Risk factors affecting the utilization of eye care services evaluated by the CDC's behavior risk factor surveillance system from 2018 to 2021
Datos Bibliográficos
| ID | 22087232 |
|---|---|
| Autores | Adrianna M Powers (New York Medical College), Deepkumar Patel (University of San Francisco), Margaret M DeAngelis (0000-0003-3731-142X, University at Buffalo, State University of New York), Changyong Feng (0000-0002-4432-1565, University of Rochester), Karen Allison (0000-0002-5411-4252, University of Rochester, autor de correspondencia) |
| Año | 2024 |
| Volumen | 12 |
| Páginas | 1335427-1335427 |
| Fecha de publicación | 2024-06-10 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Frontiers in Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Editorial | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1335427 |
| PMID | 38915755 |
| OpenAlex | W4399558627 |
| Idioma | EN |
| Referencias citadas | 15 |
When thinking about major health concerns in the U.S. and around the world, eye care ranks lower compared to cardiovascular disease, cancer, and diabetes. However, people do not think about the direct connection between diabetes and eye health. Untreated diabetes can lead to visual impairments such as blindness or difficulty seeing. Studies have found that eye health associated with nutrition, occupational exposure, diabetes, high blood pressure, and heart disease are some of the known risk factors. This study aimed to identify the potential risk factors that are associated with visual impairment (VI). The data used for this analysis were obtained from the Centers for Disease Control and Prevention (CDC) - Behavioral Risk Factor Surveillance System (BRFSS) from 2018 to 2021. We found important characteristics, such as the U.S. region, general health perception, employment status, income status, age, and health insurance source, that are associated with VI. Our study confirmed that the common demographical factors including age, race/ethnicity, the U.S. region, and gender are associated with VI. The study also highlights associations with additional risk factors such as health insurance source, general health perceptions, employment status, and income status. Using this information, we can reach out to communities with large numbers of individuals experiencing vision challenges and help educate them on prevention and treatment protocols, thereby effectively addressing VI and blindness challenges within our communities, neighborhoods, and finally, the broader society
Behavioral Risk Factor Surveillance System · Blindness · Diabetes mellitus · Disease · Environmental health · Ethnic group · Health care · Pathology · Population · Psychiatry · Risk factor · Socioeconomic status · Visual impairment · Glaucoma and retinal disorders · Medicine · Retinal Diseases and Treatments · Retinal Imaging and Analysis · Gerontology · Optometry
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |