Granado F, Olmedilla B, Blanco I, Gil-Martínez E, Rojas-Hidalgo E
Servicio de Nutrición, Clínica Puerta de Hierro, Madrid, Spain.
Crit Rev Food Sci Nutr. 1997 Nov;37(7):621-33. doi: 10.1080/10408399709527792.
The availability of reliable information on food composition is essential both for the evaluation of diet and for nutritional research to relate diet to health or disease. In this article, we compare the total and individual carotenoid contents and the retinol equivalents in fruits and vegetables reported in several food composition tables and HPLC studies. The impact of the variability in carotenoid intake was evaluated on the basis of Spanish National Consumption Statistics and on the values for a standard diet. We identify, from a user's point of view, errors concerning identification of the items and the terms used to refer to the compounds. Food composition tables overestimate (by 2 to 48%) the retinol equivalent intake, whereas they underestimate (by 30 to 50%) the total carotenoid intake according to HPLC data. We study the effect of these main sources of error, their impact on dietary assessment and on the classification of relevant contributors, and the possible consequences with respect to proper diet in terms of nutritional assessment and epidemiological studies. Given the different dietary habits among populations and the fact that certain items may be over- or underestimated in databases, the use of a single database may be misleading as to the rate of carotenoid consumption and the "true" nutrient intake in a given population, thus weakening the reliability of the study and resulting in erroneous conclusions.
获取可靠的食物成分信息对于评估饮食以及开展将饮食与健康或疾病相关联的营养研究都至关重要。在本文中,我们比较了几份食物成分表和高效液相色谱(HPLC)研究报告中水果和蔬菜的总类胡萝卜素含量、单个类胡萝卜素含量以及视黄醇当量。基于西班牙国家消费统计数据和标准饮食值,评估了类胡萝卜素摄入量变化的影响。我们从用户角度识别了有关项目识别以及用于指代化合物的术语方面的错误。根据HPLC数据,食物成分表高估了视黄醇当量摄入量(高估2%至48%),而低估了总类胡萝卜素摄入量(低估30%至50%)。我们研究了这些主要误差来源的影响、它们对饮食评估以及相关贡献因素分类的影响,以及在营养评估和流行病学研究方面对合理饮食可能产生的后果。鉴于不同人群的饮食习惯不同,以及某些项目在数据库中可能被高估或低估这一事实,使用单一数据库对于特定人群的类胡萝卜素消费率和“真实”营养素摄入量可能会产生误导,从而削弱研究的可靠性并导致错误结论。