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Targeting the At-Risk: Sociodemographic Insights into Fentanyl Misuse for Public Health Action

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  • 발행기관
    한국콘텐츠산업학회 바로가기
  • 간행물
    콘텐츠와산업 KCI 등재 바로가기
  • 통권
    제7권 제6호 (2025.12)바로가기
  • 페이지
    pp.19-23
  • 저자
    Siherya, Benedy Soki, Lee, Geum Seon
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A478238

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초록

영어
Although fentanyl was originally developed as a potent pain reliever, it has become a major contributor to the ongoing opioid epidemic in the United States. However, limited research has explored how sociodemographic and pandemic-related factors jointly influence vulnerability to fentanyl use. Thus, this study examined the associations between age, marital status, education, income, self-reported health, and COVID-19–related treatment disruptions with past-year fentanyl use and further tested income as a moderating factor. The analysis was performed using data from the 2023 National Survey on Drug Use and Health (NSDUH), employing chi-square tests and multivariate logistic regression. The results showed that age, marital status, education, income, and health status were significantly associated with fentanyl use, while pandemic-related treatment delays and unmet healthcare needs were linked to higher prevalence of use. In the multivariate model, individuals reporting negative health impacts due to lack of treatment were less likely to use fentanyl, and income moderated the relationship between treatment delays and fentanyl use. These findings are valuable in understanding how sociodemographic disparities and healthcare disruptions interact to shape fentanyl misuse, highlighting the moderating role of income in treatment-related vulnerability. This study suggests that equity-focused policies ensuring stable healthcare access and socioeconomic support are essential to reducing fentanyl-related harm in future crises.

목차

Abstract
I. Introduction
II. Methodology
1. Study Design
2. Variables and Measurement
3. Statistical Analyses
III. Results
1. Participant Characteristics
2. Bivariate Associations
3. Logistic Regression Predicting Past-Year Fentanyl Us
IV. Discussion
V. Conclusion
Reference

키워드

fentanyl sociodemographic factors COVID-19 opioid epidemic treatment barriers

저자

  • Siherya, Benedy Soki [ Ph. D. Course, Department of Addiction Science, Graduate School of Shamyook University ] 1st author
  • Lee, Geum Seon [ Associate Professor, Department of Addiction Science, Graduate School of Shamyook University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국콘텐츠산업학회 [Korean Contents and Industry Association]
  • 설립연도
    2019
  • 분야
    복합학>학제간연구

간행물

  • 간행물명
    콘텐츠와산업 [Journal of Contents and Industry]
  • 간기
    격월간
  • pISSN
    2765-317X
  • 수록기간
    2019~2026
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

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