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营养质量指数与慢性病风险的关系。

The association between a nutritional quality index and risk of chronic disease.

机构信息

Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA.

出版信息

Am J Prev Med. 2011 May;40(5):505-13. doi: 10.1016/j.amepre.2010.11.022.

Abstract

BACKGROUND

The Overall Nutritional Quality Index (ONQI) algorithm is a nutrient profiling scheme that incorporates more than 30 dietary components, and it aims to rank foods by relative healthfulness.

PURPOSE

To assess whether diets with a higher ONQI score predict lower risk of major chronic disease risk.

METHODS

A total of 62,284 healthy women from the Nurses' Health Study and 42,382 healthy men from Health Professionals Follow-Up Study were followed from 1986 to 2006. Dietary data were collected from questionnaires at baseline. Each food was scored by the ONQI algorithm and the average ONQI score for the diet consumed by each participant was computed. Total chronic disease was defined as cardiovascular disease (CVD); cancer; diabetes; and nontrauma death. Data analysis was conducted in 2010.

RESULTS

A total of 20,004 and 13,520 chronic disease events were documented in women and men, respectively. The ONQI score was inversely associated with risk of total chronic disease, CVD, diabetes, and all-cause mortality (p-trend≤0.01), but not cancer, in both cohorts. Women in the highest compared to lowest quintile of the ONQI score had a relative risk (95% CI) of 0.91 (0.87, 0.95) for chronic disease; 0.79 (0.71, 0.88) for CVD; 0.86 (0.78, 0.96) for diabetes; and 0.90 (0.84, 0.97) for all-cause mortality. Men in the highest compared to lowest quintile of the ONQI score had a relative risk of 0.88 (0.83, 0.93) for chronic disease; 0.77 (0.70, 0.85) for CVD; 0.84 (0.73, 0.96) for diabetes; and 0.89 (0.83, 0.97) for all-cause mortality.

CONCLUSIONS

Consumption of foods that lead to a higher score for the ONQI scoring system is associated with modestly lower risk of chronic disease and all-cause mortality.

摘要

背景

整体营养质量指数(ONQI)算法是一种营养成分分析方案,它包含了 30 多种饮食成分,旨在根据相对健康程度对食物进行排名。

目的

评估具有更高 ONQI 评分的饮食是否可以降低主要慢性疾病的风险。

方法

共有 62284 名来自护士健康研究的健康女性和 42382 名来自健康专业人员随访研究的健康男性从 1986 年到 2006 年进行了随访。在基线时通过问卷收集饮食数据。每个食物都根据 ONQI 算法进行评分,计算每位参与者所摄入饮食的平均 ONQI 评分。总慢性疾病定义为心血管疾病(CVD);癌症;糖尿病;和非创伤性死亡。数据分析于 2010 年进行。

结果

在女性和男性中,分别记录了 20004 例和 13520 例慢性疾病事件。ONQI 评分与总慢性疾病、CVD、糖尿病和全因死亡率呈负相关(p 趋势≤0.01),但在两个队列中均与癌症无关。与最低 ONQI 评分五分位数相比,最高 ONQI 评分五分位数的女性患慢性疾病的相对风险(95%CI)为 0.91(0.87,0.95);0.79(0.71,0.88)为 CVD;0.86(0.78,0.96)为糖尿病;0.90(0.84,0.97)为全因死亡率。与最低 ONQI 评分五分位数相比,最高 ONQI 评分五分位数的男性患慢性疾病的相对风险为 0.88(0.83,0.93);0.77(0.70,0.85)为 CVD;0.84(0.73,0.96)为糖尿病;0.89(0.83,0.97)为全因死亡率。

结论

摄入导致 ONQI 评分系统得分较高的食物与慢性疾病和全因死亡率的风险略有降低相关。

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6
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