Role of Biomarkers in Understanding Social Determinants of Health
The global conversation around improving health outcomes is increasingly focused on the social determinants of health (SDOH)—the conditions in which people are born, live, work, and age. These determinants, such as income, education, housing, and access to healthcare, significantly influence an individual’s well-being. While these are often considered outside the scope of traditional clinical care, biomarkers are emerging as a powerful bridge between biological data and social context.
At Neftaly, we recognize that biomarkers can offer unique insights into how social and environmental conditions affect health at a molecular level, enabling more informed, targeted, and equitable health policies.
What Are Biomarkers?
Biomarkers are measurable indicators of biological states or conditions—such as blood pressure, cholesterol levels, gene expression, or inflammation markers. They are commonly used in diagnostics, treatment monitoring, and disease prevention.
When viewed through the lens of SDOH, biomarkers can help:
- Quantify the biological impact of social stressors
- Identify populations at higher risk due to environmental or socioeconomic factors
- Strengthen data-driven advocacy for health equity
Connecting Biomarkers and Social Determinants
✅ 1. Stress and Chronic Disease
- Biomarkers like cortisol (a stress hormone) or C-reactive protein (CRP) can reflect the physiological toll of chronic stress due to poverty, discrimination, or unsafe living environments.
- These insights highlight how long-term exposure to adverse social conditions contributes to chronic diseases such as diabetes, cardiovascular disease, and depression.
✅ 2. Environmental Exposure
- Biomarkers can detect heavy metals, air pollutants, or toxins in the body, offering evidence of disproportionate environmental exposures in low-income or marginalized communities.
- These data can inform environmental justice efforts and regulatory policies.
✅ 3. Nutrition and Food Security
- Nutritional biomarkers such as vitamin D, iron, or hemoglobin levels help assess the health impact of food insecurity, especially in children and pregnant women.
- They support interventions like school feeding programs or community nutrition initiatives.
✅ 4. Access to Healthcare
- Biomarkers can reveal undiagnosed conditions in populations with limited access to preventive care—showcasing the biological consequences of systemic healthcare gaps.
- This evidence can be used to justify expanding primary care and diagnostic services.
Implications for Health Policy and Equity
By integrating biomarker data with social and demographic information, policymakers and health systems can:
- Map health inequities with greater precision
- Target interventions based on both biological and social risk factors
- Monitor the effectiveness of programs aimed at addressing SDOH
- Support evidence-based advocacy for systemic change
Challenges and Ethical Considerations
- Data privacy and consent: Especially when combining biological data with sensitive personal information.
- Avoiding blame: Biomarkers should illuminate systemic issues, not reinforce stigma or individual responsibility for social conditions.
- Equitable research practices: Ensure biomarker studies include diverse populations and community input.
Conclusion
Biomarkers provide a unique and powerful lens through which to understand the biological consequences of social determinants of health. When used ethically and strategically, they can enhance public health research, strengthen advocacy, and support the creation of targeted, equity-driven policies.