A new study has found that social determinants of health—such as income, education, and neighborhood conditions—can predict the risk of developing common diseases like diabetes, heart disease, and stroke just as well as, and sometimes better than, genetic risk scores. The research, conducted by scientists at Mount Sinai, suggests that these social factors are powerful predictors of health outcomes and should be considered alongside genetics in preventive care.

Key Takeaways

  • Social determinants of health can match or exceed the predictive power of polygenic risk scores for common diseases.
  • Factors like income, education, and neighborhood environment were strong predictors of conditions such as diabetes, heart disease, and stroke.
  • The findings suggest that addressing social factors could be as important as genetic screening in preventing disease.

How the Study Was Conducted

The Mount Sinai researchers analyzed data from over 200,000 participants in the UK Biobank, a large biomedical database. They compared the ability of social determinants of health and polygenic risk scores to predict the onset of 10 common diseases, including type 2 diabetes, coronary artery disease, and stroke. The social determinants included factors such as income, education, employment, housing, and neighborhood deprivation.

Social Determinants vs. Genetic Risk

The study found that social determinants of health were as good as or better than polygenic risk scores at predicting the development of many common diseases. For example, social factors were stronger predictors of type 2 diabetes and heart disease than genetic risk. The researchers noted that combining both social and genetic data provided the most accurate predictions, but social factors alone were often sufficient for risk assessment.

Implications for Preventive Medicine

These findings have significant implications for how doctors and public health officials approach disease prevention. The study suggests that screening for social determinants of health could be a cost-effective way to identify people at high risk for common diseases. By addressing these social factors—through interventions like improving access to healthy food, housing, or education—healthcare systems may be able to reduce the burden of disease more effectively than focusing solely on genetic risk.

Frequently Asked Questions

What are social determinants of health?

Social determinants of health are the conditions in which people are born, grow, live, work, and age. They include factors like income, education, employment, housing, access to healthcare, and neighborhood environment. These factors can significantly influence a person’s health outcomes and risk of developing diseases.

How do social determinants compare to genetic risk in predicting disease?

The Mount Sinai study found that social determinants of health can predict the risk of common diseases like diabetes and heart disease as well as, or better than, polygenic risk scores. In some cases, social factors were stronger predictors than genetics. The study suggests that both types of risk factors are important, but social determinants should not be overlooked.

Can changing social determinants reduce disease risk?

While the study did not test interventions, the findings suggest that addressing social determinants of health—such as improving income, education, or neighborhood conditions—could potentially reduce the risk of developing common diseases. However, more research is needed to determine the most effective ways to modify these factors and their impact on health outcomes.

The study was published in the journal Nature Human Behaviour and was led by researchers at the Icahn School of Medicine at Mount Sinai.

This is an original report by Vital Signs Today, informed by reporting from Google News. Read the original source.

This article is for information only and is not medical advice. See our Medical Disclaimer.