| Literature DB >> 33842521 |
Rodrigo A Matos1, Michelle Adams2, Joan Sabaté2.
Abstract
The objective of this article is to assess current trends in Latin America with respect to the consumption of ultra-processed foods and non-communicable diseases. This review addresses the rapid growth of the ultra-processed foods market in Latin America which, along with other social and environmental factors, has been shown to be highly influential in the prevalence of non-communicable diseases such as obesity, type 2 diabetes, hypertension and cardiovascular disease, cancer, and all-cause mortality. Ultra-processed foods represent a health concern for a number of reasons. They are generally calorically dense and high in sodium, sugar, and saturated and trans fats, and low in fiber and protein. Additionally, they may contain additives and neoformed compounds that affect health in ways that have not been adequately researched. Furthermore, the packaging of ultra-processed foods may contain hormone disruptors whose effects on humans are not entirely clear. Associations between ultra-processed foods and cardio-metabolic dysfunction, as well as several plausible mechanisms, will be evaluated.Entities:
Keywords: Latin America; cardiovascular disease; chronic disease; diabetes; metabolic disease; ultra-processed foods
Year: 2021 PMID: 33842521 PMCID: PMC8024529 DOI: 10.3389/fnut.2021.622714
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
NOVA food classification system according to its level of processing.
| Unmodified or minimally processed foods | Fresh/frozen fruits and vegetables, fresh meat, fresh milk, grains, eggs, fresh fish, nuts, granola, rice, beans, tubers, whole grain flour, herbs and spices, etc. |
| Processed foods as processed culinary ingredients | Extracted vegetable oils, substances isolated or modified by various preservation methods, salt, sugar, oil, fat, flour, white rice, pasta, butter extracted from fresh milk, extracted honey, starches extracted from corn and other plants, etc. |
| Processed foods | Vegetables and legumes modified or preserved with additives, salty or sugary nuts and seeds, canned meats and fish, canned fruits, fresh whole grain breads, fresh cheese, etc. |
| Ultra-processed foods | Industrial formulas with multiple ingredients, including: soft drinks, energy drinks, fruit nectar drinks, alcoholic beverages, distilled beverages, beer, refined cereal, breads, ready-to-eat meals, instant cereals, cookies, candy, sugary drinks, margarine, mayonnaise, chips, instant soups, confectionery, jams, chocolate, ice cream, cake, energy bars, dairy drinks, yogurts, processed cheese, pizza, pasta dishes, instant sauces, processed meat products, meat analogs, infant formulas, weight loss products such as meal replacement shakes and powders, etc. |
Source: Adapted from Monteiro et al. (.
Figure 1Annual number of purchases per capita in fast-food outlets in 13 Latin American countries, 2000–2013. Purchases refers to single, completed purchases (which may include more than one meal). Fast-food outlets are defined as establishments offering limited menus prepared quickly where customers order, pay, and pick up from a counter. Data are from the Euromonitor Passport Database (2014). Source (2).
Figure 2Annual sales per capita of ultra-processed food and drink products and mean body mass index (BMI) scores in 12 Latin American coutries, 2000-2009. Ultra-processed products here include carbonated soft drinks, sweet and savory snacks, breakfast cereals, confectionary (candy), ice cream, biscuits (cookies), fruit and vegetable juices, sports and energy drinks, ready-to-drink tea or coffee, spreads, sauces, and ready-meals. Source (2).
Figure 3Annual retail sales per capita of ultra-processed food and drink products and prevalence of obesity (%) in adults in 14 countries (Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, Guatemala, Mexico, Peru, Uruguay, Venezuela, Canada, and the United States) in the Americas, 2013. Ultra-processed products here include carbonated soft drinks, sweet and savory snacks, breakfast cereals, confectionary (candy), ice cream, biscuits (cookies), fruit and vegetable juices, sports and energy drinks, ready-to-drink tea or coffee, spreads, sauces, and ready-meals. Source (2).
Figure 4Prevalence of diabetes per country, 2010 and 2019. Data are from World Bank Database. International Diabetes Federation, Diabetes Atlas (2021). Source (34).
Studies assessing the association between UPF intake and excess adiposity.
| Beslay et al. ( | 2020 | Prospective | NutriNet-Santé cohort: 110,260 French adults (age 43.1 ± 14.6 years, 78.2% ♀) | 10 | UPF intake is associated with risk of overweight (HR10%: : 1.11, 95% CI: 1.08–1.14) and obesity (HR10%: 1.09, 95% CI:1.05–1.13) |
| Sandoval-Insausti et al. ( | 2020 | Prospective | Seniors Study on Nutrition and Cardiovascular Risk in Spain Seniors (ENRICA-1) cohort: 652 Spanish elderly adults (age 67.1 ± 5.8 years, 44% ♀) | 6 | UPF intake is associated with greater odds of developing abdominal obesity (OR: 1.62, 95% CI: 1.04–2.54) |
| Canhada et al. ( | 2020 | Prospective | Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort: 11,827 Brazilian adults (age 51.3 ± 8.7 years, 55.0% ♀) | 3.8 | UPF intake is associated with being at an unhealthy weight (RR: 1.27, 95% CI: 1.07–1.50) as well as weight gain (RR:1.33, 95% CI: 1.12–1.58) |
| Nardocci et al. ( | 2020 | Cross-sectional | Canadian Community Health Survey, cycle 2.2 respondents: 19,363 Canadian adults (age 45.99 ± 18.1 years, 49.1% ♀) | n/a | UPF intake is associated with greater odds of being obese (predicted OR: 1.32; 95% CI: 1.05–1.57) |
| Hall et al. ( | 2019 | RCT | 20 adults (age 31.2 ± 1.6 years, 50% ♀) randomly assigned to consume an ultra-processed diet or an unprocessed diet for a period of two weeks | n/a | Following an ultra-processed diet led to greater intake of calories ( |
| Juul et al. ( | 2018 | Cross-sectional | National Health and Nutrition Examination Survey (NHANES) respondents: a nationally representative sample of 15,977 American adults (age 41.9 ± 0.2 years, 50.6% ♀) | n/a | UPF intake is associated with significantly higher BMI and WC and increased odds of overweight (OR: 1.48, 95% CI: 1.25–1.76), obesity (OR: 1.53, 95% CI: 1.29–1.81), and abdominal obesity (OR: 1.62, 95% CI: 1.39–1.89) |
| Mendonça et al. ( | 2016 | Prospective | Seguimiento Universidad de Navarra (SUN) Project cohort: 8,451 Spanish adults (age 37.6 ± 11.0 years, 64.9% ♀) | 8.9 | UPF intake is associated with increased risk of overweight/obesity (adjusted HR: 1.26; 95% CI: 1.10–1.45) |
| Louzada et al. ( | 2015 | Cross-sectional | Brazilian Dietary Survey respondents: a nationally representative sample of 30,243 Brazilians; age in years, range (%): 10–19 (24.2%), 20–39 (41.3%), 40–59 (26.0%), and ≥60 (8.5%); 50.2% ♀ | n/a | UPF intake is associated with greater odds of being obese (OR: 1.98, 95% CI: 1.26–3.12) |
RCT, randomized controlled trial; HR.