Literature DB >> 23913932

Normative steps/day values for older adults: NHANES 2005-2006.

Catrine Tudor-Locke1, John M Schuna, Tiago V Barreira, Emily F Mire, Stephanie T Broyles, Peter T Katzmarzyk, William D Johnson.   

Abstract

BACKGROUND: Pedometers are more likely than accelerometers to be used in walking interventions and other applications, including wide spread adoption by lay people. The purpose of this article is to provide older adults' sex-and-age-specific normative values for accelerometer-determined steps/day, adjusted to a pedometer-based scale.
METHODS: The data source was accelerometer data collected over multiple valid days (defined as ≥ 10 h/day; mean 5.8 ± SE 0.1 valid days) from 1,196 60+ year olds participating in the 2005-2006 National Health and Nutrition Examination Survey. Accelerometer data were adjusted to a pedometer scale using an established process of censoring steps counted during those minutes where activity counts totaled <500. Quintile-defined categories of adjusted steps/day (lowest, below average, average, above average, and highest) for six age groups (60-64, 65-69, 70-74, 75-79, 80-84, and 85+ years) were computed for the entire sample and separately for each sex. LMSChartmakerPro was used to create smoothed percentile curves corresponding to the 5th, 25th, 50th, 75th, and 95th percentiles.
RESULTS: Men aged 65-69 years defined the highest single category (>9,126 steps/day) and women aged 85+ years of age defined the lowest single category (<276 steps/day). In general, steps/day tended to decrease within each quintile-defined category as age increased. Similar patterns were apparent in the more detailed LMSChartmakerPro percentiles.
CONCLUSIONS: These data represent the first presentation of a detailed population distribution of normative accelerometer-determined steps/day adjusted to pedometer scaling, an instrument more likely to be used in clinical and public health applications.

Entities:  

Keywords:  Exercise; Physical activity; Public health.

Mesh:

Year:  2013        PMID: 23913932     DOI: 10.1093/gerona/glt116

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


  37 in total

1.  Factors Associated With Ambulatory Activity in De Novo Parkinson Disease.

Authors:  Cory Christiansen; Charity Moore; Margaret Schenkman; Benzi Kluger; Wendy Kohrt; Anthony Delitto; Brian Berman; Deborah Hall; Deborah Josbeno; Cynthia Poon; Julie Robichaud; Toby Wellington; Samay Jain; Cynthia Comella; Daniel Corcos; Ed Melanson
Journal:  J Neurol Phys Ther       Date:  2017-04       Impact factor: 3.649

2.  Accelerometer Assessment of Physical Activity and Its Association with Physical Function in Older Adults Residing at Assisted Care Facilities.

Authors:  M P Corcoran; K K H Chui; D K White; K F Reid; D Kirn; M E Nelson; J M Sacheck; S C Folta; R A Fielding
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

3.  Validation of Consumer-Based Hip and Wrist Activity Monitors in Older Adults With Varied Ambulatory Abilities.

Authors:  Theresa A Floegel; Alberto Florez-Pregonero; Eric B Hekler; Matthew P Buman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-06-02       Impact factor: 6.053

4.  Impact of chemotherapy on medium-term physical function and activity of older breast cancer survivors, and associated biomarkers.

Authors:  Martine Extermann; Christiaan Leeuwenburgh; Laila Samiian; Marina Sehovic; Jinze Xu; Christopher Cubitt; Paul B Jacobsen; Marco Pahor; Stephen R Grobmyer; Todd M Manini
Journal:  J Geriatr Oncol       Date:  2016-10-13       Impact factor: 3.599

Review 5.  Physical activity after total knee arthroplasty: A critical review.

Authors:  Roger J Paxton; Edward L Melanson; Jennifer E Stevens-Lapsley; Cory L Christiansen
Journal:  World J Orthop       Date:  2015-09-18

6.  Does physical activity change after progressive resistance exercise in functionally limited older adults?

Authors:  Jonathan C Laussen; Angela Chalé; Cynthia Hau; Roger A Fielding; Daniel K White
Journal:  J Am Geriatr Soc       Date:  2015-02       Impact factor: 5.562

7.  Self-Selected Walking Speed is Predictive of Daily Ambulatory Activity in Older Adults.

Authors:  Addie Middleton; George D Fulk; Michael W Beets; Troy M Herter; Stacy L Fritz
Journal:  J Aging Phys Act       Date:  2015-09-15       Impact factor: 1.961

8.  Light intensity physical activity increases and sedentary behavior decreases following total knee arthroplasty in patients with osteoarthritis.

Authors:  Emmanuel Frimpong; Joanne A McVeigh; Dick van der Jagt; Lipalo Mokete; Yusuf S Kaoje; Mohammed Tikly; Rebecca M Meiring
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2018-05-21       Impact factor: 4.342

9.  Sleep and executive function in older women: the moderating effect of physical activity.

Authors:  Maya J Lambiase; Kelley P Gabriel; Lewis H Kuller; Karen A Matthews
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-04-17       Impact factor: 6.053

10.  Tri-Axial Accelerometer-Determined Daily Physical Activity and Sedentary Behavior of Suburban Community-Dwelling Older Japanese Adults.

Authors:  Tao Chen; Kenji Narazaki; Takanori Honda; Sanmei Chen; Yuki Haeuchi; Yu Y Nofuji; Eri Matsuo; Shuzo Kumagai
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

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