Evidence map›Paper›PMID 32850579›Full record

ArticleFrontiers in public health2020

Does Green Space Really Matter for Residents' Obesity? A New Perspective From Baidu Street View.

Yang Xiao, Yuhang Zhang, Yangyang Sun, Peihong Tao, Xiaoming Kuang

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Impacts of Urban Blue-Green Space on Residents' Health: A Bibliometric Review.International journal of environmental research and public health · 2022
    Review
  11. Article
  12. Article
  13. Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China.International journal of environmental research and public health · 2021
    Article
  14. 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

5 authors.

Yang XiaoCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.
Yuhang ZhangCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.
Yangyang SunShanghai Tongji Urban Planning and Design Institute, Shanghai, China.
Peihong TaoCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.
Xiaoming KuangCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a growing literature on the topic, the association between neighborhood greenness and body weight is inconsistent. The objective of this research is to examine the association between neighborhood greenness and residents' obesity levels in a high population density area. We accounted for three greenness features: green access, green exposure, and view-based green index. We used the novel technique of deep convolutional neural network architecture to extract eye-level information from Baidu Street View images to capture the urban vertical greenness level. The research involved a survey with 9,524 respondents from 40 communities in Shanghai. Generally, we found all aspects of horizontal greenery, vertical greenery, and proximity of green levels to be impactful on body weight; however, only the view-based green index consistently had an adverse effect on weight and obesity.

Indexed as

Parks, RecreationalResidence CharacteristicsChinaHumansObesitySurveys and QuestionnairesBMIeye-levelgreen spaceShanghaistreet view image

Identifiers

PMID32850579
PMCPMC7426459

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.