地方大学食堂出售食物的红绿灯分析:一项试点研究

Shi Yee Loo, Anis Wahida Md Nazri, Nur Eizzati Farhani Rosle, Munirah Ismail, Yi Yi Lee, S. Krishnasamy
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引用次数: 0

摘要

不受监管的大学食堂可能会提供高脂肪或高糖的食品和饮料。交通灯标签(TLL)能够引导学生做出更健康的选择。因此,本研究的目的是评估大学食堂提供的食品和饮料的健康水平,通过将其与TLL和卡路里密度进行对比,以评估学生对实施TLL的看法。这项初步观察性研究在三所大学进行;巴生谷的两所公立大学和一所私立大学。使用营养软件Nutritionist Pro (TM)分析了166种食品和饮料的卡路里、脂肪、饱和脂肪、钠和糖。通过使用excel电子表格,对每种食品/饮料的分析数据进一步分析为TLL和卡路里密度。所分析的食品和饮料是在食堂和自助餐厅出售的食品和饮料,以及在食物频率问卷(FFQ)中报告的经常消费的食品和饮料。共有192名学生完成了一份问卷,其中包括三个部分:个人简介,他们通常入学的简短FFQ以及他们对在其机构实施教学教学的看法。8.1%的食品被分类为绿色(健康食品),41.9%的食品被分类为琥珀色(中等健康食品),50%的食品被分类为红色(不健康食品)。几乎一半的饮料(46.7%)被发现是不健康的。然而,当对所有食物的卡路里密度进行分析时,超过一半(61.8%)的食物被归类为中等健康食品。此外,大多数受访者(88%)对在自助餐厅实施TLL表示积极的看法。两所大学食堂出售的大量食物不健康,需要调整饮食。TLL的实施对大学生是有益的,因为它可以帮助引导学生选择更健康的熟食和包装食品和饮料。
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Traffic light profiling of meals sold in cafeteria of local universities: A pilot study
Unregulated university cafeterias may be serving food and beverages high in fat or sugar. Traffic light labelling (TLL) has been able to guide students in making healthier choices. Therefore, the aim of this study was to assess the healthiness level of food and beverages served in university cafeterias by profiling it against TLL and calorie density to evaluate student’s perception towards the implementation of TLL. This pilot observational study was conducted in three universities; two public university and one private institution within Klang Valley. A total of 166 foods and beverages were analysed for calories, fat, saturated fat, sodium, and sugar by using a nutritional software, Nutritionist Pro (TM). Analysed data for each food/beverage were further profiled into TLL and calorie density by using an excel spreadsheet. Food and beverages analysed were those sold in canteen and cafeterias combined those frequently consumed, reported in a food frequency questionnaire (FFQ). A total of 192 students completed a questionnaire containing three sections: personal profile, a short FFQ of their usual intake and their perception towards implementation of TLL in their institutions. 8.1% of all food items were categorised as green (healthy food), whereas 41.9% were amber (moderately healthy food), and 50% were red (unhealthy food). Almost half of the beverages (46.7%) were found to be unhealthy. However, when all foods were profiled for calorie density, more than half (61.8%) were categorised as moderately healthy food. In addition, most of the respondents (88%) showed a positive perception towards the implementation of TLL in the cafeteria. A large number of meals sold in two universities cafeterias were unhealthy and requires dietary modification. TLL implementation was beneficial for tertiary students as it may help guide the students to choose healthier options of cooked meals and packaged foods and beverages.
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