Evidence map›Paper›PMID 38671483›Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Longitudinal leisure-time physical activity profiles throughout adulthood and related characteristics: a 36-year follow-up study of the older Finnish Twin Cohort.

Bram J Berntzen, Asko Tolvanen, Urho M Kujala, Karri Silventoinen, Eero Vuoksimaa, Jaakko Kaprio, Sari Aaltonen

Open access · goldAbstract readTwin Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2024. 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
1.3field-weighted citation impact, top 20% 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, 4 citations in OpenAlex.

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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 3 institutions in 1 country.

Bram J BerntzenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014, Helsinki, Finland.
Asko TolvanenMethodology Centre for Human Sciences, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland.
Urho M KujalaFaculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland.
Karri SilventoinenHelsinki Institute for Demography and Population Health, University of Helsinki, P.O. Box 42, FI-00014, Helsinki, Finland.
Eero VuoksimaaInstitute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014, Helsinki, Finland.
Jaakko KaprioInstitute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014, Helsinki, Finland.
Sari AaltonenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014, Helsinki, Finland. sari.s.aaltonen@helsinki.fi.ORCID 0000-0002-2873-4263
Institute for Molecular Medicine Finland · FIUniversity of Jyväskylä · FIUniversity of Helsinki · FI

Funding

Academy of Finland 141054Academy of Finland 263278Academy of Finland 264146Academy of Finland 265240Academy of Finland 308248Academy of Finland 312073Academy of Finland 314639Academy of Finland 336823
6 · The paper itself

Abstract

backgroundPersonalized interventions aiming to increase physical activity in individuals are effective. However, from a public health perspective, it would be important to stimulate physical activity in larger groups of people who share the vulnerability to be physically inactive throughout adulthood. To find these high-risk groups, we identified 36-year leisure-time physical activity profiles from young adulthood to late midlife in females and males. Moreover, we uncovered which anthropometric-, demographic-, lifestyle-, and health-related characteristics were associated with these physical activity profiles.

methodsWe included 2,778 females and 1,938 males from the population-based older Finnish Twin Cohort Study, who responded to health and behavior surveys at the mean ages of 24, 30, 40 and 60. Latent profile analysis was used to identify longitudinal leisure-time physical activity profiles.

resultsWe found five longitudinal leisure-time physical activity profiles for both females and males. Females' profiles were: 1) Low increasing moderate (29%), 2) Moderate stable (23%), 3) Very low increasing low (20%), 4) Low stable (20%) and 5) High increasing high (9%). Males' profiles were: 1) Low increasing moderate (29%), 2) Low stable very low (26%), 3) Moderate decreasing low (21%), 4) High fluctuating high (17%) and 5) Very low stable (8%). In both females and males, lower leisure-time physical activity profiles were associated with lower education, higher body mass index, smoking, poorer perceived health, higher sedentary time, high blood pressure, and a higher risk for type 2 diabetes. Furthermore, lower leisure-time physical activity was linked to a higher risk of depression in females.

conclusionsWe found several longitudinal leisure-time physical activity profiles with unique changes in both sexes. Fewer profiles in females than in males remained or became low physically active during the 36-year follow-up. We observed that lower education, higher body mass index, and more smoking already in young adulthood were associated with low leisure-time physical activity profiles. However, the fact that several longitudinal profiles demonstrated a change in their physical activity behavior over time implies the potential for public health interventions to improve leisure-time physical activity levels.

Indexed as

Health BehaviorLeisure ActivitiesLife StyleAdultBody Mass IndexCohort StudiesExerciseFemaleFinlandFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedSedentary BehaviorSex FactorsExerciseLatent classesLongitudinalSportsWorking-age individuals

Identifiers

PMID38671483
PMCPMC11046842
OpenAlexW4395684559

What OpenQuestion holds

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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.