| Literature DB >> 31223233 |
Yang Wang1, Linnea Laestadius1, Jim P Stimpson2, Fernando A Wilson3.
Abstract
Despite a dramatic increase in e-cigarette popularity in recent years, the relationship between acculturation and e-cigarette use among immigrants largely remains unknown. We investigated the association between acculturation, measured by both self-reported English proficiency and length of stay in the United States, and immigrants' use of e-cigarettes using data from the 2016-2017 National Health Interview Survey. Multivariate logistic regressions were used to examine the associations of acculturation factors with ever and current use of e-cigarettes. We found that high English proficiency increased the odds of ever using e-cigarettes among immigrants (adjusted odds ratios: "well," 2.22; "very well," 3.24; with the reference group being "not well"). The association was significant among only men. However, we did not find a significant association between length of stay in the United States and e-cigarette use after adjusting for English proficiency. Future research is warranted to investigate how peer use, family-level factors, country of origin, and marketing strategies jointly influence e-cigarette use among immigrants, especially men.Entities:
Keywords: acculturation; electronic cigarettes (e-cigarettes); electronic nicotine delivery systems; female; immigrants; male; smoking; vaping
Year: 2019 PMID: 31223233 PMCID: PMC6566478 DOI: 10.1177/1178221819855086
Source DB: PubMed Journal: Subst Abuse ISSN: 1178-2218
Percentage distributions of sociodemographic, behavior, and health conditions for adult immigrants by e-cigarette use (NHIS 2016-2017).
| Never use (N = 7363) | Ever use (N = 591) | ||
|---|---|---|---|
| Length of stay in the United States (years) | |||
| 0-4 | 11.0 [9.8, 12.2] | 10.4 [7.4, 14.3] | .204 |
| 5-9 | 9.0 [8.1, 10.0] | 9.2 [6.0, 13.8] | |
| 10 and above | 80.0 [78.4, 81.5] | 80.5 [75.5, 84.6] | |
| English proficiency | |||
| Not well | 28.6 [26.7, 30.6] | 11.3 [7.7, 16.2] | <.001 |
| Well | 24.3 [22.9, 25.8] | 20.7 [16.3, 25.8] | |
| Very well | 47.1 [45.0, 49.1] | 68.1 [62.3, 73.3] | |
| Age | |||
| 18-29 | 14.1 [12.9, 15.4] | 31.2 [25.7, 37.3] | <.001 |
| 30-44 | 34.6 [33.0, 36.2] | 39.5 [34.3, 45.1] | |
| 45-64 | 36.2 [34.6, 37.9] | 25.1 [20.9, 29.9] | |
| 65- | 15.1 [14.0, 16.3] | 4.2 [2.6, 6.8] | |
| Sex | |||
| Male | 47.0 [45.4, 48.5] | 70.4 [65.4, 75.0] | <.001 |
| Female | 53.0 [51.5, 54.6] | 29.6 [25.0, 34.6] | |
| Race/ethnicity | |||
| Non-Hispanic White | 17.9 [16.4, 19.5] | 31.7 [27.0, 36.8] | <.001 |
| Hispanic | 47.2 [44.3, 50.1] | 40.0 [33.7, 46.7] | |
| Non-Hispanic Black | 9.2 [8.0, 10.5] | 6.5 [3.8, 10.8] | |
| Non-Hispanic Asian | 25.1 [23.2, 27.1] | 21.1 [16.8, 26.0] | |
| Non-Hispanic other | 0.6 [0.4, 0.9] | 0.8 [0.3, 1.8] | |
| Marital status | |||
| Non-married | 35.4 [33.7, 37.1] | 54.5 [49.3, 59.6] | <.001 |
| Married | 64.6 [62.9, 66.3] | 45.5 [40.4, 50.7] | |
| Educational attainment | |||
| Less than high school | 24.8 [23.0, 26.7] | 15.2 [11.4, 20.1] | <.001 |
| High school | 21.9 [20.4, 23.4] | 19.9 [16.3, 24.0] | |
| College | 39.4 [37.7, 41.2] | 54.9 [49.1, 60.5] | |
| Graduate | 13.9 [12.6, 15.4] | 10.0 [7.5, 13.4] | |
| Poverty status (%FPL) | |||
| Below 100 | 17.1 [15.9, 18.5] | 12.3 [9.1, 16.4] | .004 |
| 100-199 | 24.6 [23.1, 26.2] | 19.7 [15.6, 24.6] | |
| 200 and above | 58.2 [56.1, 60.3] | 68.0 [62.6, 72.9] | |
| Cigarette smoking status | |||
| Non-smoker | 78.7 [77.4, 79.9] | 30.2 [25.4, 35.6] | <.001 |
| Current smoker | 6.2 [5.5, 7.0] | 42.8 [37.6, 48.1] | |
| Former smoker | 15.1 [14.0, 16.3] | 27.0 [22.8, 31.7] | |
| Asthma | |||
| No | 92.2 [91.4, 93.0] | 89.1 [85.9, 91.7] | .029 |
| Yes | 7.8 [7.0, 8.7] | 10.9 [8.3, 14.2] | |
Abbreviations: FPL, federal poverty line; NHIS, National Health Interview Survey.
E-cigarette ever use includes both current use and prior use.
Multivariate logistic regression estimates of e-cigarette ever and current use among immigrant adults in the United States (NHIS 2016-2017).
| Ever use | Current use | |
|---|---|---|
| Length of stay in the United States (years) | ||
| 0-4 | Ref | Ref |
| 5-9 | 1.16 [0.60, 2.26] | 0.48 [0.08, 2.96] |
| 10 and above | 1.56 [0.95, 2.56] | 2.49 [0.72, 8.60] |
| English proficiency | ||
| Not well | Ref | Ref |
| Well | 2.22 | 0.72 [0.24, 2.13] |
| Very well | 3.24 | 1.38 [0.54, 3.52] |
| Age | ||
| 18-29 | Ref | Ref |
| 30-44 | 0.40 | 0.48 [0.22, 1.02] |
| 45-64 | 0.18 | 0.28 |
| 65- | 0.08 | 0.04 |
| Sex | ||
| Male | Ref | Ref |
| Female | 0.65 | 0.57 [0.31, 1.05] |
| Race/ethnicity | ||
| Non-Hispanic White | Ref | Ref |
| Hispanic | 0.77 [0.54, 1.11] | 0.57 [0.25, 1.30] |
| Non-Hispanic Black | 0.51 | 0.75 [0.12, 4.72] |
| Non-Hispanic Asian | 0.7 [0.50, 1.00] | 1.09 [0.53, 2.25] |
| Non-Hispanic other | 0.52 [0.15, 1.81] | 1.03 [0.06, 17.6] |
| Marital status | ||
| Non-married | Ref | Ref |
| Married | 0.60 | 0.52 |
| Educational attainment | ||
| Less than high school | Ref | Ref |
| High school | 0.98 [0.60, 1.62] | 1.05 [0.42, 2.61] |
| College | 1.36 [0.76, 2.42] | 1.75 [0.57, 5.41] |
| Graduate | 0.83 [0.44, 1.55] | 1.45 [0.39, 5.41] |
| Poverty status (%FPL) | ||
| Below 100 | Ref | Ref |
| 100-199 | 1.14 [0.69, 1.86] | 2.29 [0.84, 6.23] |
| 200 and above | 1.55 | 0.86 [0.35, 2.14] |
| Cigarette smoking status | ||
| Non-smoker | Ref | Ref |
| Current smoker | 23.30 | 20.90 |
| Former smoker | 6.51 | 11.80 |
| Asthma | ||
| No | Ref | Ref |
| Yes | 1.19 [0.83, 1.70] | 1.94 [0.95, 3.96] |
Abbreviations: FPL, federal poverty line; NHIS, National Health Interview Survey.
P < .05; **P < .01; ***P < .001.
Figure 1.The predicted probability of e-cigarette ever use by sex and English language proficiency (NHIS 2016-2017). NHIS indicates National Health Interview Survey.