INTRODUCTION: This research uses the Lopez stage of tobacco epidemic model to evaluate post-immigration smoking behavior. Stage is a composite measure of tobacco norms of a country: smoking prevalence, cigarette consumption, and tobacco-related morbidity. The Lopez model characterizes the changing relationship between smoking prevalence and tobacco-related mortality and morbidity as a country progresses through the 4 successive stages of the tobacco epidemic. METHODS: Survey data from Southeast Asian and Latino immigrants (from stage 1 and stage 2 countries) (n = 2,076) were used to evaluate stage of tobacco epidemic of country of emigration. Stage was compared with standard acculturation measures and community identification measures to understand post-immigration smoking behavior in the United States. Comparative analysis by stage and gender includes bivariate associations and logistic regression models to predict post-immigration smoking behavior. RESULTS: Males:Pre-immigration prevalence and consumption rates of our study sample conform to prevalence and consumption of stage 1 and stage 2 countries predicted by the Lopez model. Post-immigration smoking uptake is equivalent to pre-immigration uptake for stage 1 males. The uptake rate for stage 2 males post-immigration is significantly lower (22.1%) than pre-immigration uptake (41.4%). Stage is a statistically significant predictor of post-immigration smoking uptake (OR = 3.08, CI = 1.82-5.22, p < .01). Females:Stage of country of birth is not significantly predictive of post-migration smoking uptake. CONCLUSIONS: The finding of stage to be a strong predictor of post-immigration smoking behavior among males provides a promising measurement tool. Prevalence and consumption of females in our study sample support the need for revisions to the stage model.
INTRODUCTION: This research uses the Lopez stage of tobacco epidemic model to evaluate post-immigration smoking behavior. Stage is a composite measure of tobacco norms of a country: smoking prevalence, cigarette consumption, and tobacco-related morbidity. The Lopez model characterizes the changing relationship between smoking prevalence and tobacco-related mortality and morbidity as a country progresses through the 4 successive stages of the tobacco epidemic. METHODS: Survey data from Southeast Asian and Latino immigrants (from stage 1 and stage 2 countries) (n = 2,076) were used to evaluate stage of tobacco epidemic of country of emigration. Stage was compared with standard acculturation measures and community identification measures to understand post-immigration smoking behavior in the United States. Comparative analysis by stage and gender includes bivariate associations and logistic regression models to predict post-immigration smoking behavior. RESULTS: Males:Pre-immigration prevalence and consumption rates of our study sample conform to prevalence and consumption of stage 1 and stage 2 countries predicted by the Lopez model. Post-immigration smoking uptake is equivalent to pre-immigration uptake for stage 1 males. The uptake rate for stage 2 males post-immigration is significantly lower (22.1%) than pre-immigration uptake (41.4%). Stage is a statistically significant predictor of post-immigration smoking uptake (OR = 3.08, CI = 1.82-5.22, p < .01). Females:Stage of country of birth is not significantly predictive of post-migration smoking uptake. CONCLUSIONS: The finding of stage to be a strong predictor of post-immigration smoking behavior among males provides a promising measurement tool. Prevalence and consumption of females in our study sample support the need for revisions to the stage model.
Authors: Christina M Parrinello; Carmen R Isasi; Xiaonan Xue; Frank C Bandiera; Jianwen Cai; David J Lee; Elena L Navas-Nacher; Krista M Perreira; Hugo Salgado; Robert C Kaplan Journal: Am J Public Health Date: 2014-10-16 Impact factor: 9.308
Authors: Sol P Juárez; Helena Honkaniemi; Nina-Katri Gustafsson; Mikael Rostila; Lisa Berg Journal: Int J Public Health Date: 2022-08-05 Impact factor: 5.100
Authors: Diana J Burgess; Jeremiah Mock; Barbara A Schillo; Jessie E Saul; Tam Phan; Yanat Chhith; Nina Alesci; Steven S Foldes Journal: BMC Public Health Date: 2014-08-04 Impact factor: 3.295