Literature DB >> 22398686

Who provides accelerometry data? Correlates of adherence to wearing an accelerometry motion sensor: the 2008 Health Survey for England.

Marilyn A Roth1, Jennifer S Mindell.   

Abstract

BACKGROUND: Use of objective physical activity measures is rising. We investigated the representativeness of survey participants who wore an accelerometer.
METHODS: 4273 adults aged 16+ from a cross-sectional survey of a random, nationally representative general population sample in England in 2008 were categorized as 1) provided sufficient accelerometry data [4-7 valid days (10+ hrs/d), n = 1724], 2) less than that (n = 237), or 3) declined (n = 302). Multinomial logistic regression identified demographic, socioeconomic, health, lifestyle, and biological correlates of participants in these latter 2 groups, compared with those who provided sufficient accelerometry data (4+ valid days).
RESULTS: Those in the random subsample offered the accelerometer were older and more likely to be retired and to report having a longstanding limiting illness than the rest of the adult Health Survey for England participants. Compared with those providing sufficient accelerometry data, those wearing the accelerometer less were younger, less likely to be in paid employment, and more likely to be a current smoker. Those who declined to wear an accelerometer did not differ significantly from those who wore it for sufficient time.
CONCLUSIONS: We found response bias in wearing the accelerometers for sufficient time, but refusers did not differ from those providing sufficient data. Differences should be acknowledged by data users.

Entities:  

Mesh:

Year:  2012        PMID: 22398686     DOI: 10.1123/jpah.10.1.70

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  15 in total

1.  Enhanced motivational interviewing for reducing weight and increasing physical activity in adults with high cardiovascular risk: the MOVE IT three-arm RCT.

Authors:  Khalida Ismail; Daniel Stahl; Adam Bayley; Katherine Twist; Kurtis Stewart; Katie Ridge; Emma Britneff; Mark Ashworth; Nicole de Zoysa; Jennifer Rundle; Derek Cook; Peter Whincup; Janet Treasure; Paul McCrone; Anne Greenough; Kirsty Winkley
Journal:  Health Technol Assess       Date:  2019-12       Impact factor: 4.014

2.  Accelerometer adherence and performance in a cohort study of US Hispanic adults.

Authors:  Kelly R Evenson; Daniela Sotres-Alvarez; Y U Deng; Simon J Marshall; Carmen R Isasi; Dale W Esliger; Sonia Davis
Journal:  Med Sci Sports Exerc       Date:  2015-04       Impact factor: 5.411

3.  Repeat physical activity measurement by accelerometry among colorectal cancer patients--feasibility and minimal number of days of monitoring.

Authors:  Stephanie Skender; Petra Schrotz-King; Jürgen Böhm; Clare Abbenhardt; Biljana Gigic; Jenny Chang-Claude; Erin M Siegel; Karen Steindorf; Cornelia M Ulrich
Journal:  BMC Res Notes       Date:  2015-06-06

4.  Age- and sex-specific criterion validity of the health survey for England Physical Activity and Sedentary Behavior Assessment Questionnaire as compared with accelerometry.

Authors:  Shaun Scholes; Ngaire Coombs; Zeljko Pedisic; Jennifer S Mindell; Adrian Bauman; Alex V Rowlands; Emmanuel Stamatakis
Journal:  Am J Epidemiol       Date:  2014-05-26       Impact factor: 4.897

5.  Objectively-assessed and self-reported sedentary time in relation to multiple socioeconomic status indicators among adults in England: a cross-sectional study.

Authors:  Emmanuel Stamatakis; Ngaire Coombs; Alex Rowlands; Nicola Shelton; Melvyn Hillsdon
Journal:  BMJ Open       Date:  2014-11-05       Impact factor: 2.692

6.  Non-consent to a wrist-worn accelerometer in older adults: the role of socio-demographic, behavioural and health factors.

Authors:  Maliheh Hassani; Mika Kivimaki; Alexis Elbaz; Martin Shipley; Archana Singh-Manoux; Séverine Sabia
Journal:  PLoS One       Date:  2014-10-24       Impact factor: 3.240

Review 7.  Accelerometry and physical activity questionnaires - a systematic review.

Authors:  Stephanie Skender; Jennifer Ose; Jenny Chang-Claude; Michael Paskow; Boris Brühmann; Erin M Siegel; Karen Steindorf; Cornelia M Ulrich
Journal:  BMC Public Health       Date:  2016-06-16       Impact factor: 3.295

8.  Toddler physical activity study: laboratory and community studies to evaluate accelerometer validity and correlates.

Authors:  Erin R Hager; Candice E Gormley; Laura W Latta; Margarita S Treuth; Laura E Caulfield; Maureen M Black
Journal:  BMC Public Health       Date:  2016-09-06       Impact factor: 3.295

9.  Correlates of accelerometry non-adherence in an economically disadvantaged minority urban adult population.

Authors:  Matthew S Cato; Katarzyna Wyka; Emily B Ferris; Kelly R Evenson; Fang Wen; Joan M Dorn; Lorna E Thorpe; Terry T-K Huang
Journal:  J Sci Med Sport       Date:  2020-02-05       Impact factor: 4.597

10.  Characteristics associated with non-participation in 7-day accelerometry.

Authors:  Franziska Weymar; Janina Braatz; Diana Guertler; Neeltje van den Berg; Christian Meyer; Ulrich John; Stephan B Felix; Marcus Dörr; Sabina Ulbricht
Journal:  Prev Med Rep       Date:  2015-05-13
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