Evidence map›Paper›PMID 38103985›Full record

ArticleJournal of science and medicine in sport2024

Estimating cancers attributable to physical inactivity in Australia.

Louisa Ellis, Roger L Milne, Melissa M Moore, Kieron J Bigby, Craig Sinclair, Darren R Brenner, Steven C Moore, Charles E Matthews, Julie K Bassett, Brigid M Lynch

Abstract read
In one paragraph

Article in Journal of science and medicine in sport, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Louisa EllisCancer Epidemiology Division, Cancer Council Victoria, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia. Electronic address: louisaellis2@gmail.com.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia; Precision Medicine, School of Clinical Sciences, Monash Health, Monash University, Australia. Electronic address: roger.milne@cancervic.org.au.
Melissa M MooreMedical Oncology, St Vincent's Hospital, Australia; Melbourne Medical School, The University of Melbourne, Australia. Electronic address: Melissa.Moore@svha.org.au.
Kieron J BigbyMetro North Health, Queensland Government, Australia. Electronic address: kieron.bigby@health.qld.gov.au.
Craig SinclairPrevention Division, Cancer Council Victoria, Australia. Electronic address: craig.sinclair@cancervic.org.au.
Darren R BrennerDepartment of Oncology, Cumming School of Medicine, University of Calgary, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Canada. Electronic address: darren.brenner@ucalgary.ca.
Steven C MooreMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, USA. Electronic address: steve.moore@nih.gov.
Charles E MatthewsMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, USA. Electronic address: charles.matthews2@nih.gov.
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Australia. Electronic address: julie.bassett@cancervic.org.au.
Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia; Physical Activity Laboratory, Baker Heart and Diabetes Institute, Australia. Electronic address: brigid.lynch@cancervic.org.au.

Funding

Studies of other risk factors for radiosensitive tumorsZIACP010219 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KITAHARA, CARI · 2011 to 2025
$6.0M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

objectivesIt was previously estimated that 1814 (1.6 % of incident cancers) were attributable to physical inactivity in Australia in 2010, when only three sites were considered. We estimated the burden of cancer due to physical inactivity in Australia for 13 sites.

designThe population attributable fraction estimated site-specific cancer cases attributable to physical inactivity for 13 cancers. The potential impact fraction was used to estimate cancers that could have been prevented in 2015 if Australian adults had increased their physical activity by a modest amount in 2004-05.

methodsWe used 2004-05 national physical activity prevalence data, 2015 national cancer incidence data, and contemporary relative-risk estimates for physical inactivity and cancer. We assumed a 10-year latency period.

resultsAn estimated 6361 of the cancers observed in 2015 were attributable to physical inactivity, representing 4.8 % of all cancers diagnosed. If Australian adults had increased their physical activity by one category in 2004-05, 2564 cases (1.9 % of all cancers) could have been prevented in 2015.

conclusionsMore than three times as many cancers are attributable to physical inactivity than previously reported. Physical activity promotion should be a central component of cancer prevention programmes in Australia.

Indexed as

NeoplasmsSedentary BehaviorAdultAustraliaExerciseHumansIncidencePrevalenceRisk FactorsCancerPhysical activityPopulation attributable riskPotential impact fractionPublic health policy

Identifiers

PMID38103985
PMCPMC10939860

What OpenQuestion holds

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Registered trials

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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.