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Description, measurement and evaluation of tertiary-education food environments.
Roy, R; Hebden, L; Kelly, B; De Gois, T; Ferrone, E M; Samrout, M; Vermont, S; Allman-Farinelli, M.
Afiliación
  • Roy R; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
  • Hebden L; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
  • Kelly B; 2School of Health and Society,Early Start Research Institute,University of Wollongong,Wollongong,NSW 2500,Australia.
  • De Gois T; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
  • Ferrone EM; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
  • Samrout M; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
  • Vermont S; 2School of Health and Society,Early Start Research Institute,University of Wollongong,Wollongong,NSW 2500,Australia.
  • Allman-Farinelli M; 1School of Life and Environmental Sciences,Charles Perkins Centre,University of Sydney,Sydney,NSW 2006,Australia.
Br J Nutr ; 115(9): 1598-606, 2016 05.
Article en En | MEDLINE | ID: mdl-27245102
ABSTRACT
Obesity in young adults is an increasing health problem in Australia and many other countries. Evidence-based information is needed to guide interventions that reduce the obesity-promoting elements in tertiary-education environments. In a food environmental audit survey, 252 outlets were audited across seven institutions three universities and four technical and further education institutions campuses. A scoring instrument called the food environment-quality index was developed and used to assess all food outlets on these campuses. Information was collated on the availability, accessibility and promotion of foods and beverages and a composite score (maximum score=148; higher score indicates healthier outlets) was calculated. Each outlet and the overall campus were ranked into tertiles based on their 'healthiness'. Differences in median scores for each outcome measure were compared between institutions and outlet types using one-way ANOVA with post hoc Scheffe's testing, χ 2 tests, Kruskal-Wallis H test and the Mann-Whitney U test. Binomial logistic regressions were used to compare the proportion of healthy v. unhealthy food categories across different types of outlets. Overall, the most frequently available items were sugar-sweetened beverages (20 % of all food/drink items) followed by chocolates (12 %), high-energy (>600 kJ/serve) foods (10 %), chips (10 %) and confectionery (10 %). Healthy food and beverages were observed to be less available, accessible and promoted than unhealthy options. The median score across all outlets was 72 (interquartile range=7). Tertiary-education food environments are dominated by high-energy, nutrient-poor foods and beverages. Interventions to decrease availability, accessibility and promotion of unhealthy foods are needed.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Universidades / Dieta / Ambiente / Abastecimiento de Alimentos / Obesidad Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Br J Nutr Año: 2016 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Universidades / Dieta / Ambiente / Abastecimiento de Alimentos / Obesidad Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Br J Nutr Año: 2016 Tipo del documento: Article