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Modern Trends in Hospital-Based Cosmetic Surgery Use across Racial and Ethnic Groups.

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The proportion of patients undergoing cosmetic surgery has significantly shifted, with non-White individuals increasing their utilization at a rate exceeding population growth. White patients, conversely, have seen a decline in cosmetic surgery procedures relative to their population size.

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Area of Science:

  • Plastic Surgery
  • Demographic Health Trends
  • Socioeconomic Factors in Healthcare

Background:

  • Historically, cosmetic surgery has predominantly served White patients in the U.S.
  • Recent decades show increasing U.S. population diversification.
  • The impact of these demographic shifts on cosmetic surgery utilization remains understudied.

Purpose of the Study:

  • To quantify demographic changes in patients undergoing cosmetic surgery.
  • To analyze racial and ethnic distribution trends in cosmetic surgery patients.
  • To compare cosmetic surgery utilization trends with national population demographics.

Main Methods:

  • Utilized the National Surgical Quality Improvement Project (NSQIP) database (2010-2023).
  • Extracted data for five common cosmetic surgery procedures using Current Procedural Terminology (CPT) codes.
  • Analyzed U.S. Census Bureau data for national demographic trends.
  • Employed logistic regression to identify temporal changes in patient demographics.

Main Results:

  • Non-White patients' share of cosmetic surgery procedures increased by an average of 10% annually (p < 0.001).
  • This increase significantly outpaced their population growth by 8% annually (p < 0.001).
  • White patients' proportion of procedures declined by 19.9%, at a rate 7% higher than their relative population decrease (p < 0.001).

Conclusions:

  • The cosmetic surgery patient demographic is diversifying, with minority utilization rising faster than their population increase.
  • Surgeons must consider cultural and socioeconomic factors impacting diverse patient populations.
  • Awareness of these factors is crucial for optimizing surgical decision-making, patient satisfaction, and outcomes.