Differential COVID-19 preventive behaviors among Asian subgroups in the United States

Expert Rev Respir Med. 2023 Jul-Dec;17(11):1049-1059. doi: 10.1080/17476348.2023.2289527. Epub 2023 Dec 26.

Abstract

Background: Given the observed within-Asian disparity in COVID-19 incidence, we aimed to explore the differential preventive behaviors among Asian subgroups in the United States.

Methods: Based on data from the Asian subsample (N = 982) of the 2020 Health, Ethnicity, and Pandemic survey, we estimated the weighted proportion of noncompliance with Centers for Disease Control and Prevention (CDC) guidelines on preventive behaviors and COVID-19 testing by Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Other Asian). We examined these subgroup differences after adjusting for demographic factors and state-level clustering.

Results: Filipinos demonstrated the lowest rate of noncompliance for mask-wearing, social distancing, and handwashing. As compared with the Filipinos, our logistic models showed that the Chinese and the 'other Asians' subgroup had significantly higher risk of noncompliance with mask-wearing, while the Japanese, the Vietnamese, and other Asians were significantly more likely to report noncompliance with social distancing.

Conclusions: The significant variation of preventive behavior across Asian subgroups signals the necessity of data disaggregation when it comes to understanding the health behavior of Asian Americans, which is critical for future pandemic preparedness. The excess behavioral risk among certain Asian subgroups (especially those 'other Asians') warrants further investigation and interventions about the driving forces behind these disparities.

Keywords: Asian Americans; Covid-19; hand-washing; mask-wearing; mortality; social distancing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Asian*
  • COVID-19 Testing
  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Humans
  • Surveys and Questionnaires
  • United States / epidemiology