Evidence map›Paper›PMID 41358220›Full record

ArticleFrontiers in public health2025

Unveiling the obesogenic neighborhood food environment factors and typologies in Tianjin, China: an integrative analysis of perceived and objective measures.

Yue Sun, Wei Lu, Jinyuan Gu, Yishu Yao, Tianyue Wan

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yue SunResearch Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian, China.
Wei LuResearch Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian, China.
Jinyuan GuResearch Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian, China.
Yishu YaoResearch Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian, China.
Tianyue WanCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Assessing and intervening in food environments constitutes a critical strategy for addressing the obesity epidemics. However, existing assessments predominantly focus on either objective or perceived dimensions, with limited attention to developing countries. This study investigates the impact of neighborhood-level food environments on resident obesity in a national central city of China and establishes a typology of obesogenic community profiles. Methods: We developed an integrative tool that harmonizes objective geospatial data with subjective perceptual metrics. Leveraging stratified sampling survey data on neighborhood food environments ( Results: Among 10 principal components derived from PCA, four obesogenic factors were identified, ranked by effect magnitude: FAC_8 (Perceived Community Food Accessibility Index, Discussion: This study revealed that within the context of China's urban built environment, the prevalence of "food deserts" is minimal. Conversely, an augmented proportion of widely recognized healthy food facilities in developed Western countries has been observed to heighten the risk of obesity, including supermarkets and fresh food markets. This phenomenon exhibits a scale-dependence, indicating that its impact increases with the magnitude of the scale. The most salient characteristic of obesogenic neighborhoods in China is their high objective environmental risk. The study examined and identified neighborhood-level obesity factors and provided a generalizable method for identifying obesogenic neighborhood types, thereby providing empirical evidence for obesity research in developing countries.

Indexed as

Food SupplyNeighborhood CharacteristicsObesityResidence CharacteristicsAdultChinaFemaleHumansMalePrincipal Component Analysisfood desertsneighborhood food environmentobjective assessmentoverweight and obesityperceived measurement

Identifiers

PMID41358220
PMCPMC12678105

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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.