4.3 Article

Development and evaluation of the Dutch Healthy Diet index 2015

期刊

PUBLIC HEALTH NUTRITION
卷 20, 期 13, 页码 2289-2299

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S136898001700091X

关键词

Dietary guidelines; Dietary patterns; The Netherlands; Dutch Healthy Diet; Index

向作者/读者索取更多资源

Objective: To update the Dutch Healthy Diet index, a measure of diet quality, to reflect adherence to the Dutch dietary guidelines 2015 and to evaluate against participants' characteristics and nutrient intakes with the score based on 24 h recall (24 hR) data and FFQ data. Design: The Dutch Healthy Diet index 2015 (DHD15-index) consists of fifteen components representing the fifteen food-based Dutch dietary guidelines of 2015. Per component the score ranges between 0 and 10, resulting in a total score between 0 (no adherence) and 150 (complete adherence). Setting: Wageningen area, the Netherlands, 2011-2013. Subjects: Data of 885 men and women, aged 20-70 years, participating in the longitudinal NQplus study, who filled out two 24 hR and one FFQ, were used. Results: Mean (SD) score of the DHD15-index was 68.7 (16.1) for men and 79.4 (16.0) for women. Significant inverse trends were found between the DHD15-index and BMI, smoking, and intakes of energy, total fat and saturated fat. Positive trends were seen across sex-specific quintiles of the DHD15-index score with energy-adjusted micronutrient intakes. Mean DHD15-index score of the FFQ data was 15.5 points higher compared with 24 hR data, with a correlation coefficient of 0.56 between the scores. Observed trends of the DHD15-index based on FFQ with participant characteristics, macronutrient and energy-adjusted micronutrient intakes were similar to those with the DHD15-index based on 24 hR. Conclusions: The DHD15-index score assesses adherence to the Dutch dietary guidelines 2015 and indicates diet quality. The DHD15-index score can be based on 24 hR data and on FFQ data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据