Evidence map›Paper›PMID 36999303›Full record

ArticleScandinavian journal of medicine & science in sports2023

Association between device-measured stepping behaviors and cardiometabolic health markers in middle-aged women: The Australian Longitudinal Study on Women's Health.

Le Wei, Matthew N Ahmadi, Hsiu-Wen Chan, Sebastien Chastin, Mark Hamer, Gita D Mishra, Emmanuel Stamatakis

Open access · hybridAbstract read
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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.

Le WeiCharles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-8831-9803
Matthew N AhmadiCharles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-3115-338X
Hsiu-Wen ChanSchool of Public Health, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0003-1545-0488
Sebastien ChastinSchool of Health and Life Science, Glasgow Caledonian University, Glasgow, UK.ORCID https://orcid.org/0000-0003-1421-9348
Mark HamerDivision of Surgery and Interventional Science, Institute of Sport Exercise and Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-8726-7992
Gita D MishraSchool of Public Health, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0001-9610-5904
Emmanuel StamatakisCharles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-7323-3225
The University of Sydney · AUThe University of Queensland · AUEnglish Institute of Sport · GBGlasgow Caledonian University · GB

Funding

National Health and Medical Research Council (NHMRC) Project Grant
6 · The paper itself

Abstract

The associations between different types and contexts of stepping behaviors and cardiometabolic (CM) health markers are unclear. This study aimed to examine the associations of daily total, walking, stair, incidental and purposeful steps with cardiometabolic risk. A total of 943 women (mean age ± SD = 44.1 ± 1.6 years) from the Australian Longitudinal Study on Women's Health (ALSWH) were included in this cross-sectional study. Daily total, walking, stair, incidental, and purposeful steps were measured using thigh-worn accelerometry. Outcomes comprised of CM markers of adiposity, blood pressure, resting heart rate, lipids, glycaemia, and the composite CM score. We used generalized linear modeling and multiple linear regression to assess the associations. We observed that all stepping behaviors were beneficial to CM health, for example, compared to the lowest quartile (Q1), the change of the composite CM score across low to high quartile of purposeful steps was -0.12 (Q2, 95% CI: -0.41, 0.17), -0.16 (Q3, -0.46, 0.14), and -0.36 (Q4, -0.66, -0.05). Stair steps showed linear associations with blood pressure and adiposity biomarkers, for example, the change of quartile of waist circumference was -1.45 cm (Q2, -4.35, 1.44), -3.56 cm (Q3, -6.52, -0.60), and -7.08 cm (Q4, -10.31, -3.86). Peak 30-min walking intensity showed independent association with adiposity biomarkers (p linear < 0.001 and p = 0.002 for waist circumference and BMI, respectively). Our study showed that all stepping forms were beneficial to CM health. Higher stair steps and peak 30-min walking cadence were associated with a steep decline of adiposity biomarkers. Purposeful steps showed more consistent associations with CM biomarkers than incidental steps.

Indexed as

Cardiovascular DiseasesWomen's HealthAustraliaBiomarkersCross-Sectional StudiesFemaleHumansLongitudinal StudiesMiddle AgedObesityRisk FactorsBiomarkersaccelerometryepidemiologyintensityphysical activitystairwalking

Identifiers

PMID36999303
PMCPMC10947396
OpenAlexW4362458254

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.