Non-daily Smokers Research Articles

One of several ‘toys’ for smoking: young adult experiences with electronic cigarettes in New York City

ObjectiveThis qualitative research explores the use of electronic cigarettes and other similar ‘vapor’ delivery devices among young adults in New York City.MethodsWe employed 17 focus groups followed by 12 semistructured...

The effect of smoke-free air law in bars on smoking initiation and relapse among teenagers and young adults.

Background: Existing evidence has shown that most smoking uptake and escalation occurs while smokers are teenagers or young adults. Effective policies that reduce smoking uptake and escalation will play an important role in curbing cigarette smoking. This study aims to investigate the effect of smoke-free air (SFA) laws in bars on smoking initiation/relapse while controlling for other confounders. Methods: The national longitudinal Survey of Youth 1997 (NLSY97) from 1997–2009 was linked to state-level scores for the strength of SFA laws in order to carry out the analysis. Results and Conclusion: We find that SFA laws in bars with exemptions significantly reduce (p ≤ 0.01) the probability of smoking initiation (one-puff, daily, and heavy smoking initiation). The 100% SFA law in bars without exemption significantly deters smoking relapse from abstinence into daily smoking (p ≤ 0.05) or relapse from abstinence into heavy smoking (p ≤ 0.01) among people age 21 or older. The reduction of one-puff and daily smoking initiation is larger among ages 20 or younger than ages 21 or older, while the reduction in relapse does not differ by whether respondents reach the drinking age. Results also indicate that higher cigarette taxes significantly reduce daily smoking initiation and relapse into nondaily and light smoking.

Correlates of Converted and Native Nondaily Smoking.

Nondaily smokers represent a growing proportion of current smokers in the United States. However, little is known about which characteristics are important in distinguishing between nondaily smokers who are former daily smokers (converted nondaily) and nondaily smokers who never smoked daily (native nondaily). This study contrasts converted and native nondaily smokers on demographic, psychosocial, tobacco-related characteristics and quit intentions and behaviors in a tri-ethnic sample (Blacks, Whites, and Latinos) of smokers. Smokers were recruited for a web-based survey using an online panel survey company. Participants were 1,201 nondaily smokers (904 converted nondaily smokers and 297 native nondaily smokers). A multivariable logistic regression was conducted to assess the associations between demographic, smoking-related, and psychosocial variables with converted versus native nondaily smoking. Logistic regression indicated that number of years smoking, years as a nondaily smoker, number of days smoked in a month, smoking dependence, identity as a smoker, and number of smoking cessation methods used were correlates of being converted nondaily smokers versus native nondaily smokers. Clinicians and researchers should consider characteristic variations in nondaily smokers when designing and implementing intervention efforts targeting this smoking population.

Wreaking “Havoc” on Smoking

More than 25% of young adult Oklahomans smoked cigarettes in 2012. Tobacco marketing campaigns target young adults in social environments like bars/nightclubs. Social Branding interventions are designed to compete directly with this marketing. To evaluate an intervention to reduce smoking among young adult "Partiers" in Oklahoma. The Partier peer crowd was described as follows: attendance at large nightclubs, fashion consciousness, valuing physical attractiveness, and achieving social status by exuding an image of confidence and financial success. Repeated cross-sectional study with three time points. Randomized time location survey samples of young adult Partier bar and club patrons in Oklahoma City (Time 1 [2010], n=1,383; Time 2 [2011], n=1,292; and Time 3 [2012], n=1,198). Data were analyzed in 2013. The "HAVOC" Social Branding intervention was designed to associate a smoke-free lifestyle with Partiers' values, and included events at popular clubs, brand ambassador peer leaders who transmit the anti-tobacco message, social media, and tailored anti-tobacco messaging. Daily and nondaily smoking rates, and binge drinking rates (secondary). Overall, smoking rates did not change (44.1% at Time 1, 45.0% at Time 2, and 47.4% at Time 3; p=0.17), but there was a significant interaction between intervention duration and brand recall. Partiers reporting intervention recall had lower odds of daily smoking (OR=0.30 [0.10, 0.95]) and no difference in nondaily smoking, whereas Partiers who did not recall the intervention had increased odds of smoking (daily AOR=1.74 [1.04, 2.89]; nondaily AOR=1.97 [1.35, 2.87]). Among non-Partiers, those who recalled HAVOC reported no difference in smoking, and those who did not recall HAVOC reported significantly increased odds of smoking (daily AOR=1.53 [1.02, 2.31]; nondaily AOR=1.72 [1.26, 2.36]). Binge drinking rates were significantly lower (AOR=0.73 [0.59, 0.89]) overall. HAVOC has the potential to affect smoking behavior among Oklahoma Partiers without increasing binge drinking.

Gender differences in use of alternative tobacco products among daily and nondaily smokers

Gender differences in use of alternative tobacco products among daily and nondaily smokers

Smoking characteristics among lesbian, gay, and bisexual adults

ObjectiveCigarette smoking is the leading preventable cause of death and disease in the United States. Sexual minorities (lesbians, gay men, and bisexuals), smoke at higher rates than the general population. However, little else is known about sexual minority smokers. Furthermore, the sexual minority population is diverse and little research exists to determine whether subgroups, such as lesbians, gay men, and female and male bisexuals, differ on smoker characteristics. We examine differences in smoking characteristics (advertising receptivity, age of first cigarette, non-daily smoking, cigarettes per day, nicotine dependence, desire to quit and past quit attempts) among lesbians, gay men, and female and male bisexual adults in the United States. MethodsSecondary analysis of the CDC's (Centers for Disease Control and Prevention) 2009–2010 National Adult Tobacco Survey (N=118,590). ResultsControlling for age, race, socioeconomic status and geographic region, identifying as a female bisexual was associated with fewer past quit attempts, lower age at first cigarette, and higher nicotine dependence when compared to heterosexual women. There were no differences in desire to quit between male or female sexual minorities and their heterosexual counterparts. ConclusionSexual minority individuals smoke at higher rates than heterosexuals and yet similarly desire to quit. Tailored efforts may be needed to address smoking among bisexual women.

Smoking dependence across the levels of cigarette smoking in a multiethnic sample

ObjectivesThe Brief Wisconsin Inventory of Smoking Dependence Motives (WISDM) is a multi-dimensional smoking dependence measure that assesses primary dependence motives (PDM; e.g., core dependence marked by tolerance, craving) and secondary dependence motives (SDM; e.g., auxiliary dependence motives such as cognitive enhancement, weight control). However, the relationship between PDM, SDM, and smoking level remains unclear. Thus, we examined these scales across smoking levels in a diverse sample of smokers. MethodsParticipants were 2376 African American, Latino, and non-Hispanic White smokers recruited using an online panel research company. The sample included 297 native nondaily smokers (never smoked daily), 297 converted nondaily smoker (previously smoked daily for ≥six months), 578 light daily smokers (≤10 cigarettes per day [cpd]), and 597 moderate to heavy daily smokers (>10cpd). MethodsResults of a multinomial logistic regression showed that for each unit increase in SDM, after controlling for PDM, the odds of being a native nondaily, converted nondaily or light smoker vs. moderate to heavy smoker increased by 29% to 56% (ps<0.001). In the model, higher PDM scores were associated with lower odds of being a native nondaily, converted nondaily, or light smoker vs. a moderate to heavy daily smoker (ps<0.001). ConclusionNondaily and light smokers endorse higher secondary dependence motives relative to their primary dependence motives. Smoking cessation trials for nondaily and light smokers might address these secondary motives within the context of counseling intervention to enhance abstinence.

Trends in Electronic Cigarette Use Among U.S. Adults: Use is Increasing in Both Smokers and Nonsmokers.

We assessed trends in use of electronic cigarettes among U.S. adults, demographic predictors of use, and smoking status of current electronic cigarette users. Mixed-mode surveys were used to obtain representative, cross-sectional samples of U.S. adults in each of 4 years. Sample sizes for 2010, 2011, 2012, and 2013 were 3,240, 3,097, 3,101, and 3,245, respectively. Ever use of electronic cigarettes increased from 1.8% (2010) to 13.0% (2013), while current use increased from 0.3% to 6.8%, p < .001. Prevalence of use increased significantly across all demographic groups. In 2013, current use among young adults 18-24 (14.2%) was higher than adults 25-44 (8.6%), 45-64 (5.5%), and 65+ (1.2%). Daily smokers (30.3%) and nondaily smokers (34.1%) were the most likely to currently use e-cigarettes, compared to former smokers (5.4%) and never-smokers (1.4%), p < .001. However, 32.5% of current electronic cigarette users are never- or former smokers. There has been rapid growth in ever and current electronic cigarette use over the past 4 years. Use is highest among young adults and current cigarette smokers. Although smokers are most likely to use these products, almost a third of current users are nonsmokers, suggesting that e-cigarettes contribute to primary nicotine addiction and to renormalization of tobacco use. Regulatory action is needed at the federal, state, and local levels to ensure that these products do not contribute to preventable chronic disease.

Perceived Harm of Tobacco Products and Individual Schemas of a Smoker in Relation to Change in Tobacco Product Use Over One Year Among Young Adults

Introduction: Given increases in nondaily smoking and alternative tobacco use among young adults, we examined the nature of change of various tobacco product use among college students over a year and predictors of use at one-year follow-up. Methods: An online survey was administered to students at six Southeast colleges and universities (N = 4,840; response rate = 20.1%) in Fall 2010, with attempts to follow up in Fall 2011 with a random subsample of 2,000 participants (N = 718; response rate = 35.9%). Data were analyzed from 698 participants with complete data regarding tobacco, marijuana, and alcohol use over a one-year period, perceived harm of tobacco use, and schemas of a “smoker” (as per the Classifying a Smoker Scale). Results: Baseline predictors of current smoking at follow-up included being White (p = .001), frequency of smoking (p < .001), alternative tobacco use (p < .001), and perceived harm of smoking (p = .02); marginally significant predictors included marijuana use (p = .06) and lower scores on the Classifying a Smoker Scale (p = .07). Baseline predictors of current smoking at follow-up among baseline nondaily smokers included more frequent smoking (p = .008); lower Classifying a Smoker Scale score was a marginally significant predictor (p = .06). Baseline predictors of alternative tobacco use at follow-up included being male (p = .007), frequency of smoking (p = .04), alternative tobacco use (p < .001), and frequency of alcohol use (p = .003); marginally significant predictors included marijuana use (p = .07) and lower perceived harm of smokeless tobacco (p = .06) and cigar products (p = .08). Conclusions: Tobacco control campaigns and interventions might target schemas of a smoker and perceived risks of using various tobacco products, even at low levels.

Perceived Harm, Addictiveness, and Social Acceptability of Tobacco Products and Marijuana Among Young Adults: Marijuana, Hookah, and Electronic Cigarettes Win

Background: There has been an increase in non-daily smoking, alternative tobacco product and marijuana use among young adults in recent years. Objectives: This study examined perceptions of health risks, addictiveness, and social acceptability of cigarettes, cigar products, smokeless tobacco, hookah, electronic cigarettes, and marijuana among young adults and correlates of such perceptions. Methods: In Spring 2013, 10,000 students at two universities in the Southeastern United States were recruited to complete an online survey (2,002 respondents), assessing personal, parental, and peer use of each product; and perceptions of health risks, addictiveness, and social acceptability of each of these products. Results: Marijuana was the most commonly used product in the past month (19.2%), with hookah being the second most commonly used (16.4%). The least commonly used were smokeless tobacco products (2.6%) and electronic cigarettes (4.5%). There were high rates of concurrent product use, particularly among electronic cigarette users. The most positively perceived was marijuana, with hookah and electronic cigarettes being second. While tobacco use and related social factors, related positively, influenced perceptions of marijuana, marijuana use and related social factors were not associated with perceptions of any tobacco product. Conclusions/Importance: Marketing efforts to promote electronic cigarettes and hookah to be safe and socially acceptable seem to be effective, while policy changes seem to be altering perceptions of marijuana and related social norms. Research is needed to document the health risks and addictive nature of emerging tobacco products and marijuana and evaluate efforts to communicate such risks to youth.

General and smoking cessation weight concern in a Hispanic sample of light and intermittent smokers

This study assessed general and cessation related weight concerns in a Hispanic sample of light (≤10 cigarettes per day) and intermittent (non-daily smoking) smokers (LITS) participating in a brief smoking cessation intervention. Three hundred and fifty-four Hispanic LITS (Mage=34.2, SD=14; 51.1% male; 57.9% Mexican American; 59.0% daily light, 41.0% intermittent) completed baseline measures assessing demographics, tobacco use/history, stage of change (SOC), general weight concern, and cessation related weight concern. Three multiple logistic regression models examined potential predictors (i.e., age, gender, SOC, cigarettes per month, smoking status [daily vs non-daily], weight, cessation related weight concern, general weight concern) of general weight concern, cessation related weight concern, and past 30day abstinence (controlling for the intervention). Study results indicated that a majority of participants reported general weight concern (59.6%), and slightly more than a third (35.6%) reported post cessation weight gain concern (mean and median weight tolerated before relapse were within the 10–12lb range). Lower weight and endorsing general weight concern were associated with cessation related weight concern. Female gender, higher weight, and endorsing cessation related weight concern were associated with general weight concern. Monthly cigarette use was associated with smoking cessation at the three-month follow-up. The results indicate a substantial prevalence of general weight concern and non-trivial rates of cessation related weight concern in Hispanic LITS attempting to quit, and greater success in quitting among those who reported lower rates of cigarettes smoked per month.

Development of the PROMIS coping expectancies of smoking item banks.

Smoking is a coping strategy for many smokers who then have difficulty finding new ways to cope with negative affect when they quit. This paper describes analyses conducted to develop and evaluate item banks for assessing the coping expectancies of smoking for daily and nondaily smokers. Using data from a large sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning (DIF) analyses (according to gender, age, and ethnicity) to arrive at a unidimensional set of items for daily and nondaily smokers. We also evaluated performance of short forms (SFs) and computer adaptive tests (CATs) for assessing coping expectancies of smoking. For both daily and nondaily smokers, the unidimensional Coping Expectancies item banks (21 items) are relatively DIF free and are highly reliable (0.96 and 0.97, respectively). A common 4-item SF for daily and nondaily smokers also showed good reliability (0.85). Adaptive tests required an average of 4.3 and 3.7 items for simulated daily and nondaily respondents, respectively, and achieved reliabilities of 0.91 for both when the maximum test length was 10 items. This research provides a new set of items that can be used to reliably assess coping expectancies of smoking, through a SF, CAT, or a tailored set selected for a specific research purpose.

Development of the PROMIS negative psychosocial expectancies of smoking item banks.

Negative psychosocial expectancies of smoking include aspects of social disapproval and disappointment in oneself. This paper describes analyses conducted to develop and evaluate item banks for assessing psychosocial expectancies among daily and nondaily smokers. Using data from a sample of daily (N = 4,201) and nondaily (N =1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of psychosocial expectancies items for daily and nondaily smokers. We also evaluated performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess psychosocial expectancies. A total of 21 items were included in the Psychosocial Expectancies item banks: 14 items are common across daily and nondaily smokers, 6 are unique to daily, and 1 is unique to nondaily. For both daily and nondaily smokers, the Psychosocial Expectancies item banks are strongly unidimensional, highly reliable (reliability = 0.95 and 0.93, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.85). Results from simulated CATs showed that, on average, fewer than 8 items are needed to assess psychosocial expectancies with adequate precision when using the item banks. Psychosocial expectancies of smoking can be assessed on the basis of these item banks via the SF, by using CAT, or through a tailored set of items selected for a specific research purpose.

Development of the PROMIS nicotine dependence item banks.

Nicotine dependence is a core construct important for understanding cigarette smoking and smoking cessation behavior. This article describes analyses conducted to develop and evaluate item banks for assessing nicotine dependence among daily and nondaily smokers. Using data from a sample of daily (N = 4,201) and nondaily (N =1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of nicotine dependence items for daily and nondaily smokers. We also evaluated performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess dependence. A total of 32 items were included in the Nicotine Dependence item banks; 22 items are common across daily and nondaily smokers, 5 are unique to daily smokers, and 5 are unique to nondaily smokers. For both daily and nondaily smokers, the Nicotine Dependence item banks are strongly unidimensional, highly reliable (reliability = 0.97 and 0.97, respectively), and perform similarly across gender, age, and race/ethnicity groups. SFs common to daily and nondaily smokers consist of 8 and 4 items (reliability = 0.91 and 0.81, respectively). Results from simulated CATs showed that dependence can be assessed with very good precision for most respondents using fewer than 6 items adaptively selected from the item banks. Nicotine dependence on cigarettes can be assessed on the basis of these item banks via one of the SFs, by using CATs, or through a tailored set of items selected for a specific research purpose.

Development of the PROMIS health expectancies of smoking item banks.

Smokers' health-related outcome expectancies are associated with a number of important constructs in smoking research, yet there are no measures currently available that focus exclusively on this domain. This paper describes the development and evaluation of item banks for assessing the health expectancies of smoking. Using data from a sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of health expectancies items for daily and nondaily smokers. We also evaluated the performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess health expectancies. A total of 24 items were included in the Health Expectancies item banks; 13 items are common across daily and nondaily smokers, 6 are unique to daily, and 5 are unique to nondaily. For both daily and nondaily smokers, the Health Expectancies item banks are unidimensional, reliable (reliability = 0.95 and 0.96, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.87). Results from simulated CATs showed that health expectancies can be assessed with good precision with an average of 5-6 items adaptively selected from the item banks. Health expectancies of smoking can be assessed on the basis of these item banks via SFs, CATs, or through a tailored set of items selected for a specific research purpose.

Development of the PROMIS Social Motivations for Smoking item banks.

Smoking behavior is influenced by social motivations such as the expected social benefits of smoking and the social cues that induce craving. This paper describes development of the PROMIS Social Motivations for Smoking item banks, which will serve to standardize assessment of these social motivations among daily and nondaily smokers. Daily (N = 4,201) and nondaily (N =1,183) smokers completed an online survey. Item factor analyses, item response theory analyses, and differential item functioning analyses were conducted to identify a unidimensional set of items for each group. Short forms (SFs) and computer adaptive tests (CATs) were evaluated as tools for more efficiently assessing this construct. A total of 15 items were included in the item banks (9 items common to daily and nondaily smokers, 3 unique to daily, 3 unique to nondaily). Scores based on full item banks are highly reliable (reliability = 0.90-0.91). Additionally, the item banks are strongly unidimensional and perform similarly across gender, age, and race/ethnicity groups. A fixed SF for use with both daily and nondaily smokers consists of 4 items (reliability = 0.80). Results from simulated CATs showed that, on average, fewer than 5 items are needed to assess this construct with adequate precision using the item banks. A new set of items has been identified for assessing the social motivations for smoking in a reliable, standardized manner for daily and nondaily smokers. In addition to using the full item banks, efficient assessment can be achieved by using SFs, employing CATs, or selecting items tailored to specific research or clinical purposes.

Development of the PROMIS positive emotional and sensory expectancies of smoking item banks.

The positive emotional and sensory expectancies of cigarette smoking include improved cognitive abilities, positive affective states, and pleasurable sensorimotor sensations. This paper describes development of Positive Emotional and Sensory Expectancies of Smoking item banks that will serve to standardize the assessment of this construct among daily and nondaily cigarette smokers. Data came from daily (N = 4,201) and nondaily (N =1,183) smokers who completed an online survey. To identify a unidimensional set of items, we conducted item factor analyses, item response theory analyses, and differential item functioning analyses. Additionally, we evaluated the performance of fixed-item short forms (SFs) and computer adaptive tests (CATs) to efficiently assess the construct. Eighteen items were included in the item banks (15 common across daily and nondaily smokers, 1 unique to daily, 2 unique to nondaily). The item banks are strongly unidimensional, highly reliable (reliability = 0.95 for both), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.86). Results from simulated CATs indicated that, on average, less than 8 items are needed to assess the construct with adequate precision using the item banks. These analyses identified a new set of items that can assess the positive emotional and sensory expectancies of smoking in a reliable and standardized manner. Considerable efficiency in assessing this construct can be achieved by using the item bank SF, employing computer adaptive tests, or selecting subsets of items tailored to specific research or clinical purposes.

The PROMIS smoking assessment toolkit--background and introduction to supplement.

The PROMIS Smoking Initiative has developed an assessment toolkit for measuring 6 domains of interest to cigarette smoking research: nicotine dependence, coping expectancies, emotional and sensory expectancies, health expectancies, psychosocial expectancies, and social motivations for smoking. The papers in this supplement describe the methods used to develop these item banks, their psychometric properties, and the preliminary evidence for their validity. This commentary is meant to provide background information for the material in this supplement. After discussing the use of item response theory in behavioral measurement, I will briefly review the initial developmental steps for the smoking assessment toolkit. Finally, I will describe the contents of this supplement and provide some closing remarks. Psychometric evidence strongly supports the utility of the toolkit of item banks, short forms (SFs), and computer adaptive tests (CATs). The item banks for daily smokers produce scores with reliability estimates above 0.90 for a wide range of each cigarette smoking domain continuum, and SF and CAT administrations also achieve high reliability (generally greater than 0.85) using very few items (4-7 items for most banks). Performance of the banks for nondaily smokers is similar. Preliminary evidence supports the concurrent and the discriminant validity of the bank domains. The new smoking assessment toolkit has attractive measurement features that are likely to benefit smoking research as researchers begin to utilize this resource. Information about the toolkit and access to the assessments is available at the project Web site (http://www.rand.org/health/projects/promis-smoking-initiative.html) and can also be accessed via the PROMIS Assessment Center (www.assessmentcenter.net).

The PROMIS Smoking Initiative: initial validity evidence for six new smoking item banks.

The Patient-Reported Outcomes Measurement Information System (PROMIS) Smoking Initiative has developed 6 item banks for assessing smoking behaviors and biopsychosocial correlates of smoking among daily and nondaily adult cigarette smokers. This paper presents descriptive information and preliminary validity evidence for the item banks (Nicotine Dependence, Coping Expectancies, Emotional and Sensory Expectancies, Health Expectancies, Psychosocial Expectancies, and Social Motivations). Using data from a large sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we generated mean daily and nondaily smoking bank scores according to select demographic groups. We also examined correlations among the 6 banks and examined the associations of bank scores with smoking behavior items (e.g., quantity of smoking, interest in quitting) and select health-related quality of life measures (i.e., physical functioning, anxiety, alcohol consumption). Correlations among the 6 banks are moderate (daily mean r = .48, range = .04-.80; nondaily mean r = .47, range = .12-.75). The pattern of associations between bank scores and other measures provides validity evidence for the bank domains (e.g., nicotine dependence is most strongly associated with smoking quantity and time to first cigarette of the day; health and psychosocial expectancies are most related to quitting recency and interest; coping expectancies are strongly associated with anxiety). These analyses provide useful descriptive information about the 6 smoking item banks as well as preliminary evidence for their validity. Independent sample data are currently being collected to replicate these findings, to establish test-retest reliability, and to develop crosswalks to existing smoking measures (e.g., nicotine dependence to Fagerström Test for Nicotine Dependence). Future research will also evaluate the bank scores' sensitivity to change.

Measures of initiation and progression to increased smoking among current menthol compared to non-menthol cigarette smokers based on data from four U.S. government surveys

There are no large-scale, carefully designed cohort studies that provide evidence on whether menthol cigarette use is associated with a differential risk of initiating and/or progressing to increased smoking. However, questions of whether current menthol cigarette smokers initiated smoking at a younger age or are more likely to have transitioned from non-daily to daily cigarette use compared to non-menthol smokers can be addressed using cross-sectional data from U.S. government surveys. Analyses of nationally representative samples of adult and youth smokers indicate that current menthol cigarette use is not associated with an earlier age of having initiated smoking or greater likelihood of being a daily versus non-daily smoker. Some surveys likewise provide information on cigarette type preference (menthol versus non-menthol) among youth at different stages or trajectories of smoking, based on number of days smoked during the past month and/or cigarettes smoked per day. Prevalence of menthol cigarette use does not appear to differ among new, less experienced youth smokers compared to established youth smokers. While there are limitations with regard to inferences that can be drawn from cross-sectional analyses, these data do not suggest any adverse effects for menthol cigarettes on measures of initiation and progression to increased smoking.