Jump to Main Content
- Cummins, Steven, et al. Show all 4 Authors
- Appetite 2018 v.128 pp. 7-13
- chickens; diet; fast foods; focus groups; food sanitation; interviews; lifestyle; physical activity; public health; urban areas; United Kingdom
- ... The higher prevalence of fast food outlets in deprived areas has been associated with the production and maintenance of geographical inequalities in diet. In the UK one type of fast food outlet - the ‘chicken shop’ - has been the focus of intense public health and media interest. Despite ongoing concerns and initiatives around regulating these establishments, the ‘chicken shop’ is both a commercia ...
- Cummins, Steven, et al. Show all 5 Authors
- Public health nutrition 2018 v.21 no.15 pp. 2842-2851
- adolescents; diet; fast food restaurants; fast foods; observational studies; regression analysis; residential areas; risk; sugar sweetened beverages; United Kingdom
- ... To examine associations between availability of fast-food restaurants and convenience stores in the home and school neighbourhoods, considered separately and together, and adolescents’ fast-food and sugar-sweetened beverage (SSB) intakes. Cross-sectional observational study. East London, UK. Adolescents (n 3089; aged 13–15 years) from the Olympic Regeneration in East London (ORiEL) Study self-repo ...
- Cummins, Steven, et al. Show all 14 Authors
- The international journal of behavioral nutrition and physical activity 2018 v.15 no.1 pp. 91
- accelerometers; adults; algorithms; artificial intelligence; data collection; geographic information systems; global positioning systems; health behavior; prediction; traffic; travel; walking
- ... BACKGROUND: Increases in physical activity through active travel have the potential to have large beneficial effects on populations, through both better health outcomes and reduced motorized traffic. However accurately identifying travel mode in large datasets is problematic. Here we provide an open source tool to quantify time spent stationary and in four travel modes(walking, cycling, train, mot ...