Literature DB >> 29259060

Electronic nicotine delivery system use behaviour and loss of autonomy among American Indians: results from an observational study.

Dana Mowls Carroll1, Theodore L Wagener2, David M Thompson3, Lancer D Stephens4, Jennifer D Peck3, Janis E Campbell3, Laura A Beebe3.   

Abstract

OBJECTIVE: American Indians (AI) have a high prevalence of electronic nicotine delivery system (ENDS) use. However, little information exists on (ENDS) use, either alone or in combination with cigarettes (dual use), among AI. The objective of this small-scaled study was to examine use behaviours and dependence among exclusive ENDS users and dual users of AI descent. Exclusive smokers were included for comparison purposes.
SETTING: Oklahoma, USA. PARTICIPANTS: Adults of AI descent who reported being exclusive ENDS users (n=27), dual users (n=28) or exclusive cigarette smokers (n=27). MEASURES: Participants completed a detailed questionnaire on use behaviours. The Hooked on Nicotine Checklist (HONC) was used to assess loss of autonomy over cigarettes and was reworded for ENDS. Dual users completed the HONC twice. Sum of endorsed items indicated severity of diminished autonomy. Comparisons were made with non-parametric methods and statistical significance was defined as P<0.05.
RESULTS: Median duration of ENDS use was 2 years among ENDS users and 1 year among dual users. Most ENDS and dual users reported <20 vape sessions per day (72.0% vs 72.0%) with ≤10 puffs per vape session (70.4% vs 69.2%). Severity of diminished autonomy over ENDS was similar among ENDS and dual users (medians: 4 vs 3; P=0.6865). Among dual users, severity of diminished autonomy was lower for ENDS than cigarettes (medians: 3 vs 9; P=<0.0001). Comparing ENDS users with smokers, ENDS users had a lower severity of diminished autonomy (4 vs 8; P=0.0077). Comparing dual users with smokers, median severity of diminished autonomy over cigarettes did not differ (P=0.6865).
CONCLUSIONS: Severity of diminished autonomy was lower for ENDS than cigarettes in this small sample of AI. Future, adequately powered studies should be conducted to fully understand ENDS use patterns and dependence levels in this population. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  epidemiology; psychiatry; public health

Mesh:

Year:  2017        PMID: 29259060      PMCID: PMC5778282          DOI: 10.1136/bmjopen-2017-018469

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first study to provide use and dependence data on electronic nicotine delivery system (ENDS) users of American Indian (AI) descent, a minority population in the USA with high rates of tobacco-related disease and often under-represented in epidemiologic and clinical research. This study describes a novel method for assessing loss of autonomy, a core feature of dependence, in ENDS users by adapting the Hooked on Nicotine Checklist. Due to the small sample size, convenience-based sampling approach and eligibility criteria, generalisations to all AIs in Oklahoma should be made with caution. This study relied on self-report and thus prone to recall bias.

Introduction

Electronic nicotine delivery systems (ENDS), also referred to as e-cigarettes and vaping devices, are a line of relatively new tobacco products that heat a solution, often containing nicotine and flavourants, to generate an aerosol. Although ENDS aerosol is not harmless, it generally contains fewer toxic chemicals than cigarettes—a statement backed by the US Surgeon General.1 In August 2016, the US Food and Drug Administration Center for Tobacco Products (US FDA CTP) was provided the authority to regulate the manufacturing, distribution, and marketing of ENDS in the USA.2 3 To inform their regulatory action, the US FDA CTP has specifically called for research that seeks to understand use behaviours and dependence in ENDS users.4 ENDS use is high among American Indians and Alaskan Natives (AI/AN).5 6 According to data from the 2014 US National Health Interview Survey, 11% of non-Hispanic AI/AN adults currently use ENDS compared with 5% of non-Hispanic White adults.6 Since a commonly reported reason for using ENDS is to help quit or reduce cigarettes7–9 and AI/ANs have a smoking prevalence higher than any other race group in the USA,10 high rates of dual use among AI/ANs might also be expected. Unpublished data from the 2014 Oklahoma Behavioral Risk Factor Surveillance Survey and the Adult Tobacco Survey showed that approximately 5.0% of AI/ANs are exclusive ENDS users and a further 8.5% are dual users compared with 3.2% and 4.0% of non-Hispanic Whites. A major public health question surrounding dual use is whether this behaviour will help or halt smoking cessation efforts.2 No information, to our knowledge, currently exists on use behaviours and dependence in ENDS users of AI/AN descent. To address this literature gap, we describe use behaviours and loss of autonomy, a core feature of dependence, in AI exclusive ENDS users and dual users of ENDS and cigarettes. Since cigarette smokers have been used as a comparison group in prior studies of ENDS,11–13 we also present data on exclusive cigarette smokers of AI descent. The results of this study will be significant for regulatory authorities, such as the US FDA CTP, and public health officials who are actively trying to understand ENDS use behaviour and dependence in priority populations such as AIs.

Methods

Participant recruitment

From March to October 2016, community-based strategies were employed to recruit adults of AI descent who were in one of three groups of current tobacco use: (1) current exclusive cigarette smokers; (2) current exclusive ENDS users; and (3) concurrent users of cigarettes and ENDS, referred to as dual users. Recruitment strategies, previously described,14 included posting recruitment ads online and study staff attending cultural events, tribal health fairs and vape shops in the state of Oklahoma.

Participant eligibility

This study’s inclusion and exclusion criteria were similar to those employed in a previous study of nicotine metabolism among AN tobacco users.15 All participants had to self-report AI race and at least two biological grandparents of AI race. Additionally, participants were between 18 and 65 years of age, and able to speak, read and write the English language. Additional inclusion criteria were employed to result in a sample of ‘regular’ users of cigarettes and/or ENDS. A regular cigarette smoker was defined as someone who has smoked at least five cigarettes per day for the past 3 months, smoked in the past 24 hours and not used tobacco products other than cigarettes in the past 3 months. A regular ENDS user was defined as someone who used an ENDS every day for the past 3 months and in the past 24 hours, and had not used tobacco products other than ENDS in the past 3 months. Although dual use refers to a heterogeneous group, we defined dual users as those who smoked at least five cigarettes per day in the past 3 months and in the past 24 hours, used an ENDS product every day for the past 3 months and in the past 24 hours, and not used tobacco products other than cigarettes and ENDS in the past 3 months. Participants were excluded from any group if they regularly used medications for seizures, tuberculosis or cancer; were currently involved in a tobacco cessation programme or used nicotine replacement therapy; were pregnant or breast feeding; used illicit drugs in the 30 days prior to the study; and used alcohol or marijuana on the day of the study.

Measures

Data on age, gender, marital status, education level, employment status and body mass index were collected. Participants were also asked about their use of tobacco for sacred or ceremonial purposes (ie, traditional tobacco use), a practice common among some AI tribes.16–18 Since ENDS are relatively new to the marketplace and often called different names, the following statement, which was adapted from the US Population Assessment of Tobacco and Health,19 was read by ENDS and dual users prior to collecting information on ENDS use: ‘You said you currently use an electronic nicotine product. These products are battery-powered, use nicotine fluid rather than tobacco leaves, and produce vapor instead of smoke. There are many different names for these devices. Some common brands include Fin, NJOY, Blu, e-Go and Vuse.’ Generic photos (‘cig-a-like’; tank or vapour system; e-cigar; e-pipe; e-hookah) of commonly used ENDS were displayed and participants chose the photo(s) which best resembled the ENDS they currently used. Participants had the option of choosing more than one. Participants were also asked if the ENDS was rechargeable, refillable with e-liquid, if it used cartridges and which nicotine concentration they currently used. Since ENDS users often use more than one flavour or mix flavours, participants reported all flavours they currently used. There is not a standard or commonly accepted method for assessing frequency of ENDS use.2 In this study, ENDS and dual users read the following statement provided by the Ontario Tobacco Research Center to assess frequency of use: ‘A session starts from your first puff and ends with your last puff before you take a break to do something else. A session can last for any length of time and involve any number of puffs, depending in the person. Sometimes these are called vape sessions.’ Participants then responded to four questions: (1) ‘How many sessions have you had with your electronic nicotine product in your lifetime?’; (2) ‘In a typical day, how many sessions do you have?’; (3) ‘How long does one session typically last for you?’; (4) ‘How many puffs do you typically take per session?’. Other variables collected included age of ENDS initiation, age of regular ENDS initiation and duration of use. Among exclusive ENDS users, we asked if they were a never or former smoker. If they were a former smoker, we asked them to recall their number of cigarettes smoked per day (CPD) when smoked and the time since smoked. We also asked dual users to recall their number of CPD prior to ENDS initiation. There are a number of questionnaires with proven utility in assessing dependence to cigarettes.20–23 The Hooked on Nicotine Checklist (HONC), a 10-item screening tool, assesses of loss of autonomy in both adolescents and adults.23 24 Diminished autonomy is a core feature common to all forms of substance dependence, including tobacco dependence.24 HONC does not include measures on heaviness or frequency of use specific to cigarette smoking (eg, CPD). Thus, it can be readily modified to assess loss of autonomy to non-cigarette tobacco products, such as ENDS. In the present study, loss of autonomy over cigarettes was summarised using both continuous scores (0–10) and a dichotomous measure (0=full autonomy; ≥1=diminished autonomy). We reworded the HONC to assess loss of autonomy to ENDS. Dual users completed the HONC twice, once with regard to cigarettes and once with regard to ENDS. Loss of autonomy over ENDS was also summarised using both continuous scores (0–10) and a dichotomous measure (0=full autonomy; ≥1=diminished autonomy). Among dual users and exclusive smokers, measures of cigarette smoking were collected. These measures included the age when participants first tried part or all of a cigarette (ie, age of initiation), the age when participants started smoking cigarettes regularly (ie, age of regular initiation), average number of cigarettes currently smoked per day (CPD), duration of cigarette smoking, presence of a 24-hour quit attempt in the past 12 months and use of menthol cigarettes.

Biochemical assessment of smoking status

The measurement of exhaled carbon monoxide (CO) level provides an immediate, non-invasive assessment of cigarette smoking status.25 CO was collected to biochemically confirm self-reported cigarette smoking status and therefore help reduce information bias. A CO value of ≥10 parts per million (ppm) is commonly used to determine eligibility for studies among smokers.26–30 However, a borderline CO level between 6 and 9 ppm may also reflect cigarette smoking, or among non-smokers it may reflect exposure to second-hand smoke or other sources of CO (eg, car pollution).25 31–33 Moreover, prior studies have required CO levels of <611 or <1012 34 for confirming exclusive ENDS use. Based on this information, we did not exclude individuals from any of the three groups with a CO between 6 and 9 ppm. Thus, ENDS users were included if they had a CO level ≤9 ppm, while cigarette smokers and dual users were included in the study if they had a CO level ≥6 ppm.

Statistical analysis

This study focused on describing characteristics of ENDS users, dual users and smokers of AI descent. Since the study’s primary purpose was descriptive, a formal sample size calculation was not performed. Continuous and ordinal measures were described using median values and categorical measures were described by proportions. Scores and frequencies were compared between the three user groups with the non-parametric Kruskal-Wallis test for ordinal or continuous measures and with a χ2 test or Fisher’s exact test for categorical measures. A P value <0.05 was considered statistically significant for comparison among all three user groups. Significant overall tests were followed by testing for differences between the three pairs of groups, and significance was assessed using a Bonferroni adjustment of alpha=0.017. Statistical analysis was conducted in SAS V.9.4.

Results

A total of 95 individuals participated in the study: 28 ENDS users, 32 dual users and 35 cigarette smokers. Thirteen participants (13.7%) were excluded because their CO values were outside the range for their given tobacco use group. Therefore, results are presented for the 82 participants (27 ENDS users, 28 dual users, 27 cigarette smokers) with CO values in the expected range given their self-reported tobacco use. Table 1 displays data on sociodemographic characteristics and traditional tobacco use for the 82 participants.
Table 1

Sociodemographic characteristics and traditional tobacco use among all participants and by user group

All participants (n=82)ENDS users (n=27)Dual users (n=28)Cigarette smokers (n=27)P value
Age, median41.533.0†41.046.00.0263
Gender, %0.3592
 Male37.829.635.748.2
 Female62.270.464.351.9
Marital status, %0.1261
 Married/member of unmarried couple42.744.428.655.6
 Never married/divorced/separated/widowed57.355.671.444.4
Education level, %0.2567
 At least some college50.063.042.944.4
 High school diploma, GED or less50.037.057.155.6
Employment status*, %0.6162
 Employed for wages/self-employed53.755.646.459.3
 Other46.344.453.640.7
BMI (kg/m2) category, %0.1333
 Normal weight24.730.832.111.1
 Overweight or obese75.369.267.988.9
Traditional/sacred tobacco use in past 3 months, %0.0366
 Yes17.57.411.533.3
 No82.592.688.566.7

*Asked only to those who were employed for wages or self-employed.

†ENDS users significantly different from cigarette smokers at P<0.05.

BMI, body mass index; ENDS, electronic nicotine delivery system; GED, general education diploma.

Sociodemographic characteristics and traditional tobacco use among all participants and by user group *Asked only to those who were employed for wages or self-employed. †ENDS users significantly different from cigarette smokers at P<0.05. BMI, body mass index; ENDS, electronic nicotine delivery system; GED, general education diploma. Table 2 presents data on ENDS use behaviours. Median age first tried an ENDS was 28.5 years among ENDS users and 35.0 years among dual users. Median age started using an ENDS regularly was 30.0 years among ENDS users and 36.5 years among dual users. Median duration of ENDS use was 2 years among ENDS users and 1 year among dual users. When prompted with the option to select the photo which best represented the ENDS currently being used, the vast majority of ENDS users (89%) and dual users (93%) selected a tank or vapour system. The vast majority, if not all, of ENDS users and dual users reported currently using an ENDS which was refillable with e-liquid (89%, 100%) and rechargeable (100%, 96%); while one-third or less (30%, 33%) reported using cartridges. The majority of both ENDS users (80%) and dual users (69%) reported currently using a nicotine concentration of 12 mg or less. More than one-half of ENDS and dual users reported using fruit (67%, 54%) and candy (52%, 57%) flavoured ENDS. Data on number of vape sessions in lifetime, vape sessions per day, puffs per vape session and length of vape session are also displayed in table 2.
Table 2

Electronic nicotine delivery system (ENDS) use characteristics

ENDS users (n=27)Dual users (n=28)
Age of ENDS initiation, median28.535.0
Age of regular ENDS initiation, median30.036.5
Duration of ENDS use, median2.01.0
Type of ENDS: tank or vapour system, %88.992.9
Type of ENDS: cig-a-like, %7.421.4
Type of ENDS: e-cigar, %0.03.6
Type of ENDS: e-pipe, %3.70.0
Type of ENDS: e-hookah, %0.00.0
ENDS is refillable, %88.9100.0
ENDS is rechargeable, %100.096.4
ENDS uses cartridges, %29.633.3
Nicotine concentration, %
 0 mg0.07.7
 1–5 mg52.030.8
 6–12 mg28.030.8
 13–17 mg8.03.9
 18–24 mg8.023.1
 25 mg or more4.03.9
Tobacco flavour, %18.539.3
Menthol flavour, %14.83.6
Clove or spice, %7.417.9
Fruit, %66.753.6
Chocolate, %7.414.3
Alcoholic drink, %3.60.0
Candy/sweets, %51.957.1
Other flavour, %11.121.4
Number of vape sessions in lifetime*, %
 100 or less33.352.0
 101–20012.58.0
 201–3008.38.0
 301–40012.58.0
 Over 40033.324.0
Average number of vape sessions per day*, %
 Less than 10 sessions28.052.0
 10–19 sessions44.020.0
 20–30 sessions16.08.0
 Over 3012.020.0
Average number of puffs per vape session*, %
 Under 514.823.1
 5–1055.646.2
 More than 1029.630.8
Average length of vape session*, %
 1–2 min33.325.0
 3–5 min40.728.6
 6–10 min18.525.0
 Over 10 min7.121.4

*Provided by the Ontario Tobacco Research Center.

Electronic nicotine delivery system (ENDS) use characteristics *Provided by the Ontario Tobacco Research Center. ENDS and dual users were asked questions to assess their smoking status prior to initiation of an ENDS (data not provided in tables). The vast majority of ENDS users (92.6%) reported being former cigarette smokers. Among ENDS users who were former cigarette smokers, the median CPD when smoking was 20 and the median duration since smoked cigarettes was 2 years. Dual users were asked to recall CPD before initiation of an ENDS. Median CPD prior to ENDS use was 20, which was significantly higher than the current median of 15 CPD. Table 3 presents data on cigarette smoking characteristics among dual users and exclusive smokers. Median CPD was 15 among dual users and 10 among smokers. The distribution of CPD did not differ between the two user groups. Distributions of age when respondents first tried smoking a cigarette and started smoking cigarettes regularly did not differ between user groups. A greater proportion of dual users reported a 24-hour quit attempt in the previous 12 months than did smokers (57% vs 26%).
Table 3

Cigarette smoking characteristics among cigarette dual users and smokers

Dual users (n=28)Cigarette smokers (n=27)
Cigarettes per day, median15.010.0
Cigarettes per day, %
 <1 pack57.159.3
 ≥1 pack42.940.7
Age of initiation, median15.014.0
Age of regular initiation, median16.519.0
Duration of smoking, median21.526.0
24-hour smoking quit attempt in past 12 months, %57.1*25.9
Smokes mentholated cigarettes, %21.440.7

*Dual users significantly different from cigarette smokers at P<0.05.

Cigarette smoking characteristics among cigarette dual users and smokers *Dual users significantly different from cigarette smokers at P<0.05. Table 4 presents data on the 10 individual items from the adapted HONC for loss of autonomy over ENDS. There were no differences in the individual HONC items when comparing ENDS with dual users. The proportion of ENDS users (64.3%) who had a diminished autonomy over ENDS was no different than dual users (77.8%). On a scale of 0–10, median severity of diminished autonomy over ENDS was 4 and 3 among ENDS and dual users, respectively (figure 1). Distributions in severity of diminished autonomy over ENDS did not differ when comparing ENDS users with dual users. To further understand autonomy, loss of autonomy to ENDS in ENDS users was compared with loss of autonomy to cigarettes in smokers. There was no difference in proportions of diminished autonomy when comparing smokers with ENDS users (96% vs 78%). However, distributions in severity of diminished autonomy differed. ENDS users had significantly lower scores for severity of diminished autonomy than smokers (4 vs 8). Furthermore, among dual users, severity of diminished autonomy over ENDS was lower than severity of diminished autonomy over cigarettes (3 vs 9).
Table 4

Results from Hooked on Nicotine Checklist for assessing loss of autonomy over cigarettes and adapted version for assessing loss of autonomy over electronic nicotine delivery systems (ENDS)*

ENDS users (n=27)Dual users (n=28)Cigarette smokers (n=27)
Over ENDSOver cigarettes
Individual items measured in HONC, %
1. Have you ever tried to quit cigarettes (using an ENDS), but couldn’t?18.518.578.651.9
2. Do you smoke (use your ENDS) now because it is really hard to quit smoking cigarettes (using an ENDS)?32.140.775.048.2
3. Have you ever felt like you were addicted to cigarettes (an ENDS)?28.637.082.170.4
4. Do you ever have strong cravings to smoke (use an ENDS)?50.059.396.485.2
5. Have you ever felt like you really needed a cigarette (an ENDS)?57.159.3100.092.6
6. Is it hard to keep from smoking (using an ENDS) in places where you are not supposed to?35.725.953.644.4
When you haven’t smoked cigarettes (used an ENDS) for a while OR When you tried to stop smoking cigarettes (using an ENDS)…
7. …did you find it hard to concentrate because you couldn’t smoke a cigarette (use an ENDS)?28.622.257.138.5
8. …do you feel more irritable because you couldn’t smoke a cigarette (use an ENDS)?25.048.271.474.1
9. …did you feel a strong need or urge to smoke a cigarette (use an ENDS)?57.159.389.381.5
10. …did you feel nervous, restless, or anxious because you couldn’t smoke a cigarette (use an ENDS)?28.637.075.055.6

*Substitute the italicized word with the words in parenthesis for assessing loss of autonomy over ENDS.

Figure 1

Median severity of diminished autonomy over electronic nicotine delivery systems (ENDS) and/or cigarettes.

Results from Hooked on Nicotine Checklist for assessing loss of autonomy over cigarettes and adapted version for assessing loss of autonomy over electronic nicotine delivery systems (ENDS)* *Substitute the italicized word with the words in parenthesis for assessing loss of autonomy over ENDS. Median severity of diminished autonomy over electronic nicotine delivery systems (ENDS) and/or cigarettes. The proportion of dual users (100%) with diminished autonomy over cigarettes did not significantly differ from the proportion of cigarette smokers (96.3%). Median severity of diminished autonomy over cigarettes was 9 and 8 among dual users and smokers, respectively. Distributions in severity of diminished autonomy over cigarettes did not differ when comparing dual users with smokers. When examining individual items measured by the HONC, a greater proportion of dual users than smokers said ‘yes’ to items 1 ‘Have you ever tried to quit cigarettes, but couldn’t?’ (79% vs 52%; P=0.0372) and 2 ‘Do you smoke now because it is really hard to quit smoking cigarettes?’ (75% vs 48%; P=0.0405). There was no difference in items 3–10.

Discussion

This descriptive study provides novel findings about ENDS use in a small sample of AIs from Oklahoma, a state located in the Southern Plains region of the USA. Notably, this analysis was the first of its kind to provide an in-depth description of ENDS use, including both exclusive use and dual use with cigarettes, among AIs. Studies of this kind are a current research priority of the US FDA CTP, which serves as the regulatory authority for all tobacco products in the USA.4 35 Ultimately, this study provides a more complete picture of the current tobacco use landscape and will be informative for our future research on biomarkers of exposure in this population, as well as for guiding regulatory authorities who are working to understand the impact of ENDS on public health in both general and disparate populations. ENDS are part of the diversifying tobacco and nicotine landscape.36 Currently, there are several gaps in how to define and classify these devices making research on ENDS difficult.2 Understanding characteristics of ENDS (eg, type of device, nicotine concentration and flavour of e-liquid) is important as these characteristics have been shown to influence use behaviour.12 Thus, a major strength of the present study was the number of characteristics collected on ENDS use and the usage of pictures to aid participants in selecting which product they currently used. The vast majority of ENDS and dual users in this sample reported using a tank or vapour system. Additionally, most reported that their ENDS was refillable with e-liquid and rechargeable. The majority of both dual and ENDS users reported using ENDS with nicotine concentrations of 12 mg or less. These findings are consistent with other epidemiologic surveys that have identified rechargeable and refillable devices to more popular among ENDS users than cartridge-based or disposable ENDS.12 37 Concern surrounds flavoured tobacco products as they have been disproportionately used by youth and initiators.38–40 Due to this, flavoured cigarettes, excluding menthol flavour, were prohibited in the USA in 2009 as part of the landmark Family Smoking Prevention and Tobacco Control Act.41 Currently, ENDS, or the e-liquid used in ENDS, come in a variety of flavours. One study identified nearly 8000 flavours available online and showed that the vast majority of brands offered fruit, candy and dessert flavours.42 Flavours are a commonly cited reason for vaping, particularly in youth and young adults.8 43–46 In the present study, the most common flavours among both ENDS and dual users were fruit and candy or sweets. Other studies have also found fruit and candy flavours to be popular among ENDS users.47 48 None of the participants in the present study reported not using any flavour. Regulatory authorities need to consider the potential impact of eliminating flavours in ENDS, as their prohibition, especially fruit and candy flavours, will reduce youth appeal and the appeal to adult ENDS users. Data on patterns of ENDS use are crucial for understanding the impact of these devices on public health, especially among priority populations disproportionately affected by tobacco use. There are no standardised methods for assessing ENDS behaviour. In the present study, participants read a generic definition of a ‘vape session’ and then were asked questions to characterise vape sessions. One-third of ENDS users and more than half of dual users reported 100 or less vape sessions in their lifetime. This is surprising since ENDS were used for a median duration of 1 or 2 years and the study eligibility which included using an ENDS every day in the past 3 months. Participants may have had a hard time recalling this number and simply guessed or perhaps the question was worded in a manner that caused confusion. Another explanation is the participants may have underestimated their total number of vape sessions as a result of social desirability. Cognitive testing of this measure should be pursued among an adequately powered sample. Average number of vape sessions per day varied, with most reporting less than 20 sessions per day. An average of 5–10 puffs per vape session was most common among both ENDS and dual users. In terms of vape sessions, most lasted for 5 min or less among ENDS users; while the proportion of dual users who reported a vape session lasting 1–2, 3–5, 6–10 and over 10 min were similar. In addition to providing a deeper understanding of ENDS use among AIs, these findings are relevant for researchers seeking to understand which measures should be used to monitor patterns of ENDS use. Attempts to quit smoking are considered a critical step to increasing rates of smoking cessation and, subsequently, reducing the smoking prevalence.10 49 50 Based on data from the 2013 National Health Interview Survey, an estimated 51% of AI smokers reported attempting to quit in the past 12 months.51 In the present study, the proportion of dual users who made a quit attempt was more than twice the proportion among exclusive smokers. This finding supports previous literature linking ENDS use to smoking cessation. For example, in a nationally representative sample of US cigarette smokers (n=2028), ENDS users had a higher smoking quit attempt (73% vs 46%) and cessation (42% vs 16%) rate than non-ENDS users.52 We did not ask participants about their reason for using ENDS; however, there is a possibility that dual users in the present study are similar to those in other studies who report using ENDS to quit cigarettes.7–9 Dual users were asked to recall their average CPD before ENDS initiation, which was significantly higher than their current CPD. Additionally, although there was no difference in proportion of overall loss of autonomy measures, a higher proportion of dual users than smokers said ‘yes’ to items 1 and 2 on the HONC, both of which contain language related to quitting smoking. This observation supports the finding that a higher proportion of dual users than smokers made a smoking quit attempt. Future cohort studies, such as the US Population Assessment of Tobacco Use and Health, are needed to assess the causal relationship between dual use and smoking cessation. A major component of assessing the public health impact of ENDS use is to understand the dependence potential in both exclusive and dual users. Since ENDS and cigarettes differ in patterns of use, methods for assessing dependence that can facilitate comparison across products are needed. In the present study, HONC was used to assess diminished autonomy—a core feature of tobacco dependence.24 With median scores of 4 and 3, ENDS and dual users were no different in loss of autonomy over ENDS. Eissenberg and colleagues recently developed a questionnaire, which contained measures from a variety of scales including the HONC, to assess dependence to both cigarettes and ENDS.13 Eissenberg found ENDS users to be less dependent on ENDS than they retrospectively reported having been dependent on cigarettes prior to switching.13 Although we did not ask ENDS users who were former smokers to recall their loss of autonomy to cigarettes, severity of loss of autonomy in ENDS users was one-half of the severity of loss of autonomy in smokers. Future research comparing dependence scores in ENDS users and smokers while controlling for potential confounding factors, such as age, is needed.

Limitations

Although this study has the potential to provide important information, it must be considered in light of its limitations. The focus of this study was not on testing of hypotheses, but on describing characteristics of ENDS users, dual users and smokers of AI descent. Thus, we did not incorporate a formal sample size calculation. The small sample size restricted our ability to control for potential confounders (eg, gender, age), which have been shown to influence tobacco use behaviours and dependence scores. The reason for this study was to determine the feasibility of recruiting AI research participants and collecting data on their ENDS behaviour. The plan is to expand this study by recruiting a larger sample of ENDS users of AI descent and other race groups (eg, whites, blacks) for comparison purposes. Second, the study population was not randomly sampled, rather participants were enrolled based on convenience using community-based recruitment strategies. Therefore, generalisations to all AIs, including those residing in Oklahoma, should be made with caution. Also, the exclusion criteria may further impact the ability to generalise findings. Of most concern is that individuals who used alcohol on the day of the study were not eligible. Alcohol use is correlated with tobacco use53 54; thus restricting eligibility to those who did not consume alcohol may harm the external validity of the findings. Third, this study relied on self-report and thus prone to recall bias. Lastly, several of the ENDS measures (eg, adapted version of HONC) have yet to be validated. Future studies should be conducted to determine the sensitivity and specificity of these measures.

Conclusion

This study provides an in-depth description of ENDS use, including both exclusive use and dual use with cigarettes, among AIs. Ultimately, this study helps provide a more complete picture of the current tobacco use landscape among AIs and will be informative for regulators as well as public health officials who are actively trying to understand behaviour and dependence among ENDS users.
  41 in total

1.  Biochemical verification of tobacco use and cessation.

Authors: 
Journal:  Nicotine Tob Res       Date:  2002-05       Impact factor: 4.244

2.  Evaluation of toxicant and carcinogen metabolites in the urine of e-cigarette users versus cigarette smokers.

Authors:  Stephen S Hecht; Steven G Carmella; Delshanee Kotandeniya; Makenzie E Pillsbury; Menglan Chen; Benjamin W S Ransom; Rachel Isaksson Vogel; Elizabeth Thompson; Sharon E Murphy; Dorothy K Hatsukami
Journal:  Nicotine Tob Res       Date:  2014-10-21       Impact factor: 4.244

3.  Factors associated with dual use of tobacco and electronic cigarettes: A case control study.

Authors:  Konstantinos E Farsalinos; Giorgio Romagna; Vassilis Voudris
Journal:  Int J Drug Policy       Date:  2015-01-19

4.  FDA summary of adverse events on electronic cigarettes.

Authors:  Ii-Lun Chen
Journal:  Nicotine Tob Res       Date:  2012-08-01       Impact factor: 4.244

5.  Assessing dimensions of nicotine dependence: an evaluation of the Nicotine Dependence Syndrome Scale (NDSS) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM).

Authors:  Megan E Piper; Danielle E McCarthy; Daniel M Bolt; Stevens S Smith; Caryn Lerman; Neal Benowitz; Michael C Fiore; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2008-06       Impact factor: 4.244

6.  Flavored Tobacco Product Use Among US Youth Aged 12-17 Years, 2013-2014.

Authors:  Bridget K Ambrose; Hannah R Day; Brian Rostron; Kevin P Conway; Nicolette Borek; Andrew Hyland; Andrea C Villanti
Journal:  JAMA       Date:  2015-11-03       Impact factor: 56.272

7.  Prevalence and reasons for initiating use of electronic cigarettes among adults in Montana, 2013.

Authors:  Lisa Schmidt; Alison Reidmohr; Todd S Harwell; Steven D Helgerson
Journal:  Prev Chronic Dis       Date:  2014-11-20       Impact factor: 2.830

8.  Flavored e-cigarette use: Characterizing youth, young adult, and adult users.

Authors:  M B Harrell; S R Weaver; A Loukas; M Creamer; C N Marti; C D Jackson; J W Heath; P Nayak; C L Perry; T F Pechacek; M P Eriksen
Journal:  Prev Med Rep       Date:  2016-11-11

9.  An epidemiologic analysis of co-occurring alcohol and tobacco use and disorders: findings from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Daniel E Falk; Hsiao-ye Yi; Susanne Hiller-Sturmhöfel
Journal:  Alcohol Res Health       Date:  2006

10.  Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial.

Authors:  Robert M Anthenelli; Neal L Benowitz; Robert West; Lisa St Aubin; Thomas McRae; David Lawrence; John Ascher; Cristina Russ; Alok Krishen; A Eden Evins
Journal:  Lancet       Date:  2016-04-22       Impact factor: 79.321

View more
  4 in total

1.  Dual Versus Never Use of E-Cigarettes Among American Indians Who Smoke.

Authors:  Dorothy A Rhoades; Ashley L Comiford; Justin D Dvorak; Kai Ding; Leslie M Driskill; Audrea M Hopkins; Paul Spicer; Theodore L Wagener; Mark P Doescher
Journal:  Am J Prev Med       Date:  2019-08-01       Impact factor: 5.043

2.  Vaping patterns, nicotine dependence and reasons for vaping among American Indian dual users of cigarettes and electronic cigarettes.

Authors:  Dorothy A Rhoades; Ashley L Comiford; Justin D Dvorak; Kai Ding; Michelle Hopkins; Paul Spicer; Theodore L Wagener; Mark P Doescher
Journal:  BMC Public Health       Date:  2019-09-02       Impact factor: 3.295

3.  Preliminary impact of the COVID-19 pandemic on smoking and vaping in college students.

Authors:  Alexander W Sokolovsky; Andrew W Hertel; Lauren Micalizzi; Helene R White; Kerri L Hayes; Kristina M Jackson
Journal:  Addict Behav       Date:  2020-12-24       Impact factor: 3.913

4.  Impact of e-cigarette use among a cohort of American Indian cigarette smokers: associations with cigarette smoking cessation and cigarette consumption.

Authors:  Ashley L Comiford; Dorothy A Rhoades; Paul Spicer; Justin D Dvorak; Kai Ding; Theodore L Wagener; Mark P Doescher
Journal:  Tob Control       Date:  2020-02-13       Impact factor: 7.552

  4 in total

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