AUTHOR=Agudelo-Botero Marcela , Dávila-Cervantes Claudio A. , Giraldo-Rodríguez Liliana 

TITLE=Cardiometabolic multimorbidity in Mexican adults: a cross-sectional analysis of a national survey

JOURNAL=Frontiers in Medicine

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2024.1380715

DOI=10.3389/fmed.2024.1380715

ISSN=2296-858X

ABSTRACT=Background: Cardiometabolic multimorbidity is a rising phenomenon that has been barely explored in middle-income countries such as Mexico.Objective: This study aims to estimate the prevalence, associated factors, and patterns of cardiometabolic multimorbidity (2 and 3+ diseases) in Mexican adults (≥20 years old) by age group. Methods: A secondary and cross-sectional study based on the National Health and Nutrition Survey 2018-19. Information on eight diseases and other sociodemographic and health/lifestyle characteristics was obtained through self-reporting. Descriptive analyses were performed, and multinomial logistic regression models were calculated to identify the variables associated with cardiometabolic multimorbidity. Factor analysis and latent classes were estimated to determine disease patterns. Results: Cardiometabolic multimorbidity for the total population study was 27.7% (13.7% for people with 2 diseases and 13.9% for people with 3+ diseases). By age group, the prevalence of 2+ diseases were 12.5% in the age group of 20-39 years, 35.2% in the age group of 40-59 years, and 44.5% in the age group of 60 years and older. The variables of depressive symptomatology and having functional limitations (1+) were statistically associated with cardiometabolic multimorbidity in almost all age groups. Patterns of cardiometabolic multimorbidity varied among adults in different age groups. Understanding the behavior of cardiometabolic multimorbidity at various stages of adulthood is a resource that could be used to design and implement intervention strategies. Such strategies should correspond to the population's sociodemographic, health, and lifestyle characteristics and the specific disease patterns of each age group.