A glossary for social-to-biological research

  • 0University of Stirling, UK.

Summary

This summary is machine-generated.

Social experiences impact biology, creating socially patterned biomarkers. This guide helps researchers understand and use these biomarkers in social-to-biological studies.

Area Of Science

  • Social epidemiology
  • Biomarkers
  • Health disparities

Background

  • Socially structured experiences influence biological responses.
  • Numerous biomarkers are socially patterned, reflecting the biological embodiment of the social environment.
  • Understanding the interplay between social factors and biological markers is crucial for multidisciplinary research.

Purpose Of The Study

  • To provide a resource for researchers on commonly available biomarkers.
  • To guide optimal use and combination of social and biomarker data.
  • To facilitate research on the social-to-biological transition.

Main Methods

  • Glossary of commonly available biomarkers in large health and social surveys/cohort studies.
  • Focus on adult biomarkers across physiological systems.
  • Inclusion of definitions, measurement methods, usage considerations, and study examples.

Main Results

  • Provides accessible definitions and measurement details for various biomarkers.
  • Highlights key considerations for using biomarkers in research.
  • Offers examples of biomarker application in social-to-biological studies.

Conclusions

  • This glossary serves as a foundational resource for researchers integrating social and biomarker data.
  • It aids in understanding the biological embodiment of social factors.
  • Facilitates robust multidisciplinary research on social determinants of health.

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