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Obesity Pillars Roundtable: Obesity and Diversity
Harold Edward Bays1,2, Doris X Muñoz-Mantilla3, Ryan Morgan4
1Medical Director/President Louisville Metabolic and Atherosclerosis Research Center, 3288 Illinois Avenue, Louisville, KY, 40213, USA.
Obesity Pillars
|November 22, 2023
Summary
Understanding diverse patient terminology is key to managing obesity disparities. Tailoring care to race, ethnicity, and sexual orientation improves patient engagement and outcomes.
Area of Science:
- Medical Science
- Public Health
- Health Disparities
Background:
- Obesity's clinical impact varies significantly across different racial, ethnic, and sexual orientation groups.
- Addressing these variations is crucial for equitable healthcare.
- Disparities in obesity management persist among diverse populations.
Purpose of the Study:
- To highlight the importance of understanding terminology related to diverse populations in obesity management.
- To emphasize the need for a patient-centered approach in clinical practice.
- To inform healthcare providers about specific considerations for Black, Hispanic/Latino, LGBTQ+, and Native American individuals.
Main Methods:
- A roundtable discussion involving four obesity specialists.
- Focus on clinical management of obesity in diverse patient groups.
- Exploration of terminology and cultural nuances relevant to patient care.
Main Results:
- Understanding specific terminology (e.g., Native American cultural context, Black African American vs. Black African distinctions, Hispanic vs. Latinx, LGBTQ+ pronouns) is a primary obstacle.
- Accurate terminology facilitates better patient comprehension and engagement.
- A patient-centered approach, informed by cultural understanding, is essential for effective obesity management.
Conclusions:
- Recognizing unique genetic, cultural, and linguistic factors in diverse patients improves obesity care.
- Clinicians can enhance patient engagement by adopting a patient-centered strategy.
- Tailored management strategies are vital for addressing obesity across varied populations.
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