Evidence map›Paper›PMID 40461572›Full record

ArticleScientific reports2025

Association between street greenery and physical activity among Chinese older adults in Beijing, China.

Yiling Song, Mingzhong Zhou, Jiale Tan, Jiali Cheng, Yangyang Wang, Xiaolu Feng, Hongjun Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Yiling SongDepartment of Physical Education, Tsinghua University, Beijing, China.
Mingzhong ZhouDepartment of Physical Education, Tsinghua University, Beijing, China.
Jiale TanDepartment of Physical Education, Tsinghua University, Beijing, China.
Jiali ChengFaculty of Public Physical Education, Hebei Normal University, Shijiazhuang, China.
Yangyang WangDepartment of Physical Education, Tsinghua University, Beijing, China.
Xiaolu FengDepartment of Sports Science, College of Education, Zhejiang University, Hangzhou, China.
Hongjun YuDepartment of Physical Education, Tsinghua University, Beijing, China. yuhj12@mail.tsinghua.edu.cn.

Funding

Beijing Social Science Foundation of China 21YTA009
6 · The paper itself

Abstract

Although numerous studies have investigated the impact of urban green spaces on health, the association between street-level greenery and domain-specific physical activity (PA) among older adults remains underexplored. This study employed Baidu Street View imagery and deep learning techniques to objectively evaluate street greenery exposure and its relationship with various types of PA among older adults in China. We conducted a cross-sectional study involving 1326 older adults (aged 60 years and above) residing in Beijing, China. The Physical Activity Scale for the Elderly (PASE) was used to assess participants' PA levels. Street greenery was measured within a 500 m buffer around each participant's residence using Baidu Street View images and deep learning algorithms. Data were analyzed using ANOVA, Chi-square tests, and multilevel linear regression models. Correlation analyses revealed that street greenery within a 500 m buffer of participants' residences was significantly and positively associated with transportation PA among older adults (p < 0.05), particularly with bicycling (p < 0.01). After adjusting for individual characteristics, annual household income, and other potential confounders, multilevel linear regression analysis indicated that street greenery remained a significant positive predictor of transportation PA (β = 0.08, p < 0.01). No significant associations were found between street greenery and either leisure PA or household PA (p > 0.05). Street greenery around residential areas is significantly associated with transportation PA among older adults in China. Urban green space planning should prioritize enhancing street greenery and creating safe, pleasant walking and cycling environments to support active aging in high-density cities.

Indexed as

Environment DesignExerciseResidence CharacteristicsAgedAged, 80 and overBeijingChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedParks, RecreationalTransportationChinaOlder adultsPhysical activityStreet greeneryStreet view images

Identifiers

PMID40461572
PMCPMC12134267

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.