Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study
Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study
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DOI：
10.1136/jech.53.1.55
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发表时间：
1999-01-01
影响因子：
6.3
通讯作者：
Szklo, M
中科院分区：
文献类型：
--
作者：
Diez-Roux, AV;Nieto, FJ;Szklo, M
研究目的-调查邻里特征是否与饮食模式有关，而不受个人水平变量的影响。设计-在调整个人水平变量之前和之后，对邻里家庭收入中位数与食物和营养素摄入量之间的关系进行横截面分析。设置-美国四个社区（马里兰州华盛顿公司;明尼苏达州明尼阿波利斯郊区;福赛斯公司，NC和杰克逊，MS）。参与者-13095名年龄在45至64岁的成年人参与社区动脉粥样硬化风险（ARIC）研究的基线检查，一项动脉粥样硬化的前瞻性研究。2测量和主要结果--饮食和个人收入水平的信息从ARIC研究的基线检查中获得。使用半定量食物频率问卷对饮食进行评估。关于邻里（人口普查定义的街区组）家庭收入中位数的信息来自1990年美国人口普查。多层次模型用于解释数据的多层次结构。生活在低收入社区通常与水果，蔬菜，鱼类的能量调整摄入量减少和肉类摄入量增加有关。在调整个人收入水平后，这种模式通常持续存在，但往往没有统计意义。饱和脂肪、多不饱和脂肪和胆固醇的摄入量记录了不一致的关联。总体而言，个人水平的收入是一个更一致的预测饮食比邻里income. Conclusion，尽管在定义和表征的邻里关系的局限性，本研究发现一致的（虽然小）的差异，在整个社区的食物摄入量，这表明更深入的研究潜在的邻里水平的饮食决定因素是必要的。
Study objective-To investigate whether neighbourhood characteristics are related to dietary patterns independently of individual level variables.Design-A cross sectional analysis of the relation between neighbourhood median household income and food and nutrient intakes, before and after adjustment for individual level variables.Setting-Four United States communities (Washington Co, MD; Suburban Minneapolis, MN; Forsyth Co, NC, and Jackson, MS).Participants-13 095 adults aged 45 to 64 years participating in the baseline examination of the Atherosclerosis Risk in Communities (ARIC) Study, a prospective study of atherosclerosis.Measurements and main results- Information on diet and individual level income was obtained from the baseline examination of the ARIC Study. Diet was assessed using a semi-quantitative food frequency questionnaire. Information on neighbourhood (census defined block groups) median household income was obtained from the 1990 US Census. Multilevel models were used to account for the multilevel structure of the data. Living in lower income neighbourhoods was generally associated with decreased energy adjusted intake of fruits, vegetables, fish, and increased intake of meat. Patterns generally persisted after adjustment for individual level income, but were often not statistically significant. Inconsistent associations were recorded for the intake of saturated fat, polyunsaturated fat, and cholesterol. Overall, individual level income was a more consistent predictor of diet than neighbourhood income.Conclusion-Despite limitations in the definition and characterisation of neighbourhoods, this study found consistent (albeit small) differences across neighbourhoods in food intake, suggesting that more in depth research into potential neighbourhood level determinants of diet is warranted.