Hemiö Katri, Pölönen Auli, Ahonen Kirsti, Kosola Mikko, Viitasalo Katriina, Lindström Jaana
Department of Chronic Disease Prevention, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland.
The Prevention Project of Diabetes and Cardiovascular Diseases, Pirkanmaa Hospital District, P.O. Box 2000, FI-33521 Tampere, Finland.
Int J Environ Res Public Health. 2014 Mar 4;11(3):2683-97. doi: 10.3390/ijerph110302683.
Our aim was to validate a 16-item food intake questionnaire (16-FIQ) and create an easy to use method to estimate patients' nutrient intake in primary health care. Participants (52 men, 25 women) completed a 7-day food record and a 16-FIQ. Food and nutrient intakes were calculated and compared using Spearman correlation. Further, nutrient intakes were compared using kappa-statistics and exact and opposite agreement of intake tertiles. The results indicated that the 16-FIQ reliably categorized individuals according to their nutrient intakes. Methods to estimate nutrient intake based on the answers given in 16-FIQ were created. In linear regression models nutrient intake estimates from the food records were used as the dependent variables and sum variables derived from the 16-FIQ were used as the independent variables. Valid regression models were created for the energy proportion of fat, saturated fat, and sucrose and the amount of fibre (g), vitamin C (mg), iron (mg), and vitamin D (μg) intake. The 16-FIQ is a valid method for estimating nutrient intakes in group level. In addition, the 16-FIQ could be a useful tool to facilitate identification of people in need of dietary counselling and to monitor the effect of counselling in primary health care.
我们的目标是验证一份包含16个条目的食物摄入量调查问卷(16-FIQ),并创建一种易于使用的方法来估算初级卫生保健中患者的营养素摄入量。参与者(52名男性,25名女性)完成了一份为期7天的食物记录和一份16-FIQ问卷。使用Spearman相关性分析计算并比较食物和营养素摄入量。此外,使用kappa统计量以及摄入量三分位数的完全相反一致性来比较营养素摄入量。结果表明,16-FIQ能够根据个体的营养素摄入量进行可靠分类。基于16-FIQ给出的答案创建了估算营养素摄入量的方法。在线性回归模型中,将食物记录中的营养素摄入量估算值用作因变量,将从16-FIQ得出的总和变量用作自变量。针对脂肪、饱和脂肪和蔗糖的能量比例以及纤维(克)、维生素C(毫克)、铁(毫克)和维生素D(微克)的摄入量创建了有效的回归模型。16-FIQ是在群体层面估算营养素摄入量的有效方法。此外,16-FIQ可能是一种有用的工具,有助于在初级卫生保健中识别需要饮食咨询的人群,并监测咨询效果。