Kohli Aparna, Pandey Ravindra M, Siddhu Anupa, Reddy K Srinath
Department of Food and Nutrition, Lady Irwin College, University of Delhi, New Delhi, India.
Public Health Foundation of India, New Delhi, India.
Public Health Pract (Oxf). 2022 Sep 18;4:100317. doi: 10.1016/j.puhip.2022.100317. eCollection 2022 Dec.
Existing diet indices have gaps including neglect of the patterns of intake known to affect the final metabolic impact and use of measurement units prone to reporting error, and have applicability that is limited to specific populations. This study sought to develop a tool for diet-pattern assessment (Prudent Approach to Cardiovascular Epidemic, for Indians - Diet Quality Index (iPACE-DQI)) to reduce diet-related coronary-heart-disease (CHD) risk.
The iPACE-DQI was developed on a 0-100 points scale (higher numeric value healthier). A proof-of-concept analysis was done to examine its construct validity and relation with risk-markers.
Development of iPACE-DQI was partly guided by 'prudent diet' principles, with assessment focus on quality, quantity, and the pattern of intake. In the second part of the study, construct validity was evaluated by association of iPACE-DQI score with nutrients. Further, relationship of the score with risk-markers high-sensitivity C-reactive protein(hs-CRP), body-mass-index(BMI) and body-fat-percent was examined at single-point-in-time (baseline), and predictive ability of score change on hs-CRP change was evaluated in a proof-of-concept 12-weeks pre-post intervention, among free-living Indians (25-44years,n = 55) in an urban setting.
The iPACE-DQI consists of eight main components. Associations of iPACE-DQI score with mean daily intake of key nutrients were robust and in expected direction [total-dietary-fiber (r = 0.5, p < 0.001), crude-fiber (r = 0.6, p < 0.001), protein (r = 0.5, p < 0.001), total-fat (r = -0.4, p = 0.002), vitamin-C (r = 0.5, p < 0.001), total-carbohydrate (r = 0.3, p = 0.017)]. Trends of hs-CRP, BMI and body-fat-percent across increasing diet-pattern score showed highest degree of abnormality in lowest tertile (≤35). Logistic regression model indicated higher likelihood for hs-CRP reduction (OR: 1.6, 95% CI 0.5-4.9) among those with ≥20% increase in iPACE-DQI score as compared with <20% increase or no-increase over 12-weeks.
The iPACE-DQI is a 100-point scale that assesses diet-pattern with respect to CHD-risk. The proposed tool could be useful for researchers/health practitioners to track diet-pattern change and concomitant CHD-risk reduction.
现有的饮食指数存在缺陷,包括忽视已知会影响最终代谢影响的摄入模式,以及使用容易出现报告误差的测量单位,并且其适用性仅限于特定人群。本研究旨在开发一种饮食模式评估工具(印度人预防心血管疾病的审慎方法——饮食质量指数(iPACE-DQI)),以降低与饮食相关的冠心病(CHD)风险。
iPACE-DQI的评分范围为0至100分(数值越高越健康)。进行了一项概念验证分析,以检验其结构效度以及与风险标志物的关系。
iPACE-DQI的开发部分遵循“审慎饮食”原则,评估重点在于质量、数量和摄入模式。在研究的第二部分,通过将iPACE-DQI得分与营养素进行关联来评估结构效度。此外,在单点时间(基线)检查该得分与高敏C反应蛋白(hs-CRP)、体重指数(BMI)和体脂百分比等风险标志物的关系,并在城市环境中对自由生活的印度人(25至44岁,n = 55)进行的一项为期12周的干预前后概念验证研究中,评估得分变化对hs-CRP变化的预测能力。
iPACE-DQI由八个主要部分组成。iPACE-DQI得分与关键营养素的平均每日摄入量之间的关联很强且符合预期方向[总膳食纤维(r = 0.5,p < 0.001)、粗纤维(r = 0.6,p < 0.001)、蛋白质(r = 0.5,p < 0.001)、总脂肪(r = -0.4,p = 0.002)、维生素C(r = 0.5,p < 0.001)、总碳水化合物(r = 0.3,p = 0.017)]。随着饮食模式得分增加,hs-CRP、BMI和体脂百分比的趋势显示,在最低三分位数(≤35)中异常程度最高。逻辑回归模型表明,与12周内iPACE-DQI得分增加<20%或未增加的人相比,得分增加≥20%的人hs-CRP降低的可能性更高(OR:1.6,95%CI 0.5 - 4.9)。
iPACE-DQI是一个100分的量表,用于评估与冠心病风险相关的饮食模式。所提出的工具可能有助于研究人员/健康从业者追踪饮食模式变化以及随之而来的冠心病风险降低情况。