Nutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil.
Department of Nutrition, University of Brasilia, Brasilia 70910-900, Brazil.
Nutrients. 2024 Jan 8;16(2):201. doi: 10.3390/nu16020201.
The food environment plays a crucial role in shaping people's eating habits and, in and around schools, this influence becomes even more critical due to the time students spend daily in these spaces. This study aimed to analyze the food and consumer environments inside and around federal institutes in Bahia, Brazil. Ecological study and audit methodologies were combined, with all the 35 federal institutes in Bahia as the sample universe. To delimit the food environment around the school, the establishments were mapped in a 1000 m buffer, with the school as the centroid. The geographic coordinates of schools and food outlets were initially obtained using Google Maps and later confirmed on-site. The data were collected in WGS 84 and converted to UTM zone 23S SIRGAS 2000. To map the consumer environment, establishments found in a 250 m buffer and also canteens within schools were audited, using the ESAO-r instrument that considers the availability and prices of healthy and unhealthy foods; availability of nutritional information near the point of purchase or on the menu; and presence of internal marketing of healthy and unhealthy foods. The healthy meal-restaurant index (HMRI) was also measured. This index ranges from 0 to 8 points and positively scores items related to healthy consumption and fails to score those related to unhealthy consumption and behavior. The establishments were grouped into four categories (healthy, unhealthy, mixed, and supermarkets). The surrounding area with four or more unhealthy establishments within the 250 m buffer was considered a food swamp. Descriptive analyses were carried out with frequency measurements, measures of central tendency (mean and median), and dispersion (standard deviation). Around the analyzed schools, 732 food establishments were identified, 73.8% ( = 540) formal and 26.2% ( = 192) informal. Considering the characteristics of existing commerce, there was a predominance of snack bars (45%), grocery stores (23%), and bars (7.8%), with a smaller number of supermarkets identified (4.1%). School canteens were found in 20 schools analyzed and only 15% had a variety of healthy foods. When evaluating the availability of healthy foods, a median HMRI of 3 (1-7) was observed. When analyzing this index according to the type of establishment, it was found that fruit and vegetables presented higher values (HMRI = 7; P25-P75: 4-8) compared to large chain supermarkets (HMRI = 5; P25-P75: 2-6; < 0.001) and local markets (HMRI = 4; P25-P75: 2-5; < 0.001). From the analysis of the food and consumer environments, it was possible to make inferences about the quality of the food offered to students in these locations, as well as the potential health outcomes arising from this exposure and the need to carry out food education activities and nutritional activities.
食品环境在塑造人们的饮食习惯方面起着至关重要的作用,在学校及其周边地区,由于学生每天在这些场所花费的时间,这种影响变得更加关键。本研究旨在分析巴西巴伊亚联邦机构内部和周围的食品和消费者环境。采用生态研究和审计方法,以巴伊亚的所有 35 个联邦机构作为样本总体。为了划定学校周围的食品环境,以学校为中心,在 1000 米缓冲区中对学校周围的所有机构进行了映射。学校和食品店的地理坐标最初使用 Google 地图获得,然后在现场进行了确认。数据是在 WGS 84 中收集的,并转换为 UTM 区 23S SIRGAS 2000。为了绘制消费者环境图,在 250 米缓冲区中发现的机构以及学校内的食堂都使用 ESAO-r 工具进行了审核,该工具考虑了健康和不健康食品的供应情况和价格;购买点或菜单附近是否提供营养信息;以及内部是否有健康和不健康食品的营销。还测量了健康膳食餐厅指数(HMRI)。该指数范围从 0 到 8 分,对与健康消费相关的项目进行正评分,对与不健康消费和行为相关的项目进行负评分。这些机构被分为四类(健康、不健康、混合和超市)。在 250 米缓冲区范围内有四个或更多不健康机构的周边地区被认为是食品沼泽。采用频率测量、中心趋势(均值和中位数)和离散度(标准差)进行描述性分析。在分析的学校周围,共确定了 732 个食品机构,其中 73.8%(=540)为正规机构,26.2%(=192)为非正规机构。考虑到现有商业的特点,小吃店(45%)、杂货店(23%)和酒吧(7.8%)占据主导地位,超市数量较少(4.1%)。在所分析的 20 所学校中发现了学校食堂,但只有 15%的食堂提供各种健康食品。在评估健康食品的供应情况时,观察到 HMRI 的中位数为 3(1-7)。当根据机构类型分析该指数时,发现水果和蔬菜的数值更高(HMRI=7;P25-P75:4-8),而大型连锁超市(HMRI=5;P25-P75:2-6;<0.001)和当地市场(HMRI=4;P25-P75:2-5;<0.001)。从食品和消费者环境的分析中,可以推断出这些场所向学生提供的食品质量,以及由此产生的潜在健康结果,以及开展食品教育活动和营养活动的必要性。