Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
BMC Public Health ; 23(1): 2102, 2023 10 25.
Article in English | MEDLINE | ID: mdl-37880618

ABSTRACT

BACKGROUND: One of the reasons for the more prominent resistance of canteen managers to implementing healthy canteens is based on the belief in the economic infeasibility of these models. The research aimed to verify the economic and financial viability of traditional and healthy models of school canteens in a Brazilian metropolis. METHODS: The case study was carried out with 36 companies in the school canteen sector in a Brazilian metropolis. The classification of items sold in canteens considered the extent and purpose of food processing according to the NOVA Classification. The characterization and definition of traditional canteens and healthy canteens were proposed considering the amount of in natura or minimally processed foods and culinary preparations without the presence of ultra-processed foods; the percentage of ultra-processed foods or processed foods or culinary preparations with the presence of ultra-processed foods; and the existence of prohibited foods. The economic and financial analysis was carried out mainly through the evaluation of profitability. Data were collected through an electronic self-administered questionnaire sent to canteen managers. The Mann-Whitney test was used to compare medians and the Chi-Square/Fisher's Exact Test to compare proportions. RESULTS: The study included six companies, responsible for 36 canteen units in private schools, 30 classified in the traditional model (83.3%), and six in the healthy model (16.7%). The median percentage of natural, minimally processed foods and commercialized culinary preparations was higher among the healthy model canteens (87.9% vs. 60.0%, p < 0.001). While the median percentage of ultra-processed, processed, or preparations with the presence of ultra-processed (40.0% vs. 12.1%, p < 0.001) and prohibited foods (10.0% vs. 0%, p < 0.001) sold was higher in the traditional model canteens. The results indicated that the profitability in the healthy canteens was higher (p < 0.001) than in the traditional ones. CONCLUSIONS: Healthy school canteens showed better financial and economic results compared to traditional canteens with emphasis on greater profitability and a shorter recovery time of the initial investment.


Subject(s)
Food Services , Humans , Health Promotion/methods , Food , Food, Processed , Schools , Diet
2.
J Urban Health ; 98(2): 285-295, 2021 04.
Article in English | MEDLINE | ID: mdl-33230671

ABSTRACT

To overcome the challenge of obtaining accurate data on community food retail, we developed an innovative tool to automatically capture food retail data from Google Earth (GE). The proposed method is relevant to non-commercial use or scholarly purposes. We aimed to test the validity of web sources data for the assessment of community food retail environment by comparison to ground-truth observations (gold standard). A secondary aim was to test whether validity differs by type of food outlet and socioeconomic status (SES). The study area included a sample of 300 census tracts stratified by SES in two of the largest cities in Brazil, Rio de Janeiro and Belo Horizonte. The GE web service was used to develop a tool for automatic acquisition of food retail data through the generation of a regular grid of points. To test its validity, this data was compared with the ground-truth data. Compared to the 856 outlets identified in 285 census tracts by the ground-truth method, the GE interface identified 731 outlets. In both cities, the GE interface scored moderate to excellent compared to the ground-truth data across all of the validity measures: sensitivity, specificity, positive predictive value, negative predictive value and accuracy (ranging from 66.3 to 100%). The validity did not differ by SES strata. Supermarkets, convenience stores and restaurants yielded better results than other store types. To our knowledge, this research is the first to investigate using GE as a tool to capture community food retail data. Our results suggest that the GE interface could be used to measure the community food environment. Validity was satisfactory for different SES areas and types of outlets.


Subject(s)
Food Supply , Restaurants , Brazil , Cities , Commerce , Data Mining , Humans , Residence Characteristics
SELECTION OF CITATIONS
SEARCH DETAIL
...