BackgroundThe burden of obesity differs by socioeconomic status. We aimed to characterise the prevalence of obesity among adult men and women in Latin America and the Caribbean by socioeconomic measures and the shifting obesity burden over time.Methods We did a cross-sectional series analysis of obesity prevalence by socioeconomic status by use of national health surveys done between 1998 and 2017 in 13 countries in Latin America and the Caribbean. We generated equiplots to display inequalities in, the primary outcome, obesity by wealth, education, and residence area. We measured obesity gaps as the difference in percentage points between the highest and lowest obesity prevalence within each socioeconomic measure, and described trends as well as changing patterns of the obesity burden over time. Findings 479 809 adult men and women were included in the analysis. Obesity prevalence across countries has increased over time, with distinct patterns emerging by wealth and education indices. In the most recent available surveys, obesity was most prevalent among women in Mexico in 2016, and the least prevalent among women in Haiti in 2016. The largest gap between the highest and lowest obesity estimates by wealth was observed in Honduras among women (21•6 percentage point gap), and in Peru among men (22•4 percentage point gap), compared with a 3•7 percentage point gap among women in Brazil and 3•3 percentage points among men in Argentina. Urban residents consistently had a larger burden than their rural counterparts in most countries, with obesity gaps ranging from 0•1 percentage points among women in Paraguay to 15•8 percentage points among men in Peru. The trend analysis done in five countries suggests a shifting of the obesity burden across socioeconomic groups and different patterns by gender. Obesity gaps by education in Mexico have reduced over time among women, but increased among men, whereas the gap has increased among women but remains relatively constant among men in Argentina.Interpretation The increase in obesity prevalence in the Latin American and Caribbean region has been paralleled with an unequal distribution and a shifting burden across socioeconomic groups. Anticipation of the establishment of obesity among low socioeconomic groups could provide opportunities for societal gains in primordial prevention.

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. Smoking-attributable burden of disease and costs to the health system are very high in Peru. Higher cigarette taxes could have substantial health and economic benefits for the country.

The goal of this study was to identify chronic conditions and multimorbidity patterns in patients with coronavirus disease 2019 (COVID-19) and to examine their associations with pneumonia and death. Methods: This cross-sectional study analyzed the official data of COVID-19 patients in Mexico through May 18, 2020 (released by the Secretaría de Salud de México). Adjusted logistic regression models were applied to assess the associations of comorbidities with pneumonia and death. The marginal effects were estimated, and the probability of pneumonia or death according to the number of comorbidities was graphed for each year of age. Results: Of the 51 053 COVID-19 patients enrolled in the final analysis, 27 667 (54.2%) had no chronic conditions, while 13 652 (26.7%), 6518 (12.8%) and 3216 (6.3%) were reported to have 1, 2, and 3 or more simultaneous conditions, respectively. Overall, a significant incremental gradient was observed for the association between multimorbidity and pneumonia (p<0.001); for 2 chronic conditions, the adjusted odds ratio (aOR) was 2.07 (95% confidence interval [CI], 1.95 to 2.20), and for ≥3 conditions, the aOR was 2.40 (95% CI, 2.22 to 2.60). A significant incremental gradient was also found for the relationship between multimorbidity and death (p<0.001); an aOR of 2.51 (95% CI, 2.30 to 2.73) was found for 2 chronic conditions and an aOR of 3.49 (95% CI, 3.15 to 3.86) for ≥3 conditions. Conclusions: Underlying chronic conditions and multimorbidity are associated with pneumonia and death in Mexican COVID-19 patients. Future investigation is necessary to clarify the pathophysiological processes behind this association, given the high burden of chronic diseases in various countries, including Mexico.

Objectives To determine the optimal anthropometric cut-off points for predicting the likelihood ratios of hypertension and diabetes in the Peruvian population. Design A cross-sectional study was performed to establish cut-off values for body mass index (BMI) and waist circumference [WC], waist-height ratio [WHtR], and Conicity index [C-index]) associated with increased risk of hypertension and diabetes. Youden’s index (YIndex), area under the curve (AUC), sensitivity and specificity were considered. Settings Peruvian households. Participants Peruvian population over the age of 18 years. Results 31,553 subjects were included; 57% being women. Among the women, 53.06% belonged to the 25 to 44-year-old age group [mean age: 41.66 in men and 40.02 in women]. The mean BMI, WHtR and C-index values were higher in women 27.49, 0.61, 1.30 respectively; while the mean WC value was higher in men 92.12 cm (SD±11.28). The best predictors of hypertension in men were the WHtR (AUC=0.64) and the C-index (AUC=0.64) with an optimal cut-off point of 0.57 (YIndex=0.284) and 1.301 (YIndex=0.284), respectively. Women showed an AUC of 0.63 and 0.61 in the WHtR and C-index, respectively, with an optimal cut-off of 0.61 (YIndex=0.236) and 1.323 (YIndex=0.225). The best predictor for diabetes was the C-index: with an AUC=0.67 and an optimal cut-off of 1.337 (YIndex=0.346) for men, and an AUC=0.66 and optimal cut-off of 1.313 (YIndex=0.319) for women. Conclusions Our findings show that in Peruvian adults, the WHtR and the C-index have the strongest association with hypertension in both sexes. Likewise, the C-index had the strongest association with diabetes.

Objetivos: Realizar una revisión sistemática acerca de la efectividad y seguridad del uso de dióxido de cloro y derivados del cloro, en la prevención o el tratamiento de la COVID-19. Materiales y métodos: Se siguieron las pautas internacionales de elaboración de revisiones sistemáticas de PRISMA y el Manual Cochrane para revisiones sistemáticas de intervenciones. La estrategia de búsqueda la desarrolló un bibliotecario y la revisaron dos de los autores. Se complementó la búsqueda electrónica con una búsqueda manual. Se incluyeron ensayos clínicos aleatorizados, estudios cuasiexperimentales, estudios de cohorte, estudios de casos y controles, estudios de corte transversal y reportes de casos; y se excluyeron estudios in vitro o realizados en animales. Dos revisores, de forma independiente, seleccionaron los estudios según los criterios de elegibilidad definidos, usando el aplicativo web Rayyan, en caso de discordancia se hizo partícipe a un tercer revisor. El protocolo de la revisión sistemática se registró en PROSPERO (CRD42020200641). Resultados: No se identificó ningún estudio publicado ni en proceso de publicación que haya evaluado el uso del dióxido de cloro o derivados del cloro, administrado por vía inhalatoria, oral o parenteral en humanos, como agente preventivo o terapéutico de la COVID-19 o en infecciones por otros coronavirus. Solo se identificó el registro de un único estudio catalogado como observacional que hasta ahora no tiene resultados. Conclusiones: A la fecha, no existe evidencia científica que apoye el uso del dióxido de cloro o derivados del cloro para prevenir o tratar la COVID-19.

To determine the factors associated and measure the socioeconomic inequalities in people with undiagnosed hypertension in Peru. Materials and methods: An observational, cross-sectional, analytical study was performed using data from the 2019 Demographic and Family Health Survey (ENDES, acronym in Spanish) database. The dependent variable was the presence of undiagnosed hypertension (mean systolic blood pressure !140 mmHg and/or mean diastolic blood pressure !90 mmHg in the two blood pressure measurements and with no prior diagnosis of hypertension by a health care professional). Adjusted prevalence ratios were estimated to determine the factors associated with undiagnosed hypertension. The socioeconomic inequality in undiagnosed hypertension was estimated using concentration curves and the Erreygers concentration index. Results: 67.2% of 3697 persons with hypertension had not been diagnosed. Non-diagnosis of hypertension was more prevalent in men who were residents of the Coast and in inhabitants residing at more than 3000 m above sea level. Being 50 years of age or older, having health insurance, being obese and having diabetes mellitus were associated with a lower prevalence of undiagnosed hypertension. Inequality of the non-diagnosis of hypertension was found to be concentrated in the poorest population. Conclusions: At least one out of every two adult Peruvians with hypertension have not been diagnosed with this condition. Socioeconomic inequality was found, as well as socio-demographic and health-related factors associated with undiagnosed hypertension. Our findings identify some population subgroups in which interventions for screening and treatment of hypertension should be prioritized in order to reduce both inequalities and complications of hypertension among the most vulnerable.

Background Understanding patterns of socio-economic inequalities in tobacco consumption is key to design targeted public health policies for tobacco control. This study examines socio-economic inequalities in smoking and involuntary exposure to tobacco smoke between 2005 and 2013. Methods Data were derived from the Argentine National Risk Factors Surveys, conducted in 2005, 2009, and 2013. Two inequality measures were calculated: the age-adjusted prevalence ratio (PR) and the disparity index (DI). Educational level, household income per consumer unit and employment status were used as proxies for socio-economic status (SES). Generalized linear models were used in the analysis. Results Prevalence of smoking decreased from 29.7% to 25.1% between 2005 and 2013, mainly in women (p<0.001). Despite the overall prevalence reduction, socio-economic inequalities in smoking persisted. For both men and women, the DI was moderately high for smoking (14.47%-33.06%) across the three surveys. In men, the PR indicated a higher smoking prevalence for lower educational levels and lower household income throughout the analyzed period. In women, unlike previous years, the 2013 survey showed disparity related to unemployment. Involuntary exposure to tobacco smoke in 2013 was associated with educational level and household income, with lower involuntary exposure among those with higher SES. Conclusions While overall smoking rates have decreased in Argentina, socio-economic disparities related to tobacco smoking persist. Comprehensive tobacco control programs targeted to address these inequalities are essential in developing strategies to reduce health disparities in tobacco-related diseases.