Comparing American college and noncollege young adults on e-cigarette use patterns including polysubstance use and reasons for using e-cigarettes

Abstract

Objective: Existing literature on young adults’ e-cigarette and polysubstance use focused on college students. This study examined the differences between college and noncollege groups on prevalence and patterns of e-cigarette and other substance use using data from a national survey. Participants: Adults aged 18–24 from the 2013–2014 Population Assessment of Tobacco and Health Study (n?=?6,608). Methods: Independent sample t-tests and Chi-square tests were conducted to examine group differences. Results: Noncollege young adults had higher prevalence of cigarette, e-cigarette, and marijuana use; college students had higher prevalence of alcohol use. Among current e-cigarette users, college students had higher prevalence of polysubstance use of alcohol and marijuana. College students used e-cigarettes for socializing purposes more. Conclusions: Differences in prevalence and patterns of e-cigarette and other substance use between college and noncollege groups exist. Future interventions should target the social context of college life and reach out to noncollege young adults in workplaces.     

Electronic cigarette and combustible cigarette use following a campus-wide ban: Prevalence of use and harm perceptions

Abstract

The current study examined changes in prevalence of e-cigarette use and perceptions of the harmfulness of e-cigarette and combustible cigarettes following a campus-wide tobacco ban. Undergraduate students completed surveys of tobacco use and perceived product harmfulness. Four samples were collected: in 2013 prior to the ban (n?=?792) and in fall 2014 (n?=?310), 2015 (n?=?208), and 2016 (n?=?417). E-cigarette use increased in the years following the ban (p?=?.01) while combustible cigarette use decreased from 2013 to 2016 (p?=?.02). Men were more likely than women to use both products (ps?<?.05). Students’ perceptions of the harmfulness of combustible and electronic cigarettes remained stable in the years following the ban (p?>?.05). This study is the first to examine the impact of including e-cigarettes in tobacco free policies. Combustible cigarette use declined, but e-cigarette use increased in the years following the e-cigarette ban. Prospective research is needed to understand the long-term impacts of e-cigarette bans.     

Using the Ecological Model to understand influences on college student vaping

ABSTRACT

Objective The Ecological Model was used to examine the social and environmental influences of the college environment on e-cigarette use (vaping) among college students. Participants: Undergraduate college student e-cigarette users (vapers) across three large college campuses in the southwest US from Jan 2015- Aug 2016. Methods: Thirty-three interviews were conducted. Transcribed interviews were coded then analyzed for themes. Results: College student vapers report multiple levels of influence on their vaping beyond personal beliefs and peer influences, including parents, explicit campus and community messaging, community member requests, and respect for others. College student vapers also describe constant associations with smokers in allowable public places to vape. Conclusions: Parents, community members, campus policy, and the physical environment all influence where and when college students vape. Health communication messages to prevent college student vaping should incorporate alternative messages that are important to college students, such as respect for others and social image.     

College Health Professionals and Academic Librarians: Collaboration for Student Health

College health professionals must find new ways of educating students on finding and evaluating consumer health information, specifically in the online environment. Librarians are trained as information professionals; however, librarians at general academic libraries are not taking a lead role in providing consumer health information. Objective: The authors' purpose in this research was to determine the health information resource needs of college and university students and provide a model for collaboration between college health professionals and academic librarians. Participants and Methods: The authors compared data from a national survey on college health (N = 54,111) with their own results from a survey of general academic librarians (N = 17) to create recommendations for synching students' reported health information needs with librarians' resources. Results: Although the Internet was students' second most-often consulted health information source, they ranked the believability of online health information above only television. In the librarian survey, although 12 respondents indicated that health information provision is a library's responsibility, the majority (n = 11) believed their library's consumer health outreach to be passive. Conclusions: The authors offer recommendations for partnerships between college healthcare professionals and academic librarians to better provide this information to students.     

The association between sensation seeking and e-cigarette use in Texas young adults: A cross-sectional study

Objective: To examine the associations between sensation seeking and ever and current e-cigarette use in Texas young adults (18–29 years old). Current cigarette use was examined as a potential effect modifier of the associations. Participants: Participants included college students enrolled in four-year and two-year colleges in four metropolitan areas in Texas (n = 5,418) who completed the survey between November 2014 and February 2015. Methods: This cross-sectional study utilized mixed effects logistic regression to determine the associations between mean sensation seeking scores and ever and current e-cigarette use after controlling for covariates. Results: After controlling for covariates, significant associations between sensation seeking and both ever and current e-cigarette use were observed; however, these associations were significant for noncurrent smokers only (adjusted odds rations [AOR] = 1.55, 95% confidence interval (CI) = 1.39, 1.73; AOR = 1.82, 95% CI = 1.54, 2.15, respectively). Conclusions: Sensation seeking is an important factor in identifying college students who may be at increased risk for e-cigarette use behaviors.     

Event-related clinical distress in college students: Responses to the 2016 U.S. Presidential election

Abstract

Objectives: College students have cited the 2016?U.S. presidential election as a significant source of stress. The current study examined the prevalence and demographic correlates of clinically significant election-related avoidance and intrusion symptoms among college students 2–3?months after the election. Participants: College students attending a large public university (N?=?769; M_age?=?19.19; 48.2% female; 58.4% White) were surveyed in January and February 2017. Methods: Participants completed a validated measure of clinically significant event-related distress symptoms (eg, intrusive thoughts, avoidance) and demographic questions. Results: One out of four students met criteria for clinically significant symptoms related to the election. Regression analyses suggested that sex, political party, religion, and perceived impact of the election on relationships were more useful predictors of stress symptoms than race or social class. Conclusions: The high level of event-related distress is concerning because elevated symptoms of event-related stress are predictive of future distress and subsequent PTSD diagnoses.     

Rural-urban differences in college students’ cardiovascular risk perceptions

Abstract

Objective: To examine rural-urban differences in college students’ cardiovascular risk perceptions. Participants: College students in rural (n?=?61) and urban (n?=?57) Kentucky counties were recruited from November 2012 to May 2014. Methods: This was a secondary data analysis of a cross-sectional study examining rural-urban differences in cardiovascular risk factors. Students rated their risk for developing high blood pressure, diabetes, high cholesterol, heart disease, having a stroke, and gaining excess weight. Chi-square and logistic regression were used for data analysis. Results: Rural students had lower odds of perceived high risk for developing high blood pressure compared to urban students (odds ratio (OR): 0.32, 95% CI: 0.11–0.96) after adjusting for race, sex, and body mass index. This association was not observed after adjusting for healthcare access variables. No other significant differences were observed. Conclusions: Efforts to raise perceived risk for developing hypertension among rural college students may be warranted.     

Decision making processes and alcohol use among college students

Abstract

Objective: The neurobiological model of risk-taking and the dual-process model of decision making each provide possible explanations of risky behavior among youth, but their interconnections have rarely been explored, especially among college students, a time of increased alcohol use. Participants: n?=?382; Mage?=?19.25, SD?=?1.33. Method: Participants completed a survey about their deliberative and intuitive decision making style (based on the dual-process model), their socioemotional and cognitive control processes (based on the neurobiological model), and alcohol use. Results: Structural equation modeling showed that dual-process variables and neurobiological variables were positively related. Deliberative decision making and cognitive control were negatively related to alcohol use whereas intuitive decision making was not. Comment: Discussion focuses on the integration of theoretical models with real-world health behaviors and considers implications of the current findings in terms of prevention and intervention to reduce drinking among college students.     

College students' perceptions of risk and addictiveness of e-cigarettes and cigarettes

Background: As conventional cigarette use is declining, electronic cigarette (“e-cigarette”) use is rising and is especially high among college students. Few studies examine dual use of e-cigarettes and cigarettes among this population. This study explores the relationship between dual and exclusive e-cigarette / cigarette use and perceptions of harm and addictiveness of both products. Methods: This is a cross-sectional analysis of data from students attending 24 colleges in Texas (n=5,482). Multinomial logistic regression was employed to test the association between current e-cigarette / cigarette use and perceived harm and addictiveness of both products. Three tobacco groups were included: cigarette only users, e-cigarette only users, and dual users. Results: Dual users reported lower perceived harm of e-cigarettes most consistently (p<0.001, all comparisons). Perceived harm of cigarettes was significantly lower among cigarette only and dual users only, compared to non-users (p<0.001, all comparisons). Compared to non-users, all three groups reported significantly lower perceived addictiveness of e-cigarettes (p<0.001, all comparisons). The same finding was observed for perceived addictiveness of cigarettes, though findings were less consistent for the e-cigarette only group (p<0.02, all comparisons except one). Conclusion: Findings demonstrate that among college students, perceptions of harm and addictiveness of e-cigarettes are lower than those for conventional cigarettes. For both products, perceptions of harm and addictiveness were lower among exclusive and dual users, compared to non-users.     

Does the Andersen Behavioral Model of Health Services Use predict college students’ use of on-campus mental health services?

Abstract

Objective: 10–50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students’ use of on-campus mental health resources using the American College Health Association’s National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18–35?years (n?=?96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen’s Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student’s decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.     

Health Information-Seeking in the Digital Age

Abstract

Objective: The authors examined the sources of health information among first-year university students and whether the predictors of information-seeking varied by information source. Participants: First-year students in a required course at a midwestern public university were eligible to participate, and 82% (n = 1,060) completed the study. Methods: Students completed a survey questionnaire regarding information-seeking behaviors and Internet uses in domains including health. The authors used regression analyses to examine predictors of source-specific health information-seeking. Results: Young women are much more likely than young men to seek health information. The characteristics associated with looking online for health information are different than those for using other information sources, and students who look online for health information also report greater use of other information sources. Conclusions: Although the Internet is an important source of health information for students, health professionals should be aware that not all students equally utilize this resource.     

Flourishing: Exploring Predictors of Mental Health Within the College Environment

Abstract

Objective: To explore the predictive factors of student mental health within the college environment. Participants: Students enrolled at 7 unique universities during years 2008 (n = 1,161) and 2009 (n = 1,459). Methods: Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment. Results: In addition to replicating previous findings related to Keyes’ Mental Health Continuum, multiple regression analysis revealed several predictors of college student mental health, including supportive college environments, students’ sense of belonging, professional confidence, and civic engagement. However, multiple measures of engaged learning were not found to predict mental health. Conclusions: Results suggest that supportive college environments foster student flourishing. Implications for promoting mental health across campus are discussed. Future research should build on exploratory findings and test confirmatory models to better understand relationships between the college environment and student flourishing.     

Knowledge of Acute Human Immnuodeficiency Virus Infection Among Gay and Bisexual Male College Students

Abstract

Objective: To examine human immunodeficiency virus (HIV)–related knowledge, attitudes, and behaviors in at-risk college men who have sex with men (MSM), focusing on knowledge about acute HIV infection (AHI). Participants and Methods: A one-time anonymous survey was administered to college students attending a lesbian, gay, bisexual, transgender, and queer conference in February 2012. This article reports on a study subsample of MSM. Results: A total of 100 MSM completed the survey. Participants had an average age of 20.4 years. Sixty-six percent reported condom use the last time they had sex. Only 46% had ever heard of symptoms related to AHI. Forty-two percent would likely seek medical care when showing acute symptoms in a setting consistent with AHI. Conclusion: Despite having multiple risk factors for HIV infection, many MSM college students are unaware of AHI. HIV prevention programs should target this population and include information about signs, symptoms, and diagnosis of AHI.     

Assessing God Locus of Control as a Factor in College Students’ Alcohol Use and Sexual Behavior

Abstract. Objectives: This study explored God locus of control beliefs (ie, God's control over behavior) regarding their influence on alcohol use and sexual behavior as an alternative religiosity measure to religious behaviors, which does not capture perceived influence of religiosity. Additionally, demographic differences in religious beliefs were explored. Methods: College students aged 18–24 (N = 324) completed a survey between April 2012 and March 2013. Principal components and multivariate analyses were conducted. Results: Findings suggest that measures provide reliable, valid data from college students. God locus of control is linked to not consuming alcohol or engaging in sex. There were differences regarding relationship status and religious denomination. Conclusions: God locus of control beliefs are an appropriate construct for collecting data about college students’ religiosity. Furthermore, health educators at faith-based institutions could incorporate this construct into their programming, encouraging abstinence but also behaving responsibly for those who do drink and are sexually experienced.     

Truth® ads,receptivity, and motivation to use or quit tobacco among college students

Abstract

Objective: Examine receptivity and motivation to use/quit tobacco among college students after viewing Truth ads. Participants: Random sample of 10,000 college students invited to complete online survey February 2016 (8.5% response rate). Methods: Quasi-experimental. Participants (N?=?854) watched four ads and answered survey items for each ad. Results: Students rated ad receptivity and decreased motivation to use tobacco higher for the Catmageddon ad than the others. Regardless of ad, men and current cigarette smokers reported lower receptivity. Younger age was associated with lower motivation to use tobacco for all ads. Tobacco users reported greater motivation to quit with the Catmageddon ad. Conclusions: College students were receptive to the Truth ads, and many indicated lower motivation to use tobacco. Men, older college students, and current cigarette smokers were less receptive to the ads, reinforcing the need to develop tailored campaigns to reach these subgroups.     

College Students and HIV/AIDS: A Comparison of Nontraditional and Traditional Student Perspectives

Objective and Participants The authors compared nontraditional college students' knowledge and perceptions of HIV/AIDS and sexual practices with previously reported results about traditional students. Methods Nontraditional students completed an online survey with questions based on national HIV/AIDS surveys. Traditional students completed the same survey with paper and pencil. Results Overall, the authors found more similarities than differences between the 2 groups. The findings support previous research that suggests that although college students are knowledgeable about HIV and its risks, they express little personal concern about becoming infected. The authors also discuss how apparent differences between nontraditional and traditional students regarding personal concern about becoming infected, relationship status, and information sources may influence the development of effective prevention strategies geared toward nontraditional college students. Conclusions Institutional leaders need to adapt to these differences, and researchers should undertake additional studies to clarify these differences so that college students may be more effectively educated about HIV/AIDS and encouraged to get tested.     

Patterns of alcohol use and marijuana use among students at 2- and 4-year institutions

Objective: The objective of this study was to understand substance use patterns of alcohol, marijuana, and simultaneous alcohol and marijuana (SAM) use among 2- and 4-year college students. Participants: Participants were 526 young adults aged 18–23 (n?=?355 4-year students; n?=?171 2-year students) recruited from February 2015 to January 2016 who were participating in a larger longitudinal study. Methods: Latent class analysis (LCA) was used to identify past-month classes of alcohol, marijuana, and SAM use. Results: Among both 2- and 4-year students, a four-class solution yielded the best-fitting model, with 2-year classes tending to include greater marijuana use and less alcohol use and 4-year classes tending to include heavy alcohol use. Demographic characteristics were largely similar across classes. Conclusions: Classes of alcohol, marijuana, and SAM use differed by education status. Screening and prevention efforts for 4-year students may need to be tailored for the needs of 2-year students.     

Factors influencing college women's contraceptive behavior: An application of the integrative model of behavioral prediction

Objective: This study investigated variables within the Integrative Model of Behavioral Prediction (IMBP) as well as differences across socioeconomic status (SES) levels within the context of inconsistent contraceptive use among college women. Participants: A nonprobability sample of 515 female college students completed an Internet-based survey between November 2014 and February 2015. Methods: Respondents were asked about their contraception use, knowledge and information sources, demographic information, and IMBP factors, including attitudes, norms, and perceived behavioral control (PBC). Results: While overall attitudes, norms, PBC, and intentions for contraceptive use were high, only 46.8% of women used contraception consistently. Data also revealed only moderate levels of knowledge about contraception. While there were no differences across SES levels for attitudes, PBC, norms or knowledge, SES levels did differ in sources used to acquire contraceptive information. Conclusions: This study highlights the need to consider where college women acquire contraceptive information which is associated with SES.     

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.