Passive smoking as well as active smoking increases the risk of acute stroke

OBJECTIVE: To estimate the relative risk of stroke associated with exposure to environmental tobacco smoke (ETS, passive smoking) and to estimate the risk of stroke associated with current smoking (active smoking) using the traditional baseline group (never-smokers) and a baseline group that includes lifelong non-smokers and long-term (> 10 years) ex-smokers who have not been exposed to ETS. DESIGN AND SETTING: Population-based case-control study in residents of Auckland, New Zealand. SUBJECTS: Cases were obtained from the Auckland stroke study, a population-based register of acute stroke. Controls were obtained from a cross-sectional survery of major cardiovascular risk factors measured in the same population. A standard questionnaire was administered to patients and controls by trained nurse interviewers. RESULTS: Information was available for 521 patients with first-ever acute stroke and 1851 community controls aged 35-74 years. After adjusting for potential confounders (age, sex, history of hypertension, heart disease, and diabetes) using logistic regression, exposure to ETS among non-smokers and long-term ex-smokers was associated with a significantly increased risk of stroke (odds ratio (OR) = 1.82; 95% confidence interval (95% CI) = 1.34 to 2.49). The risk was significant in men (OR = 2.10; 95% CI = 1.33 to 3.32) and women (OR = 1.66; 95% CI = 1.07 to 2.57). Active smokers had a fourfold risk of stroke compared with people who reported they had never smoked cigarettes (OR = 4.14; 95% CI = 3.04 to 5.63); the risk increased when active smokers were compared with people who had never smoked or had quit smoking more than 10 years earlier and who were not exposed to ETS (OR = 6.33; 95% CI = 4.50 to 8.91). CONCLUSIONS: This study is one of the few to investigate the association between passive smoking and the risk of acute stroke. We found a significantly increased risk of stroke in men and in women. This study also confirms the higher risk of stroke in men and women who smoke cigarettes compared with non-smokers. The stroke risk increases further when those who have been exposed to ETS are excluded from the non-smoking reference group. These findings also suggest that studies investigating the adverse effects of smoking will underestimate the risk if exposure to ETS is not taken into account.     

Validity of self-reported smoking status: Comparison of patients admitted to hospital with acute coronary syndrome and the general population

Many studies rely on self-reported smoking status. We hypothesized that patients with acute coronary syndrome (ACS), a smoking-related condition, would be more prone to misclassify themselves as ex-smokers, because of pressure to quit. We compared patients admitted with ACS with a general population survey conducted in the same country at a similar time. We determined whether ACS patients who classified themselves as ex-smokers (n = 635) were more likely to have cotinine levels suggestive of smoking deception than self-reported ex-smokers in the general population (n = 289). On univariate analysis, the percentage of smoking deceivers was similar among ACS patients and the general population (11% vs. 12%, p = .530). Following adjustment for age, sex and exposure to environmental tobacco smoke, ACS patients were significantly more likely to misclassify themselves (adjusted OR = 14.06, 95% CI 2.13-93.01, p = .006). There was an interaction with age whereby the probability of misclassification fell significantly with increasing age in the ACS group (adjusted OR = 0.95, 95% CI 0.93-0.97, p<.001), but not in the general population. Overall, smoking deception was more common among ACS patients than the general population. Studies comparing patients with cardiovascular disease and healthy individuals risk introducing bias if they rely solely on self-reported smoking status. Biochemical confirmation should be undertaken in such studies.     

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.     

Lung cancer, tobacco, and environmental factors in the African population of the Northern Province, South Africa

DESIGN: Case-control study among incident African patients with cancer. Questionnaire assessment of exposure to tobacco, occupation, and place of birth. SETTING: Northern Province, South Africa. SUBJECTS: Between 1993 and 1995, 288 men and 60 women with lung cancer and 183 male and 197 female controls (consisting of patients newly diagnosed with cancers other than those known to be associated with smoking) were interviewed. Unmatched, unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) of developing lung cancer in relation to a number of variables. MAIN OUTCOME MEASURE: Risk of developing lung cancer related to exposure to tobacco, indoor pollution, dusty work environment, and residential exposure to asbestos. RESULTS: There was a significant increase in the risk of developing lung cancer through smoking. In men, the ORs were 2.2 (95% CI = 1.0 to 4. 6) in ex-smokers, 9.8 (95% CI = 5.9 to 16.4) in light smokers (0-14 g/day), and 12.0 (95% CI = 6.5 to 22.3) in heavy smokers. In women, the ORs were 5.8 (95% CI = 1.3 to 25.8) in ex-smokers and 5.5 (95% CI = 2.6 to 11.3) in current smokers. Work in a dusty industry showed an elevated risk (OR = 3.2, 95% CI = 1.8 to 5.8) for lung cancer only in men. Male residents of areas where asbestos was shipped for distribution (termed moderately polluted asbestos areas) had a 2.5-fold increase (95% CI = 1.0 to 4.4) in the risk (OR) of developing lung cancer, and residents of areas where asbestos was mined (termed heavily polluted asbestos areas) had a 2.8-fold increase in risk (95% CI = 0.7 to 10.4). Female residents of heavily polluted asbestos areas showed elevated risks of 5.4 (95% CI = 1.3 to 22.5) of developing lung cancer. CONCLUSION: The data suggest that tobacco smoking is the most important risk factor for the development of lung cancer in this setting. Risks for lung cancer are reminiscent of those observed in Western countries in the 1960s and 1970s. However, environmental exposure to asbestos, a dusty occupation (in men), and perhaps indoor air pollution may also contribute to the development of lung cancer in this province.     

A randomized controlled clinical trial of bupropion SR and individual smoking cessation counseling.

Efficacy of bupropion SR and individual counseling as smoking cessation treatments was assessed in a randomized, placebo-controlled clinical trial among adult daily smokers. Bupropion SR treatment and counseling were fully crossed in this factorial design so that the efficacy of each treatment and the combination could be estimated, relative to a placebo medication and assessment control condition. Intent-to-treat analyses indicated that bupropion SR increased abstinence rates at the end of treatment, relative to the placebo medication conditions, for both biochemically confirmed 7-day point-prevalence abstinence (OR = 1.97, 95% CI 1.04-3.72) and self-reported prolonged abstinence (OR = 2.90, 95% CI 1.66-5.06). Bupropion SR treatment also improved latency to lapse and relapse and improved the latency between lapse and relapse in survival analyses. Medication effects were more modest for both 12-month point-prevalence abstinence (OR = 1.47, 95% CI 0.74-2.92) and prolonged abstinence (OR = 1.34, 95% CI 0.66-2.72). Counseling was not associated with increases in the likelihood of abstinence at any time point (odds ratios ranged from 0.80 to 1.16 across abstinence outcomes in the full intent-to-treat sample). Counseling and medication did not significantly interact at any time point, and adding counseling did not improve end-of-treatment point-prevalence abstinence (OR = 1.17, 95% CI 0.68-2.03) or prolonged abstinence (OR = 1.26, 95% CI 0.75-2.12) substantially when offered in conjunction with active medication.     

Is concern about post-cessation weight gain a barrier to smoking cessation among pregnant women?

Women who quit smoking during pregnancy gain more weight than women who continue to smoke. Concern about weight gain is a barrier to smoking cessation in the general population, but whether attitudes about weight are associated with failure to stop smoking during pregnancy or to maintain abstinence postpartum is unknown. Thus, attitudes about weight were assessed in 412 pregnant smokers recruited from obstetric practices in Massachusetts for a smoking cessation intervention trial. Smoking cessation outcomes (7-day point-prevalence abstinence by self-report and by cotinine-validation) were assessed at end-of-pregnancy and 3 months postpartum. Bivariate and multivariable analyses assessed the relationship between attitudes about weight and smoking cessation. In bivariate analyses, a high level of concern about post-cessation weight gain was associated with older age (p = .01), smoking more cigarettes/day (p<.001), not making a quit attempt in pregnancy (p = .02), being less likely to self-report tobacco abstinence at end of pregnancy (p = .01) and postpartum (p = .02), and having less cotinine-validated abstinence at 3 months postpartum (p = .05). In multivariable analyses that adjusted for cigarettes/day, a low level of concern about post-cessation weight gain was associated with more self-reported abstinence at end-of-pregnancy (OR = 1.77, 95% CI 1.01-3.09) and postpartum (OR = 2.09, 95% CI 1.05-4.14), but not with cotinine-validated abstinence at end-of-pregnancy (OR = 1.30, 95% CI 0.63-2.68) or postpartum (OR = 2.18, 95% CI 0.93-5.10). In conclusion, women who are more concerned about post-cessation weight gain may be less likely to quit smoking during pregnancy or remain abstinent in the postpartum period.     

Association of serotonin transporter genotype with selective processing of smoking-related stimuli in current smokers and ex-smokers.

We sought to determine whether polymorphism in the serotonin transporter (5HTT) gene is associated with attentional bias toward smoking-related stimuli in current smokers and ex-smokers, using a modified Stroop task and an attentional blink task to measure selective processing of smoking-related stimuli. All participants attended a single testing session during which they completed the modified Stroop and attentional blink tasks to index attentional bias for smoking-related stimuli, in counterbalanced order. The experimental design included two between-subjects factors of smoking status (current smoker, ex-smoker) and 5HTT genotype (short, long). Smoking status x genotype interactions were significant on both the modified Stroop (p = .046) and the attentional blink (p = .006) tasks. On the modified Stroop task, we found a significant effect of 5HTT genotype on color-naming interference among ex-smokers (p = .018) but not current smokers (p = .989). On the attentional blink task, we found a significant effect of 5HTT genotype for current smokers (p = .028), whereas among ex-smokers this effect did not reach statistical significance, although it constituted a trend (p = .086). Our data provide tentative support for a moderating influence of 5HTT genotype on attentional bias for smoking-related stimuli in ex-smokers. This finding may account for inconsistent reports of attentional bias among ex-smokers.     

The effects of household and workplace smoking restrictions on quitting behaviours

OBJECTIVE: To assess the association of household and workplace smoking restrictions with quit attempts, six month cessation, and light smoking. DESIGN: Logistic regressions identified the association of household and workplace smoking restrictions with attempts to quit, six month cessation, and light smoking. SETTING: Large population surveys, United States. SUBJECTS: Respondents (n = 48,584) smoked during the year before interview in 1992-1993, lived with at least one other person, and were either current daily smokers or were former smokers when interviewed. MAIN OUTCOME MEASURES: The outcome measures were an attempt to quit during the last 12 months, cessation for at least six months among those who made an attempt to quit, and light smoking (< 15 cigarettes a day). RESULTS: Smokers who lived (odds ratio (OR) = 3.86; 95% confidence interval (CI) = 3.57 to 4.18) or worked (OR = 1.14; 95% CI = 1.05 to 1.24) under a total smoking ban were more likely to report a quit attempt in the previous year. Among those who made an attempt, those who lived (OR = 1.65, 95% CI = 1.43 to 1.91) or worked (OR = 1.21, 95% CI = 1.003 to 1.45) under a total smoking ban were more likely to be in cessation for at least six months. Current daily smokers who lived (OR = 2.73, 95% CI = 2.46 to 3.04) or worked (OR = 1.53, 95% CI = 1.38 to 1.70) under a total smoking ban were more likely to be light smokers. CONCLUSIONS: Both workplace and household smoking restrictions were associated with higher rates of cessation attempts, lower rates of relapse in smokers who attempt to quit, and higher rates of light smoking among current daily smokers.     

Sex differences in long-term smoking cessation rates due to nicotine patch

Compared to men, women may be at greater risk for smoking-related diseases and have greater difficulty quitting smoking. Sex differences in medication response could guide treatment for smoking cessation to improve women's quit rates. We conducted a meta-analysis of the 14 placebo-controlled nicotine patch trials (N = 6,250) for which long-term (6 months) clinical outcome results could be determined separately by sex. This analysis updated a meta-analysis of 11 of these trials that found no significant sex differences due to nicotine patch. The increase in quitting due to the nicotine vs. placebo patch was only about half as large in women as in men. Pooled absolute quit rates at 6 months for nicotine and placebo patch, respectively, were 20.1% and 10.8% in men, and 14.7% and 10.1% in women. The odds ratio for quitting due to nicotine vs. placebo patch was lower in women (OR = 1.61) than in men (OR = 2.20), with an interaction odds ratio of 1.40 (95% CI = 1.02-1.93, p = .04). This sex difference did not vary significantly by whether or not formal counseling was provided. Poorer outcomes in women vs. men treated with nicotine patch suggests that increasing the quit rates of women smokers may require supplementing patch treatment or use of other medications.     

Smoking behaviour and attitudes among adult Saudi nationals in Riyadh City, Saudi Arabia

OBJECTIVE: To measure the smoking behaviour and attitudes among Saudi adults residing in Riyadh City, the capital of the Kingdom of Saudi Arabia. DESIGN: Cross-sectional survey. SETTING AND SUBJECTS: Primary health care centres (PHCCs) in Riyadh City were selected by stratified random sampling. Subjects resident in each PHCC catchment area were selected by systematic sampling from their records in the PHCCs; 1534 adults aged 15 years and older were interviewed during January to April 1994. MAIN OUTCOME MEASURES: Self-reported smoking prevalence; age of smoking initiation; daily cigarette consumption; duration of smoking; reasons for smoking, not smoking, and quitting smoking; intentions to smoke in the future; and attitudes toward various tobacco control measures. RESULTS: 25.3% of respondents were current smokers, 10.2% were ex-smokers, and 64.5% had never smoked. About 79% of all smokers started smoking between the ages of 15 and 30 years, and 19.5% before age 15. Significantly higher smoking prevalence and daily cigarette consumption were associated with being male, single, and being more highly educated. Relief of psychological tension, boredom, and imitating others were the most important reasons for smoking, whereas health and religious considerations were the most important reasons for not smoking among never-smokers, for quitting among ex-smokers, and for attempting to quit or thinking about quitting among current smokers. About 90% of all subjects thought that they would not smoke in the future. Physicians and religious men were identified as the most effective anti-smoking advocates by a much higher proportion of respondents (44%) than nurses, health educators, and teachers (each less than 5%). Health and religious education were generally cited as more effective in deterring smoking than tobacco control laws and policies. CONCLUSIONS: Cigarette smoking is prevalent among Saudi adults in Riyadh, particularly males, most of whom begin to smoke rather early in life and continue for many years. Health and religious education should be the cornerstone for any organised tobacco control activities, which are urgently needed to combat the expected future epidemic of smoking-related health problems.




     

The impact of carotid plaque screening on motivation for smoking cessation.

Showing smokers their own atherosclerotic plaques might increase motivation for smoking cessation, since they underestimate their own risk for smoking-related diseases. To assess the feasibility and optimal processes of studying the impact of carotid atherosclerotic plaque screening in smokers, we enrolled 30 daily cigarette smokers, aged 40-70 years, in an observational pre-post pilot study. All smokers underwent smoking cessation counseling, nicotine replacement therapy, a carotid ultrasound, an educational tutorial on atherosclerosis, baseline and 2-month motivation to change assessment, and assessment of smoking cessation at 2 months. Participants had a mean smoking duration of 34 years (SD = 7). Carotid plaques were present in 22 smokers (73%). Between baseline and 2 months after plaque screening, motivation for smoking cessation increased from 7.4 to 8.4 out of 10 (p = .02), particularly in those with plaques (7.2 to 8.7, p = .008). At 2 months, the smoking quit rate was 63%, with a quit rate of 73% in those with plaques vs. 38% in those without plaques (p = .10). Perceived stress, anxiety, and depression did not increase after screening. 96% of respondents answered correctly at least 80% of questions regarding atherosclerosis knowledge at baseline and after 2 months. In conclusion, studying the process of screening for carotid plaques for the purpose of increasing motivation for smoking cessation, in addition to counseling and drug therapy for smoking cessation in long-term smokers, appears feasible. The impact of carotid plaque screening on smoking cessation should be examined in larger randomized controlled trials with sufficient power to assess the impact on long-term smoking cessation rates.     

Understanding tobacco use among Filipino American men.

Although lung cancer is the top cancer killer among Filipino American men, data on tobacco-related knowledge and attitudes, cessation efforts, and preferences for smoking cessation programs among this population are lacking. We interviewed a community sample of 318 Filipino American men (110 current, 108 former, and 100 never-smokers, all immigrants) aged 40-75 years in Los Angeles County in English and Tagalog, to gain a better understanding of their tobacco use as a first step toward developing a culturally tailored smoking cessation program. In our sample, smokers had lower levels of education and income compared with nonsmokers and were less acculturated based on language use and English fluency. Smokers were more likely than nonsmokers to agree that smoking can alleviate stress, depression, and boredom, and that it is part of social interactions, growing up, being a man, and looking mature. These beliefs were summarized in a Smoking Beliefs Scale (Cronbach's alpha = .84), which predicted current smoking in a multivariate analysis, together with perceived risk of getting smoking-related diseases and peer norms. The most preferred smoking cessation intervention formats were educational small group sessions with other Filipino men (32%), followed by one-on-one consultations by a health professional (26%), video (20%), pamphlet (17%), and toll-free telephone number (6%). More than half of the current smokers requested these smoking cessation activities in Tagalog (34%) or a combination of Tagalog and English (24%). Based on these findings, we make specific recommendations for a smoking cessation program for Filipino men.     

Sociodemographic predictors of success in smoking intervention

AIM: To examine the role of sociodemographic factors as predictors of sustained smoking cessation for the population who volunteer to participate in intervention programmes. METHOD: Data for the 3575 smokers who participated in the CEASE (collaborative European anti-smoking evaluation) trial, a European multicentred study that used transdermal nicotine patches as an adjunct to smoking cessation in the chest clinic, were analysed. The effects of age, sex, smoking habit, socioeconomic status (housing conditions, education, and employment), disease, smoking habits of relatives, and baseline markers of tobacco use on sustained smoking cessation (self-reported abstinence and expired carbon monoxide < 10 parts per million) were assessed using logistic regression modelling (odds ratio (OR), 95% confidence interval (CI)). RESULTS: 477/3575 smokers were sustained abstainers one year after the intervention (overall success rate 13.3%). In the univariable logistic regression models an effect of active treatment on smoking cessation was observed (OR 1.50, 95% CI 1.15 to 1.96), and additional effects on outcome were found for age (OR 1.02, 95% CI 1.01 to 1.03), sex (men v women: OR 1.38, 95% CI 1.14 to 1.68), housing conditions (OR 1.43, 95% CI 1.25 to 1.65), current respiratory (OR 0.79, 95% CI 0.67 to 0.92) or cardiac disease (OR 0.46, 95% CI 0.28 to 0.75), and markers of tobacco use (cigarettes per day: OR 0.79, 95% CI 0.69 to 0.90; expired carbon monoxide: OR 0.98, 95% CI 0.97 to 0.99). Education and employment did not have a significant effect on the outcome. The effect of the variables associated with success in smoking cessation persisted after adjustment for covariates. CONCLUSION: Age, sex, and housing conditions have a major effect on smoking cessation in European smokers participating in smoking cessation programmes.     

Smoking cessation by socioeconomic status and marital status: the contribution of smoking behavior and family background.

We studied socioeconomic status and marital status as predictors of smoking cessation, adjusting for previous smoking behavior and family background by using a large Finnish prospective twin dataset unselected for smoking behavior. The data were collected by postal surveys in 1981 and 1990, and the sample comprised 3,069 current smokers, of whom 20% had quit smoking by 1990. Logistic regression analyses of all twin individuals and conditional logistic regression analysis of discordant pairs were used to predict smoking cessation. High education predicted smoking cessation among both men (OR=2.32, 95% CI=1.31-4.10) and women (OR=3.98, 95% CI=1.85-8.51) as did high social class among women. Additionally, starting at a late age, smoking a small number of cigarettes per day, and a low level of nicotine per cigarette predicted cessation. Socioeconomic differences in cessation diminished only slightly when we adjusted for smoking behavior factors. Among the twin pairs who were discordant in terms of smoking cessation, the twin who continued smoking also smoked more on average at baseline (men: OR=.94, 95% CI=.89-.99; women: OR=.82, 95% CI=.71-.94). The male twins who continued smoking had a smaller probability of getting married during the follow-up than had the cotwin who had quit smoking (OR=3.91, 95% CI=1.02-15.02). Indicators of socioeconomic status were important predictors of smoking cessation even when we adjusted for previous smoking behavior. For men, marriage was associated with an increased probability of cessation     

Impact of a telephone helpline for smokers who called during a mass media campaign

OBJECTIVE: To evaluate the impact of a telephone helpline (Quitline) with additional support (written information) on callers who use the service during a mass media campaign. DESIGN: Telephone recall surveys of callers to the helpline carried out two months and one year after their initial call. SETTING: Telephone helpline. SUBJECTS: Callers to the helpline. MAIN OUTCOME MEASURES: Smoking behaviour change among callers to the helpline at two months and one year. RESULTS: At one year 22% (95% confidence interval (CI) 18.4% to 25.6%) of smokers reported that they had stopped smoking. Assuming that those who refuse to take part in the one year follow up are continuing smokers and a further 20% of reported successes fail biochemical validation, this yields an adjusted quit rate of 15. 6% (95% CI 12.7% to 18.9%) at one year. Among ex-smokers, 41% (95% CI 34.3% to 47.7%) reported that they were still not smoking at one year. The adjusted figure for ex-smokers at one year is 29% (95% CI 23.3% to 34.8%). Of those who resumed smoking 28% were smoking less than they had been initially. Currently Quitline receives around half a million calls in the course of one year, 93% of whom are phoning for themselves. This represents 4.2% of the total population of adults smokers in England. CONCLUSION: The Health Education Authority's advertising campaign was extremely successful in generating calls to the helpline. Very large numbers of smokers from diverse backgrounds, including the key groups highlighted in the UK government's recent proposals on tobacco, called the Quitline, which appeared to be very successful in helping these callers to stop smoking. For a single intervention to reach 4.2% of the total population of adult smokers in England is a major achievement. This makes Quitline a very promising model for public health intervention programs.     

Bupropion efficacy for smoking cessation is influenced by the DRD2 Taq1A polymorphism: analysis of pooled data from two clinical trials.

We analyzed pooled data from two comparable randomized placebo-controlled clinical trials of bupropion pharmacotherapy for smoking cessation for which data on DRD2 Taq1A genotype were available. A total of 722 smokers across the two trials were randomized to 10 weeks of sustained-release bupropion hydrochloride or placebo. General estimating equation analysis demonstrated a significant gene x drug interaction (B = 0.87, SE = 0.34, p = .009). Smokers with the A2/A2 genotype using bupropion were more than three times as likely, relative to placebo, to be abstinent at end of treatment (35.2% vs. 15.1%; OR = 3.25, 95% CI 2.00-5.28) and at 6 months of follow-up (26.7% vs. 12.2%; OR = 2.81, 95% CI 1.66-4.77), which was attenuated by 12 months (16.3% vs. 10.7%; OR = 1.70, 95% CI 0.95-3.05). We found no significant benefit of bupropion relative to placebo on smoking cessation outcomes at any time point in participants with A1/A1 or A1/A2 genotypes. These data suggest that bupropion may be effective for smoking cessation only in a subgroup of smokers with the DRD2 Taq1 A2/A2 genotype.     

Cigarette smoking and quitting behaviors among unemployed adults in the United States.

Little is known about factors associated with smoking among the unemployed. This study estimated the prevalence of smoking and examined sociodemographic factors associated with current, former, and successful quitting among unemployed adults aged 18-64. Cross-sectional data on 13,480 participants in the 1998-1999 and 2001-2002 Tobacco Use Supplements to the Current Population Surveys were analyzed. Multivariate logistic regression analyses were used to examine factors associated with study outcomes (current vs. never, former vs. current, successful quitter vs. other former smoker). Among the unemployed, 35% were current smokers and 13% were former smokers. Of the former smokers, 81% quit successfully for at least 12 months. Participants with family incomes of less than US$25,000 were more likely than those with incomes of $50,000 or more to currently smoke (OR=2.13, 95% CI=1.85-2.46). Service workers and blue-collar workers were less likely than white-collar workers to report former smoking. Participants unemployed for 6 months or more were twice as likely as those unemployed for less than 6 months to quit successfully (OR=2.05, 95% CI=1.07-3.95). Unemployed blue-collar workers had a greater odds ratio of successfully quitting than white-collar workers (OR=1.83, 95% CI=1.17-2.87). Smoking rates were high among the unemployed, and quitting behaviors varied by sociodemographic factors and length of unemployment. Studies are needed to examine the feasibility of cessation interventions for the unemployed.     

Can anti-smoking television advertising affect smoking behaviour? Controlled trial of the Health Education Authority for England's anti-smoking TV campaign

OBJECTIVES: To evaluate the effectiveness of the Health Education Authority for England's anti-smoking television advertising campaign in motivating smokers to give up and preventing relapse in those who had already given up. DESIGN: A prospective, controlled trial was conducted in four TV regions in central and northern England. One region received no intervention (controls), two regions received TV anti-smoking advertising (TV media), and one region received TV anti-smoking advertising plus locally organised anti-tobacco campaigning (TV media + LTCN). The TV advertisements were screened in two phases over 18 months; during the first phase the intensity of the advertising was varied between TV regions. 5468 men and women (2997 smokers, 2471 ex-smokers) were selected by two stage random sampling and interviewed before the intervention, of whom 3610 were re-interviewed six months later, after the first phase of the campaign. Only those interviewed at six months were followed to the main end point at 18 months when 2381 subjects were re-interviewed. MAIN OUTCOME MEASURES: Self reports of cigarette smoking at the 18 month follow up were compared between the three levels of intervention. Odds ratios for intervention effects were adjusted for pre-intervention predictors of outcome and pooled for smokers and ex-smokers using meta-analytic methods. RESULTS: After 18 months, 9. 8% of successfully re-interviewed smokers had stopped and 4.3% of ex-smokers had relapsed. The pooled adjusted odds ratio for not smoking in the TV media only condition compared to controls was 1.53 (95% confidence intervals (CI) 1.02 to 2.29, p = 0.04), and for TV media + LTCN versus controls, 1.67 (95% CI 1.0 to 2.8, p = 0.05). There was no evidence of an extra effect of the local tobacco control network when combined with TV media (odds ratio 1.15, 95% CI 0.74 to 1.78, p = 0.55). The was also no evidence of any intervention effects after the first phase of the TV media campaign, including no effect of varying the intensity of the advertising during this initial phase. Applying these results to a typical population where 28% smoke and 28% are ex-smokers, and where there would be an equal number of quitters and relapsers over an 18 month period without the campaign, suggests that the campaign would reduce smoking prevalence by about 1.2%. CONCLUSIONS: The Health Education Authority for England's anti-smoking TV campaign was effective in reducing smoking prevalence through encouraging smokers to stop and helping prevent relapse in those who had already stopped. The lack of an effect after the first phase of the campaign indicates that if advertising at this intensity is to have an impact, a prolonged campaign is necessary. These results support the UK governments' recent decision to fund similar campaigns, and suggests that anti-smoking TV advertising should be undertaken routinely as an essential component of any population smoking reduction strategy. Reducing smoking prevalence would make a substantial contribution to achieving the UK government's target of preventing 300 000 cancer and heart disease deaths over the next 10 years.     

Is the association of smoking and depression a recent phenomenon?

Part of the hardening hypothesis to explain the persistence of smoking-despite powerful antismoking forces-links smoking with psychopathology, especially depression. It has been proposed that the association between depression and smoking has emerged in more recent cohorts as smoking rates declined, disproportionately leaving among current smokers those who found it more difficult to quit because of their psychopathology. We examined the association of regular smoking and depression in a cohort who began smoking prior to the decline in smoking rates in the United States and assessed a corollary hypothesis that smokers with depression were more likely to persist in smoking than were those without depression. Data were from the Wisconsin Longitudinal Study of a random sample of high school graduates from the class of 1957. In the 1992 follow-up, a subset of these 53-54-year-olds were assessed for lifetime and current depression and smoking (n = 4,858). A modest association between regular smoking and depression was found (OR = 1.4, 95% CI = 1.2-1.6); persistence of smoking (current smoking among ever regular smokers) was unrelated to single-episode or recurrent depression (OR = 1.1, 95% CI = 0.8-1.5). The results do not support the proposition that the association between smoking and depression emerged when smoking rates declined, or that self-medication of depression through smoking is a likely mechanism for the persistence of smoking.