超加工食品与高脂肪、高盐或高糖食品之间的重叠:对2008/2009-2018/2019年英国国家饮食和营养调查年度11波的分析。

IF 2.5 Q2 NUTRITION & DIETETICS
BMJ Nutrition, Prevention and Health Pub Date : 2025-03-28 eCollection Date: 2025-01-01 DOI:10.1136/bmjnph-2024-001035
Viktorija Kesaite, Yanaina Chavez-Ugalde, Martin White, Jean Adams
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引用次数: 0

摘要

虽然许多国家采用基于营养素和食品类别的指导和政策来支持公民健康饮食,但明确采用超加工食品概念的国家较少。在队列研究中,UPF消费与许多不良健康结果相关。在英国,一种营养分析模型(NPM)被用来识别高脂肪、高盐或高糖的食物(HFSS),一些政策针对这些食物。目前尚不清楚国家预防机制在多大程度上也捕获了UPF。我们的目的是量化食品和饮料项目的比例,在英国消费是HFSS, UPF,两者或两者都没有,并描述食品组做出最大的贡献,每个类别。我们使用描述性统计分析了2008/2009年至2018/2019年国家饮食和营养调查的数据。我们使用了食物消耗的三个指标:所有食物、所有食物中能量的百分比(反映出不同的食物以不同的份量和不同的能量密度被消耗)和所有食物中食物重量的百分比(反映出一些upf的卡路里很少,但消耗的量很大)。我们发现33.4%的食物、47.4%的能量和16.0%的食物重量是HFSS;upf分别为36.2%、59.8%和32.9%;20.1%、35.1%和12.6%的人两者都有,50.5%、27.9%和63.7%的人两者都没有。总的来说,55.6%的UPF食物、58.7%的UPF能量和38.3%的UPF食物重量也是高果糖玉米糖浆。造成UPF而非HFSS的最常见食物组是低热量软饮料和白面包。英国NPM最多只捕获了英国消费的upf的一半以上。将NPM扩大到UPF中常见的成分(例如,非营养性甜味剂、乳化剂)将获得更大比例的UPF,并可能鼓励UPF产品的“配方化”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Overlap between ultra-processed food and food that is high in fat, salt or sugar: analysis of 11 annual waves of the UK National Diet and Nutrition Survey 2008/2009-2018/2019.

Overlap between ultra-processed food and food that is high in fat, salt or sugar: analysis of 11 annual waves of the UK National Diet and Nutrition Survey 2008/2009-2018/2019.

While many countries use guidance and policies based on nutrients and food groups to support citizens to consume healthy diets, fewer have explicitly adopted the concept of ultra-processed foods (UPF). UPF consumption is associated with many adverse health outcomes in cohort studies. In the UK, a nutrient profiling model (NPM) is used to identify foods high in fat, salt or sugar (HFSS) and several policies target these. It is not known how well the NPM also captures UPF. We aimed to quantify the proportion of food and drink items consumed in the UK that are HFSS, UPF, both or neither and describe the food groups making the largest contributions to each category. We analysed data from the National Diet and Nutrition Survey, between 2008/2009 and 2018/2019, using descriptive statistics. We used three metrics of food consumption: all foods, percentage of energy in all foods (reflecting that different foods are consumed in different portion sizes and are of different energy densities) and percentage of food weight in all foods (reflecting that some UPFs have few calories but are consumed in large volumes). We found that 33.4% of foods, 47.4% of energy and 16.0% of food weight were HFSS; 36.2%, 59.8% and 32.9%, respectively, were UPFs; 20.1%, 35.1% and 12.6% were both and 50.5%, 27.9% and 63.7% were neither. In total, 55.6% of UPF foods, 58.7% of energy from UPFs and 38.3% of food weight from UPF consumed were also HFSS. The most common food groups contributing to foods that were UPF but not HFSS were low-calorie soft drinks and white bread. The UK NPM captures at best just over half of UPFs consumed in the UK. Expanding the NPM to include ingredients common in UPFs (eg, non-nutritive sweeteners, emulsifiers) would capture a larger percentage of UPFs and could incentivise 'deformulation' of UPF products.

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来源期刊
BMJ Nutrition, Prevention and Health
BMJ Nutrition, Prevention and Health Nursing-Nutrition and Dietetics
CiteScore
5.80
自引率
0.00%
发文量
34
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