Literature DB >> 32422524

Stereotyping and the opioid epidemic: A conjoint analysis.

Tagart Cain Sobotka1, Sheridan A Stewart2.   

Abstract

Political attention and media coverage concerning rising rates of opioid addiction and opioid-involved deaths in the United States have been critiqued for focusing almost exclusively on trends among whites. It remains unclear, however, if this "white-washing" of the opioid crisis has coincided with a shift in Americans' stereotypes about who abuses opioids. Understanding these stereotypes is important because they can create or uphold larger structural barriers by impacting the ability of certain groups to access appropriate treatment, influencing public support for various policies, and shaping interactions with law enforcement officials. Utilizing a conjoint survey experiment (n = 3670), we examined the independent effects of a person's race, occupation, gender, age, and region on the probability they would be seen as more likely than another individual to abuse opioids. We found that the probability of being identified as likely to abuse opioids is highest when a profile describes an individual as white or unemployed. This study offers the first systematic, experimental analysis of the independent contributions of various traits to the perception that someone is likely to abuse opioids.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Conjoint analysis; Opioids; Stereotypes; Substance abuse; Substance use; United States

Mesh:

Substances:

Year:  2020        PMID: 32422524     DOI: 10.1016/j.socscimed.2020.113018

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  2 in total

1.  Spatiotemporal Trends in Opioid Overdose Deaths by Race for Counties in Ohio.

Authors:  David Kline; Yuhan Pan; Staci A Hepler
Journal:  Epidemiology       Date:  2021-03-01       Impact factor: 4.860

Review 2.  Opioid Misuse: A Review of the Main Issues, Challenges, and Strategies.

Authors:  Helena Biancuzzi; Francesca Dal Mas; Valerio Brescia; Stefano Campostrini; Marco Cascella; Arturo Cuomo; Lorenzo Cobianchi; Ander Dorken-Gallastegi; Anthony Gebran; Haytham M Kaafarani; Franco Marinangeli; Maurizio Massaro; Angela Renne; Giacomo Scaioli; Rym Bednarova; Alessandro Vittori; Luca Miceli
Journal:  Int J Environ Res Public Health       Date:  2022-09-17       Impact factor: 4.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.