Evidence map›Paper›PMID 37590096›Full record

ArticleStatistical methods in medical research2023

Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology.

Paulína Jašková, Javier Palarea-Albaladejo, Aleš Gába, Dorothea Dumuid, Željko Pedišić, Jana Pelclová, Karel Hron

Open access · greenAbstract read
In one paragraph

Article in Statistical methods in medical research, 2023. 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
1.2field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 4 institutions in 3 countries.

Paulína JaškováFaculty of Science, Palacký University Olomouc, Olomoucký, Czech Republic.ORCID 0000-0002-3961-753X
Javier Palarea-AlbaladejoDepartment of Computer Science, Applied Mathematics and Statistics, University of Girona, Catalunya, Spain.ORCID 0000-0003-0162-669X
Aleš GábaFaculty of Physical Culture, Palacký University Olomouc, Olomoucký, Czech Republic.ORCID 0000-0002-7236-9072
Dorothea DumuidAlliance for Research in Exercice, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia.ORCID 0000-0003-3057-0963
Željko PedišićInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Jana PelclováFaculty of Physical Culture, Palacký University Olomouc, Olomoucký, Czech Republic.
Karel HronFaculty of Science, Palacký University Olomouc, Olomoucký, Czech Republic.
Palacký University Olomouc · CZUniversitat de Girona · ESUniversity of South Australia · AUVictoria University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of time that people spend in physical activity of various intensities has important health implications. Physical activity (commonly categorised by the intensity into light, moderate and vigorous physical activity), sedentary behaviour and sleep, should not be analysed separately, because they are parts of a time-use composition with a natural constraint of

Indexed as

AdiposityExerciseObesityBayes TheoremChildCross-Sectional StudiesHumansTime FactorsCompositional scalar-on-function regressionisotemporal substitutionphysical activityprobability density functionssedentary behavioursleep

Identifiers

PMID37590096
PMCPMC10563378
OpenAlexW4385955256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.