Literature DB >> 28977340

Evaluating Accelerometry Thresholds for Detecting Changes in Levels of Moderate Physical Activity and Resulting Major Mobility Disability.

W Jack Rejeski1, Michael P Walkup2, Roger A Fielding3, Abby C King4, Todd Manini5, Anthony P Marsh1, Mary McDermott6, Emily Y Miller2, Anne B Newman7, Catrine Tudor-Locke8, Robert S Axtell9, Michael E Miller2.   

Abstract

Background: An important decision with accelerometry is the threshold in counts per minute (CPM) used to define moderate to vigorous physical activity (MVPA). We explore the ability of different thresholds to track changes in MVPA due to a physical activity (PA) intervention among older adults with compromised function: 760 CPM, 1,041 CPM, and an individualized threshold. We also evaluate the ability of change in accelerometry and self-reported PA to attenuate treatment effects on major mobility disability (MMD).
Methods: Data from a week of hip worn accelerometers and self-reported PA data (30-day recall) were examined from baseline, 6-, 12-, and 24-months of follow-up on 1,528 older adults. Participants were randomized to either PA or Health Education (HE). MMD was objectively defined by loss of ability to walk 400 m during the follow-up.
Results: The three thresholds yielded similar and higher levels of MVPA for PA than HE (p < .001), however, this difference was significantly attenuated in participants with lower levels of physical function. Self-reported PA that captured both walking and strength training totally attenuated the intervention effect for MMD, an 18% reduction to a 3% increase. Accelerometer CPMs showed less attenuation of the intervention effect. Conclusions: Accelerometry assessment within the LIFE study was not sensitive to change in level in physical activity for older adults with very low levels of physical function. A combination of self-report and objective measures are recommended for use in physical activity intervention studies of the elderly; limitations of accelerometry deserve closer attention.

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Year:  2018        PMID: 28977340      PMCID: PMC5905614          DOI: 10.1093/gerona/glx132

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  19 in total

1.  Analysis and Interpretation of Accelerometry Data in Older Adults: The LIFE Study.

Authors:  W Jack Rejeski; Anthony P Marsh; Peter H Brubaker; Matthew Buman; Roger A Fielding; Don Hire; Todd Manini; Alvito Rego; Michael E Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-10-29       Impact factor: 6.053

Review 2.  Calibration of accelerometer output for adults.

Authors:  Charles E Matthew
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

3.  Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association.

Authors:  Miriam E Nelson; W Jack Rejeski; Steven N Blair; Pamela W Duncan; James O Judge; Abby C King; Carol A Macera; Carmen Castaneda-Sceppa
Journal:  Circulation       Date:  2007-08-01       Impact factor: 29.690

4.  Estimating absolute and relative physical activity intensity across age via accelerometry in adults.

Authors:  Nora E Miller; Scott J Strath; Ann M Swartz; Susan E Cashin
Journal:  J Aging Phys Act       Date:  2010-04       Impact factor: 1.961

5.  CHAMPS physical activity questionnaire for older adults: outcomes for interventions.

Authors:  A L Stewart; K M Mills; A C King; W L Haskell; D Gillis; P L Ritter
Journal:  Med Sci Sports Exerc       Date:  2001-07       Impact factor: 5.411

6.  Accelerometer assessment of physical activity in active, healthy older adults.

Authors:  Jennifer L Copeland; Dale W Esliger
Journal:  J Aging Phys Act       Date:  2009-01       Impact factor: 1.961

7.  Lifestyle interventions and independence for elders study: recruitment and baseline characteristics.

Authors:  Anthony P Marsh; Laura C Lovato; Nancy W Glynn; Kimberly Kennedy; Cynthia Castro; Kathryn Domanchuk; Erica McDavitt; Ruben Rodate; Michael Marsiske; Joanne McGloin; Erik J Groessl; Marco Pahor; Jack M Guralnik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-05-28       Impact factor: 6.053

8.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

9.  Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level.

Authors:  Cemal Ozemek; Heather L Cochran; Scott J Strath; Wonwoo Byun; Leonard A Kaminsky
Journal:  BMC Med Res Methodol       Date:  2013-04-01       Impact factor: 4.615

10.  Physical activity and sedentary behavior patterns using accelerometry from a national sample of United States adults.

Authors:  Kelly R Evenson; Fang Wen; Jesse S Metzger; Amy H Herring
Journal:  Int J Behav Nutr Phys Act       Date:  2015-02-15       Impact factor: 6.457

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  6 in total

1.  Active-to-Sedentary Behavior Transitions, Fatigability, and Physical Functioning in Older Adults.

Authors:  Jennifer A Schrack; Pei-Lun Kuo; Amal A Wanigatunga; Junrui Di; Eleanor M Simonsick; Adam P Spira; Luigi Ferrucci; Vadim Zipunnikov
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-03-14       Impact factor: 6.053

Review 2.  Accelerating Accelerometer Research in Aging.

Authors:  Eric J Shiroma; Jennifer A Schrack; Tamara B Harris
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

3.  A comparison of accelerometry analysis methods for physical activity in older adult women and associations with health outcomes over time.

Authors:  Katie J Thralls; Suneeta Godbole; Todd M Manini; Eileen Johnson; Loki Natarajan; Jacqueline Kerr
Journal:  J Sports Sci       Date:  2019-06-14       Impact factor: 3.337

4.  Intervening on exercise and daylong movement for weight loss maintenance in older adults: A randomized, clinical trial.

Authors:  Jason Fanning; W Jack Rejeski; Iris Leng; Cheyenne Barnett; James F Lovato; Mary F Lyles; Barbara J Nicklas
Journal:  Obesity (Silver Spring)       Date:  2022-01       Impact factor: 5.002

5.  Assessing physical performance and physical activity in large population-based aging studies: home-based assessments or visits to the research center?

Authors:  Erja Portegijs; Laura Karavirta; Milla Saajanaho; Timo Rantalainen; Taina Rantanen
Journal:  BMC Public Health       Date:  2019-11-27       Impact factor: 3.295

6.  Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study.

Authors:  Ahmed Elhakeem; Kimberly Hannam; Kevin C Deere; April Hartley; Emma M Clark; Charlotte Moss; Mark H Edwards; Elaine Dennison; Tim Gaysin; Diana Kuh; Andrew Wong; Cyrus Cooper; Rachel Cooper; Jon H Tobias
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

  6 in total

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