Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Harvard T.H. Chan School of Public Health, Boston, MA, USA.
J Nutr. 2021 Oct 23;151(12 Suppl 2):101S-109S. doi: 10.1093/jn/nxab217.
In India, there is a need to monitor population-level trends in changes in diet quality in relation to both undernutrition and noncommunicable diseases.
We conducted a study to validate a novel diet quality score in southern India.
We included data from 3041 nonpregnant women of reproductive age (15-49 years) from 2 studies in India. Diet was assessed using a validated food frequency questionnaire (FFQ). The Global Diet Quality Score (GDQS) was calculated from 25 food groups (16 healthy; 9 unhealthy), with points for each group based on the frequency and quantity of items consumed in each group. We used Spearman correlations to examine correlations between the GDQS and several nutrient intakes of concern. We examined associations between the GDQS [overall, healthy (GDQS+), and unhealthy (GDQS-) submetrics] and overall nutrient adequacy, micro- and macronutrients, body mass index (BMI), midupper arm circumference, hemoglobin, blood pressure, high density lipoprotein (HDL), and total cholesterol (TC).
The mean GDQS was 23 points (SD, 3.6; maximum, 46.5). In energy-adjusted models, positive associations were found between the overall GDQS and GDQS+ and intakes of calcium, fiber, folate, iron, monounsaturated fatty acid (MUFA), protein, polyunsaturated fatty acid (PUFA), saturated fatty acid (SFA), total fat, and zinc (ρ = 0.12-0.39; P < 0.001). Quintile analyses showed that the GDQS was associated with better nutrient adequacy. At the same time, the GDQS was associated with higher TC, lower HDL, and higher BMI. We found no associations between the GDQS and hypertension.
The GDQS was a useful tool for reflecting overall nutrient adequacy and some lipid measures. Future studies are needed to refine the GDQS for populations who consume large amounts of unhealthy foods, like refined grains, along with healthy foods included in the GDQS.
在印度,需要监测与营养不足和非传染性疾病相关的人群饮食质量变化的趋势。
我们在印度进行了一项研究,以验证一种新的饮食质量评分方法。
我们纳入了来自印度两项研究的 3041 名育龄期非孕妇(15-49 岁)的数据。饮食使用经过验证的食物频率问卷(FFQ)进行评估。全球饮食质量评分(GDQS)由 25 种食物组(16 种健康;9 种不健康)计算得出,每个组的分数基于每个组中所消耗的食物的频率和数量。我们使用 Spearman 相关系数来检验 GDQS 与几种关注营养素摄入量之间的相关性。我们研究了 GDQS(整体、健康(GDQS+)和不健康(GDQS-)亚指标)与整体营养素充足度、微量和宏量营养素、体重指数(BMI)、中上臂围、血红蛋白、血压、高密度脂蛋白(HDL)和总胆固醇(TC)之间的关系。
GDQS 的平均得分为 23 分(SD,3.6;最大值,46.5)。在能量调整模型中,整体 GDQS 和 GDQS+与钙、纤维、叶酸、铁、单不饱和脂肪酸(MUFA)、蛋白质、多不饱和脂肪酸(PUFA)、饱和脂肪酸(SFA)、总脂肪和锌的摄入量呈正相关(ρ=0.12-0.39;P<0.001)。五分位数分析表明,GDQS 与更好的营养素充足度有关。与此同时,GDQS 与较高的 TC、较低的 HDL 和较高的 BMI 有关。我们没有发现 GDQS 与高血压之间存在关联。
GDQS 是反映整体营养素充足度和一些脂质指标的有用工具。需要进一步研究来改进 GDQS,使其适用于食用大量不健康食物(如精制谷物)以及 GDQS 中包含的健康食物的人群。