Americans spend over 90% of their activity related energy expenditure performing common daily activities. Health care professionals use normative data as a guide to prescribe appropriate activities for patients and clients. Additionally, scientists use this resource to plan physical activity or nutritional interventions ad apply these estimates to epidemiological research. However, while normative data have existed for over 20 years and are seemingly accurate in young adults, they can lead to misguided estimates of the metabolic cost of daily activities in older adults. This is not a trivial issue sice physical activity is one of the only known modalities to improve physical function in older adults and plays a critical role in regulating body weight. However, there is a serious lack of information pertaining to potential age-related differences in the metabolic cost of daily activitis. This leaves a major gap in knowledge for properly prescribing physical activity for a population that has elevated risk cardiopulmonary and orthopedic impairments. The primary goal of this project is to test the hypothesis that aging is associated with a difference in the metabolic cost f doing exercise and lifestyle activities. We will assess pulmonary gas exchange in 210 adults aged 20 to 80+ years with a portable indirect calorimeter worn while performing 38 daily activities. We will examine the metabolic equivalent (MET as a function of 3.5 milliliter min-1kg-1), metabolic economy (energy expended for a given work rate) and relative metabolic cost (as a function of resting and peak oxygen consumption) for each task as a function of age. Secondly, we will address how metabolic costs of daily activities are affected by having functional impairments by testing an additional 90 older adults (60+ years) with functional impairment. Thirdly, because scientists and public health officials alike rely on perception-based exertion to monitor intensity of physical activity, we will address the question- Is aging associated with inaccuracies for self-gauging perceived exertion? Addressing this question will gain insight into a better delivery system for recommending physical intensity to older adults. Lastly, the design and comprehensive metabolic measurements being proposed will provide an unprecedented opportunity to validate accelerometers for estimating the type and intensity of physical activity. Using new mathematical techniques that apply machine learning approaches (random forests, support vector and multiple kernel learning techniques), we will assess the potential to reduce the error in estimating the type and intensity of physical activity as compared to traditional methods. There are many end products of this research. First, the work will produce the largest dataset of metabolic cost for daily activities in 60+ years old. Second, an age-correction factor for metabolic costs will be created to apply to hundreds of tasks that fall into similar categories as those being evaluated. Finally, the work will refine the tools needed to feasibly assess physical activity in young and old adults. These accomplishments will directly impact the fields of epidemiology, geriatric medicine, rehabilitation, and nutritional sciences.

Public Health Relevance

The proposed research is relevant to public health because it will advance the understanding the differences in the metabolic costs of daily activities due to old age and functional impairment. This is highly relevant to NIH's mission of promoting health by reducing the burdens of physical disability in old age.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
4R01AG042525-04
Application #
9084415
Study Section
Kidney, Nutrition, Obesity and Diabetes (KNOD)
Program Officer
Joseph, Lyndon
Project Start
2013-07-15
Project End
2018-03-31
Budget Start
2016-07-01
Budget End
2017-03-31
Support Year
4
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Florida
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
969663814
City
Gainesville
State
FL
Country
United States
Zip Code
32611
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Kheirkhahan, Matin; Chakraborty, Avirup; Wanigatunga, Amal A et al. (2018) Wrist accelerometer shape feature derivation methods for assessing activities of daily living. BMC Med Inform Decis Mak 18:124
Corbett, Duane B; Simon, Corey B; Manini, Todd M et al. (2018) Movement-evoked pain: transforming the way we understand and measure pain. Pain :
Nickerson, Paul V; Baharloo, Raheleh; Wanigatunga, Amal A et al. (2018) Transition Icons for Time-Series Visualization and Exploratory Analysis. IEEE J Biomed Health Inform 22:623-630
Manini, Todd M; Anton, Stephen D; Beavers, Daniel P et al. (2017) ENabling Reduction of Low-grade Inflammation in SEniors Pilot Study: Concept, Rationale, and Design. J Am Geriatr Soc 65:1961-1968
Wanigatunga, Amal A; Tudor-Locke, Catrine; Axtell, Robert S et al. (2017) Effects of a Long-Term Physical Activity Program on Activity Patterns in Older Adults. Med Sci Sports Exerc 49:2167-2175
Valiani, Vincenzo; Sourdet, Sandrine; Schoeller, Dale A et al. (2017) Surveying predictors of late-life longitudinal change in daily activity energy expenditure. PLoS One 12:e0186289
Corbett, Duane B; Wanigatunga, Amal A; Valiani, Vincenzo et al. (2017) Metabolic costs of daily activity in older adults (Chores XL) study: design and methods. Contemp Clin Trials Commun 6:1-8
Manini, Todd M; Beavers, Daniel P; Pahor, Marco et al. (2017) Effect of Physical Activity on Self-Reported Disability in Older Adults: Results from the LIFE Study. J Am Geriatr Soc 65:980-988
Valiani, Vincenzo; Corbett, Duane B; Knaggs, Jeffrey D et al. (2016) Metabolic Rate and Perceived Exertion of Walking in Older Adults With Idiopathic Chronic Fatigue. J Gerontol A Biol Sci Med Sci 71:1444-1450

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