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探讨跨学科干预试验中的饮食变化:饮食指南食物成分数据库的应用。

Exploring dietary changes in an interdisciplinary intervention trial: Application of a dietary guidelines food composition database.

机构信息

School of Medicine, Science Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.

Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia.

出版信息

J Hum Nutr Diet. 2021 Apr;34(2):265-272. doi: 10.1111/jhn.12790. Epub 2020 Jul 29.

DOI:10.1111/jhn.12790
PMID:32725838
Abstract

BACKGROUND

Consumption of food groups aligning with dietary guidelines is advised for obesity management and was used in a recent lifestyle intervention trial, the Health Track study. We have conducted a number of dietary pattern analyses on this trial but, with recent access to the new Australian Dietary Guidelines (ADG) food composition database, we can now assess ADG adherence, with the advantage of categorising mixed dishes. The present study aimed to compare changes over time in consumption of ADG food groups.

METHODS

Secondary analysis of baseline and three-month diet history data was conducted. Participants received individualised dietary advice (I), individualised dietary advice plus 30 g of walnuts per day (IW) or usual care (C). The ADG database was used to determine food group servings with changes in five food groups used as a measure of dietary quality.

RESULTS

Fruit and vegetable intakes increased in the IW (+0.4 and +1.1 serves, P < 0.05) and I (+0.5 and +0.4 serves, P > 0.05) arms. Consumption of meat/protein foods increased in the IW arm (+0.3 serves, P > 0.05) but decreased in the I and C arms (both - 0.4 serves, P < 0.05). Consumption of grains and milk/alternatives decreased in all study arms (P < 0.05). Greater improvements in grain and dairy food quality were observed in the intervention arms.

CONCLUSIONS

The ADG database enabled ADG specific food group analysis, addressed food quality and showed the HealthTrack intervention increased adherence to dietary guidelines compared to usual care.

摘要

背景

为了管理肥胖,建议食用符合饮食指南的食物组,这一建议在最近的一项生活方式干预试验——健康追踪研究中得到了应用。我们已经对该试验进行了多项饮食模式分析,但由于最近获得了新的澳大利亚饮食指南(ADG)食物成分数据库,我们现在可以评估 ADG 的依从性,并且具有对混合菜肴进行分类的优势。本研究旨在比较 ADG 食物组随时间的变化。

方法

对基线和三个月的饮食史数据进行二次分析。参与者接受个体化饮食建议(I)、每天 30 克核桃的个体化饮食建议加(IW)或常规护理(C)。使用 ADG 数据库确定食物组的份量,将五种食物组的变化作为衡量饮食质量的指标。

结果

IW(+0.4 和 +1.1 份,P < 0.05)和 I(+0.5 和 +0.4 份,P > 0.05)组的水果和蔬菜摄入量增加。IW 组的肉/蛋白质食物摄入量增加(+0.3 份,P > 0.05),但 I 和 C 组的摄入量减少(均为-0.4 份,P < 0.05)。所有研究组的谷物和牛奶/替代品的摄入量均减少(P < 0.05)。干预组的谷物和奶制品质量得到了更大的改善。

结论

ADG 数据库能够进行 ADG 特定的食物组分析,解决了食物质量问题,并表明与常规护理相比,健康追踪干预增加了对饮食指南的依从性。

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