Evidence map›Paper›PMID 39180351›Full record

ArticleHealth promotion international2024

A systematic observation of moderate-to-vigorous physical activity levels in Australian natural blue space locations.

Rhiannon Lee White, Nicole Taylor, Dean Dudley, Wayne Cotton, Louisa Peralta, Carmen Young, And Tatiana Nguyen

Abstract read
In one paragraph

Article in Health promotion international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rhiannon Lee WhiteHealth and Physical Education, School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, New South Wales 2751, Australia.ORCID 0000-0002-5118-6226
Nicole TaylorHealth and Physical Education, School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, New South Wales 2751, Australia.
Dean DudleyFaculty of Arts, Macquarie School of Education, Macquarie University, Wallumattagal Campus, Macquarie Park, New South Wales 2109, Australia.ORCID 0000-0001-5140-9533
Wayne CottonSydney School of Education and Social Work, The University of Sydney, New South Wales 2006, Australia.
Louisa PeraltaSydney School of Education and Social Work, The University of Sydney, New South Wales 2006, Australia.ORCID 0000-0002-6205-8676
Carmen YoungHealth and Physical Education, School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, New South Wales 2751, Australia.
And Tatiana NguyenHealth and Physical Education, School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, New South Wales 2751, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has shown that blue space (i.e. water-based environments) can be good for physical and mental health, with one possible reason being that people are physically active when visiting blue space environments. However, little is known about how active people are when visiting blue space. We used the System for Observing Physical Activity and Recreation in Natural Areas to systematically record whether people were active while visiting eight different blue space locations in Australia. We first calculated the proportion of people who were moderately or vigorously active at each location and then conducted a series of linear regression models to determine which demographic and environmental factors predicted higher activity levels. We identified that 44% of people visiting blue space locations were active. However, there were significant interactions between both age and gender, and type of blue space. Males (β = -0.25, p = 0.018) and females (β = -0.26, p ≤ 0.001) were less active at built-up riverfronts than coastal beaches. Females were also less active at inland beaches (β = -0.15, p = 0.013) and watering holes (β = -0.20, p = 0.011) compared with coastal beaches. Children (β = 0.16, p = 0.006) and adolescents, however, were more active at inland beaches (β = 0.32, p ≤ 0.001) than coastal beaches. These results are important to consider when making decisions around access to, and infrastructure within, blue space environments, as different blue space environments influence human behaviour differently for different people.

Indexed as

ExerciseAdolescentAdultAgedAge FactorsAustraliaBathing BeachesChildEnvironment DesignFemaleHumansMaleMiddle AgedRecreationSex FactorsYoung Adult

Identifiers

PMID39180351
PMCPMC11344178

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.