Evidence map›Paper›PMID 39595750›Full record

ArticleInternational journal of environmental research and public health2024

Redefining Urban Recreation: A Demand Analysis for Urban Year-Round Green Exercise.

Konrad Reuß, Christopher Huth

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Konrad ReußInstitute of Sports Science, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.ORCID 0009-0008-3333-699X
Christopher HuthInstitute of Sports Science, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban green exercise offers substantial physical and mental health benefits, especially in urban environments with limited natural access. This study analyzes the demand for urban year-round green exercise under various meteorological conditions. Using a primary empirical research design, data were collected from 408 active participants in Germany through an online survey. The survey consisted of one questionnaire, with multiple sections including demographics, green exercise, year-round green exercise, and nature-relatedness. Spearman rank correlations and Pearson's correlation were conducted for data analysis, and linear regressions calculated differences between groups. The results indicate a high demand for green exercise, with most participants engaging in endurance-based sports in urban green spaces at least once a week, regardless of weather conditions. However, adverse weather, such as precipitation and extreme cold, significantly reduces the likelihood of green exercise. Furthermore, the study identifies a positive correlation between participants' connection to nature and their likelihood of engaging in green exercise under different weather conditions. The findings suggest that urban year-round green exercise could be a viable public health intervention, accessible to a broad demographic, with the potential to improve overall well-being. However, further research is needed to explore the barriers to green exercise in adverse weather and to develop strategies to promote year-round green exercise.

Indexed as

CitiesExerciseRecreationWeatherAdolescentAdultAgedFemaleGermanyHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultdemandgreen exercisemeteorological conditionsphysical activityurban green spacesyear-round

Identifiers

PMID39595750
PMCPMC11593587

What OpenQuestion holds

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LicenceCC BY
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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.