Wind Marianne, de Bourdeaudhuij Ilse, te Velde Saskia J, Sandvik Camilla, Due Pernille, Klepp Knut-Inge, Brug Johannes
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
J Nutr Educ Behav. 2006 Jul-Aug;38(4):211-21. doi: 10.1016/j.jneb.2006.02.011.
To determine factors associated with the consumption of fruit and vegetables among 11-year-old schoolchildren in Belgium-Flanders and the Netherlands.
In total, 2468 school children from 98 randomly selected schools participated in a cross-sectional survey.
Frequency of fruit and vegetable intake and potential personal, social and environmental correlates were measured by means of self-administered, school-based, written questionnaires.
Hierarchical multiple regression analyses were conducted to assess potential correlates of schoolchildren's fruit and vegetable consumption. Separate analyses were conducted for boys and girls.
Bringing fruit to school, modeling behavior of parents and friends, parents demanding that their child eat fruit, knowledge about recommended intake levels, liking fruit, and self-efficacy to eat fruit were the strongest correlates of fruit intake. For vegetables, gender, parental demand, parents facilitating the consumption of vegetables by cutting them for their child, modeling behavior of parents and friends, and preferences for vegetables emerged as strongest correlates. No substantial differences in significant correlates were found according to gender. The percentage of explained variance was 33.7% for fruit and 28.4% for vegetable intake.
Interventions need to be focused on personal (taste preferences), social (parental influences), and environmental factors (availability).
确定比利时弗拉芒大区和荷兰11岁学童食用水果和蔬菜的相关因素。
总共2468名来自98所随机抽取学校的学童参与了一项横断面调查。
通过基于学校的自填式书面问卷,测量水果和蔬菜的摄入频率以及潜在的个人、社会和环境相关因素。
进行分层多元回归分析,以评估学童水果和蔬菜消费的潜在相关因素。对男孩和女孩分别进行分析。
带水果去学校、父母和朋友的示范行为、父母要求孩子吃水果、对推荐摄入量的了解、喜欢水果以及吃水果的自我效能感是水果摄入量最强的相关因素。对于蔬菜来说,性别、父母的要求、父母为孩子切好蔬菜以促进其食用、父母和朋友的示范行为以及对蔬菜的偏好是最强的相关因素。根据性别,在显著相关因素方面未发现实质性差异。水果摄入量的可解释方差百分比为33.7%,蔬菜摄入量为28.4%。
干预措施需要聚焦于个人因素(口味偏好)、社会因素(父母的影响)和环境因素(可获得性)。