Associations between subjective social status and predictors of interest in genetic testing among women diagnosed
Jonathan N Odumegwu1, Daniel Chavez-Yenter2,3, Melody S Goodman1
1Department of Biostatistics, NYU School of Global Public Health, New York, NY, USA.
Cancer Causes & Control : CCC
|May 3, 2024
Summary
Subjective social status impacts interest in genetic testing for young breast cancer patients. Higher social status correlates with increased knowledge and interest, while lower status and income reduce it, highlighting the need for equitable interventions.
Area of Science:
- Oncology
- Genetics
- Sociology
Background:
- Genetic testing for hereditary breast cancer is crucial for young women.
- Disparities exist in access and utilization of genetic testing among different social groups.
- Research on predictors of genetic testing interest in young breast cancer patients is limited.
Purpose of the Study:
- To investigate the relationship between subjective social status (SSS) and factors influencing genetic testing interest in young women diagnosed with breast cancer.
- To identify predictors of genetic testing interest, considering knowledge, worry, health consciousness, and decision-making preferences.
Main Methods:
- A cohort of 1,076 young women diagnosed with breast cancer was studied.
- Relationships between subjective social status (SSS) and various predictors (knowledge, worry, health consciousness, etc.) were examined.
- Multivariate analysis was used to identify significant predictors of genetic testing interest.
Main Results:
- Higher SSS was associated with greater knowledge of genome sequencing limitations and higher informational norms.
- Education and health status were significant predictors for higher SSS women.
- Lower SSS women with low income showed significantly lower interest in genetic testing.
Conclusions:
- Subjective social status is a critical factor in understanding genetic testing interest among young breast cancer patients.
- Interventions to improve genetic knowledge and testing uptake should consider the social context and status of these women.
- Ensuring equitable access to the benefits of genetic testing requires addressing socioeconomic disparities.
Related Concept Videos
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K
Behavioral Genetics and Its Designs
358
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
358
Relationship Formation
40.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.0K
Comparing the Survival Analysis of Two or More Groups
178
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
178
Cancer Survival Analysis
345
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345


