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

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 (N = 405) and multiscale geospatial datasets from Tianjin, China (2023), we establish a comprehensive indicator repos

SUBMITTER: Sun Y 

PROVIDER: S-EPMC12678105 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature