膳食模式和类胡萝卜素摄入量:MIND、地中海、DASH 和健康饮食指数的比较

IF 3.4 3区 医学 Q2 NUTRITION & DIETETICS
Tori A. Holthaus , Shelby A. Keye , Shreya Verma , Corinne N. Cannavale , Nicholas A. Burd , Hannah D. Holscher , Naiman A. Khan
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引用次数: 0

摘要

地中海-高血压饮食疗法(DASH)干预神经退行性延迟(MIND)饮食模式与认知能力下降和痴呆症风险降低有关。然而,MIND 与其他饮食模式不同的营养特征尚不清楚。我们研究了相对于地中海、DASH 和健康饮食指数 (HEI-2020) 而言,MIND 饮食模式与类胡萝卜素摄入量(假设可提供神经保护的植物营养素)之间的关系。我们假设,与其他饮食指数相比,MIND 饮食标准对类胡萝卜素摄入量的预测作用更强。共有 396 名成人(19-82 岁)填写了膳食史调查问卷,以评估类胡萝卜素的摄入量和对每种膳食指数的依从性。通过调整协变量的逐步回归和孟氏 Z 检验来比较每种饮食模式与类胡萝卜素之间的相关性。所有饮食模式都与叶黄素和玉米黄质、β-胡萝卜素、α-胡萝卜素和β-隐黄素呈正相关(所有βs≥0.38,Ps <.01)。效应大小比较显示,相对于地中海模式、DASH 模式和 HEI-2020 模式,MIND 模式可预测叶黄素和玉米黄质(所有 Zs 均≥3.3,Ps <.001)和β-胡萝卜素(所有 Zs 均≥2.6,Ps <.01)的更大变异比例。相对于 HEI-2020,MIND 饮食法对 α-胡萝卜素(Z = 3.8,P < .001)和 β-隐黄素(Z = 3.6,P < .001)方差的解释比例更大。MIND膳食标准与类胡萝卜素的摄入量不成比例,这表明与其他膳食指数相比,MIND指数更重视富含类胡萝卜素的食物,尤其是含有叶黄素、玉米黄质和β-胡萝卜素的食物。未来的研究需要明确这些类胡萝卜素在认知健康营养干预中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dietary patterns and carotenoid intake: Comparisons of MIND, Mediterranean, DASH, and Healthy Eating Index

Dietary patterns and carotenoid intake: Comparisons of MIND, Mediterranean, DASH, and Healthy Eating Index

The Mediterranean-Dietary Approaches to Stop Hypertension (DASH) Intervention for Neurodegenerative Delay (MIND) dietary pattern is associated with reduced cognitive decline and dementia risk. However, the nutrient features that distinguish the MIND from other patterns are unknown. We investigated the relationship between accordance to the MIND pattern and carotenoid intake (phytonutrients hypothesized to confer neuroprotection) relative to the Mediterranean, DASH, and Healthy Eating Index (HEI-2020). We hypothesized that MIND diet accordance would be a stronger predictor of carotenoid intake relative to other diet indices. A total of 396 adults (aged 19–82 years) completed the Dietary History Questionnaire to assess carotenoid intake and adherence to each diet index. Stepwise regressions with adjustment for covariates followed by the Meng's Z-test were used to compare correlation strength between each diet pattern and carotenoid. All diet patterns were positively associated with lutein and zeaxanthin, β-carotene, α-carotene, and β-cryptoxanthin (all βs ≥0.38, Ps <.01). Effect size comparisons revealed that MIND accordance predicted a greater proportion of variance in lutein and zeaxanthin (all Zs ≥ 3.3, Ps < .001) and β-carotene (all Zs ≥ 2.6, Ps < .01) relative to the Mediterranean, DASH, and HEI-2020. MIND accordance explained a greater proportion of variance in α-carotene (Z = 3.8, P < .001) and β-cryptoxanthin (Z = 3.6, P < .001) relative to the HEI-2020. MIND diet accordance was disproportionately related to carotenoid intake, indicating the MIND index places greater emphasis on carotenoid-rich foods, particularly those containing lutein, zeaxanthin, and β-carotene, relative to other diet indices. Future research is needed to define the role of these carotenoids in nutritional interventions for cognitive health.

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来源期刊
Nutrition Research
Nutrition Research 医学-营养学
CiteScore
7.60
自引率
2.20%
发文量
107
审稿时长
58 days
期刊介绍: Nutrition Research publishes original research articles, communications, and reviews on basic and applied nutrition. The mission of Nutrition Research is to serve as the journal for global communication of nutrition and life sciences research on diet and health. The field of nutrition sciences includes, but is not limited to, the study of nutrients during growth, reproduction, aging, health, and disease. Articles covering basic and applied research on all aspects of nutrition sciences are encouraged, including: nutritional biochemistry and metabolism; metabolomics, nutrient gene interactions; nutrient requirements for health; nutrition and disease; digestion and absorption; nutritional anthropology; epidemiology; the influence of socioeconomic and cultural factors on nutrition of the individual and the community; the impact of nutrient intake on disease response and behavior; the consequences of nutritional deficiency on growth and development, endocrine and nervous systems, and immunity; nutrition and gut microbiota; food intolerance and allergy; nutrient drug interactions; nutrition and aging; nutrition and cancer; obesity; diabetes; and intervention programs.
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