Menthol Cigarette Smoking and Obesity in Young Adult Daily Smokers in Hawaii

This study investigates 1) the relationship between menthol cigarette smoking and obesity and 2) the association of body mass index with the nicotine metabolite ratio among menthol and non-menthol daily smokers aged 18–35 (n = 175). A brief survey on smoking and measures of height and weight, carbon monoxide, and saliva samples were collected from participants from May to December 2013 in Honolulu, Hawaii. Multiple regression was used to estimate differences in body mass index among menthol and non-menthol smokers and the association of menthol smoking with obesity. We calculated the log of the nicotine metabolite ratio to examine differences in the nicotine metabolite ratio among normal, overweight, and obese smokers. Sixty-eight percent of smokers used menthol cigarettes. Results showed that 62% of normal, 54% of overweight, and 91% of obese smokers used menthol cigarettes (p = .000). The mean body mass index was significantly higher among menthol compared with non-menthol smokers (29.4 versus 24.5, p = .000). After controlling for gender, marital status, educational attainment, employment status, and race/ethnicity, menthol smokers were more than 3 times as likely as non-menthol smokers to be obese (p = .04). The nicotine metabolite ratio was significantly lower for overweight menthol smokers compared with non-menthol smokers (.16 versus .26, p = .02) in the unadjusted model, but was not significant after adjusting for the covariates. Consistent with prior studies, our data show that menthol smokers are more likely to be obese compared with non-menthol smokers. Future studies are needed to determine how flavored tobacco products influence obesity among smokers

The Effects of E-Cigarette Use on Alcohol and Marijuana Abuse Symptoms in an Ethnically Diverse Sample of Young Adults

Background: We examined e-cigarette use as a prospective predictor of alcohol and marijuana abuse symptoms in a sample consisting of Native Hawaiian and Other Pacific Islander (NHPI), Filipino, Asian (i.e., Japanese, Chinese, Korean), and White young adults. NHPI represent a highly vulnerable group with regard to substance use and are severely understudied. Methods: Data were collected from 1463 young adults (M age = 22.2, SD = 3.2; 59.5% women) enrolled across community colleges in Hawai‘i at two time-points six months apart. Results: Higher frequency of e-cigarette use at baseline was predictive of higher alcohol (B = 0.06, SE = 0.02, p < 0.01) and marijuana (B = 0.06, SE = 0.02, p < 0.01) use problems at six-month follow up, adjusting for baseline cigarette smoking, problem alcohol/marijuana use, sensation seeking, and demographic variables. Ethnicity was found to significantly moderate the relationship between baseline e-cigarette use and problem marijuana use later, such that White and NHPI ethnicities were particularly vulnerable to the effects of e-cigarette use on problem marijuana use. Conclusion: NHPI are often combined with Asians in national surveys, which obfuscates the higher risks faced by NHPI compared with groups that are routinely classified as Asians (e.g., Chinese, Japanese, Filipinos). The current research highlights the NHPI’s vulnerability in terms of the effects of e-cigarette use on marijuana and alcohol abuse symptoms

Peer Crowds and Tobacco Product Use in Hawai‘i: A Qualitative Study

Background: Young adults often derive self-identity from affiliation with peer crowds, which may be defined as reputation-based peer groups centered around characterizable lifestyle norms. Little is known about peer crowds prevalent among Asian American, Native Hawaiian, and other Pacific Islander (AANHPI) populations and the peer crowds’ normative tobacco and other substance use behavior. To address this gap in knowledge, this study conducted focus groups with young adult community college students. Methods: Focus group discussions were conducted with a convenience sample of 42 young adults (Mean age = 21.5, SD = 2.7) recruited across community colleges on O‘ahu, Hawai‘i. The participants represented 60% women, 55% NHPI, and 29% Asian American. Results: Results indicated the presence of a wide range of peer crowds in the population, which may be classified into the following seven categories prevalent in the literature: Regular, Academic, Alternative, Athlete, Geek, High Risk, and Popular. Several peer crowds within the Alternative, Athlete, Geek, High Risk, and Popular categories appeared to represent subcultures relevant for NHPI young adults. High-risk peer crowds were reported to be vulnerable to different types of substance use. Tobacco product use, particularly e-cigarette use or vaping, was noted to be characteristically present among Popular crowds and certain Athlete crowds. Conclusion: Tobacco and other substance use prevention interventions, such as mass media campaigns, may benefit from targeting high-risk peer crowds, especially those relevant for NHPI young adults, who are at high risk for tobacco and other substance use. E-cigarette use prevention interventions may benefit from paying close attention to vulnerable Popular and Athlete groups

Sugar and Aldehyde Content in Flavored Electronic Cigarette Liquids.

Introduction:Sugars are major constituents and additives in traditional tobacco products, but little is known about their content or related toxins (formaldehyde, acetaldehyde, and acrolein) in electronic cigarette (e-cigarette) liquids. This study quantified levels of sugars and aldehydes in e-cigarette liquids across brands, flavors, and nicotine concentrations (n = 66). Methods:Unheated e-cigarette liquids were analyzed using liquid chromatography mass spectrometry and enzymatic test kits. Generalized linear models, Fisher's exact test, and Pearson's correlation coefficient assessed sugar, aldehyde, and nicotine concentration associations. Results:Glucose, fructose and sucrose levels exceeded the limits of quantification in 22%, 53% and 53% of the samples. Sucrose levels were significantly higher than glucose [χ2(1) = 85.9, p < .0001] and fructose [χ2(1) = 10.6, p = .001] levels. Formaldehyde, acetaldehyde, and acrolein levels exceeded the limits of quantification in 72%, 84%, and 75% of the samples. Acetaldehyde levels were significantly higher than formaldehyde [χ2(1) = 11.7, p = .0006] and acrolein [χ2(1) = 119.5, p < .0001] levels. Differences between nicotine-based and zero-nicotine labeled e-cigarette liquids were not statistically significant for sugars or aldehydes. We found significant correlations between formaldehyde and fructose (-0.22, p = .004) and sucrose (-0.25, p = .002) and acrolein and fructose (-0.26, p = .0006) and sucrose (-0.21, p = .0006). There were no significant correlations between acetaldehyde and any of the sugars or any of the aldehydes and glucose. Conclusions:Sugars and related aldehydes were identified in unheated e-cigarette liquids and their composition may influence experimentation in naïve users and their potential toxicity. Implications:The data can inform the regulation of specific flavor constituents in tobacco products as a strategy to protect young people from using e-cigarettes, while balancing FDA's interest in how these emerging products could potentially benefit adult smokers who are seeking to safely quit cigarette smoking. The data can also be used to educate consumers about ingredients in products that may contain nicotine and inform future FDA regulatory policies related to product standards and accurate and comprehensible labeling of e-cigarette liquids