Adverse Metabolic Response to Regular Exercise: Is It a Rare or Common Occurrence?
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{"title"=>"Adverse metabolic response to regular exercise: Is it a rare or common occurrence?", "type"=>"journal", "authors"=>[{"first_name"=>"Claude", "last_name"=>"Bouchard", "scopus_author_id"=>"7201418586"}, {"first_name"=>"Steven N.", "last_name"=>"Blair", "scopus_author_id"=>"7203060134"}, {"first_name"=>"Timothy S.", "last_name"=>"Church", "scopus_author_id"=>"7102848510"}, {"first_name"=>"Conrad P.", "last_name"=>"Earnest", "scopus_author_id"=>"7003778626"}, {"first_name"=>"James M.", "last_name"=>"Hagberg", "scopus_author_id"=>"7005010766"}, {"first_name"=>"Keijo", "last_name"=>"Häkkinen", "scopus_author_id"=>"7005347877"}, {"first_name"=>"Nathan T.", "last_name"=>"Jenkins", "scopus_author_id"=>"35107387000"}, {"first_name"=>"Laura", "last_name"=>"Karavirta", "scopus_author_id"=>"23111013700"}, {"first_name"=>"William E.", "last_name"=>"Kraus", "scopus_author_id"=>"7103319252"}, {"first_name"=>"Arthur S.", "last_name"=>"Leon", "scopus_author_id"=>"7202686294"}, {"first_name"=>"D. C.", "last_name"=>"Rao", "scopus_author_id"=>"56973209400"}, {"first_name"=>"Mark A.", "last_name"=>"Sarzynski", "scopus_author_id"=>"26424754200"}, {"first_name"=>"James S.", "last_name"=>"Skinner", "scopus_author_id"=>"7401822109"}, {"first_name"=>"Cris A.", "last_name"=>"Slentz", "scopus_author_id"=>"6603079359"}, {"first_name"=>"Tuomo", "last_name"=>"Rankinen", "scopus_author_id"=>"7006729865"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"364913265", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0037887", "scopus"=>"2-s2.0-84861605130", "pmid"=>"22666405", "sgr"=>"84861605130"}, "id"=>"07f51491-3014-3074-9a0d-5084ae0b3f6a", "abstract"=>"BACKGROUND: Individuals differ in the response to regular exercise. Whether there are people who experience adverse changes in cardiovascular and diabetes risk factors has never been addressed.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: An adverse response is defined as an exercise-induced change that worsens a risk factor beyond measurement error and expected day-to-day variation. Sixty subjects were measured three times over a period of three weeks, and variation in resting systolic blood pressure (SBP) and in fasting plasma HDL-cholesterol (HDL-C), triglycerides (TG), and insulin (FI) was quantified. The technical error (TE) defined as the within-subject standard deviation derived from these measurements was computed. An adverse response for a given risk factor was defined as a change that was at least two TEs away from no change but in an adverse direction. Thus an adverse response was recorded if an increase reached 10 mm Hg or more for SBP, 0.42 mmol/L or more for TG, or 24 pmol/L or more for FI or if a decrease reached 0.12 mmol/L or more for HDL-C. Completers from six exercise studies were used in the present analysis: Whites (N = 473) and Blacks (N = 250) from the HERITAGE Family Study; Whites and Blacks from DREW (N = 326), from INFLAME (N = 70), and from STRRIDE (N = 303); and Whites from a University of Maryland cohort (N = 160) and from a University of Jyvaskyla study (N = 105), for a total of 1,687 men and women. Using the above definitions, 126 subjects (8.4%) had an adverse change in FI. Numbers of adverse responders reached 12.2% for SBP, 10.4% for TG, and 13.3% for HDL-C. About 7% of participants experienced adverse responses in two or more risk factors.\\n\\nCONCLUSIONS/SIGNIFICANCE: Adverse responses to regular exercise in cardiovascular and diabetes risk factors occur. Identifying the predictors of such unwarranted responses and how to prevent them will provide the foundation for personalized exercise prescription.", "link"=>"http://www.mendeley.com/research/adverse-metabolic-response-regular-exercise-it-rare-common-occurrence", "reader_count"=>204, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>14, "Librarian"=>1, "Student > Doctoral Student"=>11, "Researcher"=>31, "Student > Ph. D. Student"=>37, "Student > Postgraduate"=>11, "Student > Master"=>32, "Other"=>12, "Student > Bachelor"=>19, "Lecturer"=>5, "Lecturer > Senior Lecturer"=>2, "Professor"=>24}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>14, "Librarian"=>1, "Student > Doctoral Student"=>11, "Researcher"=>31, "Student > Ph. D. Student"=>37, "Student > Postgraduate"=>11, "Student > Master"=>32, "Other"=>12, "Student > Bachelor"=>19, "Lecturer"=>5, "Lecturer > Senior Lecturer"=>2, "Professor"=>24}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Agricultural and Biological Sciences"=>53, "Arts and Humanities"=>2, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Chemistry"=>3, "Engineering"=>4, "Biochemistry, Genetics and Molecular Biology"=>11, "Nursing and Health Professions"=>6, "Mathematics"=>1, "Medicine and Dentistry"=>58, "Sports and Recreations"=>38, "Psychology"=>9, "Social Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>58}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>38}, "Psychology"=>{"Psychology"=>9}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>14}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Engineering"=>{"Engineering"=>4}, "Chemistry"=>{"Chemistry"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>53}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>6}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>11}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Greece"=>1, "United States"=>6, "Norway"=>1, "Brazil"=>3, "United Kingdom"=>7, "South Africa"=>1, "Switzerland"=>2, "Portugal"=>1, "Germany"=>1, "Spain"=>2}, "group_count"=>9}

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  • {"files"=>["https://ndownloader.figshare.com/files/630295"], "description"=>"<p>Percentages of adverse responders for each risk factor trait by study, with number of adverse responder subjects in each bar.</p>", "links"=>[], "tags"=>["adverse", "responders", "responder", "subjects"], "article_id"=>300771, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.g002", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentages_of_adverse_responders_for_each_risk_factor_trait_by_study_with_number_of_adverse_responder_subjects_in_each_bar_/300771", "title"=>"Percentages of adverse responders for each risk factor trait by study, with number of adverse responder subjects in each bar.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 00:12:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/630388"], "description"=>"*<p>A postmenopausal woman who follows the <i>2008 Physical Activity Guidelines for Americans</i> expends about 8 kcal/kg/week in her exercise program. The 4 kcal/kg/week is about 50% the current recommendation whereas the 12 kcal/kg/week is about 50% above the recommended dose.</p>", "links"=>[], "tags"=>["responders"], "article_id"=>300866, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t007", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adverse_and_Excellent_Responders_to_Regular_Exercise_in_DREW_/300866", "title"=>"Adverse and Excellent Responders to Regular Exercise in DREW<sup>*</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:14:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/630123"], "description"=>"<p>To convert pmol/L of insulin to mU/L, divide by 6.945. To convert mmol/L of HDL-C to mg/dL, divide by 0.02586. To convert mmol/L of triglycerides to mg/dl, divide by 0.01129.</p>", "links"=>[], "tags"=>["adverse", "responders", "highlighted"], "article_id"=>300596, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.g001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_the_response_to_the_HERITAGE_exercise_program_with_adverse_responders_highlighted_in_red_/300596", "title"=>"Distribution of the response to the HERITAGE exercise program with adverse responders highlighted in red.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 00:09:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/630545"], "description"=>"<p>To convert pmol/L of insulin to mU/L, divide by 6.945. To convert mmol/L of HDL-C to mg/dL, divide by 0.02586. To convert mmol/L of triglycerides to mg/dl, divide by 0.01129.</p>", "links"=>[], "tags"=>["adverse", "responders"], "article_id"=>301027, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t004", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_Adverse_Responders_in_HERITAGE_/301027", "title"=>"Prevalence of Adverse Responders in HERITAGE.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:17:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/630502"], "description"=>"*<p>% represents the proportion of adverse responders in relation to the total number of subjects exercise trained for each of the four traits.</p>", "links"=>[], "tags"=>["adverse", "responders"], "article_id"=>300980, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t005", "stats"=>{"downloads"=>1, "page_views"=>34, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_Adverse_Responders_to_Regular_Exercise_in_Six_Studies_/300980", "title"=>"Prevalence of Adverse Responders to Regular Exercise in Six Studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:16:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/328521"], "description"=>"<div><h3>Background</h3><p>Individuals differ in the response to regular exercise. Whether there are people who experience adverse changes in cardiovascular and diabetes risk factors has never been addressed.</p> <h3>Methodology/Principal Findings</h3><p>An adverse response is defined as an exercise-induced change that worsens a risk factor beyond measurement error and expected day-to-day variation. Sixty subjects were measured three times over a period of three weeks, and variation in resting systolic blood pressure (SBP) and in fasting plasma HDL-cholesterol (HDL-C), triglycerides (TG), and insulin (FI) was quantified. The technical error (TE) defined as the within-subject standard deviation derived from these measurements was computed. An adverse response for a given risk factor was defined as a change that was at least two TEs away from no change but in an adverse direction. Thus an adverse response was recorded if an increase reached 10 mm Hg or more for SBP, 0.42 mmol/L or more for TG, or 24 pmol/L or more for FI or if a decrease reached 0.12 mmol/L or more for HDL-C. Completers from six exercise studies were used in the present analysis: Whites (N = 473) and Blacks (N = 250) from the HERITAGE Family Study; Whites and Blacks from DREW (N = 326), from INFLAME (N = 70), and from STRRIDE (N = 303); and Whites from a University of Maryland cohort (N = 160) and from a University of Jyvaskyla study (N = 105), for a total of 1,687 men and women. Using the above definitions, 126 subjects (8.4%) had an adverse change in FI. Numbers of adverse responders reached 12.2% for SBP, 10.4% for TG, and 13.3% for HDL-C. About 7% of participants experienced adverse responses in two or more risk factors.</p> <h3>Conclusions/Significance</h3><p>Adverse responses to regular exercise in cardiovascular and diabetes risk factors occur. Identifying the predictors of such unwarranted responses and how to prevent them will provide the foundation for personalized exercise prescription.</p> </div>", "links"=>[], "tags"=>["adverse", "metabolic"], "article_id"=>124849, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887", "stats"=>{"downloads"=>7, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Adverse_Metabolic_Response_to_Regular_Exercise_Is_It_a_Rare_or_Common_Occurrence_/124849", "title"=>"Adverse Metabolic Response to Regular Exercise: Is It a Rare or Common Occurrence?", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 01:20:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/630681"], "description"=>"<p>ICC = intraclass correlation computed from the within-subject variance compared to the overall measurement variance.</p><p>TE = technical error defined by the within-subject standard deviation calculated from repeated measurements. It includes a combination of measurement error plus day-to-day variation.</p><p>CV = Coefficients of variation is expressed as a percentage and is derived from the technical error and the measurement mean.</p>*<p>Note on insulin: The values reported here are from the repeated measurements obtained at baseline (N = 779) and after (N = 624) the exercise program in HERITAGE (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037887#pone.0037887.s001\" target=\"_blank\">Information S1</a>). The TE used for this report is shown in parentheses.</p><p>To convert pmol/L of insulin to mU/L, divide by 6.945. To convert mmol/L of HDL-C to mg/dL, divide by 0.02586. To convert mmol/L of triglycerides to mg/dl, divide by 0.01129.</p>", "links"=>[], "tags"=>["factors", "repeated", "days", "60"], "article_id"=>301154, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t001", "stats"=>{"downloads"=>3, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reproducibility_of_Risk_Factors_from_Measurements_Repeated_Over_3_Days_on_60_Subjects_/301154", "title"=>"Reproducibility of Risk Factors from Measurements Repeated Over 3 Days on 60 Subjects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:19:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/630592"], "description"=>"†<p>p≤0.05.</p>††<p>p<0.01.</p>†††<p>p<0.001 indicates significant change score within a group.</p><p>To convert pmol/L of insulin to mU/L, divide by 6.945. To convert mmol/L of HDL-C to mg/dL, divide by 0.02586. To convert mmol/L of triglycerides to mg/dl, divide by 0.01129.</p>", "links"=>[], "tags"=>["training-induced", "changes", "factors", "cohorts"], "article_id"=>301071, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t003", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_and_training_induced_changes_in_the_four_risk_factors_for_the_five_cohorts_mean_177_SD_/301071", "title"=>"Baseline and training-induced changes in the four risk factors for the five cohorts (mean ± SD).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:17:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/630731"], "description"=>"<p>The four traits considered were the exercise training-induced changes in fasting insulin, HDL-cholesterol, triglycerides, and resting systolic blood pressure.</p>", "links"=>[], "tags"=>["subjects", "adverse"], "article_id"=>301213, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t008", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_of_Subjects_in_Each_Study_with_1_2_or_3_and_More_Adverse_Responses_/301213", "title"=>"Percentage of Subjects in Each Study with 1, 2, or 3 and More Adverse Responses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:20:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/630449"], "description"=>"<p>Data expressed as means and standard deviations.</p><p>Δ VO2max expressed as the change with exercise training in ml O2 per minute, reported as LS means with age, sex, and baseline VO2max as covariates. Δ VO2max % reported as LS means with age and sex as covariates.</p>†<p>p≤0.05 indicates significant difference in VO2max training response between adverse responders and non-adverse responders.</p>", "links"=>[], "tags"=>["vo2max", "adverse", "responders", "non-adverse"], "article_id"=>300924, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t006", "stats"=>{"downloads"=>7, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_VO2max_response_to_regular_exercise_between_adverse_responders_and_non_adverse_responders_for_each_response_trait_in_each_study_/300924", "title"=>"Comparison of the VO2max response to regular exercise between adverse responders and non-adverse responders for each response trait in each study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:15:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/630633"], "description"=>"<p>Values are given as mean (SD). O<sub>2</sub>max response = post-training O<sub>2</sub>max minus baseline O<sub>2</sub>max (positive value represents improvement in O<sub>2</sub>max).</p><p>All gains in VO<sub>2</sub>max are significant at p<0.05.</p>", "links"=>[], "tags"=>["baseline"], "article_id"=>301113, "categories"=>["Biochemistry", "Marine Biology", "Genetics", "Biotechnology"], "users"=>["Claude Bouchard", "Steven N. Blair", "Timothy S. Church", "Conrad P. Earnest", "James M. Hagberg", "Keijo Häkkinen", "Nathan T. Jenkins", "Laura Karavirta", "William E. Kraus", "Arthur S. Leon", "D. C. Rao", "Mark A. Sarzynski", "James S. Skinner", "Cris A. Slentz", "Tuomo Rankinen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037887.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Data_Including_Baseline_O_2_max_and_its_Response_to_Training_for_the_Six_Cohorts_/301113", "title"=>"Descriptive Data, Including Baseline O<sub>2</sub>max and its Response to Training, for the Six Cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:18:33"}

PMC Usage Stats | Further Information

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