Cutler Gretchen J, Flood Andrew, Hannan Peter, Neumark-Sztainer Dianne
Minnesota Department of Health, St Paul, MN, USA.
J Am Diet Assoc. 2011 Feb;111(2):230-40. doi: 10.1016/j.jada.2010.10.052.
Few studies have used dietary pattern analysis, a useful method to summarize dietary intake, in adolescents.
Examine sociodemographic and socioenvironmental correlates of habitual dietary patterns.
Data for this cross-sectional/prospective analysis were drawn from Project EAT (Eating Among Teens), a population-based study.
SUBJECTS/SETTING: Project EAT-I (Time 1), collected data on 4,746 adolescents in 1998-1999. Project EAT-II (Time 2) resurveyed 53% (n=2,516) of the original cohort 5 years later in 2003-2004. Dietary intake was assessed using the Youth/Adolescent Food Frequency Questionnaire. MAIN OUTCOME MEASURES/STATISTICAL ANALYSIS PERFORMED: Factor analysis identified four dietary patterns at Time 1 (vegetable, fruit, starchy food, and snack food) and Time 2 (vegetable and fruit, fast food, starchy food, and snack food). Linear regression was used to examine the relationship of Time 1 socioeconomic status and race (mutually adjusted) on factor scores for each dietary pattern, and then of Time 1 socioenvironmental characteristics (adjusted for socioeconomic status and race) on these factor scores.
In prospective analyses, socioeconomic status, family meal frequency, and home availability of healthy food were positively associated with the vegetable and fruit and starchy food patterns and inversely associated with the fast food pattern. Home availability of unhealthy food was inversely associated with the vegetable and fruit and starchy food patterns and positively associated with the fast food and snack food patterns. Maternal, paternal, and peer support for healthy eating were positively associated with the vegetable and fruit pattern and inversely associated with the fast food pattern. Similar associations were seen in cross-sectional analyses.
Multiple correlates of dietary patterns were identified. Health professionals should target these factors to improve the dietary quality of habitual eating practices in adolescents by encouraging parents to decrease home availability of unhealthy food while increasing availability of healthy food, family meal frequency, and parental support for healthy eating.
很少有研究在青少年中使用饮食模式分析这一总结饮食摄入量的有用方法。
研究习惯性饮食模式的社会人口学和社会环境相关因素。
本横断面/前瞻性分析的数据来自“青少年饮食”(Project EAT)这一基于人群的研究。
研究对象/研究背景:“青少年饮食”项目一期(时间1)在1998 - 1999年收集了4746名青少年的数据。“青少年饮食”项目二期(时间2)在5年后的2003 - 2004年对原队列的53%(n = 2516)进行了重新调查。使用青少年食物频率问卷评估饮食摄入量。主要结局指标/所进行的统计分析:因子分析在时间1(蔬菜、水果、淀粉类食物和零食)和时间2(蔬菜和水果、快餐、淀粉类食物和零食)确定了四种饮食模式。线性回归用于研究时间1的社会经济地位和种族(相互调整)与每种饮食模式因子得分之间的关系,然后研究时间1的社会环境特征(根据社会经济地位和种族进行调整)与这些因子得分之间的关系。
在前瞻性分析中,社会经济地位、家庭用餐频率和家中健康食物的可得性与蔬菜和水果以及淀粉类食物模式呈正相关,与快餐模式呈负相关。家中不健康食物的可得性与蔬菜和水果以及淀粉类食物模式呈负相关,与快餐和零食模式呈正相关。母亲、父亲和同伴对健康饮食的支持与蔬菜和水果模式呈正相关,与快餐模式呈负相关。横断面分析中也发现了类似的关联。
确定了饮食模式的多种相关因素。卫生专业人员应针对这些因素,通过鼓励父母减少家中不健康食物的可得性,同时增加健康食物的可得性、家庭用餐频率以及父母对健康饮食的支持,来改善青少年习惯性饮食习惯的饮食质量。