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Disaggregating Asian-American Mortality in Drug-Related Overdoses and Behavioral Disorders: A Cross-Sectional Study
David T Zhu1, Anthony Zhong2, Winnie J Ho3
1Medical Scientist Training Program, School of Medicine, Virginia Commonwealth University, 1201 E Marshall St, Richmond, VA, 23298, USA. davetzhu@gmail.com.
Abstract:
Asian Americans have been historically underrepresented in the national drug overdose discourse due to their lower substance use and overdose rates compared to other racial/ethnic groups. However, aggregated analyses fail to capture the vast diversity among Asian-American subgroups, obscuring critical disparities. We conducted a cross-sectional study between 2018 and 2021 examining Asian-American individuals within the CDC WONDER database with drug overdoses as the underlying cause of death (n = 3195; ICD-10 codes X40-X44, X60-X64, X85, and Y10-Y14) or psychoactive substance-related mental and behavioral disorders as one of multiple causes of death (n = 15,513; ICD-10 codes F10-F19). Proportional mortality ratios were calculated, comparing disaggregated Asian-American subgroups to the reference group (Asian Americans as a single aggregate group). Z-tests identified significant differences between subgroups. Compared to the reference group (0.99%), drug overdose deaths were less prevalent among Japanese (0.46%; p < 0.001), Chinese (0.47%; p < 0.001), and Filipino (0.82%; p < 0.001) subgroups, contrasting with a higher prevalence among Asian Indian (1.20%; p < 0.001), Vietnamese (1.35%; p < 0.001), Korean (1.36%; p < 0.001), and other Asian (1.79%; p < 0.001) subgroups. Similarly, compared to the reference group (4.80%), deaths from mental and behavioral disorders were less prevalent among Chinese (3.18%; p < 0.001), Filipino (4.52%; p < 0.001), and Asian Indian (4.56%; p < 0.001) subgroups, while more prevalent among Korean (5.60%; p < 0.001), Vietnamese (5.64%; p < 0.001), Japanese (5.81%; p < 0.001), and other Asian (6.14%; p < 0.001) subgroups. Disaggregated data also revealed substantial geographical variations in these deaths obscured by aggregated analyses. Our findings revealed pronounced intra-racial disparities, underscoring the importance of data disaggregation to inform targeted clinical and public health interventions.
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