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与各种人体测量学指标相关的营养丰富的食物。

Nutrient-rich foods in relation to various measures of anthropometry.

机构信息

Division of Human Nutrition, Wageningen University, part of Wageningen UR, Wageningen, The Netherlands.

出版信息

Fam Pract. 2012 Apr;29 Suppl 1:i36-43. doi: 10.1093/fampra/cmr093.

Abstract

BACKGROUND

Nutrient quality systems, for example the nutrient-rich foods (NRF) index, measure the nutrient quality of individual foods and may be used to assess the nutrient density of the overall diet. It is not yet known whether the NRF index is helpful in weight management. We hypothesize that a nutrient-dense diet is associated with a lower body weight and waist circumference.

OBJECTIVE

The objective of the present study was to examine the association between the NRF index and various measures of anthropometry.

METHODS

This study was carried out in a sample of 2044 men and 2925 women, aged ≥55 years, participating in a community-based prospective cohort study in Rotterdam, The Netherlands. The NRF9.3 algorithms were used to estimate the nutrient density of the subjects' diets. Linear regression was used to examine the association between the NRF index scores and body mass index (BMI), body weight, waist circumference, wait-to-hip ratio and waist-to-height ratio.

RESULTS

Subjects with a high NRF9.3 index score had a lower energy intake (EI) as compared to those with low NRF9.3 index score. However, after adjustment for age, gender and other confounders, the NRF9.3 index score as well as the Nutrient Rich 9 index score were positively associated with BMI, body weight, waist circumference and waist-to-height ratio.

CONCLUSIONS

Although subjects with a high NRF9.3 index score had a lower EI than those subjects with a low index score, their BMI, body weight, waist circumference and waist-to-height ratio was higher. The association between nutrient quality and body composition is therefore complex.

摘要

背景

营养质量体系,例如富含营养的食物(NRF)指数,衡量个别食物的营养质量,可用于评估整体饮食的营养密度。目前尚不清楚 NRF 指数是否有助于体重管理。我们假设营养密集型饮食与较低的体重和腰围有关。

目的

本研究旨在探讨 NRF 指数与各种人体测量学指标之间的关系。

方法

本研究在荷兰鹿特丹一个年龄≥55 岁的社区为基础的前瞻性队列研究的 2044 名男性和 2925 名女性样本中进行。使用 NRF9.3 算法来估计受试者饮食的营养密度。线性回归用于检查 NRF 指数得分与体重指数(BMI)、体重、腰围、腰臀比和腰高比之间的关系。

结果

与 NRF9.3 指数得分低的受试者相比,NRF9.3 指数得分高的受试者的能量摄入(EI)较低。然而,在校正年龄、性别和其他混杂因素后,NRF9.3 指数得分以及营养丰富 9 指数得分与 BMI、体重、腰围和腰高比呈正相关。

结论

尽管 NRF9.3 指数得分高的受试者的 EI 低于指数得分低的受试者,但他们的 BMI、体重、腰围和腰高比更高。因此,营养质量与身体成分之间的关系很复杂。

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