| Literature DB >> 32881778 |
Amanda L Graham1, Michael S Amato, Megan A Jacobs, Alexa R Romberg, Megan C Diaz, Basmah Rahman, Barbara A Schillo.
Abstract
OBJECTIVE: Assess workplace vaping as a trigger for tobacco use; examine interest in and prevalence of vaping cessation programs; determine needs of parents whose children vape.Entities:
Mesh:
Year: 2020 PMID: 32881778 PMCID: PMC7720875 DOI: 10.1097/JOM.0000000000002013
Source DB: PubMed Journal: J Occup Environ Med ISSN: 1076-2752 Impact factor: 2.306
Tobacco Use, Demographic, and Workplace Characteristics of Survey Respondents by Workplace Vaping as a Trigger for Smoking and Vaping
| When I See Someone Vaping in My Workplace… | |||
| Sample Characteristics | …It Makes Me Want to Smoke∗,† | … It Makes Me Want to Vape† | |
| Total | |||
| Current tobacco product use, | |||
| Dual user | 334 (20.8) | 216 (64.7) | 225 (67.4) |
| Smoker | 246 (15.3) | 85 (34.6) | 36 (14.6) |
| Vaper | 70 (4.4) | 13 (18.6) | 40 (57.1) |
| Non-user | 957 (59.6) | 41 (6.9) | 35 (5.9) |
| Age, | |||
| 18–30 years | 353 (22.0) | 124 (42.3) | 122 (41.6) |
| 31–45 years | 555 (34.5) | 136 (31.5) | 142 (32.9) |
| 46–65 years | 699 (43.5) | 95 (18.4) | 72 (14.0) |
| Gender, | |||
| Female | 891 (55.5) | 184 (26.2) | 181 (25.7) |
| Male | 713 (44.5) | 170 (31.8) | 154 (28.8) |
| Race/Ethnicity, | |||
| Non-Hispanic White | 1130 (70.3) | 238 (26.9) | 220 (24.9) |
| Non-Hispanic Black | 169 (10.5) | 44 (35.5) | 44 (35.5) |
| Latino/Hispanic | 165 (10.3) | 42 (31.6) | 45 (33.8) |
| Other | 143 (8.9) | 31 (31.6) | 27 (27.6) |
| Education, | |||
| High school or less | 224 (13.9) | 59 (32.8) | 58 (32.2) |
| Some college | 542 (33.7) | 140 (30.6) | 125 (27.4) |
| Completed college or higher | 841 (52.3) | 156 (25.9) | 153 (25.4) |
| Household income, | |||
| Less than $34,999 | 177 (11.3) | 48 (37.8) | 45 (35.4) |
| $35,000–$49,999 | 256 (16.3) | 60 (28.2) | 47 (22.1) |
| $50,000–$74,900 | 365 (23.3) | 99 (32.7) | 93 (30.7) |
| $75,000–$99,999 | 307 (19.6) | 60 (26.0) | 67 (29.0) |
| $100,000 and over | 464 (29.6) | 85 (24.9) | 81 (23.8) |
| Employer size, n (%)‡,§ | |||
| 150–999 employees | 534 (33.2) | 150 (34.2) | 137 (31.2) |
| 1000–4999 employees | 526 (32.7) | 131 (32.4) | 120 (29.7) |
| 5000+ employees | 547 (34.0) | 74 (18.6) | 79 (19.9) |
| Work location, n (%)‡,§ | |||
| Indoor | 1397 (87.0) | 274 (25.6) | 260 (24.3) |
| Outdoor | 69 (4.3) | 20 (40.0) | 22 (44.0) |
| Equally indoor and outdoor | 140 (8.7) | 61 (51.3) | 54 (45.4) |
| Industry, n (%)‡,§ | |||
| Health Services | 264 (16.4) | 59 (30.4) | 51 (26.3) |
| Retail | 187 (11.6) | 42 (27.5) | 39 (25.5) |
| Education | 183 (11.4) | 20 (15.6) | 17 (13.3) |
| Manufacturing | 159 (9.9) | 28 (22.8) | 32 (26.0) |
| Information Technology | 157 (9.8) | 63 (50.4) | 54 (43.2) |
| Government and Non-profit | 150 (9.3) | 15 (13.3) | 12 (10.6) |
| Professional and Business Services | 139 (8.6) | 22 (20.6) | 26 (24.3) |
| Financial Activities | 125 (7.8) | 38 (38.4) | 39 (39.4) |
| Transportation and Warehousing | 80 (5.0) | 24 (35.3) | 23 (33.8) |
| Other | 163 (10.1) | 44 (33.8) | 43 (33.1) |
Includes endorsement of wanting to smoke cigarettes, cigars/cigarillos.
Only assessed among respondents who reported ever use of a tobacco product.
Indicates bivariate significant relationship with “…it makes me want to smoke” among all current and former tobacco users (n = 1055) at P < 0.05.
Indicates bivariate significant relationship with “…it makes me want to vape” among all current and former tobacco users (n = 1055) at P < 0.05.
Model Adjusted Associations of Personal Characteristics With Endorsement of the Statement “When I See Someone Vaping in my Workplace It Makes Me Want to Smoke/Vape”
| Current Tobacco Users ( | ||
| Makes Me Want to Smoke RR (95% CI) | Makes Me Want to Vape RR (95% CI) | |
| Current tobacco product use | ||
| Smoker | ref | |
| Vaper | ref | |
| Dual user | ||
| Intend to quit cigarettes in next 6 months | ||
| No | ref | ref |
| Yes | 1.0 (0.9, 1.2) | 1.2 (1.0, 1.4) |
| Intend to quit e-cigarettes in next 6 months | ||
| No | ref | ref |
| Yes | 0.9 (0.7, 1.1) | |
| Age | ||
| 18–30 years | x | 1.19 (0.9, 1.5) |
| 31–45 years | x | 1.1 (0.9, 1.4) |
| 46–65 years | x | ref |
| Employer size | ||
| 5000+ employees | ref | x |
| 1000–4999 employees | 1.1 (0.9, 1.4) | x |
| 150–999 employees | 1.2 (1.0, 1.5) | x |
| Work location | ||
| Indoor | ref | ref |
| Outdoor | 1.3 (0.9, 1.8) | 1.2 (0.8, 1.6) |
| Equally indoor and outdoor | 1.1 (0.9, 1.4) | |
| Industry | ||
| Health Services | ref | ref |
| Retail | 0.9 (0.6 1.2) | 0.9 (0.7, 1.3) |
| Education | 0.7 (0.5, 1.0) | 0.7 (0.5 1.1) |
| Manufacturing | 0.9 (0.6, 1.2) | |
| Information Technology | 0. 9 (0.7, 1.2) | 1.0 (0.7, 1.3) |
| Government and Non-profit | 0.8 (0.4, 1.3) | |
| Professional and Business Services | 0.9 (0.6, 1.3) | |
| Financial Activities | 1.0 (0.7, 1.4) | 1.1 (0.8, 1.6) |
| Transportation and Warehousing | 0.8 (0.6, 1.2) | 1.0 (0.6, 1.4) |
| Other | 0.8 (0.6, 1.1) | 1.0 (0.8 1.4) |
Bold values indicate a significant relationship at P < 0.05.
Variables with values of “x” were not selected for inclusion in the corresponding model.
Presence of Workplace Support for Quitting Vaping by Industry, n (%)
| Total | Yes | No | I Don’t Know | |
| Total | 1607 | 498 (31.0) | 692 (43.1) | 417 (25.9) |
| Health services | 264 | 114 (43.2) | 93 (35.2) | 57 (21.6) |
| Manufacturing | 159 | 56 (35.2) | 63 (39.6) | 40 (25.2) |
| Information Technology | 157 | 54 (34.4) | 73 (46.5) | 30 (19.1) |
| Financial activities | 125 | 43 (34.4) | 54 (43.2) | 28 (22.4) |
| Transportation and Warehousing | 80 | 26 (32.5) | 34 (42.5) | 20 (25.0) |
| Education | 183 | 51 (27.9) | 62 (33.9) | 70 (38.3) |
| Professional and Business Services | 139 | 37 (26.6) | 63 (45.3) | 39 (28.1) |
| Retail | 187 | 40 (21.4) | 101 (54.0) | 46 (24.6) |
| Government and Non-profit | 150 | 31 (20.7) | 65 (43.3) | 54 (36.0) |
| Other | 163 | 46 (28.2) | 84 (51.5) | 33 (20.2) |