Socioeconomic Factors and Their Impact on Cardiovascular-Kidney-Metabolic Syndrome at the Census Tract Level - Scorecard - MDSpire

Socioeconomic Factors and Their Impact on Cardiovascular-Kidney-Metabolic Syndrome at the Census Tract Level

  • By

  • Vaishnavi Krishnan

  • Xiaoning Huang

  • Cyanna McGowan

  • Nilay S. Shah

  • Farah Qureshi

  • Cynthia S. Minkovitz

  • Kiarri N. Kershaw

  • Alexa A. Freedman

  • Gregory E. Miller

  • Donald M. Lloyd-Jones

  • Sadiya S. Khan

  • April 9, 2026

  • 0 min

Share

Clinical Scorecard: Socioeconomic Factors and Their Impact on Cardiovascular-Kidney-Metabolic Syndrome at the Census Tract Level

At a Glance

CategoryDetail
ConditionCardiovascular-Kidney-Metabolic (CKM) Syndrome - a significant public health burden with high morbidity and mortality.
Key MechanismsInterrelated conditions including obesity, diabetes, hypertension, kidney disease, and cardiovascular diseases, contributing to substantial health care costs.
Target PopulationIndividuals living in various census tracts across the United States, particularly those in lower socioeconomic statuses.
Care SettingCommunity and public health settings, focusing on integrated care approaches.

Key Highlights

  • CKM syndrome poses significant public health burden with high morbidity and mortality.
  • Neighborhood socioeconomic factors significantly influence CKM conditions, with specific indices showing varying impacts.
  • Seven neighborhood indices were analyzed for their correlation with CKM conditions, highlighting the need for comprehensive assessment.
  • Median household income is a commonly used measure but may not capture all health determinants; additional indices provide deeper insights.
  • Publicly available data was utilized for comprehensive analysis at the census tract level, ensuring transparency and reproducibility.

Guideline-Based Recommendations

Diagnosis

  • Utilize neighborhood indices to assess CKM condition prevalence, focusing on specific indices relevant to the population.

Management

  • Incorporate social determinants of health in CKM management strategies, such as access to healthcare, education, and employment opportunities.

Monitoring & Follow-up

  • Regularly evaluate neighborhood characteristics alongside individual health metrics to identify at-risk populations.

Risks

  • Higher deprivation indices correlate with increased CKM condition prevalence, necessitating targeted interventions.

Patient & Prescribing Data

Residents of census tracts with varying socioeconomic statuses, particularly those at higher risk for CKM conditions.

Addressing social determinants may improve health outcomes in CKM syndrome by tailoring interventions to community needs.

Clinical Best Practices

  • Integrate neighborhood indices into public health assessments to identify high-risk areas.
  • Focus on holistic approaches considering both clinical and nonclinical factors, including mental health and community resources.
  • Use community-level data to inform targeted interventions, such as health education programs and resource allocation.

References

Original Source(s)

Related Content