Asian American adolescent e-cigarette use and associated protective factors: Heterogeneity in a statewide sample.

• Disaggregating e-cigarette use by Asian ethnicity shows significant heterogeneity. • Asian adolescents with more developmental assets are less likely to use e-cigs. • Anti-smoking peers and positive teacher engagement may also reduce e-cig use. This study characterized variation in e-cigarette use patterns and related protective factors by ethnicity among Asian American adolescents. Multivariable logistic regressions modelled associations between ethnic group, 6 protective factors (college aspirations, internal developmental assets, positive teacher engagement, family caring, and peer and parent anti-smoking norms), and past 30-day e-cigarette use, adjusting for covariates among 10,482 8th, 9th, and 11th grade Asian American respondents to the 2019 Minnesota Student Survey. Interaction terms (protective factor × ethnic group) were used in 6 subsequent regression models to examine whether the association between each protective factor and e-cigarette use differed as a function of ethnic group. Respondents included 9.0% Indian, 0.3% Burmese, 7.9% Chinese, 2.5% Filipino, 25.0% Hmong, 3.2% Karen, 4.6% Korean, 2.7% Laotian, 8.2% Vietnamese, 7.5% other, 7.5% multi-ethnic, and 21.6% multi-racial adolescents. E-cigarettes were the predominant form of tobacco use. Laotian and multi-racial groups reported the highest e-cigarette use (16.6% and 16.3%), whereas Chinese and Asian Indians reported the lowest (4.7% and 5.0%). Strong peer anti-smoking norms, higher internal developmental assets scores, and positive teacher engagement were associated with lower odds of e-cigarette use across groups, with significant interactions for internal developmental assets by ethnicity. E-cigarettes are the most prevalent tobacco product used by Asian adolescents in Minnesota, with notable heterogeneity by ethnicity. While most established protective factors appeared to function similarly for Asian adolescents, others differed, underscoring the importance of disaggregating data by ethnicity to inform the tailoring of prevention and control strategies for these ethnic groups. [ABSTRACT FROM AUTHOR]