Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments
Authors' conclusion
The disparities between countries are noticeable. Geospatial and social network data sources contributed to studying the physical and sociocultural environments, which could be a valuable complement to those traditionally used in obesity research. We propose the use of information available on the Internet, addressed by artificial intelligence-based tools, to increase the knowledge on political and economic dimensions of the obesogenic environment.
Study context
- Population
- Studies of adult obesity research using non-traditional data sources, published in the last 5 years in English, Spanish or Portuguese; PubMed, Scopus and LILACS searched September–December 2021studies included
- Participants
- 53 studies
- Outcome
- Sources of non-traditional data and their applications across the domains of obesogenic environments (physical, sociocultural, political, economic)
Methodological detailsPRISMA guidelines, two independent groups of reviewers, Initial search 1583 articles; 94 full-text screened; 53 included
- PRISMA guidelines
- Two independent groups of reviewers
- Initial search 1583 articles; 94 full-text screened; 53 included
Pooled result
As reported in the abstract
Non-traditional data sources used
Studies originating from high-income countries
86.54%
Geospatial data within a GIS
76.67%
Social networks
16.67%
Digital devices
11.66%
Original publication
Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments. Int J Obes (Lond). Published 1 July 2023. doi:10.
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