Evidence map›Paper›PMID 38798909›Full record

ArticlePreventive medicine reports2024

Validation of the physical activity neighborhood environment scale using geographic information systems among urban men and women in regional China.

Qing Ye, Zhenzhen Qin, Zhen Xu, Yihan Yang, Bing Zhang, Fei Xu, Zhibin Hu

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. 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

7 authors.

Qing YeNanjing Municipal Center for Disease Control and Prevention Affiliated to Nanjing Medical University, Nanjing, China.
Zhenzhen QinNanjing Municipal Center for Disease Control and Prevention Affiliated to Nanjing Medical University, Nanjing, China.
Zhen XuCollege of Landscape Architecture, Nanjing Forestry University, Nanjing, China.
Yihan YangDepartment of Urban Planning and Design, Graduate School of Design, Harvard University, Boston, USA.
Bing ZhangCollege of Landscape Architecture, Nanjing Forestry University, Nanjing, China.
Fei XuNanjing Municipal Center for Disease Control and Prevention Affiliated to Nanjing Medical University, Nanjing, China.
Zhibin HuSchool of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To examine the concurrent validity of the Chinese version of Physical Activity Neighborhood Environment Scale (PANES-CHN) among urban adults in regional China. Methods: With multistage sampling approaches, 801 eligible urban adults aged 35-74 years were recruited from Nanjing municipality of China between July and September of 2019. The neighbourhood built environment features were measured subjectively with PANES-CHN and objectively with geographic information system. The concurrent validity of PANES was assessed using Spearman's correlations ( Results: Among the total 801 participants, the mean age was 54.4 (standard deviation = 11.5), while 48.7 % were men. Overall, of all the five objectively-measurable built environment characteristics, the Spearman correlations were examined significant between subjective and objective measurements for commercial facilities (item 2) ( Conclusions: PANES-CHN generally has an acceptable validity for assessing built environment characteristics among urban adults in China, which implies that PANES-CHN can be used to measure built environment attributes in health-related population studies.

Indexed as

Built environmentPANESPhysical activityUrbanValidity

Identifiers

PMID38798909
PMCPMC11127170

What OpenQuestion holds

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Registered trials

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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.