Changes in accessibility and preferences predict children's future fruit and vegetable intake.
Changes in accessibility and preferences predict children's future fruit and vegetable intake.
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DOI：
10.1186/1479-5868-2-15
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发表时间：
2005-10-10
期刊：
影响因子：
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通讯作者：
Klepp, Knut-Inge
中科院分区：
文献类型：
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作者：
Bere, Elling;Klepp, Knut-Inge
背景：大多数儿童食用的水果和蔬菜少于推荐量。为了能够设计有效的干预措施，了解行为的病因学是很重要的。在几项横断面研究中，可及性和偏好与水果和蔬菜摄入量有很强的相关性。这项研究的目的是确定未来水果和蔬菜摄入量的预测因素，并探索可及性和偏好之间相互作用的纵向模式。方法：提供的数据基于基线（2001年9月）和后续（2002年5月/ 6月）对挪威干预研究中20所对照学校的调查。共有816名学生（77%）完成了基线和随访问卷。样本在基线时的平均年龄为11.8岁。评估潜在预测变量的研究工具以社会认知理论为指导，包括家庭可达性、学校可达性、建模、意向、偏好、自我效能和对每天5项建议的认识。进行多元回归分析。结果：所有自变量（基线时测量）与未来的水果和蔬菜摄入量（随访时测量）显著相关。当报告的基线水果和蔬菜摄入量（过去的摄入量）包括在这个模型中时，其他自变量的影响减弱了。加上过去的摄入量，观察到的自变量从基线到随访的变化解释了随访时报告的摄入量变化的43%。过去的摄入量仍然是最强的预测因子，但家庭和学校可及性的变化，以及对水果和蔬菜偏好的变化，也解释了随访中水果和蔬菜摄入量的显著差异。此外，发现基线可及性调节了偏好变化和摄入量变化之间的关系。结论：可及性和偏好的变化似乎是未来学龄儿童水果和蔬菜摄入量的重要预测因素。干预措施应侧重于改变这些因素的战略。
BACKGROUND: Most children eat fewer fruits and vegetables than recommended. To be able to design effective interventions, understanding the aetiology of the behaviour is important. Accessibility and preferences have shown to be strong correlates of fruit and vegetable intake in several cross-sectional studies. The aim of this study was to identify predictors of future fruit and vegetable intake and to explore longitudinal patterns of interactions between accessibility and preferences.METHODS: Data presented are based on baseline (September 2001) and follow-up (May/June 2002) surveys of 20 control schools in the Norwegian intervention study Fruits and Vegetables Make the Marks. A total of 816 pupils (77%) completed both baseline and follow-up questionnaires. The average age of the sample at baseline was 11.8 years. The research instrument assessing potential predictor variables was guided by Social Cognitive Theory, and included Accessibility at home, Accessibility at school, Modelling, Intention, Preferences, Self-Efficacy and Awareness of the 5-a-day recommendations. Multiple regression analyses were performed.RESULTS: All independent variables (measured at baseline) were significantly correlated to future fruit and vegetable intake (measured at follow-up). When reported fruit and vegetable intake at baseline (past intake) was included in this model, the effect of the other independent variables diminished. Together with past intake, the observed change in the independent variables from baseline to follow-up explained 43% of the variance in the reported intake at follow-up. Past intake remained the strongest predictor, but changes in accessibility at home and at school, as well as changes in preferences for fruits and vegetables, also explained significant amounts of the variance in fruit and vegetable intake at follow-up. In addition, baseline accessibility was found to moderate the relationship between change in preferences and change in intake.CONCLUSION: Change in accessibility and preferences appear to be important predictors of future fruit and vegetable intake among school children. Interventions should focus on strategies to modify these factors.