Internal Medicine Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
Age Ageing. 2023 Aug 1;52(8). doi: 10.1093/ageing/afad142.
The Nutri-Score front-of-package labelling classifies food products according to their nutritional quality, so healthier food choices are easier when shopping. This study prospectively assesses the association of a diet rated according to the Nutri-Score system and incident frailty in community-dwelling older adults.
Cohort study with 1,875 individuals aged ≥60 recruited during 2008-2010 in Spain. At baseline, food consumption was assessed using a validated dietary history. Food was categorised into five Nutri-Score labels (A/green-best quality; B, C, D, E/red-worst quality) utilising an algorithm established in 2017 and currently in use. For each participant, a Five-Color Nutri-Score Dietary Index (5-CNS DI) in grams per day per kilogram was calculated. The 5-CNS DI sums up the grams per day of food consumed times their corresponding nutritional quality value (from A rated as 1 to E rated as 5) and divided by weight in kilograms. From baseline to December 2012, incident frailty was ascertained based on Fried's criteria. Statistical analyses were performed with logistic regression adjusted for main confounders.
After a mean follow-up of 3.5 years, 136 cases of frailty were identified. The multivariable-adjusted odds ratios (95% confidence interval) of incident frailty across increasing quartiles of the 5-CNS DI were 1, 1.51 (0.86-2.68), 1.56 (0.82-2.98) and 2.32 (1.12-4.79); P-trend = 0.033. The risk of frailty increased by 28% (3-58%) with a 10-unit increment in this dietary index. Similar results were found with the Nutri-Score algorithm modified in 2022.
consumption of a diet with less favourable Nutri-Score ratings doubles the risk of frailty among community-dwelling older adults.
Nutri-Score 是一种用于包装食品的标签系统,用于根据食品的营养质量对其进行分类,以便于购物时选择更健康的食品。本研究前瞻性地评估了按照 Nutri-Score 系统评定的饮食与社区居住的老年人虚弱事件之间的关联。
这是一项队列研究,共有 1875 名年龄≥60 岁的个体于 2008-2010 年在西班牙招募。在基线时,使用经过验证的饮食史评估食物摄入量。利用 2017 年建立的算法和目前正在使用的算法将食物分为五个 Nutri-Score 标签(A/绿色-最佳质量;B、C、D、E/红色-最差质量)。对于每个参与者,计算了每天每公斤克的五色彩虹 Nutri-Score 饮食指数(5-CNS DI)。5-CNS DI 将每天食用的食物克数乘以其相应的营养质量值(从 A 级评为 1 到 E 级评为 5),并除以公斤体重。从基线到 2012 年 12 月,根据 Fried 的标准确定虚弱的发生情况。使用逻辑回归进行统计分析,调整了主要混杂因素。
平均随访 3.5 年后,共发现 136 例虚弱病例。5-CNS DI 四分位间距递增时,虚弱发生的多变量调整比值比(95%置信区间)分别为 1、1.51(0.86-2.68)、1.56(0.82-2.98)和 2.32(1.12-4.79);P 趋势=0.033。这种饮食指数增加 10 个单位,虚弱的风险增加 28%(3-58%)。用 2022 年修改的 Nutri-Score 算法得到了类似的结果。
在社区居住的老年人中,食用 Nutri-Score 评分较差的饮食会使虚弱的风险增加一倍。