6 research outputs found

    Determinants of fruit and vegetable intake among 11-year-old schoolchildren in a country of traditionally low fruit and vegetable consumption

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    BACKGROUND: Fruit and vegetable consumption is traditionally low in Iceland. The results of the Pro Children cross-Europe survey showed that the consumption was lowest among children in Iceland. The aim of this study was to identify determinants of fruit and vegetable intake among 11-year-old schoolchildren in Iceland. METHODS: A cross-sectional survey was performed in Iceland in the autumn of 2003 as a part of the Pro Children cross-Europe survey. The survey was designed to provide information on actual consumption levels of vegetables and fruits by 11-year-old school children and to assess potential determinants of consumption patterns. A total of 1235 Icelandic children (89%) from 32 randomly chosen schools participated. Hierarchical regression analyses were performed to determine the explained variance of the children's fruit and vegetable intake. In these analyses socio-demographic background variables were entered as a first block, perceived physical-environmental variables as a second block, perceived socio-environmental variables as a third block and personal variables as a fourth block. RESULTS: 64% of the children ate fruit less than once a day, and 61% ate vegetables less than once a day. Respectively, 31% and 39% of the variance in children's fruit and vegetable intake was explained by the determinants studied. About 7% and 13% of the variance in fruit and vegetable intake was explained by the perceived physical-environmental determinants, mainly by availability at home. About 18% and 16% of the variance in fruit and vegetable intake was explained by the personal determinants. For both fruit and vegetable intake, the significant personal determinants were preferences, liking, knowledge of recommendations and self-efficacy. CONCLUSION: Interventions to increase fruit and vegetable intake among children should aim at both environmental factors such as greater availability of fruit and vegetables, and personal factors as self-efficacy and knowledge levels concerning nutrition

    Effects of a school-based intervention on adherence of 7-9-year-olds to food-based dietary guidelines and intake of nutrients

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldOBJECTIVE: To assess the effects of a school-based intervention on the diets of 7-9-year-olds. DESIGN: Dietary intake of children in second and fourth grades was assessed with 3d weighed dietary records in autumn 2006 and autumn 2008, before and after a school-based intervention that started in the middle of second grade, and compared with control schools with no intervention. The diet was evaluated by comparison with food-based dietary guidelines (FBDG) and reference values for nutrient intake. The intervention aimed at several determinants of intake: knowledge, awareness, preferences/taste, self-efficacy and parental influence. Nutrition education material was developed for the intervention and implemented in collaboration with teachers. The main focus of the intervention was on fruit and vegetable intake as the children's intake was far from meeting the FBDG on fruit and vegetables at baseline. SETTING: Elementary schools in Reykjavik, Iceland. SUBJECTS: Complete dietary records were available for 106 children both at baseline and follow-up. RESULTS: Total fruit and vegetable intake increased by 47 % in the intervention schools (mean: 61.3 (sd 126.4) g/d) and decreased by 27 % in the control schools (mean: 46.5 (sd 105.3) g/d; P < 0.001). The majority of the children in the intervention schools did still not meet the FBDG on fruits and vegetables at follow-up. Fibre intake increased significantly in the intervention schools, as well as that of potassium, magnesium, beta-carotene and vitamin C (borderline). CONCLUSIONS: The school-based intervention in 7-9-year-olds was effective in increasing fruit and vegetable intake, by 47 % increase from baseline, which was mirrored in nutrient intake
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