Letters
Association of transitioning from combustible cigarettes to noncombustible nicotine or tobacco products with subsequent cancer risk: a nationwide cohort study in South Korea
Ho Geol Woo1,#,
Yejun Son2,#,
Sunyeup Kim3,#,
Jongnam Kim4,
Jiseung Kang5,6,
Seung Won Lee7,*
Author Information & Copyright ▼
1Department of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
2Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
3Department of Medical AI, Sungkyunkwan University School of Medicine, Suwon, South Korea
44Department of Metabiohealth, Sungkyunkwan University, Suwon, South Korea
5Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
6Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
7Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea
# These authors contributed equally to this work
© Copyright 2024 Life Cycle. This is an Open-Access article distributed under the terms of the
Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits
unrestricted non-commercial use, distribution, and reproduction in any
medium, provided the original work is properly cited.
Received: Nov 02, 2023; Revised: Jan 12, 2024; Accepted: Jan 12, 2024
Published Online: Jan 28, 2024
1. Introduction
While the prevalence of Combustible cigarette (CC) smoking has declined in many high-income countries over recent decades, the use of noncombustible nicotine or tobacco products (NNTP) has risen due to its promotion as a helpful aid for adults looking to quit CC smoking.[1, 2] Although evaluations of the components of various NNTPs have revealed the presence of various well-known carcinogenic agents, there has been limited research examining their carcinogenic effects, such as cancer development.[3] Thus, this study aimed to assess the association of changes in NNTP and CC use habits and subsequent overall cancer risk.
2. Methods
This study utilized data from the National Health Insurance Service of South Korea (NHIS), which includes demographics, socioeconomic status, and medical data for the diagnosis and treatment modalities of participants who underwent complimentary national health checkups biannually.[4] The study population consisted of 5,312,023 adults aged 20 years and older who underwent health checkups during both the first period (2014) and second period (2018). Starting from the second health screening date, participants were followed up until the date of the overall cancer event or death, whichever came earliest.
Smoking status was assessed through a self-reported survey during the first and second health check-up periods.[2] NNTP use was evaluated through a survey during the second health check-up period. CC quitters were classified into long-term (≥5 years) and recent (<5 years) quitters, as it is considered to take 5 years for CC quitters to gradually decrease overall cancer risk.[2] Similar to a previous study[2], the participants were classified into six groups: continual CC-only smokers, CC and NNTP users, recent (<5 years) CC quitters, long-term (≥5 years) CC quitters without NNTP use, long-term (≥5 years) CC quitters with NNTP use, and never smokers. In this study, all cancer cases were identified using the International Statistical Classification of Diseases, Tenth Revision (ICD-10) codes, specifically C00-C99.[5]
Multivariate Cox proportional hazards regression was used to calculate the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for overall cancer based on changes in CC and NNTP use status. Stratified analysis of the association between smoking status and overall cancer risk was performed across age and sex subgroups, adjusting for all covariates except for the variable used to stratify the subgroups. Statistical significance was determined at a 2-sided P-value of less than 0.05. All data collection and statistical analyses were performed using the SAS software (version 9.4; SAS Inc., Cary, NC, USA).
3. Result
Among 4,187,557 participants (Table 1), The risk of overall cancer according to changes in CC and NNTP usage habits according to age and sex is presented in Table 2. Compared with continual CC-only smokers, CC and NNTP users (aHR, 0.86 [95% CI, 0.79–0.93]), recent CC quitters (0.92 [0.87–0.97]), long-term CC quitters without NNTP use (0.74 [0.71–0.77]), and never smokers (0.61 [0.59–0.63]) had lower risk for overall cancer in male participants aged 40 years or older. Additionally, compared with continual CC-only smokers, CC and NNTP users, recent CC quitters, long-term CC quitters without NNTP use, long-term CC quitters with NNTP use, and never smokers exhibited lower trends of overall cancer risk in female participants aged 40 years or older. However, there were significant differences in the association between changes in CC and NNTP use habits and overall cancer risk across the different age subgroups (Table 2).
Table 1.
Baseline character of the study population
Characteristics |
Continual CC–only smokers |
CC and NNTP users |
Recent (<5 y) CC quitters |
Long–term (≥5 y) CC quitters without NNTP use |
Long–term (≥5 y) CC quitters with NNTP use |
Never smokers |
Overall, n |
692,479 |
101,751 |
147,093 |
506,358 |
3,901 |
2,735,975 |
Age, years old, mean (SD) |
48.12 (12.03) |
40.93 (8.63) |
49.47 (12.73) |
54.42 (12.27) |
41.33 (9.06) |
52.57 (14.66) |
Age group, n (%) |
|
|
|
|
|
|
20–39 years old |
172,336 (24.89%) |
46,672 (45.87%) |
35,729 (24.29%) |
60,500 (11.95%) |
1,761 (45.14%) |
570,033 (20.83%) |
40–59 years old |
390,874 (56.45%) |
52,166 (51.27%) |
76,405 (51.94%) |
264,662 (52.27%) |
1,961 (50.27%) |
1,238,875 (45.28%) |
≥60 years old |
129,269 (18.67%) |
2,913 (2.86%) |
34,959 (23.77%) |
181,196 (35.78%) |
179 (4.59%) |
927,067 (33.88%) |
Sex, n (%) |
|
|
|
|
|
|
Male |
643,919 (92.99%) |
96,749 (95.08%) |
134,786 (91.63%) |
484,720 (95.73%) |
3,467 (88.87%) |
603,415 (22.05%) |
Female |
48,560 (7.01%) |
5,002 (4.92%) |
12,307 (8.37%) |
21,638 (4.27%) |
434 (11.13%) |
2,132,560 (77.95%) |
Region of residence, n (%) |
|
|
|
|
|
|
Rural |
386,341 (55.79%) |
50,873 (50.00%) |
78,441 (53.33%) |
262,901 (51.92%) |
1,814 (46.50%) |
1,473,766 (53.87%) |
Urban |
306,138 (44.21%) |
50,878 (50.00%) |
68,652 (46.67%) |
243,457 (48.08%) |
2,087 (53.50%) |
1,262,209 (46.13%) |
Household income, n (%) |
|
|
|
|
|
|
Low income |
252,210 (36.42%) |
28,900 (28.40%) |
47,121 (32.03%) |
132,937 (26.25%) |
1,085 (27.81%) |
990,715 (36.21%) |
Middle income |
307,767 (44.44%) |
46,579 (45.78%) |
63,593 (43.23%) |
208,302 (41.14%) |
1,766 (45.27%) |
1,058,208 (38.68%) |
High income |
132,502 (19.13%) |
26,272 (25.82%) |
36,379 (24.73%) |
165,119 (32.61%) |
1,050 (26.92%) |
687,052 (25.11%) |
BMI, mean (SD) |
24.71 (4.24) |
25.54 (3.64) |
25.2 (3.36) |
25.02 (4.69) |
25.19 (3.61) |
23.88 (3.77) |
BMI, n (%) |
|
|
|
|
|
|
<25 kg/m2 |
389,189 (56.20%) |
47,396 (46.58%) |
73,115 (49.71%) |
262,777 (51.90%) |
1,940 (49.73%) |
1,806,624 (66.03%) |
25–30 kg/m2 |
251,834 (36.37%) |
43,286 (42.54%) |
62,495 (42.49%) |
214,310 (42.32%) |
1,617 (41.45%) |
781,720 (28.57%) |
≥30 kg/m2 |
51,455 (7.43%) |
11,069 (10.88%) |
11,483 (7.81%) |
29,271 (5.78%) |
344 (8.82%) |
147,590 (5.39%) |
SBP, mean (SD) |
124.41 (14.03) |
123.56 (13.24) |
125.16 (13.93) |
126.05 (13.78) |
122.22 (13.24) |
121.88 (15.24) |
DBP, mean (SD) |
77.97 (10.08) |
78.17 (10.06) |
78.17 (10.02) |
78.22 (9.74) |
77.1 (10.26) |
74.86 (9.96) |
Fasting blood glucose, mean (SD) |
105.1 (29.51) |
102.38 (25.78) |
105.08 (27.56) |
105.25 (24.87) |
100.62 (21.68) |
99.33 (21.91) |
Serum total cholesterol, mean (SD) |
198.03 (43.13) |
202.64 (40.2) |
197.31 (42.46) |
194.1 (41.31) |
199.57 (38.25) |
196.76 (40.29) |
Alcohol consumption; drinks per week, n (%) |
|
|
|
|
|
|
<1 |
263,400 (38.04%) |
37,673 (37.02%) |
62,706 (42.63%) |
228,988 (45.22%) |
1,604 (41.12%) |
2,116,530 (77.36%) |
1–3 |
342,126 (49.41%) |
53,785 (52.86%) |
69,855 (47.49%) |
231,326 (45.68%) |
1,922 (49.27%) |
574,419 (21.00%) |
≥4 |
86,952 (12.56%) |
10,293 (10.12%) |
14,532 (9.88%) |
46,044 (9.09%) |
375 (9.61%) |
45,015 (1.65%) |
Exercise, n (%) |
|
|
|
|
|
|
Sufficient |
200,376 (28.94%) |
28,029 (27.55%) |
49,578 (33.71%) |
191,468 (37.81%) |
1,215 (31.15%) |
887,460 (32.44%) |
Non-sufficient |
492,101 (71.06%) |
73,722 (72.45%) |
97,514 (66.29%) |
314,885 (62.19%) |
2,686 (68.85%) |
1,848,501 (67.56%) |
Pack–years of smoking, median (IQR) |
15.0 (7.5-24) |
10.5 (6.5-18.75) |
12.5 (5.0-23.0) |
10.0 (5.0-20.0) |
7.5 (4.2-15.0) |
0.0 (0.0-0.0) |
CCI, n (%) |
|
|
|
|
|
|
0 |
448,678 (64.79%) |
75,761 (74.46%) |
87,330 (59.37%) |
283,130 (55.91%) |
2,849 (73.03%) |
1,594,672 (58.29%) |
1 |
162,023 (23.40%) |
20,085 (19.74%) |
37,103 (25.22%) |
138,530 (27.36%) |
785 (20.12%) |
720,220 (26.32%) |
≥2 |
81,778 (11.81%) |
5,905 (5.80%) |
22,660 (15.41%) |
84,698 (16.73%) |
267 (6.84%) |
421,083 (15.39%) |
Download Excel Table
Table 2.
The HR with 95% CI for the association of changes in CC and NNTP use habits with overall cancer risk according to subgroups of age and sex
Parameter |
N (%) |
Events |
Person–years |
IR* |
HR (95% CI) |
Model 1 |
Model 2 |
Model 3 |
Male, aged ≥40
|
|
|
|
|
|
|
|
|
Continual CC–only smokers |
482,771 |
12,759 |
1,393,617 |
9.2 |
1.62 (1.57–1.66) |
1.69 (1.64–1.73) |
1.64 (1.59–1.68) |
1.0 (ref) |
CC and NNTP users |
52,666 |
676 |
151,828 |
4.5 |
1.38 (1.27–1.49) |
1.45 (1.34–1.57) |
1.41 (1.30–1.52) |
0.86 (0.79–0.93) |
Recent (<5 y) CC quitters |
103,007 |
3,042 |
300,423 |
10.1 |
1.53 (1.47–1.59) |
1.56 (1.50–1.63) |
1.51 (1.45–1.58) |
0.92 (0.87–0.97) |
Long–term (≥5 y) CC quitters without NNTP use |
430,641 |
12,290 |
1,275,574 |
9.6 |
1.20 (1.17–1.24) |
1.24 (1.20–1.27) |
1.21 (1.18–1.24) |
0.74 (0.71–0.77) |
Long–term (≥5 y) CC quitters with NNTP use |
1,956 |
21 |
5,041 |
4.2 |
1.15 (0.75–1.76) |
1.17 (0.76–1.80) |
1.14 (0.74–1.75) |
0.70 (0.45–1.07) |
Never smokers |
399,332 |
10,579 |
1,171,591 |
9.0 |
1.0 (ref) |
1.0 (ref) |
1.0 (ref) |
0.61 (0.59–0.63) |
Male, aged <40
|
|
|
|
|
|
|
|
|
Continual CC–only smokers |
161,148 |
595 |
491,802 |
1.2 |
0.84 (0.76–0.94) |
0.91 (0.81–1.01) |
0.92 (0.80–1.06) |
1.0 (ref) |
CC and NNTP users |
44,083 |
216 |
133,120 |
1.6 |
1.09 (0.94–1.27) |
1.13 (0.97–1.32) |
1.16 (0.97–1.38) |
1.26 (1.00–1.58) |
Recent (<5 y) CC quitters |
31,779 |
158 |
96,888 |
1.6 |
1.09 (0.92–1.29) |
1.14 (0.96–1.36) |
1.16 (0.96–1.40) |
1.26 (1.00–1.60) |
Long–term (≥5 y) CC quitters without NNTP use |
54,079 |
301 |
169,955 |
1.8 |
1.10 (0.96–1.25) |
1.15 (1.00–1.32) |
1.17 (1.00–1.35) |
1.27 (1.04–1.56) |
Long–term (≥5 y) CC quitters with NNTP use |
1,511 |
4 |
4,044 |
1.0 |
0.67 (0.25–1.79) |
0.70 (0.26–1.87) |
0.71 (0.27–1.91) |
0.77 (0.29–2.07) |
Never smokers |
204,083 |
850 |
624,272 |
1.4 |
1.0 (ref) |
1.0 (ref) |
1.0 (ref) |
1.09 (0.94–1.25) |
Female, aged ≥40
|
|
|
|
|
|
|
|
|
Continual CC–only smokers |
37,372 |
954 |
103,617 |
9.2 |
1.22 (1.14–1.30) |
1.33 (1.25–1.42) |
1.26 (1.17–1.35) |
1.0 (ref) |
CC and NNTP users |
2,413 |
48 |
6,358 |
7.5 |
1.13 (0.85–1.50) |
1.25 (0.94–1.66) |
1.20 (0.90–1.59) |
0.95 (0.71–1.28) |
Recent (<5 y) CC quitters |
8,357 |
211 |
23,438 |
9.0 |
1.20 (1.05–1.37) |
1.27 (1.11–1.46) |
1.22 (1.06–1.39) |
0.97 (0.83–1.13) |
Long–term (≥5 y) CC quitters without NNTP use |
15,217 |
359 |
42,493 |
8.4 |
1.17 (1.05–1.30) |
1.24 (1.12–1.38) |
1.20 (1.08–1.34) |
0.95 (0.84–1.08) |
Long–term (≥5 y) CC quitters with NNTP use |
184 |
1 |
419 |
2.4 |
0.37 (0.05–2.62) |
0.40 (0.06–2.81) |
0.38 (0.05–2.72) |
0.30 (0.04–2.23) |
Never smokers |
1,766,610 |
41,973 |
508,2480 |
8.3 |
1.0 (ref) |
1.0 (ref) |
1.0 (ref) |
0.79 (0.74–0.85) |
Female, aged <40
|
|
|
|
|
|
|
|
|
Continual CC–only smokers |
11,188 |
78 |
31,561 |
2.5 |
0.87 (0.70–1.09) |
0.91 (0.73–1.14) |
0.88 (0.68–1.14) |
1.0 (ref) |
CC and NNTP users |
2,589 |
18 |
6,882 |
2.6 |
0.91 (0.58–1.45) |
0.95 (0.60–1.52) |
0.92 (0.57–1.49) |
1.05 (0.61–1.80) |
Recent (<5 y) CC quitters |
3,950 |
27 |
10,721 |
2.5 |
0.85 (0.58–1.24) |
0.89 (0.61–1.29) |
0.86 (0.58–1.27) |
0.98 (0.61–1.56) |
Long–term (≥5 y) CC quitters without NNTP use |
6,421 |
74 |
17,786 |
4.2 |
1.29 (1.02–1.62) |
1.35 (1.07–1.70) |
1.32 (1.04–1.68) |
1.50 (1.05–2.13) |
Long–term (≥5 y) CC quitters with NNTP use |
250 |
2 |
565 |
3.5 |
1.19 (0.30–4.76) |
1.27 (0.32–5.08) |
1.24 (0.31–4.96) |
1.41 (0.34–5.77) |
Never smokers |
365,950 |
3,187 |
1,031,750 |
3.1 |
1.0 (ref) |
1.0 (ref) |
1.0 (ref) |
1.14 (0.88–1.47) |
Download Excel Table
4. Discussion
In summary, switching to NNTP among initially CC-only smokers was associated with a lower overall cancer risk than continual CC-only use in participants aged 40 years or older. There is a trend of decreasing cancer incidence in women aged 40 years or older, but this was difficult to determine owing to the insufficient sample size. To the best of our knowledge, this is the first study to demonstrate the overall cancer risk associated with changes in NNTP and CC habits.
Several limitations must be considered when interpreting the results. First, because 97% of all women in South Korea are nonsmokers, there may be a discrepancy between smoking status, as reported in surveys, and the actual smoking status. Additional follow-up will enhance the reliability of the results obtained in this cohort.