Johnson Donna B, Bruemmer Barbara, Lund Anne E, Evens Carina C, Mar Corinne M
Center for Public Health Nutrition, University of Washington, Seattle, Washington 98195-3410, USA.
J Adolesc Health. 2009 Sep;45(3 Suppl):S30-7. doi: 10.1016/j.jadohealth.2009.03.008. Epub 2009 Jun 4.
To determine the associations between 1) exposure to sugar-sweetened beverages (SSB) in middle schools and student consumption of SSB during the school day; and 2) school district policies about SSB and exposure to SSB in schools.
The strength of school district SSB policies was scored on three SSB policy indicators. Student SSB consumption at school was assessed by a self-administered Beverage and Snack Questionnaire. Exposure to SSB at school was defined as the number of vending slots and SSB venues as determined on-site at each school. Multivariate analysis considered the multilevel nature of the data.
Data from 9151 students in 64 middle schools in 28 districts were used in the analysis. With schools as the unit of analysis, the proportion of students who consumed any SSB at school ranged from 19.2% to 79.8%. SSB exposure was a significant predictor of SSB consumption (beta=.157, p < .001). SSB consumption was not significantly associated with the size of the school, the racial or ethnic composition of the school's students, or the proportion of students eligible for free and reduced price meals. District SSB policy scores ranged from 0 to 6 with a mean score of 3.25 (+/-2.15). District SSB policy was a significant predictor of SSB exposure (beta=-9.50, p < .0002).
School district SSB policies and exposure to SSB in middle schools are associated with student SSB consumption. Interventions to improve policies and their implementation may offer opportunities to improve the diets of adolescents.
确定1）中学中含糖饮料（SSB）的供应情况与学生在校期间SSB的消费量之间的关联；以及2）学区关于SSB的政策与学校中SSB的供应情况之间的关联。
根据三项SSB政策指标对学区SSB政策的力度进行评分。通过一份自我管理的饮料和零食问卷来评估学生在学校的SSB消费量。学校中SSB的供应情况定义为每所学校现场确定的自动售货机插槽数量和SSB销售场所数量。多变量分析考虑了数据的多层次性质。
分析使用了来自28个学区64所中学的9151名学生的数据。以学校为分析单位，在校消费任何SSB的学生比例在19.2%至79.8%之间。SSB的供应情况是SSB消费的一个显著预测因素（β=0.157，p<0.001）。SSB消费与学校规模、学校学生的种族或族裔构成，或符合免费和减价餐资格的学生比例均无显著关联。学区SSB政策得分从0到6，平均分为3.25（±2.15）。学区SSB政策是SSB供应情况的一个显著预测因素（β=-9.50，p<0.0002）。
学区SSB政策和中学中SSB的供应情况与学生的SSB消费有关。改善政策及其实施的干预措施可能为改善青少年的饮食提供机会。
