奥地利青少年成熟状态与膳食摄入的关系

Drenowatz Clemens, Greier Klaus
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引用次数: 1

摘要

背景:饮食摄入对儿童和青少年的发育和健康起着重要作用。青春期是一个特别脆弱的时期,因为与生长相关的营养需求增加。这个年龄范围也与健康行为的各种变化有关。虽然有几项研究考察了社会和建筑环境对青少年饮食习惯的影响,但对生物成熟与青少年饮食行为以及食物摄入之间的关系的研究仍然有限。方法:这项横断面研究包括165名年龄在11至16岁之间的参与者(55%为男性)的数据。该研究方案得到了因斯布鲁克大学机构审查委员会、学校董事会和参与学校校长的批准。在一堂常规体育课上,参与者穿着运动服,光着脚,用电子秤和便携式视距仪测量体重和身高。随后,计算成熟度偏移,并根据高峰高度速度下的估计年龄确定生物成熟度。在正常上课时间使用标准化问卷来评估饮食摄入和饮食习惯。主成分分析揭示了分析中使用的食物摄入的3个主要因素(肉类/碳水化合物、牛奶/谷物、水/低快餐)。结果:男孩和女孩在饮食习惯上没有差异。然而,与女孩相比,男孩在肉类/CHO因素方面的得分更高,而在水/低快餐因素方面的分数更低。男孩的饮食习惯或饮食摄入量在不同的成熟度三分位数之间没有差异。然而,与同龄人相比,晚熟女孩的午餐和晚餐频率较低,牛奶/谷物因子得分较高。结论:生物成熟似乎有助于饮食摄入和饮食习惯的改变,尤其是女孩。晚熟女孩可能特别容易出现饮食不规律的情况。因此,家庭膳食可能是建立青少年健康饮食模式的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between Maturity Status and Dietary Intake in Austrian Adolescents
Background: Dietary intake plays an important role in the development and health of children and adolescents. Puberty is a particularly vulnerable period due to the increased nutrient demands associated with growth. This age range has also been associated with various changes in health behavior. While several studies have examined the influence of the social and built environment on dietary habits during adolescence, there remains limited research on the association between biological maturation and eating behaviors as well as food intake in youth. Methods: This cross-sectional study includes data from 165 participants (55% male) between 11 and 16 years of age. The study protocol was approved by the University of Innsbruck Institutional Review Board as well as the school board and principals of the participating schools. Body weight and height was measured with an electronic scale and a portable stadiometer during a regular physical education class with participants wearing gym clothes and being barefoot. Subsequently, maturity offset was calculated, and biological maturation was determined based on estimated age at peak height velocity. A standardized questionnaire administered during regular class-time was used to assess dietary intake and eating habits. Principal component analysis revealed 3 main factors for food intake (meat/carbohydrates, milk/cereal, water/low fast food), which were used in the analyses. Results: There were no differences in eating habits between boys and girls. Boys, however, displayed higher scores for the meat/CHO factor while their scores for the water/low fast food factor was lower compared to girls. There was no difference in eating habits or dietary intake across maturity tertiles in boys. Late maturing girls, however, reported less frequent lunch and dinner as well as higher milk/cereal factor scores compared to their peers. Conclusion: Biological maturation appears to contribute to changes in dietary intake and eating habits, particularly in girls. Late maturing girls may be at particular risk for irregular eating patterns. Family meals, therefore, may be an important component in the establishment of healthy dietary patterns in adolescents.
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