Detopoulou Paraskevi, Syka Dimitra, Koumi Konstantina, Dedes Vasileios, Tzirogiannis Konstantinos, Panoutsopoulos Georgios I
Department of Nutritional Science and Dietetics, Faculty of Health Sciences, University of Peloponnese, New Building, Antikalamos, 24100 Kalamata, Greece.
Department of Clinical Nutrition, General Hospital Korgialenio Benakio, Athanassaki 2, 11526 Athens, Greece.
Diseases. 2022 Jul 7;10(3):43. doi: 10.3390/diseases10030043.
Nutrient profiling systems (NPS) assist consumers in food choices. Several scores based on NPS have been proposed, but data on their clinical application are lacking. The food compass score (FCS) is a newly developed NPS per 100 kcal (from 1 “least healthy” to 100 “most healthy”). We examined the correlations of FCS with other indices, food groups, and meal patterns. A total of 346 students of the University of the Peloponnese (269 women and 77 men) participated. Dietary habits were evaluated with a food frequency questionnaire, and FCS, health star rating score (HSR), and MedDietScore were computed. Meal and snack frequency consumption was reported. Principal component analysis revealed three meal patterns: “early eater” (breakfast, morning snack and afternoon snack), “medium eater” (lunch and dinner), and “late eater” (bedtime snack). Pearson partial correlations between ranked variables were used to test the correlation coefficients between FCS, other scores, and meal patterns, after adjustment for age, sex, BMI, and underreporting. FCS was positively correlated to HSR (rho = 0.761, p ≤ 0.001) in a multi-adjusted analysis. In the highest tertile of MedDietScore FCS was also positively correlated to MedDietScore (rho = 0.379, p < 0.001). The FCS was positively correlated with juices, high-fat dairy, vegetables, legumes, fruits, and olive oil and negatively correlated with sodas, alcoholic drinks, red meat, refined grains, sweets, fats other than olive oil, fast foods, and coffee. In addition, it related positively to the “early eater” pattern (rho = 0.207, p < 0.001). The FCS was associated with other quality indices and better nutritional habits, such as being an early eater.
营养成分分析系统(NPS)有助于消费者做出食物选择。基于NPS已经提出了几种评分方法,但关于它们临床应用的数据却很缺乏。食物罗盘评分(FCS)是一种新开发的每100千卡的NPS(从1“最不健康”到100“最健康”)。我们研究了FCS与其他指标、食物类别和饮食模式之间的相关性。伯罗奔尼撒大学的346名学生(269名女性和77名男性)参与了研究。通过食物频率问卷评估饮食习惯,并计算FCS、健康星级评分(HSR)和地中海饮食评分(MedDietScore)。报告了餐食和零食的食用频率。主成分分析揭示了三种饮食模式:“早食者”(早餐、上午零食和下午零食)、“中食者”(午餐和晚餐)和“晚食者”(睡前零食)。在对年龄、性别、体重指数(BMI)和低报情况进行调整后,使用排序变量之间的Pearson偏相关来检验FCS、其他评分和饮食模式之间的相关系数。在多因素调整分析中,FCS与HSR呈正相关(rho = 0.761,p≤0.001)。在MedDietScore最高三分位数中,FCS也与MedDietScore呈正相关(rho = 0.379,p < 0.001)。FCS与果汁、高脂肪乳制品、蔬菜、豆类、水果和橄榄油呈正相关,与汽水、酒精饮料、红肉、精制谷物、糖果、非橄榄油脂肪、快餐和咖啡呈负相关。此外,它与“早食者”模式呈正相关(rho = 0.207,p < 0.001)。FCS与其他质量指标和更好的营养习惯相关,比如是早食者。