Activity Profile and Energy Expenditure Among Active Older Adults, British Columbia, 2011–2012
Activity Profile and Energy Expenditure Among Active Older Adults, British Columbia, 2011–2012
ORIGINAL RESEARCH — Volume 12 — July 16, 2015
Kenneth M. Madden, MD, MSc; Maureen C. Ashe, PhD; Jocelyn M. Chase, MD
Suggested citation for this article: Madden KM, Ashe MC, Chase JM. Activity Profile and Energy Expenditure Among Active Older Adults, British Columbia, 2011–2012. Prev Chronic Dis 2015;12:150100. DOI:http://dx.doi.org/10.5888/pcd12.150100.
PEER REVIEWED
Abstract
Introduction
Time spent by young adults in moderate to vigorous activity predicts daily caloric expenditure. In contrast, caloric expenditure among older adults is best predicted by time spent in light activity. We examined highly active older adults to examine the biggest contributors to energy expenditure in this population.
Methods
Fifty-four community-dwelling men and women aged 65 years or older (mean, 71.4 y) were enrolled in this cross-sectional observational study. All were members of the Whistler Senior Ski Team, and all met current American guidelines for physical activity. Activity levels (sedentary, light, and moderate to vigorous) were recorded by accelerometers worn continuously for 7 days. Caloric expenditure was measured using accelerometry, galvanic skin response, skin temperature, and heat flux. Significant variables were entered into a stepwise multivariate linear model consisting of activity level, age, and sex.
Results
The average (standard deviation [SD]) daily nonlying sedentary time was 564 (92) minutes (9.4 [1.5] h) per day. The main predictors of higher caloric expenditure were time spent in moderate to vigorous activity (standardized β = 0.42 [SE, 0.08]; P < .001) and male sex (standardized β = 1.34 [SE, 0.16]; P < .001). A model consisting of only moderate to vigorous physical activity and sex explained 68% of the variation in caloric expenditure. An increase in moderate to vigorous physical activity by 1 minute per day was associated with an additional 16 kcal expended in physical activity.
Conclusion
The relationship between activity intensity and caloric expenditure in athletic seniors is similar to that observed in young adults. Active older adults still spend a substantial proportion of the day engaged in sedentary behaviors.
Acknowledgments
This work was supported by a grant from the Canadian Institutes of Health Research (20R43383) and the Canadian Diabetes Association (OG-3-13-4157).
Author Information
Corresponding Author: Kenneth M. Madden, MD, MSc, University of British Columbia, Gordon and Leslie Diamond Health Care Centre, Room 7185, 2775 Laurel St, Vancouver, BC, Canada, V5Z 1M9. Telephone: 604-875-4931. Email: Kenneth.Madden@ubc.ca.
Author Affiliations: Maureen C. Ashe, Jocelyn M. Chase, University of British Columbia, Vancouver, British Columbia, Canada.
References
- Jefferis BJ, Sartini C, Ash S, Lennon LT, Wannamethee SG, Lee IM, et al. Trajectories of objectively measured physical activity in free-living older men. Med Sci Sports Exerc 2015;47(2):343–9.CrossRef PubMed
- Davis MG, Fox KR, Hillsdon M, Coulson JC, Sharp DJ, Stathi A, et al. Getting out and about in older adults: the nature of daily trips and their association with objectively assessed physical activity. Int J Behav Nutr Phys Act 2011;8(1):116. CrossRef PubMed
- Dwyer-Lindgren L, Freedman G, Engell RE, Fleming TD, Lim SS, Murray CJ, et al. Prevalence of physical activity and obesity in US counties, 2001–2011: a road map for action. Popul Health Metr 2013;11(1):7. CrossRef PubMed
- Westerterp KR. Pattern and intensity of physical activity. Nature 2001;410(6828):539. CrossRef PubMed
- Choquette S, Chuin A, Lalancette DA, Brochu M, Dionne IJ. Predicting energy expenditure in elders with the metabolic cost of activities. Med Sci Sports Exerc 2009;41(10):1915–20.CrossRef PubMed
- Colbert LH, Matthews CE, Schoeller DA, Havighurst TC, Kim K. Intensity of physical activity in the energy expenditure of older adults. J Aging Phys Act 2014;22(4):571–7. CrossRefPubMed
- Hawkins MS, Storti KL, Richardson CR, King WC, Strath SJ, Holleman RG, et al. Objectively measured physical activity of USA adults by sex, age, and racial/ethnic groups: a cross-sectional study. Int J Behav Nutr Phys Act 2009;6(1):31. CrossRef PubMed
- Evenson KR, Buchner DM, Morland KB. Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis 2012;9:E26. PubMed
- Eckel RH, Jakicic JM, Ard JD, de Jesus JM, Houston Miller N, Hubbard VS, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2014;63(25 Pt B):2960–84. CrossRef PubMed
- Gorman E, Hanson HM, Yang PH, Khan KM, Liu-Ambrose T, Ashe MC. Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act 2014;11(1):35–49. CrossRef PubMed
- Hamer M, Kivimaki M, Steptoe A. Longitudinal patterns in physical activity and sedentary behaviour from mid-life to early old age: a substudy of the Whitehall II cohort. J Epidemiol Community Health 2012;66(12):1110–5. CrossRef PubMed
- Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol 2008;167(7):875–81. CrossRef PubMed
- Mackey DC, Manini TM, Schoeller DA, Koster A, Glynn NW, Goodpaster BH, et al. Validation of an armband to measure daily energy expenditure in older adults. J Gerontol A Biol Sci Med Sci 2011;66(10):1108–13. CrossRef PubMed
- St-Onge M, Mignault D, Allison DB, Rabasa-Lhoret R. Evaluation of a portable device to measure daily energy expenditure in free-living adults. Am J Clin Nutr 2007;85(3):742–9. PubMed
- Yasunaga A, Togo F, Watanabe E, Park H, Park S, Shephard RJ, et al. Sex, age, season, and habitual physical activity of older Japanese: the Nakanojo study. J Aging Phys Act 2008;16(1):3–13.PubMed
- Chatterjee S, Hadi AS. Regression analysis by example. 4th edition. Hoboken (NJ): Wiley-Interscience; 2006.
- Crawley MJ. Statistics: an introduction using R. London (GB): John Wiley and Sons; 2005.
- R Core Team. R: a language and environment for statistical computing. Vienna (AT): R Foundation for Statistical Computing; 2013. http://www.R-project.org.
- Evenson KR, Morland KB, Wen F, Scanlin K. Physical activity and sedentary behavior among adults 60 years and older: New York City residents compared to a national sample. J Aging Phys Act 2014;22(4):499–507. CrossRef PubMed
- Jefferis BJ, Sartini C, Shiroma E, Whincup PH, Wannamethee SG, Lee IM. Duration and breaks in sedentary behaviour: accelerometer data from 1566 community-dwelling older men (British Regional Heart Study). Br J Sports Med 2014. CrossRef PubMed
- Hansen BH, Kolle E, Dyrstad SM, Holme I, Anderssen SA. Accelerometer-determined physical activity in adults and older people. Med Sci Sports Exerc 2012;44(2):266–72. CrossRefPubMed
- Hooker SP, Seavey W, Weidmer CE, Harvey DJ, Stewart AL, Gillis DE, et al. The California active aging community grant program: translating science into practice to promote physical activity in older adults. Ann Behav Med 2005;29(3):155–65. CrossRef PubMed
- Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care 2008;31(2):369–71. CrossRef PubMed
- Long G, Watkinson C, Brage S, Morris J, Tuxworth B, Fentem P, et al. Mortality benefits of population-wide adherence to national physical activity guidelines: a prospective cohort study. Eur J Epidemiol 2015;30(1):71–9. CrossRef PubMed
- Dunstan DW, Salmon J, Healy GN, Shaw JE, Jolley D, Zimmet PZ, et al. Association of television viewing with fasting and 2-h postchallenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 2007;30(3):516–22. CrossRef PubMed
- Healy GN, Dunstan DW, Salmon J, Shaw JE, Zimmet PZ, Owen N. Television time and continuous metabolic risk in physically active adults. Med Sci Sports Exerc 2008;40(4):639–45.CrossRef PubMed
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