Agreement between a web collaborative dataset and an administrative dataset to assess the retail food environment in Mexico.

BACKGROUND: Latin American countries are often limited in the availability of food outlet data. There is a need to use online search engines that allow the identification of food outlets and assess their agreement with field observations. We aimed to assess the agreement in the density of food outlets provided by a web collaborative data (Google) against the density obtained from an administrative registry. We also determined whether the agreement differed by type of food outlet and by area-level socioeconomic deprivation. METHODS: In this cross-sectional study, we analyzed 1,693 census tracts from the municipalities of Hermosillo, Leon, Oaxaca de Juarez, and Tlalpan. The Google service was used to develop a tool for the automatic acquisition of food outlet data. To assess agreement, we compared food outlet densities obtained with Google against those registered in the National Statistical Directory of Economic Units (DENUE). Continuous densities were assessed using Bland-Altman plots and concordance correlation coefficient (CCC), while agreement across tertiles of density was estimated using weighted kappa. RESULTS: The CCC indicated a strong correlation between Google and DENUE in the overall sample (0.75); by food outlet, most of the correlations were from negligible (0.08) to moderate (0.58). The CCC showed a weaker correlation as deprivation increased. Weighted kappa indicated substantial agreement between Google and DENUE across all census tracts (0.64). By type of food outlet, the weighted kappa showed substantial agreement for restaurants (0.69) and specialty food stores (0.68); the agreement was moderate for convenience stores/small food retail stores (0.49) and fair for candy/ice cream stores (0.30). Weighted kappa indicated substantial agreement in low-deprivation areas (0.63); in very high-deprivation areas, the agreement was moderate (0.42). CONCLUSIONS: Google could be useful in assessing fixed food outlet densities as a categorical indicator, especially for some establishments, like specialty food stores and restaurants. The data could also be informative of the availability of fixed food outlets, particularly in less deprived areas.

Who is getting COVID-19 boosters? A latent class analysis in a nationally representative sample of Mexican adults 60 years and over.

OBJECTIVE: Estimate COVID-19 vaccine booster uptake and identify sociodemographic profiles associated with vaccine booster uptake in Mexican adults aged 60 and older. METHODS: Using data from the 2022 National Health and Nutrition Survey, we estimated COVID-19 booster uptake in Mexican adults 60 and older. We conducted a latent class analysis using sociodemographic characteristics and then estimated group-specific booster prevalence. RESULTS: Adults aged 60 and older with a completed vaccination schedule had 80.3% booster coverage. Two groups showed the lowest coverage: 1) unemployed and informal working men with elementary education with low socioeconomic status (73.8% boosted), and 2) female homekeepers with elementary education or less living in rural areas (77.0% boosted). CONCLUSIONS: Our analysis points to the need to reach out to men and women with elementary education or less who live in rural areas to strengthen booster campaigns in the future.

Binge drinking associated with mean temperature: a cross-sectional study among Mexican adults living in cities.

BACKGROUND: The association between environmental temperature and alcohol consumption has not been widely explored despite the potential that increasing temperatures could promote the consumption of alcoholic beverages and the alcohol-related burden of disease. We aimed to explore the association between temperature and binge drinking in Mexican adults from urban cities, overall, and by alcoholic beverage type. METHODS: Data on 10,552 adults ≥ 18 years was obtained from the 2016 National Survey on Drug, Alcohol, and Tobacco Consumption. The mean annual temperature at the municipality was obtained from the Mexican National Weather Service using monthly temperatures from 2015 to 2016. We analyzed binge drinking for all alcoholic beverages in the last year and by type of alcohol as beer, liquor, wine, and coolers. Associations between mean temperature over the past year and binge drinking over the past year among current drinkers were estimated using multilevel Poisson models with robust standard errors adjusted for age, sex, education level, marital status, and household socioeconomic status, with a fixed effect by region. RESULTS: We observed a non-significant increase in the prevalence of binge drinking for every difference of 1 °C between municipalities of the same region. By alcohol type, a 1 °C increase in mean annual temperature across municipalities of the same region increased the prevalence of beer binge drinking in the past year by 0.9% (PR = 1.009, 95%CI 1.005, 1.013) among beer consumers and the prevalence of coolers' binge drinking by 3.0% (PR = 1.030, 95%CI 1.003, 1.057) in coolers consumers. We observed non-significant results for liquor binge drinking (PR = 1.047, 95%CI 0.994, 1.102) and wine binge drinking (PR = 1.047, 95% 0.944, 1.161). CONCLUSION: People living in municipalities with higher temperatures reported a higher beer binge drinking in Mexican cities. This could account for 196,000 cases of beer binge drinking in 2016. The context of each country needs to be considered when generalizing these findings, and they need to be further explored with longitudinal data as there might be implications for climate change. If our findings are confirmed given the forecasted rising temperatures, we could expect an increase in binge drinking and therefore, in the alcohol burden of disease.

Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study.

Speed limits are an evidence-based intervention to prevent traffic collisions and deaths, yet their impact on air pollution in cities is understudied. The objective of this study was to investigate the association between lower speed limits and air pollution. We leverage the introduction of a new road safety policy in Mexico City in December 2015 which lowered speed limits, increased fines, and installed speed radars to enforce compliance. We tested whether the policy had an impact on particulate matter (PM2.5) and nitrogen dioxide (NO2) at the city level, and whether air-quality monitoring stations' proximity to speed radars moderated this effect due to more acceleration and deceleration around radars. NO2 and PM2.5 concentrations from January 2014 to December 2018 were obtained from the National System of Air Quality Information. Air-quality monitoring stations were classified as in close-proximity or far-from-speed radars. Interrupted time series analyses were conducted for each outcome separately, using linear mixed models and adjusting for seasonality and time-varying confounders: registered vehicles, temperature, wind-speed and relative humidity. The results suggest improvement in both contaminants after the speed limits policy. For NO2, the pre-policy trend was flat, while the post-policy trend showed a decline in concentrations of 0.04 ppb/week. For PM2.5, concentrations were increasing pre-policy by 0.08 µg/m3 per week, then this trend flattened in the post-policy period to a weekly, non-significant, increase of 0.03 µg/m3 (p = 0.08). Air-quality monitors' proximity to speed radars did not moderate the effect of the policy on either of the pollutants. In conclusion, the speed limits policy implemented in Mexico City in 2015 was associated with improvements in air pollution.

Promoting healthy populations as a pandemic preparedness strategy: a simulation study from Mexico.

Background: The underlying health status of populations was a major determinant of the impact of the COVID-19 pandemic, particularly obesity prevalence. Mexico was one of the most severely affected countries during the COVID-19 pandemic and its obesity prevalence is among the highest in the world. It is unknown by how much the COVID-19 burden could have been reduced if systemic actions had been implemented to reduce excess weight in Mexico before the onset of the pandemic. Methods: Using a dynamic epidemic model based on nationwide data, we compare actual deaths with those under hypothetical scenarios assuming a lower body mass index in the Mexican population, as observed historically. We also model the number of deaths that would have been averted due to earlier implementation of front-of-pack warning labels or due to increases in taxes on sugar-sweetened beverages and non-essential high-energy foods in Mexico. Findings: We estimate that 52.5% (95% prediction interval (PI) 43.2, 61.6%) of COVID-19 deaths were attributable to obesity for adults aged 20-64 and 23.8% (95% PI 18.7, 29.1%) for those aged 65 and over. Had the population BMI distribution remained as it was in 2000, 2006, or 2012, COVID-19 deaths would have been reduced by an expected 20.6% (95% PI 16.9, 24.6%), 9.9% (95% PI 7.3, 12.9%), or 6.9% (95% PI 4.5, 9.5%), respectively. If the food-labelling intervention introduced in 2020 had been introduced in 2018, an expected 6.2% (95% PI 5.2, 7.3%) of COVID-19 deaths would have been averted. If taxes on sugar-sweetened beverages and high-energy foods had been doubled, trebled, or quadrupled in 2018, COVID-19 deaths would have been reduced by an expected 4.1% (95% PI 2.5, 5.7%), 7.9% (95% PI 4.9, 11.0%), or 11.6% (95% PI 7.3, 15.8%), respectively. Interpretation: Public health interventions targeting underlying population health, including non-communicable chronic diseases, is a promising line of action for pandemic preparedness that should be included in all pandemic plans. Funding: This study received funding from Bloomberg Philanthropies, awarded to Juan A. Rivera from the National Institute of Public Health; Community Jameel, the UK Medical Research Council (MRC), Kenneth C Griffin, and the World Health Organization.

Barriers, refusal and a hypothetical monetary incentive for Covid-19 vaccination in Mexican adults.

OBJECTIVE: To estimate vaccine uptake and assess sociodemographic conditions associated with vaccination barriers and refusal and to explore the effect of a monetary incentive to overcome them. MATERIALS AND METHODS: We used data from adults from the 2021 National Continuous Health and Nutrition Survey conducted during August-October 2021. We evaluated if an hypothetical monetary incentive between 50-650 MXN (~2.5-31 USD) would overcome barriers or refusal. RESULTS: 73.9% were vaccinated with at least one dose, 7.5% refused, 4.8% reported barriers and 13.8% were ineligible at the time of the survey. Refusal and barriers were more frequent in men, older age, lower education and socioeconomic status, unemployed and informal workers. In people with barriers and refusal, the hypothetical incentive increased the acceptance in 57.6% (95%CI 50.7,64.4%) and 17.4% (95%CI 13.2,21.7%) in people with barriers and refusal, respectively. CONCLUSION: Understanding the reasons for barriers and refusal is crucial for future Covid-19 vaccination campaigns or epidemics. A monetary incentive might increase vaccination uptake, although, cost-effectiveness analyses are needed.

Encuesta Nacional de Salud y Nutrición 2023: metodología y avances de la Ensanut Continua 2020-2024.

OBJETIVO: Presentar la metodología de la Encuesta Nacional de Salud y Nutrición 2023 (Ensanut 2023) y describir los procedimientos de inferencia para conjuntar la información colectada por la Ensanut Continua 2020-2024. Material y métodos. La Ensanut 2023 es la cuarta encuesta de la serie Ensanut Continua. Se describe el alcance de la Ensanut 2023 junto con sus procedimientos de muestreo, estimación, medición y organización logística. Además, se discute el procedimiento básico de estimación para analizar la integración de las encuestas Ensanut Continua 2020-2024. RESULTADOS: La Ensanut 2023 obtendrá a nivel nacional al menos 11 720 entrevistas completas de hogar y 13 378 cuestionarios completos de adulto. La unión de las Ensanut Continua 2020-2023 permitirá, en general, estimar a nivel estatal prevalencias p≥5% en adultos, con confiabilidad tolerable según las recomendaciones del Instituto Nacional de Estadística y Geografía. CONCLUSIONES: El análisis de la unión de la Ensanut Continua 2020-2023 permitirá iniciar la generación de estimaciones nacionales y estatales sobre el estado de salud y nutrición de la población mexicana.

Tamizaje, prevalencia, diagnóstico previo, tratamiento y control de hipertensión, hipercolesterolemia y diabetes en adultos mexicanos. Ensanut 2022.

OBJETIVO: Describir las estimaciones de tamizaje, prevalencia, diagnóstico previo, tratamiento y control de hipertensión, hipercolesterolemia y diabetes, así como sus factores asociados en los adultos mexicanos. Material y métodos. Se utilizó información de los adultos de 20 años o más participantes de la Encuesta Nacional de Salud y Nutrición 2022 (Ensanut 2022). Se presentan estimaciones de prevalencias con sus intervalos de confianza al 95%, y modelos de regresión logística múltiple para cada padecimiento, con factores asociados al tamizaje, diagnóstico previo, tratamiento y control. RESULTADOS: El tamizaje de estas tres enfermedades es bajo, menor a 15%. La prevalencia de hipercolesterolemia y de diabetes es de 18% y la de hipertensión es 27.8%; cerca de la mitad conoce su diagnóstico. La proporción de pacientes con tratamiento farmacológico ha incrementado, pero menos de la mitad está en control. Conclusión. Es recomendable que la detección de estas enfermedades se haga de manera integrada con otros factores de riesgo cardiovascular. Se necesita aumentar los porcentajes de tamizaje, incrementar la proporción de enfermos con diagnóstico previo, mejorar el porcentaje de tratamiento médico de estas enfermedades y, sobre todo, aumentar la proporción de enfermos con tratamiento en control metabólico.

Rezago en desarrollo infantil temprano en México: un análisis de la desigualdad.

OBJETIVO: Estimar la desigualdad en el rezago de desarrollo infantil temprano (DIT) en la niñez de 24 a 59 meses. Material y métodos. Se evaluó el DIT mediante el índice de desarrollo infantil temprano 2030. Se estimaron los factores asociados con el rezago de DIT y su índice de concentración (IC), además de su descomposición para estimar la desigualdad entre los factores. RESULTADOS: La desigualdad se concentró más en la niñez con menor nivel de bienestar (IC= -0.09, p<0.01), con peores niveles en estados con marginación muy alta (-0.28, valor-p <0.01) y muy baja (-0.15, valor- p= 0.03). Los factores que más contribuyen a esta desigualdad son falta de acceso a libros y de apoyo al aprendizaje, además de residencia en municipios de alta marginación. Conclusión. Las políticas públicas deben enfocarse en priorizar a la niñez en riesgo de no lograr su máximo DIT, facilitar el acceso a oportunidades de aprendizaje y a libros infantiles.

Prevalencia de anticuerpos y vacunación contra SARS-CoV-2 en 2022 en México.

OBJETIVO: Describir la prevalencia de anticuerpos contra SARS-CoV-2, vacunación, barreras y rechazo a la vacunación Covid-19 en población mexicana. Material y métodos. Se utilizó información de los integrantes del hogar de uno y más años, incluidos en la Encuesta Nacional de Salud y Nutrición Continua 2022 (Ensanut Continua 2022) realizada de agosto-noviembre. Se estimó la prevalencia de anticuerpos antiproteínas N y S de SARS-CoV-2 en muestras de sangre capilar, dosis reportadas de vacunación a Covid-19 y las razones de barreras y rechazo a la vacunación. RESULTADOS: La prevalencia de anticuerpos anti-N fue de 94.4% y de anti-S 98.1%. La prevalencia de anticuerpos anti-S fue mayor en personas vacunadas con una, dos o tres o más dosis que en no vacunadas. Dentro de la población elegible a vacunación, 20.2% no estaba vacunada, 16.2% tenía una dosis, 30% dos dosis y 33.6% tres dosis o más. El 11.2% de la población elegible rechazó la vacunación, 5.5% reportó una barrera y 3.2% reportó que la vacuna no había llegado a su localidad. Conclusión. La prevalencia de anticuerpos por infección natural y por vacunación Covid-19 es alta en México. Las variaciones de rechazo y barreras a la vacunación entre grupos de edad y regiones deben tomarse en cuenta para intensificar esfuerzos específicos para la vacunación.

Prevalencia de prediabetes y diabetes en México: Ensanut 2022.

OBJETIVO: Estimar la prevalencia de prediabetes y diabetes en la población adulta mexicana. Material y métodos. Se utilizó información de la submuestra de adultos de la Encuesta Nacional de Salud y Nutrición 2022 con una muestra de sangre de 10 ml. Se excluyeron 150 individuos con ayuno menor a 8 horas y cuatro personas con diabetes gestacional. La muestra final fue de 1 945 adultos que expande a 78.3 millones de adultos. RESULTADOS: La prevalencia de prediabetes fue de 22.1%, y de diabetes diagnosticada y no diagnosticada de 12.6 y 5.8%, respectivamente, lo que resulta en una prevalencia de diabetes total de 18.3%. Conclusión. La diabetes en México es muy prevalente e implica un reto importante para el sistema de salud. Se requieren acciones contundentes para prevenir la enfermedad, mejorar el tamizaje, el diagnóstico oportuno y el control de la enfermedad.

Patrones de consumo de alcohol en adolescentes y adultos mexicanos: Ensanut Continua 2022.

OBJETIVO: Caracterizar los patrones de consumo (actual y excesivo) de alcohol en adolescentes y adultos mexicanos. Material y métodos. Se analizó información de la Encuesta Nacional de Salud y Nutrición Continua 2022 (Ensanut Continua 2022) representativa a nivel nacional y regional. Se estimaron las prevalencias de consumo de alcohol actual y consumo excesivo de alcohol en los últimos 12 meses y 30 días. RESULTADOS: En adolescentes, las prevalencias de consumo actual de alcohol, excesivo en los últimos 12 meses y 30 días fueron de 20.6, 13.9 y 5.2%. En adultos, las prevalencias de consumo actual de alcohol, excesivo en los últimos 12 meses y 30 días fueron 55.5, 40.4 y 19.1%. Las prevalencias fueron mayores en hombres que en mujeres, con diferencias significativas en adultos. En adolescentes, las prevalencias fueron mayores a mayor edad, nivel socioeconómico y en aquellos sin estudios. En adultos, las prevalencias fueron mayores a menor edad, mayor nivel socioeconómico y escolaridad, y en áreas metropolitanas. Conclusión. Estos resultados muestran la necesidad de fortalecer las acciones de implementación, seguimiento y protección ofrecidas por la estrategia SAFER para prevenir y reducir el consumo nocivo de alcohol en adolescentes y adultos.

Sintomatología depresiva en adolescentes y adultos mexicanos: Ensanut 2022.

OBJETIVO: Estimar la prevalencia de sintomatología depresiva en adolescentes y adultos mexicanos. Material y métodos. La Encuesta Nacional de Salud y Nutrición 2022 evaluó la prevalencia de sintomatología depresiva mediante la Escala de Depresión del Centro de Estudios Epidemiológicos (CESD-7). En adolescentes se estimó el puntaje promedio y en adultos la prevalencia de sintomatología depresiva. RESULTADOS: En adolescentes el puntaje promedio de la CESD-7 fue 3.2. El 16.7% de los adultos tiene sintomatología depresiva, siendo mayor en adultos mayores (38.3%) que en adultos (11.3%). Se observaron mayores prevalencias en mujeres, adultos con índice de bienestar bajo y en adultos mayores residentes del área rural. Conclusión. A nivel nacional la prevalencia de sintomatología depresiva es similar a lo estimado en 2018-19. Se deben orientar acciones para mejorar la salud mental de la población, particularmente el diagnóstico y tratamiento de personas con mayor sintomatología depresiva como son mujeres, adultos con bajo índice de bienestar y residentes de área rural.

Desarrollo infantil temprano, sus determinantes y disciplina en la niñez mexicana: Ensanut 2022.

OBJETIVO: Conocer la prevalencia de desarrollo infantil temprano (DIT), sus determinantes y la exposición a métodos de disciplina en la niñez mexicana en 2022. Material y métodos. Se estimaron los indicadores de DIT, sus determinantes y la exposición a métodos de disciplina siguiendo la metodología de las Encuestas de Indicadores por Conglomerados (MICS). Para cada indicador se estimaron las prevalencias e intervalos de confianza al 95% y se desagregaron por características infantiles y sociodemográficas. RESULTADOS: El 19.3% de las niñas y niños de 24 a 59 meses no alcanzó su máximo potencial de DIT. Existe baja asistencia a programas de aprendizaje temprano (7.1%) y preescolar (62.4%). En el grupo de cinco años, 41.7% no tenía libros y 8.1% recibió cuidado inadecuado. El 55.5% de las niñas y niños de 1 a 14 años fue expuesto a disciplina violenta. Conclusión. Los resultados nos permiten conocer la situación de la niñez y orientar la política pública de esta población.

The Omicron wave in Mexico: vaccine protection against progression to severe Covid-19 in SARS-CoV-2-infected workers.

OBJECTIVE: To assess the effectiveness of seven Covid-19 vaccines in preventing disease progression (DP) using data from national private sector workers during the Omicron wave in Mexico from January 2 to March 5, 2022. MATERIALS AND METHODS: This study employed an administrative retrospective cohort design, analyzing DP (hospitalization or death due to respiratory disease) among workers who filed a respiratory short-term disability claim and tested positive for SARS-CoV-2. Risk ratios (RRadj) were estimated using Poisson regression models adjusted for various factors. RESULTS: Vaccinated individuals had a lower risk of hospitalization and death compared with unvaccinated individuals. The overall RRadj for hospitalization and death were 0.36 (95%CI 0.32, 0.41) and 0.24 (0.17, 0.33), respectively. When evaluating vaccines individually, the RRadj for hospitalization were as follows Pfizer BioNTech 0.27 (95%CI 0.22, 0.33), Moderna 0.29 (95%CI 0.15, 0.57), Sinovac 0.32 (95%CI 0.25, 0.41), AstraZeneca 0.39 (95%CI 0.34, 0.46), Sputnik 0.39 (95%CI 0.28, 0.53), CanSino 0.41 (95%CI 0.24, 0.7), and Janssen 0.53 (95%CI 0.39, 0.72). The RRadj for death were as follows: Pfizer BioNTech 0.12 (95%CI 0.07, 0.19), Sputnik 0.15 (95%CI 0.06, 0.38), Sinovac 0.29 (95%CI 0.16, 0.53), AstraZeneca 0.30 (95%CI 0.20, 0.44), CanSino 0.38 (95%CI 0.1, 1.4), and Janssen 0.50 (95%CI 0.26, 0.97). CONCLUSION: Covid-19 vaccines significantly reduced the risk of severe disease during the Omicron wave in Mexico.

Prophylactic cancer vaccines: development and challenges for HBV and HPV vaccines in Latin America.

Vaccines against hepatitis B virus (HBV) and human papillomaviruses (HPV) are two safe and highly effective vaccines that were developed at the end of the 20th century and can prevent human cancer. HBV vaccine prevents liver cancer, and HPV prevents cervical and other HPV-related cancers. Starting with the immunogen identification, 15 years were necessary to reach the industrial production of HBV vaccine, and 20 years, for the HPV vaccines. However, while HBV vaccines have been commercially available for over 40 years and are used in most countries, there are still significant challenges to achieve universal childhood immunization against hepatitis B. Similarly, HPV vaccines have been commercially available for 17 years, and yet, countries with higher cervical cancer still have the lowest HPV vaccination rates. We describe the development of HBV and HPV vaccines and discuss the challenges to reaching equitable access to these vaccines in Latin America.

The impact of the Covid-19 vaccination policy in Mexico. A quasi-experimental effectiveness evaluation of a multi-vaccine strategy.

OBJECTIVE: To assess the impact of a vaccination campaign that administered five different technologies in a middle-income country with one of the largest Covid-19 epidemics. MATERIALS AND METHODS: Using data from Mexico's Epidemiological Surveillance System for Viral Respiratory Disease (Sisver) and the design of the vaccine policy in Mexico as a natural experiment, we applied difference-in-differences econometric methods to assess the strategy's effectiveness on transmission, hospitalizations, and mortality rates among adults 60 to 64 years old in Mexico between April and June 2021. RESULTS: We estimated average effectiveness levels of 60.9% against confirmed cases of Covid-19. Vaccination also decreased hospitalizations and deaths by 62.7 and 62.6%, respectively. After adjusting for vaccination coverage, we found an impact of 79.1, 80.9, and 81.3% reduction in new cases, hospitalizations, and deaths among the vaccinated. CONCLUSION: Despite the significant progress in our knowledge of Covid-19 vaccination effectiveness, the available evidence relies mostly on experiences from high-income countries. This study contributes to the scientific literature of Covid-19 vaccination effectiveness in a middle-income country with a multi-vaccine scheme.

Building upon the sugar beverage tax in Mexico: a modelling study of tax alternatives to increase benefits.

INTRODUCTION: In 2014, Mexico implemented a one peso-per-litre tax to sugar-sweetened beverage (SSB). Even though this tax reduced household purchases and predicted population health gains, the magnitude is lower compared with taxes implemented in other settings. In this study, we assessed what would happen if Mexico modified its existing tax to get higher benefits based on currently implemented taxes elsewhere. METHODS: For each tax scenario, we estimated net benefits as the difference between healthcare savings and lost jobs. We created hypothetical scenarios in which the current tax doubled or would be modified based on existing tax designs around the world including specific taxes (sugar-density or volumetric) and ad-valorem taxes. RESULTS: We found that the largest benefits would correspond to a tax increase of 7.4 Mexican pesos (0.45 US dollars (USD)) per SSB litre, following the current tax in Bahrain (the highest tax rate option). This tax is predicted to yield net benefits equivalent to USD 24.7 billion after 10 years of the tax redesign. We also found that sugar-density taxes can result in larger net benefits since, in addition to reductions in consumption associated with responses to prices, they induce product reformulation. Middle-income households are the most benefited group because they reported the highest baseline prevalence of obesity and the largest price elasticity. CONCLUSION: Policymakers should consider pursuing a tax reform adding to the current tax, with significant increases in prices linked to a sugar-density strategy to reach a higher benefit.