Evidence map›Paper›PMID 29180005›Full record

ArticleAtherosclerosis2018

Leisure-time physical activity across adulthood and biomarkers of cardiovascular disease at age 60-64: A prospective cohort study.

Ahmed Elhakeem, Emily T Murray, Rachel Cooper, Diana Kuh, Peter Whincup, Rebecca Hardy

Abstract readComparative Study
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Outline: The Long-Term Impact of Exercise on Adolescent Growth and Development.Advances in experimental medicine and biology · 2026
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  9. Twelve year trajectories of physical activity and health costs in mid-age Australian women.The international journal of behavioral nutrition and physical activity · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ahmed ElhakeemMRC Unit for Lifelong Health and Ageing at UCL, London, UK; Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Electronic address: a.elhakeem@bristol.ac.uk.
Emily T MurrayDepartment of Epidemiology and Public Health, University College London, London, UK.
Rachel CooperMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, London, UK.
Peter WhincupPopulation Health Research Institute, St George's University of London, London, UK.
Rebecca HardyMRC Unit for Lifelong Health and Ageing at UCL, London, UK.

Funding

Medical Research Council G1001143Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2Medical Research Council MC_UU_12019/4
6 · The paper itself

Abstract

BACKGROUND AND

aimsThis study examined associations between leisure-time physical activity (LTPA) across adulthood (from age 36) and cardiovascular disease (CVD) biomarkers at age 60-64.

methodsLTPA was reported by study participants from the MRC National Survey of Health and Development at ages 36, 43, 53 and 60-64 (n = 1754) and categorised as inactive, moderately active (1-4/month) or most active (5+/month) at each age. Linear regression was used to examine associations between a cumulative adulthood LTPA score (range = 0-8), and change in LTPA between ages 36 and 60-64 (i.e. always inactive, became inactive, became active, always active) and inflammatory [C-reactive protein (CRP), interleukin-6 (IL-6)], endothelial [tissue-Plasminogen Activator (t-PA), E-selectin] and adipokine [leptin, adiponectin] measures extracted from overnight fasting blood samples at age 60-64.

resultsThe more active a participant was over adulthood, the better their biomarker profile, e.g. fully-adjusted difference in t-PA (both sexes) and adiponectin (women) per unit increase in the LTPA score (95% confidence interval) = -2.2% (-3.6; -0.8) and 2.0% (0.2; 3.8). Those that became active at age 60-64 showed slightly healthier biomarker profiles than those that became inactive [e.g. fully-adjusted difference in IL-6 = -9.9% (-23.9; 4.1) vs. -3.8% (-12.4; 4.8)], although the best profiles were seen for those always active [IL-6: -15.0% (-24.2; -5.7)], when compared with the always inactive group.

conclusionsGreater accumulation of LTPA across adulthood was associated with a more favourable CVD biomarker profile in early old age. Earlier uptake and long-term maintenance of LTPA may provide the greatest benefits for CVD prevention.

Indexed as

ExerciseHealthy LifestyleLeisure ActivitiesRisk Reduction BehaviorAdipokinesAdultBiomarkersCardiovascular DiseasesFemaleHumansInflammation MediatorsLongitudinal StudiesMaleMiddle AgedProspective StudiesProtective FactorsAdipokinesBiomarkersInflammation MediatorsAtherosclerosisBiomarkersCardiovascular diseaseExercisePhysical activity

Identifiers

PMID29180005
PMCPMC5825380

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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.