Latin America and the Caribbean Code Against Cancer 1st edition: Tobacco and nicotine-related products, secondhand smoke, and alcohol and cancer.

Tobacco, secondhand smoke (SHS), and alcohol, all carcinogens, are leading preventable cancer risk factors in Latin America and the Caribbean (LAC). Since 2000, smoking and SHS exposure have significantly decreased in the region. Yet alcohol consumption remains high. The entry of nicotine-related products such as electronic cigarettes (e-cigs) threatens achievements made in tobacco control and chronic diseases prevention, including cancer. E-cigs use is likely associated with smoking initiation among adolescents who had never smoked and dual use with combustible tobacco products. Therefore, the LAC Code Against Cancer recommends to the public actions they can take to reduce their risk of cancer: 1. Don't smoke or use any type of tobacco. If you do, quitting is possible, with professional help if needed. Don't use e-cigarettes either, as they lead to tobacco use. 2. Make your home a smoke-free place. Respect and promote laws that ensure smoke-free spaces to protect our health. and 3. Avoid drinking alcoholic beverages. This helps prevent several types of cancer. The Code recommends to policymakers a package of cost-effective policies based on the MPOWER and SAFER to prevent cancer at the population level. It also recommends that primary care health professionals: 1. Ask all their patients and their families whether they smoke or vape, inform them about the harms of smoking and vaping, and promote tobacco and nicotine related products cessation strategies among users. 2. Inform about the harms of exposure to SHS, especially among children, and promote smoke-free environments, and 3. Prevent alcohol use by their patients and their families, use tools to assess use, intensity, and frequency, and apply brief counseling intervention to support alcohol abstinence in primary care.

Latin American and the Caribbean Code Against Cancer 1st edition: Weight, physical activity, diet, breastfeeding, and cancer.

In Latin America and the Caribbean a considerable proportion of the population have excess body weight, do not meet the recommendations of physical activity and healthy diet, and have suboptimal rates of breastfeeding. Excess body weight is associated with at least 15 cancer sites, physical activity protects against three cancers, with some evidence suggesting a protective effect for eight more cancer sites, and sedentary behavior probably increases the risk of five cancer sites. Fiber and wholegrains protect against colorectal cancer, high intake of fruits and vegetables could reduce the risk of aerodigestive cancers; processed and red meat increase the risk of colorectal cancer; and very hot beverages are associated with esophageal cancer. Moreover, sugar-sweetened beverages and ultra-processed foods are a convincing cause for excess body weight, increasing cancer risk through this pathway, with some emerging evidence suggesting also direct pathways. Breastfeeding protects against breast cancer, and could protect against ovarian cancer. Taking this evidence into account, the Latin America and the Caribbean Code Against Cancer recommends the general public to maintain a healthy body weight, be physically active and limit sedentary behavior, eat a healthy diet (eat plenty of vegetables, fruits, wholegrains and legumes; avoid sugar-sweetened beverages and processed meat; and limit ultra-processed foods, red meat and very hot beverages), and breastfeed. Moreover, the Latin America and the Caribbean Code Against Cancer also includes a set of public policy recommendations for cancer prevention to inform policy makers and civil society about the need of policies to shape healthy environments and create opportunities to facilitate the adoption of the recommendations directed to the public.

Dietary intake of the Mexican population: comparing food group contribution to recommendations, 2012-2016 / Ingesta dietética de la población mexicana: contribución de grupos de alimentos vs. recomendaciones, 2012-2016

Abstract: Objective: To estimate energy contribution (EC) of food groups in 2016, to compare consumption against Mexican Dietary Guidelines, and to examine changes in EC from 2012 to 2016. Materials and methods: We analyzed 24-hour dietary recalls from the 2012 and 2016 National Health and Nutrition Surveys (Ensanut). Foods and beverages were classified into eight food groups: cereals, legumes, dairy, meats, fruit and vegetables, fats and oils, sugar-sweetened beverages, and high in saturated fat and added sugar (HSFAS) products. Results: Cereals had the highest EC (30.1%), followed by meats (15.9%), HSFAS products (15.5%), and SSBs (10.5%). Fruits and vegetables, and legumes had the lowest contribution with 6.4 and 3.8%, respectively. SSBs, meats, and HSFAS products were 250, 59 and 55% above the recommended intake, respectively. Conclusions: This analysis confirms the need to generate a food environment conducive to a healthier diet.

Resumen: Objetivo: Estimar la contribución energética (CE) de grupos de alimentos al compararla con las Guías Alimentarias y examinar los cambios de 2012 a 2016. Material y métodos: Se analizaron recordatorios de 24 horas de las Encuestas Nacionales de Salud y Nutrición de 2012 y 2016. Los alimentos y bebidas se clasificaron en ocho grupos: cereales, leguminosas, lácteos, carnes, frutas y verduras, grasas, bebidas azucaradas, y productos altos en grasa saturada y/o azúcares añadidos. Resultados: Los cereales tuvieron la CE más alta (30.1%), seguidos por carnes (15.9%), productos altos en grasa saturada y azúcares añadidos (15.5%) y bebidas azucaradas (10.5%). Frutas y verduras y leguminosas tuvieron la menor CE con 6.4 y 3.8%, respectivamente. Las bebidas azucaradas, carnes y productos altos en grasa saturada y azúcares añadidos superaron en 250, 59 y 55% la recomendación, respectivamente. Conclusión: Este análisis confirma la necesidad de generar un ambiente alimentario que propicie una dieta más saludable.

Self-perception of dietary quality and adherence to food groups dietary recommendations among Mexican adults.

BACKGROUND: Mexicans' adherence to food group's dietary recommendations is low and an inaccurate self-perception of dietary quality might perpetuate this low adherence. Our aim was to compare the intake and the adherence to the dietary recommendations for several food groups, subgroups, and to an overall Mexican Diet Quality Index (MxDQI), among those that perceived their diet as healthy vs. those that did not. METHODS: We analyzed data from 989 subjects 20-59 y old from the nationally representative Mexican National Health and Nutrition Survey 2016. Dietary intake was collected with one 24-h recall and a repeated recall in 82 subjects. Self-perception of dietary quality was evaluated with the following question "Do you consider that your diet is healthy? (yes/no)". We used the National Cancer Institute method to estimate the usual intake. We compared the mean intake adjusted by sociodemographic variables and the percentage of adherence according to the self-perception of dietary quality among the whole sample and in sociodemographic subpopulations. RESULTS: Sixty percent perceived their diet as healthy, and their adherence to recommendations was low [20% for fruits and vegetables, < 8% for legumes, seafood and SSBs, and ~ 50% for processed meats and high in saturated fat and/or added sugar (HSFAS) products]. The mean number of recommendations they met was 2.8 (out of 7) vs. 2.6 among the rest of the population (p > 0.05), and the MxDQI score was 40 vs. 37 (out of 100 points). The only food groups and subgroups with a statistically significant difference between those that perceived their diet as healthy vs. unhealthy were fruits [38 g/d (95% CI 3, 73)], fruit juices [27 g/d (95% CI 2, 52)], industrialized SSBs [- 35 kcal/d (- 70, - 1)] and salty snacks [- 40 kcal/d (- 79, - 1)]. Other differences were small or inconsistent across subgroups of the population. CONCLUSIONS: Those that perceived their diet as healthy only had a slightly healthier diet than the rest of the population, moreover, their adherence to recommendations was very low. Hence, it is necessary to improve their nutrition knowledge.

Contribución de los alimentos a la ingesta total de energía en la dieta de los mexicanos mayores de cinco años / Food contribution to total daily energy intake in the Mexican population older than five years

Resumen: Objetivo: Identificar la contribución a la ingesta de energía (CIE) de alimentos consumidos en mayores de cinco años y por características sociodemográficas, en la población mexicana. Material y métodos: Se analizó información del recordatorio de 24 horas de 7 983 sujetos ≥5 años incluidos en la Encuesta Nacional de Salud y Nutrición 2012 (Ensanut 2012). Se estimó la CIE de 50 alimentos clasificados en ocho grupos de alimentos en el ámbito nacional, estratificando por edad, área de residencia, región y nivel socioeconómico. Resultados: Siete alimentos contribuyeron con 50% de la ingesta energética total: tortilla y productos de maíz (20.6%), pan dulce (6.6%), aceites vegetales (4.9%), pan blanco y derivados de trigo (4.9%), bebidas azucaradas carbonatadas (4.6%), carnes rojas (4.0%) y leche entera (4.0%). Otros alimentos, cuyo consumo es recomendable aumentar por sus efectos positivos en salud, mostraron contribuciones menores a 1.0%, con excepción del frijol (3.3%). Se observó gran heterogeneidad en el consumo entre subgrupos de población. Conclusión: La identificación de los alimentos individuales y su CIE, tanto en grupos de alimentos cuyo consumo se recomienda aumentar, como en aquéllos que se recomienda reducir, puede ser de utilidad para el diseño de acciones regulatorias y estrategias educativas dirigidas a disminuir la carga de enfermedad relacionada con la dieta.

Abstract: Objetive: To identifiy the energy contribution (EC) of the food consumed in those older than five years and by sociodemographic characteristics in Mexican population. Materials and methods: We analyzed data from 24-hour recalls from 7 983 subjects ≥5 years included in the Encuesta Nacional de Salud y Nutrición2012 (Ensanut 2012). The EC to total daily energy intake of 50 foods allocated to eight food groups at national level and stratified by age, area of residence, region and socioeconomic level was estimated. Results: Seven foods contributed 50% of total energy intake: tortilla and corn products (20.6%), sweet bread (6.6%), vegetable oils (4.9%), white bread and wheat products (4.9%), carbonated sugary drinks (4.6%), red meat (4.0%) and whole milk (4.0%). Other foods, which its consumption is recommended to increase due to its positive effects on health, showed minor contributions (less than 1.0%), with the exception of beans (3.3%). Great heterogeneity in intakes was observed between subgroups of the population. Conclusions: The identification of individual foods and their EC for both, food groups whose consumption should be increased as well as those that should be reduced can be useful for the design of regulatory actions and educational strategies aimed at reducing the diet related burden of disease.

Energy, added sugar, and saturated fat contributions of taxed beverages and foods in Mexico / Contribución de energía, azúcar añadido y grasa saturada de las bebidas y alimentos con impuesto en México

Abstract: Objective: To estimate the dietary contribution of taxed beverages and foods. Materials and methods: Using 24-hour diet recall data from the Ensanut 2012 (n=10 096), we estimated the contribution of the items which were taxed in 2014 to the total energy, added sugar, and saturated fat intakes in the entire sample and by sociodemographic characteristics. Results: The contributions for energy, added sugar, and saturated fat were found to be 5.5, 38.1, and 0.4%, respectively, for the taxed beverages, and 14.4, 23.8, and 21.4%, respectively, for the taxed foods. Children and adolescents (vs. adults), medium and high socioeconomic status (vs. low), urban area (vs. rural), and North and Center region (vs. South) had higher energy contribution of taxed beverages and foods. The energy contribution was similar between males and females. Conclusions: These taxes covered an important proportion of Mexicans' diet and therefore have the potential to improve it meaningfully.

Resumen: Objetivo: Estimar la contribución dietética de las bebidas y alimentos con impuesto. Material y métodos: Con el recordatorio de 24-horas de la Ensanut 2012 (n=10 096), estimamos la contribución de los productos con impuesto en 2014 al consumo total de energía, azúcar añadido y grasa saturada en toda la muestra y por sociodemográficos. Resultados: La contribución de energía, azúcar añadido y grasa saturada fue 5.5, 38.1 y 0.4%, respectivamente, para bebidas con impuesto y 14.4, 23.8 y 21.4%, respectivamente, para alimentos con impuesto. Los niños y adolescentes (vs. adultos), nivel socioeconómico medio y alto (vs. bajo), área urbana (vs. rural), y región Norte y Centro (vs. Sur) tuvieron una contribución de energía mayor de bebidas y alimentos con impuesto. La contribución fue similar entre hombres y mujeres. Conclusión: Estos impuestos cubren una proporción importante de la dieta mexicana y por lo tanto tienen el potencial de mejorarla de manera relevante.

Adherence to Dietary Recommendations for Food Group Intakes Is Low in the Mexican Population.

BACKGROUND: Given the high prevalence of obesity and noncommunicable diseases in Mexico and the key role of dietary quality in these conditions, it is important to determine Mexicans' adherence to dietary recommendations. OBJECTIVE: Our aim was to estimate the percentage of the Mexican population who adhere to dietary recommendations for key food groups. METHODS: We analyzed 7983 participants aged ≥5 y from the nationally representative Mexican National Health and Nutrition Survey 2012. Dietary intake data were collected by using one 24-h recall and a repeated 24-h recall in 9% of the sample. We used the National Cancer Institute method for episodically consumed foods, which uses a 2-part (probability and amount) mixed regression model to estimate the usual intake distribution and its association with sociodemographic variables. RESULTS: For the food groups that are encouraged, only 1-4% of the population (range across sex and age groups) reached the recommended intake of legumes, 4-8% for seafood, 7-16% for fruit and vegetables, and 9-23% for dairy. For food groups that are discouraged, only 10-22% did not exceed the recommended upper limit for sugar-sweetened beverages, 14-42% for high saturated fat and/or added sugar (HSFAS) products, and 9-50% for processed meats, whereas the majority (77-93%) did not exceed the limit for red meat. A lower proportion of adolescents than children and adults adhered to recommendations for several food groups. Participants with higher socioeconomic status (SES) and living in urban areas consumed more (probability of consuming and/or amount consumed) fruit and vegetables, dairy, and HSFAS products, but they consumed fewer legumes than those of lower SES and living in rural areas. CONCLUSIONS: These results reveal the poor dietary quality of the Mexican population and the urgent need to shift these habits. If current intakes continue, the burden of disease due to obesity and noncommunicable chronic diseases will likely remain elevated in the Mexican population.

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

BACKGROUND: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. METHODS: Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian meta-regression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. FINDINGS: All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. INTERPRETATION: Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. FUNDING: Bill & Melinda Gates Foundation.