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超加工食品摄入量与 BMI 变化及超重和肥胖风险的关系:法国 NutriNet-Santé 队列的前瞻性分析。

Ultra-processed food intake in association with BMI change and risk of overweight and obesity: A prospective analysis of the French NutriNet-Santé cohort.

机构信息

Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France.

MOISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Montpellier SupAgro, Montpellier, France.

出版信息

PLoS Med. 2020 Aug 27;17(8):e1003256. doi: 10.1371/journal.pmed.1003256. eCollection 2020 Aug.


DOI:10.1371/journal.pmed.1003256
PMID:32853224
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7451582/
Abstract

BACKGROUND: Ultra-processed food (UPF) consumption has increased drastically worldwide and already represents 50%-60% of total daily energy intake in several high-income countries. In the meantime, the prevalence of overweight and obesity has risen continuously during the last century. The objective of this study was to investigate the associations between UPF consumption and the risk of overweight and obesity, as well as change in body mass index (BMI), in a large French cohort. METHODS AND FINDINGS: A total of 110,260 adult participants (≥18 years old, mean baseline age = 43.1 [SD 14.6] years; 78.2% women) from the French prospective population-based NutriNet-Santé cohort (2009-2019) were included. Dietary intakes were collected at baseline using repeated and validated 24-hour dietary records linked to a food composition database that included >3,500 different food items, each categorized according to their degree of processing by the NOVA classification. Associations between the proportion of UPF in the diet and BMI change during follow-up were assessed using linear mixed models. Associations with risk of overweight and obesity were assessed using Cox proportional hazard models. After adjusting for age, sex, educational level, marital status, physical activity, smoking status, alcohol intake, number of 24-hour dietary records, and energy intake, we observed a positive association between UPF intake and gain in BMI (β Time × UPF = 0.02 for an absolute increment of 10 in the percentage of UPF in the diet, P < 0.001). UPF intake was associated with a higher risk of overweight (n = 7,063 overweight participants; hazard ratio (HR) for an absolute increase of 10% of UPFs in the diet = 1.11, 95% CI: 1.08-1.14; P < 0.001) and obesity (n = 3,066 incident obese participants; HR10% = 1.09 (1.05-1.13); P < 0.001). These results remained statistically significant after adjustment for the nutritional quality of the diet and energy intake. Study limitations include possible selection bias, potential residual confounding due to the observational design, and a possible item misclassification according to the level of processing. Nonetheless, robustness was tested and verified using a large panel of sensitivity analyses. CONCLUSIONS: In this large observational prospective study, higher consumption of UPF was associated with gain in BMI and higher risks of overweight and obesity. Public health authorities in several countries recently started to recommend privileging unprocessed/minimally processed foods and limiting UPF consumption. TRIAL REGISTRATION: ClinicalTrials.gov NCT03335644 (https://clinicaltrials.gov/ct2/show/NCT03335644).

摘要

背景:超加工食品(UPF)的消费在全球范围内急剧增加,在一些高收入国家,其已占每日总能量摄入的 50%-60%。与此同时,超重和肥胖的患病率在上个世纪持续上升。本研究旨在调查法国大型队列中 UPF 消费与超重和肥胖风险以及体重指数(BMI)变化之间的关系。

方法和发现:共纳入了来自法国前瞻性基于人群的 NutriNet-Santé 队列(2009-2019 年)的 110260 名成年参与者(≥18 岁,平均基线年龄=43.1[14.6]岁;78.2%为女性)。通过重复和验证的 24 小时饮食记录来收集基线饮食摄入情况,这些记录与食物成分数据库相关联,该数据库包含超过 3500 种不同的食物,每种食物都根据其加工程度按 NOVA 分类进行分类。使用线性混合模型评估饮食中 UPF 比例与随访期间 BMI 变化之间的关系。使用 Cox 比例风险模型评估与超重和肥胖风险的关系。在调整年龄、性别、教育程度、婚姻状况、身体活动、吸烟状况、饮酒量、24 小时饮食记录次数和能量摄入后,我们观察到 UPF 摄入与 BMI 增加之间存在正相关(UPF 摄入=0.02,饮食中 UPF 比例绝对增加 10,P<0.001)。UPF 摄入与超重风险增加相关(超重参与者 n=7063;饮食中 UPF 增加 10%的风险比(HR)=1.11,95%置信区间:1.08-1.14;P<0.001)和肥胖(新发生肥胖参与者 n=3066;HR10%=1.09(1.05-1.13);P<0.001)。这些结果在调整饮食营养质量和能量摄入后仍然具有统计学意义。研究的局限性包括可能存在选择偏倚、由于观察性设计可能存在的残余混杂以及根据加工程度可能出现的项目分类错误。尽管如此,仍使用大量敏感性分析进行了稳健性测试和验证。

结论:在这项大型观察性前瞻性研究中,较高的 UPF 消费与 BMI 增加以及超重和肥胖风险增加有关。一些国家的公共卫生当局最近开始建议优先选择未加工/最低限度加工的食物,并限制 UPF 的消费。

试验注册:ClinicalTrials.gov NCT03335644(https://clinicaltrials.gov/ct2/show/NCT03335644)。

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本文引用的文献

[1]
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BMC Med. 2020-3-18

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Defining cutoffs to diagnose obesity using the relative fat mass (RFM): Association with mortality in NHANES 1999-2014.

Int J Obes (Lond). 2020-6

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Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort.

JAMA Intern Med. 2020-2-1

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Ultra-processed foods, incident overweight and obesity, and longitudinal changes in weight and waist circumference: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Public Health Nutr. 2020-4

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Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé).

BMJ. 2019-5-29

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Obes Rev. 2019-5-17

[10]
Prospective association between ultra-processed food consumption and incident depressive symptoms in the French NutriNet-Santé cohort.

BMC Med. 2019-4-15

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