To analyse the evolution of the frequency of type 2 diabetes (T2D) and its relationship to eating patterns in Mexico from 1961 to 2013, and the Gini coefficient, Human Development Index (HDI) and Gross Domestic Product (GDP). Mexico ranked sixth in world prevalence of diabetes in 2015 with an estimated 11.4 million Mexicans affected. Using data from the Balance Sheets Food published by the Food and Agriculture Organization of the United Nations (FAO), the means of apparent food consumption (kcal/person/day) were grouped by decades. Data for mortality rate for diabetes were obtained from 1990 until 2015. Spearman's correlation coefficient was calculated between the diabetes mellitus mortality rate and all food groups. Pearson's correlation explored the relationship between socio economic indicators and the prevalence of T2D diabetes. The mortality rate for T2D has increased over the last decades. An increase of 647.9kcal/person/day in apparent food consumption was observed. Cereal and legume consumption decreased, while apparent sugar, animal food and animal fat and vegetable oil consumption increased substantially. HDI and GDP showed a directly proportional relationship to diabetes. Spearman's correlation coefficient was statistically significant only for sugar. The Gini coefficient suggests that in lower inequalities there is an increased frequency of diabetes. The increase in the mortality rate of type 2 diabetes was constant during the study period, which coincides with the increase in energy density of Mexican eating patterns from 1961 to 2013. The higher the Gini coefficient, HDI and GDP, the higher the mortality observed for diabetes.

We explored how the knowledge translation and innovation processes are structured when theyresult in innovations, as in the case of liposomal doxorubicin research. In order to map the processes, a literature network analysis was made through Cytoscape and semantic analysis was performed by GOPubmed which is based in the controlled vocabularies MeSH (Medical Subject Headings) and GO (Gene Ontology). We found clusters related to different stages of the technological development (invention, innovation and imitation) and the knowledge translation process (preclinical, translational and clinical research), and we were able to map the historic emergence of Doxil as a paradigmatic nanodrug. This research could be a powerful methodological tool for decision-making and innovation management in drug delivery research.

The gut microbiota plays a vital role in various physical and physiological processes, including immune system regulation, neurotransmitter production, inflammatory response modulation, and the inhibition of pathogenic organisms. An imbalance in the microbial community, known as dysbiosis, has been associated with numerous health issues. Biological influences, health behaviors, socioeconomic determinants, and nutritional status can disrupt this balance. Objective: To evaluate the differences in the gut microbiota composition in medical students according to fiber intake, ultra-processed food (UPF) consumption, sex, body mass index, and socioeconomic status. Methods: A cross-sectional study was conducted with 91 medical students, and 82 fecal samples were analyzed. Sociodemographic and dietary data were collected via questionnaires, UPF consumption was assessed using the NOVA classification, and trained nutritionists performed anthropometry. DNA extraction and 16S rRNA sequencing were performed for the microbial analysis. Bioinformatics and statistical tests included the Dunn and Kruskal–Wallis tests, a PCoA analysis, PERMANOVA, ANOVA, Spearman’s rank correlation, and alpha and beta diversity metrics. Results: Dietary fiber intake strongly influences gut microbiota composition. Lower fiber intake was associated with a higher prevalence of Parabacteroides and Muribaculaceae. Prevotella was more prevalent in individuals with lower UPF intake, while Phascolarctobacterium was prevalent in those with higher UPF consumption. Significant differences were associated with sex and UPF consumption but not BMI or SES. Women consumed more UPF, which correlated with distinct gut microbiota profiles. Conclusions: This study highlights the significant impact of diet, particularly fiber intake and UPF, on gut microbiota composition, emphasizing the importance of dietary habits in maintaining gut health.

Introduction: Compared to the general population, medical students are at greater risk of suffering from mental health problems, which can also affect their academic performance and professional future. Objectives: To evaluate the factors associated with depression, anxiety, and stress in medical students in Mexico. Methods: This was a cross-sectional study. A self-administered questionnaire was used to obtain sociodemographic, behavioral, and grade point average data, including the Depression, Anxiety, and Stress Scale-21 (DASS-21) screening instrument. Analysis: Measures of central tendency, dispersion, frequency, and proportion were used. The Wilcoxon rank-sum and immediate proportions tests were used to determine differences between the sexes, and the chi-square and Fisher’s exact tests were used between the scholar years. Logistic and linear regression models were performed to evaluate factors associated with depression, stress, and anxiety. Results: Depression affected 49% of students and was more common during the third year (60.1%). Anxiety was found in 66.1% of students and was also more common in third year (74.7%). Stress affected 73.2% of students, with greater severity and frequency in women. Low perception of social support and adverse childhood experiences were found to be associated with increased risk of depression, anxiety, and stress. However, in all cases, physical activity was found to be a protective factor. Conclusions: Studying mental health in medical students in Mexico is crucial to improving their well-being and academic performance, preventing burnout, and optimizing medical care. Adapting interventions to local and cultural factors can strengthen the health system and support the training of better professionals.

Unhealthy diets are recognized as a major risk factor for many diseases. The decrease in costs of industrialized products, as well as the possible misinformation about a healthy diet, has led to new behaviors in the dietary patterns of the pediatric population. The costs of dietary patterns have not been estimated in our population, so the objective of this study was to determine the cost associated with dietary patterns in Mexican children and adolescents, hypothesizing that a healthy diet is not necessarily more economically expensive. This study analyzed data from a population-based cross-sectional study of healthy children and adolescents in Mexico City. Data were collected from a food frequency questionnaire and the meal cost of habitual food shopping. Eating patterns were obtained by using principal component analysis. A micro-costing technique was performed to obtain the direct costs of each pattern. When comparing the healthy pattern with the transition and non-healthy patterns, it was observed that there were no statistically significant differences between the dietary patterns (p = 0.8293). The cost of the healthy pattern only takes up 16.6% of the total biweekly income of a salaried Mexican. In this study, no differences were observed between the costs of a healthy and a less healthy diet.

To analyse the changes in eating patterns in Argentina from 1961 to 2011, and to assess changes in overweight and obesity in their socioeconomic and political context, we performed a hierarchical cluster analysis. We used the information from Food Balance Sheets of the United Nations Food and Agriculture Organisation to identify dietary patterns of apparent consumption. Years were grouped into five patterns. The food group with the highest apparent consumption was cereals (30% of total kcal/person/day) although this decreased slightly. Meats were second and their contribution decreased by 12%. The following foods contribution increased during the period: Sugar and milk by 2% and vegetable oils by 6%. The changes observed in the number of kcal/person/day were in line with changes in real wage, and coincided with economic and political crises that Argentina experienced during that period. Changes in eating patterns allow us to interpret that they relate to the increase in overweight and obesity.