| Literature DB >> 34756629 |
Sara M Kalkhoran1, Douglas E Levy2, Nancy A Rigotti3.
Abstract
INTRODUCTION: With concerns about tobacco use being a risk factor for severe disease from COVID-19, understanding nicotine- and tobacco-use patterns is important for preventive efforts. This study aims to understand changes in combustible cigarette and E-cigarette use among U.S. adults.Entities:
Mesh:
Year: 2021 PMID: 34756629 PMCID: PMC8492610 DOI: 10.1016/j.amepre.2021.08.018
Source DB: PubMed Journal: Am J Prev Med ISSN: 0749-3797 Impact factor: 5.043
Characteristics of Individuals Reporting Past 6‒Month Cigarette Smoking or E-Cigarette Use
| Variables | Past 6‒month smokers ( | Past 6‒month E-cigarette users ( |
|---|---|---|
| % (n) | % (n) | |
| Age in years, mean (SD) | 45 (1.0) | 36 (0.8) |
| Female | 54 (350) | 43 (233) |
| Race/ethnicity | ||
| Non-Hispanic White | 66 (466) | 57 (288) |
| Non-Hispanic Black | 11 (100) | 15 (88) |
| Hispanic | 15 (69) | 22 (95) |
| Other | 8 (53) | 7 (36) |
| Level of education | ||
| High school or less | 53 (215) | 51 (153) |
| Some college | 27 (340) | 29 (228) |
| 4-year degree or more | 19 (133) | 20 (126) |
| Region | ||
| Northeast | 18 (116) | 13 (68) |
| Midwest | 25 (212) | 20 (136) |
| South | 38 (220) | 42 (156) |
| West | 18 (140) | 26 (147) |
| Cigarette smoking | ||
| Past 6‒month cigarette smoking | 100 (688) | 34 (171) |
| Current cigarette smoking | 81 (553) | 27 (128) |
| Current daily cigarette smoking | 56 (393) | 18 (80) |
| E-cigarette use | ||
| Past 6‒month E-cigarette use | 29 (171) | 100 (507) |
| Current E-cigarette use | 21 (124) | 67 (336) |
| Current daily E-cigarette use | 6 (39) | 17 (95) |
| Duration of cigarette smoking (current users) | 22 years (0.9) | 16 years (1.4) |
| Duration of E-cigarette use (current users) | 2.5 years (0.3) | 2 years (0.1) |
| Total stress score (0‒16), mean (SD) | 6.5 (0.2) | 6.9 (0.2) |
| COVID-19 affected finances | 67 (436) | 77 (378) |
| Have had to use savings | 29 (187) | 30 (149) |
| Had to borrow money/get loan | 21 (121) | 20 (94) |
| Could not make bill payments | 20 (116) | 23 (107) |
| Cut down on spending on food | 27 (182) | 32 (154) |
| Needed to cut down on expenses in general | 45 (303) | 40 (208) |
| Mean number of finances affected | 1.4 (0.1) | 1.4 (0.1) |
| Worry about financial problems (1—not at all, 5—very much) | 2.8 (0.1) | 2.9 (0.1) |
| COVID-19 affected work hours | ||
| Lost job | 13 (79) | 14 (82) |
| Yes, working less | 14 (83) | 22 (91) |
| Yes, working more | 7 (35) | 11 (47) |
| No, working the same | 33 (240) | 34 (168) |
| No, not working before COVID-19 | 33 (248) | 19 (112) |
| Tested for COVID-19 | 27 (135) | 38 (171) |
| Diagnosed with COVID-19 | 2 (11) | 8 (34) |
Groups are not mutually exclusive.
Figure 1Change in cigarette smoking and E-cigarette use since the onset of the COVID-19 pandemic. (A) Cigarette smoking behaviors among past 6‒month cigarette smokers who reported having smoked cigarettes since hearing about COVID-19. (B) E-cigarette use among past 6‒month E-cigarette users who reported having used E-cigarettes since hearing about COVID-19.
Predictors of Increased Cigarette Smoking or E-Cigarette Use Due to COVID-19
| Variables | Increased cigarette smoking owing to COVID-19 ( | Increased E-cigarette use owing to COVID-19 ( | ||
|---|---|---|---|---|
| OR (95% CI) | AOR | OR (95% CI) | AOR | |
| Age | 0.99 (0.97, 1.01) | 1.01 (0.99, 1.03) | 1.01 (0.99, 1.03) | |
| Female | 1.15 (0.68, 1.95) | 1.09 (0.66, 1.81) | 1.79 (0.99, 3.23) | |
| White race | 0.70 (0.40, 1.23) | 0.89 (0.52, 1.54) | 0.84 (0.47, 1.51) | 0.97 (0.54, 1.75) |
| Education | ||||
| High school or less | 1.69 (0.91, 3.15) | 1.13 (0.59, 2.17) | 0.58 (0.28, 1.18) | 0.60 (0.27, 1.33) |
| Some college | 1.18 (0.67, 2.09) | 0.78 (0.41, 1.47) | 0.88 (0.47, 1.66) | 0.69 (0.31, 1.50) |
| 4-year degree or more | ref | ref | ref | ref |
| Region of residence | ||||
| Northeast | ref | ref | ref | ref |
| Midwest | 1.13 (0.61, 2.12) | 1.15 (0.56, 2.35) | ||
| South | 0.54 (0.28, 1.04) | 0.48 (0.22, 1.05) | ||
| West | 1.19 (0.50, 2.86) | 0.89 (0.39, 2.02) | 0.61 (0.25, 1.48) | 0.56 (0.23, 1.38) |
| Past 6‒month cigarette smoking | — | — | 1.13 (0.62, 2.09) | 1.23 (0.65, 2.33) |
| Past 6‒month E-cigarette use | 1.23 (0.71, 2.12) | 1.19 (0.67, 2.13) | — | — |
| Total stress score (0‒16) | 1.09 (0.99, 1.20) | |||
| Worry about financial problems (1—not at all, 5—very much) | 1.14 (0.90, 1.43) | — | ||
| COVID-19 affected work hours | ||||
| Working less | 1.28 (0.69, 2.36) | 1.82 (0.96, 3.42) | ||
| Working more | 0.61 (0.23, 1.62) | 0.70 (0.26, 1.89) | ||
| No change | ref | ref | ref | ref |
| Perceived risk of COVID-19 from smoking/E-cigarette use (1—definitely decreases, 5—definitely increases) | 1.19 (0.93, 1.53) | — | 1.28 (0.91, 1.78) | |
Note: Boldface indicates statistical significance (p<0.05).
Variables denoted with — were not included in multivariable models. All other variables were adjusting covariates.
Predictors of Trying to Quit Cigarette Smoking or E-Cigarette Use Due to COVID-19
| Variables | Tried to quit cigarette smoking because of COVID-19 ( | Tried to quit E-cigarette use because of COVID-19 ( | ||
|---|---|---|---|---|
| OR (95% CI) | AOR | OR (95% CI) | AOR | |
| Age | 1.00 (0.98, 1.02) | 0.99 (0.97, 1.02) | 0.99 (0.96, 1.02) | |
| Female | 1.05 (0.62, 1.80) | 1.48 (0.83, 2.62) | 1.24 (0.68, 2.25) | 1.35 (0.63, 2.89) |
| White race | 0.61 (0.34, 1.08) | 0.63 (0.35, 1.14) | 0.63 (0.34, 1.15) | 0.75 (0.33, 1.73) |
| Education | ||||
| High school or less | 1.14 (0.59, 2.20) | 2.34 (0.95, 5.75) | 1.25 (0.60, 2.58) | 1.74 (0.69, 4.37) |
| Some college | 0.97 (0.53, 1.78) | 1.69 (0.71, 4.03) | 0.72 (0.36, 1.44) | 0.75 (0.31, 1.80) |
| 4-year degree or more | ref | ref | ref | ref |
| Region of residence | ||||
| Northeast | ref | ref | ref | ref |
| Midwest | 1.66 (0.83, 3.29) | 2.19 (1.03, 4.66) | 0.75 (0.30, 1.86) | 0.62 (0.20, 1.93) |
| South | 1.89 (0.96, 3.69) | 1.94 (0.87, 4.35) | 0.82 (0.34, 2.01) | 0.67 (0.22, 2.06) |
| West | 1.44 (0.52, 3.94) | 1.41 (0.51, 3.87) | 1.01 (0.40, 2.54) | 0.71 (0.20, 2.49) |
| Past 6‒month cigarette smoking | — | — | 0.59 (0.31, 1.13) | |
| Past 6‒month E-cigarette use | 1.73 (0.95, 3.15) | 1.68 (0.76, 3.69) | — | — |
| Duration of cigarette smoking | — | — | ||
| Duration of E-cigarette use | 0.93 (0.75, 1.14) | — | ||
| Daily cigarette smoking | — | — | ||
| Daily E-cigarette use | — | — | ||
| Total stress score (0‒16) | 1.02 (0.96, 1.09) | — | 1.09 (0.99, 1.20) | 1.05 (0.92, 1.19) |
| Worry about financial problems (1—not at all, 5—very much) | 1.12 (0.93, 1.34) | — | 1.19 (0.95, 1.51) | 0.99 (0.71, 1.37) |
| COVID-19 affected work hours | — | |||
| Working less | 1.21 (0.65, 2.26) | — | 1.67 (0.87, 3.17) | 1.32 (0.55, 3.15) |
| Working more | 1.18 (0.32, 4.33) | — | 1.34 (0.50, 3.60) | 0.99 (0.32, 3.09) |
| No change | ref | — | ref | ref |
| Perceived risk of COVID-19 from smoking/E-cigarette use (1—definitely decreases, 5—definitely increases) | ||||
Note: Boldface indicates statistical significance (p<0.05).
Variables denoted with — were not included in multivariable models. All other variables were adjusting covariates.