Obstetric risk profiles and causes of death: Estimating their association with cesarean sections among maternal deaths in Mexico.

BACKGROUND: Maternal mortality is a critical indicator of healthcare quality, and in Mexico, this has become increasingly concerning due to the stagnation in its decline, alongside a concurrent increase in cesarean section (C-section) rates. This study characterizes maternal deaths in Mexico, focusing on estimating the association between obstetric risk profiles, cause of death, and mode of delivery. METHODS: Utilizing a retrospective observational design, 4,561 maternal deaths in Mexico from 2010-2014 were analyzed. Data were sourced from the Deliberate Search and Reclassification of Maternal Deaths database, alongside other national databases. An algorithm was developed to extract the Robson Ten Group Classification System from clinical summaries text, facilitating a nuanced analysis of C-section rates. Information on the reasons for the performance of a C-section was also obtained. Logistic regression and multinomial logistic regression models were used to estimate the relation between obstetric risk factors, mode of delivery and causes of maternal death, adjusting for covariates. RESULTS: Among maternal deaths in Mexico from 2010-2014, 47.1% underwent a C-section, with a significant history of previous C-sections observed in 31.4% of these cases, compared to 17.4% for vaginal deliveries (p<0.001). Early prenatal care in the first trimester was more common in C-section cases (46.8%) than in vaginal deliveries (38.3%, p<0.001). A stark contrast was noted in the place of death, with 82.4% of post-C-section deaths occurring in public institutions versus 69.1% following vaginal births. According to Robson's classification, the highest C-section rates were in Group 4 (67.2%, p<0.001) and Group 8 (66.9%, p<0.001). Logistic regression analysis revealed no significant difference in the odds of receiving a C-section in private versus other settings after adjusting for Robson criteria (OR: 1.21; 95% CI: 0.92, 1.60). A prior C-section significantly increased the likelihood of another (OR: 2.38; CI 95%: 2.01, 2.81). The analysis also indicated C-sections were significantly tied to deaths from hypertensive disorders (RRR = 1.25, 95% CI [1.12, 1.40]). In terms of indications, 6.3% of C-sections were performed under inadequate indications, while the indication was not identifiable in 33.1% of all C-sections. CONCLUSIONS: This study highlights a significant overuse of C-sections among maternal deaths in Mexico (2010-2014), revealed through the Robson classification and ana analysis of the reported indications for the procedure. It underscores the need for revising clinical decision-making to promote evidence-based guidelines and favor vaginal deliveries when possible. High C-section rates, especially noted disparities between private and public sectors, suggest economic and non-clinical factors may be at play. The importance of accurate data systems and further research with control groups to understand C-section practices' impact on maternal health is emphasized.

Gestational Diabetes Mellitus Subtypes Classified by Oral Glucose Tolerance Test and Maternal and Perinatal Outcomes: Results of a Mexican Multicenter Prospective Cohort Study "Cuido Mi Embarazo".

Purpose: This study explores the impact of gestational diabetes mellitus (GDM) subtypes classified by oral glucose tolerance test (OGTT) values on maternal and perinatal outcomes. Patients and Methods: This multicenter prospective cohort study (May 2019-December 2022) included participants from the Mexican multicenter cohort study Cuido mi Embarazo (CME). Women were classified into four groups per 75-g 2-h OGTT: 1) normal glucose tolerance (normal OGTT), 2) GDM-Sensitivity (isolated abnormal fasting or abnormal fasting in combination with 1-h or 2-h abnormal results), 3) GDM-Secretion (isolated abnormal values at 1-h or 2-h or their combination), and 4) GDM-Mixed (three abnormal values). Cesarean delivery, neonates large for gestational age (LGA), and pre-term birth rates were among the outcomes compared. Between-group comparisons were analyzed using either the t-test, chi-square test, or Fisher's exact test. Results: Of 2,056 Mexican pregnant women in the CME cohort, 294 (14.3%) had GDM; 53.7%, 34.4%, and 11.9% were classified as GDM-Sensitivity, GDM-Secretion, and GDM-Mixed subtypes, respectively. Women with GDM were older (p = 0.0001) and more often multiparous (p = 0.119) vs without GDM. Cesarean delivery (63.3%; p = 0.02) and neonate LGA (10.7%; p = 0.078) were higher in the GDM-Mixed group than the overall GDM group (55.6% and 8.4%, respectively). Pre-term birth was more common in the GDM-Sensitivity group than in the overall GDM group (10.2% vs 8.5%, respectively; p=0.022). At 6 months postpartum, prediabetes was more frequent in the GDM-Sensitivity group than in the overall GDM group (31.6% vs 25.5%). Type 2 diabetes was more common in the GDM-Mixed group than in the overall GDM group (10.0% vs 3.3%). Conclusion: GDM subtypes effectively stratified maternal and perinatal risks. GDM-Mixed subtype increased the risk of cesarean delivery, LGA, and type 2 diabetes postpartum. GDM subtypes may help personalize clinical interventions and optimize maternal and perinatal outcomes.

Pathways of depressive symptoms to self-harm and suicide warning signs during COVID-19 pandemic: The role of anxiety and related distress, dysfunction and somatization.

BACKGROUND: Early in the COVID-19 pandemic, concern about widespread waves of depression and suicide emerged worldwide. Clarity on the relationship between mental health symptoms and warning signs of current self-harm or suicide thoughts and behaviors (ShSTB) in Mexican adults could be useful for designing effective public health policies and preventive strategies during health emergencies. OBJECTIVE: The present study uses a path model to explore the relationship between depressive symptoms, anxiety, and related distress, dysfunction, and somatization with ShSTB warning signs in Mexican adults during the COVID-19 pandemic. The study also describes the relative risks of these mental health variables for men and women, and for those who were seeking psychological care versus those who were not. METHOD: The study was conducted with 18,449 Mexicans (M = 33 years, SD = 11.00, range = 18-59), including 12,188 women (66.10 %) and 2706 (14.67 %) who were seeking psychological care. A web-based application included two multidimensional screening scales to evaluate depression, anxiety and somatic symptoms and related distress/dysfunction, as well as past and current ShSTB. Based on the participants' sex, the entire sample was randomly divided into two sub-samples to compare and replicate the Confirmatory Factor Analysis (CFA) results, getting evidence of the multidimensionality of the scales. With the two sub-samples, we also tested the nested models from a structural equation model (SEM) to suggest a relationship between mental health and self-harm/suicide variables. FINDINGS: Our findings suggest that 31 % of participants were at risk for depression, 42.30 % for anxiety, 38.30 % for Marked Distress, Dysfunction and Somatization (MDDS), 33.30 % for at least one ShSTB, and 4.20 % for Previous Self Harm Thoughts and Behaviors (PShTB) during the COVID-19 pandemic. A greater percentage of women and participants seeking psychological care showed high levels of mental health symptoms, PShTB, MDDS, and ShSTB. The path model suggested a direct influence of PShTB and MDDS on ShSTB. Depression symptoms lead to ShSTB in three possible ways: through PShTB, PShTB affecting MDDS, and generalized anxiety affecting MDDS. DISCUSSION AND OUTLOOK: The pandemic was accompanied by a high prevalence of depression-anxiety, marked distress, dysfunction and somatization and self-harm/suicide thoughts and behaviors. The findings of this study suggest evidence over the well-known association between depression and anxiety, and between depression, previous self-harm thoughts and behaviors, and self-harm/suicide. The evidence suggests to distinguish when participants were suffering from MDDS and anxious depression from those only suffering from depression. The methodological conditions of the study suggest a comprehensive model of ShSTB prevention. Findings also suggest the need to care for Mexicans with depressive symptoms and PShTB as well as those suffering from anxious depression with MDDS to prevent suicide, by implementing effective public health policies and preventive strategies to reduce the mental health gap during health emergencies. LIMITATIONS: This research was a cross-sectional study, suggesting that future analyses should focus on the evaluation of its consistency with confirmed diagnoses of mental health disorders, self-harm/suicide risks, and the effect of remote psychological help to address these problems.

Aspectos farmacológicos y adherencia al tratamiento antirretroviral en pacientes VIH

Introducción: La adherencia al tratamiento farmacológico favorece la supresión viral y reduce la resistencia a la terapia antirretroviral de gran actividad a largo plazo. Objetivo: Determinar la relación entre los aspectos farmacológicos y la adherencia al tratamiento antirretroviral de una IPS colombiana. Metodología: Estudio analítico transversal en pacientes con diagnóstico de VIH en tratamiento antirretroviral entre los años 2012 a 2020. Se utilizó un modelo de regresión logística binaria múltiple con fines explicativos. Resultados: Se analizaron 9835 pacientes donde la proporción de adherencia fue de 90 % y en el modelo ajustado se evaluó su relación con los antecedentes de no adherencia (ORa:0,52 IC95 °/o:0,40-0,66), grupo farmacológico (2 ITIAN + 1 IP u otro) (ORa:1,22 IC95 %:0,99-1,76), dos tomas al día (ORa:1,02 IC95 %:0,74-1,40), unidades al día (≥ 3) (ORa:0,69 IC95 %:0,47-1,02), reacciones adversas a medicamentos (ORa:0,56 IC95 °%:0,40-0,78), polimedicación (ORa:1,36 IC95 %:1,00-1,85), tiempo TAR (1 a 2 años) (ORa:1,63 IC95 %:1,27-2,09),tiempo TAR (6 a 12 meses) (ORa:1,66 IC95 %:1,27-2,18), tiempo TAR (<6 meses) (ORa:1,36 IC95 %:1,03-1,78), tasa de reclamación de los medicamentos (ORa:0,42 IC95 %:0,32-0,55) y antecedentes PRUM (ORa:0,11 IC95 %:0,09-0,14). Discusión: La proporción de adherencia obtenida es superior a lo descrito para otros países (entre 60-77 %); sin embargo se encuentra que los hallazgos correspondientes al efecto de las variables farmacológicas analizadas son acordes a lo descrito en estudios previos en el tema Conclusión: Los antecedentes de no adherencia, reacciones adversas, tasa de reclamación de los medicamentos y antecedentes de problemas relacionados con el uso de medicamentos son aspectos que reducen la probabilidad de adherencia; mientras que el mayor tiempo de uso del tratamiento aumenta la misma.

Introduction: Adherence to drug treatment promotes viral suppression and reduces long-term resistance to highly active antiretroviral therapy (HAART). Objective: To determine the relationship between the pharmacological aspects and adherence to antiretroviral treatment in a Colombian IPS. Methodology: Cross-sectional analytical study in patients with HIV on antiretroviral treatment between 2012 and 2020. A multiple binary logistic regression model was used for explanatory purposes. Results: A total of 9,835 patients were analyzed where the proportion of adherence was 90 % and in the adjusted model its relationship with history of non-adherence was assessed (ORa: 0,52 95 % CI: 0,40-0,66), pharmacological group (2 NRTI + 1 PI or other) (ORa: 1,22 95 % CI: 0,99-1,76), two doses per day (ORa: 1,02 95 % CI: 0,74-1,40), units per day (≥ 3 ) (ORa: 0,69 95 % CI: 0,47-1,02), adverse drug reactions (ORa: 0,56 95 % CI: 0,40-0,78), polypharmacy (ORa: 1,36 95 % CI : 1,00-1,85), ART time (1 to 2 years) (ORa: 1,63 95 % CI: 1,27-2,09), ART time (6 to 12 months) (ORa: 1,66 95 % CI: 1,27-2,18), ART time (<6 months) (ORa: 1,36 95 % CI: 1,03-1,78), inconsistency in the claim (ORa: 0,42 95 % CI: 0,32-0,55) and PRUM history (ORa: 0,11 95 % CI: 0,09-0,14). Discussion: The proportion of adherence obtained is higher than that described for other countries (between 60-77 %); however, the findings corresponding to the effect of the pharmacological variables analysed are in line with those described in previous studies on the subject. Conclusion: The history of non-adherence, adverse reactions, inconsistencies in the claim fill history and problems related to the use of medications are aspects that reduce the probability of adherence. While the longer time of use of the treatment increases adherence.

Trends of Antihypertensive, Antidiabetic, and Nonsteroidal Anti-Inflammatory Drugs Use among the Health Workers Cohort Study, Mexico 2004 to 2018.

Background: Hypertension and type 2 diabetes (T2D) are the most prevalent noncommunicable diseases in Mexico and worldwide. According to international practice management guidelines, the principal chronic management therapy is daily oral medication. Aim: We aim to describe the trends of antihypertensive, antidiabetic, and nonsteroidal anti-inflammatory (NSAID) drugs use among the Mexican adult population from 2004-2018. Methods: We analyzed data from the Health Workers Cohort Study (HWCS) for males and females aged >18 years. We calculated the prevalence of chronic diseases and utilization for every kind of antihypertensive, antidiabetic, and NSAIDs (measured by self-reported utilization) at baseline and two follow-ups (2004, 2010, and 2017). Trends were analyzed using Fisher's exact test. Results: Hypertension prevalence increased from 19.8 to 30.3%, higher than T2D prevalence from 7.0 to 12.8% through fourteen years of follow-up. Like the self-reported dual therapy, the proportion of patients using beta-blockers and angiotensin II receptor blockers increased. Regarding T2D, the prevalence of metformin utilization increased to 83.9%. The utilization of common NSAIDs, mainly for muscular pain, remained around 13 to 16%. Conclusions: Our findings showed a changing prevalence of drug utilization for hypertension and T2D between 2004 and 2018 and consistent use of NSAIDs in the adult Mexican population.

Interpersonal and Intimate Violence in Mexican Youth: Drug Use, Depression, Anxiety, and Stress during the COVID-19 Pandemic.

The COVID-19 pandemic may have increased interpersonal and intimate violence, harmful use of alcohol and other drugs (AODs), and mental health problems. This study uses a valid path model to describe relationships between these conditions of young Mexicans during the second year of the pandemic. A sample of 7420 Mexicans ages 18 to 24-two-thirds of whom are women-completed the Life Events Checklist, the Alcohol, Smoking, and Substance Involvement Screening Test, the Major Depressive Episode Checklist, the Generalized Anxiety Scale, and the Post-traumatic Stress Disorder (PTSD) Checklist. Young Mexicans reported higher rates of victimization and perpetration of interpersonal and intimate violence and mental health symptomatology than those noted pre- and in the first year of the pandemic. The harmful use of AOD rates were similar to those reported by adolescents before. The findings suggest asymmetric victimization and perpetration of intimate violence by gender (with women at a higher risk). More men than women have engaged in the harmful use of AODs (except for sedatives, which more women abuse). More women than men were at risk of all mental health conditions. The path model indicates that being a victim of intimate violence predicts the harmful use of tobacco, alcohol, cocaine, and sedatives, depression, anxiety, and specific PTSD symptoms (such as re-experimentation and avoidance symptoms). Being a victim of interpersonal violence resulted in severe PTSD symptoms (including avoidance, negative alterations in cognition-mood, and hyperarousal signs). The harmful use of sedatives predicted depressive symptoms. Men's victimizing intimate violence model contrasted with that of women, which included being the victim of interpersonal violence and severe PTSD symptoms. The high school youth model had three paths: victimizing intimate violence, victimizing interpersonal abuse, and sedative use, which predicted depression. Our findings could serve as the basis for future studies exploring the mechanisms that predict violence to develop cost-effective preventive programs and public policies and to address mental health conditions during community emergencies.

Online Training for Primary Care Staff: Skills development on the Mental Health Gap Action Programme (mhGAP) Intervention Guide / Entrenamiento en línea para personal de atención primaria: Desarrollo de habilidades sobre la Guía de Intervención para Superar las Brechas en Salud Mental (mhGAP)

Abstract Developing effective learning strategies to strengthen mental health professionals' capacities and deliver evidence-based interventions in their communities is urgent. We developed and evaluated an online training program for the Intervention Guide for Mental, Neurological and Substance Use Disorders in Non-specialized Health Settings. Nine hundred and seventy-five health professionals in Mexico were enrolled in the training program, during the period of social distancing brought about by the COVID-19 pandemic. Participants completed a pre-post online evaluation strategy including Knowledge screening, assessment of Learning Activities, and performance in Programmed-Simulated cases to evaluate knowledge and skills for the assessment, management, and follow-up of Mental, Neurological and Substance Use Disorders. We found that participants improved their knowledge and skills from training on the mhGAP online course. Notably we observed these positive results regardless of sex, profession, institution, or social vulnerability rating of participants, suggesting that this is a relevant training program for primary care staff. These results contribute to the Mental Health Gap Action Programme and advance the use of online teaching and evaluation technologies in this field.

Resumen El desarrollo de estrategias efectivas de aprendizaje para fortalecer las competencias de los profesionales de la salud mental y brindar intervenciones basadas en evidencia en sus comunidades es necesario. El objetivo del presente trabajo fue desarrollar y evaluar un programa de entrenamiento en línea para la Guía de Intervención en Trastornos Mentales, Neurológicos y por Uso de Sustancias en nivel de atención de salud no especializada. Participaron 975 profesionales de la salud mexicanos durante el período de distanciamiento social provocado por la pandemia de COVID-19. Los participantes completaron una evaluación previa y posterior que incluyó un cuestionario de conocimientos, actividades de aprendizaje y la ejecución en casos simulados programados para evaluar el conocimiento y las habilidades para la evaluación, el manejo y el seguimiento de los trastornos mentales, neurológicos y por uso de sustancias. Los resultados indicaron que los participantes mejoraron sus conocimientos y habilidades en función de su participación en el curso en línea, independientemente del sexo, la profesión, la institución o la vulnerabilidad social de los participantes, sugiriendo que se trata de un programa de formación relevante para el personal de atención primaria. Los resultados contribuyen al Programa de Acción para la Brecha de Salud Mental y promueven el uso de tecnologías de evaluación y enseñanza en línea en este campo.

Effect of a nitrogenous nanocomposite on leaching and N content in lettuce in soil columns.

Nanofertilizers could promote nutrient efficiency with slow release compared to conventional fertilizers (CF). Most of the applied nitrogen is lost on the soil by leaching, due to the rapid release behavior of CF. Clays can function as a nanosized porous structure to retain and slowly release nutrients. The objective of this study was to evaluate a nitrogenous nanocomposite (NCN) and its effect on leaching and N content of lettuce (Lactuca sativa). The treatments applied were: 100% conventional fertilizer, 100% nitrogenous nanocomposite and the mixture in percentage of CF/NCN 25/75, 50/50, 75/25 and 25/0, 50/0 75/0% on columns of soil with lettuce for 45 days. Leachates at the end of the cycle increased in treatments with NCN. Treatments with NCN have higher N content in the leaf. In regard to biomass growth, leaf area, leaf N, drained variables, electrical conductivity and NO3- content, it was possible to show that the doses of 50 and 75% of NCN match the characteristics of the crop compared to the control, which allows us to use lower doses than those recommended with CFs.

The moral deliberation pathway in veterinary practice: a qualitative study.

BACKGROUND: Veterinarians may face various ethical decisions and potential moral conflicts in clinical practice. The ethical decision-making process often leads to a satisfying resolution. However, when such a process is accompanied by a perceived inability to act according to a person's values, it can lead to psychological distress that characterises moral distress. Theoretical models in professions such as nursing attempt to explain the evolution of moral conflict into moral distress. In veterinary professionals, a model has been proposed to explain this pathway (the moral deliberation pathway). However, empirical data are still lacking on whether veterinary clinicians experience a moral deliberation pathway as hypothesised. METHODS: Using thematic analysis, this qualitative study investigates veterinary clinicians' experiences with moral distress and aims to explain the moral deliberation pathway in these veterinarians. RESULTS: The results suggest that veterinarians' experiences with moral distress follow a deliberation process that can be explained by the proposed moral deliberation pathway. Experiencing a moral conflict leads to moral stress, then either to moral distress or resolution into moral comfort. LIMITATIONS: Self-selection of participants and possible recollection bias may have biased the findings. CONCLUSIONS: The empirical data provided by this study can inform future research and intervention strategies to identify, measure and manage moral distress in the veterinary context.

Sex differences in the influence of type 2 diabetes (T2D)-related genes, parental history of T2D, and obesity on T2D development: a case-control study.

BACKGROUND: This study investigated the effect of sex and age at type 2 diabetes (T2D) diagnosis on the influence of T2D-related genes, parental history of T2D, and obesity on T2D development. METHODS: In this case-control study, 1012 T2D cases and 1008 healthy subjects were selected from the Diabetes in Mexico Study database. Participants were stratified by sex and age at T2D diagnosis (early, ≤ 45 years; late, ≥ 46 years). Sixty-nine T2D-associated single nucleotide polymorphisms were explored and the percentage contribution (R2) of T2D-related genes, parental history of T2D, and obesity (body mass index [BMI] and waist-hip ratio [WHR]) on T2D development was calculated using univariate and multivariate logistic regression models. RESULTS: T2D-related genes influenced T2D development most in males who were diagnosed early (R2 = 23.5%; females, R2 = 13.5%; males and females diagnosed late, R2 = 11.9% and R2 = 7.3%, respectively). With an early diagnosis, insulin production-related genes were more influential in males (76.0% of R2) while peripheral insulin resistance-associated genes were more influential in females (52.3% of R2). With a late diagnosis, insulin production-related genes from chromosome region 11p15.5 notably influenced males while peripheral insulin resistance and genes associated with inflammation and other processes notably influenced females. Influence of parental history was higher among those diagnosed early (males, 19.9%; females, 17.5%) versus late (males, 6.4%; females, 5,3%). Unilateral maternal T2D history was more influential than paternal T2D history. BMI influenced T2D development for all, while WHR exclusively influenced males. CONCLUSIONS: The influence of T2D-related genes, maternal T2D history, and fat distribution on T2D development was greater in males than females.

The prevalence of diabetes worldwide is slightly higher in men than in women, particularly in those aged 50 or younger (16.5% for men versus 13.5% for women). This suggests that hormonal differences could be critical in early development of Type 2 diabetes. Some known factors previously associated with T2D, such as genes, parental history of diabetes and obesity, could have a differential influence between both sexes for the development of T2D. We compared these factors between 1008 healthy individual and 1012 TD2 patients. In this comparison, we calculated the percentage of variability of the disease explained by each factor. As expected, the most noticeable differences between men and women were observed in T2D diagnoses before age 46. Genes had a greater effect in men than in women (23.5% vs. 13.5%). While genes involved in insulin production have a greater influence on men, genes involved in peripheric insulin resistance have a greater influence on women. The overall parental history of T2D influences similarly in males (19.9%) and females (17.5%), however, the unilateral genetic influence of the mother was much greater in males than in females. The influence of global and abdominal obesity played a greater role in men than in women. In T2D diagnoses after age of 45, the influence of genes and parental history of diabetes decreases markedly, and the relative influence of global obesity augments. However, while genes linked to insulin resistance and inflammation predominate in females, genes linked to insulin secretion predominate in males.

Evaluation of effective coverage for type 2 diabetes in Mexican primary care health information systems: a retrospective registry analysis.

BACKGROUND: As the leading cause of disability and the fourth leading cause of premature death in Mexico, type 2 diabetes (T2D) represents a serious public health concern. The incidence of diabetes has increased dramatically in recent years, and data from the Mexican National Health and Nutrition Survey (ENSANUT) indicate that many people remain undiagnosed. Persistent socioeconomic health care barriers exacerbate this situation, as T2D morbidity and mortality are worsened in vulnerable populations, such as those without social security. We evaluated the performance of public primary health centers (PHCs) in T2D medical attention through the measure of effective coverage (EC, a combined measure of health care need, use, and quality) at national, state, health jurisdiction, and municipality levels. METHODS: This retrospective analysis used blinded data recorded during 2017 in the Non-communicable Diseases National Information System (SIC) and T2D prevalence reported in 2018 ENSANUT to evaluate the EC achieved. We included individuals ≥ 20 years old without social security who did not declare the use of private health care services. Each EC component (need, use, and quality) was estimated based on the Shengelia adapted framework. The Kruskal-Wallis test was applied to evaluate the associations among EC quintiles and demographics. RESULTS: In 2017, 26.5 million individuals, aged ≥ 20 years, without social security, and without the use of private health care services, were under the care of 12,086 PHCs. The national prevalence of T2D was 10.3%, equivalent to 2.6 million people living with T2D in need of primary health care. Large contrasts were seen among EC components between and within Mexican states. We found that only 37.1% of the above individuals received health services at PHCs and of them, 25.8% improved their metabolic condition. The national EC was 9.3%, and the range (by health jurisdiction) was 0.2%-38.6%, representing a large geographic disparity in EC. We found an evident disconnect among need, utilization, and quality rates across the country. CONCLUSIONS: Expansion and improvement of EC are urgently needed to address the growing number of people living with T2D in Mexico, particularly in states with vulnerable populations.

Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms.

INTRODUCTION: Gestational diabetes mellitus (GDM) is underdiagnosed in Mexico. Early GDM risk stratification through prediction modeling is expected to improve preventative care. We developed a GDM risk assessment model that integrates both genetic and clinical variables. RESEARCH DESIGN AND METHODS: Data from pregnant Mexican women enrolled in the 'Cuido mi Embarazo' (CME) cohort were used for development (107 cases, 469 controls) and data from the 'Mónica Pretelini Sáenz' Maternal Perinatal Hospital (HMPMPS) cohort were used for external validation (32 cases, 199 controls). A 2-hour oral glucose tolerance test (OGTT) with 75 g glucose performed at 24-28 gestational weeks was used to diagnose GDM. A total of 114 single-nucleotide polymorphisms (SNPs) with reported predictive power were selected for evaluation. Blood samples collected during the OGTT were used for SNP analysis. The CME cohort was randomly divided into training (70% of the cohort) and testing datasets (30% of the cohort). The training dataset was divided into 10 groups, 9 to build the predictive model and 1 for validation. The model was further validated using the testing dataset and the HMPMPS cohort. RESULTS: Nineteen attributes (14 SNPs and 5 clinical variables) were significantly associated with the outcome; 11 SNPs and 4 clinical variables were included in the GDM prediction regression model and applied to the training dataset. The algorithm was highly predictive, with an area under the curve (AUC) of 0.7507, 79% sensitivity, and 71% specificity and adequately powered to discriminate between cases and controls. On further validation, the training dataset and HMPMPS cohort had AUCs of 0.8256 and 0.8001, respectively. CONCLUSIONS: We developed a predictive model using both genetic and clinical factors to identify Mexican women at risk of developing GDM. These findings may contribute to a greater understanding of metabolic functions that underlie elevated GDM risk and support personalized patient recommendations.

MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women.

Given the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study 'Cuido mi embarazo'. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of developing GDM. This AI-based model will be applied throughout Mexico to improve the timing and quality of GDM interventions. Given the ease of obtaining the model variables, this model is expected to be clinically strategic, allowing prioritization of preventative treatment and promising a paradigm shift in prevention and primary healthcare during pregnancy. This AI model uses variables that are easily collected to identify pregnant women at risk of developing GDM with a high level of accuracy and precision.

Mental, neurological and substance use disorders among the Latino migrant population in the United States who visited the Health Windows and Mobile Health Units in 2021.

Background: Mental health is defined by the World Health Organization as a state of wellbeing in which people are aware of their own abilities to cope with the normal stresses of life, work productively and fruitfully, and contribute to their community. Among the minority groups that may be vulnerable to experiencing greater risks for their physical and mental health and full development is the migrant population. The mobile population's migration experience, from their place of origin to destination translates into psychosocial problems and clearly stressful conditions which could be resolved using certain coping strategies. Accordingly, numerous epidemiological studies have found differences in the prevalence of mental health problems between migrants and native-born residents of destination countries, as well as between migrants and their non-migrant co-nationals. Purpose: To describe sociodemographic characteristics of the Latino migrant population in the United States who visited the Health Windows (HW) and Mobile Health Units (MHU) in 2021, who may have been at risk for mental, neurological or substance use disorders and agreed to a screening for signs and symptoms of mental health conditions. Method: Users of the HW and MHU were offered preventive health services and completed a mental health screening. These variables were registered in SICRESAL. If their results showed signs and symptoms of mental health conditions, they were screened by credentialed professionals from the Psychology Faculty of the National Autonomous University of Mexico. Screened individuals received a diagnosis and specialized care remotely and/or online with the MHU and HW network partners. To analyze sociodemographic variables corresponding to neurological or substance induced mental illness among the Latino migrant population in the United States who visited the Ventanillas de Salud (VDS)/Health Windows (HW), and Unidades Móviles de Salud (UMS)/Mobile Health Units (MHU), during 2021; contingency tables were created showing percentages and chi square with a significant p < 0.05. Findings: During 2021 HW and MHU completed a total of 794 mental health screenings of which 84% were completed at HW. Further, 59% were women with an average age of 43, ranging from 7 to 86 years of age. Twenty percent 20% of the population who voluntarily agreed to screening yielded a positive result for some type of mental health symptom or problem. This percentage (37%) was greater among those who consulted MHU. With respect to age, results showed that youth were at greatest risk for mental health problems. Among the screened population, the independent variables, type of Health Window attended, gender, age group, and place of origin are related to the existence of some type of mental health symptom or problem yielding a significance level of <0.05 for depression and anxiety symptoms. Discussion and prospects: In this study, as in others, the migrant population that visited the HW and UMS in 2021 reported a greater risk of mental health problems, with symptoms related to depression and anxiety among the socio-demographic variables of gender, age group, and place of origin. Thus, these symptoms relate to being a female aged between 18 and 38 and originating from Mexico. Finally, the possibility of screening the migrant population for signs and symptoms of mental health conditions that attended the Health Windows or Mobile Health Units during 2021, made it possible to refer them to psychology or psychiatry services and improve the quality of life of those who accessed the services and, consequently, that of their families and communities. Limitations: The main limitation is associated with the information source since we worked with secondary data and relied on the information provided by those who attended both the HW and the MHU.

Burden, Incidence, Mortality and Lethality of Maternal Disorders in Mexico 1990-2019: An Analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Estimates of the sub-national distribution of maternal disorders in Mexico beyond Maternal Mortality Ratios are scarce. Characterizing the sub-national variation of maternal disorders may make it possible to focus more on interventions and thereby reduce their occurrence in a more meaningful and sustained manner. AIM: To analyze and describe the sub-national distribution, magnitude, trends and changes in the contribution of maternal causes to women's loss of health in Mexico from 1990-2019. METHODS: Using estimates from the Global Burden of Disease (GBD) 2019 study, we describe the distribution and trends of maternal mortality ratio (MMR), mortality rate, case-fatality rate and disability-adjusted life years (DALYs) due to maternal causes, at both national and state levels. RESULTS: Between 1990 and 2019, DALYs attributable to maternal causes had decreased 59.5%, mortality 63.8%, and incidence 46.5%. However, Maternal Mortality Ratio only decreased by 33%. The case-fatality rate of maternal disorders decreased by 50% overall; although for obstructed labor and uterine rupture, it remained unchanged. Lethality showed great variation between states, with a 3 fold difference between the maximum and minimum values. CONCLUSIONS: Although mortality and incidence of maternal causes in Mexico have greatly decreased in the last 30 years, these changes mostly reflect declines in fertility. The decrease seen in case-fatality rates is driven by decreases in causes such as hypertension and hemorrhage, though for others it remained constant. Efforts should be directed at improving access to, and management of, locally frequent maternal emergencies, formulating tailor-made regional interventions for maternal health.

AMBAR: A midwifery-led training program to improve obstetric and neonatal practices among low-risk births in Mexico.

BACKGROUND: Birth care in Mexican health institutions is highly medicalized and of poor quality because of the prevalence of outdated and dangerous practices. AMBAR-a training program for health care providers on the use of evidence-based midwifery practices-was implemented during 2016-2018 and evaluated to assess the impact of training on key practices. METHODS: For this mixed-methods study, we evaluated the effects of a training program implemented in three public hospital networks in Mexico. Qualitative data were collected and integrated into the program before evaluating the effects of the intervention on 10 birth practices, 5 beneficial and 5 potentially harmful. Quantitative data on birth practices and covariates were collected at six time points (baseline and 5 follow-ups) in a final sample of 330 direct observations. Effect estimates were obtained by longitudinal logistic and Poisson regression models, adjusted for confounding variables. RESULTS: AMBAR had a significant effect on 4 of the 10 birth practices that were evaluated. Beneficial practices, such as skin-to-skin contact (P = 0.003) and delayed cord clamping (P = 0.039), increased significantly. Harmful when overused birth practices, such as vaginal examinations (P = 0.001), and cesarean birth (P < 0.001) decreased significantly. CONCLUSIONS: Midwifery-based training programs for health care providers can have an impact on the quality of care of birthing people and newborns, increasing the use of evidence-based practices and decreasing frequently overused practices.

The burden of disease, injuries, and risk factors in Mexico: 1990-2021 update.

BACKGROUND: For thirty years, Mexico has studied the burden of disease in order to inform health decisions. OBJECTIVE: To analyze the burden of disease, injuries, and risk factors in Mexico between 1990 and 2021. MATERIAL AND METHODS: Estimates from the Global Burden of Disease 2021 study were used to analyze mortality, years of life lost due to premature mortality, years lived with disability and disability-adjusted life years, as well as the burden attributable to risk factors by sex, age and state of the country. RESULTS: Infant mortality decreased by 39.4% from 1990 to 2000 and by 49.0% from 2000 to 2013. At the national level, mortality decreased by 27.5% between 1990 and 2019, but increased in 2020 and 2021 across all states, especially in adults aged from 35 to 64 years due to the COVID-19 pandemic, which contributed with 24.3% of deaths in 2021. Significant differences in mortality were observed according to age and sex. The burden attributable to metabolic risk factors did increase, while alcohol and tobacco consumption decreased. Access to drinking water and sanitation showed improvements. CONCLUSIONS: Assessing the burden of disease is crucial in order to design effective strategies to address current health needs and future healthcare challenges.

ANTECEDENTES: Desde hace treinta años, México ha estudiado la carga de la enfermedad para sustentar decisiones en salud. OBJETIVO: Analizar la carga de enfermedad, lesiones y factores de riesgo en México entre 1990 y 2021. MATERIAL Y MÉTODOS: Se utilizaron las estimaciones del Global Burden of Disease 2021 para analizar la mortalidad, los años de vida perdidos por muerte prematura, los años vividos con discapacidad y los años de vida saludable perdidos, así como la carga atribuible a los factores de riesgos por sexo, edad y entidad federativa. RESULTADOS: La mortalidad infantil disminuyó 39.4 % de 1990 a 2000, y 49.0 % de 2000 a 2019. En el ámbito nacional, la mortalidad decreció 27.5 % entre 1990 y 2019, pero ascendió en 2020 y 2021 en todos los estados, especialmente en adultos de 35 a 64 años, debido a la pandemia de COVID-19, que contribuyó con 24.3 % de las defunciones en 2019. Se observaron diferencias significativas en la mortalidad según la edad y el sexo. La carga atribuible a los factores de riesgo metabólicos se incrementó, mientras que la atribuible el consumo de alcohol y tabaco disminuyó. El acceso al agua potable y saneamiento mejoró. CONCLUSIONES: Evaluar la carga de enfermedad es crucial para diseñar estrategias eficaces para abordar las necesidades actuales y los futuros desafíos en salud.

The burden attributable to risk factors in Mexico, 1990-2021. Summary of the findings from the Global Burden of Disease 2021 study.

BACKGROUND: Over the past decades, Mexico's health landscape has shifted from infectious to non-communicable diseases and violence, mirroring lifestyle, urbanization, and developmental changes. OBJECTIVE: To describe the impact of risk factors on health in Mexico from 1990 to 2021. MATERIAL AND METHODS: Using the Global Burden of Diseases, Injuries, and Risk Factors Study estimates, we describe risk factor-related mortality and disability adjusted life years (DALYs) in Mexico (1990-2021) by age, sex, and state of the country. RESULTS: In 2021, risk factors led to 14.9 (12.9-16.7) million DALYs, which accounted for 32.4% of Mexico's burden. Metabolic risks, with 19.8% (17.0-21.9%), were the main contributors. From 1990 to 2021, the age-standardized all-cause mortality rate associated with metabolic risks increased by 6.5%, while behavioral and environmental risks decreased by more than 50%, with marked variations between states. The predominant risk factors shifted from malnutrition and unsafe water and sanitation in 1990 to high glucose and body mass index in 2021. Malnutrition-related risks have the highest impact on health loss in children younger than 5 years. CONCLUSION: Mexico faces a dual health challenge: childhood malnutrition persists, and adult metabolic risks are on the rise, particularly in less developed states, with targeted interventions for traditional and emerging health threats being required.

ANTECEDENTES: Durante décadas, México ha transitado de las enfermedades infecciosas a las crónicas y la violencia, debido a cambios en los estilos de vida y la urbanización. OBJETIVO: Describir el impacto en salud de los factores de riesgo en México entre 1990 y 2021. MATERIAL Y MÉTODOS: Se utilizaron las estimaciones del Global Burden of Disease para analizar la mortalidad y años de vida saludable (AVISA) perdidos atribuibles a factores de riesgo, estratificados por edad, sexo y estado. RESULTADOS: Los factores de riesgo representaron 14.9 millones de AVISA en 2021, 32.4 % del total nacional, con predominio de los riesgos metabólicos (19.8 %). La mortalidad estandarizada por edad debida a estos riesgos se incrementó 6.5 % de 1990 a 2021 y los riesgos conductuales y ambientales se redujeron en más de 50 %. Los factores predominantes cambiaron de desnutrición, problemas de acceso al agua potable y saneamiento en 1990 a altos niveles de glucosa y obesidad en 2021; la desnutrición fue el mayor riesgo en los niños menores de cinco años. CONCLUSIONES: México afronta desafíos sanitarios dobles, la desnutrición infantil continúa y los riesgos metabólicos en adultos se incrementan, sobre todo en los estados menos desarrollados, por lo que se requieren intervenciones específicas para amenazas nuevas y existentes.

Type 2 diabetes epidemic in Mexico. Burden of disease 1990-2021 analysis and implications for public policies.

BACKGROUND: Mexico faces a challenge due to the burden imposed by type 2 diabetes (T2D). OBJECTIVE: To analyze T2D epidemiology and burden in Mexico from 1990 to 2021, at the national and state levels. MATERIAL AND METHODS: Estimates from the Global Burden of Disease 2021 study were used to evaluate the prevalence, incidence, mortality, fatal and non-fatal burden. Metabolic, environmental and behavioral factors were considered. Comparative analyses were carried out by gender, age and state of the country. RESULTS: The prevalence of T2D increased by 25%. The incidence increased in those younger than 45 years, with a mortality decrease being found among women. The rate of disability-adjusted life years (DALY) showed an increase in all states, from 45.2% in Nuevo León to 237.6% in Tabasco. In 2021, T2D caused the loss of 3.1 million DALYs, which accounted for 6.6% of total burden in Mexico, out of which 64% was due to premature deaths. Diabetic neuropathy affected 47%, and there were 270,000 cases of visual impairment; 66.3% of the burden was attributed to obesity. CONCLUSIONS: Comprehensive policies are urgently needed in order to reduce the burden of T2D in Mexico, through standardized guidelines, evidence-based strategies and technological resources that improve medical care accessibility and efficiency.

ANTECEDENTES: México enfrenta un desafío por la carga que representa la diabetes tipo 2 (DT2). OBJETIVO: Analizar la epidemiología y la carga de DT2 en México de 1990 a 2021 en los ámbitos nacional y estatal. MATERIAL Y MÉTODOS: Se empleó el Global Burden of Disease 2021 para evaluar prevalencia, incidencia, mortalidad, carga letal y no letal. Se consideraron factores metabólicos, ambientales y de comportamiento. Se realizó análisis comparativo por sexo, edad y entidad federativa. RESULTADOS: Se incrementó la prevalencia de DT2 en 25 % y la incidencia en menores de 45 años; la mortalidad en mujeres disminuyó. La tasa de años de vida saludable (AVISA) perdidos se incrementó en todos los estados, entre 45.2 % en Nuevo León y 237.6 % en Tabasco. En 2021, la DT2 ocasionó 3.1 millones de AVISA perdidos, que representaron 6.6 % de la carga total en México, de la cual 64 % se atribuyó a muertes prematuras. La neuropatía diabética afectó a 47 % y las afecciones visuales a 270 000 personas; 66.3 % de la carga se atribuyó a obesidad. CONCLUSIONES: Urgen políticas integrales para reducir la carga de DT2 en México, mediante pautas estandarizadas, estrategias basadas en evidencia y recursos tecnológicos que mejoren la accesibilidad y eficiencia de la atención médica.

COVID-19 impact on life expectancy in Mexico. An analysis based on the Global Burden of Disease 2021 study.

BACKGROUND: Between 2020 and 2021, Mexico documented 2.21 million fatalities, out of which 25.3% were attributable to SARS-COV-2 infection. OBJECTIVES: To evaluate COVID-19 mortality during 2020-2021, determine its impact on national- and state-level life expectancy at birth, and in a group of selected countries of the region, as well as to analyze it according to sociodemographic profiles. MATERIAL AND METHODS: Data from the Global Burden of Disease 2021 study were used to report mortality, the impact on life expectancy and underlying causes between 2019 and 2021. These data were evaluated from the perspective of response to the pandemic and according to the sociodemographic structure based on a quadratic regression model. RESULTS: Between 2020 and 2021, 708,971 excess deaths were recorded, which decreased life expectancy at birth by 4.6 years; 76% of this reduction was attributed to COVID-19. The COVID-19 mortality rate was higher than expected according to the sociodemographic conditions of the states. CONCLUSIONS: In Mexico and the countries of the region, the pandemic was devastating and generated regressions in life expectancy at birth, which varied from two to nine years. It is not clear why the effect was so different between countries and within Mexico.

ANTECEDENTES: Entre 2020 y 2021, México experimentó 2.21 millones de defunciones, de las cuales 25.3 % estuvo relacionado con infección por SARS-COV-2. OBJETIVOS: Evaluar la mortalidad por COVID-19 en 2020-2021, determinar su influencia en la esperanza de vida al nacer a nivel nacional, estatal y en países seleccionados de la región, así como analizarla en función del perfil sociodemográfico. MATERIAL Y MÉTODOS: Se utilizaron datos del Global Burden of Disease 2021 para reportar la mortalidad, el impacto en la esperanza de vida y las causas subyacentes entre 2019 y 2021. Se usó una regresión cuadrática para evaluar la mortalidad en exceso como indicador de la respuesta de los estados a la pandemia, considerando su estructura sociodemográfica. RESULTADOS: Entre 2020 y 2021, se registraron 708 971 muertes en exceso, que disminuyeron la esperanza de vida al nacer en 4.6 años; 76 % de esta reducción se atribuyó a COVID-19. La tasa de mortalidad por COVID-19 fue superior a la esperada conforme a las condiciones sociodemográficas de las entidades. CONCLUSIONES: En México y los países de la región, la pandemia fue devastadora y generó regresiones en la esperanza de vida al nacer, que variaron de dos a nueve años. Se requiere más investigación para entender las variaciones en sus efectos.