Abstract
Background
Electronic cigarette (e-cigarette) use in the USA is increasing. As such, it is critical to understand who uses e-cigarettes, how e-cigarettes are used and what types of products are prevalent. This study assesses patterns of current e-cigarette use among daily and non-daily adult users in the 2013–2014 Population Assessment of Tobacco and Health (PATH) Study.
Methods
We examined the proportion of current adult e-cigarette users (n=3642) reporting infrequent use (use on ‘some days’ and use on 0–2 of the past 30 days), moderate use (use on ‘some days’ and use on >2 of the past 30 days) and daily use. We examined demographic characteristics, use of other tobacco products and e-cigarette product characteristics overall and by use category. Adjusted prevalence ratios (aPRs) were calculated using Poisson regression to assess correlates of daily e-cigarette use.
Results
Among the 5.5% of adult current e-cigarette users in the PATH Study, 42.2% reported infrequent use, 36.5% reported moderate use and 21.3% reported daily use. Cigarette smokers who quit in the past year were more likely to report daily e-cigarette use, compared with current smokers (aPR=3.21, 95% CI=2.75 to 3.76). Those who reported using rechargeable or refillable devices were more likely to report daily use compared with those who did not use these devices (aPR=1.95, 95% CI=1.44 to 2.65 and aPR=2.10, 95% CI=1.75 to 2.52, respectively).
Conclusions
The majority of e-cigarette users in this study reported less than daily use. Compared with non-daily use, daily use was associated with being a former smoker; however, cross-sectional data limits our ability to establish the temporality or directionality of such associations.
INTRODUCTION
Electronic cigarettes (e-cigarettes) are battery-operated devices typically designed to deliver nicotine and other additives to users in an aerosol form.1 Ever and current use of e-cigarettes among US adults has increased in recent years2–4 and is associated with current or former cigarette smoking. Research indicates that prevalence of ever and current e-cigarette use is highest among recent former and current smokers.2,3,5–7 The 2015 National Health Interview Survey (NHIS) found that 22% of recent former cigarette smokers (quit <1 year ago), 2.3% of long-term former smokers (quit >12 months ago) and 0.4% of never-smokers were everyday or someday e-cigarette users.5 In another NHIS study, daily use was also highest among former smokers who recently quit (<1 year) smoking (13.0%) and compared with daily cigarette smokers, those who recently quit smoking were four times as likely to be daily e-cigarette users.6
On 5 May 2016, the US Food and Drug Administration extended its jurisdiction to all tobacco products, including e-cigarettes, which gives the agency authority over the manufacturing, marketing and distribution of e-cigarettes. Given this new regulatory authority, a better understanding of who uses e-cigarettes, how e-cigarettes are used (including use frequency and use in the context of other product use) and what types of products are prevalent is critical to assess the impact e-cigarette products will have on population health. For instance, there is cause for public health concern if e-cigarettes promote uptake of smoking by those who would otherwise be non-users of any tobacco, delay or deter smoking cessation in those who would otherwise have quit or encourage relapse to smoking among former smokers. On the other hand, if current cigarette smokers who are otherwise unwilling or unable to quit tobacco use switch completely from cigarette smoking to e-cigarette use, a public health benefit may result.8,9 Although some studies suggest e-cigarettes may help some smokers quit,10,11 the extent to which cigarette smokers turn to e-cigarettes to augment their continued cigarette smoking, rather than as a cessation aid, remains unclear. To date, US national studies have typically stratified ever or current e-cigarette use by demographic characteristics or cigarette smoking status and have not reported detailed use patterns, other tobacco product use or reasons for use in the context of their cigarette smoking status.
Understanding the patterns and trends of e-cigarette use over time requires careful consideration of how use is defined. Whereas established conventions exist for defining current use of traditional cigarettes (ie, 100 lifetime cigarette threshold, currently use every day or some days), definitions for e-cigarette use have varied. Definite ‘current’ e-cigarette use range from any use in the past 30 days,212–14 to ‘someday’ or ‘everyday’ use,4,6,15–18 to other definitions of current use.16,19–21 As e-cigarette use has grown, researchers have called for more nimble ways to ascertain use patterns.22 Defining any e-cigarette use in the past 30 days as current use may conflate recent initiates and casual experimenters with habitual users23; these groups may differ in their reasons for e-cigarette use, tobacco use status and likelihood of continuing e-cigarette use.17,18 Furthermore, patterns of e-cigarette use differ across users and non-users of other tobacco products and across age groups; for example, although researchers found that e-cigarette ever use was most common among current cigarette users and young adults, daily use was most common among recent former smokers and older adults.6
This study analyses the 2013–2014 Wave 1 Survey data from the Population Assessment of Tobacco and Health (PATH) Study to assess prevalence and patterns of current e-cigarette use among daily and non-daily adult users. The PATH Study provides a unique opportunity to characterise e-cigarette users in greater detail than has been presented in US national cross-sectional surveys to date. Whereas national surveys generally measure ever use, frequency of use and use of non-tobacco flavoured e-cigarettes, the PATH Study extends existing surveys by collecting detailed product information (eg, device characteristics), purchasing behaviour and motivations for use. This study examines characteristics of daily versus non-daily e-cigarette users (and further by ‘infrequent’ and ‘moderate’ non-daily users), as well as indices reflecting use patterns, product characteristics and reasons for use.
METHODS
Data source
Data are from Wave 1 Survey of the PATH Study conducted from 12 September 2013 to 15 December 2014. The PATH Study used audio-computer assisted self-interviews (ACASI) available in English and Spanish to collect information on tobacco use and health in a nationally representative, longitudinal cohort study of 45 971 civilian, non-institutionalised adults and youth in the USA, ages ≥12 years. This analysis draws from the 32 320 adult interviews (ages ≥18 years). Recruitment employed address-based, area-probability sampling, using an in-person household screener to select youths and adults. Adult tobacco users, young adults ages 18–24 and African-Americans were oversampled relative to population proportions. Among households that were screened (weighted household screener rate=54%), the overall weighted response rate was 74.0% for the adult interview. Further details regarding the PATH Study design and methods are published elsewhere24 and in the User Guide to the PATH Study restricted use files, available at http://doi.org/ 10.3886/ICPSR36231. Westat’s (the study contractor) Institutional Review Board approved the study design and protocol, and the Office of Management and Budget approved the data collection.
E-cigarette use
The e-cigarette items in the PATH Study questionnaire displayed a preamble as well as images of e-cigarette devices, cartridges and e-liquid to help respondents identify which products they used. The preamble presented to respondents reads: ‘The next questions are about electronic cigarettes, often called e-cigarettes. E-cigarettes look like regular cigarettes, but are battery-powered and produce vapor instead of smoke. There are many types of e-cigarettes. Some common brands include NJOY, Blu and Smoking Everywhere’. The questionnaire design allowed for flexibility in the definition of e-cigarette use. Respondents were asked, “Have you ever seen or heard” of an e-cigarette, and then, “Have you ever used an e-cigarette even one or two times?” Individuals who reported ever using an e-cigarette were asked, “Do you now use e-cigarettes…”, with response options being every day, some days or ‘not at all’. Those who reported use on some days were subsequently asked, “On how many of the past 30 days did you use an e-cigarette?” and selected a number from 0 to 30. Using these survey questions, we classified e-cigarette users based on both self-reported frequency of use and the number of days of use (out of the past 30 days). Infrequent users were defined as those reporting e-cigarette use on some days and on 0–2 of the past 30 days; moderate users were defined as those reporting use on some days and >2 of the past 30 days; and daily users were defined as those reporting use of e-cigarettes every day. Two days out of the past 30 was the cut point for infrequent and moderate use because it was the median value for non-daily e-cigarette users. Non-daily users who did not report the number of days used were included in the overall and non-daily user groups but not the more specific infrequent or moderate use subgroups.
All e-cigarette users were asked age of first use, whether their first e-cigarette was flavoured with a non-tobacco flavour (ie, menthol, mint, clove, spice, candy, fruit, chocolate, alcohol and other sweets), whether they used e-cigarettes as a way of cutting down on cigarettes, the number of lifetime cartridges or disposable e-cigarettes consumed and whether the e-cigarette usually used was rechargeable and/or refillable. Users of rechargeable e-cigarettes were asked if their device used cartridges. (See http://www.icpsr.umich.edu/icpsrweb/NAHDAP/studies/36231 for the PATH Study Adult Interview.)
Respondents were also asked whether they ever fairly regularly used e-cigarettes to identify established users who were routed through the questionnaire to answer questions regarding preferred brands, additional device characteristics and purchasing behaviours. All established users (ie, those who met the ‘fairly regularly’ threshold) were asked their regular brand of e-cigarette, if this brand contained non-tobacco flavourings, if their usual e-cigarette contained nicotine, how they usually bought e-cigarettes (ie, in person, via the internet and by telephone) and where e-cigarettes were purchased if in person (ie, convenience store or gas station, smoke shop, tobacco specialty shop and mall kiosk).
Other tobacco product use characteristics
Cigarette smoking status was classified as: (1) current smoker, who reported lifetime smoking of ≥100 cigarettes and currently smoking cigarettes either some days or every day; (2) recent quitter, who reported having smoked ≥100 cigarettes, currently not smoking at all and having completely quit smoking within the past year; (3) long-term former smoker, who reported having smoked ≥100 cigarettes, currently not smoking at all and having completely quit smoking more than a year ago; and (4) never-established smoker, who reported not having smoked ≥100 cigarettesi (hereafter referred to as ‘never-smoker’). Respondents were also asked about current use of combusted tobacco products other than cigarettes (ie, filtered cigars, cigarillos, traditional cigars, pipes and hookah) and non-combusted products (ie, smokeless tobacco, snus pouches and dissolvable tobacco) every day or some days.
Reasons for e-cigarette use
Respondents reporting everyday or someday use were shown a randomised set of 13 potential reasons for use and asked to indicate which reasons they endorsed (see table 1 for full set of stated reasons). Stated reasons ranged from affordability to presence of flavours, and many were relative to cigarette smoking, such as “They might be less harmful to me than cigarette”. Responses were analysed by cigarette smoking status (current, recent and long-term former and never-smoker).
Table 1.
Endorsed reasons for e-cigarette use among current e-cigarette users* by cigarette smoking status, 2013–2014 PATH Study Wave 1 Survey
| Overall % (95% CI), unweighted n=3642 |
Current cigarette smokers† % (95% CI), unweighted n=2530 |
Former cigarette smokers‡ % (95% CI), unweighted n=469 |
Never cigarette smokers§ % (95% CI), unweighted n=634 |
p Value | |
|---|---|---|---|---|---|
| They might be less harmful to people around me than cigarettes. |
84.8 (83.4 to 86.2) | 85.1 (83.6 to 86.7) | 86.3 (82.4 to 90.2) | 82.3 (78.9 to 85.7) | 0.2159 |
| They might be less harmful to me than cigarettes. |
82.9 (81.5 to 84.3) | 80.5 (78.7 to 82.3) | 91.8 (89.0 to 94.5) | 85.4 (82.5 to 88.4) | <0.0001 |
| I can use e-cigarette at times when or in places where smoking cigarettes is not allowed. |
80.8 (79.2 to 82.3) | 83.5 (81.7 to 85.3) | 76.0 (70.7 to 81.3) | 73.0 (69.5 to 76.4) | <0.0001 |
| E-cigarettes do not smell. | 76.3 (74.6 to 78.0) | 76.4 (74.4 to 78.3) | 80.1 (75.1 to 85.1) | 72.5 (68.6 to 76.4) | 0.0577 |
| Using e-cigarettes help people to quit smoking cigarettes. |
71.9 (70.1 to 73.7) | 72.1 (70.1 to 74.1) | 82.6 (79.0 to 86.2) | 61.2 (57.1 to 65.3) | <0.0001 |
| E-cigarettes are more acceptable to non-tobacco users. |
71.2 (69.7 to 72.7) | 70.6 (68.8 to 72.3) | 69.5 (64.4 to 74.6) | 75.3 (71.9 to 78.7) | 0.0840 |
| E-cigarettes come in flavours I like. |
65.0 (63.2 to 66.9) | 63.7 (61.6 to 65.8) | 60.1 (55.0 to 65.2) | 75.3 (71.8 to 78.9) | <0.0001 |
| They are affordable. | 54.5 (52.8 to 56.3) | 51.9 (49.6 to 54.2) | 64.7 (59.8 to 69.7) | 57.0 (53.0 to 61.1) | <0.0001 |
| Using an e-cigarette feels like smoking a regular cigarette. |
49.4 (47.7 to 51.1) | 47.3 (45.3 to 49.4) | 66.8 (62.6 to 70.9) | 42.5 (38.4 to 46.6) | <0.0001 |
| I like socialising while using an e-cigarette. |
39.6 (37.8 to 41.3) | 37.3 (35.0 to 39.6) | 37.4 (32.4 to 42.4) | 52.0 (47.7 to 56.4) | <0.0001 |
| People who are important to me use e-cigarettes. |
21.3 (19.5 to 23.1) | 18.6 (16.7 to 20.5) | 20.2 (15.8 to 24.6) | 34.0 (29.3 to 38.8) | <0.0001 |
| The advertising for e-cigarettes appeals to me. |
20.9 (19.4 to 22.3) | 19.1 (17.3 to 20.9) | 15.7 (12.0 to 19.4) | 33.2 (29.4 to 37.1) | <0.0001 |
| People in the media or other public figures use e-cigarettes. |
19.3 (17.7 to 21.0) | 18.0 (16.2 to 19.8) | 9.3 (6.4 to 12.2) | 34.3 (29.5 to 39.0) | <0.0001 |
p values from frequency of use categories from χ2 test. Frequencies reflect unweighted data and percentage-weighted data.
Those who reported currently using an e-cigarette ‘every day’ or ‘some days’, irrespective of the ‘fairly regularly’ threshold.
Those who reported having smoked at least 100 cigarettes in their lifetime and now currently smoke every day or some days.
Those who reported having smoked at least 100 cigarettes in their lifetime and now smoke cigarettes ‘not at all’.
Those who reported not having smoked at least 100 cigarettes in their lifetime. Of these 634 never established cigarette smokers, 56.8% are current experimental smokers, 32.2% are former experimental smokers and 10.6% are never experimental smokers.
PATH, Population Assessment of Tobacco and Health.
Demographic characteristics
Race/ethnicity was categorised as Hispanic of any race and non-Hispanic white, African-American or Black, Asian, American-Indian or Alaskan Native and other or multirace. Socioeconomic status was assessed by the ratio of self-reported family income to the US Federal Poverty Level (FPL) (http://healthcare.gov/glossary/federal-poverty-level-FPL/) and categorised as <100%, 100%–199% and ≥200% of the FPL.
Statistical analysis
Descriptive statistics of e-cigarette users, patterns of use and product characteristics were stratified by demographic and tobacco use characteristics. Unadjusted and adjusted prevalence ratios were calculated using Poisson regression25 to examine the association between everyday versus someday e-cigarette use (including both infrequent and moderate users) and demographic, tobacco use and product characteristics. Analyses were conducted from 2015 to 2016 using SAS version 9.3 with Poisson regression performed with Stata version 12.1. All analyses were conducted using replicate weights and balanced repeated replication methods to account for the PATH Study’s complex survey design. Differences in characteristics between groups and subgroups were evaluated using Rao-Scott χ2 tests with statistical significance being p<0.05. Prevalence estimates derived from denominators of less than 50 and those with a relative SE greater than 30% were suppressed.26
Missing data
Relatively few e-cigarette users had missing data for variables in this study, usually less than 2%, and these users were not included in relevant analyses. In terms of descriptive statistics, 8.0% of e-cigarettes users did not have income information and 2.0% did not have information on sexual orientation and identity; 2.8% were missing some information on other combusted product use, and 3.5% of everyday established users reported ‘don’t know’ or ‘refused’ regarding the number of e-cigarettes or cartridges used per day. Lastly, 6.6% of established e-cigarette users who reported owning an e-cigarette did not identify its brand. Of the 3642 current e-cigarette users, 3373 had information for all of the covariates in the regression analysis and were included in this analysis.
RESULTS
Demographic characteristics and tobacco use status
The prevalence of current (everyday or someday) e-cigarette use among adults in the PATH Study during Wave 1 Survey was 5.5% (95% CI=5.3 to 5.8) (data not shown). Among all current e-cigarette users (unweighted n=3642), 42.2% reported infrequent use, 36.5% reported moderate use and 21.3% reported daily use of e-cigarettes. Among those who reported current use of e-cigarettes, 71.0% identified as non-Hispanic Whites, 53.5% were men and 52.0% reported some college education or higher (table 2). Bivariate analyses indicated statistically significant differences by e-cigarette use status for race/ethnicity, age group and income.
Table 2.
Demographic characteristics of adult current e-cigarette users by use status (%), 2013–2014 PATH Study Wave 1 Survey
| All current e-cigarette users* (%, 95% CI) (n=3642) |
Infrequent e-cigarette users† (%, 95% CI) (n=1559) |
Moderate e-cigarette users‡ (%, 95% CI) (n=1340) |
Daily e-cigarette users§ (%, 95% CI) (n=734) |
p Value | |
|---|---|---|---|---|---|
| Overall | 42.2 (40.4 to 43.9) | 36.5 (34.7 to 38.3) | 21.3 (19.3 to 23.3) | ||
| Sex | 0.4374 | ||||
| Male | 53.5 (51.5 to 55.4) | 52.4 (50.1 to 54.8) | 53.5 (50.2 to 56.8) | 55.5 (51.3 to 59.8) | |
| Female | 46.5 (44.6 to 48.5) | 47.6 (45.2 to 49.9) | 46.5 (43.2 to 49.8) | 44.5 (40.2 to 48.7) | |
| Race/ethnicity | <0.0001 | ||||
| White, non-Hispanic | 71.0 (69.3 to 72.7) | 66.7 (64.2 to 69.2) | 71.6 (68.7 to 74.6) | 78.5 (75.1 to 82.0) | |
| Black or African-American, non-Hispanic | 9.3 (8.1 to 10.4) | 9.5 (7.8 to 11.3) | 10.1 (8.5 to 11.8) | 7.2 (4.9 to 9.5) | |
| Asian, non-Hispanic | 2.7 (1.9 to 3.5) | 3.3 (2.0 to 4.6) | ¶ | 2.4 (1.0 to 3.8) | |
| American-Indian/Alaska Native, non-Hispanic | 0.6 (0.3 to 0.9) | ¶ | ¶ | ¶ | |
| Other or multirace, non-Hispanic | 3.8 (3.2 to 4.3) | 3.4 (2.7 to 4.2) | 4.3 (3.2 to 5.3) | 3.6 (2.3 to 4.9) | |
| Hispanic | 12.7 (11.3 to 14.0) | 16.4 (14.4 to 18.4) | 11.2 (9.2 to 13.3) | 7.8 (5.8 to 9.7) | |
| Age group (years) | <0.0001 | ||||
| 18–24 | 20.9 (19.4 to 22.3) | 24.5 (22.0 to 27.1) | 20.3 (18.1 to 22.5) | 14.6 (12.0 to 17.3) | |
| 25–34 | 26.4 (24.7 to 28.1) | 25.0 (22.5 to 27.6) | 28.4 (25.8 to 31.0) | 25.6 (21.9 to 29.2) | |
| 35–44 | 18.8 (17.3 to 20.4) | 19.5 (17.3 to 21.7) | 18.7 (16.3 to 21.0) | 17.8 (14.7 to 21.0) | |
| 45–54 | 16.6 (15.3 to 17.9) | 17.1 (14.7 to 19.5) | 15.1 (12.8 to 17.3) | 18.1 (15.0 to 21.3) | |
| 55–64 | 12.4 (11.2 to 13.6) | 10.1 (8.3 to 12.0) | 12.8 (10.9 to 14.7) | 16.0 (12.7 to 19.4) | |
| 65+ | 4.9 (3.9 to 5.9) | 3.6 (2.4 to 4.9) | 4.7 (3.1 to 6.3) | 7.8 (5.4 to 10.2) | |
| Education | 0.2410 | ||||
| Less than high-school diploma | 12.3 (11.1 to 13.5) | 14.3 (12.4 to 16.1) | 10.9 (9.1 to 12.7) | 10.7 (8.4 to 13.0) | |
| GED | 9.7 (8.7 to 10.8) | 10.1 (8.4 to 11.7) | 9.6 (7.9 to 11.2) | 9.5 (7.2 to 11.8) | |
| High-school diploma | 26.0 (24.2 to 27.8) | 25.4 (22.7 to 28.0) | 26.9 (24.1 to 29.7) | 25.7 (21.7 to 29.7) | |
| Some college/associate’s degree | 39.2 (37.2 to 41.2) | 37.2 (34.5 to 39.9) | 40.1 (37.0 to 43.2) | 41.6 (37.3 to 46.0) | |
| Bachelor’s degree or more | 12.8 (11.5 to 14.0) | 13.1 (11.3 to 14.9) | 12.5 (10.6 to 14.4) | 12.5 (9.5 to 15.4) | |
| Income | 0.0055 | ||||
| <100% of the FPL for income | 35.5 (33.7 to 37.4) | 38.5 (35.9 to 41.0) | 34.9 (31.6 to 38.1) | 30.8 (27.4 to 34.1) | |
| 100%−199% of the FPL for income | 25.7 (23.8 to 27.5) | 23.7 (21.3 to 26.0) | 27.5 (24.6 to 30.4) | 26.6 (22.6 to 30.6) | |
| ≥200% of the FPL for income | 38.8 (36.7 to 40.9) | 37.9 (35.1 to 40.6) | 37.6 (34.4 to 40.9) | 42.6 (38.8 to 46.4) | |
| Sexual identity** | 0.7954 | ||||
| Straight | 90.4 (89.4 to 91.5) | 90.3 (88.8 to 91.8) | 90.3 (88.5 to 92.1) | 90.9 (88.5 to 93.3) | |
| Gay or lesbian | 3.2 (2.6 to 3.9) | 3.5 (2.4 to 4.5) | 3.0 (1.9 to 4.1) | 3.1 (1.8 to 4.5) | |
| Bisexual | 4.7 (3.9 to 5.5) | 4.3 (3.3 to 5.4) | 5.3 (4.0 to 6.7) | 4.4 (3.0 to 5.8) | |
| Something else | 1.6 (1.2 to 2.0) | 1.9 (1.3 to 2.5) | 1.4 (0.7 to 2.0) | ¶ | |
| Current cigarette smoking status | <0.0001 | ||||
| Current smoker | 69.7 (68.0 to 71.4) | 76.9 (74.6 to 79.2) | 73.2 (70.5 to 75.9) | 49.6 (45.7 to 53.5) | |
| Recent quitter (≤1 year) | 8.6 (7.4 to 9.7) | 2.1 (1.2 to 3.0) | 5.2 (3.9 to 6.4) | 27.2 (23.6 to 30.9) | |
| Former smoker (>1 year) | 5.7 (4.8 to 6.7) | 2.7 (1.8 to 3.5) | 4.1 (2.9 to 5.3) | 14.7 (11.5 to 17.9) | |
| Never-smoker | 16.0 (14.9 to 17.1) | 18.4 (16.2 to 20.5) | 17.5 (15.3 to 19.7) | 8.5 (6.4 to 10.6) | |
| Current use of other combusted tobacco products†† | |||||
| Yes | 39.2 (37.1 to 41.3) | 44.8 (41.8 to 47.8) | 40.8 (37.5 to 44.1) | 25.4 (22.1 to 28.6) | <0.0001 |
| Current use of noncombusted tobacco products‡‡ | |||||
| Yes | 8.9 (7.8 to 9.9) | 8.9 (7.4 to 10.5) | 10.0 (8.3 to 11.7) | 6.8 (4.8 to 8.9) | 0.0662 |
p values for frequency of use categories from χ2 test. Frequencies reflect unweighted data and percentage-weighted data.
Respondents who reported currently using an e-cigarette ‘every day’ or ‘some days’.
Respondents who responded using an e-cigarette some days and reported using an e-cigarette on 0 to 2 of the past 30 days.
Respondents who responded using an e-cigarette some days and reported using an e-cigarette on more than two of the past 30 days.
Respondents who responded currently using e-cigarettes every day.
Estimate was suppressed; the relative SE was >30%.
Respondents who reported their sexual identity as ‘something else’ were asked to provide additional information about this response and could state that it meant identifying with labels such as ‘queer’, being transgender, being in the process of figuring out their sexuality, not thinking of themselves as having a sexuality, not using such labels or something else.
Other combusted tobacco products are filtered cigars, cigarillos, traditional cigars, hookah and pipes.
Other non-combusted tobacco products are smokeless tobacco (snus pouches, loose snus, moist snuff, dip, spit or chewing tobacco) and dissolvable tobacco.
FLP, Federal Poverty Level for income; GED, General Education Development certificate; PATH, Population Assessment of Tobacco and Health.
Nearly 70% of all current e-cigarette users reported current cigarette smoking; however, infrequent users were more likely to report current cigarette smoking (76.9%) compared with moderate or daily users (73.2% (p=0.046) and 49.6% (p<0.0001), respectively) (table 2). Infrequent users were also more likely to report other combusted product use (cigars, hookah or pipes) compared with moderate or daily users (44.8% vs 40.8% (p=0.047) and 25.4% (p<0.0001)). Conversely, daily users were more likely to report recently quitting cigarette smoking compared with moderate or infrequent users (27.2% vs 5.2% (p<0.0001) and 2.1% (p<0.0001)) and were also more likely to report being a long-term former cigarette smoker (14.7%) compared with moderate or infrequent users (4.1% (p<0.0001) and 2.7% (p<0.0001)).
Patterns of and reasons for e-cigarette use
As shown in table 3, patterns of use and device characteristics varied considerably by current e-cigarette use status. Nearly 90% of daily e-cigarette users reported using e-cigarettes as a way of cutting down on cigarette smoking compared with 81.8% (p=0.001) of moderate users and 58.2% (p<0.0001) of infrequent users. In terms of e-cigarette device characteristics, daily e-cigarette users were more likely to report using rechargeable products (91.6%) compared with moderate (78.0%, p<0.0001) or infrequent (58.6%, p<0.0001) users and more likely to report using refillable e-cigarette products (73.6%) compared with moderate (51.4%, p<0.0001) or infrequent (32.4%, p<0.0001) users. Among those who reported using a rechargeable e-cigarette product, infrequent users were more likely to report use of cartridges (71.0%) compared with moderate (61.5%, p=0.0001) or daily (42.3%, p<0.0001) users.
Table 3.
Patterns of use among current e-cigarette users,* 2013–2014 PATH Study Wave 1 Survey
| Infrequent e-cigarette users† (%, 95% CI) (n=1559) |
Moderate e-cigarette users‡ (%, 95% CI) (n=1340) |
Daily e-cigarette users§ (%, 95% CI) (n=734) |
p Value | ||
|---|---|---|---|---|---|
| Years since first use¶ | 0.0192 | ||||
| 0 | 28.4 (26.0 to 30.8) | 31.9 (28.8 to 35.0) | 36.4 (32.4 to 40.4) | ||
| 1 | 37.6 (35.2 to 40.1) | 38.5 (35.5 to 41.5) | 31.0 (27.3 to 34.6) | ||
| 2–3 | 24.2 (21.8 to 26.6) | 21.1 (18.7 to 23.5) | 22.4 (18.6 to 26.2) | ||
| 4–5 | 5.5 (4.2 to 6.8) | 4.5 (3.2 to 5.8) | 5.4 (3.4 to 7.5) | ||
| 6+ | 4.2 (2.9 to 5.5) | 4.0 (2.7 to 5.2) | 4.8 (2.9 to 6.6) | ||
| First e-cigarette non-tobacco flavoured | <0.0001 | ||||
| Yes | 54.8 (52.3 to 57.3) | 60.7 (57.5 to 63.8) | 65.2 (60.9 to 69.4) | ||
| Number of e-cigarette cartridges now used each day on average** | |||||
| 0 | †† | †† | ‡‡ | ||
| <1 | †† | †† | 39.4 (35.1 to 43.6) | ||
| 1 | †† | †† | 37.3 (33.9 to 40.8) | ||
| 2–4 | †† | †† | 14.1 (11.1 to 17.1) | ||
| 5–9 | †† | †† | 3.7 (1.9 to 5.6) | ||
| 10+ | †† | †† | 3.1 (1.7 to 4.6) | ||
| Number of days used in the past 30 days | |||||
| 0 | 54.1 (51.2 to 57.0) | †† | †† | ||
| 1–2 | 45.9 (43.0 to 48.8) | †† | †† | ||
| 3–4 | †† | 22.6 (20.1 to 25.0) | †† | ||
| 5–9 | †† | 32.8 (30.1 to 35.4) | †† | ||
| 10–29 | †† | 40.5 (37.6 to 43.5) | †† | ||
| 30 | †† | 4.1 (3.1 to 5.2) | †† | ||
| Lifetime e-cigarette use | <0.0001 | ||||
| One or more puffs but never a whole one | 28.1 (25.8 to 30.4) | 16.4 (14.3 to 18.4) | 8.6 (6.5 to 10.7) | ||
| 1 to 10 | 53.1 (50.1 to 56.0) | 52.4 (50.0 to 54.8) | 34.2 (30.8 to 37.7) | ||
| 11 to 20 | 10.4 (8.8 to 12.0) | 15.9 (13.8 to 18.0) | 15.5 (13.1 to 17.9) | ||
| 21 to 50 | 5.5 (4.2 to 6.8) | 9.4 (7.4 to 11.3) | 16.5 (13.4 to 19.5) | ||
| 51 to 99 | 1.4 (0.7 to 2.1) | 2.6 (1.6 to 3.6) | 8.4 (6.0 to 10.8) | ||
| 100 or more | 1.5 (0.9 to 2.2) | 3.3 (2.2 to 4.4) | 16.8 (13.5 to 20.2) | ||
| Use e-cigarettes as a way of cutting down on cigarette smoking | <0.0001 | ||||
| Yes | 58.2 (55.1 to 61.4) | 81.8 (79.1 to 84.6) | 88.7 (85.6 to 91.7) | ||
| Rechargeable | <0.0001 | ||||
| Yes | 58.6 (55.8 to 61.4) | 78.0 (75.3 to 80.6) | 91.6 (89.5 to 93.7) | ||
| Use of cartridges§§ | <0.0001 | ||||
| Yes | 71.0 (68.0 to 74.0) | 61.5 (57.9 to 65.2) | 42.3 (37.2 to 47.3) | ||
| Refillable | <0.0001 | ||||
| Yes | 32.4 (29.2 to 35.5) | 51.4 (47.7 to 55.2) | 73.6 (69.7 to 77.5) | ||
p-values for frequency of use categories from χ2 test. Frequencies reflect unweighted data and percentage-weighted data.
Those who reported using an e-cigarette ‘every day’ or ‘some days’.
Those who responded using an e-cigarette some days and reported using an e-cigarette on 0 to 2 of the past 30 days.
Those who responded using an e-cigarette some days and reported using an e-cigarette on more than two of the past 30 days.
Those who reported using e-cigarettes every day.
Time since first use of an e-cigarette was calculated by subtracting age at which respondent reported first used an e-cigarette, even one or two times, from current age.
Number of e-cigarette cartridges used on average each day was asked of established daily e-cigarette users.
Indicates questions not applicable for e-cigarette user subgroup.
Estimate was suppressed; the relative SE was >30%.
Use of cartridges was asked among respondents who reported using a product that was rechargeable.
PATH, Population Assessment of Tobacco and Health.
Overall, the most frequently endorsed reasons (table 1) for using e-cigarettes included that e-cigarettes “might be less harmful to people around me than cigarettes”, “might be less harmful to me than cigarettes”, and “e-cigarettes [can be used] at times when or in places where smoking cigarettes isn’t allowed”. Several reasons for use differed by cigarette smoking status; for instance, never-smokers were more likely to endorse appealing flavours as a reason for e-cigarette use (75.3%) compared with current (63.7%, p<0.0001) and former (60.1%, p<0.0001) smokers. Additionally, never-smokers were more likely to endorse they like socialising while using e-cigarettes (52.0%) compared with current (37.3%, p<0.0001) and former (37.4%, p<0.0001) smokers. Among former cigarette smokers, the most frequently endorsed reasons for using e-cigarettes included “might be less harmful to me than cigarettes” (91.8%), relative harm to others (86.3%) and because “e-cigarettes don’t smell” (80.1%), whereas current smokers most frequently endorsed using e-cigarettes for reasons relating to relative harm to themselves or others (80.5% and 85.1%, respectively) and “use at times or in places where smoking isn’t allowed” (83.5%).
Factors associated with daily versus non-daily e-cigarette use
Adjusted Poisson regression analysis indicated sex, age group, cigarette smoking status, current use of other combusted tobacco products and device characteristics were significantly associated with daily versus non-daily e-cigarette use in the adjusted model (table 4). Compared with young adults aged 18–24 years, adults aged 55–64 and 65+ years were more likely to be daily e-cigarette users (aPR=1.44, 95% CI=1.11 to 1.87 and aPR=1.51, 95% CI=1.13 to 2.01, respectively). A strong association was identified between cigarette smoking status and daily use of e-cigarettes, such that recently quitting cigarette smoking (vs current smoking) was strongly associated with daily e-cigarette use (aPR=3.21, 95% CI=2.75 to 3.76). In addition, being a long-term former smoker (vs a current smoker) was also associated with being a daily e-cigarette user (aPR=2.89, 95% CI=2.41 to 3.46). Lastly, those who reported using rechargeable or refillable devices were more likely to report daily e-cigarette use compared with those who did not use these devices (aPR=1.95, 95% CI=1.44 to 2.65 and aPR=2.10, 95% CI=1.75 to 2.52, respectively).
Table 4.
Per cent of daily e-cigarette use among adult current users and prevalence ratio (PR) by demographics and e-cigarette characteristics, 2013–2014 PATH Study Wave 1 Survey
| Respondent characteristics | Daily users*, % (95% CI) | Unadjusted PR (95% CI) | Adjusted PR (95% CI) |
|---|---|---|---|
| Sex | |||
| Male | 22.0 (19.8 to 24.2) | Ref. | Ref. |
| Female | 20.3 (17.5 to 23.1) | 0.92 (0.80 to 1.07) | 0.83 (0.72 to 0.95) |
| Age (years) | |||
| 18–24 | 14.9 (12.4 to 17.5) | Ref. | Ref. |
| 25–34 | 20.6 (17.2 to 23.9) | 1.38 (1.12 to 1.71) | 1.02 (0.83 to 1.25) |
| 35–44 | 20.2 (16.9 to 23.4) | 1.35 (1.07 to 1.71) | 1.07 (0.87 to 1.32) |
| 45–54 | 23.3 (18.9 to 27.6) | 1.56 (1.21 to 2.02) | 1.18 (0.93 to 1.50) |
| 55–64 | 27.6 (21.5 to 33.6) | 1.85 (1.40 to 2.45) | 1.44 (1.11 to 1.87) |
| 65+ | 33.8 (25.0 to 42.7) | 2.27 (1.65 to 3.12) | 1.51 (1.13 to 2.01) |
| Race/ethnicity | |||
| White, non-Hispanic | 23.6 (21.1 to 26.1) | Ref. | Ref. |
| Black or African-American, non-Hispanic | 16.6 (11.7 to 21.5) | 0.70 (0.51 to 0.97) | 0.97 (0.75 to 1.25) |
| Asian, non-Hispanic | 19.1 (8.2 to 29.9) | 0.81 (0.45 to 1.46) | 0.84 (0.52 to 1.36) |
| American-Indian/Alaska Native, non-Hispanic | † | 0.81 (0.36 to 1.82) | 0.92 (0.44 to 1.90) |
| Other or multirace, non-Hispanic | 20.4 (13.4 to 27.3) | 0.86 (0.61 to 1.22) | 0.94 (0.70 to 1.25) |
| Hispanic | 13.1 (10.3 to 15.8) | 0.55 (0.44 to 0.70) | 0.79 (0.63 to 1.00) |
| Education | |||
| Less than high-school diploma | 18.5 (14.6 to 22.4) | 0.88 (0.68 to 1.14) | 1.05 (0.82 to 1.35) |
| GED | 20.6 (15.8 to 25.5) | 0.98 (0.77 to 1.26) | 0.93 (0.73 to 1.19) |
| High-school diploma | 21.0 (17.2 to 24.7) | Ref. | Ref. |
| Some college/associate degree | 22.6 (20.0 to 25.1) | 1.08 (0.88 to 1.32) | 1.00 (0.83 to 1.20) |
| Bachelor’s degree or more | 20.7 (16.6 to 24.9) | 0.99 (0.76 to 1.28) | 0.89 (0.71 to 1.12) |
| Cigarette smoking status | |||
| Current smoker | 15.1 (13.4 to 16.9) | Ref. | Ref. |
| Recent quitter (<1 year) | 67.6 (61.8 to 73.4) | 4.47 (3.90 to 5.11) | 3.21 (2.75 to 3.76) |
| Long-term former smoker (>1 year) | 54.5 (46.2 to 62.7) | 3.60 (3.01 to 4.30) | 2.89 (2.41 to 3.46) |
| Never-smoker | 11.3 (8.2 to 14.3) | 0.74 (0.56 to 0.98) | 0.81 (0.61 to 1.07) |
| Current use of other combusted tobacco products | |||
| Yes | 13.7 (11.7 to 15.7) | 0.53 (0.45 to 0.62) | 0.68 (0.57 to 0.81) |
| No | 26.0 (23.4 to 28.6) | Ref. | Ref. |
| Current use of non-combusted tobacco products | |||
| Yes | 21.8 (19.7 to 23.9) | 0.75 (0.57 to 1.00) | 0.94 (0.72 to 1.22) |
| No | 16.4 (12.0 to 20.8) | Ref. | Ref. |
| Rechargeable | |||
| Yes | 26.9 (24.6 to 29.1) | 4.09 (3.18 to 5.27) | 1.95 (1.43 to 2.65) |
| No | 6.6 (4.9 to 8.3) | Ref. | Ref. |
| Refillable | |||
| Yes | 32.6 (29.8 to 35.5) | 2.99 (2.52 to 3.56) | 2.10 (1.75 to 2.52) |
| No | 10.9 (9.1 to 12.7) | Ref. | Ref. |
Unadjusted PRs were estimated using only the relevant variable as a predictor variable; adjusted PRs were estimated using all of the variables in the table as predictor variables.
Boldface indicates statistically significant estimates (p<0.05).
Respondents who responded currently using e-cigarettes ‘every day’ (versus on ‘some days’).
Estimate was suppressed; the relative SE was >30%.
GED, General Education Development certificate; PATH, Population Assessment of Tobacco and Health.
Device characteristics, purchasing behaviour and preferred brand among established e-cigarette users
Among both daily and non-daily established e-cigarette users, 89.5% reported using an e-cigarette that contains nicotine and 67.4% reported a non-tobacco flavoured regular brand (table 5). The majority of established e-cigarette users (80.1%) reported purchasing their products in person, with over half (56.0%) purchasing from a tobacco specialty shop/vape shop compared with convenience stores/gas stations (28.9%) or other locations (15.1%). Daily e-cigarette users were more likely to purchase products online (17.0%) compared with non-daily users (11.5%) (p=0.014). Table 5 also displays the top 10 brands reported by daily and non-daily established e-cigarette users. Blu was the most frequently reported brand for both daily (23.3%) and non-daily (41.2%) users.
Table 5.
Device characteristics, purchasing behaviour and preferred brands among established e-cigarette users,* 2013–2014 PATH Study Wave 1 Survey
| Overall | Non-daily e-cigarette use | Daily e-cigarette use | ||
|---|---|---|---|---|
| % (95% CI), unweighted n=1575 |
% (95% CI), unweighted n=942 |
% (95% CI), unweighted n=633 |
p Value | |
| E-cigarette contains nicotine | 89.5 (88.1 to 90.9) | 88.2 (86.0 to 90.4) | 91.2 (88.9 to 93.6) | 0.0974 |
| Regular (or last) brand non-tobacco flavoured† | 67.4 (64.5 to 70.3) | 67.9 (64.0 to 71.9) | 66.6 (62.3 to 70.9) | 0.6473 |
| Usually buy e-cigarettes | ||||
| In person | 80.1 (77.8 to 82.4) | 80.2 (77.3 to 83.2) | 79.9 (76.0 to 83.8) | <0.0001 |
| From the internet | 13.8 (11.7 to 15.9) | 11.5 (9.0 to 13.9) | 17.0 (13.1 to 20.9) | |
| By telephone | 1.6 (0.9 to 2.3) | 1.6 (0.7 to 2.5) | ‡ | |
| I usually do not buy my own e-cigarettes | 4.5 (3.3 to 5.6) | 6.7 (4.9 to 8.5) | ‡ | |
| Usually buy e-cigarettes (among those who buy in person) | <0.0001 | |||
| A tobacco specialty shop or vape shop | 56.0 (52.3 to 59.6) | 49.4 (45.3 to 53.4) | 65.0 (60.1 to 69.8) | |
| A convenience store or gas station | 28.9 (25.7 to 32.1) | 35.4 (31.8 to 39.1) | 20.1 (15.4 to 24.8) | |
| Other | 15.1 (12.4 to 17.8) | 15.2 (12.0 to 18.4) | 15.0 (11.2 to 18.8) | |
| Top 10 brands§ | ||||
| Blu | 37.1 (34.7 to 39.6) | 41.2 (38.4 to 44.0) | 23.3 (18.8 to 27.7) | |
| NJOY | 8.6 (7.0 to 10.1) | 9.6 (7.7 to 11.4) | 5.2 (2.6 to 7.7) | |
| Logic | 4.7 (3.6 to 5.9) | 4.8 (3.6 to 6.0) | 4.5 (2.4 to 6.5) | |
| eGo¶ | 4.0 (3.2 to 4.9) | 2.2 (1.4 to 2.9) | 10.5 (7.8 to 13.1) | |
| eSmoke | 3.5 (2.6 to 4.4) | 3.5 (2.3 to 4.7) | 3.6 (1.8 to 5.3) | |
| ProVape | 3.1 (2.2 to 3.9) | 2.2 (1.5 to 3.0) | 5.8 (3.4 to 8.2) | |
| V2 Cigs | 2.9 (2.0 to 3.7) | 2.8 (1.8 to 3.7) | 3.2 (1.4 to 4.9) | |
| Mistic | 2.5 (1.7 to 3.4) | 2.7 (1.7 to 3.6) | ‡ | |
| Kangertech¶ | 2.3 (1.6 to 3.1) | 1.3 (0.7 to 1.9) | 5.9 (3.7 to 8.1) | |
| 21st Century Smoke | 2.2 (1.4 to 3.0) | 1.9 (1.1 to 2.6) | ‡ | |
p Values for cigarette smoking status categories from χ2 test. Frequencies reflect unweighted data and percentages weighted data.
Those who reported having used e-cigarettes ‘fairly regularly’ and now using e-cigarettes either ‘every day’ or ‘some days’.
Respondents who reported their regular or last e-cigarette brand was flavoured to taste like menthol, mint, clove, spice, candy, fruit, chocolate, alcohol (such as wine or cognac) or other sweets.
Estimate was suppressed; the relative SE was >30%.
Respondents were asked “What brand of e-cigarettes do you own?” and shown a list of common e-cigarette brands to choose from but could also select ‘some other brand’ and report the brand they own.
Brand names that were recoded based on the some other brand option.
PATH, Population Assessment of Tobacco and Health.
DISCUSSION
The central goal of the current analysis was to describe patterns of e-cigarette use (ie, infrequent, moderate and daily use) in relation to cigarette smoking and other tobacco use. We observed that about four in five e-cigarette users reported less than daily use, with nearly half reporting 0–2 days of use in the past month. Additionally, over two-thirds of e-cigarette users reported current cigarette smoking, and about one in six users reported being never cigarette smokers. Consistent with other recent studies,4–6 non-daily e-cigarette users were more likely to be young adults (18–24 years) and more likely to currently smoke cigarettes or use other combusted tobacco products compared with daily e-cigarette users.
Consistent with other recent research,5,7,15,27,28 being a former smoker versus a current smoker was also associated with daily e-cigarette use. Nearly 89% of current daily users reported using e-cigarettes as a way of reducing cigarette smoking, and 71.9% reported using e-cigarettes because ‘using e-cigarettes helps people to quit smoking cigarettes.’ These findings suggest that for some users, e-cigarettes may have helped them quit smoking and device type may influence the likelihood of this occurring. Wave 1 PATH Study data are cross-sectional and cannot establish temporality or the directionality of such associations; therefore, it is not clear whether daily e-cigarette use facilitated smoking cessation or if cessation occurred prior to daily use of e-cigarettes. Longitudinal data from future waves of the PATH Study will enhance our understanding of these relationships by revealing the timing of transitions between various states of use of e-cigarettes and other tobacco products. Moreover, future waves will permit examination of the stability of use patterns to understand, for instance, what proportion of infrequent users are experimenters who will discontinue use, early-stage initiators who will progress to more frequent use or low-level users who will not remain in their original use state.
These results also highlight an association between device types and patterns of use. In particular, using rechargeable or refillable devices was associated with daily e-cigarette use compared with non-daily use. This suggests that certain e-cigarette design features may be associated with adopting daily use, perhaps facilitating smoking cessation.28 Similarly, several studies have suggested that certain device characteristics, such as higher-voltage batteries and heating element resistance, may increase efficacy in nicotine delivery.28
An important contribution of the PATH Study to e-cigarette use research is the flexibility it allows for comparison of multiple and more specific definitions of use. Distinguishing e-cigarette users according to complex patterns of use is critical, as they are a heterogeneous group: underlying motivations for e-cigarette use differ between infrequent social users compared with daily users seeking an alternative to cigarettes. Early research on e-cigarette awareness and use relied on crude measures such as ever use in one’s lifetime or use at least once in the past 30 days,2 which likely captured infrequent use due to curiosity and experimentation in addition to stable, frequent use. More recent efforts have focused on refining descriptions of e-cigarette use.6,15,22 The present study builds on this growing literature by further disentangling the range of frequency and intensity of use among e-cigarette users. This level of detailed information on patterns of use not yet afforded by US national studies provides insight into who, how much and how frequently people are using these products.
Limitations
The cross-sectional nature of the PATH Study Wave 1 data prevents us from identifying temporal relationships such as the timing of quitting smoking and establishing daily e-cigarette use. Given that e-cigarette use is relatively new and the marketplace has rapidly evolved, some respondents may have interpreted questions about product use and characteristics in different ways. For example, some daily users reported they had never used a whole e-cigarette or reported very low lifetime use despite the use of images and detailed descriptions of e-cigarette device types in the PATH Study to facilitate respondents’ understanding of the question. Additionally, the cut-point for e-cigarette use categories in this study was based on the distribution of the number of days used out of the past 30 given the limited information available from prospective studies suggesting meaningful cut-points for use patterns. Finally, e-cigarette products are continually evolving; and the products reflected in the US marketplace in 2013–2014 are not necessarily the same as those available at the present time. The PATH Study updates study questionnaires to reflect the marketplace at the time in which each Wave goes into the field. Furthermore, this analysis was limited in its ability to differentiate among currently available device types. It is important to note that use of products with different characteristics (eg, ease, speed and dose of nicotine delivery) may lead to variability in individual patterns of use, including transitions between products. Future research, including future waves of the PATH Study that will include more detailed device type information (eg, use of a tank system and device modifications), should reveal if and how patterns of e-cigarette use vary among users of different device types.
Conclusions
This analysis adds to the literature on e-cigarette use by describing in greater detail the diverse patterns of e-cigarette use among a nationally representative sample of US adults in 2013–2014. Wave 1 analyses of the PATH Study data suggest that, whereas a majority of e-cigarette users also smoke cigarettes, a proportion of e-cigarette users reported former cigarette smoking. Moreover, daily e-cigarette users were more likely to be former smokers compared with non-daily e-cigarette users. The stability of each of these use patterns, their relationship to use of other tobacco products and the impact of these complex behavioural patterns on harmful tobacco-related exposures—and thereby the impact on morbidity and mortality—will ultimately determine the net population health impact of e-cigarettes in the USA.
What this paper adds.
Research indicates that prevalence of ever and current e-cigarette use among adults in the USA is highest among recent former and current smokers. Although several US population-based surveys have reported on prevalence of ever and current e-cigarette use in the context of cigarette smoking, a gap remains regarding detailed product information (eg, device characteristics), purchasing behaviour and motivations for use. Our study provides details on these characteristics that have not been captured by other US national cross-sectional surveys to date.
The majority of e-cigarette users in this study reported less than daily use, with nearly half reporting 0–2 days of use in the past month. Compared with non-daily use, daily use was associated with using rechargeable or refillable devices as well as being a former smoker.
Acknowledgements
The authors acknowledge Kimberly Lindsey, Priscilla Callahan-Lyon, Deborah Neveleff and Benjamin Apelberg from the US Food and Drug Administration’s Center for Tobacco Products and Karen Messer from the University of California, San Diego, California, USA.
Funding This manuscript is supported with Federal funds from the National Institute on Drug Abuse; National Institutes of Health and the Food and Drug Administration, Departmentof Health and Human Services, under a contract to Westat (Contract No HHSN271201100027C).
Footnotes
Publisher's Disclaimer: Disclaimer This publication represents the views of the authors and does not necessarily represent the views of the US Food and Drug Administration, the National Institute on Drug Abuse of the US Department of Health and Human Services.
Competing interests MLG received research grant from Pfizer and served as a member of advisory board to J&J, manufacturers of smoking cessation medications. RN served as an expert witness for plaintiff versus tobacco companies. WMC reports long-term stock ownership in General Electric, 3M Companies, and Pfizer unrelated to the contentof this paper. No additional financial disclosures were reported by the authors of this paper.
Ethics approval Westat’s Institutional Review Board approved the study design and protocol, and the Office of Management and Budget approved the data collection.
Provenance and peer review Not commissioned; externally peer reviewed.
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