» Articles » PMID: 17063361

Physical Activity Patterns Assessed by Accelerometry in Older People

Overview
Specialty Physiology
Date 2006 Oct 26
PMID 17063361
Citations 92
Authors
Affiliations
Soon will be listed here.
Abstract

Research into daily physical activity (PA) patterns of older adults (>or=70 years) has primarily relied on self-report. This study used accelerometry, an objective measure of minute-by-minute movement, to assess PA volume and intensity performed by older adults recruited to the Better Ageing project. Results were used to estimate the degree to which current health recommendations for PA were met. Participants [91 older females (OF) aged 76.0 +/- 4.0 years (mean +/- SD), 70 older males (OM) 76.3 +/- 3.9 years, 23 young females (YF) 26.8 +/- 4.1 years and 22 young males (YM) 27.0 +/- 4.2 years] wore an MTI actigraph model 7164 recording activity in 1-min epochs for 7 days. Only those with at least 5 days, and 10 h of actigraph data per day, were included in the analysis, using Caloric.Bas (CSA Inc. 1999) software and a tailored Microsoft Access 2000 macro. Mean counts min(-1) day(-1) were 37% lower for older adults than for young adults [OF 236.1 +/- 84.4 vs. YF 370.0 +/- 81.1 counts min(-1) day(-1) t(114) = -6.86, P < 0.001; OM 255.1 +/- 103.0 vs. YM 404.3 +/- 134.0 ct min(-1) day(-1), t(91) = -5.55, P < 0.001]. Older adults were more restricted in activity intensity range performing significantly fewer minutes of moderate to vigorous (MV) PA day(-1) than young adults [OF 16.7 +/- 12.2 vs. YF 38.4 +/- 18.4 MVPA min day(-1), t(114) = -6.90, P < 0.001; OM 23.8 +/- 20.0 vs. YM 40.4 +/- 19.2 MVPA min day(-1), t(91) = -3.47, P = 0.001]. Nearly half of older adults did not perform any sustained 10-min MVPA bouts (OF 48.4% vs. YF 13.0%, chi2 = 8.10, P = 0.004; OM 44.3% vs. YM 4.5%, chi2 = 9.97, P = 0.002), and none met current PA recommendations for health. This study is the first to provide objective data on a large sample of adults aged 70 years and over and indicates low levels of daily movement that are likely to be inadequate for optimal health benefit.

Citing Articles

Modeling approaches for assessing device-based measures of energy expenditure in school-based studies of body weight status.

Honvoh G, Zoh R, Gupta A, Benden M, Tekwe C Front Appl Math Stat. 2025; 10.

PMID: 40034238 PMC: 11874168. DOI: 10.3389/fams.2024.1399426.


Mediating Factors Associated With Physical Activity in Older Adults at Increased Dementia Risk.

Cardona M, Luppa M, Zulke A, Kroeber E, Bauer A, Dohring J Am J Alzheimers Dis Other Demen. 2024; 39:15333175241257849.

PMID: 38828622 PMC: 11149443. DOI: 10.1177/15333175241257849.


Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent class analysis among postmenopausal women.

Evenson K, Wen F, Di C, Kebede M, LaMonte M, Lee I Womens Health (Lond). 2024; 20:17455057241257361.

PMID: 38805324 PMC: 11135103. DOI: 10.1177/17455057241257361.


Age and Sex Differences in Physical Activity of Portuguese Adults and Older Adults.

Bento T, Mota M, Vitorino A, Monteiro D, Cid L, Couto N Healthcare (Basel). 2023; 11(23).

PMID: 38063587 PMC: 10706265. DOI: 10.3390/healthcare11233019.


Association of psychosocial factors with physical activity among Japanese adults aged 65 and older: a 6-year repeated cross-sectional study from the Nakanojo Study.

Dhakal A, Kurisu K, Park S, Yoshiuchi K, Aoyagi Y Biopsychosoc Med. 2023; 17(1):32.

PMID: 37700326 PMC: 10496324. DOI: 10.1186/s13030-023-00289-y.


References
1.
Bonnefoy M, Normand S, Pachiaudi C, Lacour J, Laville M, Kostka T . Simultaneous validation of ten physical activity questionnaires in older men: a doubly labeled water study. J Am Geriatr Soc. 2001; 49(1):28-35. DOI: 10.1046/j.1532-5415.2001.49006.x. View

2.
Cooper A, Andersen L, Wedderkopp N, Page A, Froberg K . Physical activity levels of children who walk, cycle, or are driven to school. Am J Prev Med. 2005; 29(3):179-84. DOI: 10.1016/j.amepre.2005.05.009. View

3.
Harada N, Chiu V, King A, Stewart A . An evaluation of three self-report physical activity instruments for older adults. Med Sci Sports Exerc. 2001; 33(6):962-70. DOI: 10.1097/00005768-200106000-00016. View

4.
. Diet, nutrition and the prevention of chronic diseases. World Health Organ Tech Rep Ser. 2003; 916:i-viii, 1-149, backcover. View

5.
Meijer E, Goris A, Wouters L, Westerterp K . Physical inactivity as a determinant of the physical activity level in the elderly. Int J Obes Relat Metab Disord. 2001; 25(7):935-9. DOI: 10.1038/sj.ijo.0801644. View