normal weight controls (NC), and controls with overweight/obesity (OC). METHODS Participants (18-65 y) were recruited in three groups: WLM (maintaining ≥ 13.6-kg weight loss for ≥ 1 year, n = 30), NC (BMI matched to current BMI of WLM, n = 33), and OC (BMI matched to pre-weight loss BMI of WLM, n = 27). All participants wore the activPAL for 1 week. RESULTS Compared with OC and NC, WLM spent more awake time in total MVPA (WLM: 9.6 ± 3.9%, NC: 7.1 ± 2.1%, OC: 5.9 ± 2.0%; P < 0.01) and more time in sustained (≥ 10 min) bouts of MVPA (WLM: 39 ± 33, NC: 17 ± 14, OC: 9 ± 11 min/d; P < 0.01). Compared with OC, WLM and NC spent more awake time in LPA (WLM: 29.6 ± 7.9%, NC: 29.1 ± 8.3%, OC: 24.8 ± 6.7%; P = 0.04) and less awake time sedentary (WLM: 60.8 ± 9.3%, NC: 63.8 ± 9.5%, OC: 69.3 ± 7.5%; P < 0.01). CONCLUSIONS Results provide additional data supporting the important role of MVPA in weight loss maintenance and suggest notable differences in LPA and SB between normal weight individuals and those with overweight/obesity. Increasing LPA and/or decreasing SB may be additional potential targets for weight management interventions.
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Affiliation(s)
- Danielle M. Ostendorf
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora CO
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora CO
| | - Kate Lyden
- KAL Research & Consulting LLC, Denver, CO
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora CO
| | - Holly R. Wyatt
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora CO
| | - James O. Hill
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora CO
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora CO
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora CO
- Eastern Colorado VA Geriatric Research, Education, and Clinical Center, Denver CO
| | - Victoria A. Catenacci
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora CO
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora CO
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VAN DER Berg JD, VAN DER Velde JHPM, DE Waard EAC, Bosma H, Savelberg HHCM, Schaper NC, VAN DEN Bergh JPW, Geusens PPMM, Schram MT, Sep SJS, VAN DER Kallen CJH, Henry RMA, Dagnelie PC, Eussen SJPM, VAN Dongen MCJM, Köhler S, Kroon AA, Stehouwer CDA, Koster A. Replacement Effects of Sedentary Time on Metabolic Outcomes: The Maastricht Study. Med Sci Sports Exerc 2017; 49:1351-1358. [PMID: 28263284 DOI: 10.1249/mss.0000000000001248] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Sedentary time has been associated with detrimental health effects, so in some countries, guidelines to reduce sedentary time have been developed. As reducing sedentary time inevitably results in more nonsedentary time, effects of this reduction may depend on the activity with which it is replaced. PURPOSE This study aimed to examine associations of theoretical reallocations of sedentary time to standing or stepping with cardiometabolic outcomes and type 2 diabetes. METHODS We included 2213 participants (51% men, mean ± SD age = 60.0 ± 8.1 yr) of the Maastricht Study who were asked to wear an accelerometer 24 h·d for a week. We calculated daily sedentary, standing, and stepping time. An isotemporal substitution modeling approach was applied to examine effects on waist circumference; body mass index; cholesterol, triacylglycerol, glucose, and insulin levels; metabolic syndrome; and type 2 diabetes. RESULTS Replacement of sedentary time (30 min·d) with stepping was associated with lower odds for metabolic syndrome (odds ratio [OR] = 0.72, 95% confidence interval [CI] = 0.66-0.78) and type 2 diabetes (OR = 0.79, 95% CI = 0.72-0.87), more favorable waist circumference (B = -1.42, 95% CI = -1.78 to -1.06), and body mass index (B = -0.48, 95% CI = -0.62 to -0.35) and improved cholesterol, triacylglycerol, glucose, and insulin levels. Replacing sedentary time with standing was associated with lower odds for metabolic syndrome and type 2 diabetes and favorable outcomes in waist circumference, cholesterol, triacylglycerol, and insulin levels. CONCLUSION Theoretical replacements of sedentary time with nonsedentary time (both standing and stepping) were associated with lower odds for metabolic syndrome, type 2 diabetes, and beneficial metabolic outcomes. These results could be important for the general population, including those who cannot meet physical activity guidelines. Consideration should be given to developing recommendations for daily reallocating sedentary time.
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Affiliation(s)
- Julianne D VAN DER Berg
- 1Department of Social Medicine, Maastricht University, Maastricht, THE NETHERLANDS; 2CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, THE NETHERLANDS; 3Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, THE NETHERLANDS; 4Department of Human Movement Sciences, Maastricht University, Maastricht, THE NETHERLANDS; 5NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, THE NETHERLANDS; 6Department of Internal Medicine, Maastricht University Medical Center, Maastricht, THE NETHERLANDS; 7CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, THE NETHERLANDS; 8Biomedical Research Institute, University of Hasselt, Diepenbeek, BELGIUM; 9Department of Internal Medicine, VieCuri Medical Centre, Venlo, THE NETHERLANDS; 10Department of Epidemiology, Maastricht University, Maastricht, THE NETHERLANDS; 11Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, THE NETHERLANDS; and 12MHeNS School for Mental Health and Neuroscience, Maastricht University, Maastricht, THE NETHERLANDS
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Kurita S, Yano S, Ishii K, Shibata A, Sasai H, Nakata Y, Fukushima N, Inoue S, Tanaka S, Sugiyama T, Owen N, Oka K. Comparability of activity monitors used in Asian and Western-country studies for assessing free-living sedentary behaviour. PLoS One 2017; 12:e0186523. [PMID: 29045441 PMCID: PMC5646850 DOI: 10.1371/journal.pone.0186523] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Accepted: 10/03/2017] [Indexed: 11/18/2022] Open
Abstract
This study aims to compare the outputs of the waist-worn Active style Pro HJA-350IT (ASP; used in studies with Asian populations), the waist-worn ActiGragh™GT3X+ using the normal filter (GT3X+) and the thigh-worn activPAL3 (AP) in assessing adults' sedentary behaviour (total sedentary time, number of breaks) under free-living conditions. Fifty healthy workers wore the three monitors simultaneously during their waking hours on two days, including a work day and a non-work day. Valid data were at least 10 hours of wearing time, and the differences between monitors on the sedentary outputs using the AP as criterion measurement were analyzed by ANOVA. The number of participants who had complete valid data for work day and non-work day was 47 and 44, respectively. Total sedentary time and breaks estimated by the AP were respectively 466.5 ± 146.8 min and 64.3 ± 24.9 times on the work day and 497.7 ± 138.3 min and 44.6 ± 15.4 times on the non-work day. In total sedentary time, the ASP estimated 29.7 min (95%CI = 7.9 to 51.5) significantly shorter than the AP on the work day but showed no significant difference against the AP on the non-work day. The GT3X+ estimated 80.1 min (54.6 to 105.6) and 52.3 (26.4 to 78.2) significantly longer than the AP on the work day and the non-work day, respectively. For the number of breaks from sedentary time, on both days, the ASP and the GT3X+ estimated significantly more than the AP: 14.1 to 15.8 times (6.3 to 22.5) for the ASP and 27.7 to 28.8 times (21.8 to 34.8) for the GT3X+. Compared to the AP as the criterion, the ASP can underestimate total sedentary time and the GT3X+ can overestimate it, and more so at the lower levels of sedentary time. For breaks from sedentary time, compared to the AP, both the GT3X+ the ASP can overestimate.
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Affiliation(s)
- Satoshi Kurita
- Graduate School of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
- * E-mail:
| | - Shohei Yano
- Graduate School of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
| | - Kaori Ishii
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
| | - Ai Shibata
- Faculty Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hiroyuki Sasai
- Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Yoshio Nakata
- Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Noritoshi Fukushima
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan
| | - Shigeho Tanaka
- Department of Nutritional Sciences, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku-ku, Tokyo, Japan
| | - Takemi Sugiyama
- Institute for Health & Ageing, Australian Catholic University, Melbourne, Victoria, Australia
| | - Neville Owen
- Behavioural Epidemiology Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Victria, Australia
- Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan
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40
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Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPALTM Accurately Classifies Activity Intensity Categories in Healthy Adults. Med Sci Sports Exerc 2017; 49:1022-1028. [PMID: 28410327 DOI: 10.1249/mss.0000000000001177] [Citation(s) in RCA: 114] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The activPAL (AP) monitor is well established for distinguishing sitting, standing, and stepping time. However, its validity in predicting time in physical activity intensity categories in a free-living environment has not been determined. PURPOSE This study aimed to determine the validity of the AP in estimating time spent in sedentary, light, and moderate-to-vigorous physical activity (MVPA) in a free-living environment. METHODS Thirteen participants (mean ± SD age = 24.8 ± 5.2 yr, BMI = 23.8 ± 1.9 kg·m) were directly observed for three 10-h periods wearing an AP. A custom R program was developed and used to summarize detailed active and sedentary behavior variables from the AP. AP estimates were compared with direct observation. RESULTS The AP accurately and precisely estimated time in activity intensity categories (bias [95% confidence interval]; sedentary = 0.8 min [-2.9 to 4.5], light = 1.7 min [2.2-5.7], and -2.6 min [-5.8 to 0.7]). The overall accuracy rate for time in intensity categories was 96.2%. The AP also accurately estimated guideline minutes, guideline bouts, prolonged sitting minutes, and prolonged sitting bouts. CONCLUSION The AP can be used to accurately capture individualized estimates of active and sedentary behavior variables in free-living settings.
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Affiliation(s)
- Kate Lyden
- 1Department of Kinesiology, University of Massachusetts, Amherst, MA; and 2Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA
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41
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Lipperts M, van Laarhoven S, Senden R, Heyligers I, Grimm B. Clinical validation of a body-fixed 3D accelerometer and algorithm for activity monitoring in orthopaedic patients. J Orthop Translat 2017; 11:19-29. [PMID: 29662766 PMCID: PMC5866408 DOI: 10.1016/j.jot.2017.02.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/15/2017] [Accepted: 02/06/2017] [Indexed: 02/06/2023] Open
Abstract
Background/Objective Activity is increasingly being recognized as a highly relevant parameter in all areas of healthcare for diagnosis, treatment, or outcome assessment, especially in orthopaedics where the movement apparatus is directly affected. Therefore, the aim of this study was to develop, describe, and clinically validate a generic activity-monitoring algorithm, satisfying a combination of three criteria. The algorithm must be able to identify, count, and time a large set of relevant daily activities. It must be validated for orthopaedic patients as well as healthy individuals, and the validation must be in a setting that mimics free-living conditions. Methods Using various technical solutions, such as a dual-axis approach, dynamic inclinometry (hip flexion), and semiautomatic calibration (gait speed), the algorithms were designed to count and time the following postures, transfers, and activities of daily living: resting/sitting, standing, walking, ascending and descending stairs, sit-stand transitions, and cycling. In addition, the number of steps per walking bout was determined. Validation was performed with healthy individuals and patients who had undergone unilateral total joint arthroplasty, representing a wide spectrum of functional capacity. Video observation was used as the gold standard to count and time activities in a validation protocol approaching free-living conditions. Results In total 992 and 390 events (activities or postures) were recorded in the healthy group and patient group, respectively. The mean error varied between 0% and 2.8% for the healthy group and between 0% and 7.5% for the patient group. The error expressed in percentage of time varied between 2.0% and 3.0% for both groups. Conclusion Activity monitoring of orthopaedic patients by counting and timing a large set of relevant daily life events is feasible in a user- and patient-friendly way and at high clinical validity using a generic three-dimensional accelerometer and algorithms based on empirical and physical methods. The algorithms performed well for healthy individuals as well as patients recovering after total joint replacement in a challenging validation set-up. With such a simple and transparent method real-life activity parameters can be collected in orthopaedic practice for diagnostics, treatments, outcome assessment, or biofeedback.
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Affiliation(s)
- Matthijs Lipperts
- School for Medical Physics and Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Atrium Medical Centre Heerlen Orthopaedic Research and Scientific Education, Department of Orthopaedics, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Simon van Laarhoven
- Atrium Medical Centre Heerlen Orthopaedic Research and Scientific Education, Department of Orthopaedics, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Rachel Senden
- Atrium Medical Centre Heerlen Orthopaedic Research and Scientific Education, Department of Orthopaedics, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Ide Heyligers
- Atrium Medical Centre Heerlen Orthopaedic Research and Scientific Education, Department of Orthopaedics, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Bernd Grimm
- Atrium Medical Centre Heerlen Orthopaedic Research and Scientific Education, Department of Orthopaedics, Zuyderland Medical Center, Heerlen, The Netherlands
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van der Berg JD, Koster A, Stehouwer CD. Sedentary Behaviour: A New Target in the Prevention and Management of Diabetes? EUROPEAN MEDICAL JOURNAL 2016. [DOI: 10.33590/emj/10312247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Affiliation(s)
- Julianne D. van der Berg
- Department of Social Medicine, Maastricht University, Maastricht, Netherlands; CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands; Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Annemarie Koster
- Department of Social Medicine, Maastricht University, Maastricht, Netherlands; CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
| | - Coen D.A. Stehouwer
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
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43
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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: 86] [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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44
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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: 1.1] [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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45
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Waterman H, Ballinger C, Brundle C, Chastin S, Gage H, Harper R, Henson D, Laventure B, McEvoy L, Pilling M, Olleveant N, Skelton DA, Stanford P, Todd C. A feasibility study to prevent falls in older people who are sight impaired: the VIP2UK randomised controlled trial. Trials 2016; 17:464. [PMID: 27671540 PMCID: PMC5037880 DOI: 10.1186/s13063-016-1565-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 08/23/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Published evaluations of successful interventions to prevent falls in people with sight impairment (SI) are limited. The aim of this feasibility study is to optimise the design and investigation of home safety (HS) and home exercise (HE) programmes to prevent falls in older people with SI. METHODS A community-based feasibility study in north-west England comprising a three-arm randomised controlled trial (RCT) allocated participants to (1) a control group receiving usual care and social visits, (2) an experimental group receiving the HS programme and (3) an experimental group receiving the HS + HE programme. Participants were community-dwelling, aged 65 years and older and sight impaired. Primary outcome data on falls were collected continuously over 6 months. Secondary outcomes on physical activity (self-report and instrumented) and adherence were collected at baseline and 3 and 6 months for HE and at 6 months for the HS programme. Costs for the HS and HS + HE groups were calculated from logs of time spent on home visits, telephone calls and travel. The research assistant and statistician were blinded to group allocation. RESULTS Altogether, 49 people were recruited over a 9-month period (randomised: 16 to control, 16 to HS, 17 to HS + HE). The interventions were implemented over 6 months by an occupational therapist at a cost per person (pounds sterling, 2011) of £249 (HS) and £674 (HS + HE). Eighty-eight percent (43/49) completed the trial and 6-month follow-up. At 6-month follow-up, 100 % reported partially or completely adhering to HS recommendations but evidence for adherence to HE was equivocal. Although self-reported physical activity increased, instrumented monitoring showed a decrease in walking activity. There were no statistically significant differences in falls between the groups; however, the study was not powered to detect a difference. CONCLUSION It is feasible and acceptable for an occupational therapist to deliver HS and HE falls prevention programmes to people with SI living independently in the community. Future studies could access Local Authority Registers of people with SI to improve recruitment rates. Further research is required to identify how to improve adherence to HE and to measure changes in physical activity before conducting a definitive RCT. TRIAL REGISTRATION ISRCTN53433311 , registered on 8 May 2014.
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Affiliation(s)
- Heather Waterman
- University of Cardiff, Eastgate House, 35-43 Newport Road, Cardiff, CF24 0AB, UK.
| | | | | | | | | | - Robert Harper
- Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Manchester Academic Health Sciences Centre, Manchester, UK
| | - David Henson
- Manchester Academic Health Sciences Centre, Manchester, UK.,University of Manchester, Manchester, UK
| | | | - Lisa McEvoy
- Manchester Academic Health Sciences Centre, Manchester, UK.,Trafford General Hospital, Trafford, UK
| | - Mark Pilling
- Manchester Academic Health Sciences Centre, Manchester, UK.,University of Manchester, Manchester, UK
| | - Nicky Olleveant
- Manchester Academic Health Sciences Centre, Manchester, UK.,University of Manchester, Manchester, UK
| | | | - Penelope Stanford
- Manchester Academic Health Sciences Centre, Manchester, UK.,University of Manchester, Manchester, UK
| | - Chris Todd
- Manchester Academic Health Sciences Centre, Manchester, UK.,University of Manchester, Manchester, UK
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46
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Del Din S, Godfrey A, Mazzà C, Lord S, Rochester L. Free-living monitoring of Parkinson's disease: Lessons from the field. Mov Disord 2016; 31:1293-313. [PMID: 27452964 DOI: 10.1002/mds.26718] [Citation(s) in RCA: 192] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 06/09/2016] [Accepted: 06/13/2016] [Indexed: 12/21/2022] Open
Affiliation(s)
- Silvia Del Din
- Institute of Neuroscience; Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University; Newcastle upon Tyne UK
| | - Alan Godfrey
- Institute of Neuroscience; Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University; Newcastle upon Tyne UK
| | - Claudia Mazzà
- Department of Mechanical Engineering; The University of Sheffield; Sheffield UK
- INSIGNEO Institute for In Silico Medicine; The University of Sheffield; Sheffield UK
| | - Sue Lord
- Institute of Neuroscience; Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University; Newcastle upon Tyne UK
| | - Lynn Rochester
- Institute of Neuroscience; Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University; Newcastle upon Tyne UK
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47
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Kim Y, Welk GJ. Criterion Validity of Competing Accelerometry-Based Activity Monitoring Devices. Med Sci Sports Exerc 2016; 47:2456-63. [PMID: 25910051 DOI: 10.1249/mss.0000000000000691] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE The purpose of this study was to examine the comparative and criterion validity of the three activity monitors in relation to a portable metabolic analyzer (Oxycon Mobile (OM)) in adults. METHODS A total of 52 adults age 18-40 yr each performed a series of 15 activities for 5 min each, with 1-min resting intervals between different activities. Participants completed the trials while wearing the three activity monitors and while being measured with the OM. Estimates of energy expenditure (EE) were obtained from the ActiGraph (one based on the vertical axis and the other from vector magnitude) as well as from the activPAL (AP) and the Core Armband (CA). The EE estimates were converted into MET(RMR) values by standardizing EE values with each person's resting metabolic rate and then temporarily matched to facilitate minute-by-minute comparisons. Equivalence testing and mean absolute percent errors (MAPE) were used to evaluate the agreement. RESULTS MET(RMR) values from the CA were significantly equivalent to those from the OM for the overall group comparison (90% confidence interval (CI), 3.65 and 3.85 MET(RMR)) and vigorous intensity (90% CI, 8.27 and 10.10 MET(RMR)). The CA had the smallest MAPE for moderate (20.7%) and vigorous (14.5%) intensity, but the AP had smaller MAPE for sedentary activities (27.4%) and light (24.7%) intensity activities. CONCLUSIONS The CA showed good agreement relative to the OM for the overall group comparison and for moderate and vigorous activities. The AP, in contrast, was the most accurate for sedentary and light activities. The combined use of the CA and AP may yield more accurate estimates of EE than using a single monitor.
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Affiliation(s)
- Youngwon Kim
- Department of Kinesiology, Iowa State University, Ames, IA
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48
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Meiring RM, Frimpong E, Mokete L, Pietrzak J, Van Der Jagt D, Tikly M, McVeigh JA. Rationale, design and protocol of a longitudinal study assessing the effect of total knee arthroplasty on habitual physical activity and sedentary behavior in adults with osteoarthritis. BMC Musculoskelet Disord 2016; 17:281. [PMID: 27411316 PMCID: PMC4944438 DOI: 10.1186/s12891-016-1141-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 06/29/2016] [Indexed: 01/11/2023] Open
Abstract
Background Physical activity levels are decreased and sedentary behaviour levels are increased in patients with knee osteoarthritis (OA). However, previous studies have shown that following total knee arthroplasty (TKA), objectively measured physical activity levels do not change compared to before the surgery. Very few studies have objectively assessed sedentary behaviour following TKA. This study aims to assess patterns of objective habitual physical activity and sedentary behaviour in patients with knee OA and to determine whether these change following TKA. Methods Patients diagnosed with knee osteoarthritis and scheduled for unilateral primary total knee arthroplasty will be recruited from the Orthopaedic Division at the Charlotte Maxeke Johannesburg Academic Hospital. Eligible participants will have assessments completed one week before the scheduled arthroplasty, six weeks, and six months post-operatively. The primary outcomes are habitual physical activity and sedentary behaviour which will be measured using accelerometry (Actigraph GTX3+ and activPal monitors) at the specific time points. The secondary outcomes will be improvements in osteoarthritis-specific quality of life measures using the following questionnaires: Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Knee injury and Osteoarthritis Outcome Score (KOOS), Oxford Knee Score (OKS), Knee Society Clinical Rating System (KSS), UCLA activity index; subjective pain scores, and self reported sleep quality. Discussion The present study will contribute to the field of musculoskeletal health by providing a rich detailed description of the patterns of accumulation of physical activity and sedentary behaviour in patients with knee OA. These data will contribute to existing knowledge using an objective measurement for the assessment of functional ability after total knee arthroplasty. Although studies have used accelerometry to measure physical activity in knee OA patients, the data provided thus far have not delved into the detailed patterns of how and when physical activity is accumulated before and after TKA. Accurate assessment of physical activity is important for physical activity interventions that target special populations. Trial registration NCT02675062 (4 February 2016).
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Affiliation(s)
- Rebecca M Meiring
- Exercise Physiology Laboratory, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa.
| | - Emmanuel Frimpong
- Exercise Physiology Laboratory, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa
| | - Lipalo Mokete
- Division of Orthopaedics, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa
| | - Jurek Pietrzak
- Division of Orthopaedics, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa
| | - Dick Van Der Jagt
- Division of Orthopaedics, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa
| | - Mohammed Tikly
- Division of Rheumatology, Department of Medicine, Chris Hani Baragwanath Academic Hospital, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa
| | - Joanne A McVeigh
- Exercise Physiology Laboratory, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, 7 York Rd, Parktown, Johannesburg, South Africa.,School of Physiotherapy and Exercise Science, Curtin University, Kent St, Bentley, Western Australia
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49
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Stanton R, Guertler D, Duncan MJ, Vandelanotte C. Agreement between activPAL3c accelerometers placed at different thigh positions. Gait Posture 2016; 48:230-236. [PMID: 27367936 DOI: 10.1016/j.gaitpost.2016.06.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Revised: 06/02/2016] [Accepted: 06/10/2016] [Indexed: 02/02/2023]
Abstract
ActivPAL3c triaxial accelerometers are increasingly used to assess physical activity and sedentary behaviours. However, little is known how attachment site (left vs. right or upper vs. lower thigh) affects activPAL3c accelerometer outcomes. Twenty-eight adults wore four activPAL3c accelerometers attached 2cm above and below the midpoint of the left and right thigh during five minutes of laboratory-based walking at a self-selected pace, treadmill walking at 0.89 and 1.56m/s, and treadmill running at 2.22m/s, and during approximately seven hours of free-living conditions. One-way ANOVA revealed no statistically significant differences in accelerometer output between ActivPAL3c accelerometers at these locations during both laboratory-based, and free-living conditions. Intraclass correlation coefficients showed a high level of agreement between activPAL3c accelerometers during laboratory and free living activities (ICC(2,1) 0.76-1.00). The attachment sites used in this study do not appear to significantly influence outcomes for step count, sitting or walking time, or number of postural transitions from triaxial activPAL3c accelerometers during laboratory-based walking or free-living conditions. Therefore if necessary, to enhance participant compliance during monitoring periods, these sites could be used interchangeably. Studies of longer duration incorporating additional laboratory and recreational activities are needed to confirm these findings.
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Affiliation(s)
- Robert Stanton
- School of Medical and Applied Sciences, Central Queensland University, Bruce Highway, Rockhampton QLD 4702, Australia.
| | - Diana Guertler
- Centre for Physical Activity Studies, School of Human, Health and Social Sciences, Central Queensland University, Bruce Highway, Rockhampton QLD 4702, Australia; Institute for Social Medicine and Prevention, Faculty of Medicine, University of Greifswald, 17475 Greifswald, Germany
| | - Mitch J Duncan
- Centre for Physical Activity Studies, School of Human, Health and Social Sciences, Central Queensland University, Bruce Highway, Rockhampton QLD 4702, Australia; School of Medicine & Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan NSW 2308, Australia
| | - Corneel Vandelanotte
- Centre for Physical Activity Studies, School of Human, Health and Social Sciences, Central Queensland University, Bruce Highway, Rockhampton QLD 4702, Australia
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50
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Barraza Madrigal JA, Cardiel E, Rogeli P, Leija Salas L, Muñoz Guerrero R. Evaluation of suitability of a micro-processing unit of motion analysis for upper limb tracking. Med Eng Phys 2016; 38:793-800. [PMID: 27185034 DOI: 10.1016/j.medengphy.2016.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 03/16/2016] [Accepted: 04/11/2016] [Indexed: 10/21/2022]
Abstract
The aim of this study is to assess the suitability of a micro-processing unit of motion analysis (MPUMA), for monitoring, reproducing, and tracking upper limb movements. The MPUMA is based on an inertial measurement unit, a 16-bit digital signal controller and a customized algorithm. To validate the performance of the system, simultaneous recordings of the angular trajectory were performed with a video-based motion analysis system. A test of the flexo-extension of the shoulder joint during the active elevation in a complete range of 120º of the upper limb was carried out in 10 healthy volunteers. Additional tests were carried out to assess MPUMA performance during upper limb tracking. The first, a 3D motion reconstruction of three movements of the shoulder joint (flexo-extension, abduction-adduction, horizontal internal-external rotation), and the second, an upper limb tracking online during the execution of three movements of the shoulder joint followed by a continuous random movement without any restrictions by using a virtual model and a mechatronic device of the shoulder joint. Experimental results demonstrated that the MPUMA measured joint angles that are close to those from a motion-capture system with orientation RMS errors less than 3º.
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Affiliation(s)
- José Antonio Barraza Madrigal
- The Electrical Engineering Department/Bioelectronics Section, Center for Research and Advanced Studies of the National Polytechnic Institute, Av. IPN 2508 Col. San Pedro Zacatenco, México D.F. C.P. 07360, Mexico.
| | - Eladio Cardiel
- The Electrical Engineering Department/Bioelectronics Section, Center for Research and Advanced Studies of the National Polytechnic Institute, Av. IPN 2508 Col. San Pedro Zacatenco, México D.F. C.P. 07360, Mexico.
| | - Pablo Rogeli
- The Electrical Engineering Department/Bioelectronics Section, Center for Research and Advanced Studies of the National Polytechnic Institute, Av. IPN 2508 Col. San Pedro Zacatenco, México D.F. C.P. 07360, Mexico.
| | - Lorenzo Leija Salas
- The Electrical Engineering Department/Bioelectronics Section, Center for Research and Advanced Studies of the National Polytechnic Institute, Av. IPN 2508 Col. San Pedro Zacatenco, México D.F. C.P. 07360, Mexico.
| | - Roberto Muñoz Guerrero
- The Electrical Engineering Department/Bioelectronics Section, Center for Research and Advanced Studies of the National Polytechnic Institute, Av. IPN 2508 Col. San Pedro Zacatenco, México D.F. C.P. 07360, Mexico.
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