| Literature DB >> 35250322 |
Emma Karey1, Taylor Reed2, Maria Katsigeorgis1, Kayla Farrell1, Jade Hess1, Grace Gibbon2, Michael Weitzman1,3,4, Terry Gordon1,3.
Abstract
BACKGROUND: Variation in alternative tobacco product (ATP) constituents, heating potential, and consumer behaviors have made it difficult to characterize their health risks. To date, most toxicity studies of ATPs have used established cigarette endpoints to inform study design. Furthermore, to assess where ATPs fall on the tobacco harm continuum, with cigarettes representing maximum potential risk, studies have tended to compare the relative biological responses to ATPs against those due to cigarettes.Entities:
Keywords: alternative tobacco products; electronic cigarettes; hookah; vaping
Year: 2022 PMID: 35250322 PMCID: PMC8891836 DOI: 10.1177/1179173X221078200
Source DB: PubMed Journal: Tob Use Insights ISSN: 1179-173X
Sex-specific exhalation patterns by product type (cigarette, hookah, and e-cigarette).
| Tobacco Product/Subject Details | Exhalation Pattern | ||||
|---|---|---|---|---|---|
| Product (N) | Subject Gender
| N (%) | Dual
| Oral
| Nasal
|
| Cigarette
| M | 80 (65.6) | 17 (21.2) | 59 (73.8) | 4 (5.0) |
| F | 42 (34.4) | 4 (9.5) | 36 (85.7) | 2 (4.8) | |
| Hookah
| M | 65 (67.7) | 34 (52.3) | 31 (47.7) | 0 (.0) |
| F | 31 (32.3) | 14 (45.2) | 17 (54.8) | 0 (.0) | |
| E-cigarette[ | M | 97 (78.2) | 40 (41.3) | 35 (36.1) | 22 (22.6) |
| F | 27 (21.8) | 13 (48.1) | 12 (44.4) | 2 (7.4) | |
| Modular-Tank (60) | M | 46 (76.7) | 29 (63.0) | 11 (24.0) | 6 (13.0) |
| F | 14 (23.3) | 8 (57.1) | 5 (35.7) | 1 (7.1) | |
| Pod-like (64) | M | 51 (79.7) | 12 (23.5) | 23 (45.1) | 16 (31.4) |
| F | 13 (20.3) | 5 (38.5) | 7 (53.8) | 1 (7.7) | |
aDetermined by researcher (not verified by subject). M = male//F = female.
bIndividual was observed exhaling from two facial orifices (oral nasal).
cIndividual was observed exhaling from a single orifice (oral nasal).
dObservations took place in public spaces (outdoors).
eObservations took place in multiple hookah bars (indoors).
fE-cigarettes include both modular-tank and pod-like devices.
Two-sample exhalation proportion Z-scores by tobacco product type and e-cigarette device type.
| Exhalation Pattern | vs. Cigarette Smoking | |
|---|---|---|
|
|
|
|
| Mouth only | 4.42 |
|
| Nose only | 2.51 |
|
| Dual (mouth + nose) | −5.38 |
|
| Ever nose (dual + nose only) | −4.42 |
|
|
|
|
|
| Mouth only | 7.15 |
|
| Nose only | −3.50 |
|
| Dual (mouth + nose) | −4.82 |
|
| Ever nose (dual + nose only) | −6.96 |
|
|
|
| |
|
|
| |
| Mouth only | −2.91 |
|
| Nose Only
| --- | --- |
| Dual (mouth + nose) | 4.41 |
|
| Ever nose (dual + nose only) | 2.74 |
|
P-values are bold when z-score was determined to be statistically different.
ainsufficient sample size for test to run.
Figure 1.Product-specific exhalation patterns. Venn diagrams of exhalation patterns of smokers (cigarette, n = 122, and hookah, n = 96) and vapers (e-cigarette, n = 123) observed in New York City. E-cigarette users were further stratified by device type: Modular-tank (mod, n = 59) or pod-like (pod, n = 64). Red boxes include individuals who had ever exhaled from their nose (e.g., mouth and nose + nose only), and these cumulative nasal exhalation percentages are shown in red. Chi-squared analyses revealed statistically significant differences between all tobacco products and between e-cig devices (*P ≤ .05).