Watts Allison W, Miller Jon, Larson Nicole I, Eisenberg Marla E, Story Mary T, Neumark-Sztainer Dianne
Division of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA.
Division of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA.
Eat Behav. 2018 Aug;30:42-48. doi: 10.1016/j.eatbeh.2018.04.003. Epub 2018 May 1.
To examine personal, home, peer, school, neighborhood, and media correlates of sugar-sweetened beverage (SSB) intake in a diverse sample of adolescents.
Cross-sectional, population-based study (EAT 2010: Eating and Activity in Teens) of 2793 adolescents (54% female, mean age [SD] = 14.5 [2.0], 80% nonwhite) attending public secondary schools in Minneapolis-St. Paul, Minnesota. Adolescents completed a food frequency questionnaire and answered survey questions about their diet/health perceptions and behaviors. Socio-environmental data were collected from parents/caregivers, peers, school personnel, Geographic Information Systems (e.g., distance to food outlet), and a content analysis of favorite TV shows. Individual and mutually adjusted mixed-effects regression models examined associations between multi-contextual factors and estimated daily servings of SSB, controlling for relevant covariates.
The contextual factors examined accounted for 24% of the variance in adolescents' SSB consumption. The proportion of variance explained by each context was 13% personal, 16% home/family, 3% peer, 1% school, 0.1% media, and 0% neighborhood. The strongest correlate of SSB intake was home soda availability (adjusted for covariates: β = 0.26, p < 0.01; adjusted for all multi-contextual factors: β = 0.18, p < 0.01). Other significant correlates of SSB intake included personal behaviors (e.g., fast food intake, sleep), home/family factors (e.g., parent modeling) and peer influences (e.g., friends' SSB intake).
Public health policies and programs to reduce adolescent SSB intake should target personal behaviors (e.g., limit fast food, encourage adequate sleep), address the home setting (e.g., help parents to reduce SSB availability and model healthy eating habits) and involve peers (e.g., identify and enable peers to model healthy eating behaviors).
在一个多样化的青少年样本中,研究与含糖饮料(SSB)摄入量相关的个人、家庭、同伴、学校、社区及媒体因素。
基于人群的横断面研究(EAT 2010:青少年的饮食与活动),对明尼苏达州明尼阿波利斯-圣保罗市公立中学的2793名青少年(54%为女性,平均年龄[标准差]=14.5[2.0],80%为非白人)进行了调查。青少年完成了一份食物频率问卷,并回答了有关他们饮食/健康认知及行为的调查问题。社会环境数据从父母/照顾者、同伴、学校工作人员处收集,利用地理信息系统(如到食品店的距离),并对青少年最喜欢的电视节目进行内容分析。个体和相互调整的混合效应回归模型检验了多背景因素与估计的每日SSB摄入量之间的关联,并控制了相关协变量。
所研究的背景因素占青少年SSB消费差异的24%。每个背景因素所解释的差异比例分别为:个人因素占13%,家庭/家庭因素占16%,同伴因素占3%,学校因素占1%,媒体因素占0.1%,社区因素占0%。与SSB摄入量相关性最强的是家中汽水的可获得性(调整协变量后:β=0.26,p<0.01;调整所有多背景因素后:β=0.18,p<0.01)。与SSB摄入量其他显著相关的因素包括个人行为(如快餐摄入量、睡眠时间)、家庭/家庭因素(如父母的行为示范)和同伴影响(如朋友的SSB摄入量)。
旨在减少青少年SSB摄入量的公共卫生政策和项目应针对个人行为(如限制快餐、鼓励充足睡眠),改善家庭环境(如帮助父母减少SSB的可获得性并树立健康的饮食习惯),并借助同伴的力量(如识别并促使同伴树立健康的饮食行为)。