VASCage, Centre on Clinical Stroke Research, Adamgasse 23, 6020 Innsbruck, Austria.
Department of Paediatrics II, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria.
Nutrients. 2023 Dec 18;15(24):5140. doi: 10.3390/nu15245140.
(1) Background: Unhealthy dietary behaviors are estimated to be one of the leading causes of death globally and are often shaped at a young age. Here, we investigated adolescent diet quality and its predictors, including nutrition knowledge, in two large Central European cohorts. (2) Methods: In 3056 participants of the EVA-Tyrol and EVA4YOU prospective population-based cohort studies aged 14 to 19 years, diet quality was assessed using the AHEI-2010 and DASH scores, and nutrition knowledge was assessed using the questionnaire from Turconi et al. Associations were examined utilizing multivariable linear regression. (3) Results: The mean overall AHEI-2010 score was 42%, and the DASH score was 45%. Female participants (60.6%) had a significantly higher diet quality according to the AHEI-2010 and DASH score. AHEI-2010 and DASH scores were significantly associated ( < 0.001) with sex, school type, smoking, and total daily energy intake. The DASH score was additionally significantly associated ( < 0.001) with age, socioeconomic status, and physical activity. Participants with better nutrition knowledge were more likely to be older, to attend a general high school, to live in a high-income household, to be non-smokers, and to have a higher diet quality according to the AHEI-2010 and DASH score. (4) Conclusions: Predictors of better diet quality included female sex, physical activity, educational level, and nutrition knowledge. These results may aid focused interventions to improve diet quality in adolescents.
(1) 背景:不良的饮食行为估计是全球主要死亡原因之一,而且往往在年轻时就形成。在这里,我们调查了两个中欧大型队列中青少年的饮食质量及其预测因素,包括营养知识。
(2) 方法:在 EVA-Tyrol 和 EVA4YOU 前瞻性基于人群的队列研究中,有 3056 名 14 至 19 岁的参与者,使用 AHEI-2010 和 DASH 评分评估饮食质量,使用 Turconi 等人的问卷评估营养知识。使用多变量线性回归来检查关联。
(3) 结果:AHEI-2010 的平均总体得分是 42%,DASH 得分为 45%。根据 AHEI-2010 和 DASH 评分,女性参与者(60.6%)的饮食质量明显更高。AHEI-2010 和 DASH 评分与性别、学校类型、吸烟和每日总能量摄入显著相关(<0.001)。DASH 评分还与年龄、社会经济地位和体力活动显著相关(<0.001)。营养知识更好的参与者更有可能年龄较大、就读普通高中、生活在高收入家庭、不吸烟、根据 AHEI-2010 和 DASH 评分具有更高的饮食质量。
(4) 结论:更好的饮食质量的预测因素包括女性、体力活动、教育水平和营养知识。这些结果可能有助于有针对性地干预青少年的饮食质量。