Evidence map›Paper›PMID 35184245›Full record

ArticleCancer causes & control : CCC2022

Physical activity and glioma: a case-control study with follow-up for survival.

Zohreh Basiri, Yi Yang, Fiona J Bruinsma, Anna K Nowak, Kerrie L McDonald, Katharine J Drummond, Mark A Rosenthal, Eng-Siew Koh, Rosemary Harrup, Elizabeth Hovey and 8 more

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

18 authors.

Zohreh BasiriMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Yi YangMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Fiona J BruinsmaMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Anna K NowakMedical School, QEII Medical Centre Unit, University of Western Australia, Nedlands, WA, Australia.
Kerrie L McDonaldPrince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia.
Katharine J DrummondRoyal Melbourne Hospital, Melbourne, VIC, Australia.
Mark A RosenthalRoyal Melbourne Hospital, Melbourne, VIC, Australia.
Eng-Siew KohSouth Western Sydney Clinical School, University of New South Wales, Liverpool, NSW, Australia.
Rosemary HarrupRoyal Hobart Hospital, University of Tasmania, Hobart, TAS, Australia.
Elizabeth HoveyDepartment Medical Oncology Nelune Comprehensive Cancer Centre, Prince of Wales Hospital, University of New South Wales, Sydney, NSW, Australia.
David JosephSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Geza BenkeDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Robyn LeonardBrain Cancer Biobanking Australia, University of Sydney, Sydney, NSW, Australia.
Robert J MacInnisMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Roger L MilneMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Graham G GilesMelbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.
Claire M Vajdic *Centre for Big Data Research in Health, University of NSW, Sydney, NSW, Australia.
Brigid M Lynch *Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia. brigid.lynch@cancervic.org.au.ORCID http://orcid.org/0000-0001-8060-547X

Funding

Cancer Australia 1029874Victorian Cancer Agency MCRF18005
6 · The paper itself

Abstract

purposeHigh-grade disease accounts for ~ 70% of all glioma, and has a high mortality rate. Few modifiable exposures are known to be related to glioma risk or mortality.

methodsWe examined associations between lifetime physical activity and physical activity at different ages (15-18 years, 19-29 years, 30-39 years, last 10 years) with the risk of glioma diagnosis, using data from a hospital-based family case-control study (495 cases; 371 controls). We followed up cases over a median of 25 months to examine whether physical activity was associated with all-cause mortality. Physical activity and potential confounders were assessed by self-administered questionnaire. We examined associations between physical activity (metabolic equivalent [MET]-h/wk) and glioma risk using unconditional logistic regression and with all-cause mortality in cases using Cox regression.

resultsWe noted a reduced risk of glioma for the highest (≥ 47 MET-h/wk) versus lowest (< 24 METh/wk) category of physical activity for lifetime activity (OR = 0.58, 95% CI: 0.38-0.89) and at 15-18 years (OR = 0.57, 95% CI: 0.39-0.83). We did not observe any association between physical activity and all-cause mortality (HR for lifetime physical activity = 0.91, 95% CI: 0.64-1.29).

conclusionOur findings are consistent with previous research that suggested physical activity during adolescence might be protective against glioma. Engaging in physical activity during adolescence has many health benefits; this health behavior may also offer protection against glioma.

Indexed as

ExerciseGliomaAdolescentCase-Control StudiesFollow-Up StudiesHumansRisk FactorsCase–control studyGliomaPhysical activitySurvival

Identifiers

PMID35184245
PMCPMC9010385

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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.