Evidence map›Paper›PMID 32743975›Full record

ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2021

Land use mix in the neighbourhood and childhood obesity.

Peng Jia, Xiongfeng Pan, Fangchao Liu, Pan He, Weiwei Zhang, Li Liu, Yuxuan Zou, Liding Chen

Open access · bronzeAbstract readReview
In one paragraph

Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Land use mix in the neighbourhood and childhood obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Review
  11. A changed research landscape of youth's obesogenic behaviours and environments in the post-COVID-19 era.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    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

8 authors at 7 institutions in 4 countries.

Peng JiaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0003-0110-3637
Xiongfeng PanInternational Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.
Fangchao LiuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-6316-4481
Pan HeDepartment of Earth System Science, Tsinghua University, Beijing, China.
Weiwei ZhangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, China.
Li LiuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Yuxuan ZouInternational Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.
Liding ChenState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Chinese Academy of Sciences · CNCentral South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNGuangzhou University · CNHong Kong Polytechnic University · HKSuzhou University of Science and Technology · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land use mix (LUM) in the neighbourhood is an important aspect for promoting healthier lifestyles and consequently reducing the risk for childhood obesity. However, findings of the association between LUM and childhood obesity remain controversial. A literature search was conducted on Cochrane Library, PubMed and Web of Science for articles published before 1 January 2019. In total, 25 cross-sectional and two longitudinal studies were identified. Among them, Geographic Information Systems were used to measure LUM in 15 studies, and perceived LUM was measured in 12 studies. Generally, most studies revealed an association between a higher LUM and higher PA levels and lower obesity rates, although some studies also reported null or negative associations. The various exposure and outcome assessment have limited the synthesis to obtain pooled estimates. The evidence remains scare on the association between LUM and children's weight status, and more longitudinal studies are needed to examine the independent pathways and causality between LUM and weight-related behaviours/outcomes.

Indexed as

Pediatric ObesityChildCross-Sectional StudiesGeographic Information SystemsHumansLongitudinal StudiesResidence Characteristicsbuilt environmentchildland use mixobesity

Identifiers

PMID32743975
PMCPMC7988622
OpenAlexW3046855280

What OpenQuestion 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 OpenQuestion graph.