Evidence map›Paper›PMID 38448922›Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Longitudinal changes in device-measured physical activity from childhood to young adulthood: the PANCS follow-up study.

Anders Husøy, E Kolle, J Steene-Johannessen, K E Dalene, L B Andersen, U Ekelund, S A Anderssen

Open access · goldAbstract read
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 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 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.

Anders HusøyDepartment of Sports Medicine, Norwegian School of Sport Sciences, Institutt for idrettsmedisinske fag, Norges idrettshøgskole, Pb 4014 Ullevål Stadion, 0806, Oslo, Norway. andershu@nih.no.ORCID 0009-0000-3028-7370
E KolleDepartment of Sports Medicine, Norwegian School of Sport Sciences, Institutt for idrettsmedisinske fag, Norges idrettshøgskole, Pb 4014 Ullevål Stadion, 0806, Oslo, Norway.
J Steene-JohannessenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Institutt for idrettsmedisinske fag, Norges idrettshøgskole, Pb 4014 Ullevål Stadion, 0806, Oslo, Norway.
K E DaleneDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
L B AndersenDepartment of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway.
U EkelundDepartment of Sports Medicine, Norwegian School of Sport Sciences, Institutt for idrettsmedisinske fag, Norges idrettshøgskole, Pb 4014 Ullevål Stadion, 0806, Oslo, Norway.
S A AnderssenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Institutt for idrettsmedisinske fag, Norges idrettshøgskole, Pb 4014 Ullevål Stadion, 0806, Oslo, Norway.
Norwegian School of Sport Sciences · NONorwegian Institute of Public Health · NOWestern Norway University of Applied Sciences · NO

Funding

Norges Forskningsråd #249932
6 · The paper itself

Abstract

backgroundThere is a lack of longitudinal studies examining changes in device-measured physical activity and sedentary time from childhood to young adulthood. We aimed to assess changes in device-measured physical activity and sedentary time from childhood, through adolescence, into young adulthood in a Norwegian sample of ostensibly healthy men and women.

methodsA longitudinal cohort of 731 Norwegian boys and girls (49% girls) participated at age 9 years (2005-2006) and 15 years (2011-2012), and 258 of these participated again at age 24 years (2019-2021; including the COVID-19 pandemic period). Physical activity and sedentary time were measured using ActiGraph accelerometers. Linear mixed models were used to analyse changes in physical activity and sedentary time and whether low levels of childhood physical activity track, i.e., persist into young adulthood (n

resultsThe most prominent change occurred between the ages of 9 to 15 years, with an increase in sedentary time (150 min/day) and less time spent in light (125 min/day), moderate (16 min/day), and vigorous physical activity (8 min/day). Only smaller changes were observed between the ages of 15 and 24 years. Changes in moderate-to-vigorous physical activity from childhood to young adulthood differed between subgroups of sex, tertiles of body mass index at baseline and tertiles of peak oxygen uptake at baseline. While the tracking models indicated low absolute stability of physical activity from childhood to young adulthood, children in the lowest quartiles of moderate-to-vigorous (OR:1.88; 95%CI: 1.23, 2.86) and total physical activity (OR: 1.87; 95%CI: 1.21, 2.87) at age 9 years were almost 90% more likely to be in these quartiles at age 24 years compared to those belonging to the upper three quartiles at baseline.

conclusionsWe found a substantial reduction in physical activity and increase in time spent sedentary between age 9 and 15 years. Contrary to previous studies, using mainly self-reported physical activity, little change was observed between adolescence and young adulthood. The least active children were more likely to remain the least active adults and could be targeted for early intervention.

Indexed as

COVID-19PandemicsAdolescentAdultBody Mass IndexChildExerciseFemaleFollow-Up StudiesHumansInfant, NewbornMaleYoung AdultAccelerometersAdolescenceChildhoodPhysical activityYoung adulthood

Identifiers

PMID38448922
PMCPMC10916240
OpenAlexW4392507702

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.