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Sökning: WFRF:(Arvidsson Daniel 1974 )

  • Resultat 1-10 av 35
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  • Arvidsson, D., et al. (författare)
  • Energy cost of physical activities in children : Validation of SenseWear Armband
  • 2007
  • Ingår i: Medicine & Science in Sports & Exercise. - : American College of Sports Medicine. - 0195-9131 .- 1530-0315. ; 39:11, s. 2076-2084
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: To examine the validity of SenseWear Pro2 Armband in assessing energy cost of physical activities in children, and to contribute with values of energy costs in an overview of physical activities in children. METHODS: Energy cost was assessed by SenseWear Pro2 Armband in 20 healthy children, 11-13 yr, while lying down resting, sitting playing games on mobile phone, stepping up and down on a step board, bicycling on a stationary bike, jumping on a trampoline, playing basketball, and walking/running on a treadmill at the speeds 2, 3, 4, 5, 6, 7, 8, and 10 km x h(-1). During these activities, energy cost was also assessed from VO2 and VCO2 measured by Oxycon Mobile portable metabolic system, which was used as criterion method. RESULTS: The difference in energy cost between SenseWear Pro2 Armband and Oxycon Mobile was -0.7 (0.5) (P < 0.001) for resting, -2.0 (0.9) (P < 0.001) for playing games on mobile phone, -6.6 (2.3) (P < 0.001) for stepping on the step board, -12.0 (3.7) (P < 0.001) for bicycling, -2.7 (11.9) (P = 0.34) for jumping on the trampoline, and -14.8 (6.4) kJ x min(-1) (P < 0.001) for playing basketball. The difference in energy cost between SenseWear Pro2 Armband and Oxycon Mobile for increasing treadmill speed was 1.3 (3.1) (P = 0.048), 0.1 (2.9) (P = 0.82), -1.2 (2.6) (P = 0.049), -1.6 (3.2) (P = 0.044), -3.1 (3.7) (P = 0.0013), -4.9 (3.7) (P < 0.001), -5.3 (3.7) (P < 0.001), and -11.1 (3.5) kJ x min(-1) (P < 0.001). CONCLUSIONS: SenseWear Pro2 Armband underestimated energy cost of most activities in this study, an underestimation that increased with increased physical activity intensity. A table of energy costs (MET values) of physical activities in children measured by indirect calorimetry is presented as an initiation of the creation of a compendium of physical activities in children
  • Arvidsson, Daniel, 1974, et al. (författare)
  • Med accelerometrar kan fysisk aktivitet mätas objektivt- Snabb metodutveckling, men mer kompetens krävs för användning fullt ut i klinisk praxis : Physical Activity Measured With Accelerometers
  • 2019
  • Ingår i: Läkartidningen. - 1652-7518. ; 116
  • Forskningsöversikt (refereegranskat)abstract
    • The development of accelerometers has revolutionized measurement of physical activity, and they are used to a large extent in research and have started to be implemented into clinical settings. However, achievement of reliable outcomes requires good methodological knowledge and skills by the user. Otherwise, significant measurement errors may occur, interfering with assessment of the physical activity level in the population, group differences, associations with health parameters or effect of treatments. This paper by the Swedish Network for Objective Measurement of Movement (NORM) provides an overview of physical activity measurement including sections of data collection, processing of raw data into useful metrics and statistical analysis. It targets users of accelerometer in research, health care and national surveys.
  • Lopez, A. Garcia, et al. (författare)
  • Validation of SenseWear Armband in children, adolescents, and adults
  • 2018
  • Ingår i: Scandinavian Journal of Medicine and Science in Sports. - : Wiley-Blackwell. - 0905-7188 .- 1600-0838. ; 28:2, s. 487-495
  • Tidskriftsartikel (refereegranskat)abstract
    • SenseWear Armband (SW) is a multisensor monitor to assess physical activity and energy expenditure. Its prediction algorithms have been updated periodically. The aim was to validate SW in children, adolescents, and adults. The most recent SW algorithm 5.2 (SW5.2) and the previous version 2.2 (SW2.2) were evaluated for estimation of energy expenditure during semi-structured activities in 35 children, 31 adolescents, and 36 adults with indirect calorimetry as reference. Energy expenditure estimated from waist-worn ActiGraph GT3X+ data (AG) was used for comparison. Improvements in measurement errors were demonstrated with SW5.2 compared to SW2.2, especially in children and for biking. The overall mean absolute percent error with SW5.2 was 24% in children, 23% in adolescents, and 20% in adults. The error was larger for sitting and standing (23%-32%) and for basketball and biking (19%-35%), compared to walking and running (8%-20%). The overall mean absolute error with AG was 28% in children, 22% in adolescents, and 28% in adults. The absolute percent error for biking was 32%-74% with AG. In general, SW and AG underestimated energy expenditure. However, both methods demonstrated a proportional bias, with increasing underestimation for increasing energy expenditure level, in addition to the large individual error. SW provides measures of energy expenditure level with similar accuracy in children, adolescents, and adults with the improvements in the updated algorithms. Although SW captures biking better than AG, these methods share remaining measurements errors requiring further improvements for accurate measures of physical activity and energy expenditure in clinical and epidemiological research.
  • Sabel, Magnus, et al. (författare)
  • Active video gaming improves body coordination in survivors of childhood brain tumours.
  • 2016
  • Ingår i: Disability and rehabilitation. - : Taylor & Francis. - 1464-5165 .- 0963-8288. ; 38:21, s. 2073-2084
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose We investigated whether active video gaming (AVG) could bring about regular, enjoyable, physical exercise in children treated for brain tumours, what level of physical activity could be reached and if the children's physical functioning improved. Methods Thirteen children, aged 7-17 years, were randomised to either AVG or waiting-list. After 10-12 weeks they crossed-over. Weekly Internet coaching sessions were used to sustain motivation and evaluate enjoyment. Energy expenditure (EE) levels were measured as Metabolic Equivalent of Task (MET), using a multisensory activity monitor. Single-blinded assessments of physical functioning were done, using the Bruininks-Osteretsky Test of Motor Performance, second edition, evaluating participants before and after the intervention period, as well as comparing the randomisation groups after the first period. Results All patients completed the study. AVG sessions (mean duration 47 minutes) were performed on 72% of all days. Mean EE level during AVG sessions was 3.0 MET, corresponding to moderate physical activity. The Body Coordination score improved by 15% (p = 0.021) over the intervention period. Conclusions In this group of childhood brain tumour survivors, home-based AVG, supported by a coach, was a feasible, enjoyable and moderately intense form of exercise that improved Body Coordination. Implications for Rehabilitation Childhood brain tumour survivors frequently have cognitive problems, inferior physical functioning and are less physically active compared to their healthy peers. Active video gaming (AVG), supported by Internet coaching, is a feasible home-based intervention in children treated for brain tumours, promoting enjoyable, regular physical exercise of moderate intensity. In this pilot study, AVG with Nintendo Wii improved Body Coordination.
  • Sabel, Magnus, et al. (författare)
  • Effects of physically active video gaming on cognition and activities of daily living in childhood brain tumor survivors: a randomized pilot study
  • 2017
  • Ingår i: Neuro Oncology Practice. - 2054-2577 .- 2054-2585. ; 4:2, s. 98-110
  • Tidskriftsartikel (refereegranskat)abstract
    • Background. Physical activity can enhance cognitive functions in both animals and humans. We hypothesized that physically active video gaming could: i) improve cognitive functions and ii) improve the execution of activities of daily living among survivors of childhood brain tumors.Methods. Children 7 to 17 years old who completed treatment, including radiotherapy, for a brain tumor 1 to 5 years earlier were randomized to either intervention or waiting list. After 10 to 12 weeks the groups crossed over. The intervention consisted of active video gaming, using a motion-controlled video console (Nintendo Wii), for a minimum of 30 minutes a day, 5 days a week and weekly Internet-based coaching sessions. Evaluations before and after each period included tests of the execution of activities of daily living, using the Assessment of Motor and Process Skills (AMPS) and cognitive tests. Test scores before and after the intervention were compared. A parallel group comparison was performed as a sensitivity analysis.Results. All 13 children enrolled completed the program. Compared to baseline, the motor (P= .012) and process (P=.002) parts of AMPS improved significantly after active video gaming. In the parallel group analysis the improvement in the process part of AMPS remained statistically significant (P= .029), but not the change in AMPS motor score (P= .059). No significant change was found in cognitive tests although there were trends for improvement in sustained attention (P = .090) and selective attention (P = .078).Conclusion. In this pilot study, active video gaming used as a home-based intervention for childhood brain tumor survivors improved motor and process skills in activities of daily living.
  • Arvidsson, Daniel, 1974, et al. (författare)
  • A Longitudinal Analysis of the Relationships of Physical Activity and Body Fat With Nerve Growth Factor and Brain-Derived Neural Factor in Children
  • 2018
  • Ingår i: Journal of Physical Activity & Health. - : Human Kinetics. - 1543-3080. ; 15:8, s. 620-625
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Nerve growth factor (NGF) and brain-derived neural factor (BDNF) are important for brain function and detectable in the blood. This study explored the longitudinal associations of physical activity and body fat with serum NGF and BDNF in children. Methods: Two waves of measurements were performed 2 years apart in 8- to 11-year-old children, including physical activity using the ActiGraph model 7164, body composition by dual-energy X-ray absorptiometry, and serum NGF and BDNF determined by multiplex immunoassay. The first wave included 248 children. Full information maximum likelihood estimation with robust standard errors was applied in structural equation modeling. Results: Vigorous physical activity showed a direct positive longitudinal relationship with NGF (standardized coefficient beta = 0.30, P = .01) but not with BDNF (beta = 0.04, P = .84). At the same time, body fat percentage was positively related to both NGF (beta = 0.59, P < .001) and BDNF (beta = 0.17, P = .04). There was an indication of an indirect relationship of vigorous physical activity with NGF (product of unstandardized coefficient beta = -0.18, P = .02) and BDNF (beta = -0.07, P = .05) through the negative relationship with body fat percentage (beta = -0.36, P < .001). Conclusions: Vigorous physical activity is directly related to serum NGF and indirectly through the level of body fat. The relationships with serum BDNF are more complex.
  • Arvidsson, Daniel, 1974, et al. (författare)
  • Energy cost in children assessed by multisensor activity monitors.
  • 2009
  • Ingår i: Medicine and science in sports and exercise. - : American College of Sports Medicine. - 1530-0315 .- 0195-9131. ; 41:3, s. 603-11
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: The SenseWear Pro2 Armband (SWA; BodyMedia, Inc., Pittsburg, PA), the Intelligent Device for Energy Expenditure and Activity (IDEEA; Minisun LLC, Fresno, CA), and the ActiReg (AR; PreMed AS, Oslo, Norway) were compared with indirect calorimetry to determine the ability of these devices to assess energy cost in children during resting and different physical activities. METHODS: Fourteen children, 11-13 yr old, wore the SWA, the IDEEA, and the AR during resting, sitting, stationary bicycling, jumping on a trampoline, playing basketball, stair walking, and walking/running along a 50-m track. The Oxycon Mobile portable metabolic system (VIASYS Healthcare, Conshohocken, PA) was used as the criterion method for energy cost. RESULTS: For resting and sitting, the three activity monitors showed comparable results, but none of them accurately assessed energy cost for stationary bicycling, jumping on a trampoline, or playing basketball. The IDEEA was the only activity monitor that accurately assessed energy cost for stair walking. Also, the IDEEA showed a close estimate of energy cost across the walking and the running intensities, whereas the SWA accurately assessed energy cost for slow to normal walking but showed increased underestimation of energy cost with increasing speed. The AR overestimated energy cost during walking and during slow running but did not respond to increasing running speed. CONCLUSIONS: To be able to capture children's physical activity, all three activity monitors need to be further developed. Overall, the IDEEA showed the highest ability to assess energy cost in this study, but SWA may be more feasible for use in children under free-living conditions.
  • Arvidsson, Daniel, 1974, et al. (författare)
  • Free-living energy expenditure in children using multi-sensor activity monitors.
  • 2009
  • Ingår i: Clinical nutrition (Edinburgh, Scotland). - 1532-1983. ; 28:3, s. 305-12
  • Tidskriftsartikel (refereegranskat)abstract
    • AIMS: To improve the energy expenditure algorithm of the activity monitor ActiReg, and to validate ActiReg and the activity monitor SenseWear in free-living children. METHODS: The development of the ActiReg algorithm was performed in 20 healthy 11-13 years old children on treadmill walking and running with indirect calorimetry as reference. The original and new ActiReg algorithms and SenseWear using software versions InnerView 5.1 and 6.1 were validated in 20 healthy 14-15 years old children against doubly labelled water. RESULTS: The new ActiReg algorithm improved the assessment of energy expenditure during walking and running, but the response from the monitor levelled off after 7 km h(-1). The new algorithm and InnerView 6.1 decreased the mean (sd) difference to doubly labelled water from 11 (25) (P<0.05) to 0 (22) kJ kg(-1) d(-1) for ActiReg, and from 17 (20) (P<0.01) to -10 (21) (P<0.05) kJ kg(-1) d(-1) for SenseWear. However, the correlations between energy expenditure and the individual error for the new ActiReg algorithm and InnerView 6.1 were r= -0.50 (P<0.05) and r= -0.73 (P<0.01). CONCLUSIONS: The new ActiReg algorithm and InnerView 6.1 improved the activity monitors at group level, but the error was dependent on physical activity level. Both activity monitors need further developments for use in children.
  • Arvidsson, Daniel, 1974, et al. (författare)
  • Guide till metoder för att mäta fysisk aktivitet.
  • 2016
  • Ingår i: Idrottsmedicin. - 2001-3302. ; 16:3, s. 16-19
  • Tidskriftsartikel (övrigt vetenskapligt)abstract
    • Inom såväl forskning som klinik behöver man ofta uppskatta fysisk aktivitet på olika sätt. Det är viktigt att man använder rätt mätmetoder och är förtrogen med deras fördelar och begränsningar. Utvecklingen inom detta område går snabbt. Denna artikel är en kort guide över de vanligaste metoderna.
  • Arvidsson, Daniel, 1974, et al. (författare)
  • Measurement of physical activity in clinical practice using accelerometers.
  • 2019
  • Ingår i: Journal of internal medicine. - 1365-2796. ; 286:2, s. 137-153
  • Forskningsöversikt (refereegranskat)abstract
    • Accelerometers are commonly used in clinical and epidemiological research for more detailed measures of physical activity and to target the limitations of self-report methods. Sensors are attached at the hip, wrist and thigh, and the acceleration data are processed and calibrated in different ways to determine activity intensity, body position and/or activity type. Simple linear modelling can be used to assess activity intensity from hip and thigh data, whilst more advanced machine-learning modelling is to prefer for the wrist. The thigh position is most optimal to assess body position and activity type using machine-learning modelling. Frequency filtering and measurement resolution needs to be considered for correct assessment of activity intensity. Simple physical activity measures and statistical methods are mostly used to investigate relationship with health, but do not take advantage of all information provided by accelerometers and do not consider all components of the physical activity behaviour and their interrelationships. More advanced statistical methods are suggested that analyse patterns of multiple measures of physical activity to demonstrate stronger and more specific relationships with health. However, evaluations of accelerometer methods show considerable measurement errors, especially at individual level, which interferes with their use in clinical research and practice. Therefore, better objective methods are needed with improved data processing and calibration techniques, exploring both simple linear and machine-learning alternatives. Development and implementation of accelerometer methods into clinical research and practice requires interdisciplinary collaboration to cover all aspects contributing to useful and accurate measures of physical activity behaviours related to health.
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