Leisure Time Physical Activity of Moderate to Vigorous Intensity and Mortality: A Large Pooled Cohort Analysis
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{"title"=>"Leisure Time Physical Activity of Moderate to Vigorous Intensity and Mortality: A Large Pooled Cohort Analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Steven C.", "last_name"=>"Moore", "scopus_author_id"=>"8867509100"}, {"first_name"=>"Alpa V.", "last_name"=>"Patel", "scopus_author_id"=>"7403524332"}, {"first_name"=>"Charles E.", "last_name"=>"Matthews", "scopus_author_id"=>"7201785720"}, {"first_name"=>"Amy", "last_name"=>"Berrington de Gonzalez", "scopus_author_id"=>"56079026300"}, {"first_name"=>"Yikyung", "last_name"=>"Park", "scopus_author_id"=>"9939659000"}, {"first_name"=>"Hormuzd A.", "last_name"=>"Katki", "scopus_author_id"=>"6602212778"}, {"first_name"=>"Martha S.", "last_name"=>"Linet", "scopus_author_id"=>"7005032041"}, {"first_name"=>"Elisabete", "last_name"=>"Weiderpass", "scopus_author_id"=>"7005663401"}, {"first_name"=>"Kala", "last_name"=>"Visvanathan", "scopus_author_id"=>"7004522568"}, {"first_name"=>"Kathy J.", "last_name"=>"Helzlsouer", "scopus_author_id"=>"7005368889"}, {"first_name"=>"Michael", "last_name"=>"Thun", "scopus_author_id"=>"7006846858"}, {"first_name"=>"Susan M.", "last_name"=>"Gapstur", "scopus_author_id"=>"7004025701"}, {"first_name"=>"Patricia", "last_name"=>"Hartge", "scopus_author_id"=>"7005897469"}, {"first_name"=>"I. Min", "last_name"=>"Lee", "scopus_author_id"=>"7404437968"}], "year"=>2012, "source"=>"PLoS Medicine", "identifiers"=>{"pmid"=>"23139642", "isbn"=>"1549-1676 (Electronic)\\r1549-1277 (Linking)", "sgr"=>"84870267022", "doi"=>"10.1371/journal.pmed.1001335", "issn"=>"15491277", "scopus"=>"2-s2.0-84870267022", "pui"=>"366156176"}, "id"=>"5795124e-c9a4-3698-a215-e831b554fe0d", "abstract"=>"BACKGROUND: Leisure time physical activity reduces the risk of premature mortality, but the years of life expectancy gained at different levels remains unclear. Our objective was to determine the years of life gained after age 40 associated with various levels of physical activity, both overall and according to body mass index (BMI) groups, in a large pooled analysis. METHODS AND FINDINGS: We examined the association of leisure time physical activity with mortality during follow-up in pooled data from six prospective cohort studies in the National Cancer Institute Cohort Consortium, comprising 654,827 individuals, 21-90 y of age. Physical activity was categorized by metabolic equivalent hours per week (MET-h/wk). Life expectancies and years of life gained/lost were calculated using direct adjusted survival curves (for participants 40+ years of age), with 95% confidence intervals (CIs) derived by bootstrap. The study includes a median 10 y of follow-up and 82,465 deaths. A physical activity level of 0.1-3.74 MET-h/wk, equivalent to brisk walking for up to 75 min/wk, was associated with a gain of 1.8 (95% CI: 1.6-2.0) y in life expectancy relative to no leisure time activity (0 MET-h/wk). Higher levels of physical activity were associated with greater gains in life expectancy, with a gain of 4.5 (95% CI: 4.3-4.7) y at the highest level (22.5+ MET-h/wk, equivalent to brisk walking for 450+ min/wk). Substantial gains were also observed in each BMI group. In joint analyses, being active (7.5+ MET-h/wk) and normal weight (BMI 18.5-24.9) was associated with a gain of 7.2 (95% CI: 6.5-7.9) y of life compared to being inactive (0 MET-h/wk) and obese (BMI 35.0+). A limitation was that physical activity and BMI were ascertained by self report. CONCLUSIONS: More leisure time physical activity was associated with longer life expectancy across a range of activity levels and BMI groups. Please see later in the article for the Editors' Summary.", "link"=>"http://www.mendeley.com/research/leisure-time-physical-activity-moderate-vigorous-intensity-mortality-large-pooled-cohort-analysis-15", "reader_count"=>235, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>12, "Student > Doctoral Student"=>17, "Researcher"=>42, "Student > Ph. D. Student"=>48, "Student > Postgraduate"=>11, "Student > Master"=>38, "Other"=>22, "Student > Bachelor"=>25, "Lecturer"=>8, "Lecturer > Senior Lecturer"=>2, "Professor"=>8}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>12, "Student > Doctoral Student"=>17, "Researcher"=>42, "Student > Ph. D. Student"=>48, "Student > Postgraduate"=>11, "Student > Master"=>38, "Other"=>22, "Student > Bachelor"=>25, "Lecturer"=>8, "Lecturer > Senior Lecturer"=>2, "Professor"=>8}, "reader_count_by_subject_area"=>{"Unspecified"=>21, "Agricultural and Biological Sciences"=>26, "Arts and Humanities"=>3, "Business, Management and Accounting"=>2, "Chemical Engineering"=>1, "Chemistry"=>1, "Computer Science"=>4, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>3, "Nursing and Health Professions"=>8, "Biochemistry, Genetics and Molecular Biology"=>4, "Materials Science"=>1, "Medicine and Dentistry"=>79, "Design"=>2, "Neuroscience"=>2, "Sports and Recreations"=>42, "Psychology"=>15, "Social Sciences"=>19}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>79}, "Social Sciences"=>{"Social Sciences"=>19}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>42}, "Psychology"=>{"Psychology"=>15}, "Unspecified"=>{"Unspecified"=>21}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>3}, "Design"=>{"Design"=>2}, "Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>26}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>8}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}}, "reader_count_by_country"=>{"United States"=>6, "Japan"=>2, "United Kingdom"=>7, "Switzerland"=>1, "Portugal"=>1, "Spain"=>3, "Netherlands"=>1, "Norway"=>1, "Luxembourg"=>1, "Finland"=>1, "Brazil"=>8, "Denmark"=>1, "Mexico"=>1, "Chile"=>2, "France"=>1, "Tunisia"=>1, "Peru"=>1, "Germany"=>4}, "group_count"=>6}

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  • {"files"=>["https://ndownloader.figshare.com/files/548300"], "description"=>"<p>The points shown represent the HR (A) or years of life gained (B) for each of the physical activity categories examined, and the vertical lines represent the 95% CIs for that physical activity category. The reference category for both (A) and (B) is 0.0 MET-h/wk of leisure time physical activity. The lines connecting the points help to illustrate the dose–response relationship between physical activity and risk of mortality; the shape of the association shown here is similar to that obtained using spline modeling (<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335.s001\" target=\"_blank\">Figure S1</a>). HRs were calculated in models stratified by study that used age as the underlying time scale. Multivariable models were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, BMI (<18.5, 18.5–19.9, 20–22.4, 22.5–24.9, 25–27.4, 27.5–29.9, 30+ kg/m<sup>2</sup>), and smoking status (never, former, current). Years of life expectancy gained after age 40 were derived using direct adjusted survival curves <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Ghali1\" target=\"_blank\">[31]</a>,<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Makuch1\" target=\"_blank\">[32]</a> for participants who were 40+ y of age at baseline (97.5% of participants).</p>", "links"=>[], "tags"=>["ratios", "gains", "expectancy"], "article_id"=>218784, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.g001", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leisure_time_physical_activity_level_and_hazard_ratios_for_mortality_and_gains_in_life_expectancy_after_age_40_/218784", "title"=>"Leisure time physical activity level and hazard ratios for mortality and gains in life expectancy after age 40.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-06 02:26:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/548851"], "description"=>"<p>HRs were calculated in models stratified by study that used age as the underlying time scale. Multivariable models were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, BMI (<18.5, 18.5–19.9, 20–22.4, 22.5–24.9, 25–27.4, 27.5–29.9, 30+ kg/m<sup>2</sup>), and smoking status (never, former, current). If a covariate was a stratification variable for a particular model, then it was excluded from multivariable adjustment. Years of life expectancy gained after age 40 were derived using direct adjusted survival curves <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Ghali1\" target=\"_blank\">[31]</a>,<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Makuch1\" target=\"_blank\">[32]</a> for participants who were 40+ y of age at baseline (97.5% of participants).</p>a<p>Years of life expectancy gained after age 60. Cancer and/or heart disease were uncommon prior to this age in our dataset.</p>b<p>Participants who had never smoked and who had no history of heart disease or cancer.</p>", "links"=>[], "tags"=>["multivariable", "years", "gained", "40", "smoking", "co-morbidity"], "article_id"=>219330, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t006", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leisure_time_physical_activity_and_multivariable_hazard_ratio_of_mortality_and_years_of_life_gained_after_age_40_according_to_smoking_and_co_morbidity_status_/219330", "title"=>"Leisure time physical activity and multivariable hazard ratio of mortality and years of life gained after age 40 according to smoking and co-morbidity status.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:35:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/548755"], "description"=>"<p>HRs were calculated in models stratified by study that used age as the underlying time scale. Multivariable models were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, BMI (<18.5, 18.5–19.9, 20–22.4, 22.5–24.9, 25–27.4, 27.5–29.9, 30+ kg/m<sup>2</sup>), and smoking status (never, former, current). If a covariate was a stratification variable for a particular model, then it was excluded from multivariable adjustment. Years of life expectancy gained after age 40 were derived using direct adjusted survival curves <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Ghali1\" target=\"_blank\">[31]</a>,<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Makuch1\" target=\"_blank\">[32]</a> for participants who were 40+y of age at baseline (97.5% of participants).</p>", "links"=>[], "tags"=>["multivariable", "years", "gained", "40"], "article_id"=>219238, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t005", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leisure_time_physical_activity_and_multivariable_hazard_ratio_of_mortality_and_years_of_life_gained_after_age_40_for_all_participants_and_according_to_gender_and_race_ethnicity_/219238", "title"=>"Leisure time physical activity and multivariable hazard ratio of mortality and years of life gained after age 40 for all participants and according to gender and race/ethnicity.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:33:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/548474"], "description"=>"<p>The bars indicate the number of years of life lost for each category, and the vertical lines are the 95% CIs. The reference category is normal weight and 7.5+ MET-h/wk of physical activity (i.e., meeting US recommended physical activity levels). Normal weight is a BMI of 18.5–24.9 kg/m<sup>2</sup>, overweight is a BMI of 25.0–29.9 kg/m<sup>2</sup>, obese class I is a BMI of 30.0–34.9 kg/m<sup>2</sup>, and obese class II+ is a BMI of 35.0 kg/m<sup>2</sup> or greater. Years of life expectancy lost after age 40 were derived using direct adjusted survival curves <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Ghali1\" target=\"_blank\">[31]</a>,<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Makuch1\" target=\"_blank\">[32]</a> for participants who were 40+ y of age at baseline and not underweight (96.5% of participants). Life expectancy models used age as the underlying time scale and were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, and smoking status (never, former, current).</p>", "links"=>[], "tags"=>["expectancy", "40", "categories"], "article_id"=>218956, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.g002", "stats"=>{"downloads"=>3, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Years_of_life_expectancy_lost_after_age_40_in_relation_to_joint_categories_of_physical_activity_level_and_body_mass_index_/218956", "title"=>"Years of life expectancy lost after age 40 in relation to joint categories of physical activity level and body mass index.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-06 02:29:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/548663"], "description"=>"<p>Years of life expectancy gained after age 40 were derived using direct adjusted survival curves <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Ghali1\" target=\"_blank\">[31]</a>,<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Makuch1\" target=\"_blank\">[32]</a> for participants who were 40+y of age at baseline (97.5% of participants).</p>a<p>HRs were calculated in models stratified by study that used age as the underlying time scale. Multivariable models were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, BMI (<18.5, 18.5–19.9, 20–22.4, 22.5–24.9, 25–27.4, 27.5–29.9, 30+ kg/m<sup>2</sup>), and smoking status (never, former, current).</p>", "links"=>[], "tags"=>["years", "gained"], "article_id"=>219149, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leisure_time_physical_activity_and_hazard_ratio_of_mortality_and_years_of_life_gained_after_age_40_/219149", "title"=>"Leisure time physical activity and hazard ratio of mortality and years of life gained after age 40.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:32:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/548803"], "description"=>"<p>HRs (95% CIs) were calculated in models that used age as the underlying time scale. Multivariable models were adjusted for gender, alcohol consumption (0, 0.1–14.9, 15.0–29.9, 30.0+ g/d), education (did not complete high school, completed high school, post-high-school training, some college, completed college), marital status (married, divorced, widowed, unmarried), history of heart disease, history of cancer, BMI (<18.5, 18.5–19.9, 20–22.4, 22.5–24.9, 25–27.4, 27.5–29.9, 30+ kg/m<sup>2</sup>), and smoking status (never, former, current).</p>a<p>Meta-analysis estimates were calculated using DerSimonian and Laird random effects models <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-DerSimonian1\" target=\"_blank\">[29]</a>, and statistical heterogeneity was assessed by the <i>I</i><sup>2</sup> statistic <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001335#pmed.1001335-Higgins1\" target=\"_blank\">[30]</a>.</p><p>AARP, NIH-AARP Diet and Health Study; ref, reference; USRT, U.S. Radiologic Technologists cohort; WHS, Women's Health Study; WLH, Women's Lifestyle and Health study.</p>", "links"=>[], "tags"=>["multivariable", "stratified"], "article_id"=>219284, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t004", "stats"=>{"downloads"=>8, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leisure_time_physical_activity_and_multivariable_hazard_ratio_of_mortality_stratified_by_cohort_/219284", "title"=>"Leisure time physical activity and multivariable hazard ratio of mortality, stratified by cohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:34:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/548704"], "description"=>"<p>Prevalence of demographic and lifestyle characteristics according to physical activity level.</p>", "links"=>[], "tags"=>["characteristics"], "article_id"=>219189, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t002", "stats"=>{"downloads"=>6, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_demographic_and_lifestyle_characteristics_according_to_physical_activity_level_/219189", "title"=>"Prevalence of demographic and lifestyle characteristics according to physical activity level.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:33:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/548613"], "description"=>"a<p>History of cancer and/or heart disease.</p><p>IQR, interquartile range; SD, standard deviation.</p>", "links"=>[], "tags"=>["characteristics", "prospective", "cohort"], "article_id"=>219097, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001335.t001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Selected_characteristics_according_to_prospective_cohort_study_/219097", "title"=>"Selected characteristics according to prospective cohort study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-06 02:31:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/293564", "https://ndownloader.figshare.com/files/293657", "https://ndownloader.figshare.com/files/293702", "https://ndownloader.figshare.com/files/293751", "https://ndownloader.figshare.com/files/293821", "https://ndownloader.figshare.com/files/293884", "https://ndownloader.figshare.com/files/293939", "https://ndownloader.figshare.com/files/294003", "https://ndownloader.figshare.com/files/294066", "https://ndownloader.figshare.com/files/294119", "https://ndownloader.figshare.com/files/294183", "https://ndownloader.figshare.com/files/294229", "https://ndownloader.figshare.com/files/294285", "https://ndownloader.figshare.com/files/294338"], "description"=>"<div><h3>Background</h3><p>Leisure time physical activity reduces the risk of premature mortality, but the years of life expectancy gained at different levels remains unclear. Our objective was to determine the years of life gained after age 40 associated with various levels of physical activity, both overall and according to body mass index (BMI) groups, in a large pooled analysis.</p> <h3>Methods and Findings</h3><p>We examined the association of leisure time physical activity with mortality during follow-up in pooled data from six prospective cohort studies in the National Cancer Institute Cohort Consortium, comprising 654,827 individuals, 21–90 y of age. Physical activity was categorized by metabolic equivalent hours per week (MET-h/wk). Life expectancies and years of life gained/lost were calculated using direct adjusted survival curves (for participants 40+ years of age), with 95% confidence intervals (CIs) derived by bootstrap. The study includes a median 10 y of follow-up and 82,465 deaths. A physical activity level of 0.1–3.74 MET-h/wk, equivalent to brisk walking for up to 75 min/wk, was associated with a gain of 1.8 (95% CI: 1.6–2.0) y in life expectancy relative to no leisure time activity (0 MET-h/wk). Higher levels of physical activity were associated with greater gains in life expectancy, with a gain of 4.5 (95% CI: 4.3–4.7) y at the highest level (22.5+ MET-h/wk, equivalent to brisk walking for 450+ min/wk). Substantial gains were also observed in each BMI group. In joint analyses, being active (7.5+ MET-h/wk) and normal weight (BMI 18.5–24.9) was associated with a gain of 7.2 (95% CI: 6.5–7.9) y of life compared to being inactive (0 MET-h/wk) and obese (BMI 35.0+). A limitation was that physical activity and BMI were ascertained by self report.</p> <h3>Conclusions</h3><p>More leisure time physical activity was associated with longer life expectancy across a range of activity levels and BMI groups.</p> <p> <em>Please see later in the article for the Editors' Summary</em></p> </div>", "links"=>[], "tags"=>["leisure", "vigorous", "pooled", "cohort", "analysis"], "article_id"=>117791, "categories"=>["Biotechnology"], "users"=>["Steven C. Moore", "Alpa V. Patel", "Charles E. Matthews", "Amy Berrington de Gonzalez", "Yikyung Park", "Hormuzd A. Katki", "Martha S. Linet", "Elisabete Weiderpass", "Kala Visvanathan", "Kathy J. Helzlsouer", "Michael Thun", "Susan M. Gapstur", "Patricia Hartge", "I-Min Lee"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001335.s001", "https://dx.doi.org/10.1371/journal.pmed.1001335.s002", "https://dx.doi.org/10.1371/journal.pmed.1001335.s003", "https://dx.doi.org/10.1371/journal.pmed.1001335.s004", "https://dx.doi.org/10.1371/journal.pmed.1001335.s005", "https://dx.doi.org/10.1371/journal.pmed.1001335.s006", "https://dx.doi.org/10.1371/journal.pmed.1001335.s007", "https://dx.doi.org/10.1371/journal.pmed.1001335.s008", "https://dx.doi.org/10.1371/journal.pmed.1001335.s009", "https://dx.doi.org/10.1371/journal.pmed.1001335.s010", "https://dx.doi.org/10.1371/journal.pmed.1001335.s011", "https://dx.doi.org/10.1371/journal.pmed.1001335.s012", "https://dx.doi.org/10.1371/journal.pmed.1001335.s013", "https://dx.doi.org/10.1371/journal.pmed.1001335.s014"], "stats"=>{"downloads"=>28, "page_views"=>51, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Leisure_Time_Physical_Activity_of_Moderate_to_Vigorous_Intensity_and_Mortality_A_Large_Pooled_Cohort_Analysis__/117791", "title"=>"Leisure Time Physical Activity of Moderate to Vigorous Intensity and Mortality: A Large Pooled Cohort Analysis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-11-06 02:09:51"}

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Relative Metric

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