Evidence map›Paper›PMID 31200940›Full record

ArticleAtherosclerosis2019

Associations of physical activity and sedentary time with lipoprotein subclasses in Norwegian schoolchildren: The Active Smarter Kids (ASK) study.

Paul Remy Jones, Tarja Rajalahti, Geir Kåre Resaland, Eivind Aadland, Jostein Steene-Johannessen, Sigmund Alfred Anderssen, Tone Frost Bathen, Trygve Andreassen, Olav Martin Kvalheim, Ulf Ekelund

Abstract read
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In one paragraph

Article in Atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Paul Remy JonesDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: paul.jones@nih.no.
Tarja RajalahtiDepartment of Chemistry, University of Bergen, Bergen, Norway; Førde Health Trust, Førde, Norway. Electronic address: tarja.rajalahti@uib.no.
Geir Kåre ResalandDepartment of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway; Center for Health Research, Førde Central Hospital, Førde, Norway. Electronic address: geir.kare.resaland@hvl.no.
Eivind AadlandDepartment of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway. Electronic address: eivind.aadland@hvl.no.
Jostein Steene-JohannessenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: jostein.steene-johannessen@nih.no.
Sigmund Alfred AnderssenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway; Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway. Electronic address: s.a.anderssen@nih.no.
Tone Frost BathenDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Electronic address: tone.f.bathen@ntnu.no.
Trygve AndreassenDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Electronic address: trygve.andreassen@ntnu.no.
Olav Martin KvalheimDepartment of Chemistry, University of Bergen, Bergen, Norway. Electronic address: olav.kvalheim@uib.no.
Ulf EkelundDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: ulf.ekelund@nih.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsPhysical activity is favourably associated with certain markers of lipid metabolism. The relationship of physical activity with lipoprotein particle profiles in children is not known. Here we examine cross-sectional associations between objectively measured physical activity and sedentary time with serum markers of lipoprotein metabolism.

methodsOur cohort included 880 children (49.0% girls, mean age 10.2 years). Physical activity intensity and time spent sedentary were measured objectively using accelerometers. 30 measures of lipoprotein metabolism were quantified using nuclear magnetic resonance spectroscopy. Multiple linear regression models adjusted for age, sex, sexual maturity and socioeconomic status were used to determine associations of physical activity and sedentary time with lipoprotein measures. Additional models were adjusted for adiposity. Isotemporal substitution models quantified theoretical associations of replacing 30 min of sedentary time with 30 min of moderate- to vigorous-intensity physical activity (MVPA).

resultsTime spent in MVPA was associated with a favourable lipoprotein profile independent of sedentary time. There were inverse associations with a number of lipoprotein measures, including most apolipoprotein B-containing lipoprotein subclasses and triglyceride measures, the ratio of total to high-density lipoprotein (HDL) cholesterol, and non-HDL cholesterol concentration. There were positive associations with larger HDL subclasses, HDL cholesterol concentration and particle size. Reallocating 30 min of sedentary time to MVPA had broadly similar associations. Sedentary time was only partly and weakly associated with an unfavourable lipoprotein profile.

conclusionsPhysical activity of at least moderate-intensity is associated with a favourable lipoprotein profile in schoolchildren, independent of time spent sedentary, adiposity and other confounders.

Indexed as

ExerciseHealthy LifestyleSedentary BehaviorAge FactorsBiomarkersChildChild DevelopmentCross-Sectional StudiesFemaleHealth StatusHumansLipoproteinsMaleNorwayRandomized Controlled Trials as TopicRisk FactorsBiomarkersLipoproteinsAdiposityEpidemiologyLipidomicsLipoprotein subclassesPaediatricsPhysical activitySedentary time

Identifiers

PMID31200940

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.