Evidence map›Paper›PMID 34193150›Full record

Observational studyThe international journal of behavioral nutrition and physical activity2021

Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time.

Tuula Aira, Tommi Vasankari, Olli Juhani Heinonen, Raija Korpelainen, Jimi Kotkajuuri, Jari Parkkari, Kai Savonen, Arja Uusitalo, Maarit Valtonen, Jari Villberg and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The international journal of behavioral nutrition and physical activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 74 citations in OpenAlex.

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  4. Adolescence risk factors for meniscus and ligamentous knee injuries in adulthood: A longitudinal study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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

12 authors at 7 institutions in 1 country.

Tuula AiraFaculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, FI-40014, Jyväskylä, Finland. tuula.m.aira@jyu.fi.
Tommi VasankariUKK Institute of Health Promotion Research, Kaupinpuistonkatu 1, FI-33500, Tampere, Finland.
Olli Juhani HeinonenPaavo Nurmi Centre & Unit for Health and Physical Activity, University of Turku, Kiinamyllykatu 10, FI-20520, Turku, Finland.
Raija KorpelainenMedical Research Center (MRC), University of Oulu and University Hospital of Oulu, Oulu, Finland.
Jimi KotkajuuriDepartment of Mathematics and Statistics, University of Jyväskylä, P.O. Box 35, Jyväskylä, Finland.
Jari ParkkariTampere Research Center of Sports Medicine, Kaupinpuistonkatu 1, FI-33500, Tampere, Finland.
Kai SavonenDepartment of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.
Arja UusitaloClinic for Sports and Exercise Medicine, Foundation for Sports and Exercise Medicine, Alppikatu 2, FI-00530, Helsinki, Finland.
Maarit ValtonenResearch Center for Olympic Sports, Rautpohjankatu 6, FI-40700, Jyväskylä, Finland.
Jari VillbergFaculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, FI-40014, Jyväskylä, Finland.
Henri Vähä-YpyäUKK Institute of Health Promotion Research, Kaupinpuistonkatu 1, FI-33500, Tampere, Finland.
Sami Petteri KokkoFaculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, PL 35, FI-40014, Jyväskylä, Finland.
University of Jyväskylä · FIUrho Kaleva Kekkonen Institute · FIKuopio University Hospital · FIResearch Institute for Olympic Sports · FIUniversity of Helsinki · FIUniversity of Oulu · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLongitudinal studies demonstrate an average decline in physical activity (PA) from adolescence to young adulthood. However, while some subgroups of adolescents decrease activity, others increase or maintain high or low activity. Activity domains may differ between subgroups (exhibiting different PA patterns), and they offer valuable information for targeted health promotion. Hence, the aim of this study was to identify PA patterns from adolescence to young adulthood; also to explore the associations of (i) changes in PA domains and in sedentary time, (ii) sociodemographic factors, and (iii) self-rated health with diverging PA patterns.

methodsThe observational cohort study data encompassed 254 adolescents at age 15 and age 19. K-means cluster analysis for longitudinal data was performed to identify participant clusters (patterns) based on their accelerometry-measured moderate-to-vigorous PA (MVPA). Logistic regressions were applied in further analysis.

resultsFive PA patterns were identified: inactivity maintainers (n = 71), activity maintainers (n = 70), decreasers from moderate (to low) PA (n = 61), decreasers from high (to moderate) PA (n = 32), and increasers (n = 20). At age 15, participation in sports clubs (SC, 41-97%) and active commuting (AC, 47-75%) was common in all the patterns. By age 19, clear dropout from these activities was prevalent (SC participation mean 32%, AC 31-63%). Inactivity maintainers reported the lowest amount of weekly school physical education. Dropout from SC - in contrast to non-participation in SC - was associated with higher odds of being a decreaser from high PA, and with lower odds of being an inactivity maintainer. Maintained SC participation was associated with higher odds of belonging to the decreasers from high PA, and to the combined group of activity maintainers and increasers; also with lower odds of being an inactivity maintainer. Maintenance/adoption of AC was associated with decreased odds of being an inactivity maintainer. Self-reported health at age 19 was associated with the patterns of maintained activity and inactivity.

conclusionsPA patterns diverge over the transition to adulthood. Changes in SC participation and AC show different associations with diverging PA patterns. Hence, tailored PA promotion is recommended.

Indexed as

Sedentary BehaviorSportsAccelerometryAdolescentAdultExerciseHumansSelf ReportYoung AdultAccelerometerAdolescenceLongitudinal studiesPhysical activitySedentary behaviourSportsYoung adults

Identifiers

PMID34193150
PMCPMC8246658
OpenAlexW3173218395

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.