Multidimensional analysis of health in Mexico: implementation of fuzzy sets

Payán, Lucio Flores; Hernández-Corona, Diana Mercedes; González-Heredia, Tonatiuh

doi:10.1186/s12889-021-10988-2

Cited by 4 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These diseases cause enormous expenses, not yet well quantified, that depend on in-hospital care, years of life lost, partial or permanent disability, and absenteeism from work. Many patients with acute coronary syndromes do not receive state-of-the-art treatment [ 32 , 33 ]. Therefore, Mexico has the most significant mortality due to myocardial infarction of all countries encompassed in the Organization for Economic Co-operation and Development (OECD) [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

The TG/HDL-c Lipid Ratio as a Cardiovascular Risk Marker in a Mexican Urban Middle-Class Population: Do We Need a Risk Score Tailored for Mexicans?

Martínez-Marroquín,

Meaney,

Samaniego-Méndez

et al. 2023

JCM

View full text Add to dashboard Cite

Introduction: Risk scores are essential in primary prevention to detect high-risk patients. The most common scores exclude hypertriglyceridemia and abdominal obesity in their risk assessment. We examined the triglyceride/HDL-cholesterol (TG/HDL-c) ratio as a cardiovascular (CV) risk marker in a middle-class urban Mexican population sample. Aim: Our aim was to test the concept of a scoring system reflecting Mexican population characteristics. Methods: A total of 2602 healthy adults from the Lindavista primary prevention program were considered, evaluating gender, age, blood pressure, smoking, body mass index, waist circumference, lipid profile, and fasting glucose. According to the abnormality, a score from −3 to +3 was assigned. Results: The summation of eleven variables yielded the Lindavista score (LS), which was calibrated versus the TG/HDL ratio and ACC ASCVD Risk Estimator Plus score to determine its correlation with risk categories. The TG/HDL-c ratio had a linear correlation with LS and high-risk ACC ASCVD categories. Conclusions: Compared with LS and TG/HDL-c, the ACC ASCVD system underestimates the high-risk category. The high prevalence of obesity and lipid triad in the Mexican population requires a scale that considers those traits. The TG/HDL-c ratio is a practical, easy, and economical instrument to categorize risk in Mexicans.

show abstract

Section: Discussionmentioning

confidence: 99%

The TG/HDL-c Lipid Ratio as a Cardiovascular Risk Marker in a Mexican Urban Middle-Class Population: Do We Need a Risk Score Tailored for Mexicans?

Martínez-Marroquín,

Meaney,

Samaniego-Méndez

et al. 2023

JCM

View full text Add to dashboard Cite

show abstract

“…Concurrence of T2D and depressive symptoms in Mexican older adults meets the three main premises of the syndemic model: 1) the high frequency of the diseases, 2) the relationship between both diseases, and 3) the convergence of social, economic and health factors that magnify the disparities. T2D and depression are not only interrelated by clinical or physiological aspects, as social and economic factors play a role in the occurrence and complications of these diseases [26].…”

Section: Discussionmentioning

confidence: 99%

“…In Mexico, T2D has one of the highest burdens of disease in the adult population, as well as depression [23][24][25][26][27]. In 2019, the standardized rate of disability-adjusted life years (DALY) per 100,000 inhabitants was 2 261.1 for T2D and 630.6 for depressive disorders [28].…”

Section: Introductionmentioning

confidence: 99%

Type 2 diabetes and depressive symptoms in the adult population in Mexico: a syndemic approach based on National Health and Nutrition Survey

2022

View full text Add to dashboard Cite

Background The syndemic approach allows the analysis of clusters of diseases that affect a population in contexts of geographic, social and economic inequalities at the same moment and time. This study aims to analyze, from a syndemic perspective, the relationship between type 2 diabetes (T2D) and depressive symptoms in Mexican adults and its association with individual, contextual and structural factors. Methods Observational, cross-sectional study based on secondary data from Mexico’s National Health and Nutrition Survey 2018–19. The sample of this study consisted of 16 835 adults, which represented a total of 78 463 734 persons aged ≥ 20 years. Bivariate descriptive analyses were performed and logistic regression models were estimated to analyze the association between T2D and depressive symptoms with various co-variables. In addition, interactions between T2D and depressive symptoms with obesity, educational level, and socioeconomic status were tested. Results In the study population, 12.2% of adults aged 20 years and older self-reported having T2D, 14.7% had depressive symptoms and 2.8% had both diseases. There was a statistically significant relationship between T2D and depressive symptoms. The prevalence of T2D and depressive symptoms was higher compared to people who did not have these two conditions. Obesity increased the probability of having T2D, while violence was statistically associated with people having depressive symptoms. A low level of education increased the odds ratio of having T2D and depressive symptoms. Conclusion The availability of analytical frameworks such as the syndemic perspective could help to identify areas of opportunity for decision making and actions for population groups that–because of their individual, contextual and structural disadvantages–are at greater risk of experiencing poorer health outcomes due to the presence of T2D and depressive symptoms.

show abstract

Multidimensional Population Health Modeling: A Data-Driven Multivariate Statistical Learning Approach

2022

View full text Add to dashboard Cite

Population health is multidimensional in nature, having complex relationships with the various health determinants. However, most previous studies investigate a single dimension of population health using linear models, failing to capture the nonlinearity in the data and interdependence of multiple dimensions in health outcomes. In this paper, we propose a datadriven multivariate statistical learning approach to simultaneously model various aspects of population health-characterizing the length and quality of life-as a function of health behaviors, clinical care, socioeconomic factors, physical environment, and demographics. We also propose a novel percentile-based variable selection for multivariate regression, without compromising the model's generalization performance. We demonstrate the applicability of our proposed datadriven methodological framework using the New York State as a case study. Leveraging crossvalidation techniques and statistical hypothesis tests, the results indicate that multivariate tree boosting method outperforms the traditionally-used linear regression model and random forest in modeling multidimensional population health. The variable importance heat-map illustrates the relative influence of the key health determinants on the various dimensions of population health. Partial dependence plots are used to quantify the marginal effects and the nonlinear relationships between the health outcomes and health inputs. Our results show that teen birth rate is strongly associated with both length of life (e.g., child mortality) and quality of life (e.g., physically unhealthy days). Socioeconomic status is the key indicator to predict child and infant mortality. Our proposed framework can be used as a decision support tool for accurately assessing and predicting multivariate population health.

show abstract

Multidimensional analysis of health in Mexico: implementation of fuzzy sets

Cited by 4 publications

References 24 publications

The TG/HDL-c Lipid Ratio as a Cardiovascular Risk Marker in a Mexican Urban Middle-Class Population: Do We Need a Risk Score Tailored for Mexicans?

The TG/HDL-c Lipid Ratio as a Cardiovascular Risk Marker in a Mexican Urban Middle-Class Population: Do We Need a Risk Score Tailored for Mexicans?

Type 2 diabetes and depressive symptoms in the adult population in Mexico: a syndemic approach based on National Health and Nutrition Survey

Multidimensional Population Health Modeling: A Data-Driven Multivariate Statistical Learning Approach

Contact Info

Product

Resources

About