Evidence map›Paper›PMID 42769218›Full record

ArticleFrontiers in public health2026

Perceived neighborhood built environment and its associations with sociodemographic characteristics among older adults in regional China.

Yu Dou, Hongyun Zhou, Qing Ye, Zhiyong Wang, Caihong Hu, Guofeng Ao, Luyan Yang, Yaqing Xiong, Fei Xu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yu Dou *Jiangsu Province Official Hospital, Nanjing, China.
Hongyun Zhou *Jiangsu Province Official Hospital, Nanjing, China.
Qing YeNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Zhiyong WangNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Caihong HuNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Guofeng AoNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Luyan YangNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Yaqing XiongJiangsu Province Official Hospital, Nanjing, China.
Fei XuNanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neighborhood built environment (BE) is associated with physical activity (PA) and health-related conditions among local residents, particularly older adults. As an easily operational instrument, the Physical Activity Neighborhood Environment Scale (PANES) has been widely used to measure BE attributes related to PA globally. However, evidence remains limited on how older adults with different sociodemographic characteristics perceive local BE attributes in China. This study aimed to investigate the associations between sociodemographic characteristics and BE attributes among older residents in regional China. Methods: In this cross-sectional survey conducted in Nanjing Municipality, China, in 2023, 5,484 community-dwelling adults aged 60 + years were randomly selected. Six out of seven objectively measurable PANES core items were used to assess BE attributes, and they were treated as outcome variables. Item 1 recorded the exact housing type, while each of the remaining five items was classified as "strongly/somewhat disagree" or "strongly/somewhat agree" based on a 4-point Likert scale. The explanatory variables were the classical sociodemographic characteristics. Mixed-effects multivariate logistic regression models were used to investigate the associations between sociodemographic characteristics and BE attributes. Results: After adjusting for potential confounders, suburban residents were less likely to perceive PA-favorable commercial facilities, public transportation transit/stops, sidewalks on streets, shared paths for cycles and pedestrians, and free/low-cost recreational facilities. Blue-collar workers were less likely to perceive PA-supportive sidewalks on streets and shared paths for cyclists and pedestrians. Participants with middle-level educational attainment were more likely to report PA-friendly commercial facilities, sidewalks, shared paths for cycles and pedestrians, and free/low-cost recreational facilities, whereas individuals with a spouse/partner tended to report sidewalks and shared paths for cycles and pedestrians. Interestingly, participants aged 70-79 years were less likely to live in a single house, and no link was observed between sex and perceived BE attributes. Conclusion: Residential location, education, occupation, and marital status were all associated with perceived BE attributes among older residents in regional China; however, age was only associated with the type of housing. This study has important public health implications, suggesting that sociodemographic characteristics may serve as helpful markers for screening older community-dwelling adults who may perceive PA-supportive BE attributes in regional China.

Indexed as

Built EnvironmentExerciseNeighborhood CharacteristicsResidence CharacteristicsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsSurveys and Questionnairesbuilt environmentChineseolder adultsperceptionphysical activitysocio-demographic characteristics

Identifiers

PMID42769218
PMCPMC13590362

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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.