Evidence map›Paper›PMID 30717763›Full record

ArticleThe international journal of behavioral nutrition and physical activity2019

Tracking of voluntary exercise behaviour over the lifespan.

Matthijs D van der Zee, Denise van der Mee, Meike Bartels, Eco J C de Geus

Abstract readTwin Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior.The international journal of behavioral nutrition and physical activity · 2024
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  20. Factors Associated With the Intention to Begin Physical Activity Among Inactive Middle-Aged and Older Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2022
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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

4 authors.

Matthijs D van der ZeeDepartment of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, The Netherlands, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands. m.d.vander.zee@vu.nl.ORCID 0000-0003-4076-9167
Denise van der MeeDepartment of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, The Netherlands, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
Meike BartelsDepartment of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, The Netherlands, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
Eco J C de GeusDepartment of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, The Netherlands, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.

Funding

Determinants of Adolescent Exercise Behavior; towards Evidence-Based InterventionR01DK092127 · NIDDK · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUDZIAK, JAMES J. · 2010 to 2014
$2.2M
EPA EP-C-15-001European Research Council 230374European Research Council 284167NIDDK NIH HHS R01 DK092127
6 · The paper itself

Abstract

backgroundThe aim of many physical activity interventions is to develop life-long habits of regular exercise and sports activities in leisure time. Previous studies that assessed tracking (i.e. the stability of a trait over the lifespan) of leisure time exercise behaviour across various parts of the life span have treated it as a uniform construct by summing all types of leisure time exercise activities into a single summary score for the total volume of exercise. This study provides new insight by additionally determining tracking across leisure time exercise activities in six different domains: (1) team-based versus solitary activities, (2) competitive versus non-competitive activities, and (3) externally paced versus internally paced activities. We also assessed which of the domains of exercise activities best predicted total volume of exercise at follow-up.

methodsA large dataset (N = 43,889) from the Netherlands Twin Register (NTR) was used to analyse the tracking of exercise behaviour over time. Using this dataset, we were able to examine tracking as a function of baseline age (8 to 80 years) and tracking duration (2 to 22-year follow-up), taking into account sex differences, using generalized estimating equations.

resultsTwo-year tracking coefficients are moderate to high for total volume of exercise across ages at baseline, ranging from .38 to .77 with a median of .57. Tracking coefficients tend to decrease as the distance to follow-up increases, down to a median of .38 for the 22-year tracking coefficients. The patterns of tracking were largely domain-independent and were largely similar for solitary, competitive, non-competitive, externally and internally paced activities. With the exception of team-based activities, tracking was seen to increase as a function of baseline age. Cross-domain tracking did not favour any specific domain of exercise activity as the best predictor for total volume of exercise behaviour and this was true at all baseline ages.

conclusionWe conclude that exercise behaviour is moderately to highly stable across the life span. In particular in adulthood, where the tracking of exercise mimics that of a classical behavioural trait like personality. This stability reinforces existing evidence that exercise habits are hard to change, but at the same time suggests that successful intervention leading to the adoption of exercise habits will tend to last.

Indexed as

ExerciseHabitsLeisure ActivitiesAdolescentAdultAgedAged, 80 and overAge FactorsAgingChildFemaleHumansLongevityMaleMiddle AgedNetherlandsBehavioural trendsCompetitive exerciseLeisure time physical activityLifespanLongitudinal stabilityTeam exercise

Identifiers

PMID30717763
PMCPMC6360805

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.