欧洲青少年水果、蔬菜和甜食消费量随时间的变化以及与社会人口特征的关系:HBSC 研究。

Judit Queral, Annemieke Wargers, Lucia Tarro, E. Llauradó, Rosa Solà, Wilma Jansen
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引用次数: 0

摘要

背景欧洲青少年水果和蔬菜摄入量不足,甜食摄入量较高。本研究旨在分析欧洲青少年与社会人口特征相关的饮食行为随时间的变化。家庭富裕程度量表确定了社会经济地位(SES)。结果182 719名青少年被纳入研究,其中10/36个欧洲国家的青少年在4年内的每日水果和蔬菜消费量显著增加,12/36个国家的青少年在4年内的甜食消费量显著减少。多层次分析表明,与 11 岁青少年相比,13 岁和 15 岁青少年每天水果和蔬菜的消费量较少(P < 0.001),每天甜食的消费量较多(P < 0.001)。此外,15 岁青少年的甜食消费量随时间的变化也较小(P = 0.006)。与中/高社会经济地位青少年相比,低社会经济地位青少年每天摄入的水果和蔬菜较少。此外,随着时间的推移,低社会经济地位青少年的蔬菜消费量变化较小(P < 0.001)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changes over time of fruit, vegetable and sweets consumption among European adolescents and associations with sociodemographic characteristics: an HBSC study.
BACKGROUND European adolescents do not eat enough fruits and vegetables and have a high sweets consumption. This study aims to analyse the changes in time of dietary behaviours related to sociodemographic characteristics, among European adolescents. METHODS Health Behaviour in School Age Children data (2013/14 to 2017/18), of European adolescents, aged 11- to15-year-old, were used. Family Affluence Scale identified socioeconomic status (SES). Changes in time of dietary behaviours and associations with sociodemographic characteristics were estimated by binary and multilevel logistic regression. RESULTS 182 719 adolescents were included, and 10/36 European countries showed a significant increase in daily fruit and vegetable consumption and 12/36 countries a significant decrease in sweets consumption over 4 years. The multilevel analysis showed that 13- and 15-year-old adolescents consumed fewer daily fruits and vegetables (P < 0.001) and more daily sweets (P < 0.001) than 11-year-old adolescents. Also, 15-year-old adolescents' sweets consumption change over time was less favourable (P = 0.006). Girls consumed more daily fruits, vegetables and sweets than boys (P < 0.001).Low SES adolescents consumed fewer daily fruits and vegetables than medium/high SES adolescents. Additionally, the low SES adolescents' vegetable consumption change over time was less favourable (P < 0.001). CONCLUSIONS Dietary behaviour policy recommendations should be adapted for the sex, age and SES of the population.
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