University of Washington, Seattle, WA 98195, USA.
J Epidemiol Community Health. 2012 Jun;66(6):530-5. doi: 10.1136/jech.2010.122333. Epub 2010 Dec 10.
Socio-economic disparities in nutrition are well documented. This study tested the hypothesis that socio-economic differences in nutrient intakes can be accounted for, in part, by diet cost.
A representative sample of 1295 adults in King County (WA) was surveyed in 2008-2009, and usual dietary intakes were assessed based on a food-frequency questionnaire. The monetary value of individual diets was estimated using local retail supermarket prices for 384 foods. Nutrients of concern as identified by the 2005 Dietary Guidelines Advisory Committee were fibre, vitamins A, C and E, calcium, magnesium and potassium. A nutrient density score based on all seven nutrients was another dependent measure. General linear models and linear regressions were used to examine associations among education and income, nutrient density measure and diet cost. Analyses were conducted in 2009-2010.
Controlling for energy and other covariates, higher-cost diets were significantly higher in all seven nutrients and in overall nutrient density. Higher education and income were positively and significantly associated with the nutrient density measure, but these effects were greatly attenuated with the inclusion of the cost variable in the model.
Socio-economic differences in nutrient intake can be substantially explained by the monetary cost of the diet. The higher cost of more nutritious diets may contribute to socio-economic disparities in health and should be taken into account in the formulation of nutrition and public health policy.
营养方面的社会经济差异已有充分记录。本研究检验了这样一个假设,即营养摄入量的社会经济差异可以部分归因于饮食成本。
2008-2009 年,对金县(华盛顿州)的 1295 名成年人进行了代表性调查,并根据食物频率问卷评估了他们的日常饮食摄入量。使用当地零售超市的价格估算了个人饮食的货币价值,涉及 384 种食物。根据 2005 年膳食指南咨询委员会确定的七个营养素作为关注营养素,包括纤维、维生素 A、C 和 E、钙、镁和钾。基于所有七种营养素的营养素密度评分是另一个因变量。使用一般线性模型和线性回归来研究教育和收入、营养素密度指标和饮食成本之间的关系。分析于 2009-2010 年进行。
在控制能量和其他协变量的情况下,高成本饮食在所有七种营养素和整体营养素密度方面都显著更高。较高的教育程度和收入与营养素密度指标呈正相关且显著相关,但随着模型中包含成本变量,这些影响大大减弱。
饮食的货币成本可以在很大程度上解释营养摄入的社会经济差异。营养更丰富的饮食成本较高,可能导致健康方面的社会经济差异,因此在制定营养和公共卫生政策时应予以考虑。