Association of Ultra-processed Food and Unprocessed or Minimally Processed Food Consumption With Bowel Habits Among U.S. Adults.

BACKGROUND & AIMS: Ultra-processed foods (UPFs) may have a negative impact on bowel habits. We aimed to assess the association between UPF and unprocessed or minimally processed food (MPF) intake and bowel habits among adults in the United States (U.S.). METHODS: We performed a cross-sectional study using data from the National Health and Nutrition Examination Survey (2005-2010). We used two 24-hour dietary recalls and, based on the Nova classification, calculated intakes of UPFs and MPFs. Constipation and diarrhea were defined using the Bristol Stool Form Scale and stool frequency. We performed survey-weighted logistic regression and substitution analysis to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Among 12,716 U.S. adults, there were 1290 cases of constipation and 1067 cases of diarrhea. Median UPF and MPF intakes were 26.5% and 66.2% of total grams per day, respectively. Greater UPF consumption (in % gram/d) was associated with higher odds of constipation (adjusted OR [aORQ4 vs Q1], 2.20; 95% CI, 1.76-2.74) (Ptrend < .001) but not diarrhea (aORQ4 vs Q1, 0.82; 95% CI, 0.62-1.09) (Ptrend = .12). Increased MPF consumption was associated with lower odds of constipation (aORQ4 vs Q1, 0.46; 95% CI, 0.370-0.57) (Ptrend < .001). Associations with constipation were attenuated after adjusting for diet quality (aORQ4 vs Q1, UPF, 1.53; MPF, 0.69). Substituting 10% of UPF intake with an equivalent proportion of MPFs was associated with lower odds of constipation (aOR, 0.90; 95% CI, 0.87-0.93). CONCLUSIONS: UPF intake was associated with higher odds of constipation, whereas the odds were lower with greater MPF consumption. The effect of food processing on bowel habits was independent of diet quality.

Association of ultra-processed food consumption with muscle mass among young and middle-aged US adults.

INTRODUCTION: Muscle mass is vital for physical activity and fundamental physiological processes supporting long-term health. While aging is inevitable, certain modifiable factors positively influence muscle preservation and overall well-being. However, the relationship between the consumption of ultra-processed foods (UPF) and muscle mass is not yet clear. METHODS: This study included 7,173 men and nonpregnant women aged 20-59 years with valid 24-hour dietary recalls and accessible whole-body dual-energy x-ray absorptiometry (DXA) scans from NHANES 2011-2018. UPFs were identified through the NOVA classification system, and the percentage of energy derived from UPF consumption was evaluated in quintiles. Muscle mass measures were derived from DXA scans and quantified by the total and regional muscle mass index (MMI, kg/m²) and appendicular muscle mass index (AMMI, kg/m²). Multivariable-adjusted generalized linear regression models were applied to investigate the association between consumption of UPFs and muscle mass measures overall and by sociodemographic subgroups. RESULTS: The multivariable-adjusted differences of total MMI from the lowest to highest quintile of UPF consumption were 0 (reference), -0.03 (95% CI, -0.13, 0.07), -0.13 (95%CI, -0.24, -0.04), -0.12 (95% CI, -0.23, -0.01), and - 0.17 (95% CI, -0.27, -0.08) (P for trend < 0.001). Subtotal MMI followed a similar magnitude of associational pattern as total MMI. For trunk MMI, corresponding values from the lowest to highest quintiles of UPF consumption were 0 (reference), -0.02 (95% CI, -0.07, 0.02), -0.05 (95%CI, -0.11, 0.00), -0.07 (95% CI, -0.13, -0.01), and - 0.07 (95% CI, -0.12, -0.01). For AMMI, corresponding values from the lowest to highest quintiles of UPF consumption were 0 (reference), -0.004 (95% CI, -0.07, 0.06), -0.08 (95%CI, -0.14, -0.02), -0.05 (95% CI, -0.11, 0.02), and - 0.10 (95% CI, -0.16, -0.04) (All P for trend < 0.001). While most subgroups maintained similar overall patterns, heterogeneous findings were also observed. For example, the multivariable-adjusted differences in total MMI between the lowest and highest quantile of UPF consumption were - 0.19 (95% CI, -0.32, -0.06) for non-Hispanic Whites, 0.18 (95% CI, 0.01, 0.36) for non-Hispanic Blacks, -0.25 (95%CI, -0.45, -0.04) for Hispanics, -0.25 (95% CI, -0.51, 0.05) for non-Hispanic Asians and - 0.32 (95% CI, -0.75, 0.12) for others (P for interaction < 0.001). CONCLUSION: Higher consumption of UPFs was significantly associated with lower values of total and regional muscle mass. Specifically, comparing the highest quantile of UPF consumption to the lowest, total MMI decreased by 0.93%, trunk MMI decreased by 0.76%, and AMMI decreased by 1.25%. The differences in associational patterns between UPF consumption and muscle mass across sociodemographic subgroups require further investigation.

Identifying and Estimating Ultraprocessed Food Intake in the US NHANES According to the Nova Classification System of Food Processing.

BACKGROUND: The degree of food processing may be an important dimension of diet in how it relates to health outcomes. A major challenge is standardizing food processing classification systems for commonly used datasets. OBJECTIVES: To standardize and increase transparency in its application, we describe the approach used to classify foods and beverages according to the Nova food processing classification in the 24-h dietary recalls from the 2001-2018 cycles of What We Eat in America (WWEIA), NHANES, and investigate variability and potential for Nova misclassification within WWEIA, NHANES 2017-2018 data via various sensitivity analyses. METHODS: First, we described how the Nova classification system was applied to the 2001-2018 WWEIA, NHANES data using the reference approach. Second, we calculated the percentage energy from Nova groups [1: unprocessed or minimally processed foods, 2: processed culinary ingredients, 3: processed foods, and 4: ultraprocessed foods (UPFs)] for the reference approach using day 1 dietary recall data from non-breastfed participants aged ≥1 y from the 2017-2018 WWEIA, NHANES. We then conducted 4 sensitivity analyses comparing potential alternative approaches (e.g., opting for more vs. less degree of processing for ambiguous items) to the reference approach, to assess how estimates differed. RESULTS: The energy contribution of UPFs using the reference approach was 58.2% ± 0.9% of the total energy; unprocessed or minimally processed foods contributed 27.6% ± 0.7%, processed culinary ingredients contributed 5.2% ± 0.1%, and processed foods contributed 9.0% ± 0.3%. In sensitivity analyses, the dietary energy contribution of UPFs ranged from 53.4% ± 0.8% to 60.1% ± 0.8% across alternative approaches. CONCLUSIONS: We present a reference approach for applying the Nova classification system to WWEIA, NHANES 2001-2018 data to promote standardization and comparability of future research. Alternative approaches are also described, with total energy from UPFs differing by ∼6% between approaches for 2017-2018 WWEIA, NHANES.

Association between ultra-processed food consumption and cognitive performance in US older adults: a cross-sectional analysis of the NHANES 2011-2014.

PURPOSE: This study evaluated the association between ultra-processed food (UPF) consumption and cognitive performance among older US adults. METHODS: This cross-sectional study assessed 3632 participants aged 60+ years from the National Health and Nutrition Examination Survey (NHANES) 2011-14. Cognitive performance was assessed using the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Word Learning test, Animal Fluency test, and the Digit Symbol Substitution test (DSST). Dietary intake was assessed using two 24-h diet recalls. Food items were classified according to the NOVA system, a classification based on the nature, extent, and purpose of industrial food processing. Linear regression models were used to evaluate the association of dietary share of UPF (% of daily energy intake) (categorized as tertiles) and cognitive test scores, adjusting for socio-demographic variables, physical activity, smoking status, and chronic diseases (cardiovascular diseases, diabetes, and depression). Models excluding participants with pre-existing diseases were carried out to address potential reverse causality. RESULTS: On average, UPF accounted for 53% of total energy intake, ranging from 33 to 70% across extreme tertiles. Inverted U-shape association between UPF consumption and Animal fluency and DSST was observed. No significant associations were observed between the UPF intake tertiles and the cognitive test results. Nonetheless, UPF consumption was significantly associated with worse performance in Animal Fluency in older adults without pre-existing diseases (P < 0.05). CONCLUSION: UPF consumption was associated with worse performance in Animal Fluency among older people without pre-existing diseases. Decreasing UPF consumption may be a way to improve impaired cognition among older adults.

The impact of acculturation to the US environment on the dietary share of ultra-processed foods among US adults.

This study examined the association between measures of acculturation to the US environment including place of birth, and language spoken at home and proportion of life in the US among foreign-born, in relation to the dietary contribution of ultra-processed foods. Ultra-processed foods, as defined by the NOVA food classification system, are formulations of macronutrients (starches, sugars, fats and protein isolates) with little, if any, whole food and often with added flavors, colors, emulsifiers and other cosmetic additives. We studied 14,663 participants from the National Health and Nutrition Examination Survey 2011-2016, aged 20+ years, who completed a 1-day 24-h dietary recall. Food items were classified using NOVA into ultra-processed or non-ultra-processed foods. Linear regression models adjusted for age, sex, family income, education and race/ ethnicity, showed significant associations between general acculturation measures and dietary contribution of ultra-processed foods. Foreign-born adults consumed less ultra-processed foods than US-born adults (45 vs. 58%, p < 0.001). Within foreign-born adults, ultra-processed food consumption increased with English permeation at home from 40% among individuals speaking non-English languages only to 50% among those speaking English only (p for linear trend <0.001). In addition, ultra-processed food consumption increased from 41% among foreign-born adults who spent less than 30% of their life in the US to 48% among those who lived in the US for more than 50% of their lives (p for linear trend <0.001). Race/ethnicity emerged as an important effect modifier for the observed associations.

Ultra-processed food consumption drives excessive free sugar intake among all age groups in Australia.

OBJECTIVE: To analyze the contribution of ultra-processed foods to the intake of free sugars among different age groups in Australia. METHODS: Dietary intakes of 12,153 participants from the National Nutrition and Physical Activity Survey (2011-12) aged 2+ years were evaluated. Food items collected through two 24-h recalls were classified according to the NOVA system. The contribution of each NOVA food group and their subgroups to total energy intake was determined by age group. Mean free sugar content in diet fractions made up exclusively of ultra-processed foods, or of processed foods, or of a combination of un/minimally processed foods and culinary ingredients (which includes table sugar and honey) were compared. Across quintiles of the energy contribution of ultra-processed foods, differences in the intake of free sugars, as well as in the prevalence of excessive free sugar intake (≥ 10% of total energy) were examined. RESULTS: Ultra-processed foods had the highest energy contribution among children, adolescents and adults in Australia, with older children and adolescents the highest consumers (53.1% and 54.3% of total energy, respectively). The diet fraction restricted to ultra-processed items contained significantly more free sugars than the two other diet fractions. Among all age groups, a positive and statistically significant linear association was found between quintiles of ultra-processed food consumption and both the average intake of free sugars and the prevalence of excessive free sugar intake. CONCLUSION: Ultra-processed food consumption drives excessive free sugar intake among all age groups in Australia.

The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil.

OBJECTIVE: To estimate the dietary share of ultra-processed foods and to determine its association with the overall nutritional quality of diets in Brazil. DESIGN: Cross-sectional. SETTING: Brazil. SUBJECTS: A representative sample of 32 898 Brazilians aged ≥10 years was studied. Food intake data were collected. We calculated the average dietary content of individual nutrients and compared them across quintiles of energy share of ultra-processed foods. Then we identified nutrient-based dietary patterns, and evaluated the association between quintiles of dietary share of ultra-processed foods and the patterns' scores. RESULTS: The mean per capita daily dietary energy intake was 7933 kJ (1896 kcal), with 58·1 % from unprocessed or minimally processed foods, 10·9 % from processed culinary ingredients, 10·6 % from processed foods and 20·4 % from ultra-processed foods. Consumption of ultra-processed foods was directly associated with high consumption of free sugars and total, saturated and trans fats, and with low consumption of protein, dietary fibre, and most of the assessed vitamins and minerals. Four nutrient-based dietary patterns were identified. 'Healthy pattern 1' carried more protein and micronutrients, and less free sugars. 'Healthy pattern 2' carried more vitamins. 'Healthy pattern 3' carried more dietary fibre and minerals and less free sugars. 'Unhealthy pattern' carried more total, saturated and trans fats, and less dietary fibre. The dietary share of ultra-processed foods was inversely associated with 'healthy pattern 1' (-0·16; 95 % CI -0·17, -0·15) and 'healthy pattern 3' (-0·18; 95 % CI -0·19, -0·17), and directly associated with 'unhealthy pattern' (0·17; 95 % CI 0·15, 0·18). CONCLUSIONS: Dietary share of ultra-processed foods determines the overall nutritional quality of diets in Brazil.

Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults.

OBJECTIVES: The aim of this study was to evaluate the relationship between the consumption of ultra-processed foods and obesity indicators among Brazilian adults and adolescents. METHODS: We used cross-sectional data on 30,243 individuals aged ≥10 years from the 2008-2009 Brazilian Dietary Survey. Food consumption data were collected through 24-h food records. We classified food items according to characteristics of food processing. Ultra-processed foods were defined as formulations made by the food industry mostly from substances extracted from foods or obtained with the further processing of constituents of foods or through chemical synthesis, with little if any whole food. Examples included candies, cookies, sugar-sweetened beverages, and ready-to-eat dishes. Regression models were fitted to evaluate the association of the consumption of ultra-processed foods (% of energy intake) with body-mass-index, excess weight, and obesity status, controlling for socio-demographic characteristics, smoking, and physical activity. RESULTS: Ultra-processed foods represented 30% of the total energy intake. Those in the highest quintile of consumption of ultra-processed foods had significantly higher body-mass-index (0.94 kg/m(2); 95% CI: 0.42,1.47) and higher odds of being obese (OR=1.98; 95% CI: 1.26,3.12) and excess weight (OR=1.26; 95% CI: 0.95,1.69) compared with those in the lowest quintile of consumption. CONCLUSION: Our findings support the role of ultra-processed foods in the obesity epidemic in Brazil.

Behavioural patterns of protective and risk factors for non-communicable diseases in Brazil.

OBJECTIVE: To identify behavioural patterns of protective and risk factors for non-communicable diseases (NCD) and to explore the association between these patterns and sociodemographic characteristics. DESIGN: Principal component analysis was used to identify behavioural patterns from a list of twelve protective and risk factors for NCD. Linear regression was used to explore the association between the patterns and sociodemographic characteristics. SETTING: Participants from the Brazilian Surveillance System of Risk and Protective Factors for NCD through Telephone Interviews (VIGITEL) from the years 2009 and 2010 were included. SUBJECTS: A sample of 108 706 adults was included in the analysis. RESULTS: Two behavioural patterns were identified in the analysis, a 'prudent pattern' and a 'risky pattern'. The first involved mostly protective behaviours, while the second one involved essentially the risky ones. Both the less prudent and the more risky behaviour patterns were concentrated in younger men, with lower education, from the more developed region. CONCLUSIONS: Public policies to decrease NCD should be aware of the possible tendency towards behavioural patterns in order to be more effective.

Relationship Between Ultra-Processed and Minimally Processed Food Intake and Cardiovascular Health Among US Women of Reproductive Age.

Objectives: Ultra-processed food (UPF) intake is associated with worse cardiovascular health (CVH), but associations between unprocessed/minimally processed foods (MPFs) and CVH are limited, especially among women of reproductive age (WRA). Materials and Methods: For 5,773 WRA (20-44 years) in National Health and Nutrition Examination Survey (NHANES) 2007-2018, we identified UPFs and MPFs using the Nova classification and based on 24-hour dietary recalls. We calculated usual percentages of calories from UPFs and MPFs using the National Cancer Institute's usual intake method. Seven CVH metrics were scored, and CVH levels were grouped by tertile. We used multivariable linear and multinomial logistic regression to assess associations between UPFs and MPFs and CVH. Results: The average usual percentage of calories from UPFs and MPFs was 57.2% and 29.3%, respectively. There was a graded, positive association between higher UPF intake and higher odds of poor CVH: adjusted odds ratios (aORs) for the lowest versus highest CVH were 1.74 (95% confidence interval: 1.51-2.01), 2.67 (2.07-3.44) and 4.66 (3.13-6.97), respectively, comparing quartile 2 (Q2)-Q4 to the lowest quartile (Q1) of UPF intake. Higher MPF intake was associated with lower odds of poor CVH: aORs for the lowest CVH were 0.61 (0.54-0.69), 0.39 (0.31-0.50), and 0.21 (0.14-0.31). Patterns of association remained consistent across subgroups and in sensitivity analyses. Conclusions: Higher UPF intake was associated with worse CVH, while higher MPF intake was associated with better CVH among WRA in the United States. Our analyses highlight an opportunity for WRA to improve nutrition and their CVH.

Ultra-processed food consumption and mortality among patients with stages I-III colorectal cancer: a prospective cohort study.

Background: Ultra-processed foods (UPFs) are emerging as a risk factor for colorectal cancer (CRC), yet how post-diagnostic UPF intake may impact CRC prognosis remains unexplored. Methods: Data collected from food frequency questionnaires were used to estimate intakes of total UPFs and UPF subgroups (serving/d) at least 6 months but less than 4 years post-diagnosis among 2498 patients diagnosed with stages I-III CRC within the Nurses' Health Study and Health Professionals Follow-up Study during 1980-2016. Hazard ratios (HR) and 95% confidence intervals (CIs) of all-cause, CRC- and cardiovascular disease (CVD)-specific mortality in association with UPF consumption were estimated using an inverse probability weighted multivariable Cox proportional hazards regression model, adjusted for confounders. Findings: The mean (SD) age of patients at diagnosis was 68.5 (9.4) years. A total of 1661 deaths were documented, including 321 from CRC and 335 from CVD. Compared to those in the lowest quintile (median = 3.6 servings/d), patients in the highest quintile (median = 10 servings/d) of post-diagnostic UPF intake had higher CVD mortality (HR = 1.65, 95% CI = 1.13-2.40) but not CRC or all-cause mortality. Among UPF subgroups, higher consumption of fats/condiments/sauces was associated with a higher risk of CVD-specific mortality (highest vs. lowest quintile of intake, HR = 1.96, 95% CI = 1.41-2.73), and higher intake of ice cream/sherbet was associated with an increased risk of CRC-specific mortality (highest vs. lowest quintile, HR = 1.86, 95% CI: 1.33-2.61). No statistically significant association was found between UPF subgroups and overall mortality. Interpretation: Higher post-diagnostic intake of total UPFs and fats/condiments/sauces in CRC survivors is associated with higher CVD mortality, and higher ice cream/sherbet intake is linked to higher CRC mortality. Funding: US National Institutes of Health and the American Cancer Society.

Consumption of Ultraprocessed Foods and Body Fat Distribution Among U.S. Adults.

INTRODUCTION: The association between ultraprocessed food consumption and body composition and potential variations by sociodemographic factors is unclear. This study aims to examine the cross-sectional associations of ultraprocessed food consumption with imaging markers of body fat distribution in a nationally representative sample of U.S. adults, overall and by sociodemographic strata. METHODS: A total of 9,640 men and nonpregnant women aged 20-59 years were included from 4 cycles (2011-2012, 2013-2014, 2015-2016, 2017-2018) of the National Health and Nutrition Examination Survey with valid 24-hour dietary recalls and available whole-body dual-energy x-ray absorptiometry scans. Ultraprocessed foods were identified using the NOVA classification, with percentage energy from ultraprocessed food assessed in quintiles. Primary outcomes were absolute percentage fat (total, android, gynoid), and secondary ones were percentage fat (head, arm, leg, trunk), total abdominal fat (area, mass, volume), subcutaneous adipose tissue (area, mass, volume), and visceral adipose tissue (area, mass, volume). Multivariable-adjusted generalized linear regressions estimated independent relationships of ultraprocessed food intake with body composition overall and by sociodemographic subgroups. Analyses were conducted in September 2022 and January 2023. RESULTS: Ultraprocessed food consumption accounted for more than half (55.5%) of daily energy consumption in this sample. Adults in the highest quintile (>72.1% energy) had 1.60 higher total percentage fat (95% CI=0.94, 2.26), 2.08 higher android percentage fat (95% CI=1.26, 2.89), and 1.32 higher gynoid percentage fat (95% CI=0.71, 1.93) than those in the lowest quintile of ultraprocessed food consumption (<39.4% energy) (all p-trend<0.001). Consistent findings were observed for secondary outcomes. Associations of ultraprocessed food intake with total percentage fat, android percentage fat, and gynoid percentage fat varied by age, sex, race and ethnicity, education, and income. Among those in the highest quintile of ultraprocessed food consumption compared with the lowest quintile counterpart, total percentage fat was 1.85 (95% CI=0.86, 2.84) higher for non-Hispanic White adults and 1.57 (95% CI=0.68, 2.46) higher for Hispanic adults (p-trends<0.001), whereas no difference was observed among non-Hispanic Black adults (-0.22; 95% CI= -0.93, 1.36) (p-trend=0.47) and non-Hispanic Asian adults (0.93; 95% CI= -0.57, 2.42) (p-trend=0.04) (p-interaction=0.001). Associational patterns were similar for android percentage fat and gynoid percentage fat. CONCLUSIONS: In a national U.S. sample, higher intake of ultraprocessed food was associated with greater body fat, in particular android fat, and this relationship was most prominent in certain population subgroups. These cross-sectional findings call for prospective and interventional studies to assess the impact of ultraprocessed food on body composition in different populations.

Score of ultra-processed food consumption and its association with sociodemographic factors in the Brazilian National Health Survey, 2019.

This is a cross-sectional population-based study that describes the score of ultra-processed food consumption, applied in the Brazilian National Health Survey performed in 2019, and its association with sociodemographic factors in Brazilian adults (18 years or older). The score of ultra-processed food consumption was calculated by adding up the positive answers about the consumption on the previous day of 10 subgroups of ultra-processed foods frequently consumed in Brazil. The distribution of the score in the population was presented as a count. Poisson regression models were used to evaluate the crude and adjusted associations of scores equal to or higher than five subgroups of ultra-processed foods with urban/rural area, geographic region, sex, age group, schooling level, and wealth index. About 15% of the Brazilian adults reached scores equal to or higher than five. After adjustment for confounders, the prevalence of consuming five or more subgroups of ultra-processed foods decreased linearly with age, increased linearly with wealth quintiles and it was higher in urban areas, in the Southeast and South regions (compared to the others) and in men. Public policies that reduce the consumption of ultra-processed foods with emphasis on strata of the population at the greatest risk are essential and monitoring the score of ultra-processed food consumption across studies and populations will be important to assess the success of these policies.

Changes in Obesity Prevalence Attributable to Ultra-Processed Food Consumption in Brazil Between 2002 and 2009.

Objectives: To quantify the impact of temporal changes in the consumption of ultra-processed foods on obesity trends in Brazil between 2002 and 2009. Methods: We analyzed data from two Household Budget Surveys carried out in 2002/2003 (n = 182,333) and 2008/2009 (n = 190,159), which provided information on household food acquisition and individuals' weight and height. We examined the association between ultra-processed foods consumption and obesity and quantified the fraction of increase in obesity prevalence attributable to the rise in the consumption of ultra-processed foods. Results: From 2002 to 2009, there was an increase in the obesity prevalence from 9.9% (95% CI 9.3; 10.4) to 13.2% (12.8; 13.7) while the contribution of ultra-processed foods to total energy consumption raised from 14.3% (13.4; 15.1) to 17.3% (16.5; 18.1). Ultra-processed foods consumption was positively associated with obesity prevalence. More than one quarter (28.6%) of the increase in obesity prevalence was attributable to the rise in the consumption of ultra-processed foods in the period. Conclusion: We found that the rise in the consumption of ultra-processed foods played a major role on the increase of obesity epidemic in Brazil.

Relationship Between Ultraprocessed Food Intake and Cardiovascular Health Among U.S. Adolescents: Results From the National Health and Nutrition Examination Survey 2007-2018.

PURPOSE: Studies of the association between ultraprocessed foods (UPF) and cardiovascular disease risk factors have been mainly focused on the adult population. This study examined the association between usual percentage of calories (%kcal) from UPF and the American Heart Association's seven cardiovascular health (CVH) metrics among U.S. adolescents aged 12-19 years. METHODS: We used data from the National Health and Nutrition Examination Survey 2007-2018 (n = 5,565). The NOVA food system was used to classify UPF according to the extent and purpose of food processing. Each CVH metric was given a score of 0, 1, or 2 (poor, intermediate, or ideal health, respectively). Scores of six metrics were summed (excluding diet) to categorize CVH as low (0-7), moderate (8-10), or high (11-12). The National Cancer Institute's methods were used to estimate usual %kcal from UPF. Multivariable linear regression and multinomial logistic regression were used to evaluate the association between UPF and CVH. RESULTS: Among youth, 12.1% had low CVH, 56.3% moderate, and 31.6% high. The mean usual %kcal from UPF was 65.7%. Every 5% increase in calories from UPF was associated with .13 points lower CVH scores (p < .001). Comparing Q2, Q3, and Q4 to Q1 of UPF intake, the adjusted odds ratios for low versus high CVH were 1.43 (95% confidence interval 1.16-1.76), 1.86 (1.29-2.66), and 2.59 (1.49-4.55), respectively. The pattern of association was largely consistent across subgroups. CONCLUSIONS: U.S. adolescents consume about two thirds of daily calorie from UPF. There was a graded inverse association between %kcal from UPF and CVH score.

Consumption of Ultraprocessed Foods and Diet Quality Among U.S. Children and Adults.

INTRODUCTION: Consumption of ultraprocessed foods has been linked with higher intake of added sugars, sodium, and unhealthful fats, but the associations of ultraprocessed foods with overall diet quality and major food groups are not well known. METHODS: Data were derived from the National Health and Nutrition Examination Survey (2015-2018), including 9,758 adults (aged ≥20 years) and 5,280 children (aged 2-19 years) with 24-hour dietary recalls (≥1), with analysis performed in 2020. Ultraprocessed foods were identified using the NOVA classification, with intake (% energy) assessed in quintiles. Diet quality was assessed using the validated American Heart Association 2020 continuous primary and secondary diet scores and Healthy Eating Index 2015. Poor diet was defined as <40% adherence to the American Heart Association secondary score. Generalized linear regressions estimated relationships between ultraprocessed food intake and diet quality. RESULTS: Compared with the lowest quintile of ultraprocessed food consumption (<39.1% energy), the American Heart Association primary score in adults was progressively lower in Quintile 2 (-1.99, 95% CI= -2.73, -1.25), Quintile 3 (-3.60, 95% CI= -4.47, -2.72), Quintile 4 (-5.29, 95% CI= -6.28, -4.30), and Quintile 5 (-7.24, 95% CI= -8.13, -6.36; >70.7% energy). Corresponding values in children were -2.05 (95% CI= -3.01, -1.09), -2.97 (95% CI= -4.16, -1.79), -3.82 (95% CI= -5.20, -2.44), and -6.22 (95% CI= -7.20, -5.25; >79.0% energy). The estimated proportion of children having poor diet progressively increased from 31.3% (95% CI=26.2%, 36.5%) in Quintile 1 up to 71.6% (95% CI=68.1%, 75.1%) in Quintile 5. Corresponding proportions of adults having poor diet increased from 18.1% (95% CI=14.3%, 22.0%) in Quintile 1 up to 59.7% (95% CI=55.3%, 64.1%) in Quintile 5. Findings were similar using the American Heart Association secondary score and Healthy Eating Index 2015 score. CONCLUSIONS: Higher ultraprocessed food consumption is associated with substantially lower diet quality among children and adults.

Corrigendum: Changes in Obesity Prevalence Attributable to Ultra-Processed Food Consumption in Brazil Between 2002 and 2009.

[This corrects the article DOI: 10.3389/ijph.2022.1604103.].

Associations between ultra- or minimally processed food intake and three adiposity indicators among US adults: NHANES 2011 to 2016.

OBJECTIVE: Ultraprocessed food (UPF) intake is associated with BMI, but effects on regional adipose depots or related to minimally processed food (MPF) intake are unknown. METHODS: Data included 12,297 adults in the National Health and Nutrition Examination Survey (NHANES), 2011 to 2016. This study analyzed associations between usual percentage of kilocalories from UPFs and MPFs and three adiposity indicators: supine sagittal abdominal diameter to height ratio (SADHtR, estimates visceral adiposity); waist circumference to height ratio (WHtR, estimates abdominal adiposity); and BMI, using linear and multinomial logistic regression. RESULTS: Standardized ß coefficients per 10% increase in UPF intake were 0.0926, 0.0846, and 0.0791 for SADHtR, WHtR, and BMI, respectively (all p < 0.001; p > 0.26 for pairwise differences). For MPF intake, the ß coefficients were -0.0901, -0.0806, and -0.0688 (all p < 0.001; p > 0.18 pairwise). Adjusted odds ratios (95% CI) for adiposity tertile 3 versus tertile 1 (comparing UPF intake quartiles 2, 3, and 4 to quartile 1) were 1.33 (1.22-1.45), 1.67 (1.43-1.95), and 2.24 (1.76-2.86), respectively, for SADHtR; 1.31 (1.19-1.44), 1.62 (1.37-1.91), and 2.13 (1.63-2.78), respectively, for WHtR; and 1.27 (1.16-1.39), 1.53 (1.31-1.79), and 1.96 (1.53-2.51), respectively, for BMI. MPF intake showed inverse associations with similar trends in association strength. CONCLUSIONS: Among US adults, abdominal and visceral adiposity indictors were positively associated with UPFs and inversely associated with MPFs.

Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil.

OBJECTIVE: To study the association between ultra-processed food consumption and carbon and water footprints of the Brazilian diet. METHODS: Cross-sectional analysis on data collected in 2008-2009 on a probabilistic sample of the Brazilian population aged ≥ 10 years (n = 32,886). Individual food intake was assessed using two 24-hour food records, on non-consecutive days. The environmental impact of individual diets was calculated by multiplying the amount of each food by coefficients that quantify the atmospheric emissions of greenhouse gases in grams of carbon dioxide equivalent (carbon footprint) and freshwater use in liters (water footprint), both per gram or milliliter of food. The two coefficients consider the food life cycle 'from farm to fork.' Crude and adjusted linear regression models and tests for linear trends assessed the association between the ultra-processed food contribution to total energy intake (quintiles) and the diet carbon and water footprints. Potential confounders included age, sex, education, income, and region. Total energy intake was assessed as a potential mediation variable. RESULTS: In the crude models, the dietary contribution of ultra-processed foods was linearly associated with the carbon and water footprints of the Brazilian diet. After adjustment for potential confounders, the association remained significant only regarding the diet water footprint, which increased by 10.1% between the lowest and highest quintile of the contribution of ultra-processed foods. Additional adjustment for total energy intake eliminated this association indicating that the dietary contribution of ultra-processed foods increases the diet water footprint by increasing energy intake. CONCLUSIONS: The negative impact of ultra-processed foods on the diet water footprint, shown for the first time in this study, adds to the negative impacts of these foods, already demonstrated regarding dietary nutrient profiles and the risk for several chronic non-communicable diseases. This reinforces the recommendation to avoid ultra-processed foods made in the official Brazilian Dietary Guidelines and increasingly in dietary guidelines of other countries.

Association of ultra-processed food consumption with colorectal cancer risk among men and women: results from three prospective US cohort studies.

OBJECTIVE: To examine the association between consumption of ultra-processed foods and risk of colorectal cancer among men and women from three large prospective cohorts. DESIGN: Prospective cohort study with dietary intake assessed every four years using food frequency questionnaires. SETTING: Three large US cohorts. PARTICIPANTS: Men (n= 46 341) from the Health Professionals Follow-up Study (1986-2014) and women (n=159 907) from the Nurses' Health Study (1986-2014; n=67 425) and the Nurses' Health Study II (1991-2015; n=92 482) with valid dietary intake measurement and no cancer diagnosis at baseline. MAIN OUTCOME MEASURE: Association between ultra-processed food consumption and risk of colorectal cancer, estimated using time varying Cox proportional hazards regression models adjusted for potential confounding factors. RESULTS: 3216 cases of colorectal cancer (men, n=1294; women, n=1922) were documented during the 24-28 years of follow-up. Compared with those in the lowest fifth of ultra-processed food consumption, men in the highest fifth of consumption had a 29% higher risk of developing colorectal cancer (hazard ratio for highest versus lowest fifth 1.29, 95% confidence interval 1.08 to 1.53; P for trend=0.01), and the positive association was limited to distal colon cancer (72% increased risk; hazard ratio 1.72, 1.24 to 2.37; P for trend<0.001). These associations remained significant after further adjustment for body mass index or indicators of nutritional quality of the diet (that is, western dietary pattern or dietary quality score). No association was observed between overall ultra-processed food consumption and risk of colorectal cancer among women. Among subgroups of ultra-processed foods, higher consumption of meat/poultry/seafood based ready-to-eat products (hazard ratio for highest versus lowest fifth 1.44, 1.20 to 1.73; P for trend<0.001) and sugar sweetened beverages (1.21, 1.01 to 1.44; P for trend=0.013) among men and ready-to-eat/heat mixed dishes among women (1.17, 1.01 to 1.36; P for trend=0.02) was associated with increased risk of colorectal cancer; yogurt and dairy based desserts were negatively associated with the risk of colorectal cancer among women (hazard ratio 0.83, 0.71 to 0.97; P for trend=0.002). CONCLUSIONS: In the three large prospective cohorts, high consumption of total ultra-processed foods in men and certain subgroups of ultra-processed foods in men and women was associated with an increased risk of colorectal cancer. Further studies are needed to better understand the potential attributes of ultra-processed foods that contribute to colorectal carcinogenesis.