Won S. Choi

Cigarette smoking predicts development of depressive symptoms among U.S. Adolescents

To examine whether adolescent cigarette smoking predicts the development of depressive symptoms, we used a longitudinal follow-up survey of 6,863 adolescents ages 12 to 18 in the U.S. who did not report notable depressive symptoms at baseline. This study used a self-report measure of six depressive symptoms experienced within the past twelve months at follow-up as the outcome of interest. Results indicated that 11.5% developed notable depressive symptoms at follow-up. There were marked gender differences with 15.3% of girls developing notable depressive symptoms compared to 8.1% of boys. Gender differences in depressive symptoms were consistent across all age groups and were apparent by the age of twelve. For both genders, smoking status was the most significant predictor of developing notable depressive symptoms. Several other risk factors including involvement in organized athletics, availability of social support, and personality characteristics were also found to be associated with development of depressive symptoms. Adolescent cigarette smoking may have marked health consequences in terms of depressive symptoms. The reduction of cigarette smoking among adolescents should be a focus of depression prevention interventions. In addition, the development of gender-specific components of prevention interventions may be warranted.

Predictors of smoking cessation in U.S. adolescents

OBJECTIVE To identify factors that predict quitting among adolescent smokers. METHODS Adolescent smokers aged 12-19 years (N = 633) from the national Teenage Attitudes and Practices Survey I (1989), were followed up in the Teenage Attitudes and Practices Survey II (1993). Multiple logistic regression was applied to identify the predictors of quitting. RESULTS A total of 15.6% of adolescent smokers had quit smoking at the follow-up survey four years later. There was no significant difference in the quit rate by age, gender, or ethnicity. Five baseline factors were identified in a multivariate analysis as significant predictors of quitting: frequency of smoking, length of past quit attempts, self-estimation of likelihood of continuing smoking, mothers smoking status, and depressive symptoms. The more risk factors the adolescents had, the less likely they would succeed in quitting. CONCLUSIONS Quitting smoking by adolescents is influenced by multiple biological, behavioral, and psychosocial variables. Identifying these variables can help tailor cessation programs to more effectively help adolescents quit smoking.

Duration of television watching is associated with increased body mass index

OBJECTIVE To assess the effect of television viewing on subsequent change in body mass index (BMI=kg/m(2)) percentiles (BMI%) in adolescence. STUDY DESIGN Data were drawn from the California Teen Longitudinal Survey of adolescents 12 to 17 years old with baseline assessment in 1993 and follow-up in 1996. Self-reported height and weight were used to calculate BMI and derive age-specific and sex-specific BMI%. Hours of television watched per day were obtained at baseline (BTV). The relations of BTV and BMI percentiles both at baseline and after 3 years were assessed with linear regression modeling. RESULTS Of 2223 adolescents (52% male, 68% white), 5.85% (n=130) were overweight (BMI > or =95th percentile) at baseline and 5.40% (n=120) at follow-up. Mean BTV was 2.85 (SD, 1.98). In adjusted models, with each additional hour of BTV, the baseline BMI% increased by.9, and the follow-up BMI% increased by.47. Adolescents who watched more than 2 hours of television a day were twice as likely to be overweight at follow-up as adolescents who watched < or =2 hours. CONCLUSIONS Television viewing leads to a subsequent increase in BMI percentiles and overweight. Efforts to decrease overweight should consider interventions to reduce television time.

Progression to established smoking: The influence of tobacco marketing

BACKGROUND Recent studies have shown that tobacco advertising leads to the onset of smoking among adolescents. However, much more still remains to be learned about the impact of tobacco advertising in the later transitions, mainly from experimentation to established smoking. In this study, we focused on the influence of tobacco advertising and promotions on the transition from experimentation to established smoking. METHODS Data were derived from a longitudinal survey of adolescents in California. Adolescents who were classified as experimenters at baseline were included in the analyses (N=965). Receptivity to tobacco advertising and promotions refers to the development of a positive affective response to the communication (e.g., having a favorite tobacco advertisement or being willing to use a promotional item). RESULTS Approximately 32% of adolescents who were experimenters at baseline in 1993, progressed to established smoking by follow-up in 1996. Progression was higher among Caucasian (37.3%) than Hispanic (21.9%) or African-American (17.6%) adolescents. Adolescents who perceived that most of their peers smoked, had poor relationships with family members, and were exposed to smoking friends and family members were more likely to progress to established smoking at follow-up in 1996. In addition, adolescents who were receptive to advertising and believed that they could quit anytime were more likely to progress to established smoking than those who did not think they could quit anytime. Adolescents who were willing to use a promotional item and who believed that they could quit anytime had the highest rate of progression to established smoking (52%). CONCLUSIONS This study provides evidence that receptivity to tobacco advertising and promotions is an important factor in progressing from experimentation to established smoking among adolescents. Because perceived ability to quit made adolescents more likely to progress, counter-tobacco marketing campaigns should incorporate messages about addiction and difficulties associated with quitting.

Light smokers: Issues and recommendations

Although the overall prevalence of tobacco smoking in the United States is decreasing, the proportion of light smokers is increasing and is as high as 50% among some groups. There is growing evidence that light smokers experience significantly higher health risks compared to nonsmokers, and they are often unable to quit smoking on their own. The prevalence of light smoking differs among subpopulations in the US and is particularly common among adolescents, college students, pregnant women, and some ethnic minorities. Characteristics of light smokers in these subpopulations vary, as do the underlying reasons for smoking, barriers to cessation, and treatment issues. Unfortunately, the paucity of research to develop and test effective cessation aids is common across all groups of light smokers. Given the substantial portion of light smokers in these populations, development and dissemination of effective behavioral and pharmacological interventions for light smokers is likely to result in substantial smoking reduction rates in the general population.

Confirmatory factor analysis of the child-feeding questionnaire among parents of adolescents

We investigated the validity of the child-feeding questionnaire (CFQ) among parents of adolescents. The original CFQ was developed to assess perceptions of obesity-proneness and child-feeding practices among parents of 2- to 11-year-old children. We modified the CFQ to make it applicable to parents of adolescents and added one item on monitoring sugared beverages. Confirmatory factor analysis was conducted using the latent variable approach. Factor scores were related to adolescent body mass index percentiles (BMI%) using structural equation modeling. The modified CFQ was completed by 260 parent/guardians (mean age 39.8 years; 92% female; 55% Black, 35% White, 10% Other). The original published measurement model was fit to our sample and yielded an acceptable fit (CFI = 0.95, TLI = 0.93, RMSEA = 0.05). Adding the extra variables decreased the fit; however, minor modifications improved the fit without changing the factor structure (CFI = 0.95, TLI = 0.94, RMSEA = 0.05). Cronbachs alphas for the subscales ranged from 0.60 to 0.88. The factors, parental perceptions of child weight, concern for child weight, monitoring and restriction were positively associated, and pressure to eat was inversely associated with adolescent BMI%. In conclusion, the psychometric properties of the modified CFQ tested among parents of a multi-ethnic adolescent sample were similar to those of the original CFQ.

Sharing the blame: smoking experimentation and future smoking-attributable mortality due to Joe Camel and Marlboro advertising and promotions.

BACKGROUND Despite public denials, internal tobacco company documents indicate that adolescents have long been the target of cigarette advertising and promotional activities. Recent longitudinal evidence suggests that 34% of new experimentation occurs because of advertising and promotions. OBJECTIVE To apportion responsibility for smoking experimentation and future smoking-attributable mortality among major cigarette brands attractive to young people (Camel and Marlboro). DATA SOURCES, SETTING, AND PARTICIPANTS Data were from confirmed never-smoking adolescents (12–17 years old) responding to the 1993 (n = 2659) and 1996 (n = 2779) population-based California Tobacco Surveys. MAIN OUTCOMES Adolescents named the brand of their favourite cigarette advertisements and tobacco promotional items. Using these “market shares” and the relative importance of advertising and promotions in encouraging smoking, we estimated how many new experimenters from 1988 to 1998 in the United States can be attributed to Camel and Marlboro. From other data on the natural history of smoking, we projected how many future deaths in the United States can be attributed to each brand. RESULTS Although Camel advertisements were favoured more than Marlboro and other brands in 1993 and 1996, the “market share” for promotional items shifted markedly during this period from Camel and other brands towards Marlboro. We estimated that between 1988 and 1998, there will be 7.9 million new experimenters because of tobacco advertising and promotions. This will result in 4.7 million new established smokers: 2.1, 1.2, and 1.4 million due to Camel, Marlboro, and other brands’ advertising and promotions, respectively. Of these, 1.2 million will eventually die from smoking-attributable diseases: 520 000 from Camel, 300 000 from Marlboro, and the remainder from other brands. CONCLUSIONS Our analysis provides a reasonable first estimate at sharing the blame for the long-term health consequences of smoking among the major brands that encourage adolescents to start smoking.

Pathways to Health: A Cluster Randomized Trial of Nicotine Gum and Motivational Interviewing for Smoking Cessation in Low-Income Housing

Despite high smoking rates among those living in poverty, few cessation studies are conducted in these populations. This cluster-randomized trial tested nicotine gum plus motivational interviewing (MI) for smoking cessation in 20 low-income housing developments (HDs). Intervention participants (10 HDs, n = 66) received educational materials, 8 weeks of 4 mg nicotine gum, and 5 MI sessions on quitting smoking. Comparison participants (10 HDs, n = 107) received 5 MI sessions and educational materials addressing fruit and vegetable consumption. Participants had a mean age of 46.3 years and were predominantly female (70%) and African American (83%). Biochemically-verified 7-day abstinence rates at 8 weeks were 6.1% and 5.6% in the intervention and comparison arms, respectively (p = ns); and at 26 weeks were 7.6% and 9.3%, respectively (p = ns). Results suggest that nicotine gum plus MI were not effective for smoking cessation in low-income housing. Programs are needed to enhance the effectiveness of pharmacotherapy and counseling in underserved populations.

Using Focus Groups in Community-Based Participatory Research: Challenges and Resolutions

A community-based participatory approach requires that community members be involved in all phases of the research process. We describe three focus group studies with American Indians in Kansas and Missouri, using a newly developed method of conducting and analyzing focus groups with community input (72 focus groups, 519 participants). We conducted two needs assessment studies focused on barriers to breast and colorectal cancer screening and one study focused on Internet use for gathering health information. Community members and researchers collaborated to develop guides for the focus group moderators. Community organizations and our community advisory board conducted recruitment, and we trained and employed community members as moderators, assistant moderators, and analysts. Our community partners also helped with dissemination of research findings to their constituents. The methodologic approach and data from these three studies will allow us to more appropriately address health disparities in the American Indian community, with full community support for our research.

Predictors of quitting among African American light smokers enrolled in a randomized, placebo-controlled trial

AbstractOBJECTIVE: To examine the predictors of quitting among African American (AA) light smokers (<10 cigarettes per day) enrolled in a smoking cessation trial. METHODS: Baseline variables were analyzed as potential predictors from a 2 × 2 cessation trial in which participants were randomly assigned to 1 of 4 treatment groups: nicotine gum plus health education (HE) counseling, nicotine gum plus motivational interviewing (MI) counseling, placebo gum plus HE counseling, or placebo gum plus MI counseling. Chi-square tests, 2 sample t-tests, and multiple logistic regression analyses were used to identify predictors of cotinine (COT) verified abstinence at month 6. RESULTS: In the final regression model, HE rather than MI counseling (odds ratio [OR]=2.26%, 95% confidence interval [CI]=1.36 to 3.74), older age (OR=1.03%, 95% CI=1.01 to 1.06), and higher body mass index (OR=1.04%, 95% CI=1.01 to 1.07) significantly increased the likelihood of quitting, while female gender (OR=0.46%, 95% CI=0.28 to 0.76), ≤