| Literature DB >> 33915781 |
Sunday Azagba1, Lingpeng Shan1.
Abstract
Evidence suggests that as immigrants' length of residence in the host country increases, they may integrate their behavior and norms to align with the new community's cultural norms. The current study examined e-cigarette use among immigrants in the U.S., and whether the length of residence in the U.S. is associated with e-cigarette use among immigrants compared to the native-born population. Data were drawn from the 2014/15 and 2018/19 Tobacco Use Supplement to the Current Population Survey. Multivariable logistic regression was used to compare differences in e-cigarette use between native-born populations and immigrants, when immigrants' length of residence in the U.S. was considered. Among immigrants, the prevalence of ever and current e-cigarette use increased significantly from 2.5% and 0.5% in 2014/2015 to 3.2% and 0.8% in 2018/2019, respectively. Multivariable analysis showed that immigrants had significantly lower odds of ever e-cigarette use compared to the mainland-born citizen (0-5 years in the U.S., adjusted Odds Ratio (aOR) 0.57, 95% Confidence Interval (CI) 0.46-0.69; 6-10 years, aOR 0.51, 95% CI 0.41-0.63; 11-20 years, aOR 0.45, 95% CI 0.39-0.53; 20+years, aOR 0.68, 95% CI 0.62-0.76). Similar results were found for current e-cigarette use, with immigrants being less likely to be current users. Findings that e-cigarette use among all immigrants-regardless of years living in the U.S.-was consistently lower than among the native-born population run contrary to the notion that as length of stay increases, health behaviors between immigrants and native populations of the host country become similar.Entities:
Keywords: acculturation; e-cigarette use; immigrants; length of residence; native-born
Mesh:
Year: 2021 PMID: 33915781 PMCID: PMC8036267 DOI: 10.3390/ijerph18073658
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Sample characteristics of all selected immigrants in the 2014/2015 and 2018/2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS)
| Characteristics | Full Sample | E-Cigarette Ever User | E-Cigarette Never User |
|---|---|---|---|
| N | 35,642 | 1005 | 34,208 |
| Age | |||
| 18–24 | 6.9(6.5, 7.3) | 14.6(11.3, 17.9) | 6.6(6.2, 7.1) |
| 25–34 | 21.0(20.5, 21.5) | 35.0(31.4, 38.6) | 20.6(20.1, 21.1) |
| 35–44 | 22.7(22.2, 23.2) | 22.4(19.5, 25.3) | 22.8(22.3, 23.3) |
| 45–54 | 20.3(19.8, 20.8) | 15.1(12.7, 17.5) | 20.5(20.0, 21.0) |
| 55+ | 29.1(28.6, 29.6) | 12.9(10.7, 15.1) | 29.5(28.9, 30.0) |
| Sex | |||
| Male | 49.2(48.6, 49.8) | 71.8(68.7, 75.0) | 48.3(47.7, 49.0) |
| Female | 50.8(50.2, 51.4) | 28.2(25.0, 31.3) | 51.7(51.0, 52.3) |
| Race | |||
| Non-Hispanic white | 17.4(17.0, 17.8) | 33.4(30.1, 36.7) | 16.8(16.4, 17.3) |
| Non-Hispanic black | 8.7(8.3, 9.0) | 5.5(3.6, 7.3) | 8.8(8.4, 9.1) |
| Hispanic | 45.8(45.2, 46.4) | 32.5(28.9, 36.1) | 46.2(45.6, 46.9) |
| Non-Hispanic other | 28.1(27.6, 28.7) | 28.7(25.2, 32.2) | 28.2(27.6, 28.7) |
| Employment status | |||
| Full-time | 55.0(54.4, 55.6) | 64.0(60.3, 67.7) | 54.8(54.2, 55.4) |
| Part-time | 9.7(9.4, 10.1) | 12.6(10.0, 15.3) | 9.6(9.3, 10.0) |
| Unemployed | 3.4(3.2, 3.6) | 4.3(2.8, 5.8) | 3.3(3.1, 3.6) |
| Not in labor force | 31.9(31.4, 32.5) | 19.1(16.0, 22.1) | 32.2(31.7, 32.8) |
| Income | |||
| USD <25,000 | 25.3(24.8, 25.8) | 22.9(19.7, 26.1) | 25.3(24.8, 25.9) |
| USD 25,000–50,000 | 28.0(27.5, 28.6) | 25.2(22.0, 28.5) | 28.1(27.5, 28.7) |
| USD >50,000 | 46.7(46.1, 47.3) | 51.9(48.2, 55.6) | 46.6(46.0, 47.2) |
| Educational attainment | |||
| Some high school or less | 24.1(23.6, 24.6) | 11.0(8.6, 13.5) | 24.4(23.9, 25.0) |
| High school graduate or GED | 24.5(24.0, 25.1) | 20.0(16.9, 23.1) | 24.7(24.1, 25.2) |
| Some college or associate’s degree | 18.9(18.4, 19.4) | 30.8(27.3, 34.4) | 18.6(18.1, 19.1) |
| At least a bachelor’s degree | 32.4(31.8, 33.0) | 38.2(34.6, 41.8) | 32.3(31.7, 32.9) |
| Other tobacco product use | |||
| Yes | 13.7(13.3, 14.1) | 79.0(76.0, 82.0) | 11.6(11.2, 12.0) |
| No | 86.3(85.9, 86.7) | 21.0(18.0, 24.0) | 88.4(88.0, 88.8) |
| Years in U.S. | |||
| 0–5 | 12.3(11.9, 12.7) | 16.6(13.8, 19.4) | 12.2(11.7, 12.6) |
| 6–10 | 14.0(13.5, 14.4) | 15.9(12.8, 19.0) | 14.0(13.5, 14.4) |
| 11–20 | 29.0(28.5, 29.6) | 27.9(24.5, 31.2) | 29.1(28.5, 29.7) |
| 20+ | 44.7(44.1, 45.3) | 39.6(36.1, 43.2) | 44.8(44.2, 45.4) |
| Survey year | |||
| 2014–2015 | 48.0(47.4, 48.6) | 41.4(37.9, 45.0) | 48.2(47.6, 48.8) |
| 2018–2019 | 52.0(51.4, 52.6) | 58.6(55.0, 62.1) | 51.8(51.2, 52.4) |
All variables are presented as weighted percentages; Rao–Scott chi-square tests were used to compare characteristics between the two groups (p < 0.01). GED: General Educational Development.
Estimated prevalence of e-cigarette ever and current use in immigrants since 2014
| E-Cigarette Ever Use | E-Cigarettes Current Use | |||||
|---|---|---|---|---|---|---|
| 2014–2015 | 2018–2019 | Change% | 2014–2015 | 2018–2019 | Change% | |
| Full Sample | 2.52(488) | 3.29(517) | 30.43 * | 0.49(106) | 0.76(117) | 56.99 * |
| Age | ||||||
| 18–24 | 5.51(49) | 6.95(43) | 26.16 | 0.41(6) | 2.27(15) | 447.14 * |
| 25–34 | 3.73(153) | 5.94(186) | 59.09 * | 0.67(27) | 1.38(42) | 107.34 * |
| 35–44 | 2.20(113) | 3.52(135) | 60.02 * | 0.46(25) | 0.82(30) | 76.61 |
| 45–54 | 2.21(91) | 2.13(75) | −3.71 | 0.49(23) | 0.40(17) | −18.77 |
| 55+ | 1.28(82) | 1.32(78) | 3.73 | 0.38(25) | 0.23(13) | −39.77 |
| Sex | ||||||
| Male | 3.66(325) | 4.85(352) | 32.61 | 0.68(71) | 1.20(86) | 76.75 * |
| Female | 1.44(163) | 1.78(165) | 23.13 | 0.30(35) | 0.34(31) | 11.62 |
| Race | ||||||
| Non-Hispanic white | 5.16(209) | 6.07(194) | 17.78 | 1.01(47) | 1.32(43) | 30.26 |
| Non-Hispanic black | 1.34(21) | 2.25(30) | 67.13 | 0.24(4) | 0.58(8) | 143.51 |
| Hispanic | 1.66(129) | 2.46(150) | 47.76 * | 0.32(28) | 0.61(30) | 90.27 * |
| Non-Hispanic other | 2.62(129) | 3.29(143) | 25.40 | 0.50(27) | 0.74(36) | 47.15 |
| Employment status | ||||||
| Full-time | 2.75(298) | 3.95(358) | 43.34 * | 0.61(73) | 0.99(85) | 63.40 * |
| Part-time | 3.46(68) | 4.14(53) | 19.60 | 0.52(13) | 0.67(11) | 28.03 |
| Unemployed | 3.47(22) | 4.05(18) | 16.62 | 0.49(4) | 0.74(3) | 50.60 |
| Not in labor force | 1.73(100) | 1.77(88) | 1.87 | 0.28(16) | 0.37(18) | 35.00 |
| Income | ||||||
| USD <25,000 | 2.56(136) | 2.76(95) | 7.70 | 0.31(20) | 0.70(23) | 123.72 * |
| USD 25,000–50,000 | 2.33(124) | 2.92(115) | 25.23 | 0.55(30) | 0.71(27) | 28.86 |
| USD >50,000 | 2.63(228) | 3.71(307) | 41.10 * | 0.56(56) | 0.81(67) | 45.37 |
| Educational attainment | ||||||
| Some high school or less | 1.39(60) | 1.29(43) | −6.82 | 0.21(11) | 0.38(10) | 86.08 |
| High school graduate or GED | 1.94(91) | 2.78(99) | 43.24 * | 0.52(24) | 0.69(23) | 31.93 |
| Some college or associate‘s degree | 4.64(154) | 4.88(135) | 5.12 | 0.95(35) | 1.16(34) | 22.37 |
| At least a bachelor’s degree | 2.67(171) | 4.07(219) | 52.27 * | 0.42(32) | 0.81(43) | 91.87 * |
| Other tobacco product use | ||||||
| Yes | 15.08(410) | 18.97(387) | 25.83 * | 2.70(86) | 4.12(80) | 52.64 * |
| No | 0.46(78) | 0.93(129) | 102.82 * | 0.12(20) | 0.25(36) | 104.55 * |
| Years in U.S. | ||||||
| 0–5 | 3.62(75) | 4.21(79) | 16.54 | 0.62(13) | 1.03(16) | 66.36 |
| 6–10 | 2.40(67) | 4.27(78) | 78.18 * | 0.34(11) | 1.31(19) | 284.66 * |
| 11–20 | 2.39(128) | 3.20(139) | 33.41 | 0.31(22) | 0.72(36) | 132.16 * |
| 20+ | 2.35(218) | 2.81(221) | 19.35 * | 0.62(60) | 0.56(46) | −10.10 |
The prevalence of e-cigarette ever and current use was estimated using survey weights. The presented count n was unweighted; * Change% was statistically significant at p < 0.05.
Association between years spent in the U.S. and e-cigarette ever and current use
| E-Cigarette Ever Use | E-Cigarettes Current Use | |
|---|---|---|
| Years in U.S. | ||
| Mainland-born | Ref | ref |
| 0–5 |
|
|
| 6–10 |
|
|
| 11–20 |
|
|
| 20+ |
|
|
| Age | ||
| 18–24 |
|
|
| 25–34 |
|
|
| 35–44 |
|
|
| 45–54 |
|
|
| 55+ | ref | Ref |
| Sex | ||
| Male |
|
|
| Female | ref | Ref |
| Race | ||
| Non-Hispanic white | ref | Ref |
| Non-Hispanic black |
|
|
| Hispanic |
|
|
| Non-Hispanic other | 1.07(0.98, 1.17) | 0.97(0.83, 1.13) |
| Employment status | ||
| Full-time | ref | Ref |
| Part-time |
|
|
| Unemployed |
|
|
| Not in labor force | 0.93(0.88, 0.98) | 0.95(0.87, 1.04) |
| Income | ||
| USD <25,000 | ref | Ref |
| USD 25,000–50,000 |
| 0.97(0.88, 1.05) |
| USD >50,000 |
|
|
| Educational attainment | ||
| Some high school or less | ref | Ref |
| High school graduate or GED |
| 1.11(0.98, 1.25) |
| Some college or associate‘s degree |
| 1.10(0.97, 1.24) |
| At least a bachelor’s degree |
|
|
| Other tobacco product use | ||
| Yes |
|
|
| No | ref | Ref |
| Survey year | ||
| 2014–2015 | ref | Ref |
| 2018–2019 |
|
|
Significant odds ratios (p < 0.05) are presented in boldface.
Association between years spent in the U.S. and e-cigarette use by sex
| E-Cigarette Ever Use | |||
|---|---|---|---|
| Years in U.S. | Baseline Model | Male | Female |
| Mainland-born | Ref | Ref | ref |
| 0–5 |
|
|
|
| 6–10 |
|
|
|
| 11–20 |
|
|
|
| 20+ |
|
|
|
|
| |||
| Years in U.S. | Baseline Model | Male | Female |
| Mainland-born | Ref | Ref | Ref |
| 0–5 |
|
|
|
| 6–10 |
| 0.72(0.44, 1.17) | * |
| 11–20 |
|
|
|
| 20+ |
|
|
|
Significant odds ratios (p < 0.05) were presented in boldface. * Small cell size.