Turku Institute for Child and Youth Research, Turku, Finland.
Scand J Public Health. 2010 Dec;38(8):794-802. doi: 10.1177/1403494810382476. Epub 2010 Sep 16.
To construct and validate a self-contained index for the evaluation of a health-promoting diet in adults.
Participants (n = 103) were healthy volunteer adults aged 20 to 64 years. A food consumption questionnaire containing 55 questions was formulated and evaluated against seven-day food records. Key questions best reflecting the health-promoting diet, defined in nutrition recommendations, were identified by correlation and ROC analyses in comparison to calculated food and nutrient intakes from the food records. A shorter questionnaire was scored to compile an Index of Diet Quality (IDQ).
Based on ROC analyses 18 questions were sufficient to describe the health-promoting diet and comprised the index. IDQ had a sensitivity of 67% and a specificity of 71%. The IDQ score reflected dietary intake, shown as statistically significant correlations between higher IDQ scores and higher intakes of protein (r = 0.35), fibre (r = 0.42), calcium (r = 0.39), iron (r = 0.31), vitamin C (r = 0.31) and a higher ratio of unsaturated to saturated fatty acids (r = 0.23) and a lower intake of saturated fatty acids (r = -0.22) and saccharose (r = -0.25).
IDQ reflects dietary intake of key foods and nutrients associated with health and depicts adherence to dietary recommendations. It is applicable in nutritional studies where diet in its entirety is of interest and also in large-scale studies, being fast in execution with analysis free of complex calculations.
构建并验证一个综合性指标,用于评估成年人的促进健康饮食。
参与者(n=103)为年龄在 20 至 64 岁之间的健康成年志愿者。制定了一份包含 55 个问题的食物消费问卷,并与七天的食物记录进行了评估。通过与食物记录中计算出的食物和营养素摄入量进行相关性和 ROC 分析,确定了最能反映营养建议中促进健康饮食的关键问题。然后通过较短的问卷进行评分,编制饮食质量指数(IDQ)。
基于 ROC 分析,有 18 个问题足以描述促进健康的饮食,并构成了该指数。IDQ 的灵敏度为 67%,特异性为 71%。IDQ 评分反映了饮食摄入,较高的 IDQ 评分与较高的蛋白质(r=0.35)、纤维(r=0.42)、钙(r=0.39)、铁(r=0.31)、维生素 C(r=0.31)摄入以及较高的不饱和与饱和脂肪酸比例(r=0.23)和较低的饱和脂肪酸(r=-0.22)和蔗糖(r=-0.25)摄入呈统计学显著相关性。
IDQ 反映了与健康相关的关键食物和营养素的饮食摄入情况,并描绘了对饮食建议的遵守情况。它适用于营养研究中对整体饮食感兴趣的情况,也适用于大规模研究,执行速度快,分析无需复杂计算。