Evidence map›Paper›PMID 42616766›Full record

ArticlePloS one2026

Correlates of physical activity behaviour in a population sample with increased cardiovascular risk and established cardiovascular disease: Cross-sectional analysis of data from the Paracelsus 10,000 prospective cohort study in Salzburg, Austria.

Stefan T Kulnik, Anna E Carrozzo, Devender Kumar, Melanie Roth, Jens Blechert, Rik Crutzen, Patrick Langthaler, Martin Pühringer, Ludmilla Kedenko, Arne C Bathke and 3 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Stefan T KulnikSalzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.ORCID https://orcid.org/0000-0001-5419-6713
Anna E CarrozzoSalzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.ORCID https://orcid.org/0000-0003-2416-8986
Devender KumarLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Melanie RothDepartment Health Sciences, Salzburg University of Applied Sciences, Puch/Salzburg, Austria.ORCID https://orcid.org/0000-0002-8409-4512
Jens BlechertDepartment of Psychology, Paris Lodron University of Salzburg, Salzburg, Austria.
Rik CrutzenLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Patrick LangthalerDepartment of Neurology, Christian Doppler University Hospital, Paracelsus Medical Private University and Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Salzburg, Austria.
Martin PühringerDepartment of Sport and Exercise Science, Paris Lodron University of Salzburg, Salzburg, Austria.ORCID https://orcid.org/0000-0002-8139-5213
Ludmilla KedenkoDepartment of Internal Medicine I, University Hospital Salzburg (SALK), Paracelsus Medical Private University, Salzburg, Austria.
Arne C BathkeDepartment of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Salzburg, Austria.
Bernhard IglsederDepartment of Geriatric Medicine, Christian Doppler University Hospital, Paracelsus Medical Private University, Salzburg, Austria.
Bernhard PaulweberDepartment of Internal Medicine I, University Hospital Salzburg (SALK), Paracelsus Medical Private University, Salzburg, Austria.
Eugen TrinkaDepartment of Neurology, Christian Doppler University Hospital, Paracelsus Medical Private University and Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular physical activity (PA) remains challenging for many people with high cardiovascular risk and established cardiovascular disease (CVD). We aimed to study correlates of PA behaviour in a population sample with increased cardiovascular risk and established CVD in Austria. We analysed cross-sectional data from the Paracelsus 10,000 study, a population-based cohort study of 40-70-year-olds in the city of Salzburg, Austria, and its surroundings. In a sub-sample of participants with increased cardiovascular risk and established CVD, we examined the associations between 29 correlates and leisure-time PA (weekly hours of walking, cycling and doing sports) as the primary PA outcome, as well as four secondary PA outcomes. We used stepwise multiple regression and machine learning models (decision trees, support vector machines, k-nearest neighbours, random forest and gradient boosting) to examine these associations. We analysed data from 1,173 participants with mean age 60.5 years (range 42-72 years). Nineteen percent of participants were female. Across the different PA outcomes and statistical analysis models, retirement, more PA during earlier life decades, and adherence to a Mediterranean diet were positively associated with PA behaviour. Greater comorbidity and depression were inversely associated with PA. In stepwise multiple regression, adjusted effect estimates on the primary PA outcome were 1.5 (SE 0.7, p = 0.0310) for retirement, 4.1 (SE 3.1, p < 0.0001) for past PA behaviour, 0.5 (SE 0.2, p = 0.0027) for Mediterranean diet, and -0.2 (SE 0.1, p = 0.0180) for depression. These findings contribute to a better understanding of the correlates of PA behaviour in populations at increased cardiovascular risk and with established CVD and may inform approaches for selective and personalised PA promotion strategies in cardiovascular care.

Indexed as

Cardiovascular DiseasesExerciseAdultAgedAustriaCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedProspective StudiesRisk Factors

Identifiers

PMID42616766
PMCPMC13489455

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.