Suppr超能文献

超加工食品消费与不良脑健康结局之间的关联。

Associations Between Ultra-Processed Food Consumption and Adverse Brain Health Outcomes.

作者信息

Bhave Varun M, Oladele Carol R, Ament Zsuzsanna, Kijpaisalratana Naruchorn, Jones Alana C, Couch Catharine A, Patki Amit, Garcia Guarniz Ana-Lucia, Bennett Aleena, Crowe Michael, Irvin Marguerite R, Kimberly W Taylor

机构信息

From the Harvard Medical School (V.M.B., W.T.K.), Boston, MA; Equity Research and Innovation Center (C.R.O.), Yale School of Medicine, New Haven, CT; Center for Genomic Medicine (Z.A., N.K., W.T.K.) and Department of Neurology (Z.A., N.K., A.-L.G.G., W.T.K.), Massachusetts General Hospital, Boston; Division of Neurology (N.K.), Department of Medicine and Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Departments of Epidemiology (A.C.J., C.A.C., A.P., M.R.I.) and Biostatistics (A.B.), School of Public Health, and Department of Psychology (M.C.), University of Alabama at Birmingham.

出版信息

Neurology. 2024 Jun 11;102(11):e209432. doi: 10.1212/WNL.0000000000209432. Epub 2024 May 22.

Abstract

BACKGROUND AND OBJECTIVES

Ultra-processed foods (UPFs) are linked to cardiometabolic diseases and neurologic outcomes, such as cognitive decline and stroke. However, it is unclear whether food processing confers neurologic risk independent of dietary pattern information. We aimed to (1) investigate associations between UPFs and incident cognitive impairment and stroke and (2) compare these associations with other commonly recommended dietary patterns in the REasons for Geographic and Racial Differences in Stroke study. This prospective, observational cohort study enrolled Black and White adults in the United States from 2003 to 2007.

METHODS

The NOVA system was used to categorize items from a baseline food frequency questionnaire according to the level of processing. Participants with incomplete or implausible self-reported dietary data were excluded. Consumption for each category (grams) was normalized to total grams consumed. Scores quantifying adherence to a Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet were also calculated. Incident cognitive impairment was defined using performance relative to a normative sample on memory and fluency assessments. Incident stroke was identified through adjudicated review of medical records.

RESULTS

The cognitive impairment cohort (n = 14,175) included participants without evidence of impairment at baseline who underwent follow-up testing. The stroke cohort (n = 20,243) included participants without a history of stroke. In multivariable Cox proportional hazards models, a 10% increase in relative intake of UPFs was associated with higher risk of cognitive impairment (hazard ratio [HR] = 1.16, 95% CI 1.09-1.24, = 1.01 × 10) and intake of unprocessed or minimally processed foods with lower risk of cognitive impairment (HR = 0.88, 95% CI 0.83-0.94, = 1.83 × 10). Greater intake of UPFs (HR = 1.08, 95% CI 1.02-1.14, = 1.12 × 10) and unprocessed or minimally processed foods (HR = 0.91, 95% CI 0.86-0.95, = 2.13 × 10) were also associated with risk of stroke in multivariable Cox models. The effect of UPFs on stroke risk was greater among Black than White participants (UPF-by-race interaction HR = 1.15, 95% CI 1.03-1.29, = 1.50 × 10). Associations between UPFs and both cognitive impairment and stroke were independent of adherence to the Mediterranean, DASH, and MIND diets.

DISCUSSION

Food processing may be important to brain health in older adults independent of known risk factors and adherence to recommended dietary patterns.

摘要

背景与目的

超加工食品(UPF)与心血管代谢疾病及神经学结局相关,如认知衰退和中风。然而,尚不清楚食品加工是否会带来独立于饮食模式信息之外的神经学风险。我们旨在:(1)研究超加工食品与新发认知障碍及中风之间的关联;(2)在“中风地理和种族差异原因”(REGARDS)研究中,将这些关联与其他常用的推荐饮食模式进行比较。这项前瞻性观察队列研究于2003年至2007年在美国招募了黑人和白人成年人。

方法

使用NOVA系统根据加工水平对基线食物频率问卷中的项目进行分类。排除自我报告饮食数据不完整或不可信的参与者。将每个类别(克)的摄入量标准化为总摄入量克数。还计算了量化对地中海饮食、得舒饮食(DASH)以及地中海-得舒神经退行性延迟干预饮食(MIND)的依从性得分。新发认知障碍通过在记忆和流畅性评估中相对于正常样本的表现来定义。通过对医疗记录的裁定性审查确定新发中风。

结果

认知障碍队列(n = 14,175)包括基线时无损伤证据且接受随访测试的参与者。中风队列(n = 20,243)包括无中风病史的参与者。在多变量Cox比例风险模型中,超加工食品相对摄入量增加10%与认知障碍风险升高相关(风险比[HR]=1.16,95%置信区间1.09 - 1.24,P = 1.01×10⁻⁴),而未加工或最低加工食品的摄入与认知障碍风险降低相关(HR = 0.88,95%置信区间0.83 - 0.94,P = 1.83×10⁻⁵)。在多变量Cox模型中,超加工食品摄入量增加(HR = 1.08,95%置信区间1.02 - 1.14,P = 1.12×10⁻³)以及未加工或最低加工食品摄入量增加(HR = 0.91,95%置信区间0.86 - 0.95,P = 2.13×10⁻⁴)也与中风风险相关。超加工食品对中风风险的影响在黑人参与者中比白人参与者更大(超加工食品与种族交互作用HR = 1.15,95%置信区间1.03 - 1.29,P = 1.50×10⁻³)。超加工食品与认知障碍和中风之间的关联独立于对地中海饮食、得舒饮食和MIND饮食的依从性。

讨论

食品加工可能对老年人的大脑健康很重要,独立于已知风险因素以及对推荐饮食模式的依从性。

相似文献

1
Associations Between Ultra-Processed Food Consumption and Adverse Brain Health Outcomes.
Neurology. 2024 Jun 11;102(11):e209432. doi: 10.1212/WNL.0000000000209432. Epub 2024 May 22.
2
Association of Adherence to a MIND-Style Diet With the Risk of Cognitive Impairment and Decline in the REGARDS Cohort.
Neurology. 2024 Oct 22;103(8):e209817. doi: 10.1212/WNL.0000000000209817. Epub 2024 Sep 18.
3
Ultra-Processed Food Consumption and Relation with Diet Quality and Mediterranean Diet in Southern Italy.
Int J Environ Res Public Health. 2022 Sep 9;19(18):11360. doi: 10.3390/ijerph191811360.
4
Ultraprocessed foods, unprocessed or minimally processed foods, and risk of frailty in a cohort of United States females.
Am J Clin Nutr. 2024 Jul;120(1):232-239. doi: 10.1016/j.ajcnut.2024.05.006. Epub 2024 May 14.
5
Consumption of ultra-processed foods and all-cause and cause-specific mortality in the Southern Community Cohort Study.
Clin Nutr. 2023 Oct;42(10):1866-1874. doi: 10.1016/j.clnu.2023.08.012. Epub 2023 Aug 18.
7
Ultra-processed foods and mortality: analysis from the Prospective Urban and Rural Epidemiology study.
Am J Clin Nutr. 2023 Jan;117(1):55-63. doi: 10.1016/j.ajcnut.2022.10.014. Epub 2022 Dec 20.
8
Ultra-Processed Food Consumption and Hypertension Risk in the REGARDS Cohort Study.
Hypertension. 2024 Dec;81(12):2520-2528. doi: 10.1161/HYPERTENSIONAHA.123.22341. Epub 2024 Oct 17.

引用本文的文献

2
Ultra-Processed Food and Its Impact on Bone Health and Joint Diseases: A Scoping Review.
Nutrients. 2025 Mar 28;17(7):1188. doi: 10.3390/nu17071188.
3
Nutrition and Dietary Patterns: Effects on Brain Function.
Nutrients. 2025 Mar 28;17(7):1169. doi: 10.3390/nu17071169.
4
6
Ultra-processed food consumption and risk of dementia and Alzheimer's disease: The Framingham Heart Study.
J Prev Alzheimers Dis. 2025 Feb;12(2):100042. doi: 10.1016/j.tjpad.2024.100042. Epub 2025 Jan 1.
7
The Intersection of Ultra-Processed Foods, Neuropsychiatric Disorders, and Neurolaw: Implications for Criminal Justice.
NeuroSci. 2024 Sep 23;5(3):354-377. doi: 10.3390/neurosci5030028. eCollection 2024 Sep.
8
Associations of Microbiota and Nutrition with Cognitive Impairment in Diseases.
Nutrients. 2024 Oct 21;16(20):3570. doi: 10.3390/nu16203570.

本文引用的文献

1
Trial of the MIND Diet for Prevention of Cognitive Decline in Older Persons.
N Engl J Med. 2023 Aug 17;389(7):602-611. doi: 10.1056/NEJMoa2302368. Epub 2023 Jul 18.
3
Ultra-processed food consumption, cancer risk and cancer mortality: a large-scale prospective analysis within the UK Biobank.
EClinicalMedicine. 2023 Jan 31;56:101840. doi: 10.1016/j.eclinm.2023.101840. eCollection 2023 Feb.
4
Association Between Consumption of Ultraprocessed Foods and Cognitive Decline.
JAMA Neurol. 2023 Feb 1;80(2):142-150. doi: 10.1001/jamaneurol.2022.4397.
5
Plasma Metabolites Link Dietary Patterns to Stroke Risk.
Ann Neurol. 2023 Mar;93(3):500-510. doi: 10.1002/ana.26552. Epub 2022 Nov 29.
6
Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study.
Neurology. 2022 Sep 6;99(10):e1056-e1066. doi: 10.1212/WNL.0000000000200871. Epub 2022 Jul 27.
7
Ultra-processed food consumption among US adults from 2001 to 2018.
Am J Clin Nutr. 2022 Jan 11;115(1):211-221. doi: 10.1093/ajcn/nqab305.
9
Consumption of ultra-processed foods and health status: a systematic review and meta-analysis.
Br J Nutr. 2021 Feb 14;125(3):308-318. doi: 10.1017/S0007114520002688. Epub 2020 Aug 14.
10
Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort.
JAMA Intern Med. 2020 Feb 1;180(2):283-291. doi: 10.1001/jamainternmed.2019.5942.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验