Search

Poor nutritional conditions persist in many Mayan communities in Yucatán, Mexico, even though various programs have been implemented. The study aimed to compare the effects of a community-based nutritional intervention with an intercultural focus versus a conventional nutritional intervention on body mass index (BMI) and diet in women in Mayan communities in Yucatán. The sample included adult women with BMI ≥ 25kg/m2 from neighboring rural Mayan villages. Both interventions lasted three months with 11 sessions and followed the prevailing guidelines. The community-based intervention used an intercultural tool called Good Mayan Food [Plato del Bien Comer Maya], besides strategies designed according to information obtained from a prior qualitative study phase using interviews. The group that received the community-based intervention (n = 7), compared to the conventional intervention group (n = 9), showed larger decreases in BMI (-0.58 ± 0.70 kg/m2 and +0.27 ± 0.64kg/m2; p = 0.042), waist circumference (-2.15 ± 2.60 cm and -0.50 ± 0.75 cm; p = 0.042), and consumption of fats (-53.23 ± 21.92 grams and -7.34 ± 25.77 grams; p = 0.004), as well as higher increases in weekly consumption of some local foods such as nance fruit (p = 0.012), tamarind (p = 0.001), and chili peppers (p = 0.004). The community-based intervention was the only one to show a significant decrease in daily calorie intake (baseline: 2,067 ± 91 kcal/day, at three months: 1,474 ± 31 kcal/day; p = 0.018), and both groups showed decreases in the consumption of ultra-processed foods, but without significant differences between the two groups. The community-based intervention group showed better results than the conventional intervention group.

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.

The world faces an aging population that implies a large number of people affected with chronic diseases. Argentina has reached an advanced stage of demographic transition and presents a comparatively high rate of cancer mortality within Latin America. The objectives of this study were to examine cancer mortality trends in the province of Córdoba, Argentina, between 1986 and 2011, and to analyze the differences attributable to risk variations and demographic changes. Longitudinal series of age-standardized mortality rates for overall, breast and prostate cancers were modeled by Joinpoint regression to estimate the annual percent change. The Bashir & Estève method was used to split crude mortality rate variation into three components: mortality risk, population age structure and population size. A decreasing cancer age-standardized mortality rates trend was observed (1986-2011 annual percent change: -1.4, 95%CI: -1.6, -1.2 in men; -0.8, 95%CI: -1.0, -0.6 in women), with a significant shift in 1996. There were positive crude mortality rate net changes for overall female cancer, breast and prostate cancers, which were primarily attributable to demographic changes. Inversely, overall male cancer crude mortality rate showed a 9.15% decrease, mostly due to mortality risk. Despite favorable age-standardized mortality rates trends, the influence of population aging reinforces the challenge to control cancer in populations with an increasingly aged demographic structure.