Estimating Energy Expenditure from Heart Rate in Older Adults: A Case for Calibration
Publication Date
April 30, 2014
Journal
PLOS ONE
Authors
Jennifer A. Schrack, Vadim Zipunnikov, Jeff Goldsmith, Karen Bandeen Roche, et al
Volume
9
Issue
4
Pages
e93520
DOI
https://dx.plos.org/10.1371/journal.pone.0093520
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0093520
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24787146
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005766
Europe PMC
http://europepmc.org/abstract/MED/24787146
Web of Science
000338917300004
Scopus
84899722170
Mendeley
http://www.mendeley.com/research/estimating-energy-expenditure-heart-rate-older-adults-case-calibration-1
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Mendeley | Further Information

{"title"=>"Estimating energy expenditure from heart rate in older adults: A case for calibration", "type"=>"journal", "authors"=>[{"first_name"=>"Jennifer A.", "last_name"=>"Schrack", "scopus_author_id"=>"35749105400"}, {"first_name"=>"Vadim", "last_name"=>"Zipunnikov", "scopus_author_id"=>"35232005200"}, {"first_name"=>"Jeff", "last_name"=>"Goldsmith", "scopus_author_id"=>"56203281700"}, {"first_name"=>"Karen", "last_name"=>"Bandeen-Roche", "scopus_author_id"=>"7003801317"}, {"first_name"=>"Ciprian M.", "last_name"=>"Crainiceanu", "scopus_author_id"=>"6603085071"}, {"first_name"=>"Luigi", "last_name"=>"Ferrucci", "scopus_author_id"=>"55239601400"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"373008283", "sgr"=>"84899722170", "issn"=>"19326203", "pmid"=>"24787146", "scopus"=>"2-s2.0-84899722170", "doi"=>"10.1371/journal.pone.0093520"}, "id"=>"3b9bc8c2-6b75-38c3-9cda-83dd9b6e9c00", "abstract"=>"BACKGROUND: Accurate measurement of free-living energy expenditure is vital to understanding changes in energy metabolism with aging. The efficacy of heart rate as a surrogate for energy expenditure is rooted in the assumption of a linear function between heart rate and energy expenditure, but its validity and reliability in older adults remains unclear.\\n\\nOBJECTIVE: To assess the validity and reliability of the linear function between heart rate and energy expenditure in older adults using different levels of calibration.\\n\\nDESIGN: Heart rate and energy expenditure were assessed across five levels of exertion in 290 adults participating in the Baltimore Longitudinal Study of Aging. Correlation and random effects regression analyses assessed the linearity of the relationship between heart rate and energy expenditure and cross-validation models assessed predictive performance.\\n\\nRESULTS: Heart rate and energy expenditure were highly correlated (r=0.98) and linear regardless of age or sex. Intra-person variability was low but inter-person variability was high, with substantial heterogeneity of the random intercept (s.d. =0.372) despite similar slopes. Cross-validation models indicated individual calibration data substantially improves accuracy predictions of energy expenditure from heart rate, reducing the potential for considerable measurement bias. Although using five calibration measures provided the greatest reduction in the standard deviation of prediction errors (1.08 kcals/min), substantial improvement was also noted with two (0.75 kcals/min).\\n\\nCONCLUSION: These findings indicate standard regression equations may be used to make population-level inferences when estimating energy expenditure from heart rate in older adults but caution should be exercised when making inferences at the individual level without proper calibration.", "link"=>"http://www.mendeley.com/research/estimating-energy-expenditure-heart-rate-older-adults-case-calibration-1", "reader_count"=>46, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Other"=>4, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Other"=>4, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>8, "Computer Science"=>1, "Engineering"=>6, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>3, "Mathematics"=>1, "Medicine and Dentistry"=>14, "Neuroscience"=>1, "Sports and Recreations"=>4, "Physics and Astronomy"=>1, "Psychology"=>1, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>4}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}}, "reader_count_by_country"=>{"Finland"=>1, "United Kingdom"=>1, "Australia"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

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  • {"files"=>["http://files.figshare.com/1477534/Figure_2.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "users"=>["Vadim Zipunnikov", "Jennifer A. Schrack", "Ciprian M. Crainiceanu", "Karen Bandeen-Roche", "Luigi Ferrucci", "Jeff Goldsmith"], "links"=>[], "tags"=>["Epidemiology of aging", "errors", "Cardiovascular anatomy", "estimates", "calibration", "cardiology", "metabolism", "Organism development", "nutrition", "geriatrics", "aging", "resting", "epidemiology", "developmental biology", "scenarios", "Biochemistry", "Geriatric cardiology", "Public and occupational health", "shows", "Sports and exercise medicine", "Statistics (mathematics)", "mathematics", "anatomy", "kernel", "rates", "Energy metabolism", "Physiological processes", "physiology", "Population biology"], "title"=>"<p>Figure 2 shows Kernel density estimates for the distribution of prediction errors for the four calibration data scenarios considered: (1) no calibration data, (2) resting heart rate and energy expenditure, (3) resting and peak heart rates and energy expenditures, and (4) all five levels of heart rate and energy expenditure.</p>", "figshare_url"=>"http://figshare.com/articles/_Figure_2_shows_Kernel_density_estimates_for_the_distribution_of_prediction_errors_for_the_four_calibration_data_scenarios_considered_1_no_calibration_data_2_resting_heart_rate_and_energy_expenditure_3_resting_and_peak_heart_rates_and_energy_expenditures_/1009829", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0093520.g002"], "published_date"=>"2014-04-30 02:47:10", "article_id"=>1009829, "categories"=>["Biological Sciences"], "description"=>"<p >The left panel shows prediction errors computed under model (1), which uses four age/gender categories to predict energy expenditure, and the right panel prediction errors computed under model (2), which uses gender and age as continuous variables, and their interaction to predict energy expenditure.</p>"}
  • {"files"=>["http://files.figshare.com/1477536/Figure_3.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "users"=>["Vadim Zipunnikov", "Jennifer A. Schrack", "Ciprian M. Crainiceanu", "Karen Bandeen-Roche", "Luigi Ferrucci", "Jeff Goldsmith"], "links"=>[], "tags"=>["Epidemiology of aging", "individual-level", "Cardiovascular anatomy", "population-level", "cardiology", "metabolism", "Organism development", "nutrition", "geriatrics", "aging", "epidemiology", "relationships", "developmental biology", "Biochemistry", "Geriatric cardiology", "Public and occupational health", "shows", "Sports and exercise medicine", "Statistics (mathematics)", "mathematics", "anatomy", "Physiological processes", "Energy metabolism", "physiology", "Population biology"], "title"=>"<p>Figure 3 shows an Illustration of the difference between population-level and individual-level relationships between heart rate and energy expenditure.</p>", "figshare_url"=>"http://figshare.com/articles/_Figure_3_shows_an_Illustration_of_the_difference_between_population_level_and_individual_level_relationships_between_heart_rate_and_energy_expenditure_/1009831", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0093520.g003"], "published_date"=>"2014-04-30 02:47:10", "article_id"=>1009831, "categories"=>["Biological Sciences"], "description"=>"<p >The solid black is the population equation, estimated from the subject's age and sex, omitting subject-specific random effects; the solid red line is the subject equation including the subject-level random-effects; and the vertical dashed red line shows the difference between the population-level and subject-level equations at the slow walking heart rate.</p>"}
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