| 1. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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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
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Ingår i: Läkartidningen. - 1652-7518. ; 116
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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.
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| 2. |
- Börjesson, Mats, 1965, et al.
(författare)
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Correlates of cardiorespiratory fitness in a population-based sample of middle-aged adults : cross-sectional analyses in the SCAPIS study
- 2022
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Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 12:12
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: This study aimed to identify main sex-specific correlates of cardiorespiratory fitness (CRF) in a population-based, urban sample of Swedish adults.Design: Cross-sectional.Setting: Multi-site study at university hospitals, data from the Gothenburg site.Participants: A total of 5308 participants (51% women, aged 50-64 years) with a valid estimated VO2max, from submaximal cycle test, in the Swedish CArdioPulmonary bioImage Study (SCAPIS), were included.Primary and secondary outcomes: A wide range of correlates were examined including (a) sociodemographic and lifestyle behaviours, (b) perceived health, anthropometrics and chronic conditions and (c) self-reported as well as accelerometer-derived physical activity and sedentary behaviours. Both continuous levels of estimated VO2max as well as odds ratios (OR) and confidence intervals (CI)s of low VO2max (lowest sex-specific tertile) were reported.Results: In multivariable regression analyses, higher age, being born abroad, short education, high waist circumference, poor perceived health, high accelerometer-derived time in sedentary and low in vigorous physical activity, as well as being passive commuter, correlated independently and significantly with low VO2max in both men and women (OR range 1.31-9.58). Additionally in men, financial strain and being an ex-smoker are associated with higher odds for low VO2max (OR 2.15; 95% CI 1.33 to 3.48 and OR 1.40; 95% CI 1.09 to 1.80), while constant stress with lower odds (OR 0.61; 95% CI 0.43 to 0.85). Additionally in women, being a regular smoker is associated with lower odds for low VO2max (OR 0.64; 95% CI 0.45 to 0.92).Conclusions: The present study provides important reference material on CRF and correlates of CRF in a general middle-aged population, which can be valuable for future research, clinical practice and public health work. If relations are causal, increased knowledge about specific subgroups will aid in the development of appropriate, targeted interventions.
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| 3. |
- Larisch, Lisa-Marie, et al.
(författare)
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Effects of two randomized and controlled multi-component interventions focusing on 24-hour movement behavior among office workers: A compositional data analysis
- 2021
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Ingår i: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 18
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Tidskriftsartikel (refereegranskat)abstract
- Intervention studies aiming at changing movement behavior have usually not accounted for the compositional nature of time-use data. Compositional data analysis (CoDA) has been sug-gested as a useful strategy for analyzing such data. The aim of this study was to examine the effects of two multi-component interventions on 24-h movement behavior (using CoDA) and on cardi-orespiratory fitness among office workers; one focusing on reducing sedentariness and the other on increasing physical activity. Office workers (n = 263) were cluster randomized into one of two 6-month intervention groups, or a control group. Time spent in sedentary behavior, light-intensity, moderate and vigorous physical activity, and time in bed were assessed using accelerometers and diaries, both for 24 h in total, and for work and leisure time separately. Cardiorespiratory fitness was estimated using a sub-maximal cycle ergometer test. Intervention effects were analyzed using linear mixed models. No intervention effects were found, either for 24-h behaviors in total, or for work and leisure time behaviors separately. Cardiorespiratory fitness did not change significantly. Despite a thorough analysis of 24-h behaviors using CoDA, no intervention effects were found, nei-ther for behaviors in total, nor for work and leisure time behaviors separately. Cardiorespiratory fitness did not change significantly. Although the design of the multi-component interventions was based on theoretical frameworks, and included cognitive behavioral therapy counselling, which has been proven effective in other populations, issues related to implementation of and compliance with some intervention components may have led to the observed lack of intervention effect.
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| 4. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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A Longitudinal Analysis of the Relationships of Physical Activity and Body Fat With Nerve Growth Factor and Brain-Derived Neural Factor in Children
- 2018
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Ingår i: Journal of Physical Activity & Health. - : Human Kinetics. - 1543-3080 .- 1543-5474. ; 15:8, s. 620-625
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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.
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| 5. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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Energy Cost in Children Assessed by Multisensor Activity Monitors
- 2009
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Ingår i: Medicine & Science in Sports & Exercise. - : American College of Sports Medicine. - 0195-9131 .- 1530-0315. ; 41:3, s. 603-611
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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.
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| 6. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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Energy cost of physical activities in children : Validation of SenseWear Armband
- 2007
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Ingår i: Medicine & Science in Sports & Exercise. - : American College of Sports Medicine. - 0195-9131 .- 1530-0315. ; 39:11, s. 2076-2084
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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
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| 7. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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Free-living energy expenditure in children using multi-sensor activity monitors.
- 2009
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Ingår i: Clinical nutrition (Edinburgh, Scotland). - : Elsevier BV. - 1532-1983 .- 0261-5614. ; 28:3, s. 305-12
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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.
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| 8. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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Guide till metoder för att mäta fysisk aktivitet.
- 2016
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Ingår i: Idrottsmedicin. - 2001-3302. ; 16:3, s. 16-19
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)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.
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| 9. |
- Arvidsson, Daniel, 1974, et al.
(författare)
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Measurement of physical activity in clinical practice using accelerometers.
- 2019
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Ingår i: Journal of internal medicine. - : Wiley. - 1365-2796 .- 0954-6820. ; 286:2, s. 137-153
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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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| 10. |
- Arvidsson, Daniel, 1974
(författare)
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Physical activity and energy expenditure in clinical settings using multisensor activity monitors.
- 2009
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background: Objective methods need to replace subjective methods for accurate quantification of physical activity. To be used in clinical settings objective methods have to show high reliability, validity and feasibility. The commonly used activity monitors are unable to detect the variety of physical activities. Multisensor activity monitors have larger potential for a more accurate quantification of physical activity. Children who have undergone surgery for congenital heart defects have the possibility to a physical active lifestyle because of the progress in cardiac surgery and cardiology. Aims: To evaluate the ability of the multisensor activity monitors ActiReg, SenseWear Armband and IDEEA to assess physical activity and energy expenditure (I-IV), and to assess physical activity, sports participation and aerobic fitness in children who have undergone surgery for congenital heart defects (V). Methods: I) Patients with chronic obstructive pulmonary disease (COPD) wore the ActiReg during 7 days with doubly labelled water as criterion for energy expenditure; II-III) 11-13 years old children performed different physical activities while wearing the ActiReg, SenseWear Armband and IDEEA with indirect calorimetry as criterion for energy expenditure; IV) a new ActiReg algorithm calibrated in 11-13 years old children was tested in 14-15 years old children wearing the ActiReg but also the SenseWear Armband during 14 days using doubly labelled water as criterion for energy expenditure; V) children who have undergone surgery for congenital heart defects and healthy controls in the age-groups 9-11 and 14-16 years wore the ActiReg during 7 days, were interviewed about sports participation and performed a maximal exercise test with measured oxygen uptake for the assessment of aerobic fitness. Results: I) The ActiReg showed a mean (sd) accuracy of 99 (10) % in assessing energy expenditure in COPD patients; II-III) the accuracy of the SenseWear Armband and IDEEA in assessing energy expenditure varied between the different activities but showed an overall value of 81 (11) %/85 (8) % for the SenseWear Armband and 96 (10) % for the IDEEA; the SenseWear Armband showed increased underestimation with increasing intensity; the ActiReg algorithm overestimated moderate physical activity and the ActiReg had a limitation in registering vigorous physical activity; IV) the accuracy of the ActiReg with the new algorithm and the SenseWear Armband was 99 (11) % and 96 (10) %, both with increased underestimation with increasing intensity; V) children who have undergone surgery for congenital heart defects showed similar physical activity as the healthy controls but a tendency to lower amount of sports participation; in the older children, especially in boys, the patients had lower aerobic fitness; still, their amount of sports participation was considered high and their aerobic fitness moderate. Conclusions: The ActiReg, SenseWear Armband and IDEEA have to be improved to become accurate instruments in clinical settings. While children who have undergone surgery for congenital heart defects had a physical activity level comparable to healthy children, some of them may require support for their engagement in exercise and vigorous physical activity.
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