Evidence map›Paper›PMID 35443226›Full record

ArticleHealth & place2022

People living in disadvantaged areas faced greater challenges in staying active and using recreational facilities during the COVID-19 pandemic.

Sungmin Lee, Chanam Lee, Minjie Xu, Wei Li, Marcia Ory

Abstract read
In one paragraph

Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Sungmin LeeDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA. Electronic address: Sungminlee@tamu.edu.
Chanam LeeDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA. Electronic address: chanam@tamu.edu.
Minjie XuDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA. Electronic address: mxu@tamu.edu.
Wei LiDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA. Electronic address: wli@tamu.edu.
Marcia OryDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX, 77843, USA; Center for Population Health and Aging, Texas A&M University, College Station, TX, 77843, USA. Electronic address: mory@tamu.edu.

Funding

Fighting Obesity by Reinventing Public Transportation: A Natural ExperimentR01CA228921 · NCI · TEXAS A&M UNIVERSITY · PI LEE, CHANAM, LI, WEI · 2018 to 2022
$2.8M
NCI NIH HHS R01 CA228921
6 · The paper itself

Abstract

This study aimed to understand the perceived effects of the COVID-19 pandemic on physical activity, recreation walking, and use of recreational facilities; and if the COVID-19 pandemic amplified disparities in physical activity, recreational walking, and use of recreational facilities related to the levels of neighborhood disadvantage. Recreational walking and the use of neighborhood streets and green spaces significantly decreased in high deprivation areas but not in low deprivation areas during the pandemic. While COVID-19 has negatively affected overall recreational activities, the inequitable impact on recreational walking and use of outdoor recreational facilities has been more evident in disadvantaged neighborhoods with greater deprivation.

Indexed as

COVID-19RecreationEnvironment DesignHumansPandemicsResidence CharacteristicsWalkingArea deprivationCOVID-19Environmental justicePhysical activityRecreational walking

Identifiers

PMID35443226
PMCPMC9013405

What OpenQuestion holds

Textmetadata
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.