Uncontrolled hypertension (HTN) increases the risk of adverse health events. This study aimed to identify key predictors of uncontrolled HTN in 1,308 Mexican adults with a prior diagnosis of HTN who were undergoing pharmacological treatment. We utilized data from the 2022 National Health and Nutrition Survey and applied data-driven algorithms within an artificial intelligence framework to enhance predictive accuracy and interpretability. Specifically, we integrated Random Forest, XGBoost, LASSO regression, and SHAP analysis. Uncontrolled HTN was defined as systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 80 mmHg based on two readings. We applied LASSO regression to exclude unrelated factors and trained Random Forest and XGBoost algorithms to identify the most important predictors. The key contributors to model accuracy in Random Forest were years since HTN diagnosis (11.9), age (9.4), and source of medical care (4.6), while SHAP analysis in XGBoost further highlighted age (0.115) and source of medical care (0.065) as significant factors. When compared to a traditional logistic regression model, the data-driven approach demonstrated superior predictive performance, with Random Forest achieving an AUC of 0.75 (95% CI 0.72–0.77) versus logistic regression (AUC = 0.61, 95% CI 0.59–0.64). XGBoost exhibited lower predictive capacity (AUC = 0.54, 95% CI 0.49–0.60). These findings underscore the importance of age, duration since diagnosis, and source of medical care in predicting uncontrolled HTN. If replicated, this evidence can inform public health strategies to better target at-risk populations and optimize HTN management through data-driven interventions.

Sugarcane production has been linked to the release of heavy metals and metalloids (HM/MTs) into the environment, raising concerns about potential health risks. This study aimed to assess the levels of 19 HM/MTs in children living near a sugarcane mill through a pilot biomonitoring investigation. We investigated sex-related differences in these element levels and their correlations. A cross-sectional study was conducted, analyzing data from 20 children in the latter part of 2023. Spearman correlation coefficients with 95% confidence intervals (CIs) were used to assess the relationships between urinary HM/MT levels. Detectable levels of 17 out of the 19 HM/MTs were found across the entire study sample, with arsenic and copper detectable in 95% of the children. Titanium exhibited higher levels in boys compared to girls ($p$ = 0.017). We identified 56 statistically significant correlations, with 51 of them being positive, while the remaining coefficients indicated negative relationships. This study characterized HM/MT levels in school-aged children residing near a sugarcane mill through a pilot biomonitoring investigation. Further research employing larger sample sizes and longitudinal assessments would enhance our understanding of the dynamics and health impacts of HM/MT exposure in this vulnerable population.

En las viviendas de interés social ubicadas en regiones de clima cálido-húmedo del occidente de México el diseño generalizado de los espacios con condiciones de ventilación inadecuadas, plantea importantes desafíos para el bienestar de los residentes. Las altas temperaturas, la humedad y la ventilación insuficiente contribuyen a la baja calidad del aire y al malestar térmico en estas viviendas. En consecuencia, se emplean mecanismos artificiales sin considerar alternativas pasivas. El estudio tiene como objetivo describir las aplicaciones más efectivas de los dispositivos de ventilación pasiva en este clima y el impacto que puede representar en la calidad de vida de los residentes. A través de un análisis bibliográfico y estudios de casos relacionados con la implementación de la ventilación pasiva, se destacan estrategias eficaces que demuestran su impacto positivo en la temperatura interior, la calidad del aire y el consumo de energía. Esta descripción proporciona alternativas sostenibles para implementarlas en viviendas de interés social en clima cálido-húmedo.

Este libro, resultado de la etapa 2 del Proyecto Nacional de Investigación e Incidencia (ProNall 321260) de la SECIHTI, destaca por su enfoque sistémico y transdisciplinario: cada capítulo integró seis subsistemas (técnica constructiva, habitabilidad, política pública, servicios, desarrollo comunitario y riesgos). A lo largo de siete capítulos, especialistas en arquitectura, ingeniería, biología, derecho y antropología abordan el rezago habitacional en México. Los temas van desde el diseño participativo en Chiapas, la baja calidad de materiales en Tuxtla Gutiérrez, la preservación del adobe en Oaxaca, la eficiencia de una losa térmica para autoconstrucción, el potencial del biopoliuretano renovable, hasta el uso del carrizo en zonas áridas del norte. Valiosa para académicos, gestores públicos y constructoras, la obra tiende puentes entre laboratorio, comunidad y política habitacional, demostrando que es posible construir con materiales locales, normas técnicas y, sobre todo, con la voz de los futuros habitantes.