Evidence map›Paper›PMID 30124747›Full record

ArticleAmerican journal of epidemiology2018

Association Between 20-Year Trajectories of Nonoccupational Physical Activity From Midlife to Old Age and Biomarkers of Cardiovascular Disease: A 20-Year Longitudinal Study of British Men.

Daniel Aggio, Efstathios Papachristou, Olia Papacosta, Lucy T Lennon, Sarah Ash, Peter H Whincup, S Goya Wannamethee, Barbara J Jefferis

Abstract read
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Physical Activity Trajectories among Persons of Turkish Descent Living in Germany-A Cohort Study.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. 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

8 authors.

Daniel AggioDepartment of Primary Care and Population Health, University College London, London, United Kingdom.
Efstathios PapachristouDepartment of Psychology and Human Development, University College London, London, United Kingdom.
Olia PapacostaDepartment of Primary Care and Population Health, University College London, London, United Kingdom.
Lucy T LennonDepartment of Primary Care and Population Health, University College London, London, United Kingdom.
Sarah AshDepartment of Primary Care and Population Health, University College London, London, United Kingdom.
Peter H WhincupPopulation Health Research Institute, St George's University of London, London, United Kingdom.
S Goya WannametheeDepartment of Primary Care and Population Health, University College London, London, United Kingdom.
Barbara J JefferisDepartment of Primary Care and Population Health, University College London, London, United Kingdom.

Funding

British Heart Foundation FS/15/70/32044British Heart Foundation PG/09/024/26857British Heart Foundation PG/13/86/30546British Heart Foundation RG/13/16/30528Department of Health PDF-2010-03-23
6 · The paper itself

Abstract

The trajectories of physical activity (PA) from midlife into old age and their associations with established and novel cardiovascular disease (CVD) risk factors in later life remain unclear. This study examined associations between 20-year nonoccupational PA trajectories and a range of CVD biomarkers at ages 60-79 years. We used data from a sample of 3,331 men (mean baseline age = 50.2 ± 5.8 years) recruited in 1978-1980, with follow-up after 12, 16, and 20 years, reporting habitual nonoccupational PA at each wave. At the 20-year follow-up, surviving men attended a physical examination and provided a fasting blood sample. Group-based trajectory modeling was used to identify trajectories. Adjusted regression analyses examined the association between trajectory-group membership and several cardiometabolic, cardiac, and inflammatory markers at follow-up. Three distinct 20-year trajectories were identified: low/decreasing (21.3%), light/stable (51.8%), and moderate/increasing (27.0%). Compared with the low/decreasing group, membership in the light/stable and moderate/increasing trajectory groups was associated with a more favorable cardiometabolic profile and lower levels of inflammation and endothelial dysfunction. Although following a moderate-increasing PA trajectory was most favorable, more modest but sustained doses of PA into old age may be sufficient to lower CVD risk.

Indexed as

AdultAgedAgingBiomarkersBlood GlucoseBlood PressureBody Weights and MeasuresCardiovascular DiseasesExerciseHealth BehaviorHumansInflammation MediatorsLipidsLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseInflammation MediatorsLipids

Identifiers

PMID30124747
PMCPMC6211233

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.