Evidence map›Paper›PMID 36001316›Full record

ArticleJAMA network open2022

Association of Leisure Time Physical Activity Types and Risks of All-Cause, Cardiovascular, and Cancer Mortality Among Older Adults.

Eleanor L Watts, Charles E Matthews, Joshua R Freeman, Jessica S Gorzelitz, Hyokyoung G Hong, Linda M Liao, Kathleen M McClain, Pedro F Saint-Maurice, Eric J Shiroma, Steven C Moore

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 pooled it
11.6field-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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 7 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Assessing running stability: a systematic review of methods.BMC sports science, medicine & rehabilitation · 2026
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  8. Effects of a Physical Activity mHealth Intervention (Fit2Thrive) on WCRF/AICR Cancer Prevention Recommendations among Breast Cancer Survivors: A Secondary Data Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  16. Longevity.Clinical medicine & research · 2026
    Review
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  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Eleanor L WattsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Joshua R FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Jessica S GorzelitzDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Hyokyoung G HongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Kathleen M McClainDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Pedro F Saint-MauriceDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Eric J ShiromaLaboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland.
Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USNational Institute on Aging · US

Funding

Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
6 · The paper itself

Abstract

Importance: Higher amounts of physical activity are associated with increased longevity. However, whether different leisure time physical activity types are differentially associated with mortality risk is not established. Objectives: To examine whether participation in equivalent amounts of physical activity (7.5 to <15 metabolic equivalent of task [MET] hours per week) through different activity types is associated with mortality risk and to investigate the shape of the dose-response association. Design, Setting, and Participants: Participants in this cohort were respondents from the National Institutes of Health-AARP Diet and Health Study who completed the follow-up questionnaire between 2004 and 2005. This questionnaire collected data on weekly durations of different types of physical activities. Mortality was ascertained through December 31, 2019. Exposures: MET hours per week spent participating in the following activities: running, cycling, swimming, other aerobic exercise, racquet sports, golf, and walking for exercise. Main Outcomes and Measures: All-cause, cardiovascular, and cancer mortality. Separate multivariable-adjusted Cox proportional hazards regression models were fitted to estimate hazard ratios (HRs) and 95% CIs of mortality for each of the 7 types of leisure time physical activities, as well as the sum of these activities. Results: A total of 272 550 participants (157 415 men [58%]; mean [SD] age at baseline, 70.5 [5.4] years [range, 59-82 years]) provided information on types of leisure time activity, and 118 153 (43%) died during a mean (SD) follow-up of 12.4 (3.9) years. In comparison with those who did not participate in each activity, 7.5 to less than 15 MET hours per week of racquet sports (HR, 0.84; 95% CI, 0.75-0.93) and running (HR, 0.85; 95% CI, 0.78-0.92) were associated with the greatest relative risk reductions for all-cause mortality, followed by walking for exercise (HR, 0.91; 95% CI, 0.89-0.93), other aerobic activity (HR, 0.93; 95% CI, 0.90-0.95), golf (HR, 0.93; 95% CI, 0.90-0.97), swimming (HR, 0.95; 95% CI, 0.92-0.98), and cycling (HR, 0.97; 95% CI, 0.95-0.99). Each activity showed a curvilinear dose-response association with mortality risk; low MET hours per week of physical activity for any given activity type were associated with a large reduction in mortality risk, with diminishing returns for each increment in activity thereafter. Associations were similar for cardiovascular and cancer mortality. Conclusions and Relevance: This cohort study of older individuals found differences between different types of leisure time activities and mortality risk, but there were significant associations between participating in 7.5 to less than 15 MET hours per week of any activity and mortality risk.

Indexed as

Cardiovascular DiseasesNeoplasmsAgedCohort StudiesExerciseHumansLeisure ActivitiesMaleRisk Factors

Identifiers

PMID36001316
PMCPMC9403775
OpenAlexW4292939887

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.