Evidence map›Paper›PMID 37771559›Full record

ArticleJournal of healthy eating and active living2021

Changes in Urban Walking Before and During the COVID-19 Pandemic in a Metropolitan City of South Korea.

Dong Ha Kim, Seunghyun Yoo

Abstract read
In one paragraph

Article in Journal of healthy eating and active living, 2021. 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
–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

2 citing papers in PubMed.

  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

2 authors.

Dong Ha KimInstitute of Health and Environment, Seoul National University, South Korea.ORCID https://orcid.org/0000-0003-0444-0479
Seunghyun YooInstitute of Health and Environment, Seoul National University, South Korea.ORCID https://orcid.org/0000-0002-6719-7632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess how social distancing measures impacted the choice of walking as a transportation mode, environmental preferences for walking, and walking practice among urban residents in Seoul, the capital city of South Korea. Data was collected through an online survey from September 21 to 28, 2020, when the second level of social distancing measures was implemented; 2,112 participants aged 19 years or older were included in the analysis. During the coronavirus disease 2019 (COVID-19) pandemic, the choice of walking as a means of transportation increased by 10.1 percent points, while that of public transportation decreased by 16.9 percent points. Environmental preferences for walking were more than moderate in neighborhood public open spaces, neighborhood streets, and riverside trails. Despite the increased choice of walking as a means of transportation during the COVID-19 pandemic, walking practices by purpose decreased significantly. In particular, the decrease in walking practice was more pronounced in utilitarian purpose than in leisure purpose. The present study suggests that social distancing measures have an overall effect on environmental preferences, travel attitudes, and behaviors related walking among urban residents in the metropolitan city. To break the physical inactivity habits established during the pandemic, guidelines for promoting walking should be developed, with a focus on increasing the frequency of walking practice. In the post-COVID-19 era, urban and transportation planning in metropolitan cities need to adjust their focus on the development of neighborhood assets related to walking as a health promotion strategy for the upcoming pandemic.

Indexed as

Active livingHealth promotionPandemicPhysical activitySocial distancing

Identifiers

PMID37771559
PMCPMC10522007

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.