Literature DB >> 24389829

A guide to assessing physical activity using accelerometry in cancer patients.

J M Broderick1, J Ryan, D M O'Donnell, J Hussey.   

Abstract

Increased physical activity (PA) has been associated with a decreased risk for the occurrence and recurrence of many cancers. PA is an important outcome measure in rehabilitation interventions within cancer and may be used as a proxy measure of recovery or deterioration in health status following treatment and in the palliative care setting. PA is a complex multi-dimensional construct which is challenging to measure accurately. Factors such as technical precision and feasibility influence the choice of PA measurement tool. Laboratory-based methods are precise and mainly used for validation purposes, but their clinical applicability is limited. Self-report methods such as questionnaires are widely used due to their simplicity and reasonable cost; however, accuracy can be questionable. Objective methods such as pedometers measure step count but do not measure intensity, frequency or duration of activity. Accelerometers can measure PA behaviour at both ends of the movement spectrum from sedentary to vigorous levels of activity and can also provide objective data about the frequency, intensity, type and duration of PA. Balancing precision with ease of use, accelerometry may be the best measure of PA in cancer-based studies, but only a small number of studies have incorporated this measurement. This review will provide a background to PA and an overview of accelerometer measurement as well as technical and practical considerations, so this useful tool could be more widely incorporated into clinical trial research within cancer.

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Year:  2014        PMID: 24389829     DOI: 10.1007/s00520-013-2102-2

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  59 in total

1.  Exploring physical activity level in patients with thoracic cancer: implications for use as an outcome measure.

Authors:  Matthew Maddocks; Andrew Wilcock
Journal:  Support Care Cancer       Date:  2012-02-05       Impact factor: 3.603

2.  Amount of time spent in sedentary behaviors in the United States, 2003-2004.

Authors:  Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano
Journal:  Am J Epidemiol       Date:  2008-02-25       Impact factor: 4.897

3.  The evolving definition of "sedentary".

Authors:  Russell R Pate; Jennifer R O'Neill; Felipe Lobelo
Journal:  Exerc Sport Sci Rev       Date:  2008-10       Impact factor: 6.230

Review 4.  Walking and measurement.

Authors:  David R Bassett; Matthew T Mahar; David A Rowe; James R Morrow
Journal:  Med Sci Sports Exerc       Date:  2008-07       Impact factor: 5.411

5.  Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis.

Authors:  Cheryl A Howe; John W Staudenmayer; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2009-12       Impact factor: 5.411

6.  A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations.

Authors:  Kate Lyden; Sarah L Kozey; John W Staudenmeyer; Patty S Freedson
Journal:  Eur J Appl Physiol       Date:  2010-09-15       Impact factor: 3.078

7.  Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.

Authors:  Mary E Rosenberger; William L Haskell; Fahd Albinali; Selene Mota; Jason Nawyn; Stephen Intille
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

8.  'Pragmatic randomized controlled trial of individually prescribed exercise versus usual care in a heterogeneous cancer survivor population': a feasibility study PEACH trial: prescribed exercise after chemotherapy.

Authors:  Julie M Walsh; Juliette Hussey; Emer Guinan; Dearbhaile O' Donnell
Journal:  BMC Cancer       Date:  2010-02-15       Impact factor: 4.430

9.  Objective physical activity and self-reported quality of life in patients receiving palliative chemotherapy.

Authors:  Max Dahele; Richard J E Skipworth; Lucy Wall; Anne Voss; Tom Preston; Kenneth C H Fearon
Journal:  J Pain Symptom Manage       Date:  2007-03-23       Impact factor: 3.612

10.  The Alberta moving beyond breast cancer (AMBER) cohort study: a prospective study of physical activity and health-related fitness in breast cancer survivors.

Authors:  Kerry S Courneya; Jeff K Vallance; S Nicole Culos-Reed; Margaret L McNeely; Gordon J Bell; John R Mackey; Yutaka Yasui; Yan Yuan; Charles E Matthews; David Cw Lau; Diane Cook; Christine M Friedenreich
Journal:  BMC Cancer       Date:  2012-11-16       Impact factor: 4.430

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  30 in total

1.  A randomized trial of diet and physical activity in women treated for stage II-IV ovarian cancer: Rationale and design of the Lifestyle Intervention for Ovarian Cancer Enhanced Survival (LIVES): An NRG Oncology/Gynecologic Oncology Group (GOG-225) Study.

Authors:  Cynthia A Thomson; Tracy E Crane; Austin Miller; David O Garcia; Karen Basen-Engquist; David S Alberts
Journal:  Contemp Clin Trials       Date:  2016-07-06       Impact factor: 2.226

2.  Heart rate recovery and aerobic endurance capacity in cancer survivors: interdependence and exercise-induced improvements.

Authors:  Daniel Niederer; Lutz Vogt; Javier Gonzalez-Rivera; Katharina Schmidt; Winfried Banzer
Journal:  Support Care Cancer       Date:  2015-04-03       Impact factor: 3.603

3.  Validation of the Godin-Shephard Leisure-Time Physical Activity Questionnaire classification coding system using accelerometer assessment among breast cancer survivors.

Authors:  Steve Amireault; Gaston Godin; Jason Lacombe; Catherine M Sabiston
Journal:  J Cancer Surviv       Date:  2015-02-10       Impact factor: 4.442

Review 4.  Key determinants of energy expenditure in cancer and implications for clinical practice.

Authors:  S A Purcell; S A Elliott; V E Baracos; Q S C Chu; C M Prado
Journal:  Eur J Clin Nutr       Date:  2016-06-08       Impact factor: 4.016

Review 5.  The Value of Patient Reported Outcomes and Other Patient-Generated Health Data in Clinical Hematology.

Authors:  Hemant S Murthy; William A Wood
Journal:  Curr Hematol Malig Rep       Date:  2015-09       Impact factor: 3.952

6.  The use of eHealth to promote physical activity in cancer survivors: a systematic review.

Authors:  Ciarán Haberlin; Tom O'Dwyer; David Mockler; Jonathan Moran; Dearbhaile M O'Donnell; Julie Broderick
Journal:  Support Care Cancer       Date:  2018-06-16       Impact factor: 3.603

7.  Predictors of physical activity in colorectal cancer survivors after participation in a telephone-delivered multiple health behavior change intervention.

Authors:  A L Hawkes; T A Patrao; P Baade; B M Lynch; K S Courneya
Journal:  J Cancer Surviv       Date:  2014-08-08       Impact factor: 4.442

Review 8.  Physical activity and cancer survivorship.

Authors:  David O Garcia; Cynthia A Thomson
Journal:  Nutr Clin Pract       Date:  2014-10-21       Impact factor: 3.080

9.  Measuring activity in patients with sarcoidosis - a pilot trial of two wrist-worn accelerometer devices.

Authors:  Christopher P Atkins; Andy P Jones; Andrew M Wilson
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

10.  Feasibility and acceptability of intensive longitudinal data collection of activity and patient-reported outcomes during chemotherapy for breast cancer.

Authors:  Payton Solk; Kara Gavin; Jason Fanning; Whitney Welch; Gillian Lloyd; Alison Cottrell; Anne Nielsen; Cesar A Santa Maria; William Gradishar; Seema A Khan; Swati Kulkarni; Juned Siddique; Siobhan M Phillips
Journal:  Qual Life Res       Date:  2019-09-06       Impact factor: 4.147

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