scholarly journals Ultra-processed food consumption and excess weight among US adults

2018 ◽  
Vol 120 (1) ◽  
pp. 90-100 ◽  
Author(s):  
Filippa Juul ◽  
Euridice Martinez-Steele ◽  
Niyati Parekh ◽  
Carlos A. Monteiro ◽  
Virginia W. Chang
Keyword(s):  
Food Consumption ◽  
Abdominal Obesity ◽  
Excess Weight ◽  
Processed Foods ◽  
Processed Food ◽  
Cross Sectional ◽  
Added Sugars ◽  
Nationally Representative ◽  
Sectional Analysis ◽  
Dietary Data

AbstractUltra-processed foods provide 58 % of energy intake and 89 % of added sugars in the American diet. Nevertheless, the association between ultra-processed foods and excess weight has not been investigated in a US sample. The present investigation therefore aims to examine the association between ultra-processed foods and excess weight in a nationally representative sample of US adults. We performed a cross-sectional analysis of anthropometric and dietary data from 15 977 adults (20–64 years) participating in the National Health and Nutrition Examination Survey 2005–2014. Dietary data were collected by 24-h recall. Height, weight and waist circumference (WC) were measured. Foods were classified as ultra-processed/non-ultra-processed according to the NOVA classification. Multivariable linear and logistic regression was used to evaluate the association between ultra-processed food consumption (% energy) and BMI, WC and odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity (men: WC≥102 cm, women: WC≥88 cm). Prevalence of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity was 69·2, 36·1 and 53·0 %, respectively. Consuming ≥74·2 v. ≤36·5 % of total energy from ultra-processed foods was associated with 1·61 units higher BMI (95 % CI 1·11, 2·10), 4·07 cm greater WC (95 % CI 2·94, 5·19) and 48, 53 and 62 % higher odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity, respectively (OR 1·48; 95 % CI 1·25, 1·76; OR 1·53; 95 % CI 1·29, 1·81; OR 1·62; 95 % CI 1·39, 1·89, respectively; Pfor trend<0·001 for all). A significant interaction between being female and ultra-processed food consumption was found for BMI (F4,79=4·89, P=0·002), WC (F4,79=3·71, P=0·008) and BMI≥25 kg/m2 (F4,79=5·35, P<0·001). As the first study in a US population, our findings support that higher consumption of ultra-processed food is associated with excess weight, and that the association is more pronounced among women.

scholarly journals Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e020574 ◽  
Author(s):  
Larissa Galastri Baraldi ◽  
Euridice Martinez Steele ◽  
Daniela Silva Canella ◽  
Carlos Augusto Monteiro
Keyword(s):  
Food Consumption ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Processed Foods ◽  
Processed Food ◽  
Sectional Study ◽  
Cross Sectional ◽  
Dietary Recall ◽  
The Usa ◽  
Nationally Representative

ObjectivesTo compare ultra-processed food consumption across sociodemographic groups and over time (2007–2008, 2009–2010, 2011–2012) in the USA.DesignCross-sectional study.SettingNational Health and Nutrition Examination Survey (NHANES) 2007–2012.ParticipantsAll individuals aged ≥2 years with at least one 24-hour dietary recall were included (n=23 847).Main outcome measuresAverage dietary contribution of ultra-processed foods (expressed as a percentage of the total caloric value of the diet), obtained after classifying all food items according to extent and purpose of industrial food processing using NOVA classification.Data analysisLinear regression was used to evaluate the association between sociodemographic characteristics or NHANES cycles and dietary contribution of ultra-processed foods.ResultsAlmost 60% of calories consumed in the period 2007–2012 came from ultra-processed foods. Consumption of ultra-processed foods decreased with age and income level, was higher for non-Hispanic whites or non-Hispanic blacks than for other race/ethnicity groups and lower for people with college than for lower levels of education, all differences being statistically significant. Overall contribution of ultra-processed foods increased significantly between NHANES cycles (nearly 1% point per cycle), the same being observed among males, adolescents and high school education-level individuals.ConclusionsUltra-processed food consumption in the USA in the period 2007–2012 was overall high, greater among non-Hispanic whites or non-Hispanic blacks, less educated, younger, lower-income strata and increased across time.

scholarly journals Changes of Physical Activity and Ultra-Processed Food Consumption in Adolescents from Different Countries during Covid-19 Pandemic: An Observational Study

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2289 ◽  
Author(s):  
María Belén Ruíz-Roso ◽  
Patricia de Carvalho Padilha ◽  
Diana C. Matilla-Escalante ◽  
Paola Brun ◽  
Natalia Ulloa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latin America ◽  
Food Consumption ◽  
Healthy Lifestyle ◽  
Cross Sectional Study ◽  
Processed Foods ◽  
Processed Food ◽  
Cross Sectional ◽  
Consumption Data ◽  
Food Consumption Data

Aim: to describe physical activity and ultra-processed foods consumption, their changes and sociodemographic predictors among adolescents from countries in Europe (Italy and Spain) and Latin America (Brazil, Chile, and Colombia) during the SARS-CoV-2-pandemic period. Methods: Cross-sectional study via web survey. International Physical Activity Questionnaire (IPAQ) and weekly ultra-processed food consumption data were used. To compare the frequencies of physical activity status with sociodemographic variables, a multinomial logistic and a multiple logistic regression for habitual ultra-processed foods was performed. In final models, p < 0.05 was considered significant. Results: Sample of 726 adolescents, mostly females (59.6%) aged 16–19 years old (54.3%). Adolescents from Latin America presented odds ratio (OR) 2.98 (CI 95% 1.80–4.94) of being inactive and those whose mothers had higher level of education were less active during lockdown [OR 0.40 (CI 95% 0.20–0.84)]. The habitual ultra-processed consumption was also high during this period in all countries, and more prevalent in Latin America. Conclusion: A higher prevalence of inactivity was observed in this population, but reductions of physical activity and habitual ultra-processed consumption during the pandemic were more pronounced in Latin America. Our findings reinforce the importance of promoting a healthy lifestyle, i.e., exercise and diet, during periods of social isolation.

scholarly journals Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study

BMJ Open ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. e009892 ◽  
Author(s):  
Eurídice Martínez Steele ◽  
Larissa Galastri Baraldi ◽  
Maria Laura da Costa Louzada ◽  
Jean-Claude Moubarac ◽  
Dariush Mozaffarian ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Processed Foods ◽  
Sectional Study ◽  
Cross Sectional ◽  
Added Sugars ◽  
The Us ◽  
Nationally Representative

scholarly journals Unhealthy Food and Psychological Stress: The Association between Ultra-Processed Food Consumption and Perceived Stress in Working-Class Young Adults

2021 ◽  
Vol 18 (8) ◽  
pp. 3863
Author(s):  
Matheus Lopes Cortes ◽  
José Andrade Louzado ◽  
Marcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  
Keyword(s):  
Food Consumption ◽  
Perceived Stress ◽  
High Stress ◽  
Ordinal Regression ◽  
Processed Meat ◽  
Processed Foods ◽  
Processed Food ◽  
Cross Sectional ◽  
Sugary Drinks ◽  
Stress Levels

Background: Ultra-processed foods are industrial formulations made from food extracts or constituents with little or no intact food and often containing additives that confer hyper-palatability. The consumption of these products increases the risk of chronic non-communicable diseases. Stressed people may engage in unhealthy eating as a way to cope. This study aimed to verify whether ultra-processed food consumption was associated with perceived stress levels in industrial and retail workers from Vitoria da Conquista, Brazil. Methods: This was a cross-sectional study carried out between July 2017 and August 2018. During the study period, 1270 participants completed a survey administered by an interviewer. Stress levels were assessed using the Perceived Stress Scale. Information regarding weekly ultra-processed food consumption was collected. Ultra-processed foods were classified into four groups: sugary drinks; sugary foods; fast foods; and canned foods, frozen foods, or processed meat. The Student’s t-test or one-way analysis of variance was used to assess the differences in stress levels and ultra-processed food consumption. Ordinal regression was used to determine the association between the degrees of stress and ultra-processed food consumption levels. Results: Factors such as a young age, being unmarried, smoking, high-risk alcohol consumption, negative health perception, and high perceived stress level indicated higher rates of ultra-processed food consumption. Ordinal regression analysis showed that high stress levels were associated with increased odds of higher ultra-processed food consumption (odds ratio: 1.94; 95% CI: 1.54–2.45). Conclusions: These findings could help identify appropriate target areas for interventions aimed at mental health promotion and healthier food consumption.

scholarly journals Ultra-processed food consumption and obesity in the Australian adult population

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Priscila Pereira Machado ◽  
Eurídice Martinez Steele ◽  
Renata Bertazzi Levy ◽  
Maria Laura da Costa Louzada ◽  
Anna Rangan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Food Consumption ◽  
Abdominal Obesity ◽  
Physical Activity Level ◽  
Adult Population ◽  
The Body ◽  
Activity Level ◽  
Processed Foods ◽  
Processed Food ◽  
Increased Risk

Abstract Background Rapid simultaneous increases in ultra-processed food sales and obesity prevalence have been observed worldwide, including in Australia. Consumption of ultra-processed foods by the Australian population was previously shown to be systematically associated with increased risk of intakes of nutrients outside levels recommended for the prevention of obesity. This study aims to explore the association between ultra-processed food consumption and obesity among the Australian adult population and stratifying by age group, sex and physical activity level. Methods A cross-sectional analysis of anthropometric and dietary data from 7411 Australians aged ≥20 years from the National Nutrition and Physical Activity Survey 2011–2012 was performed. Food consumption was evaluated through 24-h recall. The NOVA system was used to identify ultra-processed foods, i.e. industrial formulations manufactured from substances derived from foods and typically added of flavours, colours and other cosmetic additives, such as soft drinks, confectionery, sweet or savoury packaged snacks, microwaveable frozen meals and fast food dishes. Measured weight, height and waist circumference (WC) data were used to calculate the body mass index (BMI) and diagnosis of obesity and abdominal obesity. Regression models were used to evaluate the association of dietary share of ultra-processed foods (quintiles) and obesity indicators, adjusting for socio-demographic variables, physical activity and smoking. Results Significant (P-trend ≤ 0.001) direct dose–response associations between the dietary share of ultra-processed foods and indicators of obesity were found after adjustment. In the multivariable regression analysis, those in the highest quintile of ultra-processed food consumption had significantly higher BMI (0.97 kg/m2; 95% CI 0.42, 1.51) and WC (1.92 cm; 95% CI 0.57, 3.27) and higher odds of having obesity (OR = 1.61; 95% CI 1.27, 2.04) and abdominal obesity (OR = 1.38; 95% CI 1.10, 1.72) compared with those in the lowest quintile of consumption. Subgroup analyses showed that the trend towards positive associations for all obesity indicators remained in all age groups, sex and physical activity level. Conclusion The findings add to the growing evidence that ultra-processed food consumption is associated with obesity and support the potential role of ultra-processed foods in contributing to obesity in Australia.

scholarly journals Ultra-processed foods and the nutritional dietary profile in Brazil

2015 ◽  
Vol 49 (0) ◽  
Author(s):  
Maria Laura da Costa Louzada ◽  
Ana Paula Bortoletto Martins ◽  
Daniela Silva Canella ◽  
Larissa Galastri Baraldi ◽  
Renata Bertazzi Levy ◽  
...  
Keyword(s):  
Food Consumption ◽  
Cross Sectional Study ◽  
Free Sugar ◽  
Processed Foods ◽  
Processed Food ◽  
Minimally Processed ◽  
Cross Sectional ◽  
Nutritional Profile ◽  
Fiber Protein ◽  
The Impact

OBJECTIVE To assess the impact of consuming ultra-processed foods on the nutritional dietary profile in Brazil.METHODS Cross-sectional study conducted with data from the module on individual food consumption from the 2008-2009 Pesquisa de Orçamentos Familiares (POF – Brazilian Family Budgets Survey). The sample, which represented the section of the Brazilian population aged 10 years or over, involved 32,898 individuals. Food consumption was evaluated by two 24-hour food records. The consumed food items were classified into three groups: natural or minimally processed, including culinary preparations with these foods used as a base; processed; and ultra-processed.RESULTS The average daily energy consumption per capita was 1,866 kcal, with 69.5% being provided by natural or minimally processed foods, 9.0% by processed foods and 21.5% by ultra-processed food. The nutritional profile of the fraction of ultra-processed food consumption showed higher energy density, higher overall fat content, higher saturated and trans fat, higher levels of free sugar and less fiber, protein, sodium and potassium, when compared to the fraction of consumption related to natural or minimally processed foods. Ultra-processed foods presented generally unfavorable characteristics when compared to processed foods. Greater inclusion of ultra-processed foods in the diet resulted in a general deterioration in the dietary nutritional profile. The indicators of the nutritional dietary profile of Brazilians who consumed less ultra-processed foods, with the exception of sodium, are the stratum of the population closer to international recommendations for a healthy diet.CONCLUSIONS The results from this study highlight the damage to health that is arising based on the observed trend in Brazil of replacing traditional meals, based on natural or minimally processed foods, with ultra-processed foods. These results also support the recommendation of avoiding the consumption of these kinds of foods.

scholarly journals Ultra-processed food consumption and obesity in adolescents

2019 ◽  
Vol 32 ◽  
Author(s):  
Carla Cristina ENES ◽  
Carolina Moura de CAMARGO ◽  
Maraisa Isabela Coelho JUSTINO
Keyword(s):  
Food Consumption ◽  
Linear Trend ◽  
Daily Intake ◽  
Average Energy ◽  
The Body ◽  
Processed Foods ◽  
Processed Food ◽  
Z Score ◽  
Cross Sectional ◽  
Convenience Sample

ABSTRACT Objective To evaluate the relationship between ultra-processed food consumption and obesity indicators in adolescents. Methods Cross-sectional study with a convenience sample of 200 10- to 18-year-old adolescents from Campinas, São Paulo (SP). Usual dietary intake was determined through a semiquantitative food frequency questionnaire. Daily intake of each food was obtained from the intake frequency. Subsequently, foods were classified as raw and minimally processed, cooking ingredients or ultra-processed foods, and their caloric contribution to the total energy value was calculated. Sociodemographic and anthropometric variables were also investigated. Overweight was defined as Z-score>+1 and obesity was defined as Z-score>+2 according to the Body Mass Index per age group. The associations were tested by chi-square test and linear trend. Results The frequency of obesity was 47.0%, and 21.5% presented increased waist circumference. The average energy intake was 4,176kcal/day, of which 50.6% was derived from ultra-processed foods. The categories with the highest caloric contributions among ultra-processed foods were industrial loaves/cakes (16.2%), sweets and candy (6.2%), pastas (6.0%) and sweetened drinks (5.1%). No association was found between ultra-processed food consumption and anthropometric indicators. Conclusion The significant contribution of ultra-processed foods to daily calories is evidence of a poor diet of this population of young people, although this has not been shown as a factor associated with excess weight. Therefore, there is an urgent need for public policies that discourage the consumption of these products and encourage the return to a traditional diet.

scholarly journals Socioeconomic Characteristics and Trends in the Consumption of Ultra-Processed Foods in Korea from 2010 to 2018

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1120
Author(s):  
Jee-Seon Shim ◽  
Sun-Young Shim ◽  
Hee-Jeung Cha ◽  
Jinhee Kim ◽  
Hyeon Chang Kim
Keyword(s):  
Food Consumption ◽  
Economic Status ◽  
Age Groups ◽  
Income Level ◽  
Korean Population ◽  
Processed Foods ◽  
Processed Food ◽  
Cross Sectional ◽  
Socioeconomic Characteristics ◽  
Over Time

There is growing evidence for a global transition to a more highly processed diet. While the dietary share of ultra-processed foods depends on a country’s economic status, food choice and consumption are also influenced by the socioeconomic situation of individuals. This study investigated whether ultra-processed food consumption differed across socioeconomic subgroups and over time (2010–2018) in Korea. Cross-sectional data from the Korea National Health and Nutrition Examination Survey 2010–2018 were analyzed. Food and beverages reported in a one-day 24 h recall were classified according to the NOVA food classification criteria. The dietary energy contribution of ultra-processed foods was high among men and urban residents, and increased with education and income level; additionally, it reached its peak in adolescents and thereafter decreased with increasing age. After adjusting the socioeconomic variables, such associations remained significant, except for income level. The overall contribution of ultra-processed foods increased from 23.1% (2010–2012) to 26.1% (2016–2018), and the same trend over time was observed in all age groups and socioeconomic strata. In the Korean population, ultra-processed food consumption differed by individual socioeconomic characteristics, but gradually increased over time, and this trend was consistently found in all socioeconomic subgroups. Future strategies to promote healthy food choices are needed for the Korean population.

scholarly journals  Ultra-processed food consumption and risk of obesity: a prospective cohort study of UK Biobank

2020 ◽  
Author(s):  
Fernanda Rauber ◽  
Kiara Chang ◽  
Eszter P. Vamos ◽  
Maria Laura da Costa Louzada ◽  
Carlos Augusto Monteiro ◽  
...  
Keyword(s):  
Food Consumption ◽  
Abdominal Obesity ◽  
Repeated Measures ◽  
Population Policy ◽  
Processed Foods ◽  
Processed Food ◽  
Uk Biobank ◽  
The Uk ◽  
Incident Cases

Abstract Objective The objective of this study was to examine the associations between ultra-processed food consumption and risk of obesity among UK adults. Methods Participants aged 40–69 years at recruitment in the UK Biobank (2006–2019) with dietary intakes collected using 24-h recall and repeated measures of adiposity––body mass index (BMI), waist circumference (WC) and percentage of body fat (% BF)––were included (N = 22,659; median follow-up: 5 years). Ultra-processed foods were identified using the NOVA classification and their consumption was expressed as a percentage of total energy intake. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HR) of several indicators of obesity according to ultra-processed food consumption. Models were adjusted for sociodemographic and lifestyle characteristics. Results 947 incident cases of overall obesity (BMI ≥ 30 kg/m2) and 1900 incident cases of abdominal obesity (men: WC ≥ 102 cm, women: WC ≥ 88 cm) were identified during follow-up. Participants in the highest quartile of ultra-processed food consumption had significantly higher risk of developing overall obesity (HR 1.79; 95% CI 1.06─3.03) and abdominal obesity (HR 1.30; 95% CI 1.14─1.48). They had higher risk of experiencing a ≥ 5% increase in BMI (HR 1.31; 95% CI 1.20─1.43), WC (HR 1.35; 95% CI 1.25─1.45) and %BF (HR 1.14; 95% CI 1.03─1.25), than those in the lowest quartile of consumption. Conclusions Our findings provide evidence that higher consumption of ultra-processed food is strongly associated with a higher risk of multiple indicators of obesity in the UK adult population. Policy makers should consider actions that promote consumption of fresh or minimally processed foods and reduce consumption of ultra-processed foods.

scholarly journals Ultra-processed foods and excessive free sugar intake in the UK: a nationally representative cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e027546 ◽  
Author(s):  
Fernanda Rauber ◽  
Maria Laura da Costa Louzada ◽  
Euridice Martinez Steele ◽  
Leandro F M de Rezende ◽  
Christopher Millett ◽  
...  
Keyword(s):  
Total Energy ◽  
Food Consumption ◽  
Age Groups ◽  
Free Sugar ◽  
Processed Foods ◽  
Processed Food ◽  
Cross Sectional ◽  
Free Sugars ◽  
Sugar Intake ◽  
The Uk

ObjectivesTo describe dietary sources of free sugars in different age groups of the UK population considering food groups classified according to the NOVA system and to estimate the proportion of excessive free sugars that could potentially be avoided by reducing consumption of their main sources.Design and settingCross-sectional data from the UK National Diet and Nutrition Survey (2008–2014) were analysed. Food items collected using a 4-day food diary were classified according to the NOVA system.Participants9364 individuals aged 1.5 years and above.Main outcome measuresAverage dietary content of free sugars and proportion of individuals consuming more than 10% of total energy from free sugars.Data analysisPoisson regression was used to estimate the associations between each of the NOVA food group and intake of free sugars. We estimated the per cent reduction in prevalence of excessive free sugar intake from eliminating ultra-processed foods and table sugar. Analyses were stratified by age group and adjusted for age, sex, ethnicity, survey year, region and equivalised household income (sterling pounds).ResultsUltra-processed foods account for 56.8% of total energy intake and 64.7% of total free sugars in the UK diet. Free sugars represent 12.4% of total energy intake, and 61.3% of the sample exceeded the recommended limit of 10% energy from free sugars. This percentage was higher among children (74.9%) and adolescents (82.9%). Prevalence of excessive free sugar intake increased linearly across quintiles of ultra-processed food consumption for all age groups, except among the elderly. Eliminating ultra-processed foods could potentially reduce the prevalence of excessive free sugar intake by 47%.ConclusionOur findings suggest that actions to reduce the ultra-processed food consumption generally rich in free sugars could lead to substantial public health benefits.

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