Evidence map›Paper›PMID 38478050›Full record

SynthesisDiabetologia2024

Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose-response associations from the Prospective Physical Activity, Sitting and Sleep Consortium.

Matthew N Ahmadi, Joanna M Blodgett, Andrew J Atkin, Hsiu-Wen Chan, Borja Del Pozo Cruz, Kristin Suorsa, Esmee A Bakker, Richard M Pulsford, Gregore I Mielke, Peter J Johansson and 15 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
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  15. Review
  16. Cohort Profile: The Nijmegen Exercise Study (NES).International journal of epidemiology · 2025
    Article
  17. Observational
  18. Article
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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

25 authors.

Matthew N AhmadiMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. matthew.ahmadi@sydney.edu.au.
Joanna M BlodgettInstitute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK.
Andrew J AtkinSchool of Health Sciences and Norwich Epidemiology Centre, University of East Anglia, Norwich, UK.
Hsiu-Wen ChanSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Borja Del Pozo CruzDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Kristin SuorsaDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Esmee A BakkerDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands.
Richard M PulsfordFaculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Gregore I MielkeSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Peter J JohanssonOccupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Pasan HettiarachchiOccupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Dick H J ThijssenDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands.
Sari StenholmDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Gita D MishraSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Armando Teixeira-PinotSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Vegar RangulHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Lauren B SherarSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Ulf EkelundDepartment of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Alun D HughesMRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, UCL, London, UK.
I-Min LeeDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
ProPASS collaboration
Andreas HoltermannNational Research Centre for the Working Environment, Copenhagen, Denmark.
Annemarie KosterDepartment of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.
Mark HamerInstitute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK.
Emmanuel StamatakisMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.

Funding

British Heart Foundation SP/F/20/150002
6 · The paper itself

Abstract

aims/hypothesisThe aim of this study was to examine the dose-response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health.

methodsWe conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA

resultsWe observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] -0.14 [-0.25, -0.02]) and 5 min/day stair climbing (-0.14 [-0.24, -0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose-response associations for any activity type or standing. There was an inverse dose-response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose-response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. CONCLUSIONS/

interpretationIn this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification.

Indexed as

ExercisePostureSitting PositionWalkingAccelerometryAdultAgedBiomarkersBody Mass IndexCardiovascular DiseasesCholesterol, HDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedBiomarkersCholesterol, HDLTriglyceridesCardiometabolic healthIndividual participant meta-analysisPhysical activity typePostureRunningSittingStair climbingStandingWalkingWearables

Identifiers

PMID38478050
PMCPMC11058050

What Socratic 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 Socratic graph.