Literature DB >> 20040120

Physical activity monitoring in obese people in the real life environment.

Maria Grazia Benedetti1, Annalisa Di Gioia, Linda Conti, Lisa Berti, Linda Degli Esposti, Giulietta Tarrini, Nazario Melchionda, Sandro Giannini.   

Abstract

BACKGROUND: Obesity is a major problem especially in western countries and several studies underline the importance of physical activity to enhance diet. Currently there is increasing interest in instruments for monitoring daily physical activity. The purpose of this pilot study was to appraise the qualitative and quantitative differences in physical activities and gait analysis parameters in control and obese subjects by means of an innovative tool for the monitoring of physical activity.
METHODS: Twenty-six obese patients, 16 women and 10 men, aged 22 to 69 years with Body Mass Index (BMI) between 30 and 51.4 kg/m2, were compared with 15 control subjects, 4 men and 11 women, aged 24 to 69 with BMI between 18 and 25 kg/m2 during daily physical activities. The IDEEA device (Minisun, Fresno, CA), based on a wearable system of biaxial accelerometers and able to continuously record the physical activities and energy expenditure of a subject in time was used. Time spent in different physical activities such as standing, sitting, walking, lying, reclining, stepping, energy expenditure and gait parameters (velocity, stance duration, etc) were measured during a 24-hours period.
RESULTS: A trend toward a reduced number of steps was present, associated to reduced speed, reduced cadence and reduced rate of single and double limb support (SLS/DLS). Moreover, obese people spent significant less time stepping, less time lying and more time in a sitting or reclined position during the night. The energy expenditure during a 24-hours period was higher in the obese compared to controls.
CONCLUSIONS: The study provided objective parameters to differentiate the daily motor activity of obese subjects with respect to controls, even a larger population is required to confirm these findings. The device used can be of support in programming educational activities for life style modification in obese people as well as for monitoring the results of various kinds of intervention in these patients concerning weight and physical performance.

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Mesh:

Year:  2009        PMID: 20040120      PMCID: PMC2808303          DOI: 10.1186/1743-0003-6-47

Source DB:  PubMed          Journal:  J Neuroeng Rehabil        ISSN: 1743-0003            Impact factor:   4.262


  33 in total

1.  Physical activity assessment with accelerometers.

Authors:  K R Westerterp
Journal:  Int J Obes Relat Metab Disord       Date:  1999-04

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Authors:  Magali Poulain; Mariève Doucet; Geneviève C Major; Vicky Drapeau; Frédéric Sériès; Louis-Philippe Boulet; Angelo Tremblay; François Maltais
Journal:  CMAJ       Date:  2006-04-25       Impact factor: 8.262

Review 3.  [Measurement and assessment of habitual physical activity in epidemiological studies].

Authors:  Gie Ken-Dror; Yehuda Lerman; Shlomo Segev; Rachel Dankner
Journal:  Harefuah       Date:  2005-03

4.  An artificial neural network model of energy expenditure using nonintegrated acceleration signals.

Authors:  Megan P Rothney; Megan Neumann; Ashley Béziat; Kong Y Chen
Journal:  J Appl Physiol (1985)       Date:  2007-07-19

5.  Functional recovery of muscles after minimally invasive total hip arthroplasty.

Authors:  Samuel R Ward; Richard E Jones; William T Long; Debra J Thomas; Lawrence D Dorr
Journal:  Instr Course Lect       Date:  2008

6.  The physical activity scale for the elderly (PASE): evidence for validity.

Authors:  R A Washburn; E McAuley; J Katula; S L Mihalko; R A Boileau
Journal:  J Clin Epidemiol       Date:  1999-07       Impact factor: 6.437

7.  Reliability and validity of bilateral thigh and foot accelerometry measures of walking in healthy and hemiparetic subjects.

Authors:  Kaveh Saremi; Jon Marehbian; Xiaohong Yan; Jean-Philippe Regnaux; Robert Elashoff; Bernard Bussel; Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2006-06       Impact factor: 3.919

8.  Gait and postural stability in obese and nonobese prepubertal boys.

Authors:  B McGraw; B A McClenaghan; H G Williams; J Dickerson; D S Ward
Journal:  Arch Phys Med Rehabil       Date:  2000-04       Impact factor: 3.966

9.  Effect of weight loss on resting energy expenditure in obese prepubertal children.

Authors:  C Maffeis; Y Schutz; L Pinelli
Journal:  Int J Obes Relat Metab Disord       Date:  1992-01

10.  Ambulatory measurement of knee motion and physical activity: preliminary evaluation of a smart activity monitor.

Authors:  James Huddleston; Amer Alaiti; Dov Goldvasser; Donna Scarborough; Andrew Freiberg; Harry Rubash; Henrik Malchau; William Harris; David Krebs
Journal:  J Neuroeng Rehabil       Date:  2006-09-13       Impact factor: 4.262

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  11 in total

1.  An exploratory study of activity in veterans with Parkinson's disease.

Authors:  Marilyn Trail; Nancy J Petersen; Naomi Nelson; Eugene C Lai
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2.  Physical activity in the post-hip-fracture period.

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Authors:  Catrine Tudor-Locke; David A Rowe
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5.  Genotype, resilience and function and physical activity post hip fracture.

Authors:  Barbara Resnick; N Jennifer Klinedinst; Laura Yerges-Armstrong; Jay Magaziner; Denise Orwig; Marc C Hochberg; Ann L Gruber-Baldini; Susan G Dorsey
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Review 6.  A review of wearable sensors and systems with application in rehabilitation.

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Journal:  J Neuroeng Rehabil       Date:  2012-04-20       Impact factor: 4.262

Review 7.  A review of accelerometry-based wearable motion detectors for physical activity monitoring.

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Journal:  Sensors (Basel)       Date:  2010-08-20       Impact factor: 3.576

8.  Accuracy of a custom physical activity and knee angle measurement sensor system for patients with neuromuscular disorders and gait abnormalities.

Authors:  Frank Feldhege; Anett Mau-Moeller; Tobias Lindner; Albert Hein; Andreas Markschies; Uwe Klaus Zettl; Rainer Bader
Journal:  Sensors (Basel)       Date:  2015-05-06       Impact factor: 3.576

9.  Amount and intensity of daily living activities in Charcot-Marie-Tooth 1A patients.

Authors:  Federica Menotti; Luca Laudani; Antonello Damiani; Andrea Macaluso
Journal:  Brain Behav       Date:  2013-10-30       Impact factor: 2.708

10.  An API for Wearable Environments Development and Its Application to mHealth Field .

Authors:  Fabio Sartori
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