File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Digital platform-based conceptual framework for food environment research in China

TitleDigital platform-based conceptual framework for food environment research in China
Authors
KeywordsChina
digital platform
food environment
obesity
systematic framework
Issue Date13-Mar-2025
PublisherCambridge University Press
Citation
Public Health Nutrition, 2025, v. 28, n. 1 How to Cite?
AbstractChina has dedicated significant efforts to preventing obesity, but the rising prevalence of overweight and obesity remains a pressing public health issue. Therefore, unique solutions are required to address this challenge in China. As a research priority, the food environment plays a pivotal role in addressing overweight and obesity. However, research on this topic in China lags behind that in other developed countries, and the conflicting global evidence on the association between the food environment and obesity cannot be directly applied to policymaking and intervention in China. In addition, the rapid advancement of digital technology has introduced complexities and uncertainties in the food environment. To address these challenges, we propose an alternative research framework through (a) dissecting the challenges associated with defining and measuring the food environment, (b) reorganising the relationship chains between the food environment and human diet/health and (c) taking into consideration digital platforms as crucial monitoring tools for studying the food environment. Our framework aims to unlock the potential of food environment research in the digital age, ultimately striving to tackle the overweight and obesity issues in China.
Persistent Identifierhttp://hdl.handle.net/10722/360740
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.861

 

DC FieldValueLanguage
dc.contributor.authorCong, Na-
dc.contributor.authorKoh, Keumseok-
dc.contributor.authorKwan, Mei Po-
dc.contributor.authorZhang, Hongsheng-
dc.date.accessioned2025-09-13T00:36:07Z-
dc.date.available2025-09-13T00:36:07Z-
dc.date.issued2025-03-13-
dc.identifier.citationPublic Health Nutrition, 2025, v. 28, n. 1-
dc.identifier.issn1368-9800-
dc.identifier.urihttp://hdl.handle.net/10722/360740-
dc.description.abstractChina has dedicated significant efforts to preventing obesity, but the rising prevalence of overweight and obesity remains a pressing public health issue. Therefore, unique solutions are required to address this challenge in China. As a research priority, the food environment plays a pivotal role in addressing overweight and obesity. However, research on this topic in China lags behind that in other developed countries, and the conflicting global evidence on the association between the food environment and obesity cannot be directly applied to policymaking and intervention in China. In addition, the rapid advancement of digital technology has introduced complexities and uncertainties in the food environment. To address these challenges, we propose an alternative research framework through (a) dissecting the challenges associated with defining and measuring the food environment, (b) reorganising the relationship chains between the food environment and human diet/health and (c) taking into consideration digital platforms as crucial monitoring tools for studying the food environment. Our framework aims to unlock the potential of food environment research in the digital age, ultimately striving to tackle the overweight and obesity issues in China.-
dc.languageeng-
dc.publisherCambridge University Press-
dc.relation.ispartofPublic Health Nutrition-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChina-
dc.subjectdigital platform-
dc.subjectfood environment-
dc.subjectobesity-
dc.subjectsystematic framework-
dc.titleDigital platform-based conceptual framework for food environment research in China -
dc.typeArticle-
dc.identifier.doi10.1017/S1368980024002209-
dc.identifier.pmid40079059-
dc.identifier.scopuseid_2-s2.0-105000339337-
dc.identifier.volume28-
dc.identifier.issue1-
dc.identifier.eissn1475-2727-
dc.identifier.issnl1368-9800-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats