Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts

Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. In this meta-analysis, we identified studies investigat...

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Veröffentlicht in:The Lancet. Public health Jg. 7; H. 3; S. e219 - e228
Hauptverfasser: Paluch, Amanda E, Bajpai, Shivangi, Bassett, David R, Carnethon, Mercedes R, Ekelund, Ulf, Evenson, Kelly R, Galuska, Deborah A, Jefferis, Barbara J, Kraus, William E, Lee, I-Min, Matthews, Charles E, Omura, John D, Patel, Alpa V, Pieper, Carl F, Rees-Punia, Erika, Dallmeier, Dhayana, Klenk, Jochen, Whincup, Peter H, Dooley, Erin E, Pettee Gabriel, Kelley, Palta, Priya, Pompeii, Lisa A, Chernofsky, Ariel, Larson, Martin G, Vasan, Ramachandran S, Spartano, Nicole, Ballin, Marcel, Nordström, Peter, Nordström, Anna, Anderssen, Sigmund A, Hansen, Bjørge H, Cochrane, Jennifer A, Dwyer, Terence, Wang, Jing, Ferrucci, Luigi, Liu, Fangyu, Schrack, Jennifer, Urbanek, Jacek, Saint-Maurice, Pedro F, Yamamoto, Naofumi, Yoshitake, Yutaka, Newton, Robert L, Yang, Shengping, Shiroma, Eric J, Fulton, Janet E
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 01.03.2022
Elsevier
Schlagworte:
Adolescent
Adult
Aged
Exercise
Humans
Internal Medicine
Middle Aged
Proportional Hazards Models
Public Health
Walking
ISSN:2468-2667, 2468-2667
Online-Zugang:Volltext
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Abstract Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose–response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3–9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51–0·71) for quartile 2, 0·55 (0·49–0·62) for quartile 3, and 0·47 (0·39–0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000–8000 steps per day and among adults younger than 60 years until 8000–10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56–0·83]) and a peak of 60 min (0·67 [0·50–0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96–1·32]) and 100 steps per min or faster (0·86 [0·58–1·28]). Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. US Centers for Disease Control and Prevention.
AbstractList Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality.BACKGROUNDAlthough 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality.In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose-response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models.METHODSIn this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose-response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models.We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3-9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51-0·71) for quartile 2, 0·55 (0·49-0·62) for quartile 3, and 0·47 (0·39-0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000-8000 steps per day and among adults younger than 60 years until 8000-10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56-0·83]) and a peak of 60 min (0·67 [0·50-0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96-1·32]) and 100 steps per min or faster (0·86 [0·58-1·28]).FINDINGSWe identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3-9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51-0·71) for quartile 2, 0·55 (0·49-0·62) for quartile 3, and 0·47 (0·39-0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000-8000 steps per day and among adults younger than 60 years until 8000-10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56-0·83]) and a peak of 60 min (0·67 [0·50-0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96-1·32]) and 100 steps per min or faster (0·86 [0·58-1·28]).Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity.INTERPRETATIONTaking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity.US Centers for Disease Control and Prevention.FUNDINGUS Centers for Disease Control and Prevention.
Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose–response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3–9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51–0·71) for quartile 2, 0·55 (0·49–0·62) for quartile 3, and 0·47 (0·39–0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000–8000 steps per day and among adults younger than 60 years until 8000–10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56–0·83]) and a peak of 60 min (0·67 [0·50–0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96–1·32]) and 100 steps per min or faster (0·86 [0·58–1·28]). Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. US Centers for Disease Control and Prevention.
SummaryBackgroundAlthough 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. MethodsIn this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose–response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. FindingsWe identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3–9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51–0·71) for quartile 2, 0·55 (0·49–0·62) for quartile 3, and 0·47 (0·39–0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000–8000 steps per day and among adults younger than 60 years until 8000–10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56–0·83]) and a peak of 60 min (0·67 [0·50–0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96–1·32]) and 100 steps per min or faster (0·86 [0·58–1·28]). InterpretationTaking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. FundingUS Centers for Disease Control and Prevention.
BACKGROUND: Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. METHODS: In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose-response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. FINDINGS: We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3-9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51-0·71) for quartile 2, 0·55 (0·49-0·62) for quartile 3, and 0·47 (0·39-0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000-8000 steps per day and among adults younger than 60 years until 8000-10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56-0·83]) and a peak of 60 min (0·67 [0·50-0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96-1·32]) and 100 steps per min or faster (0·86 [0·58-1·28]). INTERPRETATION: Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. FUNDING: US Centers for Disease Control and Prevention.
Background: Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality. Methods: In this meta-analysis, we identified studies investigating the effect of daily step count on all-cause mortality in adults (aged ≥18 years), via a previously published systematic review and expert knowledge of the field. We asked participating study investigators to process their participant-level data following a standardised protocol. The primary outcome was all-cause mortality collected from death certificates and country registries. We analysed the dose–response association of steps per day and stepping rate with all-cause mortality. We did Cox proportional hazards regression analyses using study-specific quartiles of steps per day and calculated hazard ratios (HRs) with inverse-variance weighted random effects models. Findings: We identified 15 studies, of which seven were published and eight were unpublished, with study start dates between 1999 and 2018. The total sample included 47 471 adults, among whom there were 3013 deaths (10·1 per 1000 participant-years) over a median follow-up of 7·1 years ([IQR 4·3–9·9]; total sum of follow-up across studies was 297 837 person-years). Quartile median steps per day were 3553 for quartile 1, 5801 for quartile 2, 7842 for quartile 3, and 10 901 for quartile 4. Compared with the lowest quartile, the adjusted HR for all-cause mortality was 0·60 (95% CI 0·51–0·71) for quartile 2, 0·55 (0·49–0·62) for quartile 3, and 0·47 (0·39–0·57) for quartile 4. Restricted cubic splines showed progressively decreasing risk of mortality among adults aged 60 years and older with increasing number of steps per day until 6000–8000 steps per day and among adults younger than 60 years until 8000–10 000 steps per day. Adjusting for number of steps per day, comparing quartile 1 with quartile 4, the association between higher stepping rates and mortality was attenuated but remained significant for a peak of 30 min (HR 0·67 [95% CI 0·56–0·83]) and a peak of 60 min (0·67 [0·50–0·90]), but not significant for time (min per day) spent walking at 40 steps per min or faster (1·12 [0·96–1·32]) and 100 steps per min or faster (0·86 [0·58–1·28]). Interpretation: Taking more steps per day was associated with a progressively lower risk of all-cause mortality, up to a level that varied by age. The findings from this meta-analysis can be used to inform step guidelines for public health promotion of physical activity. Funding: US Centers for Disease Control and Prevention.
Author Pieper, Carl F
Evenson, Kelly R
Vasan, Ramachandran S
Chernofsky, Ariel
Hansen, Bjørge H
Spartano, Nicole
Yamamoto, Naofumi
Bassett, David R
Shiroma, Eric J
Cochrane, Jennifer A
Pompeii, Lisa A
Fulton, Janet E
Rees-Punia, Erika
Patel, Alpa V
Dallmeier, Dhayana
Liu, Fangyu
Kraus, William E
Saint-Maurice, Pedro F
Jefferis, Barbara J
Matthews, Charles E
Dwyer, Terence
Ferrucci, Luigi
Omura, John D
Whincup, Peter H
Paluch, Amanda E
Lee, I-Min
Anderssen, Sigmund A
Bajpai, Shivangi
Galuska, Deborah A
Klenk, Jochen
Wang, Jing
Yang, Shengping
Ballin, Marcel
Nordström, Peter
Newton, Robert L
Carnethon, Mercedes R
Ekelund, Ulf
Palta, Priya
Larson, Martin G
Nordström, Anna
Schrack, Jennifer
Yoshitake, Yutaka
Dooley, Erin E
Urbanek, Jacek
Pettee Gabriel, Kelley
Author_xml – sequence: 1
  givenname: Amanda E
  surname: Paluch
  fullname: Paluch, Amanda E
  email: apaluch@umass.edu
  organization: Department of Kinesiology and Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA, USA
– sequence: 2
  givenname: Shivangi
  surname: Bajpai
  fullname: Bajpai, Shivangi
  organization: Department of Kinesiology and Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA, USA
– sequence: 3
  givenname: David R
  surname: Bassett
  fullname: Bassett, David R
  organization: Department Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN, USA
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  givenname: Mercedes R
  surname: Carnethon
  fullname: Carnethon, Mercedes R
  organization: Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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  surname: Ekelund
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  organization: Department of Sport Medicine, Norwegian School of Sport Sciences, Norwegian Institute of Public Health, Oslo, Norway
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  givenname: Kelly R
  surname: Evenson
  fullname: Evenson, Kelly R
  organization: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
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  givenname: Deborah A
  surname: Galuska
  fullname: Galuska, Deborah A
  organization: Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
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  givenname: Barbara J
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  fullname: Jefferis, Barbara J
  organization: Department of Primary Care and Population Health, UCL Medical School, London, UK
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  givenname: William E
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  fullname: Kraus, William E
  organization: Duke Molecular Physiology Institute and Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA
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  fullname: Lee, I-Min
  organization: Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA
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  surname: Matthews
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  organization: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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  givenname: John D
  surname: Omura
  fullname: Omura, John D
  organization: Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
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  organization: Department of Population Science, American Cancer Society, Atlanta, GA, USA
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  givenname: Carl F
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  fullname: Pieper, Carl F
  organization: Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC
– sequence: 15
  givenname: Erika
  surname: Rees-Punia
  fullname: Rees-Punia, Erika
  organization: Department of Population Science, American Cancer Society, Atlanta, GA, USA
– sequence: 16
  givenname: Dhayana
  surname: Dallmeier
  fullname: Dallmeier, Dhayana
  organization: Agaplesion Bethesda Clinic, Research Unit on Ageing, Ulm, Germany
– sequence: 17
  givenname: Jochen
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  fullname: Klenk, Jochen
  organization: Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
– sequence: 18
  givenname: Peter H
  surname: Whincup
  fullname: Whincup, Peter H
  organization: Population Health Research Institute, St George's, University of London, London, UK
– sequence: 19
  givenname: Erin E
  surname: Dooley
  fullname: Dooley, Erin E
  organization: Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
– sequence: 20
  givenname: Kelley
  surname: Pettee Gabriel
  fullname: Pettee Gabriel, Kelley
  organization: Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
– sequence: 21
  givenname: Priya
  surname: Palta
  fullname: Palta, Priya
  organization: Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA
– sequence: 22
  givenname: Lisa A
  surname: Pompeii
  fullname: Pompeii, Lisa A
  organization: Department of Pediatrics, Center for Epidemiology and Population Health, Baylor College of Medicine, Houston, TX, USA
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  givenname: Ariel
  surname: Chernofsky
  fullname: Chernofsky, Ariel
  organization: Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
– sequence: 24
  givenname: Martin G
  surname: Larson
  fullname: Larson, Martin G
  organization: Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
– sequence: 25
  givenname: Ramachandran S
  surname: Vasan
  fullname: Vasan, Ramachandran S
  organization: Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
– sequence: 26
  givenname: Nicole
  surname: Spartano
  fullname: Spartano, Nicole
  organization: Department of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, USA
– sequence: 27
  givenname: Marcel
  surname: Ballin
  fullname: Ballin, Marcel
  organization: Department of Community Medicine and Rehabilitation, Unit of Geriatric Medicine, Umeå University, Umeå, Sweden
– sequence: 28
  givenname: Peter
  surname: Nordström
  fullname: Nordström, Peter
  organization: Department of Community Medicine and Rehabilitation, Unit of Geriatric Medicine, Umeå University, Umeå, Sweden
– sequence: 29
  givenname: Anna
  surname: Nordström
  fullname: Nordström, Anna
  organization: Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
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  organization: Department of Sport Medicine, Norwegian School of Sport Sciences, Norwegian Institute of Public Health, Oslo, Norway
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  givenname: Jennifer A
  surname: Cochrane
  fullname: Cochrane, Jennifer A
  organization: Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
– sequence: 33
  givenname: Terence
  surname: Dwyer
  fullname: Dwyer, Terence
  organization: Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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  givenname: Jing
  surname: Wang
  fullname: Wang, Jing
  organization: Murdoch Children's Research Institute, Melbourne, VIC, Australia
– sequence: 35
  givenname: Luigi
  surname: Ferrucci
  fullname: Ferrucci, Luigi
  organization: Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
– sequence: 36
  givenname: Fangyu
  surname: Liu
  fullname: Liu, Fangyu
  organization: Department of Epidemiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
– sequence: 37
  givenname: Jennifer
  surname: Schrack
  fullname: Schrack, Jennifer
  organization: Department of Epidemiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
– sequence: 38
  givenname: Jacek
  surname: Urbanek
  fullname: Urbanek, Jacek
  organization: Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
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  givenname: Pedro F
  surname: Saint-Maurice
  fullname: Saint-Maurice, Pedro F
  organization: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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  givenname: Naofumi
  surname: Yamamoto
  fullname: Yamamoto, Naofumi
  organization: Faculty of Collaborative Regional Innovation, Ehime University, Matsuyama, Ehime, Japan
– sequence: 41
  givenname: Yutaka
  surname: Yoshitake
  fullname: Yoshitake, Yutaka
  organization: Institute for Pacific Rim Studies, Meio University, Nago, Okinawa, Japan
– sequence: 42
  givenname: Robert L
  surname: Newton
  fullname: Newton, Robert L
  organization: Pennington Biomedical Research Center, Baton Rouge, LA, USA
– sequence: 43
  givenname: Shengping
  surname: Yang
  fullname: Yang, Shengping
  organization: Pennington Biomedical Research Center, Baton Rouge, LA, USA
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  givenname: Eric J
  surname: Shiroma
  fullname: Shiroma, Eric J
  organization: Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA
– sequence: 45
  givenname: Janet E
  surname: Fulton
  fullname: Fulton, Janet E
  organization: Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35247352$$D View this record in MEDLINE/PubMed
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-195542$$DView record from Swedish Publication Index (Umeå universitet)
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Contributors
AEP, DRB, MRC, UE, KRE, DAG, BJJ, WEK, I-ML, CEM, JDO, AVP, CFP, ER-P, and JEF conceived and designed the study and interpreted the data. AEP, CFP, and SB did the statistical analyses and accessed and verified the underlying study data. AEP and JEF drafted the manuscript. All authors acquired the data. All authors critically revised the manuscript for intellectual content. All authors had full access to the data in the study and had final responsibility for the decision to submit for publication.
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Snippet Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the...
SummaryBackgroundAlthough 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to...
BACKGROUND: Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to...
Background: Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to...
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SubjectTerms Adolescent
Adult
Aged
Exercise
Humans
Internal Medicine
Middle Aged
Proportional Hazards Models
Public Health
Walking
Title Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts
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