Skip to main content
Top
Published in: Journal of Community Health 1/2021

01-02-2021 | Mood Disorders | Original Paper

A Retrospective Cross-Sectional Study on the Prevalence of E-cigarette Use Among College Students

Authors: Rebecca D. Jones, Matthew Asare, Beth Lanning

Published in: Journal of Community Health | Issue 1/2021

Login to get access

Abstract

E-cigarette use among young adults is a major public health concern. Approximately 17.7–40% of college students have tried or are currently using e-cigarettes. While a few studies have examined e-cigarette use among youth, opportunity exists to understand psychosocial factors that influence college students’ e-cigarette behavior. The main purpose of this study is to examine the associations between the constructs of self-efficacy, knowledge, depression and anxiety symptoms, and e-cigarette use among college students. A retrospective cross-sectional survey (20-items) design was used for data collection. Bivariate analysis and analysis of variance (ANOVA) were used to evaluate associations between the independent variables and the dependent variable. A total of 872 college students between the ages of 18 and 25 completed the survey in Qualtrics. A significant association between gender and frequency of e-cigarette use was found (χ2 = 22.94, p < .001). ANOVA results showed significant relationships between knowledge [F (3, 808) = 9.01, p < 0.001], self-efficacy [F (3, 808) = 4.85, p < 0.01], depression [F (3,808) = 8.31, p < .05], and e-cigarette use. Post hoc analysis revealed students who never used e-cigarettes scored higher on knowledge and self-efficacy than students who used every day, somedays or rarely, indicating never-users have higher knowledge of negative effects associated with e-cigarette use and have higher self-confidence than e-cigarette users. The study’s findings highlight that modifiable factors such as knowledge about harmful effects of e-cigarettes and self-confidence are associated with low e-cigarette use. Interventions could be designed to target these modifiable factors.
Literature
1.
go back to reference Bacon, D. R., & Bean, B. (2006). GPA in research studies: An invaluable but neglected opportunity. Journal of Marketing Education, 28(1), 35–42. Bacon, D. R., & Bean, B. (2006). GPA in research studies: An invaluable but neglected opportunity. Journal of Marketing Education, 28(1), 35–42.
2.
go back to reference Bandiera, F. C., Loukas, A., Li, X., Wilkinson, A. V., & Perry, C. L. (2017). Depressive symptoms predict current e-cigarette use among college students in Texas. Nicotine & Tobacco Research, 19(9), 1102–1106.CrossRef Bandiera, F. C., Loukas, A., Li, X., Wilkinson, A. V., & Perry, C. L. (2017). Depressive symptoms predict current e-cigarette use among college students in Texas. Nicotine & Tobacco Research, 19(9), 1102–1106.CrossRef
3.
go back to reference Begdache, L., Kianhehr, H., Sabounchi, N., Marszalek, A., & Doman, N. (2019). Principal component regression of academic performance, substance use, and sleep quality in relation to risk of anxiety and depression in young adults. Trends in Neuroscience and Education., 15, 29–37.PubMedCrossRef Begdache, L., Kianhehr, H., Sabounchi, N., Marszalek, A., & Doman, N. (2019). Principal component regression of academic performance, substance use, and sleep quality in relation to risk of anxiety and depression in young adults. Trends in Neuroscience and Education., 15, 29–37.PubMedCrossRef
4.
go back to reference Brake, S. J., Barnsley, K., Lu, W., McAlinden, K. D., Eapen, M. S., & Sohal, S. S. (2020). Smoking upregulates angiotensin-converting enzyme-2 receptor: A potential adhesion site for novel coronavirus SARS-CoV-2 (Covid-19). Journal of Clinical Medicine, 9(3), 841. https://doi.org/10.3390/jcm9030841. Brake, S. J., Barnsley, K., Lu, W., McAlinden, K. D., Eapen, M. S., & Sohal, S. S. (2020). Smoking upregulates angiotensin-converting enzyme-2 receptor: A potential adhesion site for novel coronavirus SARS-CoV-2 (Covid-19). Journal of Clinical Medicine, 9(3), 841. https://​doi.​org/​10.​3390/​jcm9030841.
5.
go back to reference Case, K., Crook, B., Lazard, A., & Mackert, M. (2016). Formative research to identify perceptions of e-cigarettes in college students: Implications for future health communication campaigns. Journal of American College Health, 64(5), 380–389.PubMedCrossRef Case, K., Crook, B., Lazard, A., & Mackert, M. (2016). Formative research to identify perceptions of e-cigarettes in college students: Implications for future health communication campaigns. Journal of American College Health, 64(5), 380–389.PubMedCrossRef
6.
go back to reference Cassady, J. C. (2001). Self-reported GPA and SAT: A methodological note. Practical Assessment, Research & Evaluation, 7(7), 2000–2001. Cassady, J. C. (2001). Self-reported GPA and SAT: A methodological note. Practical Assessment, Research & Evaluation, 7(7), 2000–2001.
7.
go back to reference Chan, G., Morphett, K., Gartner, C., Leung, J., Yong, H. H., Hall, W., et al. (2019). Predicting vaping uptake, vaping frequency and ongoing vaping among daily smokers using longitudinal data from the International Tobacco Control (ITC) Four Country Surveys. Addiction, 114, 61–70.PubMedCrossRef Chan, G., Morphett, K., Gartner, C., Leung, J., Yong, H. H., Hall, W., et al. (2019). Predicting vaping uptake, vaping frequency and ongoing vaping among daily smokers using longitudinal data from the International Tobacco Control (ITC) Four Country Surveys. Addiction, 114, 61–70.PubMedCrossRef
8.
go back to reference Chaiton, M., Cohen, J. E., Rehm, J., Abdulle, M., & O'Loughlin, J. (2015). Confounders or intermediate variables? Testing mechanisms for the relationship between depression and smoking in a longitudinal cohort study. Addictive Behaviors, 42, 154–161.PubMedCrossRef Chaiton, M., Cohen, J. E., Rehm, J., Abdulle, M., & O'Loughlin, J. (2015). Confounders or intermediate variables? Testing mechanisms for the relationship between depression and smoking in a longitudinal cohort study. Addictive Behaviors, 42, 154–161.PubMedCrossRef
9.
go back to reference Coleman, B. N., Apelberg, B. J., Ambrose, B. K., Green, K. M., Choiniere, C. J., Bunnell, R., et al. (2015). Association between electronic cigarette use and openness to cigarette smoking among US young adults. Nicotine and Tobacco Research, 17(2), 212–218.PubMedCrossRef Coleman, B. N., Apelberg, B. J., Ambrose, B. K., Green, K. M., Choiniere, C. J., Bunnell, R., et al. (2015). Association between electronic cigarette use and openness to cigarette smoking among US young adults. Nicotine and Tobacco Research, 17(2), 212–218.PubMedCrossRef
10.
go back to reference Copeland, A. L., Peltier, M. R., & Waldo, K. (2017). Perceived risk and benefits of e-cigarette use among college students. Addictive Behaviors, 71, 31–37.PubMedCrossRef Copeland, A. L., Peltier, M. R., & Waldo, K. (2017). Perceived risk and benefits of e-cigarette use among college students. Addictive Behaviors, 71, 31–37.PubMedCrossRef
11.
go back to reference Counotte, D. S., Spijker, S., van de Burgwal, L. H., Hogenboom, F., Schoffelmeer, A. N. M., de Vries, T. J., et al. (2009). Long-lasting cognitive deficits resulting from adolescent nicotine exposure in rats. Neuropsychopharmacology, 34(2), 299–306.PubMedCrossRef Counotte, D. S., Spijker, S., van de Burgwal, L. H., Hogenboom, F., Schoffelmeer, A. N. M., de Vries, T. J., et al. (2009). Long-lasting cognitive deficits resulting from adolescent nicotine exposure in rats. Neuropsychopharmacology, 34(2), 299–306.PubMedCrossRef
12.
go back to reference Delnevo, C. D., Giovenco, D. P., Steinberg, M. B., Villanti, A. C., Pearson, J. L., Niaura, R. S., et al. (2016). Patterns of electronic cigarette use among adults in the United States. Nicotine & Tobacco Research, 18, 715–719.CrossRef Delnevo, C. D., Giovenco, D. P., Steinberg, M. B., Villanti, A. C., Pearson, J. L., Niaura, R. S., et al. (2016). Patterns of electronic cigarette use among adults in the United States. Nicotine & Tobacco Research, 18, 715–719.CrossRef
13.
go back to reference Fountain, S. B., Rowan, J. D., Kelley, B. M., Willey, A. R., & Nolley, E. P. (2008). Adolescent exposure to nicotine impairs adult serial pattern learning in rats. Experimental Brain Research, 187(4), 651–656.PubMedCrossRef Fountain, S. B., Rowan, J. D., Kelley, B. M., Willey, A. R., & Nolley, E. P. (2008). Adolescent exposure to nicotine impairs adult serial pattern learning in rats. Experimental Brain Research, 187(4), 651–656.PubMedCrossRef
14.
go back to reference Grana, R. A., & Ling, P. M. (2014). “Smoking revolution”: A content analysis of electronic cigarette retail websites. American Journal of Preventive Medicine, 46(4), 395–403.PubMedPubMedCentralCrossRef Grana, R. A., & Ling, P. M. (2014). “Smoking revolution”: A content analysis of electronic cigarette retail websites. American Journal of Preventive Medicine, 46(4), 395–403.PubMedPubMedCentralCrossRef
15.
go back to reference Grant, J. E., Lust, K., Fridberg, D. J., King, A. C., & Chamberlain, S. R. (2019). E-cigarette use (vaping) is associated with illicit drug use, mental health problems, and impulsivity in university students. Annals of Clinical Psychiatry: Official Journal of the American Academy of Clinical Psychiatrists, 31(1), 27.CrossRef Grant, J. E., Lust, K., Fridberg, D. J., King, A. C., & Chamberlain, S. R. (2019). E-cigarette use (vaping) is associated with illicit drug use, mental health problems, and impulsivity in university students. Annals of Clinical Psychiatry: Official Journal of the American Academy of Clinical Psychiatrists, 31(1), 27.CrossRef
16.
go back to reference Hefner, K. R., Sollazzo, A., Mullaney, S., Coker, K. L., & Sofuoglu, M. (2019). E-cigarettes, alcohol use, and mental health: Use and perceptions of e-cigarettes among college students, by alcohol use and mental health status. Addictive Behaviors, 91, 12–20.PubMedCrossRef Hefner, K. R., Sollazzo, A., Mullaney, S., Coker, K. L., & Sofuoglu, M. (2019). E-cigarettes, alcohol use, and mental health: Use and perceptions of e-cigarettes among college students, by alcohol use and mental health status. Addictive Behaviors, 91, 12–20.PubMedCrossRef
17.
go back to reference Ĩiguez, S. D., Warren, B. L., Parise, E. M., Alcantara, L. F., Schuh, B., Maffeo, M. L., et al. (2009). Nicotine exposure during adolescence induces a depression-like state in adulthood. Neuropsychopharmacology, 34(6), 1609–1624.CrossRef Ĩiguez, S. D., Warren, B. L., Parise, E. M., Alcantara, L. F., Schuh, B., Maffeo, M. L., et al. (2009). Nicotine exposure during adolescence induces a depression-like state in adulthood. Neuropsychopharmacology, 34(6), 1609–1624.CrossRef
19.
go back to reference Kosmider, L., Sobczak, A., Fik, M., Knysak, J., Zaciera, M., Kurek, J., et al. (2014). Carbonyl compounds in electronic cigarette vapors: Effects of nicotine solvent and battery output voltage. Nicotine & Tobacco Research, 16(10), 1319–1326.CrossRef Kosmider, L., Sobczak, A., Fik, M., Knysak, J., Zaciera, M., Kurek, J., et al. (2014). Carbonyl compounds in electronic cigarette vapors: Effects of nicotine solvent and battery output voltage. Nicotine & Tobacco Research, 16(10), 1319–1326.CrossRef
20.
go back to reference Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ‐9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613. Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ‐9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.
21.
go back to reference Lanza, H. I., & Teeter, H. (2018). Electronic nicotine delivery systems (e-cigarette/vape) use and co-occurring health-risk behaviors among an ethnically diverse sample of young adults. Substance Use & Misuse, 53(1), 154–161.CrossRef Lanza, H. I., & Teeter, H. (2018). Electronic nicotine delivery systems (e-cigarette/vape) use and co-occurring health-risk behaviors among an ethnically diverse sample of young adults. Substance Use & Misuse, 53(1), 154–161.CrossRef
22.
go back to reference Lechner, W. V., Janssen, T., Kahler, C. W., Audrain-McGovern, J., & Leventhal, A. M. (2017). Bi-directional associations of electronic and combustible cigarette use onset patterns with depressive symptoms in adolescents. Preventive Medicine, 96, 73–78.PubMedCrossRef Lechner, W. V., Janssen, T., Kahler, C. W., Audrain-McGovern, J., & Leventhal, A. M. (2017). Bi-directional associations of electronic and combustible cigarette use onset patterns with depressive symptoms in adolescents. Preventive Medicine, 96, 73–78.PubMedCrossRef
23.
24.
25.
go back to reference Mykletun, A., Overland, S., Aarø, L. E., Liabø, H. M., & Stewart, R. (2008). Smoking in relation to anxiety and depression: evidence from a large population survey: The HUNT study. European Psychiatry, 23(2), 77–84.PubMedCrossRef Mykletun, A., Overland, S., Aarø, L. E., Liabø, H. M., & Stewart, R. (2008). Smoking in relation to anxiety and depression: evidence from a large population survey: The HUNT study. European Psychiatry, 23(2), 77–84.PubMedCrossRef
26.
go back to reference Obisesan, O. H., Mirbolouk, M., Osei, A. D., Orimoloye, O. A., Uddin, S. I., Dzaye, O., et al. (2019). Association between e-cigarette use and depression in the behavioral risk factor surveillance system, 2016–2017. JAMA Network Open, 2(12), e1916800.PubMedPubMedCentralCrossRef Obisesan, O. H., Mirbolouk, M., Osei, A. D., Orimoloye, O. A., Uddin, S. I., Dzaye, O., et al. (2019). Association between e-cigarette use and depression in the behavioral risk factor surveillance system, 2016–2017. JAMA Network Open, 2(12), e1916800.PubMedPubMedCentralCrossRef
27.
go back to reference Pokhrel, P., Fagan, P., Little, M. A., Kawamoto, C. T., & Herzog, T. A. (2013). Smokers who try e-cigarettes to quit smoking: Findings from a multiethnic study in Hawaii. American Journal of Public Health, 103(9), e57–e62.PubMedPubMedCentralCrossRef Pokhrel, P., Fagan, P., Little, M. A., Kawamoto, C. T., & Herzog, T. A. (2013). Smokers who try e-cigarettes to quit smoking: Findings from a multiethnic study in Hawaii. American Journal of Public Health, 103(9), e57–e62.PubMedPubMedCentralCrossRef
28.
go back to reference Schoenborn, C., & Gindi, R. (2016). Cigarette smoking status among current adult E-cigarette users, by age group—national health interview survey, united states, 2015. MMWR-Morbidity and Mortality Weekly Report, 65(42), 1177–1177.CrossRef Schoenborn, C., & Gindi, R. (2016). Cigarette smoking status among current adult E-cigarette users, by age group—national health interview survey, united states, 2015. MMWR-Morbidity and Mortality Weekly Report, 65(42), 1177–1177.CrossRef
29.
go back to reference Schwarzer, R., & Jerusalem, M. (1995). Generalized self-Efficacy scale. In J. Weinman, S. Wright & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). Windsor, UK: NFER-Nelson. Schwarzer, R., & Jerusalem, M. (1995). Generalized self-Efficacy scale. In J. Weinman, S. Wright & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). Windsor, UK: NFER-Nelson.
30.
go back to reference Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097.
31.
go back to reference The National Center on Addiction and Substance Abuse. (2008). Beyond cigarettes: The risks of non-cigarette nicotine products and implications for tobacco control. The National Center on Addiction and Substance Abuse. https://www.centeronaddiction.org/. The National Center on Addiction and Substance Abuse. (2008). Beyond cigarettes: The risks of non-cigarette nicotine products and implications for tobacco control. The National Center on Addiction and Substance Abuse. https://​www.​centeronaddictio​n.​org/​.
32.
go back to reference U.S. Department of Health and Human Services. (2016). E-cigarette use among youth and young adults. A report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. U.S. Department of Health and Human Services. (2016). E-cigarette use among youth and young adults. A report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.
33.
go back to reference Wallace, L. N., & Roache, M. J. (2018). Vaping in context: Links among E-cigarette use, social status, and peer influence for college students. Journal of Drug Education, 48(102), 36–53.CrossRef Wallace, L. N., & Roache, M. J. (2018). Vaping in context: Links among E-cigarette use, social status, and peer influence for college students. Journal of Drug Education, 48(102), 36–53.CrossRef
34.
go back to reference Wiseman, K. P., Margolis, K. A., Bernat, J. K., & Grana, R. A. (2019). The association between perceived e-cigarette and nicotine addictiveness, information-seeking, and e-cigarette trial among US adults. Preventive Medicine, 118, 66–72.PubMedCrossRef Wiseman, K. P., Margolis, K. A., Bernat, J. K., & Grana, R. A. (2019). The association between perceived e-cigarette and nicotine addictiveness, information-seeking, and e-cigarette trial among US adults. Preventive Medicine, 118, 66–72.PubMedCrossRef
Metadata
Title
A Retrospective Cross-Sectional Study on the Prevalence of E-cigarette Use Among College Students
Authors
Rebecca D. Jones
Matthew Asare
Beth Lanning
Publication date
01-02-2021
Publisher
Springer US
Published in
Journal of Community Health / Issue 1/2021
Print ISSN: 0094-5145
Electronic ISSN: 1573-3610
DOI
https://doi.org/10.1007/s10900-020-00869-x

Other articles of this Issue 1/2021

Journal of Community Health 1/2021 Go to the issue