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Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
Published on: September 26, 2011
Factors associated with HIV Testing within the National Health Interview Survey (2006-2018)
Armaan Jamal1,2, Malathi Srinivasan3,4, Gloria Kim3,5
1Stanford Center for Asian Health Research and Education, Stanford University School of Medicine, Stanford, CA, USA. ajamal6@stanford.edu.
HIV testing rates vary significantly by race/ethnicity, with Black and Hispanic individuals more likely to be tested than White individuals. Understanding these disparities is key to improving HIV screening for all populations.
Area of Science:
- Public Health
- Epidemiology
- Health Disparities
Background:
- The Centers for Disease Control and Prevention (CDC) recommends lifetime HIV testing for individuals aged 13-64.
- HIV screening prevalence is disproportionately distributed across racial and ethnic groups in the United States.
- Addressing these disparities is crucial for effective HIV prevention and care.
Purpose of the Study:
- To examine the prevalence of HIV testing across different racial/ethnic populations in the US.
- To identify demographic, socioeconomic, and health-related factors associated with HIV testing.
- To inform strategies for increasing HIV testing rates and reducing health disparities.
Main Methods:
- Analysis of National Health Interview Survey data from 2006-2018.
- Inclusion of over 300,000 individuals across White, Black, Hispanic, and Asian racial/ethnic groups.
- Logistic regression modeling to determine odds ratios (OR) and 95% confidence intervals (CI) for HIV testing.
Main Results:
- HIV testing prevalence was approximately 36% for White, 61% for Black, 47% for Hispanic, and 36% for Asian individuals.
- Black (OR=2.44) and Hispanic (OR=1.28) individuals had higher odds of testing compared to White individuals.
- Asian individuals (OR=0.74) had lower odds of testing; males, married individuals, younger/older adults, those with lower education/income, better self-reported health, and no health visits were also less likely to test.
Conclusions:
- Significant racial/ethnic disparities exist in lifetime HIV testing in the US.
- Socioeconomic and demographic factors influence HIV testing likelihood.
- Targeted interventions are needed to improve HIV screening rates among underserved populations and reduce health inequities.
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