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. Author manuscript; available in PMC: 2022 Feb 9.
Published in final edited form as: Drug Alcohol Depend. 2021 Sep 25;228:109035. doi: 10.1016/j.drugalcdep.2021.109035

Corrigendum to “Correlates of e-cigarette use among adults initiating smoking cessation treatment” [Drug Alcohol Depend. 224 (2021) 108724]

Laili Kharazi Boozary a,d, Summer G Frank-Pearce b,d, Adam C Alexander c,d, Joseph J C Waring d, Sarah J Ehlke d, Michael S Businelle c,d, Amy M Cohn d,e, Darla E Kendzor c,d,*
PMCID: PMC8823404  NIHMSID: NIHMS1744353  PMID: 34583106

It has come to the attention of the authors that some corrections are needed to the values in Table 1. One of these changes requires a modification of the text in Section 3.2. See the list of corrections along with the revised Table 1 below.

Table 1.

Participant characteristics overall and by EC use status (N = 649).

Overall EC use, past 30 days
EC use, Ever
n (%) or mean ± SD No (n = 499) Yes
(n = 150)
p No (n = 217) Yes
(n = 432)
p
Baseline demographic variables
Age, years (range 18–83 years) 51.8 ± 12.2 52.6 ± 11.8 49.2 ± 12.5 0.003 55.8 ± 10.6 49.9 ± 12.3 <0.0001
Education, years (range 0–20 years)A 12.5 ± 2.2 12.5 ± 2.2 12.3 ± 2.0 0.23 12.5 ± 2.2 12.5 ± 2.2 0.93
Sex, % female 377 (58.1%) 280 (56.1%) 97 (64.7%) 0.06 101 (46.5%) 276 (63.9%) <0.0001
Sexual orientation/Gender, % Straight/Gender conformingA,B 576 (88.8%) 447 (89.6%) 129 (86.0%) 0.31 190 (87.6%) 386 (89.4%) 0.44
CESD, % score ≥10 311 (47.9%) 232 (46.5%) 79 (52.7%) 0.83 93 (42.9%) 218 (50.5%) 0.08
Ethnicity, % HispanicA 28 (4.3%) 21 (4.2%) 7 (4.7%) 0.80 8 (3.7%) 20 (4.6%) 0.57
Race (2 categories), % Non-Hispanic White1 379 (58.4%) 285 (57.1%) 94 (62.7%) 0.23 108 (49.8%) 271 (62.7%) 0.0016
Race (4 categories)2
 White, % 393 (60.6%) 295 (59.1%) 98 (65.3%) 0.16 111 (51.2%) 282 (65.3%) <0.0001
 Black, % 180 (27.7%) 149 (29.9%) 31 (20.7%) 85 (39.2%) 95 (22.0%)
 American Indian/Alaska Native, % 53 (8.2%) 38 (7.6%) 15 (10.0%) 16 (7.4%) 37 (8.6%)
 Multi-race/Other, % 23 (3.5%) 17 (3.4%) 6 (4.0%) 5 (2.3%) 18 (4.2%)
Married/living with significant other 246 (37.9%) 195 (39.1%) 51 (34.0%) 0.26 81 (37.3%) 165 (38.2%) 0.83
Annual household income, % < $21,000C 400 (61.6) 295 (59.1%) 105 (70.0%) 0.01 135 (62.2%) 265 (61.3%) 0.52
Health Insurance, % Uninsured/MedicaidA 377 (58.1%) 272 (54.5%) 105 (70.0%) 0.0005 117 (53.9%) 260 (60.2%) 0.12
Employment, % Employed Full/Part-TimeA 177 (27.3%) 136 (27.3%) 41 (27.3%) 0.95 47 (21.7%) 130 (30.1%) 0.02
Baseline tobacco use characteristics
EC use, % ever 432 (66.6%) – – – – – –
EC use, % past 30 days 150 (23.1%) – – – – – –
 Less than once per week – – 63 (42.0%) – – – –
 1 –2 times per week – – 31 (20.7%) – – –
 3–4 times per week – – 18 (12.0%) – – –
 5–6 times per week – – 12 (8.0%) – – –
 Every day – – 26 (17.3%) – – –
CCs smoked per day (range 0–65)D,3 17.0 ± 10.3 16.4 ± 10.2 19.0 ± 10.3 0.004 15.9 ± 10.2 17.6 ± 10.3 0.04
Years of CC smoking (range 0–67) 30.2 ± 14.1 30.3 ± 14.1 29.9 ± 13.9 0.74 31.1 ± 14.6 29.8 ± 13.8 0.30
CO, ppm (range 0–83)3 18.0 ± 12.3 18.2 ± 12.2 17.6 ± 12.7 0.48 17.4 ± 11.8 18.3 ± 12.6 0.48
Heaviness of smoking index (range 0–6) 3.1 ± 1.5 3.0 ± 1.5 3.4 ± 1.5 0.006 3.0 ± 1.6 3.2 ± 1.5 0.04
CC abstinence, CO-verified (past 7 days)
Abstinent at 4-weeks, % 133 (20.5%) 98 (19.6%) 35 (23.3%) 0.33 41 (18.9%) 92 (21.3%) 0.47
Abstinent at 12-weeks, % 116 (17.9%) 90 (18.0%) 26 (17.3%) 0.84 43 (19.8%) 73 (16.9%) 0.36
Abstinent at 26-weeks, % 90 (13.9%) 71 (14.2%) 19 (12.7%) 0.63 32 (14.8%) 58 (13.4%) 0.66

Notes: EC = E-cigarettes, CC = combustible cigarettes, CO = expired carbon monoxide.

A

Missing n = 1 from analysis.

B

Identify as both straight and gender conforming.

C

Missing n = 31 from analysis.

D

Missing n = 5 from analysis.

1

The dichotomised race variable was used as covariate in adjusted models.

2

Follow-up analysis showed significant differences in EC ever-use (p < 0.0001) and past 30-day EC use (p = 0.03) between Black vs. Non-Black individuals.

3

Used Fisher’s exact test due to non-normal distribution.

The corrections to Table 1 include:

  • For the variable “Age”, the standard deviation for past 30-day EC non-users was changed to 11.8.

  • For the variable “CESD”, the value for past 30-day EC non-users was changed to 232 (46.5%) and the value for past 30-day EC users was changed to 79 (52.7%).

  • For the variable “Health Insurance”, in the “Overall” column, the % Uninsured/Medicaid was changed to 377 (58.1%).

  • For the variable “CCs smoked per day”, the value for EC never-users was changed to 15.9 ± 10.2 and the value for EC ever-users was changed to 17.6 ± 10.3.

  • For the variable “Years of CC smoking”, the value for EC never-users was changed to 31.1 ± 14.6 and the value for EC ever-users was changed to 29.8 ± 13.8.

The final sentence in Section 3.2 of the manuscript should read as follows:

  • With regard to EC ever-use, ever-users were younger (p < 0.0001), more likely to be female (p < 0.0001), more likely to report White/non-Hispanic race/ethnicity (p = 0.0016), less likely to report Black race (p < 0.0001), more likely to be employed (p = 0.02), smoked more cigarettes per day (p = 0.04), and had higher HSI scores (p = 0.04) than never-users.

The authors regret these errors, but they do not substantially change the conclusions in the paper. The authors would like to apologise for any inconvenience caused.

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