| Literature DB >> 31516445 |
Joy L Hart1,2, Kandi L Walker1,2, Clara G Sears1,2, Alexander S Lee1,2, Stanley Lee Ridner3, Rachel J Keith2,4.
Abstract
INTRODUCTION: As e-cigarette use increases, questions about individual and public health effects remain unanswered (e.g. cessation tool, addiction path). Despite increasing use, few studies have focused on vape shop patrons. This study examined whether vape shop patrons believe their health is affected by the use of e-cigs; more specifically, the aim was to evaluate the association between e-cig use, change in tobacco use, and perception of health.Entities:
Keywords: e-cigarette (e-cig); electronic cigarette; tobacco; vape; vape shop
Year: 2018 PMID: 31516445 PMCID: PMC6664314 DOI: 10.18332/tid/95218
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
Participant Demographics, Louisville, Kentucky, USA, 2015 (N=78 )
| 0.04 | |||
| Female | 20.3 (12) | 44.4 (8) | |
| Male | 79.7 (47) | 55.6 (10) | |
| 0.70 | |||
| High school graduate or GED | 31.0 (18) | 27.8 (5) | |
| Some college | 37.9 (22) | 50.0 (9) | |
| College degree (2-year, or 4-year, or professional) | 31.0 (18) | 22.2 (4) | |
| 0.05 | |||
| White/Caucasian | 88.1 (52) | 82.4 (14) | |
| Black/African American | 1.7 (1) 0 (0) | ||
| Hispanic/Latino 0 (0) | 11.8 (2) | ||
| American Indian/Alaskan | 1.7 (1) | 5.9 (1) | |
| More than one race | 8.5 (5) 0 (0) | ||
| 0.56 | |||
| Single, never married | 56.9 (33) | 66.7 (12) | |
| Single, divorced | 17.2 (10) | 5.6 (1) | |
| Married or domestic partner | 25.9 (15) | 27.8 (5) | |
| 0.23 | |||
| Excellent | 27.6 (16) | 16.7 (3) | |
| Good or very good | 72.4 (42) | 77.8 (14) | |
| Fair | 0 (0) | 5.6 (1) |
Fisher’s exact test
E-cigarette use behaviors, Louisville, Kentucky, USA, 2015 (N=78)
| 0.34 | |||
| Every day | 93.3 (56) | 83.3 (15) | |
| Less than every day | 6.7 (4) | 16.7 (3) | |
| 0.23 | |||
| Median (Range) | 4.0 (1–30) | 4.0 (1–18) | |
| Mean (SD) | 7.3 (7.1) | 4.7 (4.1) | |
| 0.42 | |||
| None | 6.7 (4) | 16.7 (3) | |
| 1–3 | 51.7 (31) | 44.4 (8) | |
| 4–11 | 31.7 (19) | 22.2 (4) | |
| 12–24 | 10.0 (6) | 16.7 (3) |
Significance at the p<0.05 level.
Wilcoxon rank-sum test p-value
Tobacco use behaviors, Louisville, Kentucky, USA, 2015 (N=78)
| 0.002 | |||
| Yes | 98.3 (59) | 72.2 (13) | |
| No | 1.7 (1) | 27.8 (5) | |
| <0.001 | |||
| Every day | 96.7 (58) | 52.9 (9) | |
| Less than every day | 3.3 (2) | 47.1 (8) | |
| 0.002 | |||
| None | 1.7 (1) | 29.4 (5) | |
| 1–10 | 16.7 (10) | 23.5 (4) | |
| 11–20 | 35.0 (21) | 29.4 (5) | |
| 21 or more | 46.7 (28) | 17.7 (3) | |
| 0.03 | |||
| Every day | 1.7 (1) | 17.7 (3) | |
| Less than every day | 98.3 (58) | 82.4 (13) | |
| 0.13 | |||
| None | 91.7 (55) | 77.8 (14) | |
| 10 or fewer cigarettes | 6.7 (4) | 11.1 (2) | |
| 11–20 cigarettes | 1.7 (1) | 5.6 (1) | |
| 21 or more cigarettes | 0 (0) | 5.6 (1) |
Significance at the p<0.05 level.
Fisher’s exact p-value for none vs any cigarettes
Fisher’s exact p-value for none and 1–10 cigarettes vs 11–20 cigarettes and 21 or more cigarettes.