Ultra Processed Foods: A South Asian culinary perspective.

There is a vast multitude of foodstuffs available, and health care professionals find it challenging to distinguish between healthy and unhealthy offerings. Recent evidence suggests that ultra processed foods should be avoided, as they are associated with harmful effects on health. This communication defines and describes ultra-processed foods, using the internationally accepted NOVA classification. It uses South Asian examples to make the concept easy to understand for South Asian readers.

Effect of mobile food environments on fast food visits.

Poor diets are a leading cause of morbidity and mortality. Exposure to low-quality food environments saturated with fast food outlets is hypothesized to negatively impact diet. However, food environment research has predominantly focused on static food environments around home neighborhoods and generated mixed findings. In this work, we leverage population-scale mobility data in the U.S. to examine 62M people's visits to food outlets and evaluate how food choice is influenced by the food environments people are exposed to as they move through their daily routines. We find that a 10% increase in exposure to fast food outlets in mobile environments increases individuals' odds of visitation by 20%. Using our results, we simulate multiple policy strategies for intervening on food environments to reduce fast-food outlet visits. This analysis suggests that optimal interventions are informed by spatial, temporal, and behavioral features and could have 2x to 4x larger effect than traditional interventions focused on home food environments.

Ultra-processed food consumption and increased risk of metabolic syndrome in Korean adults: A cross-sectional analysis of the KNHANES 2016-2020.

OBJECTIVE: This study aimed to investigate the association between ultra-processed food (UPF) intake and the risk for metabolic syndrome (MetS) in Korean adults. METHODS: The study consisted of 22 688 Korean adults ≥19 y of age from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016-2020. The NOVA classification categorizes foods according to the nature, extent, and purpose of industrial processing. MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria and a modified waist circumference cut-off for Korean adults. We estimated the usual percent total food intake from UPFs. We used multivariate logistic regression to assess the association between UPFs and risk for MetS, adjusted for age, sex, education level, income level, smoking status, alcohol drinking, physical activity, and total energy intake. We further analyzed the association of UPFs with each component of MetS. RESULTS: The median usual percent total food intake from UPFs was 22%, and the midpoint of intake ranged from 3% (quartile 1) to 48% (quartile 4). The group with the highest UPF consumption had a 19% higher risk for developing MetS than the lowest quartile of UPF consumption (odds ratio [OR],1.19; 95% confidence interval [CI], 1.06-1.33; Ptrend = 0.006). In analysis of the relationship between UPF intake and MetS components, a higher UPF was associated with an increased risk for hypertension (OR, 1.13; 95% CI, 1.01-1.26; Ptrend = 0.037) and abdominal obesity (OR, 1.19; 95% CI, 1.07-1.33; Ptrend = 0.001), but had no significant association with other components (hyperglycemia, hypertriacylglycerolmia, and low high-density lipoprotein cholesterol, all P > 0.05). CONCLUSION: Higher UPF contribution to total daily food intake is associated with an increased risk for MetS, particularly with a higher risk for hypertension and abdominal obesity.

Influence of the food environment on obesity risk in a large cohort of US veterans by community type.

OBJECTIVE: The aim of this study was to examine relationships between the food environment and obesity by community type. METHODS: Using electronic health record data from the US Veterans Administration Diabetes Risk (VADR) cohort, we examined associations between the percentage of supermarkets and fast-food restaurants with obesity prevalence from 2008 to 2018. We constructed multivariable logistic regression models with random effects and interaction terms for year and food environment variables. We stratified models by community type. RESULTS: Mean age at baseline was 59.8 (SD = 16.1) years; 93.3% identified as men; and 2,102,542 (41.8%) were classified as having obesity. The association between the percentage of fast-food restaurants and obesity was positive in high-density urban areas (odds ratio [OR] = 1.033; 95% CI: 1.028-1.037), with no interaction by time (p = 0.83). The interaction with year was significant in other community types (p < 0.001), with increasing odds of obesity in each follow-up year. The associations between the percentage of supermarkets and obesity were null in high-density and low-density urban areas and positive in suburban (OR = 1.033; 95% CI: 1.027-1.039) and rural (OR = 1.007; 95% CI: 1.002-1.012) areas, with no interactions by time. CONCLUSIONS: Many healthy eating policies have been passed in urban areas; our results suggest such policies might also mitigate obesity risk in nonurban areas.

Ready-to-Eat Food Environments and Risk of Incident Heart Failure: A Prospective Cohort Study.

BACKGROUND: Food environments have been linked to cardiovascular diseases; however, few studies have assessed the relationship between food environments and the risk of heart failure (HF). We aimed to evaluate the association between ready-to-eat food environments and incident HF at an individual level in a large prospective cohort. METHODS: Exposure to ready-to-eat food environments, comprising pubs or bars, restaurants or cafeterias, and fast-food outlets, were individually measured as both proximity and density metrics. We also developed a composite ready-to-eat food environment density score by summing the densities of 3 types of food environments. Cox proportional analyses were applied to assess the associations of each single type and the composite food environments with HF risk. RESULTS: Closer proximity to and greater density of ready-to-eat food environments, particularly for pubs and bars and fast-food outlets (P<0.05 for both proximity and density metric) were associated with an elevated risk of incident HF. Compared with those with no exposure to composite ready-to-eat food environments, participants in the highest density score category had a 16% (8%-25%; P<0.0001) higher risk of HF. In addition, we found significant interactions of food environments with education, urbanicity, and density of physical activity facilities on HF risk (all Pinteraction<0.05); the ready-to-eat food environments-associated risk of HF was stronger among participants who were poorly educated, living in urban areas, and without physical activity facilities. CONCLUSIONS: Exposure to ready-to-eat food environments is associated with a higher risk of incident HF, suggesting the potential importance of minimizing unfavorable food environments in the prevention of HF.

Trends in ultra-processed food availability and its association with diet-related non-communicable disease health indicators in the Portuguese population.

Broad variations in dietary and physical activity patterns are part of nutritional transition concept. An additional nutritional transition has as main characteristic the change of consumption of processed foods for ultra-processed foods (UPF). This study aims to evaluate trends of UPF availability in Portuguese population and its association with diet-related non-communicable diseases (NCD) health indicators. This ecological study used data from the Household Budget Surveys conducted by the National Statistics Institute each 5 years within a national representative sample of households. The percentage of UPF was calculated based on the total daily amount of food and beverages available per capita (in grams). Data from the years 1990, 1995, 2000 and 2005 were used, which were retrieved from DAFNE-Anemos Software. NCD age-standardised mortality, prevalence and incidence were obtained from the Global Burden of Disease database, for the years 2000, 2005, 2010 and 2015. Between 1990 and 2005, the UPF availability increased from 3·9 % to 13·8 %. Over the years, almost all food and beverages categories increased the UPF availability contribution, mainly noticeable for milk, sugar, cereal and meat products. Positive correlations were observed between UPF availability and digestive diseases both in prevalence (r = 0·062; P = 0·037) and incidence (r = 0·005; P = 0·010) measures. Neoplasms incidence also showed positive correlation with UPF availability (r = 0·002; P = 0·012). Trends in UPF availability in Portugal increased exponentially. At the same time, there is a trend towards a decrease in unprocessed and processed food availability. The Portuguese population should be made aware of the health risks resulting from excessive consumption of UPF.

Ultra-Processed Food Consumption and Mortality: Three Cohort Studies in the United States and United Kingdom.

INTRODUCTION: Given the increase in ultra-processed food (UPF) consumption, their potential health effects have aroused concern. Whether UPF consumption is associated with cancer and cardiovascular disease mortality is debatable. This study evaluates the association of UPF consumption with mortality. METHODS: A total of 108,714 U.S. adults from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (1993-2001), 208,051 UK adults from UK Biobank (2006-2010), and 41,070 U.S. adults from National Health and Nutrition Examination Survey (1999-2018) were included. Dietary data were collected by dietary questionnaire and classified using the NOVA classification. UPF consumption was expressed as the weight proportion of UPFs in total foods consumed. Cox proportional hazard models were used to calculate hazard ratios and 95% CIs. Mediation analysis was used to evaluate whether multiple metabolic pathways mediated the associations in UK Biobank. Analyses were performed in 2022-2023. RESULTS: Combined analyses of the three cohorts showed that those with the highest quartile of UPF consumption had higher risks of all-cause mortality (hazard ratio, 1.16; 95% CI, 1.11-1.20) and cardiovascular disease mortality (hazard ratio, 1.17; 95% CI, 1.06-1.28) compared to the lowest quartile of UPF consumption. UPF consumption was not associated with cancer mortality risk. Biomarkers of liver function have the greatest mediating effects on all-cause mortality (20.3%), and biomarkers of inflammation have the greatest mediating effects on cardiovascular disease mortality (29.2%). CONCLUSIONS: Higher UPF consumption was associated with increased all-cause and cardiovascular disease mortality risk, with multiple metabolic pathways playing mediating roles.

Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis.

PURPOSE: To investigate the role of adiposity in the associations between ultra-processed food (UPF) consumption and head and neck cancer (HNC) and oesophageal adenocarcinoma (OAC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS: Our study included 450,111 EPIC participants. We used Cox regressions to investigate the associations between the consumption of UPFs and HNC and OAC risk. A mediation analysis was performed to assess the role of body mass index (BMI) and waist-to-hip ratio (WHR) in these associations. In sensitivity analyses, we investigated accidental death as a negative control outcome. RESULTS: During a mean follow-up of 14.13 ± 3.98 years, 910 and 215 participants developed HNC and OAC, respectively. A 10% g/d higher consumption of UPFs was associated with an increased risk of HNC (hazard ratio [HR] = 1.23, 95% confidence interval [CI] 1.14-1.34) and OAC (HR = 1.24, 95% CI 1.05-1.47). WHR mediated 5% (95% CI 3-10%) of the association between the consumption of UPFs and HNC risk, while BMI and WHR, respectively, mediated 13% (95% CI 6-53%) and 15% (95% CI 8-72%) of the association between the consumption of UPFs and OAC risk. UPF consumption was positively associated with accidental death in the negative control analysis. CONCLUSIONS: We reaffirmed that higher UPF consumption is associated with greater risk of HNC and OAC in EPIC. The proportion mediated via adiposity was small. Further research is required to investigate other mechanisms that may be at play (if there is indeed any causal effect of UPF consumption on these cancers).

Early introduction of ultra-processed foods is associated with overweight and anaemia in socially vulnerable Brazilian children.

This study aimed to evaluate the early introduction of ultra-processed foods (UPF) and identify its association with overweight and anaemia in Brazilian children living in a situation of social vulnerability. A population-based cross-sectional study was conducted in a Brazilian capital. Children aged 12-59 months were included. The presence of overweight and anaemia was evaluated, as well as the introduction of twelve different UPF in children's first year of life. Association analysis was performed using Poisson regression, with robust estimates of variances. A total of 561 children were studied; 85·5 % had consumed at least one UPF evaluated in the first year of life; 19·1 % were overweight and 52·0 % were anaemic. Adjusted multivariate analyses identified that the early introduction of soft drinks (Prevalence Ratio (PR) = 1·18, 95 % CI (1·02, 1·38)), packaged snacks (PR = 1·17, 95 % CI (1·05, 1·30)) and powdered soft drinks (PR = 1·36, 95 % CI (1·16, 1·60)) increased the likelihood of children being overweight, and the early introduction of chocolate drink (PR = 1·25, 95 % CI (1·02, 1·53)) increased the likelihood of them being anaemic, when comparing children who consumed these UPF before reaching 1 year of age with those who consumed these foods at 12 months of age or older. From the results found, one can see the existing relationship between the early introduction of UPF with overweight and anaemia, being necessary to intensify public health policies to combat malnutrition, focusing on the promotion of proper and healthy eating, especially during the phase of food introduction, focusing on the population living in socially vulnerable situations.

Ultra-processed Food Intake and Risk of Type 2 Diabetes in Korean Adults.

BACKGROUND: Several studies from the United States and European countries reported a positive association between ultra-processed food intake and diabetes risk. However, little is known about the association in Asian populations. It is also unknown about the individual ultra-processed food items that are most unfavorably associated with diabetes risk. OBJECTIVE: We examined the associations of ultra-processed food intake (combined, as well as individual ultra-processed food items) with the risk of type 2 diabetes. METHODS: This prospective analysis included 7438 participants aged 40-69 y from the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Dietary intake was assessed at baseline using a 103-item semiquantitative food-frequency questionnaire. Ultra-processed foods were classified using the Nova definition. Incident type 2 diabetes cases were identified via follow-up interviews and health examination. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS: During the follow-up (2001-2019; median: 15 y), a total of 1187 type 2 diabetes cases were identified. Compared with the lowest quartile of ultra-processed food intake, the highest quartile was positively associated with diabetes risk [HR (95% CI) = 1.34 (1.13, 1.59), P-trend = 0.002]. The association did not change after additional adjustment for diet quality or BMI. Among individual ultra-processed food items, a higher consumption of ham/sausage [per 1% increase in the weight ratio: HR (95% CI) = 1.40 (1.05, 1.86)], instant noodles [1.07 (1.02, 1.11)], ice cream [1.08 (1.03, 1.13)], and carbonated beverages [1.02 (1.00, 1.04)] were associated with an increased risk of type 2 diabetes, whereas a higher intake of candy/chocolate was associated with a decreased risk [0.78 (0.62, 0.99)]. CONCLUSIONS: Our data suggest that the high intake of ultra-processed foods, particularly ham/sausage, instant noodles, ice cream, and carbonated beverages, is associated with an increased risk of type 2 diabetes in Korean adults.

How and why ultra-processed foods harm human health.

The analysis of food using a perspective centred on nutrients seems inadequate for understanding the dietary transition and its impact on the growth of obesity and chronic diseases. Industrial food processing is now proposed as the key to explain the relationship between food and health. The NOVA food classification considers the degree and the purpose of food processing, which includes physical, biological and chemical processes used after foods are separated from nature, and before being consumed or prepared as dishes and meals. NOVA has four food groups: (1) unprocessed and minimally processed foods; (2) processed culinary ingredients; (3) processed foods and (4) ultra-processed foods, which are formulations made mostly or entirely from substances derived from group 1 foods and additives, with little if any intact group 1 food. Many investigations linking high ultra-processed food consumption with deterioration of diets and adverse health outcomes are reinforced by prospective studies, systematic reviews and meta-analyses. There are various plausible explanations of why diets high in ultra-processed foods are harmful. Their production and consumption continue to rise worldwide. Efficient and effective public policies and actions that reduce production and consumption of ultra-processed products are needed, to protect human health now and in future.

Ultra-processed foods and incident cardiovascular disease and hypertension in middle-aged women.

PURPOSE: Ultra-processed food (UPF) intake has increased in recent decades, yet limited knowledge of long-term effects on cardiovascular health persists and sex-specific data is scant. We determined the association of UPF intake with incident cardiovascular disease (CVD) and/or hypertension in a population-based cohort of women. METHODS: In the Australian Longitudinal Study on Women's Health, women aged 50-55 years were prospectively followed (2001-2016). UPFs were identified using NOVA classification and contribution of these foods to total dietary intake by weight was estimated. Primary endpoint was incident CVD (self-reported heart disease/stroke). Secondary endpoints were self-reported hypertension, all-cause mortality, type 2 diabetes mellitus, and/or obesity. Logistic regression models assessed associations between UPF intake and incident CVD, adjusting for socio-demographic, medical comorbidities, and dietary variables. RESULTS: We included 10,006 women (mean age 52.5 ± 1.5; mean UPF intake 26.6 ± 10.2% of total dietary intake), with 1038 (10.8%) incident CVD, 471 (4.7%) deaths, and 4204 (43.8%) hypertension cases over 15 years of follow-up. In multivariable-adjusted models, the highest [mean 42.0% total dietary intake] versus the lowest [mean 14.2% total dietary intake] quintile of UPF intake was associated with higher incident hypertension [odds ratio (OR) 1.39, 95% confidence interval (CI) 1.10-1.74; p = 0.005] with a linear trend (ptrend = 0.02), but not incident CVD [OR 1.22, 95% CI 0.92-1.61; p = 0.16] or all-cause mortality (OR 0.80, 95% CI 0.54-1.20; p = 0.28). Similar results were found after multiple imputations for missing values. CONCLUSION: In women, higher UPF intake was associated with increased hypertension, but not incident CVD. These findings may support minimising UPFs within a healthy diet for women.

Associations of ultra-processed food consumption, circulating protein biomarkers, and risk of cardiovascular disease.

BACKGROUND: We aim to examine the association between ultra-processed foods (UPF) consumption and cardiovascular disease (CVD) risk and to identify plasma proteins associated with UPF. METHODS: This prospective cohort study included 26,369 participants from the Swedish Malmö Diet and Cancer Study, established in 1991-1996. Dietary intake was assessed using a modified diet history method, and UPF consumption was estimated using the NOVA classification system. A total of 88 selected CVD-related proteins were measured among 4475 subjects. Incident CVD (coronary heart disease and ischemic stroke) was defined as a hospital admission or death through registers. Cox proportional hazards regression models were performed to analyze the associations of UPF intake with risks of CVD. Linear regression models were used to identify the plasma proteins associated with UPF intake. RESULTS: During 24.6 years of median follow-up, 6236 participants developed CVD, of whom 3566 developed coronary heart disease and 3272 developed ischemic stroke. The adjusted hazard ratio (95% confidence interval) in the 4th versus 1st quartile of UPF was 1.18 (1.08, 1.29) for CVD, 1.20 (1.07, 1.35) for coronary heart disease, and 1.17 (1.03, 1.32) for ischemic stroke. Plasma proteins interleukin 18, tumor necrosis factor receptor 2, macrophage colony-stimulating factor 1, thrombomodulin, tumor necrosis factor receptor 1, hepatocyte growth factor, stem cell factor, resistin, C-C motif chemokine 3, and endothelial cell-specific molecule 1 were positively associated with UPF after correcting for multiple testing. CONCLUSIONS: Our study showed that high UPF intake increased the risk of CVD and was associated with several protein biomarkers. Future studies are warranted to validate these findings and assess the potential pathways between UPF intake and CVD.

Associations between ultra-processed food consumption and kidney function in an older adult population with metabolic syndrome.

BACKGROUND & AIMS: Ultra-processed food (UPF) consumption has increased dramatically over the last decades worldwide. Although it has been linked to some cardiometabolic comorbidities, there is limited evidence regarding kidney function. This study aimed to cross-sectionally and longitudinally assess the association between UPF consumption and estimated-glomerular filtration rate (eGFR) based on Cystatin C (CysC). METHODS: Older adults (mean age 65 ± 5.0 years, 46% women) with overweight/obesity and metabolic syndrome (MetS) who had available data of CysC at baseline (n = 1909), at one-year and at 3-years of follow-up (n = 1700) were analyzed. Food consumption was assessed using a validated 143-item semi-quantitative food frequency questionnaire and UPF consumption (% of g/d) at baseline and changes after one-year of follow-up were estimated according to NOVA classification system. Multivariable-adjusted linear and logistic regression models were performed to evaluate the cross-sectional associations between UPF consumption with eGFR levels and decreased kidney function (eGFR <60 ml/min/1.73 m2) at baseline. Multivariable-adjusted mixed-effects linear regression models were fitted to investigate the associations between one-year changes in UPF and eGFR over 3-years of follow-up. RESULTS: Individuals with the highest baseline UPF consumption showed lower eGFR (ß: -3.39 ml/min/1.73 m2; 95% CI: -5.59 to -1.20) and higher odds of decreased kidney function (OR: 1.64; 95% CI: 1.21 to 2.22) at baseline, compared to individuals in the lowest tertile. Participants in the highest tertile of one-year changes in UPF consumption presented a significant decrease in eGFR after one-year of follow-up (ß: -1.45 ml/min/1.73 m2; 95% CI: -2.90 to -0.01) as well as after 3-years of follow-up (ß: -2.18 ml/min/1.73 m2; 95% CI: -3.71 to -0.65) compared to those in the reference category. CONCLUSIONS: In a Mediterranean population of older adults with overweight/obesity and MetS, higher UPF consumption at baseline and one-year changes towards higher consumption of UPF were associated with worse kidney function at baseline and over 3-years of follow-up, respectively. CLINICAL TRIAL REGISTRY NUMBER: ISRCTN89898870.