Literature DB >> 17063361

Physical activity patterns assessed by accelerometry in older people.

Mark G Davis1, Kenneth R Fox.   

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.

Entities:  

Mesh:

Year:  2006        PMID: 17063361     DOI: 10.1007/s00421-006-0320-8

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.346


  23 in total

1.  An evaluation of three self-report physical activity instruments for older adults.

Authors:  N D Harada; V Chiu; A C King; A L Stewart
Journal:  Med Sci Sports Exerc       Date:  2001-06       Impact factor: 5.411

2.  Age-related changes in lower trunk coordination and energy transfer during gait.

Authors:  C A McGibbon; D E Krebs
Journal:  J Neurophysiol       Date:  2001-05       Impact factor: 2.714

3.  Diet, nutrition and the prevention of chronic diseases.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

4.  International physical activity questionnaire: 12-country reliability and validity.

Authors:  Cora L Craig; Alison L Marshall; Michael Sjöström; Adrian E Bauman; Michael L Booth; Barbara E Ainsworth; Michael Pratt; Ulf Ekelund; Agneta Yngve; James F Sallis; Pekka Oja
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

5.  Physical inactivity as a determinant of the physical activity level in the elderly.

Authors:  E P Meijer; A H Goris; L Wouters; K R Westerterp
Journal:  Int J Obes Relat Metab Disord       Date:  2001-07

6.  Simultaneous validation of ten physical activity questionnaires in older men: a doubly labeled water study.

Authors:  M Bonnefoy; S Normand; C Pachiaudi; J R Lacour; M Laville; T Kostka
Journal:  J Am Geriatr Soc       Date:  2001-01       Impact factor: 5.562

7.  Physical activity levels of children who walk, cycle, or are driven to school.

Authors:  Ashley R Cooper; Lars Bo Andersen; Niels Wedderkopp; Angie S Page; Karsten Froberg
Journal:  Am J Prev Med       Date:  2005-10       Impact factor: 5.043

8.  Physical activity patterns in normal, overweight and obese individuals using minute-by-minute accelerometry.

Authors:  A R Cooper; A Page; K R Fox; J Misson
Journal:  Eur J Clin Nutr       Date:  2000-12       Impact factor: 4.016

9.  Economy of mobility in older adults.

Authors:  M J Davies; G P Dalsky
Journal:  J Orthop Sports Phys Ther       Date:  1997-08       Impact factor: 4.751

10.  Physical activity among children attending preschools.

Authors:  Russell R Pate; Karin A Pfeiffer; Stewart G Trost; Paula Ziegler; Marsha Dowda
Journal:  Pediatrics       Date:  2004-11       Impact factor: 7.124

View more
  84 in total

1.  Fatigability in osteoarthritis: effects of an activity bout on subsequent symptoms and activity.

Authors:  Stacey L Schepens; Anna L Kratz; Susan L Murphy
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-03-26       Impact factor: 6.053

2.  Total daily activity measured with actigraphy and motor function in community-dwelling older persons with and without dementia.

Authors:  Bryan D James; Patricia A Boyle; David A Bennett; Aron S Buchman
Journal:  Alzheimer Dis Assoc Disord       Date:  2012 Jul-Sep       Impact factor: 2.703

3.  Sleep variability, health-related practices, and inflammatory markers in a community dwelling sample of older adults.

Authors:  Michele L Okun; Charles F Reynolds; Daniel J Buysse; Timothy H Monk; Sati Mazumdar; Amy Begley; Martica Hall
Journal:  Psychosom Med       Date:  2010-11-19       Impact factor: 4.312

4.  Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers.

Authors:  Yosuke Yamada; Keiichi Yokoyama; Risa Noriyasu; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Yoshihiko Naito; Taketoshi Morimoto; Misaka Kimura; Shingo Oda
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

5.  Accelerometer measured sedentary behavior and physical activity in white and black adults: The REGARDS study.

Authors:  Steven P Hooker; Brent Hutto; Wenfei Zhu; Steven N Blair; Natalie Colabianchi; John E Vena; David Rhodes; Virginia J Howard
Journal:  J Sci Med Sport       Date:  2015-04-17       Impact factor: 4.319

6.  Effects of altered muscle temperature on neuromuscular properties in young and older women.

Authors:  Susan Dewhurst; Andrea Macaluso; Leonardo Gizzi; Francesco Felici; Dario Farina; Giuseppe De Vito
Journal:  Eur J Appl Physiol       Date:  2009-10-15       Impact factor: 3.078

7.  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

8.  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

9.  Considerations When Using Predictive Equations to Estimate Energy Needs Among Older, Hospitalized Patients: A Narrative Review.

Authors:  Elizabeth A Parker; Termeh M Feinberg; Stephanie Wappel; Avelino C Verceles
Journal:  Curr Nutr Rep       Date:  2017-04-11

10.  Patterns of physical activity among overweight and obese adults.

Authors:  Deborah Rohm Young; Gerald J Jerome; Chuhe Chen; Daniel Laferriere; William M Vollmer
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.