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Estimating the prevalence alcohol use disorder and relapse risks in Kermanshah Province of Iran: Integrating direct, indirect methods, and tree-based analysis

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Listed:
  • Faezeh Tatari
  • Mostafa Alikhani
  • Farnaz Radmehr
  • Sara Hookari
  • Mehran Kamani
  • Vahid Farnia
  • Omran Davarinejad
  • Mehdi Moradinazar
  • Lida Olfati
  • Narges Nazari Harmooshi
  • Safora Salemi
  • Bahareh Rahami

Abstract

Background: Alcohol Use Disorder (AUD) is a major health issue in various societies, particularly in Iran, with detrimental consequences. In this study, we examined the prevalence of AUD using direct and indirect methods (Network Scale-Up model (NUS) and Crosswise model (CM)), as well as the factors associated with relapse, utilizing tree analysis. Methods: In this cross-sectional study conducted among individuals aged 15–69 in Kermanshah Province, western Iran, 6,127 participants were selected using stratified sampling. Data collection was performed electronically and recorded in a digital system by trained interviewers. The indirect assessment utilized both NUS and CM methods and Factors affecting the recurrence of alcohol use were investigated using the tree regression method. Results: The prevalence of AUD in western Iran was estimated at 3.20% using direct methods, 20.54% using the CM method, and 7.21% using the NUS method. A total of 34 (0.7%) individuals reported relapse in AUD. Tree analysis results indicated that the frequency of relapse (chi square = 4994.0, P

Suggested Citation

  • Faezeh Tatari & Mostafa Alikhani & Farnaz Radmehr & Sara Hookari & Mehran Kamani & Vahid Farnia & Omran Davarinejad & Mehdi Moradinazar & Lida Olfati & Narges Nazari Harmooshi & Safora Salemi & Bahare, 2025. "Estimating the prevalence alcohol use disorder and relapse risks in Kermanshah Province of Iran: Integrating direct, indirect methods, and tree-based analysis," PLOS ONE, Public Library of Science, vol. 20(8), pages 1-11, August.
    • Handle: RePEc:plo:pone00:0325107
    DOI: 10.1371/journal.pone.0325107
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