Evidence map›Paper›PMID 30546481›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2018

Tracking of sport and exercise types from midlife to old age: a 20-year cohort study of British men.

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

Open access · goldAbstract read
In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2018. 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
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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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

7 authors at 4 institutions in 1 country.

Daniel Aggio1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Olia Papacosta1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Lucy T Lennon1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Sarah Ash1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Peter H Whincup3Population Health Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE UK.
S Goya Wannamethee1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Barbara J Jefferis1UCL Department of Primary Care & Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF UK.
Roland Hill (United Kingdom) · GBThe Royal Free Hospital · GBUniversity College London · GBSt George's, University of London · GB

Funding

HYPOPHARYNX, METABOLISM, AND BREATHING DURING SLEEPK08HL001316 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI WHITE, DAVID P. · 1985 to 1988
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British Heart Foundation PG/09/024/26857British Heart Foundation PG/13/86/30546British Heart Foundation RG/13/16/30528
6 · The paper itself

Abstract

backgroundPrevious physical activity (PA) tracking studies have examined the stability of overall PA and/or PA types, but few have investigated how specific types of sport/exercise track over the life course. The aim of this study was to determine how specific sports/exercises in midlife track and predict future sport/exercise and PA in men transitioning to old age.

methodsSeven thousand seven hundred thirty-five men (aged 40-59 years) recruited in 1978-80 were followed up after 12, 16 and 20 years. At each wave men self-reported participation in sport/exercise. Frequent sport/exercise participants (> 1/month) reported the types of sport/exercise they engaged in. Men also reported total PA, health status, lifestyle behaviours and socio-demographic characteristics. Stability of each sport/exercise was assessed using kappa statistics and intraclass correlation coefficients. Logistic regression estimated the odds of participating in sport/exercise and being active at 20-year follow up according to specific types of sport/exercise in midlife.

resultsThree thousand three hundred eighty-four men with complete data at all waves were included in analyses. Tracking of specific sports/exercises ranged from fair to substantial, with golf being the most common and most stable. Bowls was the most frequently adopted. Odds of participating in sport/exercise and being active in old age varied according to sport/exercise types in midlife. Golf and bowls in midlife were the strongest predictors of sport/exercise participation in old age. Golf, cricket and running/jogging in midlife were among the strongest predictors of being active in old age. Compared to participating in just one sport/exercise in midlife, sampling multiple sports/exercises was more strongly associated with sport/exercise participation and being active in old age.

conclusionThe stability of sport/exercise participation from midlife to old age varies by type. Specific sports/exercises in midlife may be more likely to predict future PA than others. However, participating in a range of sports/exercises may be optimal for preserving PA into old age.

Indexed as

AgingLongitudinalPhysical activityStability

Identifiers

PMID30546481
PMCPMC6284285
OpenAlexW2903981424

What OpenQuestion holds

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LicenceCC BY
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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.