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Background: Mammography is crucial for early breast cancer detection. In Latin America, Argentina faces a significant breast cancer burden, with varying mammography rates. The social factors influencing mammography practices remain unclear. This study aimed to identify the proximal and distal social determinants of this practice among Argentinean women using a multilevel approach., Methods: This nationwide cross-sectional study included 4,924 women aged 50-70 participating in the 2018 National Risk Factor Survey of Argentina. Two-level logistic models were used to estimate measures of association (ORs) between timely mammography practice (within the last 2 years) and selected covariates (sociodemographics, proximal environment, and distal-level variables). The intraclass correlation coefficient (ICC) and proportional change in variance (PCV) were calculated., Results: 62.8% of women underwent timely mammography. Age (OR=0.96; 95%CI 0.94-0.97), health insurance (OR=2.22; 95%CI 1.87-2.63), education (OR=2.1; 95%CI 1.74-2.64), and income (OR=1.56; 95%CI 1.23-1.97) were associated with mammography practice. Women in non-marital (OR=0.61; 95%CI 0.52-0.72) or larger households (OR=0.61; 95%CI 0.51-0.63) were less likely to have timely mammograph; living in a larger city was positively associated (OR=1.28; 95%CI 1.12-1.46). Women in provinces with higher physician density (OR=1.06; 95%CI 1.01-1.11) and lower maternal mortality ratio (OR=0.9; 95%CI 0.87-0.96) had higher chances of timely mammography. The ICC and PCV suggested that the explored healthcare indicators largely explained the macro-contextual effect., Conclusions: Multilevel factors influenced mammography practices in Argentina. The results highlight disparities linked to sociodemographic characteristics and healthcare resources., Impact: Efforts to address social inequalities in breast cancer screening must consider multilevel determinants, including in healthcare settings.

Introduction. The onset of the SARS-CoV-2 pandemic raised questions about its behavior in different scenarios. Objective. To describe the clinical and epidemiological behavior of COVID-19 in pediatric patients living in an agricultural-industrial city across 3 periods (2020 to 2022). Population and methods. Observational, analytical study of children under 18 years diagnosed with COVID-19 in General Cabrera. Sex, age, symptoms, comorbidities, hospitalization, and death were analyzed. The χ² test was used to analyze the association between symptoms and period and the KruskalWallis test, to analyze differences in symptom duration per period. Confidence level: 95%. Results. In the study period, 194 cases in children under 18 years were confirmed. Only 1% required hospitalization; no deaths were recorded. Children's median age was 14 years; 51% were boys; 68% were asymptomatic; 2% had associated comorbidities. Conclusion. SARS-CoV-2 infection was low in pediatrics and showed a distinct behavior by period., (Sociedad Argentina de Pediatría.)

Seroepidemiological studies help identify the indirect distribution of diseases, detecting serological markers of immunity and demonstrating undiagnosed infections in the general population. The objectives were to estimate the seroprevalence of SARS-CoV-2 antibodies in Córdoba, Argentina, from December 2020 to January 2021 and to identify factors associated with the virus' contagiousness. A population-based cross-sectional observational study was performed in 3,225 individuals over two years of age living in Córdoba city, selected by multiple-stage random sampling proportional to distribution by gender, age group, and socioeconomic status in the city's population. Clinical characteristics, anthropometry, and comorbidities were collected by interview. Qualitative serological testing was performed for detection of SARS-CoV-2 nucleocapsid IgG antibodies (ARCHITECT, Abbott). SARS-CoV-2 seroprevalence was estimated for the total population and by age group, sex, socioeconomic status, and presence of target diseases. Prevalence ratios (PR) were estimated using a log-binomial regression model. SARS-CoV-2 seropositivity was 16.68% (95%CI: 15.41-18.01). Age 2 to 18 years, living in neighborhoods with low socioeconomic status, and obesity increased the odds of seropositivity (PR = 1.50; 95%CI: 1.10-2.04, PR = 1.91; 95%CI: 1.34-2.67 and PR = 1.39; 95%CI: 1.04-1.85). The results indicate that the city of Córdoba displays differential attributes that increase the likelihood of a positive SARS-CoV-2 antibody test. This allows targeting epidemiological surveillance strategies to reduce the spread of the virus.

Objective: To determine the effectiveness of vaccination against SARS-CoV-2 in preventing illness and death from COVID-19 in Córdoba, Argentina, during the period from January through June 2021., Methods: A retrospective cohort study was conducted among 1,139,458 residents of the province of Córdoba. Multiple logistic regression models were developed to describe the relationship between vaccination and the presence of SARS-CoV-2 or death from COVID-19, while taking account of comorbidities and chronic disease risk factors and adjusting for sex and age., Results: Among the general population, having received one or two doses of vaccine reduced the risk of illness by 98.8% and 99.3%, respectively, and the risk of dying by 83% and 96.5%, respectively. Among those who developed COVID-19, the probability of dying was reduced by 57% and 80%, respectively. Regarding probability of death, risk increased with age, with being male, and with obesity, arterial hypertension, and diabetes mellitus., Conclusion: Vaccination is effective and protects against the risk of getting COVID-19, developing severe disease, or dying. Having obesity, arterial hypertension, or diabetes mellitus, in descending order, increases the risk of death.

The study aimed to identify epidemiological-nutritional profiles in Argentina and to compare the burden of morbimortality from COVID-19. A multigroup ecological study was conducted with 24 geographic units in Argentina. We estimated the percent change from 2005 to 2018 in indicators of the epidemiological-nutritional transition and sociodemographic indicators according to geographic unit. We performed principal components analysis and hierarchical cluster analysis to identify geographic groupings to define profiles in the epidemiological-nutritional transition. By group, we calculated summary measures of COVID-19 cumulative incidence (CI), mortality, and case fatality (epidemiological week 50), establishing comparisons via Student's t test. Three profiles were identified: (1) reemergence of infectious diseases, (2) persistence of cardiovascular diseases despite social, health, and lifestyle improvements, and (3) consolidation of the triad obesity-sedentarism-cardiometabolic diseases. Mean COVID-19 cumulative incidence and mortality were higher in provinces with profile 1 compared to profile 2 (CI: p = 0.0159; mortality: p = 0.0187) and profile 3 (CI: p = 0.0205). Case-fatality was higher in profile 3, which includes provinces with more unfavorable socioeconomic conditions, showing significant differences from profile 2 (p=0.0307). In conclusion, there are distinct epidemiological-nutritional profiles in Argentina which tend to differ in terms of their COVID-19 epidemiological situation. Strategies to fight COVID-19 should consider the underlying epidemiological, nutritional, and sociodemographic characteristics.

Objective: The present study aimed to identify nutrition transition (NT) profiles in Argentina (2005-2013) and assess their association with obesity in the adult population., Design: A large cross-sectional study was performed considering data sets of nationally representative surveys. A multiple correspondence analysis coupled with hierarchical clustering was conducted to detect geographical clusters of association among sociodemographic and NT indicators. Multilevel logistic regression models were used to assess the effect of NT profile (proxy variable of contextual order) on obesity occurrence., Setting: First, we used geographically aggregated data about the adult and child populations in Argentina. Second, we defined the population of adults who participated in the National Survey of Chronic Disease Risk Factors (2013) as the study population.ParticipantsTwenty-four geographical units that make up the territory of Argentina and 32 365 individuals over 18 years old living in towns of at least 5000 people., Results: Three NT profiles were identified: 'Socionutritional lag' (characterized by undernutrition and socio-economically disadvantaged conditions; profile 1); 'Double burden of malnutrition' (undernutrition and overweight in highly urbanized scenarios; profile 2); and 'Incipient socionutritional improvement' (low prevalence of malnutrition and more favourable poverty indicator values; profile 3). Profiles 1 and 2 were significantly associated (OR; 95 % CI) with a higher risk of obesity occurrence in adults (1·17; 1·02, 1·32 and 1·44; 1·26, 1·64, respectively) compared with profile 3., Conclusions: Argentina is facing different NT processes, where sociodemographic factors play a major role in shaping diverse NT profiles. Most of the identified profiles were linked to obesity burden in adults.