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Benzo RM, Farag A, Whitaker KM, Xiao Q, Carr LJ. Examining the impact of 12-hour day and night shifts on nurses' fatigue: A prospective cohort study. INTERNATIONAL JOURNAL OF NURSING STUDIES ADVANCES 2022; 4:100076. [PMID: 38745643 PMCID: PMC11080398 DOI: 10.1016/j.ijnsa.2022.100076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/09/2022] [Accepted: 03/14/2022] [Indexed: 11/26/2022] Open
Abstract
Background: Fatigue is prevalent among hospital nurses and has been linked to medical errors and decreased patient safety. However, little is known regarding the relationship between occupational physical activity, sedentary behavior, and fatigue. Objective: To assess the impact of 12-hour shifts on nurses' fatigue and its relationship to occupational physical activity and sedentary behavior. Design: Prospective-cohort study design Setting(s): Midwestern trauma one academic medical center Participants: A total of 80 registered nurses working 12-hour day and night shifts participated in this study and completed momentary measures of fatigue (texting, aim one). Only 52 participants were included in aim two analyses (included activity monitoring, aim two). Methods: Occupational patterns of momentary fatigue was measured via ecological momentary assessments. Occupational physical activity and sedentary behaviors (e.g., step count, time spent sitting, standing, and walking) were measured for 14 continuous days using the ActivPAL3 micro activity monitor. Mixed models were used to examine the effects of shift type and time within a shift on occupational fatigue. General estimation equations were used to examine the relationship between time spent sitting, standing, and walking on fatigue. Results: Regardless of shift type, nurses exhibited a significant rise in fatigue; however, the rise was greater during night shifts compared to day shifts. Walking was positively associated with fatigue during day shifts, and negatively associated with fatigue during night shifts. Conclusions: The rise in fatigue was greater among nurses working night shifts compared to day shifts, which could place them at greater risk for fatigue-related consequences. The relationship between walking and fatigue was moderated by shift-type. Tweetable abstract: Nursing fatigue rises during 12-hour shifts, but the rise is greater for those working night shifts @DrRobertoBenzo.
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Affiliation(s)
- Roberto M. Benzo
- Department of Psychology, University of Miami, Miami, Florida 33136, United States of America
- Department of Health & Human Physiology, University of Iowa, E102 Field House, Iowa City, Iowa 52242, United States of America
| | - Amany Farag
- College of Nursing, University of Iowa, 101 College of Nursing Building; 50 Newton Road, Iowa City, Iowa 52242, United States of America
| | - Kara M. Whitaker
- Department of Health & Human Physiology, University of Iowa, E102 Field House, Iowa City, Iowa 52242, United States of America
- Department of Epidemiology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Lucas J. Carr
- Department of Health & Human Physiology, University of Iowa, E102 Field House, Iowa City, Iowa 52242, United States of America
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Yang X, Orjuela JP, McCoy E, Vich G, Anaya-Boig E, Avila-Palencia I, Brand C, Carrasco-Turigas G, Dons E, Gerike R, Götschi T, Nieuwenhuijsen M, Panis LI, Standaert A, de Nazelle A. The impact of black carbon (BC) on mode-specific galvanic skin response (GSR) as a measure of stress in urban environments. ENVIRONMENTAL RESEARCH 2022; 214:114083. [PMID: 35995220 DOI: 10.1016/j.envres.2022.114083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Abstract
Previous research has shown that walking and cycling could help alleviate stress in cities, however there is poor knowledge on how specific microenvironmental conditions encountered during daily journeys may lead to varying degrees of stress experienced at that moment. We use objectively measured data and a robust causal inference framework to address this gap. Using a Bayesian Doubly Robust (BDR) approach, we find that black carbon exposure statistically significantly increases stress, as measured by Galvanic Skin Response (GSR), while cycling and while walking. Augmented Outcome Regression (AOR) models indicate that greenspace exposure and the presence of walking or cycling infrastructure could reduce stress. None of these effects are statistically significant for people in motorized transport. These findings add to a growing evidence-base on health benefits of policies aimed at decreasing air pollution, improving active travel infrastructure and increasing greenspace in cities.
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Affiliation(s)
- Xiuleng Yang
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Juan Pablo Orjuela
- Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom
| | - Emma McCoy
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Guillem Vich
- Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Esther Anaya-Boig
- Centre for Environmental Policy, Imperial College London, London, United Kingdom
| | | | - Christian Brand
- Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom; Environmental Change Institute, University of Oxford, Oxford, United Kingdom
| | - Glòria Carrasco-Turigas
- Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Evi Dons
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Regine Gerike
- TU Dresden, Institute of Transport Planning and Road Traffic, Germany
| | - Thomas Götschi
- School of Planning, Public Policy & Management (PPPM), University of Oregon, Eugene, USA
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Luc Int Panis
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Arnout Standaert
- Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Audrey de Nazelle
- Centre for Environmental Policy, Imperial College London, London, United Kingdom; MRC-PHE Centre for Environment and Health, Imperial College London, United Kingdom.
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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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Geršak V, Giber T, Geršak G, Pavlin J. Are Psychophysiological Wearables Suitable for Comparing Pedagogical Teaching Approaches? SENSORS (BASEL, SWITZERLAND) 2022; 22:5704. [PMID: 35957261 PMCID: PMC9370886 DOI: 10.3390/s22155704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
This study describes how wearable devices can be used in elementary schools to compare some aspects of different teaching approaches. Upper arm wearables were used as an objective tool to compare three approaches when teaching science: (i) classical frontal teaching, (ii) embodied (kinesthetic) teaching, and (iii) a distance teaching approach. Using the wearables, the approaches were compared in terms of their impact on students' psychological arousal and perceived well-being. In addition, short-term and long-term knowledge gain and physiological synchronization between teacher and students during the lecture were assessed. A synchronization index was defined to estimate the degree of physiological synchronization. During distance teaching, by means of measurements with wearables, students were significantly less physically active and significantly less psychologically aroused. Embodied teaching allowed significantly higher physical activation than during the other two approaches. The synchronization index for all three teaching approaches was positive with the highest values for distance and frontal teaching. Moreover, knowledge gain immediately after the embodied lessons was higher than after frontal lessons. No significant differences in the long-term knowledge retention between the three different teaching methods were found. This pilot study proved that wearables are a useful tool in research in the field of education and have the potential to contribute to a deeper understanding of the mechanisms involved in learning, even in complex environments such as an elementary school classroom.
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Affiliation(s)
- Vesna Geršak
- Faculty of Education, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.G.); (T.G.); (J.P.)
| | - Tina Giber
- Faculty of Education, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.G.); (T.G.); (J.P.)
| | - Gregor Geršak
- Faculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Jerneja Pavlin
- Faculty of Education, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.G.); (T.G.); (J.P.)
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Yang X, McCoy E, Anaya-Boig E, Avila-Palencia I, Brand C, Carrasco-Turigas G, Dons E, Gerike R, Goetschi T, Nieuwenhuijsen M, Pablo Orjuela J, Int Panis L, Standaert A, de Nazelle A. The effects of traveling in different transport modes on galvanic skin response (GSR) as a measure of stress: An observational study. ENVIRONMENT INTERNATIONAL 2021; 156:106764. [PMID: 34273874 DOI: 10.1016/j.envint.2021.106764] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 07/02/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Stress is one of many ailments associated with urban living, with daily travel a potential major source. Active travel, nevertheless, has been associated with lower levels of stress compared to other modes. Earlier work has relied on self-reported measures of stress, and on study designs that limit our ability to establish causation. OBJECTIVES To evaluate effects of daily travel in different modes on an objective proxy measure of stress, the galvanic skin response (GSR). METHODS We collected data from 122 participants across 3 European cities as part of the Physical Activity through Sustainable Transport Approaches (PASTA) study, including: GSR measured every minute alongside confounders (physical activity, near-body temperature) during three separate weeks covering 3 seasons; sociodemographic and travel information through questionnaires. Causal relationships between travel in different modes (the "treatment") and stress were established by using a propensity score matching (PSM) approach to adjust for potential confounding and estimating linear mixed models (LMM) with individuals as random effects to account for repeated measurements. In three separate analyses, we compared GSR while cycling to not cycling, then walking to not walking then motorized (public or private) travel to any activity other than motorized travel. RESULTS Depending on LMM formulations used, cycling reduces 1-minute GSR by 5.7% [95% CI: 2.0-16.9%] to 11.1% [95% CI: 5.0-24.4%] compared to any other activity. Repeating the analysis for other modes we find that: walking is also beneficial, reducing GSR by 3.9% [95% CI: 1.4-10.7%] to 5.7% [95% CI: 2.6-12.3%] compared to any other activity; motorized mode (private or public) in reverse increases GSR by up to 1.1% [95% CI: 0.5-2.9%]. DISCUSSION Active travel offers a welcome way to reduce stress in urban dwellers' daily lives. Stress can be added to the growing number of evidence-based reasons for promoting active travel in cities.
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Affiliation(s)
- Xiuleng Yang
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Emma McCoy
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Esther Anaya-Boig
- Centre for Environmental Policy, Imperial College London, London, United Kingdom
| | - Ione Avila-Palencia
- Institute for Global Health (ISGlobal), Barcelona, Spain; Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Christian Brand
- Environmental Change Institute, University of Oxford, Oxford, United Kingdom; Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom
| | - Glòria Carrasco-Turigas
- Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Evi Dons
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Regine Gerike
- TU Dresden, Institute of Transport Planning and Road Traffic, Germany
| | - Thomas Goetschi
- School of Planning, Public Policy & Management (PPPM), University of Oregon, Eugene, USA
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Juan Pablo Orjuela
- Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom
| | - Luc Int Panis
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Arnout Standaert
- Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Audrey de Nazelle
- Centre for Environmental Policy, Imperial College London, London, United Kingdom; MRC-PHE Centre for Environment and Health, Imperial College London, United Kingdom.
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Benzo R, Farag A, Whitaker K, Xiao Q, Carr L. A comparison of occupational physical activity and sedentary behavior patterns of nurses working 12-h day and night shifts. INTERNATIONAL JOURNAL OF NURSING STUDIES ADVANCES 2021. [DOI: 10.1016/j.ijnsa.2021.100028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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Madden KM, Feldman B, Chase J. Sedentary Time and Metabolic Risk in Extremely Active Older Adults. Diabetes Care 2021; 44:194-200. [PMID: 33067259 PMCID: PMC7783925 DOI: 10.2337/dc20-0849] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 09/03/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Increasing evidence suggests that time spent sedentary predicts increasing cardiometabolic risk independent of other physical activity. We objectively measured activity levels in active older adults and examined the association between sedentary behavior and the continuous metabolic syndrome risk score (cMSy). RESEARCH DESIGN AND METHODS Older adults (age ≥65 years) were recruited from the Whistler Masters ski team, a group of active older adults who undergo organized group training. Daily activity levels were recorded with accelerometers (SenseWear) worn for 7 days. A compositional approach was used to determine proportion of the time spent sedentary as compared with all other nonsedentary behaviors (isometric log-ratio transformation for time spent sedentary [ILR1]). Waist circumference, triglycerides, HDL, systolic blood pressure, and fasting glucose were measured, and cMSy was calculated using principal component analysis (sum of eigenvalues ≥1.0). RESULTS Fifty-four subjects (30 women and 24 men, mean ± SE age 71.4 ± 0.6 years) were recruited. Subjects demonstrated high levels of physical activity (2.6 ± 0.2 h light activity and 3.9 ± 0.2 h moderate/vigorous activity). In our final parsimonious model, ILR1 showed a significant positive association with increasing cMSy (standardized β = 0.368 ± 0.110, R 2 = 0.40, P = 0.002), independent of age and biological sex. CONCLUSIONS Despite high levels of activity, ILR1 demonstrated a strong association with cMSy. This suggests that even in active older adults, sedentary behavior is associated with increasing cardiometabolic risk.
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Affiliation(s)
- Kenneth M Madden
- Gerontology and Diabetes Research Laboratory, Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada .,Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Boris Feldman
- Gerontology and Diabetes Research Laboratory, Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jocelyn Chase
- Gerontology and Diabetes Research Laboratory, Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Whipple MO, Regensteiner JG, Bergouignan A. Is Being Physically Active Enough to Be Metabolically Healthy? The Key Role of Sedentary Behavior. Diabetes Care 2021; 44:17-19. [PMID: 33444166 PMCID: PMC8441549 DOI: 10.2337/dci20-0064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Mary O Whipple
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women's Health Research, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Judith G Regensteiner
- Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women's Health Research, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Audrey Bergouignan
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
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Kiely M, Warrington G, McGoldrick A, Cullen S. Physiological and Performance Monitoring in Competitive Sporting Environments: A Review for Elite Individual Sports. Strength Cond J 2019. [DOI: 10.1519/ssc.0000000000000493] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Yang Y, Schumann M, Le S, Cheng S. Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure. PeerJ 2018; 6:e5775. [PMID: 30324032 PMCID: PMC6186411 DOI: 10.7717/peerj.5775] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 09/17/2018] [Indexed: 11/20/2022] Open
Abstract
Background Objective assessments of sedentary behavior and physical activity (PA) by using accelerometer-based wearable devices are ever expanding, given their importance in the global context of health maintenance. This study aimed to determine the reliability and validity of a new accelerometer-based analyzer (Fibion) for detecting different PAs and estimating energy expenditure (EE) during a simulated free-living day. Methods The study consisted of two parts: a reliability (n = 18) and a validity (n = 19) test. Reliability was assessed by a 45 min protocol of repeated sitting, standing, and walking (i.e., 3 × 15 min, repeated twice), using both Fibion and ActiGraph. Validity was assessed by a 12 h continuous sequence tasks of different types (sitting, standing, walking, and cycling) and intensities (light [LPA], moderate [MPA], and vigorous [VPA]) of PA. Two Fibion devices were worn on the thigh (FT) and in the pocket (FP), respectively and were compared with criteria measures, such as direct observation (criterion 1) and oxygen consumption by a portable gas analyzer, K4b2 (criterion 2). Results FT (intra-class correlation coefficients (ICCs): 0.687-0.806) provided similar reliability as the Actigraph (ICCs: 0.661-0.806) for EE estimation. However, the measurement error (ME) of FT compared to the actual time records indicated an underestimation of duration by 5.1 ± 1.2%, 3.8 ± 0.3% and 14.9 ± 2.6% during sitting, walking, and standing, respectively. During the validity test, FT but not FP showed a moderate agreement but lager variance with the criteria (1 and 2) in assessing duration of sitting, long sitting, LPA, MPA, and VPA (p > 0.05, ICCs: 0.071-0.537), as well as for EE estimation of standing, LPA, MPA, and VPA (p > 0.05, ICCs: 0.673-0.894). Conclusions FT provided similar reliability to that of the Actigraph. However, low correlations between subsequent measurements of both devices indicated large random MEs, which were somewhat diminished during the simulated 12 h real-life test. Furthermore, FT may accurately determine the types, intensities of PA and EE during prolonged periods with substantial changes in postures, indicating that the location of the accelerometer is essential. Further study with a large cohort is needed to confirm the usability of Fibion, especially for detecting the low-intensity PAs.
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Affiliation(s)
- Yanxiang Yang
- Department of Physical Education, Exercise, Health and Technology Center, Shanghai Jiao Tong University, Shanghai, China
| | - Moritz Schumann
- Institute of Cardiovascular Research and Sport Medicine, Department of Molecular and Cellular Sport Medicine, German Sport University, Cologne, Germany.,The Exercise Translational Medicine Center, Shanghai Jiao Tong University, Shanghai, China
| | - Shenglong Le
- Department of Physical Education, Exercise, Health and Technology Center, Shanghai Jiao Tong University, Shanghai, China.,Unit of Health Sciences, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Shulin Cheng
- Department of Physical Education, Exercise, Health and Technology Center, Shanghai Jiao Tong University, Shanghai, China.,The Exercise Translational Medicine Center, Shanghai Jiao Tong University, Shanghai, China.,Unit of Health Sciences, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.,The Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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Evaluation of the activPAL accelerometer for physical activity and energy expenditure estimation in a semi-structured setting. J Sci Med Sport 2017; 20:1003-1007. [DOI: 10.1016/j.jsams.2017.04.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 02/13/2017] [Accepted: 04/16/2017] [Indexed: 11/18/2022]
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12
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Powell C, Carson BP, Dowd KP, Donnelly AE. Simultaneous validation of five activity monitors for use in adult populations. Scand J Med Sci Sports 2016; 27:1881-1892. [DOI: 10.1111/sms.12813] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2016] [Indexed: 11/29/2022]
Affiliation(s)
- C. Powell
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
| | - B. P. Carson
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
- Health Research Institute; University of Limerick; Limerick Ireland
| | - K. P. Dowd
- Department of Sport and Health; Faculty of Science; Athlone Institute of Technology; Athlone Westmeath Ireland
| | - A. E. Donnelly
- Department of Physical Education and Sport Sciences; Centre for Physical Activity and Health Research; University of Limerick; Limerick Ireland
- Health Research Institute; University of Limerick; Limerick Ireland
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Stansfield B, Rowlands A, John D, Chastin S, Edwardson C, Hagströmer M. 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement (Limerick, Ireland, 10-12 June 2015). Physiol Meas 2016; 37:E24-E26. [PMID: 27654670 DOI: 10.1088/0967-3334/37/10/e24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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