Social disparities in exposures to neighbourhood obesogenic built environments in Czechia
Jazyk angličtina Země Velká Británie, Anglie Médium print
Typ dokumentu časopisecké články
Grantová podpora
European Union
LX22NPO5104
National Institute for Research of Metabolic and Cardiovascular Diseases
MEYS
LM2023069
RECETOX Research Infrastructure
101080250
HEU programme
857560
EU's H2020 research and innovation programme
857487
EU's H2020 research and innovation programme
PubMed
40488426
PubMed Central
PMC12395951
DOI
10.1093/pubmed/fdaf065
PII: 8158649
Knihovny.cz E-zdroje
- Klíčová slova
- environment, obesity, socioeconomics factors,
- MeSH
- charakteristiky bydlení * statistika a číselné údaje MeSH
- charakteristiky okolí bydliště * statistika a číselné údaje MeSH
- cvičení MeSH
- disparity zdravotního stavu * MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- obezita * epidemiologie etiologie MeSH
- socioekonomické faktory MeSH
- vytvořené prostředí * statistika a číselné údaje MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
BACKGROUND: Exposure to the environments with limited walkability and high density of unhealthy food outlets promotes obesity development and might cluster in disadvantaged neighbourhoods. This study examines the combined obesogenicity of urban neighbourhoods in Brno, and related socio-economic disparities. METHODS: This study was conducted in Brno, the second-largest city in Czechia. The obesogenic index was calculated from 12 components of built food and physical activity environments for each of the 296 basic settlement units (BSUs) of Brno. The index ranged from 0 (low obesogenicity) to 100 (high obesogenicity). The social disparities were assessed using linear regression. Spatial clustering was assessed using the global Moran's Index. RESULTS: The median obesogenic index score for Brno's 296 BSUs was 72.09 (IQR = 24.03), with higher scores in peripheral and industrial areas. Areas with higher proportion of people with university education had lower obesogenic scores of physical activity and overall obesogenic environment. Simultaneously, localities with higher unemployment exhibited lower obesogenic score in food and overall obesogenic environment. CONCLUSION: Areas with lower levels of obesogenicity were primarily concentrated in central locations. No clear socio-economic gradient was observed, although proportion of university-educated inhabitants and unemployment rates were both associated with lower obesogenic environment scores.
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