Literature DB >> 24311601

Clinical use of objective measures of physical activity.

Stewart G Trost1, Margaret O'Neil.   

Abstract

With measurement of physical activity becoming more common in clinical practice, it is imperative that healthcare professionals become more knowledgeable about the different methods available to objectively measure physical activity behaviour. Objective measures do not rely on information provided by the patient, but instead measure and record the biomechanical or physiological consequences of performing physical activity, often in real time. As such, objective measures are not subject to the reporting bias or recall problems associated with self-report methods. The purpose of this article was to provide an overview of the different methods used to objectively measure physical activity in clinical practice. The review was delimited to heart rate monitoring, accelerometers and pedometers since their small size, low participant burden and relatively low cost make these objective measures appropriate for use in clinical practice settings. For each measure, strengths and weakness were discussed; and whenever possible, literature-based examples of implementation were provided.

Entities:  

Keywords:  Evaluation; Exercise; Measurement

Mesh:

Year:  2013        PMID: 24311601     DOI: 10.1136/bjsports-2013-093173

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  35 in total

Review 1.  Critical evaluation of physical activity questionnaires translated to Brazilian-Portuguese: a systematic review on cross-cultural adaptation and measurements properties.

Authors:  Fernanda Gonçalves Silva; Crystian Bitencourt Oliveira; Thalysi Mayumi Hisamatsu; Ruben Faria Negrão Filho; Caio Russo Dutra Rodrigues; Marcia Rodrigues Franco; Rafael Zambelli Pinto
Journal:  Braz J Phys Ther       Date:  2019-05-05       Impact factor: 3.377

2.  Relationships among affective states, physical activity, and sedentary behavior in children: Moderation by perceived stress.

Authors:  Cheng K Fred Wen; Yue Liao; Jaclyn P Maher; Jimi Huh; Britni R Belcher; Eldin Dzubur; Genevieve F Dunton
Journal:  Health Psychol       Date:  2018-10       Impact factor: 4.267

3.  Letter to the editor: Do activity levels increase after total hip and knee arthroplasty?

Authors:  Mirko Brandes; Dieter Rosenbaum
Journal:  Clin Orthop Relat Res       Date:  2014-06-26       Impact factor: 4.176

4.  Decision Trees for Detection of Activity Intensity in Youth with Cerebral Palsy.

Authors:  Stewart G Trost; Maria Fragala-Pinkham; Nancy Lennon; Margaret E O'Neil
Journal:  Med Sci Sports Exerc       Date:  2016-05       Impact factor: 5.411

5.  Physical activity and exercise during preoperative pancreatic cancer treatment.

Authors:  Nathan H Parker; An Ngo-Huang; Rebecca E Lee; Daniel P O'Connor; Karen M Basen-Engquist; Maria Q B Petzel; Xuemei Wang; Lianchun Xiao; David R Fogelman; Keri L Schadler; Richard J Simpson; Jason B Fleming; Jeffrey E Lee; Gauri R Varadhachary; Sunil K Sahai; Matthew H G Katz
Journal:  Support Care Cancer       Date:  2018-10-17       Impact factor: 3.603

6.  Objectively measured physical activity and cognitive functioning in breast cancer survivors.

Authors:  Catherine R Marinac; Suneeta Godbole; Jacqueline Kerr; Loki Natarajan; Ruth E Patterson; Sheri J Hartman
Journal:  J Cancer Surviv       Date:  2014-10-11       Impact factor: 4.442

Review 7.  Associations Between Measures of Physical Activity and Muscle Size and Strength: A Systematic Review.

Authors:  Zachary P Rostron; Rodney A Green; Michael Kingsley; Anita Zacharias
Journal:  Arch Rehabil Res Clin Transl       Date:  2021-03-27

8.  Long term effects of self-determination theory and motivational interviewing in a web-based physical activity intervention: randomized controlled trial.

Authors:  Stijn A H Friederichs; Anke Oenema; Catherine Bolman; Lilian Lechner
Journal:  Int J Behav Nutr Phys Act       Date:  2015-08-18       Impact factor: 6.457

9.  Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand.

Authors:  Minna Aittasalo; Henri Vähä-Ypyä; Tommi Vasankari; Pauliina Husu; Anne-Mari Jussila; Harri Sievänen
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-08-07

10.  Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour.

Authors:  Barbora Silarova; Joanne Lucas; Adam S Butterworth; Emanuele Di Angelantonio; Christine Girling; Kathryn Lawrence; Stuart Mackintosh; Carmel Moore; Rupert A Payne; Stephen J Sharp; Guy Shefer; Zoe Tolkien; Juliet Usher-Smith; Matthew Walker; John Danesh; Simon Griffin
Journal:  BMC Public Health       Date:  2015-09-07       Impact factor: 3.295

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