| Literature DB >> 34100230 |
Nancy A Rigotti1,2, Yuchiao Chang3,4, Susan Regan3,4, Scott Lee5,6, Jennifer H K Kelley3, Esa Davis7, Douglas E Levy3,4, Daniel E Singer3,4, Hilary A Tindle5,8.
Abstract
BACKGROUND: Cigarette smoking is a risk factor for severe COVID-19 disease. Understanding smokers' responses to the pandemic will help assess its public health impact and inform future public health and provider messages to smokers.Entities:
Keywords: COVID-19; cigarette smoking; electronic cigarettes; risk perceptions
Mesh:
Year: 2021 PMID: 34100230 PMCID: PMC8183588 DOI: 10.1007/s11606-021-06913-3
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 5.128
Characteristics of the Survey Respondents (n=694)
| n | % | |
|---|---|---|
| Collected at enrollment in the Helping HAND 4 studya | ||
| Age (mean years, SD)b | 52 (±12) | |
| Sex (n, %)b | ||
| Male | 280 | 40 |
| Female | 414 | 60 |
| Race/ethnicity (n, %)b | ||
| White non-Hispanic | 543 | 78 |
| Black non-Hispanic | 98 | 14 |
| Hispanic | 42 | 6 |
| Other | 11 | 2 |
| Education (n, %)b | ||
| ≤ High school graduation or GED | 368 | 53 |
| Some college | 225 | 32 |
| College graduate | 101 | 15 |
| Study site (n, %)b | ||
| MA | 270 | 39 |
| PA | 183 | 26 |
| TN | 241 | 35 |
| Current (past 7-day) cigarette smoker | 694 | 100 |
| Years smokedc (mean, SD) | 35 (± 13) | |
| Cigarettes/dayc (mean, SD) | 16 (± 11) | |
| Current (past 7-day) electronic cigarette user | 46 | 7 |
| Collected at time of COVID-19 survey administration | ||
| Tobacco use status (in January 2020, pre-COVID-19)d | ||
| Current (past 7-day) cigarette smoker | 427 | 62 |
| Current (past 7-day) e-cigarette user | 48 | 7 |
| Neither cigarettes nor e-cigarettes | 238 | 34 |
| Declined | 12 | 2 |
| Tobacco use status (at time of survey during COVID-19)e | ||
| Current (past 7-day) cigarette smoker | 457 | 66 |
| Current (past 7-day) e-cigarette user | 46 | 6 |
| Neither cigarettes nor e-cigarettes | 214 | 31 |
| Declined | 7 | 1 |
| Collected at enrollment in the Helping HAND 4 studya | ||
| COVID-19 history | ||
| Tested positive | 5 | <1 |
| Told by health provider that I had COVID-19 | 13 | 2 |
| Believe I had COVID infection | 63 | 9 |
| Household/close contact had COVID-19 infection | 35 | 5 |
| COVID-19 exposure/illness (any of the four above) | 95 | 14 |
| Stress — overall level of stress (mean, SD)f | 3.6 (± 1.2) | |
| Financial concerns | ||
| Worry about financial problems (mean, SD)f | 3.4 (±1.4) | |
| Effect of COVID-19 pandemic on income | ||
| Decreased | 305 | 44 |
| Increased | 48 | 7 |
| No change | 317 | 46 |
| Decline to answer | 24 | 3 |
| Financial hardship due to COVID-19 pandemic | ||
| Had to use savings | 194 | 28 |
| Had to borrow money or take out loan | 172 | 25 |
| Could not make credit card or bill payments | 165 | 24 |
aEnrollment into the parent Helping HAND 4 survey occurred a mean (± SD) of 12 ± 5 months before administration of the COVID-19 supplemental survey
bDemographic factors and study site were assessed at enrollment into the parent Helping HAND 4 survey. For multivariate modeling, age was corrected to age at administration of supplemental COVID-19 survey
cYears smoked and cigarettes/day were assessed at HH4 study enrollment. They were not included as a variable in multivariate modeling because of potential change before administration of the supplemental survey
dRetrospectively reported
eSurvey administered between May 18 and July 16, 2020
fScale range 0–5, where 1 = none, 5 = the most I ever had
Figure 1Respondents' perceived risk of COVID-19 illness due to smoking and perceived benefit of quitting smoking on COVID-19 risk.
Factors Associated with Perceived Risk of Smoking and COVID-19 Infection or Severity. Multiple Logistic Regression Analysis
| Smoking increases risk of COVID-19 infection or severitya | Stopping smoking reduces risk of COVID-19 infection or severitya | |||||
|---|---|---|---|---|---|---|
| AOR (95% CI)b | P value | AOR (95% CI)b | P value | |||
| Smoking status (past 7 days) | ||||||
Former smoker Current smoker | 80% 62% | REF | 74% 57% | REF | ||
| Age (mean years ± SD) | ||||||
Agreea Do not agreea | 53±12 54±12 | 0.89 (0.77–1.03)c REF | 0.13 | 53±12 54±12 | 0.94 (0.82–1.08)c REF | 0.39 |
| Gender | ||||||
Female Male | 71% 65% | REF | 63% 62% | 1.05 (0.75–1.47) REF | 0.77 | |
| Race/ethnicity | ||||||
Black non-Hispanic Hispanic White non-Hispanic | 60% 68% 70% | 0.67 (0.42–1.09) 0.85 (0.40–1.79) REF | 0.11 0.66 | 64% 63% 63% | 1.15 (0.72–1.85) 0.86 (0.42–1.77) REF | 0.57 0.69 |
| Education | ||||||
> High School ≤ High School/GED | 70% 67% | 1.05 (0.75–1.49) REF | 0.77 | 65% 61% | 1.15 (0.83–1.61) REF | 0.40 |
| COVID-19 exposure/infectiond | ||||||
Yes No | 67% 69% | 0.86 (0.52–1.40) REF | 0.53 | 67% 62% | 1.17 (0.72–1.91) REF | 0.52 |
| Study site | ||||||
MGH (MA)e UPMC (PA)/VUMC (TN)e | 74% 65% | REF | 68% 59% | 1.36 (0.95–1.95) REF | 0.09 | |
aModel is comparing agreement vs. disagreement with statement in column heading. Analysis is also adjusted for study arm and time since index admission
bAOR, adjusted odds ratio; CI, confidence interval. Results that are statistically significant (p<.05) are presented in bold face.
c10-year increment
dComposite variable coded as yes if respondent reported having had a positive COVID-19 test, having been given a COVID-19 diagnosis by a health professional, believing that they had had COVID-19, or having had a household member or close contact with a COVID-19 diagnosis
eMGH, Massachusetts General Hospital; UPMC, University of Pittsburgh Medical Center; VUMC, Vanderbilt University Medical Center
Figure 2Change in cigarette smoking since the onset of COVID-19.
Factors Associated with Smokers Who Increased Smoking After Onset of COVID-19. Multiple Logistic Regression Analysis
| Increased amount of smoking since COVID-19a | |||
|---|---|---|---|
| AOR (95% CI)c | P value | ||
| Age (mean years ± SD) | |||
Increased smoking Decreased/no change | 52±11 54±12 | 0.91 (0.75–1.11)d REF | 0.35 |
| Gender | |||
Female Male | 38% 22% | REF | |
| Race/ethnicity | |||
Black non-Hispanic Hispanic White non-Hispanic | 33% 54% 30% | 1.05 (0.55–2.01) REF | 0.89 |
| Education | |||
> High school ≤ High school/GED | 34% 30% | 0.94 (0.59–1.48) REF | 0.78 |
| Overall stress scale (range, 1–5; mean ± SD) | |||
Increased smoking Decreased/no change | 4.1±0.9 3.6±1.2 | REF | |
| Financial worry scale (range 1.5; mean ± SD) | |||
Increased smoking Decreased/no change | 3.6±1.3 3.3±1.4 | 0.96 (0.79–1.16)e REF | 0.67 |
| History of COVID-19 exposure or infection | |||
Yes No | 41% 30% | 1.36 (0.74–2.49) REF | 0.33 |
| Belief that smoking increases COVID-19 risk | |||
Yes No | 32% 30% | 0.91 (0.56–1.47) REF | 0.70 |
| Study site | |||
MGH (MA)f UPMC (PA)/VUMC (TN)f | 36% 29% | 1.46 (0.90–2.37) REF | 0.13 |
aAnalysis compares smokers who increased the amount of smoking vs. smokers who decreased or did not change the amount of smoking after start of COVID-19. Analysis is also adjusted for respondent’s interest in reducing or quitting smoking since onset of COVID-19, study arm, and time since index admission
b427 were smokers before the US COVID-19 pandemic but 4 did not answer the amount change question
cAOR, adjusted odds ratio; CI, confidence interval. Results that are statistically significant (p<.05) are presented in bold face.
d10-year increment
eChange per point on 5-point Likert scale, where 1 = none, 5 = the most I’ve ever had
fMGH, Massachusetts General Hospital; UPMC, University of Pittsburgh Medical Center; VUMC, Vanderbilt University Medical Center
Figure 3Daily COVID-19 cases per 100,000 population, March 1–July 31, 2020, in counties in which the 3 study sites are located. (Allegheny County = Pittsburgh, PA. Davidson County = Nashville, TN. Suffolk County = Boston, MA). Although surveys were administered between March 18 and July 16, the large majority were conducted during May 2020.