Literature DB >> 34708190

Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health.

John Bellettiere1, Fatima Tuz-Zahra1, Jordan A Carlson2, Nicola D Ridgers3, Sandy Liles1, Mikael Anne Greenwood-Hickman4, Rod L Walker4, Andrea Z LaCroix1, Marta M Jankowska5, Dori E Rosenberg4, Loki Natarajan1.   

Abstract

Little is known about how sedentary behaviour (SB) metrics derived from hip-worn and thigh-worn accelerometers agree for older adults. Thigh-worn activPAL micro monitors were concurrently worn with hip-worn ActiGraph GT3X+ accelerometers (with SB measured using the 100 count-per-minute (cpm) cut-point; ActiGraph100cpm) by 953 older adults (age 77±6.6, 54% women) for 4-to-7 days. Device agreement for sedentary time and 5 SB pattern metrics was assessed using mean error and correlations. Logistic regression tested associations with 4 health outcomes using standardized (i.e., z-scores) and unstandardized SB metrics. Mean errors (activPAL-ActiGraph100cpm) and 95% limits of agreement were: sedentary time -54.7(-223.4,113.9) min/d; time in 30+ minute bouts 77.6(-74.8,230.1) min/d; mean bout duration 5.9(0.5,11.4) min; usual bout duration 15.2(0.4,30) min; breaks in sedentary time -35.4(-63.1,-7.6) breaks/d; and alpha -0.5(-0.6,-0.4). Respective Pearson correlations were: 0.66, 0.78, 0.73, 0.79, 0.51, 0.40. Concordance correlations were: 0.57, 0.67, 0.40, 0.50, 0.14, 0.02. The statistical significance and direction of associations was identical for ActiGraph100cpm and activPAL metrics in 46 of 48 tests, though significant differences in the magnitude of odds ratios were observed among 9 of 24 tests for unstandardized and 2 of 24 for standardized SB metrics. Caution is needed when interpreting SB metrics and associations with health from ActiGraph100cpm due to the tendency for it to overestimate breaks in sedentary time relative to activPAL. However, high correlations between activPAL and ActiGraph100cpm measures and similar standardized associations with health outcomes suggest that studies using ActiGraph100cpm are useful, though not ideal, for studying SB in older adults.

Entities:  

Keywords:  Sedentary accumulation patterns; frailty and physical function; measurement; physical activity; sedentary behaviour patterns; sitting time

Year:  2021        PMID: 34708190      PMCID: PMC8547742          DOI: 10.1123/jmpb.2020-0036

Source DB:  PubMed          Journal:  J Meas Phys Behav        ISSN: 2575-6605


  36 in total

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2.  Agreement between methods of measurement with multiple observations per individual.

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3.  The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

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Journal:  Int Psychogeriatr       Date:  2015-04-29       Impact factor: 3.878

5.  Prolonged, Uninterrupted Sedentary Behavior and Glycemic Biomarkers Among US Hispanic/Latino Adults: The HCHS/SOL (Hispanic Community Health Study/Study of Latinos).

Authors:  Keith M Diaz; Jeff Goldsmith; Heather Greenlee; Garrett Strizich; Qibin Qi; Yasmin Mossavar-Rahmani; Denise C Vidot; Christina Buelna; Carrie E Brintz; Tali Elfassy; Linda C Gallo; Martha L Daviglus; Daniela Sotres-Alvarez; Robert C Kaplan
Journal:  Circulation       Date:  2017-08-23       Impact factor: 29.690

6.  Sustained and shorter bouts of physical activity are related to cardiovascular health.

Authors:  Nicole L Glazer; Asya Lyass; Dale W Esliger; Susan J Blease; Patty S Freedson; Joseph M Massaro; Joanne M Murabito; Ramachandran S Vasan
Journal:  Med Sci Sports Exerc       Date:  2013-01       Impact factor: 5.411

7.  The Cognitive Abilities Screening Instrument (CASI): a practical test for cross-cultural epidemiological studies of dementia.

Authors:  E L Teng; K Hasegawa; A Homma; Y Imai; E Larson; A Graves; K Sugimoto; T Yamaguchi; H Sasaki; D Chiu
Journal:  Int Psychogeriatr       Date:  1994       Impact factor: 3.878

8.  Trends in Adherence to the Physical Activity Guidelines for Americans for Aerobic Activity and Time Spent on Sedentary Behavior Among US Adults, 2007 to 2016.

Authors:  Yang Du; Buyun Liu; Yangbo Sun; Linda G Snetselaar; Robert B Wallace; Wei Bao
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Review 9.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

10.  Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults: A National Cohort Study.

Authors:  Keith M Diaz; Virginia J Howard; Brent Hutto; Natalie Colabianchi; John E Vena; Monika M Safford; Steven N Blair; Steven P Hooker
Journal:  Ann Intern Med       Date:  2017-09-12       Impact factor: 25.391

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2.  Associations Between Perceived Neighborhood Walkability and Device-Based Physical Activity and Sedentary Behavior Patterns in Older Adults.

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3.  Cohort profile: the Women's Health Accelerometry Collaboration.

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4.  A Standardised Core Outcome Set for Measurement and Reporting Sedentary Behaviour Interventional Research: The CROSBI Consensus Study.

Authors:  Fiona Curran; Kieran P Dowd; Casey L Peiris; Hidde P van der Ploeg; Mark S Tremblay; Grainne O'Donoghue
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5.  Association of Accelerometer-Measured Sedentary Accumulation Patterns With Incident Cardiovascular Disease, Cancer, and All-Cause Mortality.

Authors:  Paddy C Dempsey; Tessa Strain; Elisabeth A H Winkler; Kate Westgate; Kirsten L Rennie; Nicholas J Wareham; Soren Brage; Katrien Wijndaele
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