Heterogeneity among smokers and non-smokers in attitudes and behaviour regarding smoking and smoking restrictions

OBJECTIVE: To determine if smokers and non-smokers cluster into meaningful, discrete subgroups with distinguishable attitudes and behaviours regarding smoking and smoking restrictions. DESIGN: Qualitative research with 45 smokers guided development of questionnaire items applied in a population based telephone survey of 432 current smokers and 1332 non-smokers in Ontario, Canada. METHODS: Cluster analysis of questionnaire items used to categorise adult smokers and non-smokers; comparison of clusters on sociodemographic characteristics and composite knowledge and attitude scores. RESULTS: Smokers clustered in three groups. "Reluctant" smokers (16%) show more concern about other people discovering that they smoke, but parallel "easygoing" smokers (42%) in supporting restrictions on smoking and not smoking around others. "Adamant" smokers (42%) feel restrictions have gone too far, and are less likely to accommodate non-smokers. Significant gradients across categories in the expected direction were observed with respect to smoking status, stage of change, knowledge, and attitude scores, and predicted compliance with restrictions, validating the proposed typology. Non-smokers also clustered into three groups, of which the "adamant" non-smokers (45%) are the least favourably disposed to smoking. "Unempowered" non-smokers (34%) also oppose smoking, but tend not to act on it. "Laissez-faire" non-smokers (21%) are less opposed to smoking in both attitude and behaviour. A significant gradient across categories in the expected direction was observed with respect to composite scores regarding knowledge of the health effects of active and passive smoking and a composite score on support for restrictions on smoking in public places. CONCLUSION: Recognition and consideration of the types of smokers and non-smokers in the population and their distinguishing characteristics could inform the development of tobacco control policies and programmes and suggest strategies to assist implementation.     

Socioeconomic and drug use determinants of smoking status in an urban adult population of Black African descent

We examined the influence of socioeconomics and drug use on current smokers (N = 137) and nonsmokers (N = 143) from an urban adult population of Black African descent. Median participant age was 33 years (range = 20-59). Smokers consumed a median of eight cigarettes/day (range = 0-35). Interestingly, 86% smoked fewer than 15 cigarettes/day and only 8% smoked menthol cigarettes. Socioeconomic and drug use variables significantly associated with smoking status in univariate analyses were included in a multiple logistic regression model that controlled for gender and age. Compared with nonsmokers, smokers were less likely to be university educated, more likely to be divorced, separated, or widowed, more likely to be current alcohol users, and more likely to be current marijuana users. Unexpectedly, household income and employment status were not associated with smoking status. Among current alcohol users, smokers consumed three times the number of drinks per month that nonsmokers consumed (p<.001). Among current marijuana users, smokers consumed more than five times the number of joints per month that nonsmokers consumed (p<.001). Overall, lower education levels, divorce, and alcohol and marijuana use were significantly associated with increased likelihood of smoking among this population.     

Characteristics of selectors of nicotine replacement therapy

Objective: To assess differences in demographic and smoking characteristics between smokers who have and have not used nicotine replacement therapy (NRT). Design: Mail survey of US smokers from a national research panel. Participants: Smokers 18 years and over who returned a survey on smoking (n = 9630). The sample was weighted to match the US smoker population on age and sex. Main outcome measures: Compared smokers who had/had not used NRT in a quit attempt (ever NRT use or over the counter (OTC) NRT use) on: demographic characteristics, nicotine dependence, history of craving and withdrawal, expected difficulty quitting, and self reported history of smoking related medical illness and psychopathology. Results: NRT users (both ever-users and OTC users) were more likely to be older, male, and better educated. They were also heavier smokers, had experienced more craving and withdrawal upon quitting, and scored higher on measures of dependence. These differences were evident among light smokers, and remained even when smoking rate and time to first cigarette were controlled. Conclusion: Smokers who elect to use NRT differ from non-NRT users in ways that predispose them to failure in cessation. Controlling for smoking rate and time to first cigarette does not eliminate these differences, even among light smokers. These differences must be considered when comparing the effectiveness of NRT among samples of smokers who self select their treatment and are likely to bias such outcome comparisons.     

Smoking behaviour among young adults: beyond youth prevention

Objective: There is a widespread assumption that smoking behaviour is largely established by the age of 18 years. As a result, smoking prevention has focused almost exclusively upon youth. However, recent trends suggest that young adulthood may be an important—and largely overlooked—period in the development of regular smoking behaviour. The current study sought to examine patterns of tobacco use among young adults (aged 18–29 years) and to address the implications for tobacco control policy.

Design: Data are presented from the 2003 Canadian Tobacco Use Monitoring Survey, a national survey of smoking behaviour (n = 10 559, response rate 89%).

Main outcome measures: Measures of smoking behaviour, smoking initiation, susceptibility to smoking, and occupational status.

Results: A total of 1.4 million or 28% of young adults in Canada currently smoke, the highest proportion among all age groups. The prevalence of daily smoking rose from 8% among youth to 22% among young adults, and approximately one fifth of smokers tried their first cigarette after the age of 18 years. Smoking behaviour among young adults was also distinct from older smokers: young adults were more likely to be occasional smokers and reported lower daily consumption. Finally, smoking prevalence and cessation rates varied substantially within subgroups of young adults, as characterised by occupational setting.

Conclusions: Dramatic increases in the proportion and intensity of smoking occurs after the age of 18 years. Smoking behaviour among young adults is distinct from both youth and older adults, and warrants immediate attention from the public health community.

     

Smoking cessation in China: findings from the 1996 national prevalence survey

OBJECTIVES: To describe patterns of smoking and smoking cessation in China within the context of the stages of change model, using data from the 1996 national prevalence survey. DESIGN: A cross sectional survey was carried out using the 145 preselected disease surveillance points, which provide a representative sample for the entire country. A standardised questionnaire on smoking was interviewer administered. SETTING: The country of China. SUBJECTS: 122,220 people aged 15-69 years. MAINTENANCE MEASURES: Smoking cessation patterns, as defined by smoking status (current or former) and stage of change (precontemplation, contemplation, and action). RESULTS: The sample included 45,995 ever smokers of whom 4336 had quit. About 72% of current smokers reported not intending to give up their smoking behaviour, and about 16% of current smokers said they intended to do so, but have not taken any action. Of all ever smokers, the percentage of former smokers was 9.5%, and 12% of current smokers had quit at least once, but relapsed by the time of the survey. The patterns were similar in men and women with regard to the stated intent to quit. Among males, the percentage of former smokers increased with age but the percentage intending to quit was constant at about 15% across age strata. The most common reason for quitting was illness. Participants with a university education were more likely to have made an attempt to quit. CONCLUSIONS: The percentage of smokers contemplating quitting was low in China in 1996. The study shows that smokers in China must be mobilised to contemplate quitting and then to take action.     

Rural adolescent attitudes toward smoking and weight loss: relationship to smoking status.

Perceptions that smoking contributes to weight loss are widespread among youth. We examined the association between weight loss and smoking to determine whether supportive attitudes were associated with smoking status and whether this is a particular problem in rural areas. High school students (N=730) completed a survey assessing smoking-related characteristics and behaviors. Attitudes assessed included perceptions of whether weight concerns were the reasons others smoke and personal beliefs about tobacco's effect on weight gain. Smoking status was categorized as never (44%), experimental (42%), and current (14%). Multinomial logistic regressions investigated relationships between attitudes and smoking, adjusting for weight goals, gender, ethnicity, parent/peer smoking, and body mass index. Both attitudinal measures were associated with smoking (p< .05). Nonsmokers and experimental smokers were more likely than current smokers to believe that people smoke to lose weight. Although current smokers were less likely to report that others smoke for weight control, they believed they would gain weight if they quit. Conversely, nonsmokers and experimental smokers were less likely to believe they would gain weight if they do not smoke compared with current smokers. Thus personal attitudes differ from attitudes toward others with respect to weight loss and smoking. Moreover, endorsement of these attitudes can reliably distinguish current versus experimental smokers and may help better clarify the transition to current smoker. Because weight concerns are a significant factor in youth smoking, these issues should be included in intervention efforts, particularly in rural communities where smoking rates are higher and age at initiation is earlier.     

Smokers' attitudes and behaviors related to consumer demand for cessation counseling in the medical care setting.

This study describes a new segmentation strategy exploring smokers' interest levels in counseling in the medical care setting in order to understand how public health communications can be designed to increase consumer demand for cessation services within this population. A subsample of 431 smokers from a large, nationally representative mail survey was analyzed and categorized into three cessation-demand groups: Low demand (LD), medium demand (MD), and high demand (HD). HD smokers were most likely to be heavy smokers, to make quitting a high priority, and to have self-efficacy in quitting. MD and LD smokers were less likely than HD smokers to have been told to quit smoking by a health care provider in the past or to believe that counseling is effective. The first step in the regression analysis revealed that age, cigarettes smoked per month, whether smokers were currently trying to quit, and whether they were ever told to quit smoking by their health care provider accounted for 21% of the variance in smokers' interest in smoking cessation counseling, F(4, 234) = 16.49, p<.001. When additional variables on attitudes toward smoking and quitting and perceived effectiveness of receiving counseling in the medical care setting were added to the model, an additional 11% of the variance in smokers' interest in cessation counseling was explained, F(12, 234) = 10.07, p<.001. Results suggest that by categorizing smokers by interest level in cessation counseling, we emerge with three distinct portraits of smokers who might be activated in different ways to increase consumer demand for cessation counseling.     

Socially cued smoking in bars,nightclubs, and gaming venues: a case for introducing smoke-free policies

OBJECTIVE: To assess smokers' perceived effects of smoking bans in bars, nightclubs, and gaming venues on their smoking behaviour. DESIGN: Cross sectional structured interview telephone survey of a random sample of smokers. SETTING: Population survey in Victoria, Australia. PARTICIPANTS: The sample comprised 597 smokers and analyses were conducted on 409 smokers who reported patronising bars, nightclubs or gaming venues at least monthly. OUTCOME MEASURES: Two outcomes studied were socially cued smoking and readiness to quit as a result of restrictions on smoking in social venues. Respondents were identified as socially cued smokers if they reported attending bars, nightclubs or gaming venues at least monthly and said that they smoke more in these venues. The potential influence of bans in social venues on readiness to quit was measured by asking respondents if they would be more or less likely to quit smoking if smoking were banned in hotels, licensed bars, gaming venues, and nightclubs. RESULTS: Of all adult smokers, 69% attended bars, nightclubs or gaming venues at least monthly. Of these smokers, 70% reported smoking more in these settings (socially cued smokers) and 25% indicated they would be likely to quit if smoking were banned in social venues. Compared to smokers not likely to quit if there were bans, smokers likely to quit were more likely to be socially cued (odds ratio (OR) 2.64), to be contemplating or preparing to quit (OR 2.22), to approve of bans in social venues (OR 2.44), and to be aged under 30 years (OR 1.73). Compared with smokers not socially cued, socially cued smokers were more likely to be under the age of 30 years (OR 6.15), more likely to believe that there is a safe level of cigarette consumption (OR 2.25), and more likely to have previously made a quit attempt (OR 2.60). CONCLUSIONS: These findings suggest that bans on smoking in bars, nightclubs, and gaming venues could reduce cigarette consumption and increase quitting among smokers who frequently patronise these settings. These beneficial effects are likely to be strongest among younger smokers.     

Older versus younger treatment-seeking smokers: differences in smoking behavior, drug and alcohol use, and psychosocial and physical functioning

Quitting smoking benefits older individuals, yet few recent studies have described older smokers. The goal of this paper was to test a series of hypotheses about differences between smokers aged 50 years or older (50+) and those younger than age 50 (<50) presenting to the same treatment facility during 2002-2004 for participation in two randomized clinical trials: one exclusively for smokers aged 50+, and a second open to smokers aged 18 or older. As predicted, smokers aged 50+ were more tobacco dependent, had better psychological functioning, and had poorer physical functioning than those aged <50. Contrary to predictions, we found no differences in motivation to quit cigarette smoking or in alcohol use. Women aged 50+ were less likely to report marijuana use than women aged <50, and less likely than men to receive a positive diagnosis for alcohol abuse. Despite higher scores on measures of tobacco dependence, older smokers were less likely to be diagnosed as tobacco dependent or as having tobacco withdrawal using DSM-IV criteria. Rates of DSM-IV alcohol abuse and dependence were high in both age groups but were higher for smokers aged <50. We found no striking differences between studies in reasons for exclusion, but in both the proportion of individuals excluded due to current antidepressant use was high. Implications for the assessment and treatment of older adults are discussed.     

Peer and parental influences on longitudinal trajectories of smoking among African Americans and Puerto Ricans.

The purpose of this study was to identify distinct trajectories of smoking behavior during a period extending from adolescence (mean age = 14 years) to young adulthood (mean age = 26 years) among African American and Puerto Rican adolescents/young adults, to examine ethnic and gender differences in group membership, and to assess the ability of peer and parental smoking to distinguish among trajectory groups. A community-based sample of 451 African American and Puerto Rican adolescents was interviewed four times during adolescence and in early adulthood, covering a span of 12 years. For both ethnic/racial groups, four distinct trajectories were identified: Nonsmokers, maturing-out smokers, late-starting smokers, and early-starting continuous smokers. Compared with Puerto Ricans, African Americans were over-represented in the nonsmoking group, whereas Puerto Ricans were over-represented in the early-starting continuous group. Females were more likely than males to be early-starting continuous smokers than late starters. Adolescents who were exposed to peer and parental smoking in early adolescence were more likely to belong to trajectory groups characterized by higher levels of smoking. These findings show that exposure to peer and parental smoking in early adolescence constitutes a risk factor for engaging in elevated levels of smoking behavior at an early age and for continued smoking into adulthood for urban African Americans and Puerto Ricans. To be most effective, smoking prevention programs should address peer group and family influences on adolescent smoking.     

Sociodemographic, insurance, and risk profiles of maternal smokers post the 1990s: how can we reach them?

Declines in prenatal smoking rates have changed the composition of maternal smokers while public policy during the 1990s has likely made it more difficult to reach them. Medicaid expansions during the 1980s/early 1990s insured more women some time during pregnancy, but the 1996 welfare reform unexpectedly reduced enrollment in Medicaid by eligible pregnant women; overall, insurance coverage has declined since 2000. As the public sector struggles with fewer resources, it is important to understand the sociodemographic characteristics of prenatal smokers, their patterns of care, and nonsmoking risk behaviors. Targeting scarce dollars to certain settings or sub-populations can strengthen the infrastructure for tobacco policy change. We provide more current information on maternal smokers in 2002 based on the Pregnancy Risk Assessment Monitoring System (PRAMS) for 21 states. Data on urban/rural location, insurance coverage, access patterns, and nonsmoking risk behaviors (e.g., abuse) among low-income (<16,000) and other maternal smokers are included. Low-income maternal smokers are the working poor living in predominately urban areas with fewer health care resources than low-income nonsmokers. Over 50% of low-income maternal smokers are uninsured pre-pregnancy and use a clinic as their usual source of care. Regardless of income, smokers exhibit rates of nonsmoking risks that are two to three times those of nonsmokers and high rates of unintended pregnancy (68%) of low-income smokers. These characteristics likely call for a bundle of social support services beyond cessation for smokers to quit and remain smoke-free postpartum.     

Characteristics of low-level smokers.

Average daily cigarette consumption has decreased, and some evidence suggests that the rate of "some day" smoking has increased; however, relatively little is known about low-level smokers. The present analysis describes and compares low-level versus heavier smokers, using cross-sectional and longitudinal data. Data from the Community Intervention Trial for Smoking Cessation (COMMIT) were used in this analysis. Population-based cross-sectional tobacco use telephone surveys were performed in 22 North American communities in 1988 and 1993, and the prevalence and characteristics of low-level smoking and reasons for quitting are reported from the 1993 prevalence survey. In addition, a cohort of 6,603 smokers was identified in 1988 and interviewed again in 1993 and 2001 to assess patterns of low-level smoking over time and its association with smoking cessation. In 1988, 7.6% were low-level smokers; in 1993, 10.7% were low-level smokers. Compared with heavier smokers, low-level smokers were more likely to be female, older, not married, Black or Hispanic; to have a 4-year college degree; to have no other adult smokers in the household; and to wait longer in the day to have their first cigarette. Low-level smokers also were less likely to report trying to quit because of the expense of smoking or physician advice to quit. They were more likely to try to quit because of trying to set a good example; concern for second-hand smoke; and factors such as bad breath, smell, or the taste of smoking. Those who smoked full-priced premium brands and who worked in a completely smoke-free worksite were more likely to be low-level smokers. Compared with heavier smokers, low-level smokers had similar rates of making a future quit attempt, lower use rates of nicotine replacement therapy, and higher cessation rates. Low-level smokers may be a growing segment of the smoker population and have different characteristics, health risks, and intervention needs compared with their heavier smoking counterparts.     

Cigarette smoking patterns among young adults aged 18-24 years in the United States.

Most tobacco control programs focus on prevention for children or cessation for adults. Little is known about cigarette smoking among young adults. This study examined sociodemographic variables associated with current, daily, heavy, and light smoking among young adults in the United States. Data from the 1998-1999 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) were used to examine cigarette smoking patterns and correlates of smoking among 15,371 young adults aged 18-24 years. We found that 26% of young adults were current smokers, 20% were daily smokers, and 8% were former smokers. Current smoking rates were higher among American Indians/Alaska Natives (33%) and Whites (31%) than among other racial/ethnic groups. Compared with white-collar workers, blue-collar and service workers were more likely to report current and daily smoking. Blue-collar workers also were more likely to report heavy smoking (OR = 1.97). The unemployed (those in the labor force but not currently working) and those reporting an annual household income of less than US$20,000 were more likely to report current, daily, and heavy smoking, compared with those not in the labor force and those reporting an annual household income of $20,000 or more, respectively. Young adults not currently enrolled in school were more than twice as likely to report current (OR = 2.36) and daily (OR = 2.90) smoking, compared with those currently enrolled in school. Differential cigarette smoking patterns by race/ethnicity, occupation, employment status, household income, and school enrollment status should be considered when developing interventions to reduce smoking among young adults.     

Personality and smoking status: a longitudinal analysis.

We attempted to clarify the strength and nature of the association between personality and smoking status in early and middle adulthood, using a longitudinal study design. Data from the Medical Research Council National Survey of Health and Development, based on a stratified sample of all single, legitimate births occurring in England, Wales, and Scotland in one week of March 1946 (N = 5,362), were analyzed using generalized estimating equations methods to account for the correlation between the smoking status variables for the same individual over time. The unadjusted estimates indicated that the odds of being a current smoker increased with higher personality score for both extraversion (p<.0001) and neuroticism (p<.0001) traits. Sex was significantly associated with being a current smoker (p<.0001), with males more likely than females to be current smokers. Current smoking decreased with increasing age (p<.0001). These relationships were maintained in the fully adjusted model. These data indicate that both higher levels of extraversion and higher levels of neuroticism, as measured at age 16, are independently associated with an increased likelihood of subsequently being a current smoker rather than a nonsmoker at all time points, although the observed effect sizes were small. Males also were more likely than females to be current smokers, and increasing age reduced the likelihood of being a current smoker, which is consistent with an attempt by a subset of smokers in the cohort to subsequently stop smoking.     

Tobacco use and readiness to quit smoking in low-income HIV-infected persons.

The study aim was to identify covariates of smoking status and readiness to quit that encompassed key sociodemographic and health status variables, health-related quality of life, drug use and unprotected sex, and tobacco use variables in a cohort of low-income persons living with HIV. We also examined the impact of HIV diagnosis on smoking cessation. The sample (N = 428) was mostly male (59%) and Black (53%) or Hispanic (30%), and had a high school education or less (87%). Mean age was 40 years. Two-thirds of participants were current smokers, 19% former smokers, and 16% never smokers. Current smokers smoked a mean of 16 cigarettes/day for 22 years; 42% were in the precontemplation stage of readiness to quit smoking, 40% were contemplators, and 18% were in preparation. Most current smokers (81%) reported receiving medical advice to quit smoking. Multivariate logistic regression analyses indicated that current smokers, compared with former smokers, were more likely to use illicit drugs, perceive a lower health risk for continued smoking, and report less pain. Current smokers, compared with nonsmokers (former and never smokers), were more likely to report greater illicit drug use in their lifetime, current illicit drug use, and less pain. A multiple linear regression indicated that greater current illicit drug use, greater emotional distress, and a lower number of quit attempts were associated with lower stage of readiness to quit smoking. These findings confirm a high prevalence of smoking among HIV-infected persons and suggest a complex interplay among drug use, pain, and emotional distress that impact smoking status and, among smokers, readiness to quit. Tobacco control programs for HIV-infected persons should build motivation to quit smoking and address salient barriers to cessation--such as comorbid drug use, emotional distress, pain, and access to and coverage for treatment--and should educate smokers regarding the HIV-specific health benefits of cessation.     

Favourite movie stars, their tobacco use in contemporary movies, and its association with adolescent smoking

OBJECTIVE: To assess the relation between adolescents' favourite movie stars, the portrayal of tobacco use by those stars in contemporary motion pictures, and adolescent smoking. DESIGN AND SETTING: 632 students (sixth to 12th grade, ages 10-19 years) from five rural New England public schools completed a voluntary, self administered survey in October 1996. The survey assessed tobacco use, other variables associated with adolescent smoking, and favourite movie star. In addition, tobacco use by 43 selected movie stars was measured in films between 1994 and 1996. OUTCOME MEASURES: Students were categorised into an ordinal five point index (tobacco status) based on their smoking behaviour and their smoking susceptibility: non-susceptible never smokers, susceptible never smokers, non-current experimenters, current experimenters, and smokers. We determined the adjusted cumulative odds of having advanced smoking status based on the amount of on-screen tobacco use by their favourite film star. RESULTS: Of the 43 stars, 65% used tobacco at least once, and 42% portrayed smoking as an essential character trait in one or more films. Stars who smoked more than twice in a film were considered smokers. For adolescents whose favourite stars smoked in only one film, the odds of being higher on the smoking index was 0.78 (95% confidence interval (CI) 0.53 to 1.15). For adolescents whose favourite stars smoked in two films, the odds of being higher on the smoking index was 1.5 (95% CI 1.01 to 2.32). For adolescents whose favourite stars smoked in three or more films (Leonardo DiCaprio, Sharon Stone, John Travolta), the odds of being higher on the smoking index was 3.1 (95% CI 1.34 to 7.12). Among never smokers (n = 281), those who chose stars who were smokers in three or more films were much more likely to have favourable attitudes toward smoking (adjusted odds ratio 16.2, 95% CI 2.3 to 112). CONCLUSIONS: Adolescents who choose movie stars who use tobacco on-screen are significantly more likely to have an advanced smoking status and more favourable attitudes toward smoking than adolescents who choose non-smoking stars. This finding supports the proposition that the portrayal of tobacco use in contemporary motion pictures, particularly by stars who are admired by adolescents, contributes to adolescent smoking.     

Cigarette and waterpipe smoking among Lebanese adolescents, a cross-sectional study, 2003-2004.

Waterpipe or "argileh" is a form of smoking other than cigarettes that is currently spreading among people of all ages. The objective of the present study was to assess tobacco smoking practices (waterpipe and/or cigarette) among public and private adolescent school students in Beirut, Lebanon. A sample of 2,443 students selected from 10 private and 3 public schools with intermediate/secondary classes filled out a self-administered anonymous questionnaire that inquired about sociodemographic characteristics, and behavior about tobacco smoking. Binary analysis was performed as well as three regression models for the relationship between exclusive cigarettes smoking, exclusive waterpipe smoking and both cigarettes and waterpipe as the dependent variables and gender, type of school, and class as the independent variables. The current prevalence of cigarettes smoking was 11.4%, and that of waterpipe smoking was 29.6%. Gender was significantly associated with cigarettes (OR=3.2, 95% CI 1.8-5.6) but not waterpipe smoking. Public school students were, respectively, 3.2 (95% CI 1.8-5.6) and 1.7 (95% CI 1.4-2.1) times more likely to be exclusive cigarettes smokers, and exclusive waterpipe smokers. Class was not significantly associated with exclusive cigarette smoking; however, students attending secondary classes were 1.3 (95% CI 1.1-1.6) times more likely to be exclusive waterpipe smokers. The reasons behind the high prevalence of both types of smoking are presented and discussed. The present study calls for school-based prevention programs and other types of interventions such as tax increases, and age-restrictions on tobacco sales. More aggressive interventions to disseminate education and awareness among parents and students altogether are warranted.     

Smoking practices, risk perception of smoking, and environmental tobacco smoke exposure among 6th-grade students in Ciudad Juárez, Mexico.

This study assessed the smoking practices, risk perception of smoking, and environmental tobacco smoke (ETS) exposure among adolescents in Ciudad Juárez, Mexico. We used a cross-sectional method to examine the smoking practices, risk perception of smoking, and ETS exposure of 6th-grade students (N=506), aged 11-13 years, attending six randomly selected middle schools. Schools were classified by school setting (i.e., public vs. private) and socioeconomic status (SES; i.e., low, middle, or high). The results indicated that 6th-grade students attending a public, low-SES school setting in Ciudad Juárez not only exhibited significantly higher rates of ETS exposure at home and in public places (p<.01) but also were more likely to have tried smoking (p<.01) and to be current smokers (p<.01), and were less likely to support a ban on smoking in public places (p<.01), compared with students who attended a private school or a public, middle- or high-SES school setting. These results provide further evidence that public health interventions to prevent initiation of smoking and to assist in smoking cessation among adolescents and to reduce their ETS exposure at home and in public need to target all school-aged students, especially those attending school in a low-SES settings.     

Adoption, reach, and implementation of a novel smoking control program: analysis of a public utility-research organization partnership.

Interventions to reach and assist smokers and families of smokers have generally reached a plateau in terms of participation and success rates. This study reports on recruitment and implementation issues involved in a novel partnership with public utilities. The goal of the project is to use information on the synergistic risks of smoking and home radon exposure to motivate and assist smoking families to create smoke-free homes or to stop smoking. We report on recruitment, participation rates, and representativeness at both the utility and the individual or family level. This project recruited 55% of utilities approached and an estimated 11% of smoking families served by these utilities. Lessons learned for recruitment and implementation activities are discussed, and recommendations are made for the conduct and evaluation of future programs using innovative partnerships with public and population-based organizations to reach smokers and reduce exposure to environmental tobacco smoke.     

What fraction of young adults are at risk for future smoking, and who are they?

Recent evidence indicates that higher smoking rates among young adults in the United States may be related in part to increased initiation during young adulthood. The tobacco industry, restricted from overtly targeting adolescents, appears to be focusing on young adults. Thus it is important to estimate the percentage and identify the characteristics of the young adult population (aged 18-29 years) at risk for future smoking. This group would include all current established smokers (smoked at least 100 cigarettes in their lifetime), current experimenters, former established smokers, and former experimenters at risk for smoking again, as well as never-smokers who do not rule out future smoking. Using data from the population-based 2002 California Tobacco Survey (N = 9,364 young adults aged 18-29 years), we designated groups of young adults at risk and identified factors associated with risk. Altogether, 86.7+/-1.5% of current and former established smokers were at risk for future smoking, and 59.6+/-4.3% of former established smokers were at risk. Over half (52.2+/-2.0%) of all experimenters but only 9.0+/-1.2% of never-smokers were at risk. Overall, 43.0+/-1.2% of the young adult population was at risk. Although different demographic and other factors were associated with risk among former established smokers, experimenters, and never-smokers, three factors were consistently associated in each group: Younger age, not having a smoke-free home, and going to bars and clubs. We conclude that the group of young adults at risk for future smoking is sizable and presents a fertile target for tobacco industry efforts to promote smoking. Counter-efforts might include promotion of smoke-free environments.