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Cited by 110Physical Activity and HealthBalance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

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Normative Steps/Day Values for Older Adults: NHANES 2005-2006

Tudor-Locke, C., Schuna, J. M., Barreira, T. V., Mire, E. F., Broyles, S. T., Katzmarzyk, P. T., Johnson, W. D.·2013·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
DOI 10.1093/gerona/glt116
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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.

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Research works printed but not linked: 6

  1. Tudor-Locke, 2012, Preventing chronic disease [electronic resource], 9, E113
  2. 2010, 15, 135
  3. 2004, 28, 19
  4. 2003, AM J RECREAT THER, 2, 21
  5. 2011, The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 66, 1226
  6. 2012, RES EXERC EPIDEMIOL, 14, 107

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Metadata

Authors
Tudor-Locke, C., Schuna, J. M., Barreira, T. V., Mire, E. F., Broyles, S. T., Katzmarzyk, P. T., & Johnson, W. D.
Affiliations
Pennington Biomedical Research Center (US)
ORCID
Venue
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Publisher
Oxford University Press (OUP)
Published
2013-08-02
Volume
68
Issue
11
Pages
1426-1432
ISSN
  • 1079-5006 (ISSN-L)
  • 1758-535X
DOI
10.1093/gerona/glt116
OpenAlex
W2129712642
Cited by
110
References
40
Citations by year
2026: 10 · 2025: 6 · 2024: 9 · 2023: 7 · 2022: 6 · 2021: 6 · 2020: 7 · 2019: 14 · 2018: 7 · 2017: 11 · 2016: 8 · 2015: 13 · 2014: 6
FWCI
6.25
Type
journal article
Language
en
Open access
closed
Locations
  • The Journals of Gerontology Series A (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
daily step count, older adults, pedometers, accelerometer, reference values, sex differences, age differences, physical activity, percentile curves, NHANES
MeSH terms
Aged, Aged, 80 and over, Aging, Female, Humans, Male, Middle Aged, Nutrition Surveys, Reference Values, Time Factors, Exercise, Walking

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