Literature DB >> 25719789

Physical activity assessment in the general population; instrumental methods and new technologies.

Raquel Aparicio-Ugarriza1, Juan Mielgo-Ayuso1, Pedro J Benito2, Raquel Pedrero-Chamizo1, Ignacio Ara3, Marcela González-Gross4.   

Abstract

The objective measurement of human movement and the quantification of energy expenditure due to physical activity is an identified need in both research and the clinical setting. Validated and well-defined reference methods (double labelled water, direct calorimetry, indirect calorimetry) are expensive and mostly limited to the laboratory setting. Therefore, in the last years, several objective measurement devices have been developed which are appropriate for field studies and clinical settings. There is no gold standard among them, as all have limitations. Pedometers are small, non-expensive, count the steps taken and give information on total physical activity, but not about physical activity patterns and behaviour. Accelerometers are expensive, save information about frequency and intensity of physical activity, but not about type of physical activity. Both pedometers and accelerometers only save information about lower body movement, but reliability about the estimation of energy expenditure is limited. Heart rate monitoring relates intensity to energy expenditure, but gives no information about physical activity. GPS watches are portable, relatively inexpensive, non-invasive and provide distance, speed, and elevation with exact time and location, but are maybe limited for the assessment of brief higher speed movement and energy expenditure. Combined motion sensors combine accelerometry with the measurement of physiological variables and share advantages of single devices and are more precise. Manufacturer software which applies activity-specific algorithms for the calculation of energy expenditure can affect energy expenditure results. Most of the devices estimate energy expenditure more accurately at light to moderate intensities; underestimation increases at very light and higher intensity activities. Copyright AULA MEDICA EDICIONES 2015. Published by AULA MEDICA. All rights reserved.

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Year:  2015        PMID: 25719789     DOI: 10.3305/nh.2015.31.sup3.8769

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  9 in total

1.  Is the SenseWear Armband accurate enough to quantify and estimate energy expenditure in healthy adults?

Authors:  Alejandro Santos-Lozano; Adrián Hernández-Vicente; Raúl Pérez-Isaac; Fernanda Santín-Medeiros; Carlos Cristi-Montero; Jose Antonio Casajús; Nuria Garatachea
Journal:  Ann Transl Med       Date:  2017-03

Review 2.  Motion Sensor Use for Physical Activity Data: Methodological Considerations.

Authors:  Margaret McCarthy; Margaret Grey
Journal:  Nurs Res       Date:  2015 Jul-Aug       Impact factor: 2.381

3.  Validation study of Polar V800 accelerometer.

Authors:  Adrián Hernández-Vicente; Alejandro Santos-Lozano; Katrien De Cocker; Nuria Garatachea
Journal:  Ann Transl Med       Date:  2016-08

4.  Physical Activity Patterns of the Spanish Population Are Mostly Determined by Sex and Age: Findings in the ANIBES Study.

Authors:  Juan Mielgo-Ayuso; Raquel Aparicio-Ugarriza; Adrián Castillo; Emma Ruiz; José Manuel Ávila; Javier Aranceta-Batrina; Ángel Gil; Rosa M Ortega; Lluis Serra-Majem; Gregorio Varela-Moreiras; Marcela González-Gross
Journal:  PLoS One       Date:  2016-02-25       Impact factor: 3.240

Review 5.  Comparison of psychometric properties between usual-week and past-week self-reported physical activity questionnaires: a systematic review.

Authors:  Kenji Doma; Renée Speyer; Anthony S Leicht; Reinie Cordier
Journal:  Int J Behav Nutr Phys Act       Date:  2017-01-31       Impact factor: 6.457

Review 6.  Objective measurement of physical activity outcomes in lifestyle interventions among adults: A systematic review.

Authors:  Valerie J Silfee; Christina F Haughton; Danielle E Jake-Schoffman; Andrea Lopez-Cepero; Christine N May; Meera Sreedhara; Milagros C Rosal; Stephenie C Lemon
Journal:  Prev Med Rep       Date:  2018-05-10

7.  Evaluation of Worksite Wellness Nutrition and Physical Activity Programs and Their Subsequent Impact on Participants' Body Composition.

Authors:  Victoria Sandercock; Jeanette Andrade
Journal:  J Obes       Date:  2018-12-03

8.  Comparison of psychometric properties between recall methods of interview-based physical activity questionnaires: a systematic review.

Authors:  Kenji Doma; Renée Speyer; Lauren Alese Parsons; Reinie Cordier
Journal:  BMC Med Res Methodol       Date:  2019-03-01       Impact factor: 4.615

9.  A study protocol for a clustered randomised controlled trial to evaluate the effectiveness of a peer-led school-based walking intervention on adolescent girls' physical activity: the Walking In ScHools (WISH) study.

Authors:  S Maria O'Kane; Angela Carlin; Alison M Gallagher; Ian M Lahart; Russell Jago; Maria Faulkner; Marie H Murphy
Journal:  BMC Public Health       Date:  2020-04-21       Impact factor: 3.295

  9 in total

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