scholarly journals New strategies of physical activity assessment in cystic fibrosis: a pilot study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Daniela Savi ◽  
Luigi Graziano ◽  
Barbara Giordani ◽  
Stefano Schiavetto ◽  
Corrado De Vito ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cystic Fibrosis ◽  
Energy Expenditure ◽  
Electronic Device ◽  
Sensewear Armband ◽  
Activity Assessment ◽  
First Time ◽  
Step Number ◽  
New Strategies ◽  
Good Agreement

Abstract Background Regular physical activity (PA) is a valued part of cystic fibrosis (CF) care. Although the accelerometer, SenseWear Armband (SWA), accurately measures habitual PA in CF, it is mostly used for research purposes. For the first time, we analyzed different methods of measuring PA in daily life by the use of smartphones and other electronic devices such as smartwatch and Fitbit. Methods Twenty-four stable adults with CF (mean age 37.5 ± 11.5SD yrs.; FEV1 58 ± 19% predicted, BMI 22.9 ± 3.2) were studied. Daily PA was monitored for seven consecutive days. All patients wore the accelerometer SWA and at the same time they monitored PA with the electronic device they used routinely. They were allocated into one of four arms according to their device: Smartwatch, Fitbit, Android smartphones and iOS smartphones. PA related measurements included: duration of PA, energy expenditure, number of steps. Results There was a good agreement between SWA and Fitbit for number of steps (p = 0.605) and energy expenditure (p = 0.143). iOS smartphones were similar to SWA in monitoring the number of steps (p = 0.911). Significant differences were found between SWA and both Smartwatch and Android smartphones. Conclusions Fitbit and iOS smartphones seem to be a valuable approach to monitor daily PA. They provide a good performance to measure step number compared to SWA.

scholarly journals The Use of SenseWear Armband for Assessment of Daily Energy Expenditure and the Relation to Body Fat Distribution and Nutritional Intake in Lean Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gulcan Arusoglu
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Nutritional Intake ◽  
Control Group ◽  
Ovary Syndrome ◽  
Sensewear Armband ◽  
Segmental Body Composition

Objective. To evaluate nutritional intake, energy expenditure, and segmental body composition in lean women with polycystic ovary syndrome (PCOS) and compare them with age- and body mass index- (BMI-) matched control women. Methods. 32 nonobese patients with PCOS and 31 age- and BMI-matched healthy women were included in the study. Energy expenditure and physical activity level were assessed by metabolic Holter equipment (SenseWear Armband, SWA) which was never previously used in lean PCOS population. Food intake is recorded with 24 hours of food record. Segmental body composition analysis was assessed by bioelectrical impedance analyses (BIA). Results. Mean BMI was 22.64 ± 3.64 and 21.55 ± 2.77 kg/m2 (p=0.185) in PCOS and control groups, respectively. Mean age was 22.03 ± 4.21 and 21.71 ± 2.67 year (p=0.720), respectively. No significant differences were found in total energy intake and percentage of carbohydrates, fats, and other micronutrients (p>0.05). Energy percentage of proteins (%12.73 ± 1.98, p=0.008) was statistically lower in subjects versus the control group. The measurements of physical activity duration (PAD) (1.40 ± 0.87/2.18 ± 0.99 hours, p=0.002), active energy expenditure (372.35 ± 198.32/494.10 ± 186.50 kcal, p=0.018), and step counting (9370.03 ± 3587.49/11730.90 ± 3564.31 steps, p=0.013) measurement of the PCOS group were lower than the control group, respectively. Conclusions. New diagnosed women with PCOS had similar distribution and quantity of body fat parameters and nutritional status when compared to healthy women. Control subjects were found more active in energy expenditure.

scholarly journals Physical activity assessment in cystic fibrosis: A position statement

2015 ◽  
Vol 14 (6) ◽  
pp. e25-e32 ◽  
Author(s):  
Judy Bradley ◽  
Brenda O'Neill ◽  
Lisa Kent ◽  
Erik H.J. Hulzebos ◽  
Bert Arets ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cystic Fibrosis ◽  
Position Statement ◽  
Physical Activity Assessment ◽  
Activity Assessment

Assessment of physical activity in youth

2008 ◽  
Vol 105 (3) ◽  
pp. 977-987 ◽  
Author(s):  
Kirsten Corder ◽  
Ulf Ekelund ◽  
Rebekah M. Steele ◽  
Nicholas J. Wareham ◽  
Søren Brage
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Nonlinear Modeling ◽  
Habitual Physical Activity ◽  
Self Report ◽  
Multisensor Systems ◽  
Activity Assessment ◽  
Modeling Techniques ◽  
Biomechanical Changes

Despite much progress with physical activity assessment, the limitations concerning the accurate measurement of physical activity are often amplified in young people due to the cognitive, physiological, and biomechanical changes that occur during natural growth as well as a more intermittent pattern of habitual physical activity in youth compared with adults. This mini-review describes and compares methods to assess habitual physical activity in youth and discusses main issues regarding the use and interpretation of data collected with these techniques. Self-report instruments and movement sensing are currently the most frequently used methods for the assessment of physical activity in epidemiological research; others include heart rate monitoring and multisensor systems. Habitual energy expenditure can be estimated from these input measures with varying degree of uncertainty. Nonlinear modeling techniques, using accelerometry perhaps in combination with physiological parameters like heart rate or temperature, have the greatest potential for increasing the prediction accuracy of habitual physical activity energy expenditure. Although multisensor systems may be more accurate, this must be balanced against feasibility, a balance that shifts with technological and scientific advances and should be considered at the beginning of every new study.

Validation of a Noninvasive, Disposable Activity Monitor for Clinical Applications

2017 ◽  
Vol 14 (7) ◽  
pp. 546-551 ◽  
Author(s):  
Greg Welk ◽  
Youngwon Kim ◽  
Robin P. Shook ◽  
Laura Ellingson ◽  
Roberto L. Lobelo
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Behavior ◽  
Activity Monitor ◽  
Criterion Validity ◽  
Sensewear Armband ◽  
Statistical Equivalence ◽  
Activity Behavior ◽  
Highly Correlated ◽  
And Behavior

Background:The study evaluated the concurrent and criterion validity of a new, disposable activity monitor designed to provide objective data on physical activity and energy expenditure in clinical populations.Methods:A sample of healthy adults (n = 52) wore the disposable Metria IH1 along with the established Sensewear armband (SWA) monitor for a 1-week period. Concurrent validity was examined by evaluating the statistical equivalence of estimates from the Metria and the SWA. Criterion validity was examined by comparing the relative accuracy of the Metria IH1 and the SWA for assessing walking/running. The absolute validity of the 2 monitors was compared by computing correlations and mean absolute percent error (MAPE) relative to criterion data from a portable metabolic analyzer.Results:The output from 2 monitors was highly correlated (correlations > 0.90) and the summary measures yielded nearly identical allocations of time spent in physical activity and energy expenditure. The monitors yielded statistically equivalent estimates and had similar absolute validity relative to the criterion measure (12% to 15% error).Conclusions:The disposable nature of the adhesive Metria IH1 monitor offers promise for clinical evaluation of physical activity behavior in patients. Additional research is needed to test utility for counseling and behavior applications.

Validity of the SenseWear Armband to Assess Energy Expenditure in Graded Walking

2015 ◽  
Vol 12 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Mixed Model ◽  
Sensewear Armband ◽  
Mixed Model Anova ◽  
Significant Difference ◽  
Advance Research ◽  
Downhill Walking ◽  
Main Effects

Background:Accurate assessments of physical activity and energy expenditure (EE) are needed to advance research on positive and negative graded walking.Purpose:To evaluate the validity of 2 SenseWear Armband monitors (Pro3 and the recently released Mini) during graded walking.Methods:Twenty healthy adults wore both monitors during randomized walking activities on a motorized treadmill at 7 grades (0%, ±5%, ±15%, and ±25%). Estimates of total EE from the monitors were computed using different algorithms and compared with values derived from indirect calorimetry methodology using a 2-way mixed model ANOVA (Device × Condition), correlation analyses and Bland-Altman plots.Results:There was no significant difference in EE between the 2 armbands in any of the conditions examined. Significant main effects for device and condition, as well as a consistent bias, were observed during positive and negative graded walking with a greater over- and under-estimation at higher slope.Conclusions:Both the armbands produced similar EE values and seem to be not accurate in estimation of EE during activities involving uphill and downhill walking. Additional work is needed to understand factors contributing to this discrepancy and to improve the ability of these monitors to accurately measure EE during graded walking.

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