Trends in food consumption by degree of processing and diet quality over 17 years: results from the Framingham Offspring Study

Ultra-Processed Food and Chronic Kidney Disease Risk: A Systematic Review, Meta-Analysis, and Recommendations

Background: Ultra-processed foods (UPFs) are formulations of ingredients that are mostly of exclusive industrial use and may contain additives like artificial colors, flavors, or stabilizers. The sale and consumption of these foods have been increasing despite their associations with increased risk for several non-communicable diseases, including chronic kidney disease (CKD). Compared to less processed and perishable foods, UPFs have longer shelf stability, are widely accessible, and are convenient. They also tend to be more affordable and lower in nutritional quality. The aim of this systematic review and meta-analysis (PROSPERO ID: CRD42023488201) was to investigate whether consumption of UPF is associated with a higher risk of CKD in adults. Methods: We completed a systematic search using Medline, EMBASE, CINAHL, and Cochrane Central databases to identify observational studies published since the wide acceptance of UPF classification and conducted a random-effects model to pool the risk estimates. Results: A total of seven studies met the inclusion criteria for the systematic review, of which four were eligible for meta-analysis. Across these studies, there were 19,645 incident CKD cases from individuals free of baseline CKD. Using a random-effects model, higher UPF intake was significantly associated with increased CKD risk (pooled log-hazard ratio = 0.17; 95% CI: 0.07-0.28; p < 0.001). Conclusions: Given the substantial evidence from this systematic review and meta-analysis indicating an association between UPF and CKD, it is recommended for public health policies to address this risk. Promoting dietary guidelines that encourage the consumption of minimally processed foods could potentially mitigate the prevalence of CKD and improve overall public health outcomes.

Fifteen Years of NOVA Food-Processing Classification: "Friend or Foe" Among Sustainable Diet Indicators? A Scoping Review

It has been 15 years since the introduction of the NOVA food-processing classification. While it was designed to identify ultra-processed foods linked to noncommunicable diseases, the NOVA system has a holistic concept that fits with sustainable nutrition. However, NOVA's connection to other sustainable diet indicators has not been thoroughly explored. The aim was to summarize the research and methodological context of using the NOVA system with other sustainable diet indicators and to investigate NOVA's synergies and discordance with them. A scoping review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Extension for Scoping Reviews (PRISMA-ScR). Studies published between 2009 and 2023 were collected from the Web of Science, Scopus, and PubMed databases. 1612 studies were initially screened; in the selected studies (n = 77), the NOVA system was applied in addition to other sustainable diet indicator(s). The studies were analyzed within a qualitative data analysis framework. 77 studies were analyzed in which healthiness (n = 66), environmental pressure (n = 9), affordability (n = 11), other processing classifications (n = 6), and other sustainable diet indicators (n = 10) were applied with NOVA. Among them, the identified relationships between the NOVA system and other healthfulness indicators were synergistic in the majority of studies (n = 70/93). For environmental pressure indicators, a mixed picture was observed; the NOVA classification was predominantly synergistic with greenhouse gas emissions (n = 8/13), while it was mostly discordant with fresh water use (n = 8/12). Economic affordability was also found to be discordant with the NOVA classification in the majority of studies (n = 10/16). To complete the NOVA classification with nutrient profiling would be beneficial to identify healthy diets. In the case of the integration of NOVA into sustainable nutrition research, environmental pressure and economic affordability indicators should be controlled to reach optimal trade-offs for more sustainable diets. The application of NOVA is gaining relevance; thus, its methodological adaptation to sustainable nutrition research is necessary.

Nova fails to appreciate the value of plant-based meat and dairy alternatives in the diet

Processed foods play an important role in achieving both food and nutrition security. However, in recent years, there has been increased concern about the health effects of food processing, in large part because of the emergence of the Nova food classification system. Nova classifies all foods into one of four groups purportedly based entirely on the extent to which they have been processed. Recommendations to limit intake of ultra-processed foods (UPF) (group 4) are based primarily on observational studies showing that their intake is associated with a range of adverse outcomes. Nearly all plant milks and the entire new generation of plant-based meat alternatives (PBMAs), which are made using concentrated sources of plant protein, are classified as UPFs. This classification may deter the public from consuming and health professionals from recommending these products even though they represent a convenient way to increase plant protein intake in high-income countries, which is recommended by health authorities. However, although total UPF intake is associated with adverse health outcomes, this is not the case for many subcategories of UPFs. Furthermore, in many instances, clinical research shows that PBMAs and plant milks have beneficial effects relative to their animal-based counterparts (Group 1). Collectively, the evidence leads to two conclusions. First, PBMAs represent a viable approach for lowering the dietary animal to plant protein ratio. Second, Nova paints with too broad a brush and is insufficiently nuanced to serve as a public guide for food purchasing decisions and may distract consumers from focusing on the importance of nutrient content.

Ultra-processed food consumption and risk of dementia and Alzheimer's disease: The Framingham Heart Study

BACKGROUND

Ultra-processed food consumption is emerging as a risk factor for various cardiometabolic diseases, however its association with dementia and Alzheimer's disease has rarely been explored.

OBJECTIVES

We sought to examine whether ultra-processed food consumption is associated with risk of all-cause dementia and Alzheimer's disease among middle-age and older adults.

DESIGN

A prospective cohort study.

SETTING

The Framingham Heart Study, a single-site, community-based cohort study.

PARTICIPANTS

Offspring cohort participants who attended examination cycles 5 (1991-1995) and 7 (1998-2001) at age ≥60 years and who were dementia-free at baseline.

MEASUREMENTS

Nutritional information was retrieved from food frequency questionnaires, and ultra-processed food was categorized based on the NOVA system. Participants were followed-up for all-cause dementia and Alzheimer's disease. Cox regression models were used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) adjusting for potential confounders.

RESULTS

The study sample included 1,375 participants free of dementia and stroke at baseline (mean age 68 ± 6y, 54 % females). During a mean follow-up of 12.7 ± 6.0 years, 224 and 172 individuals were diagnosed with all-cause dementia and Alzheimer's disease, respectively. An interaction of ultra-processed food consumption with age was observed with regard to dementia and Alzheimer's disease (p for interaction = 0.02 and 0.007, respectively). Therefore, all analyses were stratified by the median age of 68 years. Among participants who were <68 years of age at baseline, each serving per day of ultra-processed food was associated with 13 % increased risk for Alzheimer's disease (HR = 1.13, 95 % CI:1.03-1.25), and consumption of ≥10 servings/day vs. <10 servings/day of ultra-processed food was associated with a 2.7-fold increase in Alzheimer's disease risk (HR = 2.71, 95 % CI:1.18-6.24), after adjustment for age, sex, education, total energy, metabolic factors and diet quality. The associations with all-cause dementia were less robust, and no significant findings were observed when age at baseline was 68 years or above.

CONCLUSIONS

Our findings suggest that consumption of ultra-processed food in middle-age may be linked with an increased risk for Alzheimer's disease. Future clinical studies are warranted to assess whether reduction of ultra-processed food consumption improves brain health.

Heterogeneity in the consumption of fresh and ultra-processed foods by the Brazilian population ≥10 years of age

OBJECTIVE

To evaluate the heterogeneity in the consumption of fresh or minimally processed foods (FMPF) and ultra-processed foods (UPF) in the Brazilian population ≥10 years of age.

METHODS

Cross-sectional study that used data from the food consumption and resident module from the 2017-2018 edition of the Family Budget Survey. Variables relating to sex, region of residence, household status and per capita family income in minimum wages were used. The outcomes were dietary participation in percentage of FMPF and UPF. Heterogeneity was assessed using random effects produced by linear mixed-effects models.

RESULTS

Thirty-two random effects were obtained for the consumption of FMPF and 34 for UPF. Living in the urban area of the South and Southeast regions, as well as having a higher income were driving factors in the consumption of UPF and reducing the consumption of FMPF. Living in a rural area and having low income were mainly reducing factors in the consumption of UPF and driving factors in the consumption of FMPF.

CONCLUSIONS

The consumption of UPF and FMPF was determined by the set of factors that represented easy access to these foods, whether geographic or economic such as income.

Determinants of the consumption of ultra-processed foods in the Brazilian population

This article aims to evaluate the sociodemographic determinants of ultra-processed foods (UPF) consumption in the Brazilian population ≥ 10 years of age. The study used data from the personal and resident food consumption module of the Family Budget Surveys, grouping foods according to the NOVA classification of food processing. The classification and regression tree (CART) was used to identify the factors determining the lowest to highest percentage participation of UPF in the Brazilian population. UPF accounted for 37·0 % of energy content in 2017-2018. In the end, eight nodes of UPF consumption were identified, with household situation, education in years, age in years and per capita family income being the determining factors identified in the CART. The lowest consumption of UPF occurred among individuals living in rural areas with less than 4 years of education (23·78 %), while the highest consumption occurred among individuals living in urban areas, < 30 years of age and with per capita income ≥ US$257 (46·27 %). The determining factors identified in CART expose the diverse pattern of UPF consumption in the Brazilian population, especially conditions directly associated with access to these products, such as penetration in urban/rural regions. Through the results of this study, it may be possible to identify focal points for action in policies and actions to mitigate UPF consumption.

Sociodemographic and behavioural differences between frequent and non-frequent users of convenience food in Germany

Introduction

Convenience foods are a double-edged sword in that they provide quick and easy nutrition but may promote non-communicable diseases related to excess intakes of sugar, fat, and salt. To inform the German national reduction and innovation strategy for less sugar, fat, and salt in processed foods, the present study sought to analyse the consumption frequency of selected convenience foods and to determine sociodemographic and behavioural factors that characterise frequent users.

Methods

In a representative computer-assisted telephone interview survey in the adult German population (N = 3,997) conducted in 2018, consumption frequency of 21 convenience foods was assessed. To characterise frequent in contrast to non-frequent users, data on sociodemographics and behavioural aspects were compared. Statistical analyses comprised chi-square tests with Bonferroni correction as well as Spearman's rank correlation. Cramer's V was used to determine the strength of an association.

Results

Overall and among frequent users (7.7% of the sample) sweet convenience foods and savoury cooking aids were consumed most frequently. Around 75% of the participants indicated little-to-no consumption of 19 of the 21 convenience foods. Male gender (p < 0.001), younger age (p < 0.001), and not having a high level of education (p = 0.017) were identified as key characteristics of frequent users. Furthermore, frequent users were more likely than non-frequent users to live in a family household (p = 0.003) or without a partner (p < 0.001), and to work in shifts (p = 0.002). Additionally, they showed significantly lower cooking skills (p < 0.001).

Conclusion

Public health interventions to limit excess intakes of sugar, fat, and salt from convenience food in Germany should target people of male gender, younger age, and having a lower level of education. On the behavioural side, developing the skills to cook from scratch emerged as major point of focus. Simultaneously, reformulation of the food offer should continue in order to help transition to a more health-promoting food environment.

Trends in food consumption according to the degree of food processing among the UK population over 11 years

Although ultra-processed foods represent more than half of the total energy consumed by the UK population, little is known about the trend in food consumption considering the degree of food processing. We evaluated the trends of the dietary share of foods categorised according to the NOVA classification in a historical series (2018–2019) among the UK population. Data were acquired from the NDNS, a survey that collects diet information through a 4-d food record. We used adjusted linear regression to estimate the dietary participation of NOVA groups and evaluated the linear trends over the years. From 2008 to 2019, we observed a significant increase in the energy share of culinary ingredients (from 3·7 to 4·9 % of the total energy consumed; P-trend = 0·001), especially for butter and oils; and reduction of processed foods (from 9·6 to 8·6 %; P-trend = 0·002), especially for beer and wine. Unprocessed or minimally processed foods (≅30 %, P-trend = 0·505) and ultra-processed foods (≅56 %, P-trend = 0·580) presented no significant change. However, changes in the consumption of some subgroups are noteworthy, such as the reduction in the energy share of red meat, sausages and other reconstituted meat products as well as the increase of fruits, ready meals, breakfast cereals, cookies, pastries, buns and cakes. Regarding the socio-demographic characteristics, no interaction was observed with the trend of the four NOVA groups. From 2008 to 2019 was observed a significant increase in culinary ingredients and a reduction in processed food. Furthermore, it sheds light on the high share of ultra-processed foods in the contemporary British diet.

Ultra-processed food consumption among US adults from 2001 to 2018

BACKGROUND

Accumulating evidence links ultra-processed foods to poor diet quality and chronic diseases. Understanding dietary trends is essential to inform priorities and policies to improve diet quality and prevent diet-related chronic diseases. Data are lacking, however, for trends in ultra-processed food intake.

OBJECTIVES

We examined US secular trends in food consumption according to processing level from 2001 to 2018.

METHODS

We analyzed dietary data collected by 24-h recalls from adult participants (aged >19 y; N  = 40,937) in 9 cross-sectional waves of the NHANES (2001-2002 to 2017-2018). We calculated participants' intake of minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods as the relative contribution to daily energy intake (%kcal) using the NOVA framework. Trends analyses were performed using linear regression, testing for linear trends by modeling the 9 surveys as an ordinal independent variable. Models were adjusted for age, sex, race/ethnicity, education level, and income. Consumption trends were reported for the full sample and stratified by sex, age groups, race/ethnicity, education level, and income level.

RESULTS

Adjusting for changes in population characteristics, the consumption of ultra-processed foods increased among all US adults from 2001-2002 to 2017-2018 (from 53.5 to 57.0 %kcal; P-trend < 0.001). The trend was consistent among all sociodemographic subgroups, except Hispanics, in stratified analyses. In contrast, the consumption of minimally processed foods decreased significantly over the study period (from 32.7 to 27.4 %kcal; P-trend < 0.001) and across all sociodemographic strata. The consumption of processed culinary ingredients increased from 3.9 to 5.4 %kcal (P-trend < 0.001), whereas the intake of processed foods remained stable at ∼10 %kcal throughout the study period (P-trend = 0.052).

CONCLUSIONS

The current findings highlight the high consumption of ultra-processed foods in all parts of the US population and demonstrate that intake has continuously increased in the majority of the population in the past 2 decades.

The Role of Diet Quality in Mediating the Association between Ultra-Processed Food Intake, Obesity and Health-Related Outcomes: A Review of Prospective Cohort Studies

Prospective cohort studies show that higher intakes of ultra-processed food (UPF) increase the risk of obesity and obesity-related outcomes, including cardiovascular disease, cancer and type 2 diabetes. Whether ultra-processing itself is detrimental, or whether UPFs just have a lower nutritional quality, is debated. Higher UPF intakes are inversely associated with fruit, vegetables, legumes and seafood consumption. Therefore, the association between UPFs and poor health could simply be from excess nutrient intake or from a less healthful dietary pattern. If so, adjustment for dietary quality or pattern should explain or greatly reduce the size of the significant associations between UPFs and health-related outcomes. Here, we provide an overview of the literature and by using a novel approach, review the relative impact of adjusting for diet quality/patterns on the reported associations between UPF intake and health-related outcomes in prospective cohort studies. We find that the majority of the associations between UPFs, obesity and health-related outcomes remain significant and unchanged in magnitude after adjustment for diet quality or pattern. Our findings suggest that the adverse consequences of UPFs are independent of dietary quality or pattern, questioning the utility of reformulation to mitigate against the obesity pandemic and wider negative health outcomes of UPFs.