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Summary:
Cardiometabolic disorders, encompassing cardiovascular illnesses, diabetes, and persistent pulmonary diseases, continue to pose major public health issues on a global scale. In this talk, I will investigate the complex interactions among socioeconomic status (SES), lifestyle attributes, and cardiometabolic disease (CMD) results utilizing data from the Health Information National Trends Survey (HINTS). Employing structural equation modeling (SEM), I will assess the potential mediating roles of lifestyle selections such as physical exercise, smoking, and alcohol intake, regarding the connection between SES and CMD. This will provide new perspectives on ongoing health inequalities in the United States.
Moreover, I will address the larger implications of these discoveries for creating comprehensive public health strategies and policies. By tackling cardiometabolic health inequalities at individual, community, and national scales, this investigation emphasizes the need for integrating behavioral, structural, and systemic methodologies to foster health equity and enhance results across various populations.
Brief biography:
Dr. Ebenezer Larnyo serves as a Postdoctoral Scholar at the Center for Black Studies Research (CBSR) located at the University of California, Santa Barbara. He also acts as the facilitator and advisor for the CBSR’s Student Engagement and Enrichment in Data Science (SEEDS) initiative. He earned his Ph.D. in Management Science and Engineering from Jiangsu University and holds an MSc in Computer Science and Technology from Jiangsu University of Science and Technology in Zhenjiang, China. Prior to joining UC Santa Barbara, he was an Assistant Research Professor-Postdoctoral Fellow within the Department of Health Policy and Management at Jiangsu University, Zhenjiang, China.
Ebenezer’s research investigates the influence of various factors, including social, economic, structural, and techno-cultural elements on the life quality of older adults. He is also focused on how healthcare technologies and data science can be utilized to enhance life quality, improve accessibility to personalized healthcare, and alleviate the burden of chronic and age-related diseases among older individuals and those with cognitive impairments, particularly in minority communities within the US and Sub-Saharan Africa. Ebenezer is deeply committed to utilizing research to better the lives of older adults and diminish health disparities. He is dedicated to collaborating with communities to create and implement solutions that are culturally suitable and responsive to the needs of older populations.
This page was generated automatically. To view the article in its original setting, please visit the link below:
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