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PEDIATRICS Vol. 110 No. 3 September 2002, pp. 505-508

Television Viewing and Initiation of Smoking Among Youth

Pradeep P. Gidwani, MD, MPH*, Arthur Sobol, AM{ddagger}, William DeJong, PhD§, James M. Perrin, MD|| and Steven L. Gortmaker, PhD{ddagger}

* Center for Child Health Outcomes, Children’s Hospital and Health Center, San Diego, California
{ddagger} Department of Health and Social Behavior, Harvard School of Public Health, Boston, Massachusetts
§ Department of Social and Behavioral Sciences, Boston University School of Public Health, Boston, Massachusetts
|| Center for Child and Adolescent Health Policy, MassGeneral Hospital for Children, Boston, Massachusetts, and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts

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    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
Background. Smoking is the leading preventable cause of death in the United States, and the risk of disease increases the earlier in life smoking begins. The prevalence of smoking among US adolescents has increased since 1991. Despite bans on television tobacco advertising, smoking on television remains widespread.

Objective. To determine whether youth with greater exposure to television viewing exhibit higher rates of smoking initiation.

Methods. We used the National Longitudinal Survey of Youth, Child Cohort to examine longitudinally the association of television viewing in 1990 among youth ages 10 to 15 years with smoking initiation from 1990–1992. Television viewing was based on the average of youth and parent reports. We used multiple logistic regression, taking into account sampling weights, and controlled for ethnicity; maternal education, IQ, and work; household structure; number of children; household poverty; child gender; and child aptitude test scores.

Results. Among these youth, smoking increased from 4.8% in 1990 to 12.3% in 1992. Controlling for baseline characteristics, youth who watched 5 or more hours of TV per day were 5.99 times more likely to initiate smoking behaviors (95% confidence interval: 1.39–25.71) than those youth who watched <2 hours. Similarly, youth who watched >4 to 5 hours per day were 5.24 times more likely to initiate smoking than youth who watched <2 hours (95% confidence interval: 1.19–23.10).

Conclusions. Television viewing is associated in a dose-response relationship with the initiation of youth smoking. Television viewing should be included in adolescent risk behavior research. Interventions to reduce television viewing may also reduce youth smoking initiation.

Key Words: smoking • adolescents • television • youth smoking

Abbreviations: NLSY, National Longitudinal Survey of Youth • CI, confidence interval • OR, odds ratio


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
Smoking is the leading preventable cause of death in the United States, and the risk of disease increases the earlier in life smoking begins.1,2 Approximately 70% of smokers become regular smokers by age 18.3 The prevalence of smoking among US adolescents has increased since 1991.4,5 Approximately 3 million adolescent smokers consume nearly a billion packs of cigarettes each year.6 Clearer understanding of the factors that influence the initiation of tobacco use by adolescents may provide opportunities for prevention.

Television programs depicting tobacco usage may encourage smoking among adolescents. Although bans have prevented direct tobacco advertising on television, studies have indicated the widespread portrayal of smoking on television in prime-time programming, movies, music videos, and sporting events.713 In a recent review of 81 G-rated films, 35 films (43%) showed tobacco use with a mean exposure of 2.1 minutes per film.8 In music videos, smokers are typically portrayed as attractive, successful, and influential and in a positive social context, often with sexually suggestive content.9 Rarely is smoking portrayed in an unattractive manner or associated with negative consequences. Logos, billboards, and banners for cigarettes make tobacco advertising a prominent feature of sporting events on American television.11 Television thereby may serve as an indirect method of smoking advertising.

The premise that television instructs and motivates behavior is grounded in social learning theory.14 According to this theory, people acquire new skills or behavioral scripts primarily through the observation of models. People perform the behavior in response to expected and valued rewards; these can be rewards that they have earned before or observed being given to others ("vicarious reinforcement"). As noted, television provides adolescents with role models, including movie and television stars and athletes, who portray smoking as a personally and socially rewarding behavior.10,12,13

No longitudinal studies have examined the association between smoking and television exposure. Because adolescents are heavy watchers of television, we hypothesized that youth with greater exposure to television viewing would exhibit higher incidence of smoking initiation.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
We used the National Longitudinal Survey of Youth, Child Cohort (NLSY), to examine longitudinally the association of television viewing in 1990 with smoking initiation between 1990 and 1992.

Sample
The original NLSY cohort is composed of a nationally representative sample of youth aged 14 to 21 years in 1979. Individuals in the cohort were interviewed in person annually since 1979. Although the focus of the NLSY is labor force-related behavior, the annual interviewer-administered questionnaires provide extensive information on health. The NLSY oversampled African American, Hispanic-American, and poor non-Hispanic white populations. Beginning in 1986, data on the children of women in this original cohort were collected, and these children form the basis for the sample in this study. Additional description of this cohort can be found in a study on obesity and television viewing.15 We analyzed the responses of youth who were 10 to 15 years of age in 1990; they were still <18 years of age in 1992 and therefore below the legal age to purchase cigarettes in a majority of states. We excluded children without complete reports of television viewing and missing information about smoking. The final sample consists of 592 individuals.

Initiation of Smoking
We classified youth who reported smoking in the last 3 months as having initiated smoking behaviors. Individuals who reported smoking in 1990 were excluded from the analysis because of the focus on smoking initiation. We relied on self-report of smoking behavior. Meta-analysis supports the validity and reliability of self-report of smoking behaviors.16 In a study of 1702 youth, Wills and Cleary17 found that self-report of smoking behaviors was valid and reliable when compared with exhaled carbon monoxide.

Hours of Television Viewing
The NLSY provides information for television viewing based on the youth report alone, the parent report alone, and the average of the youth and parent reports. The correlation between the youth and parent reports of hours per day was r = 0.31 (P < .001), with an estimated mean of 4.9 ± 2.5 hours for the youth reports and 4.7 ± 2.4 hours per day for the parent reports. The mean hours per day were 4.8 ± 2.2 when averaged. We used the average score in the analyses, based on the assumption that the combined score of 2 reporters would be more reliable and valid than a single report.18 Television viewing was categorized into: 0 to 2, >2 to 3, >3 to 4, >4 to 5, and >5 hours per day. Because the American Academy of Pediatrics recommends limiting television viewing to no more than 2 hours per day,19 youth who watched <2 hours per day served as the reference group.

Sociodemographic and Cognitive Variables
We controlled for several socioeconomic and demographic factors (ethnicity, household poverty, marital status, number of children in the household), maternal factors (education, measured intelligence, employment), and child factors (gender and baseline child aptitude test scores). Ethnicity was categorized as white non-Hispanic, black, or Hispanic. Household poverty was dichotomized as above or below 100% of the federal poverty line in 1990. Mother’s marital status was dichotomized into married or not married in 1990. Maternal intelligence was measured by the Armed Forces Qualification Test in 1986.20 Maternal employment was categorized as employed or unemployed in 1990. Child aptitude test scores were measured by the Peabody Individual Achievement Test for math and reading and the Peabody Picture Vocabulary Test.20

Analysis
The NLSY uses a complex, stratified sample design. We therefore used sample weights provided by the NLSY to calculate means and proportions, taking the sample design into account. Student t tests were used to compare mean results, and {chi}2 tests were used to compare differences in proportional results. We used weighted multiple logistic regression to determine the relationship between television viewing and smoking initiation, controlling for ethnicity, poverty, marital status, number of children in the household, maternal education, maternal intelligence, maternal employment, gender of the child, and baseline child aptitude test scores.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
In 1990, the mean age of the cohort was 11.5 years with a range of 10 to 15. In 1990, 34 individuals reported smoking in the last 3 months. They were excluded from the cohort. In 1992, an additional 57 individuals reported smoking behaviors. When youth who initiated smoking behaviors were compared with youth who did not initiate smoking behaviors, no significant difference was found based on gender, age, maternal education, household poverty, maternal marriage status, or number of children (Table 1).


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TABLE 1. Characteristics of Youth Who Initiated Smoking and Nonsmokers, Ages 10 to 15, in the United States (NLSY, Child Cohort)*

 
The percentage of youth smoking in the cohort increased from 4.8% in 1990 to 12.3% in 1992. The average amount of television viewing in 1990 was 4.8 hours per day. Approximately one third of youth watched >5 hours of television per day, and one tenth of youth watched 0 to 2 hours per day. Of the individuals who initiated smoking in 1992, 42% viewed television for >5 hours per day.

We examined the relationship between television viewing and initiation of smoking and found a strong dose-response relationship with increasing hours (Table 2). Controlling for baseline characteristics, youth who watched >5 of television per day were 5.99 times more likely to initiate smoking behaviors (P = .02; 95% confidence interval [CI]: 1.39–25.71) than those youth who watched 0–2 hours per day. Similarly, youth who watched >4 to 5 hours per day were 5.24 times more likely to initiate smoking than youth who watched 0–2 hours (P = .03; 95% CI: 1.19–23.10). Although the associations between smoking initiation and youth who watch >2 to 3 hours and >3 to 4 hours were not statistically significant, a clear trend is visible. Youth who watched >2 to 3 hours were 2.00 times more likely to initiated smoking behaviors, and youth who watched >3 to 4 hours were 3.15 times more to likely to initiate smoking behaviors when compared with youth who watched 0 to 2 hours per day.


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TABLE 2. Percentage of Smoking Initiation Between 1990 and 1992: Unadjusted and Adjusted* ORs for Smoking by Amount of Television Viewed per Day in 1990{dagger}

 
We found significant associations between smoking initiation and race/ethnicity, household structure, and poverty. African American (odds ratio [OR]: 0.06, P < .01, 95% CI: 0.02–0.19) and Hispanic-American youth (OR: 0.11, P < .01, 95% CI: 0.02–0.46) were less likely to initiate smoking behaviors than their white counterparts. Youth who lived in a household where their mother was married were half as likely to initiate smoking as youth whose mother was not married (OR: 0.50, P = .05, 95% CI: 0.26–1.00). Finally, youth whose families lived in poverty were more likely to initiate smoking behaviors (OR: 2.88, P = .02, 95% CI: 1.20–6.89).


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
These results indicate a significant dose-response association between television viewing and youth smoking initiation. The direction of the relationship supports the hypothesis that exposure to images of smoking on television may increase the likelihood of smoking initiation in youth. A similar association between television viewing and the onset of alcohol use has been reported, with each additional hour of television viewing associated with a 9% average increase in the initiation of drinking.21

The incidence of smoking in our analysis is consistent with previous epidemiologic research. In 1992, the incidence of smoking in our cohort was 10.2%. When we included youth who were already smoking in 1990, the total prevalence of smoking behaviors was 12.3% in 1992. That same year, the Monitoring the Future Study, a nationally representative sample, found that 15.5% of eighth-graders had used cigarettes in the last 30 days.5 In addition, the incidence of smoking among minority groups in our cohort was consistent with data from other studies.16,17,22

This study has several major limitations. Although our estimates describe a strong prospective association of television viewing with smoking initiation, these are not experimental data. We have no direct evidence that changing television-viewing time will produce changes in smoking initiation. Because this is a nonexperimental epidemiologic study, we need to be mindful of other threats to the validity of making inferences regarding causality. Criteria for assessing causality in nonexperimental studies include these: 1) the causal exposure must clearly precede the hypothesized outcome; 2) the association should be strong and consistent; 3) the association should be specific; 4) there should be evidence of exposure response; and 5) the association should be expected from theory. The longitudinal nature of the NLSY cohort provides temporal sequence; in this study, television viewing was measured 2 years before smoking initiation. The association was substantial, with youth who watched >5 hours per day being 5.99 times as likely to initiate smoking than youth who watched 0 to 2 hours per day. Evidence of exposure response is seen in the dose-dependent association between smoking initiation and television viewing. Finally, the findings are consistent with social learning theory. Youth view positive images of smoking on television in prime-time programming, movies, music videos, and sporting events.

Three other limitations include the following: we were unable to examine the effects of peer smoking because the NLSY did not include that variable. Second, the NLSY provides information only on hours of television viewing without information on the content or type of television exposure. Exactly what adolescents watch may matter a great deal. Robinson and colleagues21 found an association of television and music video viewing with increased onset of alcohol use in adolescents, whereas videocassette viewing was associated with a decreased onset of alcohol use. Third, we do not have information on other media use, eg, magazines, Internet, etc.

The association of television viewing and incidence of smoking in this sample could reflect the influence of other unmeasured variables. However, we did control for many of the variables found to be associated with both television viewing and smoking incidence among youth, including ethnicity, household income poverty, and school performance.2326

TV viewing may serve as a marker for youth who exhibit high-risk behaviors such as smoking. Jessor27 notes that different risk behaviors may cluster together in adolescents because they serve a function related to social or psychological development, including identity formation and achieving adult status. Several researchers have shown a clustering of risk behaviors. Escobedo et al28 demonstrated an association between cigarette smoking and other health risk and problem behaviors. DuRant et al29 found that early age of onset of cigarette smoking was the strongest correlate of the overall number of risk behaviors in a group of middle-school students. Although current work focused on the clustering of adolescent risk behaviors has included smoking, television viewing has not been included as a risk factor.

Alternatively, television viewing may substitute for activities that build resilience and help youth guard against high-risk behaviors. Recent resilience research has demonstrated that bonding to family and school is a protective factor for a broad range of health-risk behaviors in adolescents.3032 Television viewing by youth may reduce family bonding by decreasing interaction between parents and adolescents. Hawkins et al32 reported that an intensive intervention to increase school bonding among elementary school children reduced violent behavior, heavy drinking, and sexual intercourse at 18 years of age. They found no difference in smoking initiation, but the intervention did not include decreasing hours of TV viewing.


    IMPLICATIONS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 IMPLICATIONS
 REFERENCES
 
This study indicates a strong association of television viewing with higher rates of smoking initiation among youth. Indeed, the pattern of results suggests that television, with its frequent positive portrayals of smoking, may be an effective indirect method of tobacco promotion. These results should alert parents, educators, and health professionals to the possibility that active efforts to discourage television viewing by youth may be an effective strategy for reducing the incidence of smoking and possibly other high-risk behaviors with which it is correlated.


    ACKNOWLEDGMENTS
 
Dr Gidwani was supported by the Harvard Pediatric Health Services Research Fellowship Program (grant T32 HS00063, Agency for Healthcare Research and Quality). Dr Gortmaker was supported in part by the Centers for Disease Control and Prevention (Prevention Research Centers grant U48/CCU115807).


    FOOTNOTES
 
Received for publication Dec 10, 2001; Accepted Apr 1, 2002.

Reprint requests to (P.P.G.) Center for Child Health Outcomes, Children’s Hospital and Health Center, 3020 Children’s Way, MC 5053, San Diego, CA 92123. Email: pgidwani{at}chsd.org

This work is solely the responsibility of the authors and does not necessarily represent the official views of the Centers for Disease Control and Prevention or other granting institutions.


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 INTRODUCTION
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 DISCUSSION
 IMPLICATIONS
 REFERENCES
 

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PEDIATRICS (ISSN 1098-4275). ©2002 by the American Academy of Pediatrics

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