| Literature DB >> 34527333 |
Danielle E Deros1, Charlotte J Hagerman1, Jenna A Kramer2, Eric D Anderson3, Shawn Regis4, Andrea B McKee4, Brady J McKee4, Cassandra A Stanton1,5, Ray Niaura1,6, David B Abrams1,6, Michael Ramsaier7, Shelby Fallon1, Harry Harper7, Kathryn L Taylor1.
Abstract
BACKGROUND: There is mixed evidence regarding whether undergoing computed tomography lung cancer screening (LCS) can serve as a "teachable moment" that impacts smoking behavior and attitudes. The study aim was to assess whether the standard procedures of undergoing LCS and receiving free and low-cost evidence-based cessation resources impacted short-term smoking-related outcomes.Entities:
Keywords: CT lung cancer screening (CT LCS); Lung cancer; smoking behaviors; teachable moment; tobacco
Year: 2021 PMID: 34527333 PMCID: PMC8411192 DOI: 10.21037/jtd-20-3267
Source DB: PubMed Journal: J Thorac Dis ISSN: 2072-1439 Impact factor: 3.005
Figure 1Study flow diagram. Compared to eligible individuals who declined (N=72), participants (N=87) did not differ on age (P=0.820), or gender (P=0.136), but reported more pack years, P=0.03. Compared to those who declined post-CTLS (N=13), participants (N=87) did not significantly differ on age (P=0.43), gender (P=0.72), or pack-years, P=0.70. Finally, compared to those who elected to not get screened (N=9), participants (N=87) did not differ on age (P=0.46) or pack-years (P=0.31), and the test for gender was invalid due to small cell sizes.
Pre-screening demographic, tobacco, and lung screening characteristics (N=87)
| Variables | Value |
|---|---|
| Categorical variables, N (%) | |
| Site | |
| Georgetown | 10 (11.5) |
| Lahey | 68 (78.2) |
| Hackensack | 9 (10.3) |
| Gender | |
| Female | 49 (56.3) |
| Marital status | |
| Married/marriage-like relationship | 37 (42.5) |
| Race | |
| White | 84 (96.6) |
| Black or African-American | 2 (2.3) |
| American Indian | 1 (1.1) |
| Education | |
| ≤ HS graduate | 30 (34.5) |
| Some college | 33 (37.9) |
| ≥ College graduate | 24 (27.5) |
| Employment | |
| Not employed | 11 (12.6) |
| Full-time/part-time | 38 (43.7) |
| Retired | 27 (31.0) |
| Other/disability | 11 (12.6) |
| Tobacco-related comorbidities | |
| 0 | 25 (28.7) |
| 1 | 34 (39.1) |
| 2+ | 28 (32.2) |
| Health insurance status | |
| Yes | 86 (98.9) |
| Family history of lung cancer | |
| Yesa | 33 (38.4) |
| Continuous variables | |
| Age | |
| Mean (SD) | 60.3 (5.3) |
| Median (range) | 60.0 (50.0–71.0) |
| Pack years | |
| Mean (SD) | 47.8 (22.6) |
| Median (range) | 40.0 (23.0–165.0) |
| Nicotine dependence ( | |
| Pre-LCSb, mean (SD) | 4.4 (1.9) |
| Age smoked first cigarette, mean (SD) | 14.5 (3.5) |
| Age began daily smoking, mean (SD) | 17.4 (3.4) |
| Longest abstinence, median (range) | 120 days (0 days–18 years) |
| 24 hours quit attempts in past year, median (range) | 2 (0–200) |
aN: 1 missing: refused; bN: 1 missing. LCS, lung cancer screening.
Prior use of other tobacco products
| Use of other tobacco products | Ever use | Past 30 days |
|---|---|---|
| Pipe | 13 (14.9%) | 0 (0.0%) |
| Cigar | 34 (39.1%) | 4 (4.6%) |
| Tiparillo | 16 (18.4%) | 0 (0.0%) |
| Smokeless tobacco | 7 (8.0%) | 0 (0.0%) |
| Electronic cigarettea | 49 (57.6%)b | 9 (10.8%)c |
aN: 1 missing: refused; bN: 2 missing; cN: 4 missing.
Cessation strategies: previous use and future interest
| Cessation strategies | Previous use | Future interest |
|---|---|---|
| Provider counseling | 19 (21.8%) | 66 (76.7%)d |
| Group counseling | 10 (11.5%) | 45 (51.7%) |
| Telephone counselinge | 5 (5.7%) | 57 (65.5%) |
| Varenicline | 40 (46.0%) | 31 (36.0%)d |
| Bupropion | 39 (44.8%) | 41 (47.7%)a |
| Nicotine replacement | 62 (71.3%) | 60 (69.8%)d |
| Self-help programs | 16 (18.4%) | 45 (51.7%) |
| Internet programs | 4 (4.6%) | 43 (49.4%)a |
| Text messaging programs | 1 (1.2%)b | 27 (31.8%)b |
| Electronic cigarette | 48 (55.8%)d | 48 (57.0%)b |
| Cold turkey | 71 (81.6%) | 44 (50.6%) |
| Hypnosis or acupuncture | 42 (48.3%) | 65 (74.4%) |
aN: 1 missing: refused; bN: 2 missing; dN: 1 missing; eIt is possible that the high interest in telephone counseling was in part because participants had enrolled in a telephone counseling intervention (14).
Pre- and post-screening report of cigarettes per day and readiness to quit (N=87)
| Smoking-outcome variable | Pre-screen, N (%) | Post-screen, N (%) |
|---|---|---|
| Cigarettes per daya,b | ||
| >11 | 65 (74.7) | 48 (55.8) |
| ≤10 | 22 (25.3) | 38 (44.2) |
| Readiness to quitb | ||
| Self-reported quit (post-screen) | N/A | 6 (6.9) |
| Ready to quit within next 30 days/already cut down | 26 (29.8) | 29 (33.3) |
| Ready to quit within next 6 months/not ready to quit | 61 (70.1) | 52 (59.8) |
aN: 1 missing; bwe collapsed pre- and post-screening survey response options into dichotomous categories due to small cell sizes. CPD, cigarettes per day.
Figure 2Change from pre- to post-LCS in cigarettes per day and readiness to quit. McNemar binomial distribution tests assess the change from pre- to post- LCS. LCS, lung cancer screening.