Análisis de la carga de enfermedad atribuible a los factores de riesgo ambientales en México en el período 1990-2021. Identificación de avances, rezagos y emergencias / Analysis of the burden of disease attributable to environmental risk factors in Mexico in the 1990-2021 period. Identification of advances, lags and emergencies

Resumen Antecedentes: Se estima que los factores de riesgo ambientales (FRA) fueron responsables en 2019 de nueve millones de muertes en el mundo. Objetivo: A partir de datos del estudio Global Burden of Disease, se analizaron indicadores de pérdida de salud asociada a la exposición a FRA en México. Material y métodos: Se analizaron números absolutos y porcentajes poblacionales de muertes y años de vida saludable (AVISA) perdidos según sexo atribuidos a FRA seleccionados en los ámbitos nacional y estatal, así como las tendencias estandarizadas por edad de 1990 a 2021. Resultados: En 2021, la contaminación por material particulado en ambiente exterior mostró la mayor mortalidad y AVISA perdidos por los FRA seleccionados (42.2 y 38.1 %, respectivamente), seguida de la exposición a plomo (20.6 y 13.4 %) y temperatura baja (19.8 y 12.3 %). Ambos indicadores han disminuido en todos los FRA seleccionados, en magnitudes diferentes entre 1991 y 2021, excepto la temperatura alta. Conclusiones: A pesar de las disminuciones en los últimos 32 años, el material particulado en ambiente exterior mostró la mayor mortalidad y AVISA perdidos, seguido de la exposición a plomo. Es fundamental fortalecer las políticas de calidad del aire y exposición a plomo en México.

Abstract Background: It is estimated that environmental risk factors (ERF) were responsible for nine million deaths worldwide in 2019. Objective: Using data from the Global Burden of Disease study, indicators of health loss associated with exposure to ERF in Mexico were analyzed. Material and methods: Absolute numbers and population percentages of deaths and disability-adjusted life years (DALY) lost attributed to selected ERFs were analyzed at the national and state level and by sex, as well as age-standardized trends from 1990 to 2021. Results: In 2021, ambient particulate matter pollution showed the highest mortality and DALYs lost attributed to selected ERFs (42.2 and 38.1% respectively), followed by lead exposure (20.6 and 13.4%) and low temperature (19.8 and 12.3%). Both indicators have decreased for all selected ERAs by different magnitudes between 1991 and 2021, except for high temperature. Conclusions: Despite decreases in the last 32 years, outdoor environment particulate matter showed the highest mortality and DALYs lost, followed by lead exposure. It is essential to strengthen air quality and lead exposure policies in Mexico.

Analysis of the burden of disease attributable to environmental risk factors in Mexico in the 1990-2021 period. Identification of advances, lags and emergencies.

BACKGROUND: It is estimated that environmental risk factors (ERF) were responsible for nine million deaths worldwide in 2019. OBJECTIVE: Using data from the Global Burden of Disease study, indicators of health loss associated with exposure to ERF in Mexico were analyzed. MATERIAL AND METHODS: Absolute numbers and population percentages of deaths and disability-adjusted life years (DALY) lost attributed to selected ERFs were analyzed at the national and state level and by sex, as well as age-standardized trends from 1990 to 2021. RESULTS: In 2021, ambient particulate matter pollution showed the highest mortality and DALYs lost attributed to selected ERFs (42.2 and 38.1% respectively), followed by lead exposure (20.6 and 13.4%) and low temperature (19.8 and 12.3%). Both indicators have decreased for all selected ERAs by different magnitudes between 1991 and 2021, except for high temperature. CONCLUSIONS: Despite decreases in the last 32 years, outdoor environment particulate matter showed the highest mortality and DALYs lost, followed by lead exposure. It is essential to strengthen air quality and lead exposure policies in Mexico.

ANTECEDENTES: Se estima que los factores de riesgo ambientales (FRA) fueron responsables en 2019 de nueve millones de muertes en el mundo. OBJETIVO: A partir de datos del estudio Global Burden of Disease, se analizaron indicadores de pérdida de salud asociada a la exposición a FRA en México. MATERIAL Y MÉTODOS: Se analizaron números absolutos y porcentajes poblacionales de muertes y años de vida saludable (AVISA) perdidos según sexo atribuidos a FRA seleccionados en los ámbitos nacional y estatal, así como las tendencias estandarizadas por edad de 1990 a 2021. RESULTADOS: En 2021, la contaminación por material particulado en ambiente exterior mostró la mayor mortalidad y AVISA perdidos por los FRA seleccionados (42.2 y 38.1 %, respectivamente), seguida de la exposición a plomo (20.6 y 13.4 %) y temperatura baja (19.8 y 12.3 %). Ambos indicadores han disminuido en todos los FRA seleccionados, en magnitudes diferentes entre 1991 y 2021, excepto la temperatura alta. CONCLUSIONES: A pesar de las disminuciones en los últimos 32 años, el material particulado en ambiente exterior mostró la mayor mortalidad y AVISA perdidos, seguido de la exposición a plomo. Es fundamental fortalecer las políticas de calidad del aire y exposición a plomo en México.

Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021.

Importance: Some individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID). Objective: To estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration. Design, Setting, and Participants: Bayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022. Exposures: Symptomatic SARS-CoV-2 infection. Main Outcomes and Measures: Proportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age. Results: A total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months. Conclusions and Relevance: This study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.

Health effects associated with vegetable consumption: a Burden of Proof study.

Previous research suggests a protective effect of vegetable consumption against chronic disease, but the quality of evidence underlying those findings remains uncertain. We applied a Bayesian meta-regression tool to estimate the mean risk function and quantify the quality of evidence for associations between vegetable consumption and ischemic heart disease (IHD), ischemic stroke, hemorrhagic stroke, type 2 diabetes and esophageal cancer. Increasing from no vegetable consumption to the theoretical minimum risk exposure level (306-372 g daily) was associated with a 23.2% decline (95% uncertainty interval, including between-study heterogeneity: 16.4-29.4) in ischemic stroke risk; a 22.9% (13.6-31.3) decline in IHD risk; a 15.9% (1.7-28.1) decline in hemorrhagic stroke risk; a 28.5% (-0.02-51.4) decline in esophageal cancer risk; and a 26.1% (-3.6-48.3) decline in type 2 diabetes risk. We found statistically significant protective effects of vegetable consumption for ischemic stroke (three stars), IHD (two stars), hemorrhagic stroke (two stars) and esophageal cancer (two stars). Including between-study heterogeneity, we did not detect a significant association with type 2 diabetes, corresponding to a one-star rating. Although current evidence supports increased efforts and policies to promote vegetable consumption, remaining uncertainties suggest the need for continued research.

Health effects associated with consumption of unprocessed red meat: a Burden of Proof study.

Characterizing the potential health effects of exposure to risk factors such as red meat consumption is essential to inform health policy and practice. Previous meta-analyses evaluating the effects of red meat intake have generated mixed findings and do not formally assess evidence strength. Here, we conducted a systematic review and implemented a meta-regression-relaxing conventional log-linearity assumptions and incorporating between-study heterogeneity-to evaluate the relationships between unprocessed red meat consumption and six potential health outcomes. We found weak evidence of association between unprocessed red meat consumption and colorectal cancer, breast cancer, type 2 diabetes and ischemic heart disease. Moreover, we found no evidence of an association between unprocessed red meat and ischemic stroke or hemorrhagic stroke. We also found that while risk for the six outcomes in our analysis combined was minimized at 0 g unprocessed red meat intake per day, the 95% uncertainty interval that incorporated between-study heterogeneity was very wide: from 0-200 g d-1. While there is some evidence that eating unprocessed red meat is associated with increased risk of disease incidence and mortality, it is weak and insufficient to make stronger or more conclusive recommendations. More rigorous, well-powered research is needed to better understand and quantify the relationship between consumption of unprocessed red meat and chronic disease.

A global systematic analysis of the occurrence, severity, and recovery pattern of long COVID in 2020 and 2021.

Importance: While much of the attention on the COVID-19 pandemic was directed at the daily counts of cases and those with serious disease overwhelming health services, increasingly, reports have appeared of people who experience debilitating symptoms after the initial infection. This is popularly known as long COVID. Objective: To estimate by country and territory of the number of patients affected by long COVID in 2020 and 2021, the severity of their symptoms and expected pattern of recovery. Design: We jointly analyzed ten ongoing cohort studies in ten countries for the occurrence of three major symptom clusters of long COVID among representative COVID cases. The defining symptoms of the three clusters (fatigue, cognitive problems, and shortness of breath) are explicitly mentioned in the WHO clinical case definition. For incidence of long COVID, we adopted the minimum duration after infection of three months from the WHO case definition. We pooled data from the contributing studies, two large medical record databases in the United States, and findings from 44 published studies using a Bayesian meta-regression tool. We separately estimated occurrence and pattern of recovery in patients with milder acute infections and those hospitalized. We estimated the incidence and prevalence of long COVID globally and by country in 2020 and 2021 as well as the severity-weighted prevalence using disability weights from the Global Burden of Disease study. Results: Analyses are based on detailed information for 1906 community infections and 10526 hospitalized patients from the ten collaborating cohorts, three of which included children. We added published data on 37262 community infections and 9540 hospitalized patients as well as ICD-coded medical record data concerning 1.3 million infections. Globally, in 2020 and 2021, 144.7 million (95% uncertainty interval [UI] 54.8-312.9) people suffered from any of the three symptom clusters of long COVID. This corresponds to 3.69% (1.38-7.96) of all infections. The fatigue, respiratory, and cognitive clusters occurred in 51.0% (16.9-92.4), 60.4% (18.9-89.1), and 35.4% (9.4-75.1) of long COVID cases, respectively. Those with milder acute COVID-19 cases had a quicker estimated recovery (median duration 3.99 months [IQR 3.84-4.20]) than those admitted for the acute infection (median duration 8.84 months [IQR 8.10-9.78]). At twelve months, 15.1% (10.3-21.1) continued to experience long COVID symptoms. Conclusions and relevance: The occurrence of debilitating ongoing symptoms of COVID-19 is common. Knowing how many people are affected, and for how long, is important to plan for rehabilitative services and support to return to social activities, places of learning, and the workplace when symptoms start to wane. Key Points: Question: What are the extent and nature of the most common long COVID symptoms by country in 2020 and 2021?Findings: Globally, 144.7 million people experienced one or more of three symptom clusters (fatigue; cognitive problems; and ongoing respiratory problems) of long COVID three months after infection, in 2020 and 2021. Most cases arose from milder infections. At 12 months after infection, 15.1% of these cases had not yet recovered.Meaning: The substantial number of people with long COVID are in need of rehabilitative care and support to transition back into the workplace or education when symptoms start to wane.

Prevalence and causes of vision loss in China from 1990 to 2019: findings from the Global Burden of Disease Study 2019.

BACKGROUND: Vision loss is an important public health issue in China, but a detailed understanding of national and regional trends in its prevalence and causes, which could inform health policy, has not been available. This study aimed to assess the prevalence, causes, and regional distribution of vision impairment and blindness in China in 1990 and 2019. METHODS: Data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were used to estimate the prevalence of moderate and severe vision impairment and blindness in China and compare with other Group of 20 (G20) countries. We used GBD methodology to systematically analyse all available demographic and epidemiological data at the provincial level in China. We compared the age-standardised prevalences across provinces, and the changes in proportion of vision loss attributable to various eye diseases in 1990 and 2019. We used two different counterfactual scenarios with respect to population structure and age-specific prevalence to assess the contribution of population growth and ageing to trends in vision loss. FINDINGS: In 2019, the age-standardised prevalence was 2·57% (uncertainty interval [UI] 2·28-2·86) for moderate vision impairment, 0·25% (0·22-0·29) for severe vision impairment, and 0·48% (0·43-0·54) for blindness in China, which were all below the global average, but the prevalence of moderate and severe vision impairment had increased more rapidly than in other G20 countries from 1990 to 2019. The prevalence of vision loss increased with age, and the main causes of vision loss varied across age groups. The leading causes of vision impairment in China were uncorrected refractive error, cataract, and macular degeneration in both 1990 and 2019 in the overall population. From 1990 to 2019, the number of people with moderate vision impairment increased by 133·67% (from 19·65 to 45·92 million), those with severe vision impairment increased by 147·14% (from 1·89 to 4·67 million), and those with blindness increased by 64·35% (from 5·29 to 8·69 million); in each case, 20·16% of the increase could be explained by population growth. The contributions to these changes by population ageing were 87·22% for moderate vision impairment, 116·06% for severe vision impairment, and 99·22% for blindness, and the contributions by age-specific prevalence were 26·29% for moderate vision impairment, 10·91% for severe vision impairment, and -55·04% for blindness. The prevalence and specific causes of vision loss differed across provinces. INTERPRETATION: Although a comprehensive national policy to prevent blindness is in place, public awareness of visual health needs improving, and reducing the prevalence of moderate and severe vision impairment should be prioritised in future work. FUNDING: China National Key Research and Development Programme and Beijing Municipal Special Funds for Medical Research on Public Welfare Development and Reform.