Evidence map›Paper›PMID 27183032›Full record

ArticleJAMA internal medicine2016

Association of Leisure-Time Physical Activity With Risk of 26 Types of Cancer in 1.44 Million Adults.

Steven C Moore, I-Min Lee, Elisabete Weiderpass, Peter T Campbell, Joshua N Sampson, Cari M Kitahara, Sarah K Keadle, Hannah Arem, Amy Berrington de Gonzalez, Patricia Hartge and 22 more

4 registry-linked trialsOpen access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in JAMA internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 759 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
759citing papers in PubMed, 11 pooled it
87.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03500393 naterminatednot on this mapstarted 2018, after this paper: background citation

A Remotely Supervised Exercise Program for Lung Cancer Patients Undergoing Chemoradiation

TypeinterventionalSponsorDartmouth-Hitchcock Medical CenterRan2018 to 2021Enrolled4ConditionsLung CancerArmsRemotely Supervised Exercise (REM), Unsupervised Exercise (UNSUP)
NCT05401045 nacompletednot on this mapstarted 2023, after this paper: background citation

Effect of a Self-designed Metabolic Equivalent Exercise Intervention on Cancer-related Fatigue in Patients With Gastric Cancer

TypeinterventionalSponsorRuijin HospitalRan2023 to 2023Enrolled119ConditionsNeoplasm of StomachArmsMet exercises
NCT06522971 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

Exploration of the Molecular Mechanisms Behind the Effects of Physical Exercise on Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

TypeinterventionalSponsorLatvian Biomedical Research and Study CentreRan2022 to 2027Enrolled55ConditionsBreast CancerArmsHigh-intensiy interval training
NCT06565858 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Can Cardiac Muscle Contraction Explain the Rarity of Tumors in the Heart?

TypeobservationalSponsorEuropean Institute of OncologyRan2024 to 2026Enrolled750ConditionsSarcoma
3 · Its place in the literature

Who cites it

759 citing papers in PubMed, 11 syntheses or guidelines pooled it, 1,458 citations in OpenAlex.

  1. Pooled it
  2. Apathy and Physical Activity: A Systematic Review and Meta-Analysis.Physiotherapy Canada. Physiotherapie Canada · 2026
    Pooled it
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  12. Effects of Tai Chi Chuan on physical function and health in breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Trial
  13. Trial
  14. Exercise therapy in cancer prevention and treatment.Nature reviews. Clinical oncology · 2026
    Review
  15. Anthropometric factors, physical activity, and the risk of soft tissue sarcoma: a case-control study.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026
    Article
  16. Review
  17. Cancer and Health Inequalities.British journal of cancer · 2026
    Review
  18. Article
  19. Article
  20. Article

699 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 17 institutions in 5 countries.

Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
I-Min LeeBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Elisabete WeiderpassDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden4Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Arctic University of Norway, Tromsø, Norway5Genetic Epidemiology Group, Folkh.
Peter T CampbellEpidemiology Research Program, American Cancer Society, Atlanta, Georgia.
Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Cari M KitaharaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Sarah K KeadleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Hannah AremDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland8now with USAID Bureau for Global Health, Washington, DC.
Amy Berrington de GonzalezDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Patricia HartgeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden9Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Cindy K BlairDivision of Epidemiology, Biostatistics, and Preventive Medicine, University of New Mexico, Albuquerque.
Kristin B BorchDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, Arctic University of Norway, Tromsø, Norway.
Eric BoydInformation Management Services, Inc, Rockville, Maryland.
David P CheckDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Agnès FournierCentre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Villejuif, France.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Marc GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, England14now with Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
Mattias JohannsonGenetic Epidemiology Group, International Agency for Research on Cancer (IARC), Lyon, France16Department of Biobank Research, Umeå University, Umeå, Sweden.
Kay-Tee KhawCambridge Institute of Public Health, University of Cambridge, Cambridge, England.
Martha S LinetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Nicola OrsiniUnit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Yikyung ParkDivision of Public Health Sciences, Washington University School of Medicine, St Louis, Missouri.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, England.
Kim RobienDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC.
Catherine SchairerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Howard SessoBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Michael SpriggsInformation Management Services, Inc, Rockville, Maryland.
Roy Van DusenInformation Management Services, Inc, Rockville, Maryland.
Alicja WolkUnit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Alpa V PatelEpidemiology Research Program, American Cancer Society, Atlanta, Georgia.
Division of Cancer Epidemiology and GeneticsInformation Management Services · USNational Cancer Institute · USAmerican Cancer Society · USHarvard University · USKarolinska Institutet · SEUiT The Arctic University of Norway · NOBrigham and Women's Hospital · USCentre de recherche en Epidémiologie et Santé des Populations · FRCentre International de Recherche sur le Cancer · FRImperial College London · GBMilken Institute · USUmeå University · SEUnited States Agency for International Development · USUniversity of Cambridge · GBUniversity of New Mexico · USWashington University in St. Louis · US

Funding

EPIDEMIOLOGY OF CANCER IN A COHORT OF OLDER WOMENR01CA039742 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LAZOVICH, DEANN · 1985 to 2014
$8.0M
Studies of other risk factors for radiosensitive tumorsZIACP010219 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KITAHARA, CARI · 2011 to 2025
$6.0M
Cancer Research UK 14136Intramural NIH HHS Z99 CA999999Medical Research Council G0401527Medical Research Council MR/N003284/1NCI NIH HHS R01 CA039742World Health Organization 001
6 · The paper itself

Abstract

importanceLeisure-time physical activity has been associated with lower risk of heart-disease and all-cause mortality, but its association with risk of cancer is not well understood.

objectiveTo determine the association of leisure-time physical activity with incidence of common types of cancer and whether associations vary by body size and/or smoking. DESIGN, SETTING, AND

participantsWe pooled data from 12 prospective US and European cohorts with self-reported physical activity (baseline, 1987-2004). We used multivariable Cox regression to estimate hazard ratios (HRs) and 95% confidence intervals for associations of leisure-time physical activity with incidence of 26 types of cancer. Leisure-time physical activity levels were modeled as cohort-specific percentiles on a continuous basis and cohort-specific results were synthesized by random-effects meta-analysis. Hazard ratios for high vs low levels of activity are based on a comparison of risk at the 90th vs 10th percentiles of activity. The data analysis was performed from January 1, 2014, to June 1, 2015. EXPOSURES: Leisure-time physical activity of a moderate to vigorous intensity. MAIN OUTCOMES AND MEASURES: Incident cancer during follow-up.

resultsA total of 1.44 million participants (median [range] age, 59 [19-98] years; 57% female) and 186 932 cancers were included. High vs low levels of leisure-time physical activity were associated with lower risks of 13 cancers: esophageal adenocarcinoma (HR, 0.58; 95% CI, 0.37-0.89), liver (HR, 0.73; 95% CI, 0.55-0.98), lung (HR, 0.74; 95% CI, 0.71-0.77), kidney (HR, 0.77; 95% CI, 0.70-0.85), gastric cardia (HR, 0.78; 95% CI, 0.64-0.95), endometrial (HR, 0.79; 95% CI, 0.68-0.92), myeloid leukemia (HR, 0.80; 95% CI, 0.70-0.92), myeloma (HR, 0.83; 95% CI, 0.72-0.95), colon (HR, 0.84; 95% CI, 0.77-0.91), head and neck (HR, 0.85; 95% CI, 0.78-0.93), rectal (HR, 0.87; 95% CI, 0.80-0.95), bladder (HR, 0.87; 95% CI, 0.82-0.92), and breast (HR, 0.90; 95% CI, 0.87-0.93). Body mass index adjustment modestly attenuated associations for several cancers, but 10 of 13 inverse associations remained statistically significant after this adjustment. Leisure-time physical activity was associated with higher risks of malignant melanoma (HR, 1.27; 95% CI, 1.16-1.40) and prostate cancer (HR, 1.05; 95% CI, 1.03-1.08). Associations were generally similar between overweight/obese and normal-weight individuals. Smoking status modified the association for lung cancer but not other smoking-related cancers. CONCLUSIONS AND RELEVANCE: Leisure-time physical activity was associated with lower risks of many cancer types. Health care professionals counseling inactive adults should emphasize that most of these associations were evident regardless of body size or smoking history, supporting broad generalizability of findings.

Indexed as

ExerciseLeisure ActivitiesAdultBody Mass IndexEuropean UnionEvidence-Based MedicineFemaleFollow-Up StudiesHumansIncidenceMaleMeta-Analysis as TopicMiddle AgedNeoplasmsRetrospective StudiesRisk Assessment

Identifiers

PMID27183032
PMCPMC5812009
OpenAlexW2402756356

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.