Stronger Association between High Intensity Physical Activity and Cardiometabolic Health with Improved Assessment of the Full Intensity Range Using Accelerometry

Fridolfsson, Jonatan; Börjesson, Mats; Ekblom-Bak, Elin; Ekblom, Örjan; Arvidsson, Daniel

doi:10.3390/s20041118

Cited by 13 publications

(29 citation statements)

References 27 publications

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“…This included data processing based on a 10 Hz low-pass filter instead of the proprietary 1.6 Hz ActiGraph low-pass filter [ 33 ], and an epoch length of three seconds. This procedure enabled us to analyze higher-intensity activity data with better validity [ 33 , 35 ]. However, data analyzed with this method are not directly comparable to data analyzed with other methods.…”

Section: Discussionmentioning

confidence: 99%

“…The 10 Hz method has shown higher validity in identifying high intensity PA [ 33 , 34 ]. In addition, 10 Hz filtered data were more strongly related to markers of cardio metabolic health than data filtered at 1.6 Hz [ 35 ]. An epoch length of three seconds was applied and outputs from the three separate accelerometer axes were combined to a vector magnitude.…”

Section: Methodsmentioning

confidence: 99%

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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

Larisch

Bojsen-Møller

Nooijen

et al. 2021

IJERPH

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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 suggested 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 cardiorespiratory 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, neither 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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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Effects of Two Randomized and Controlled Multi-Component Interventions Focusing On 24-Hour Movement Behavior among Office Workers: A Compositional Data Analysis

Larisch

Bojsen-Møller

Nooijen

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

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“…• Outcome/results are often presented as time spent in crude physical activity intensity categories (SED, LPA, MPA, VPA, and VVPA) 28 • It has been suggested to present and analyse the physical activity as a high-resolution physical activity intensity spectrum 74,75,77,78 • Even if higher intensities appear particularly beneficial to health, 74,77,78 they only account for a fraction of time spent in physical activity when measured in minutes per day, even in very active individuals. The physical activity intensity spectrum allows more detailed inspection of the physical activity and may reveal physical activity patterns otherwise hidden when applying crude physical activity intensity categories • With cut-points varying greatly among studies, and scaling of cut-points to fit the wanted epoch length being performed, the risk of confusion is assumed to be highly present when comparing and contrasting the results (Continued) 10 P. Skovdahl et al…”

Section: Processingmentioning

confidence: 99%

Physical activity in children and adolescents with CHD: review from a measurement methodological perspective

2021

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Aim: To compile a literature overview of physical activity in children with CHD and to critically evaluate the methodology used for physical activity assessment. Methods: A review of the literature was performed using PubMed to identify studies examining accelerometer and subjectively assessed physical activity in children and adolescents with CHD. Result: A total of 15 studies were included (6 studies using subjective measures and 9 articles using accelerometers for the assessment of physical activity). The patients generally failed to meet the recommendations of physical activity. When compared to healthy controls, the results were widely divergent in the subjectively assessed measures and the accelerometer-based studies showed a tendency of no difference in physical activity. Neither subjective methods nor accelerometer-based studies reported any difference in physical activity in general, in relation to the severity of the heart disease. Conclusion: Methodological variation and limitations in the assessment of physical activity largely explain the divergent results and the inability to establish differences in physical activity between children with CHD of different severity and compared to healthy controls. Methodological knowledge and guidelines are provided for improved assessment of physical activity using accelerometers in clinical research.

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“…These measurement errors are more prominent in children due to their movement patterns compared to in older individuals. Recent methodological developments have improved assessment of PA [ 4 , 18 – 21 ] and the association with cardiometabolic health [ 22 ]. These improvements may help to clarify the uncertainties regarding the PA level of children and adolescents with CHD.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of the present study was to compare PA patterns between children and adolescents treated for VAS and healthy controls using new improved accelerometer assessment with the Frequency Extended Method (FEM) [ 18 – 21 ] and a detailed spectrum of PA intensities [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Children and Adolescents Treated for Valvular Aortic Stenosis Have Different Physical Activity Patterns Compared to Healthy Controls: A Methodological Study in a National Cohort

et al. 2021

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Previous research in children and adolescents with congenital heart defects presents contradictory findings concerning their physical activity (PA) level, due to methodological limitations in the PA assessment. The aim of the present cross-sectional study was to compare PA in children and adolescents treated for valvular aortic stenosis with healthy controls using an improved accelerometer method. Seven-day accelerometer data were collected from the hip in a national Swedish sample of 46 patients 6–18 years old treated for valvular aortic stenosis and 44 healthy controls matched for age, gender, geography, and measurement period. Sports participation was self-reported. Accelerometer data were processed with the new improved Frequency Extended Method and with the traditional ActiGraph method for comparison. A high-resolution PA intensity spectrum was investigated as well as traditional crude PA intensity categories. Children treated for aortic stenosis had a pattern of less PA in the highest intensity spectra and had more sedentary time, while the adolescent patients tended to be less physically active in higher intensities overall and with less sedentary time, compared to the controls. These patterns were evident using the Frequency Extended Method with the detailed PA intensity spectrum, but not to the same degree using the ActiGraph method and traditional crude PA intensity categories. Patients reported less sports participation than their controls in both age-groups. Specific differences in PA patterns were revealed using the Frequency Extended Method with the high-resolution PA intensity spectrum in Swedish children and adolescents treated for valvular aortic stenosis.

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Stronger Association between High Intensity Physical Activity and Cardiometabolic Health with Improved Assessment of the Full Intensity Range Using Accelerometry

Cited by 13 publications

References 27 publications

Effects of Two Randomized and Controlled Multi-Component Interventions Focusing On 24-Hour Movement Behavior among Office Workers: A Compositional Data Analysis

Effects of Two Randomized and Controlled Multi-Component Interventions Focusing On 24-Hour Movement Behavior among Office Workers: A Compositional Data Analysis

Physical activity in children and adolescents with CHD: review from a measurement methodological perspective

Children and Adolescents Treated for Valvular Aortic Stenosis Have Different Physical Activity Patterns Compared to Healthy Controls: A Methodological Study in a National Cohort

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