Evidence map›Paper›PMID 30303936›Full record

ArticleMedicine and science in sports and exercise2019

Twenty-Year Trajectories of Physical Activity Types from Midlife to Old Age.

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 Medicine and science in sports and exercise, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Physical Activity Trajectories among Persons of Turkish Descent Living in Germany-A Cohort Study.International journal of environmental research and public health · 2020
    Article
  6. Tracking of sport and exercise types from midlife to old age: a 20-year cohort study of British men.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2018
    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

8 authors.

Daniel AggioUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.
Efstathios PapachristouDepartment of Psychology & Human Development, UCL Institute of Education, London, UNITED KINGDOM.
Olia PapacostaUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.
Lucy T LennonUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.
Sarah AshUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.
Peter H WhincupPopulation Health Research Institute, St George's University of London, Cranmer Terrace, London, UNITED KINGDOM.
S Goya WannametheeUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.
Barbara J JefferisUCL Department of Primary Care & Population Health, UCL Medical School, Rowland Hill Street, London, UNITED KINGDOM.

Funding

British 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

purposeCorrelates of physical activity (PA) vary according to type. However, predictors of long-term patterns of PA types into old age are unknown. This study aimed to identify 20-yr trajectories of PA types into old age and their predictors.

methodsSeven thousand seven hundred thirty-five men (age, 40-59 yr) recruited from UK towns in 1978 to 1980 were followed up after 12, 16, and 20 yr. Men reported participation in sport/exercise, recreational activity and walking, health status, lifestyle behaviors and socio-demographic characteristics. Group-based trajectory modeling identified the trajectories of PA types and associations with time-stable and time-varying covariates.

resultsMen with ≥3 measures of sport/exercise (n = 5116), recreational activity (n = 5085) and walking (n = 5106) respectively were included in analyses. Three trajectory groups were identified for sport/exercise, four for recreational activity and three for walking. Poor health, obesity and smoking were associated with reduced odds of following a more favorable trajectory for all PA types. A range of socioeconomic, regional and lifestyle factors were also associated with PA trajectories but the magnitude and direction were specific to PA type. For example, men with manual occupations were less likely to follow a favorable sport/exercise trajectory but more likely to follow an increasing walking trajectory compared to men with nonmanual occupations. Retirement was associated with increased PA but this was largely due to increased sport/exercise participation.

conclusionsPhysical activity trajectories from middle to old age vary by activity type. The predictors of these trajectories and effects of major life events, such as retirement, are also specific to the type of PA.

Indexed as

AgingExerciseHealth StatusAdultAgedHealth BehaviorHumansLeisure ActivitiesLife StyleMaleMiddle AgedProspective StudiesSocioeconomic FactorsSportsUnited KingdomWalking

Identifiers

PMID30303936
PMCPMC6354913

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.