Objectives. We examined the extent to which adolescents in Norway have been exposed to tobacco marketing despite an existing ban, and whether exposure is related to their current smoking or expectations they will smoke in the future.

Methods. Questionnaires were administered to nationally representative systematic samples of Norwegian youths aged 13 to 15 years in 1990 (n = 4282) and 1995 (n = 4065).

Results. About half in each cohort reported exposure to marketing. Youths reporting exposure were significantly more likely to be current smokers and to expect to be smokers at 20 years of age, after control for important social influence predictors.

Conclusions. Adolescents’ current smoking and future smoking expectations are linked to marketing exposure even in limited settings, suggesting the need for comprehensive controls to eliminate the function of marketing in promoting adolescent smoking.

The control of tobacco advertising and promotion is a pivotal policy area in the effort to prevent adolescent smoking.1,2 Nonsmoking adolescents who are aware of cigarette advertising and can identify specific advertisements are more likely to progress toward smoking over time.3–7 Exposure to tobacco promotional campaigns and ownership of promotional items such as clothing with cigarette brand logos are associated with greater susceptibility to and actual use of tobacco.3,8–13 As a result of these findings and other evidence linking tobacco marketing activities to youth smoking initiation,14–18 there has been widespread support among public health advocates for legislated controls on tobacco advertising and promotion.19–23

The 1998 Master Settlement Agreement, under which the tobacco industry agreed to restrict the content of print advertisements, eliminate billboard advertising, and limit certain categories of promotional activities, has changed many aspects of tobacco marketing in the United States but has not resolved fundamental concerns about the overall extent of industry marketing activities and their potential impact.24–27 There are doubts about the effectiveness of the implementation of the Master Settlement Agreement’s restrictions24,25,27 and, more generally, concerns about the success that can be achieved by limiting some but not all forms of tobacco marketing, given the past record of industry resourcefulness in response to legislative restrictions.28 In fact, overall cigarette marketing expenditures in the United States rose from $4.9 billion in 1995 to$9.5 billion in 2000, with most of the expenditures being used for promotional allowances, special offers, and gifts.29 Early investigations of the post–Master Settlement Agreement environment have found that advertising also appears to have increased in magazines, especially those with high youth readership,30–32 and at point-of-sale displays in stores.32–34

The policy environment pertaining to controls on tobacco marketing is in significant transition in the rest of the world as well. Numerous countries have instituted partial or comprehensive marketing bans.29 In late 2002, the 15-nation European Union approved a ban on tobacco advertising through newspapers, magazines, radio, and the Internet, to take effect in 2005.35 The ban is not comprehensive, since advertising will still be allowed on posters and billboards, in cinema, and through indirect sources such as clothing. This is a critical consideration, because partial bans result in industry resources being shifted to the remaining venues, and thus partial bans have been found to be far less effective than comprehensive bans in reducing tobacco consumption.36–39 Most significant, in May 2003, the World Health Assembly adopted the Framework Convention on Tobacco Control, an international treaty that will require participating countries to implement, among other provisions, comprehensive bans on tobacco advertising and promotion.19,40–44 Currently, the process of achieving treaty ratification by the requisite 40 World Health Organization member nations is underway.

The present study addresses these issues by examining the marketing exposure of adolescents in Norway, as well as the relationship of that exposure to their current smoking and future smoking expectations, using data from 1990 and 1995 national surveys conducted by Norway’s National Council on Tobacco and Health (now the Department for Tobacco Control). Norway passed legislation banning the advertising and promotion of tobacco in 1975, which included the advertising of all types of tobacco products as well as the use of tobacco products in connection with advertisements for other types of items. Several exceptions to the prohibition were allowed, including newspapers and other printed materials that were imported into Norway as well as indirect publicity in movies and television broadcasts (e.g., sporting events). Thus, despite the relatively comprehensive nature of the ban, the presence of tobacco marketing was not completely eliminated because of some channels not addressed by the legislation and others that proved difficult to control.48

The 1975 Norwegian legislation has been considered a strong success.48–50,51 For example, smoking rates declined steadily among adolescents and young adults through the 1980s (including a decrease among 13- to 15-year-olds from 45.5% in 1975 to 23.6% in 199052), before leveling off during the 1990s. Nevertheless, one goal of Norway’s nationwide survey of adolescents was to gauge the degree of penetration of marketing into the country, despite the ban, from the perspective of its youth. Another was to determine whether the tobacco marketing with which the youth came into contact, though limited, was related to their tobacco use. The ban was strengthened by new legislation in 1996, but its conditions were unchanged for the 1990 and 1995 survey cohorts.

The dependent variables we examine include the adolescents’ current smoking status and their expectations about whether they will smoke at 20 years of age. Future expectations to smoke or not smoke is a consistent predictor of transitions pertaining to smoking behavior4,51,53–55 and adds an important dimension to the understanding of adolescents’ cognitions regarding smoking. Altogether, 3 primary questions are investigated: (1) To what degree have Norwegian adolescents been exposed to tobacco marketing, despite the ban? (2) Are adolescents’ present smoking habits related to their exposure to marketing? (3) Are adolescents’ future smoking expectations related to their exposure to marketing? The examination of these questions can help to shed light on the Norwegian experience as a case study of a nation that has instituted a relatively comprehensive advertising ban.

Survey Design and Participants

Participants were Norwegian youths in grades 7 through 9 (13–15 years of age) in 1990 and 1995 who took part in a national tobacco use survey conducted by Norway’s National Council on Tobacco and Health. This survey has been administered every 5 years since 1975. The questionnaire consists of two pages with closed-ended items. Items on exposure to tobacco advertising were introduced in 1990. Overall results on tobacco use within this age group, including trends between 1975 and 1995, are described elsewhere.52

Prior to implementation, all lower-secondary schools in Norway were sent a letter of invitation from the national Ministry of Education. Participation was obtained from over 90% of the country’s schools in each survey year. The questionnaires were completed anonymously by students in their regular classrooms, under the supervision of their classroom teachers.

Sampling procedure.

More than 125 000 lower-secondary school students completed the surveys in each survey year. To facilitate data management and analysis, the following sampling procedure was implemented: All students born on the 6th of any month were designated for selection, and their questionnaires were forwarded directly to the National Council for data analysis. Results from the other questionnaires were compiled by school personnel and were not included in this data set. The criterion employed for selecting the sample—a single birth date within each month of the year—was judged to be an unbiased systematic sampling procedure that could be implemented by local school personnel with ease and accuracy, compared with more conventional sampling options. Identification of the 6th was a selection made prior to the first survey and repeated in subsequent survey years.

Thus, the sample in the present analysis constitutes approximately 3.3% (i.e., 12/365 days) of all youths attending lower-secondary school in Norway and responding to the survey. There were 4310 respondents in 1990 and 4122 in 1995. According to nationwide school enrollment figures for those years, the estimated survey participation rate for all students in grades 7 through 9 was 80.8% in 1990 and 80.1% in 1995.

Measures

Information was collected on gender; grade; lifetime smoking prevalence; and smoking by mother, father, closest friend, and older siblings (if applicable). The dependent variables in the logistic regressions were current smoking status (daily, occasionally, or never) and future smoking expectations, which was assessed with the question (in translation): “Do you think you will be smoking daily when you are about 20 years old?” (definitely yes, probably yes, probably no, or definitely no).

The independent variable in the regressions was exposure to marketing. Students were asked: “In Norway, all tobacco advertising is forbidden. Despite this, have you recently seen anything that appeared to you to be an ad for cigarettes or other tobacco products?” (yes, no, or don’t know). Youths answering “yes” were directed to a checklist of 10 potential venues or locations for tobacco marketing: cinema, television, cafes or restaurants, shops, clothing, ashtrays or matchboxes, toys, carrying bags, magazines or newspapers, and other sources. Youths identified those places where they had seen the marketing. A 4-level count variable was created that reflected the total of locations identified (no locations, 1–2 locations, 3–4 locations, or 5 or more locations).

Procedure

Schools received a packet from the National Council that included instructions to the school administrator and classroom teachers, survey questionnaires for all students, and a school-level reporting form. Teachers administered the survey on a designated day in the fall of the year and, if possible, at the same time in all classes. The questionnaire required about 15 minutes to complete. Students were instructed not to write their names on the questionnaires.

Prior to survey administration, teachers were given a list of students in their class who were born on the 6th day of any month. After the survey had been completed, those students were directed by their teacher to seal their questionnaires in individual envelopes, which were subsequently sent to the National Council for analysis. Thus, during data collection, the experiences of the students in the national sample were identical to those of their classmates. Results from the remaining questionnaires were compiled and used locally by school personnel.

Data Analyses
Data preparation.

Prior to data analysis, cases missing information on current smoking status were eliminated from the data set. In addition, cases were identified in which the respondent provided inconsistent information (e.g., reported never having tried smoking but also reported being a daily or occasional smoker). There were only 23 such cases in 1990 and 45 in 1995, and they were eliminated from further analysis. This resulted in a final sample of 4282 youths in 1990 and 4065 youths in 1995.

Summary data and bivariate relationships.

For each survey year, data were analyzed to determine the overall level of reported exposure to marketing. Chi-square analyses were used to test the statistical associations between youths’ current smoking status and their reported exposure to each marketing venue.

Logistic regressions.

To determine whether marketing exposure had an association with current smoking that could be statistically isolated from other potential correlates, we created a dichotomous variable for respondents’ current smoking (1 = daily or occasional use; 0 = no use) and conducted logistic regressions for each survey year, with the 4-level exposure variable as the independent variable of interest. Gender, grade, parental smoking (combined into 1 three-level variable), best friend smoking, and older sibling smoking were included in the model as statistical controls.

We also used logistic regression to examine the relationship between marketing exposure and future expectations to smoke. The 4-level future expectations measure was collapsed into a dichotomous variable (expects vs does not expect to smoke) for use as a dependent variable. The predictor of most interest was the marketing exposure variable. Gender, grade, current smoking status, parental smoking, best friend smoking, and older sibling smoking were included as controls. Once again, separate analyses were conducted for the 2 cohorts.

Descriptive Information and Bivariate Relationships

Table 1 presents descriptive information on the 2 samples and the variables in the analysis. In both 1990 and 1995, slightly more than half the Norwegian youths had tried smoking and about 1 in 4 smoked daily or occasionally. There was an increase in occasional smoking between 1990 and 1995, from 14.5% of the total sample to 17.5%. As the χ2 analyses show, smoking was significantly more prevalent among girls and older youths, and was strongly associated with parental smoking, sibling smoking, and best friend smoking. Future smoking expectations were similar across the 2 cohorts: in each year, about 11% responded that they expected to smoke (definitely or probably), whereas about 44% believed that they definitely would not. There was a decrease in the percentage of pupils who reported having seen tobacco marketing (from 55.7% to 49.1%). Finally, the bivariate relationships between smoking and exposure to marketing were highly significant in both years. Youths who reported seeing marketing were much more likely to be current smokers than those who did not.

Tobacco Marketing Venues

Table 2 presents the venues in which the youths reported viewing marketing. Overall self-reported exposure is displayed for each venue along with the relationship of that exposure to respondents’ smoking status. The widest exposure was reported for tobacco paraphernalia (ashtrays, matchboxes, and lighters), cited by 33.5% of 1990 respondents and 29.3% of 1995 respondents. Not surprisingly, the exposure to these smoking accessories was strongly associated with smoking status, with smokers’ exposure being particularly high. However, it is noteworthy that even among nonsmokers these paraphernalia constituted the most widely reported category, with 29.0% (n = 947) of nonsmokers in 1990 and 25.0% (n = 753) in 1995 reporting exposure. This was followed by the venues of carrying bags; shops and kiosks; clothing; and cafes, snack bars, and restaurants. The venues more closely aligned with mass media—cinema, TV, and magazines—were marked by considerably less exposure in both years.

As the χ2 analyses demonstrate, smoking status was strongly related to reported exposure within each venue. Almost all the χ2 tests revealed highly significant associations; only TV, toys, and other places, all in 1990, were nonsignificant.

Logistic Regressions

Table 3 presents the adjusted odds ratios (with 95% confidence intervals) and P values resulting from the logistic regressions on smoking status. The analyses show that with the effects of the other social influence variables controlled, smoking status was highly significantly predicted by reported marketing exposure, even for youths who reported only 1 or 2 locations. In both years, the adjusted odds ratios were greater than 2 for those youths who reported 5 or more locations. All of the predictor variables were highly significant, and there was striking consistency across the 2 cohorts. There was only one case where the two years were different: the intermediate level of parental smoking (1 parent smokes) was significant in 1995 but not in 1990.

Table 4 presents the logistic regressions on the youths’ future expectations of smoking at 20 years of age. The analyses show, once again, that marketing exposure has a highly significant effect on this variable, even when effects of the other correlates have been controlled—although in this case, the effect was significant only when 3 or more locations were reported. The highest exposure level—5 or more locations—once again was associated with adjusted odds ratios greater than 2. As in the current smoking analyses, the patterns for 1990 and 1995 were very consistent on almost all predictors.

These results indicate that even in the context of a relatively comprehensive ban, about half of Norway’s adolescents reported exposure to marketing. Although this level of exposure is far less than levels in other countries, according to 1999–2001 data from the Global Youth Tobacco Survey,47 it must nevertheless be considered a high proportion in light of the legislation’s intent, and reflects the challenges faced by individual nations that attempt to eliminate marketing in its numerous forms.

In addition, the findings establish that adolescents’ current smoking status and their expectations about smoking in early adulthood can be linked to marketing exposure even in a context where most forms of advertising are banned and exposure is much lower than will be found in the great majority of countries. In both cohorts, youths who reported seeing marketing in 5 or more types of locations were roughly twice as likely to be current smokers and to expect to smoke at 20 years of age. Furthermore, their current smoking status was significantly associated with even the lowest level of exposure (only 1–2 locations). The results for 1990 and 1995 were highly comparable, and thus these samples provide independent replications for the analyses and serve as evidence for the stability of the relationships.

Interpreting the Findings

The logistic regressions controlled for social influence variables that are powerful and consistent predictors of adolescent smoking. To the extent that marketing exposure might be correlated with these social influence factors, our model probably represents a conservative test of marketing’s contribution to predicting the 2 dependent variables. For example, since one effect of tobacco advertising is to increase favorable images of smoking within peer networks,56 the predictive power of friends’ tobacco use may reflect, in part, one effect of advertising. Thus, inclusion of best friend smoking as a control in the regression model masks some of advertising’s indirect effect and may result in an underestimation of its overall relationship to smoking.

It is noteworthy that marketing exposure was found to be predictive of future smoking expectations even when controlling for the respondents’ own current smoking, which was, not surprisingly, an extremely powerful predictor of future expectations. This suggests that the adolescents were responding on the basis of an active self-definition process that went beyond a straightforward assumption that they would continue their present behavior patterns into the future. For example, more than one fourth of daily smokers (27.5% in 1990 and 30.5% in 1995) and the great majority of occasional smokers (80.5% in 1990 and 82.2% in 1995) believed they would not be smoking at 20 years of age, although a small proportion of current nonsmokers (2.5% in 1990 and 2.6% in 1995) believed that they would. Our results indicate that marketing exposure may contribute to the variability in this self-definition process. Investigations of the intraindividual factors that affect the accuracy of young people’s expectations are clearly warranted.

Finally, the analysis did not include psychosocial variables such as perceptions of smoking prevalence or perceptions of the social benefits of smoking, many of which are strongly implicated in tobacco initiation.2,51 It is likely that marketing exposure interacts with these variables through a variety of mediating mechanisms to influence smoking susceptibility, and the exploration of these relationships is another important avenue for further research.

Implications for Policy

What can be learned from these findings relating to advertising bans? These data demonstrate that there can be significant marketing penetration despite a ban, and that the relationship between marketing and youth smoking persists even in this specialized context of limited exposure. Our finding that most of the frequently cited marketing venues involved promotional items—ashtrays, clothing, and carrying bags—rather than mass communication media suggests that the industry’s use of promotional activities presents a particular challenge for legislative efforts to restrict tobacco marketing. The response must be stricter enforcement of existing laws, the introduction of broader legislation, and international cooperation to reduce tobacco advertising and the distribution of tobacco promotional items. Norway has continued its tradition of strong legislative activity in all areas of tobacco control—including a smoking ban in all restaurants and bars that took effect in June 2004—and now has a fully comprehensive ban on all forms of tobacco advertising, promotion, and sponsorship.

In the United States, the combined effects of local ordinances and legal settlements are resulting in wider constraints on tobacco advertising and promotion. In past years, the exposure of youths to marketing has been nearly universal,1,45,46 but this situation may change over the coming years. Although more research is needed, the present results suggest that even very limited levels of advertising and promotion are cause for concern. Thus, the Norwegian experience can serve as a model that other countries can use to examine the interaction patterns of smoking risk factors under highly constrained marketing conditions.

TABLE 1— Characteristics of 1990 and 1995 Samples
TABLE 1— Characteristics of 1990 and 1995 Samples
19901995
% in Demographic Category % in Demographic Category
Variablen (%)Daily Smoker (n = 392)Occasional Smoker (n = 623)Nonsmoker (n = 3267)n (%)Daily Smoker (n = 334)Occasional Smoker (n = 713)Nonsmoker (n = 3018)
Total sample4282 (100%)9.214.576.34065 (100%)8.217.574.2
Gendera
Male2221 (51.9%)8.712.878.52090 (51.5%)7.515.277.3
Female2060 (48.1%)9.716.473.91969 (48.5%)9.019.971.1
χ22 13.69   20.65
P .001   <.001
7th1403 (32.8%)1.99.189.11347 (33.1%)2.411.785.8
8th1425 (33.3%)7.216.076.81343 (33.0%)7.418.474.2
9th1453 (33.9%)18.118.463.51374 (33.8%)14.622.463.0
χ24 323.34   217.77
P <.001   <.001
Father smokes
Yes1947 (45.8%)12.715.971.41639 (40.9%)11.219.369.4
No2304 (54.2%)6.113.480.52373 (59.1%)6.016.277.8
χ22 66.08   46.81
P <.001   <.001
Mother smokes
Yes1937 (45.4%)12.416.071.61647 (40.6%)12.819.867.5
No2333 (54.6%)6.413.480.22412 (59.4%)5.115.978.9
χ22 57.24   94.64
P <.001   <.001
Older sibling smokes
Yes980 (22.9%)20.121.158.8888 (21.9%)16.323.360.4
No1808 (42.3%)5.113.081.91733 (42.8%)5.915.578.6
No older sibling1484 (34.7%)6.812.181.11432 (35.3%)6.116.277.7
χ24 258.78   142.51
P <.001   <.001
Best friend smokes
Yes893 (20.9%)37.032.031.0959 (23.8%)31.036.632.4
No3370 (79.1%)1.79.988.43066 (76.2%)1.011.687.4
χ22 1506.81   1358.04
P <.001   <.001
Tried smoking
Yes2422 (56.6%)16.225.758.12299 (56.6%)14.531.054.5
No1855 (43.4%)0.00.0100.01760 (43.4%)0.00.0100.0
χ22 1019.27   1080.15
P <.001   <.001
Expects to smoke at 20 years of age
Definitely yes46 (1.1%)69.623.96.582 (2.0%)76.817.16.1
Probably yes440 (10.3%)57.025.018.0352 (8.7%)47.431.820.7
Probably no1964 (46.0%)4.921.273.81808 (44.8%)4.824.670.6
Definitely no1824 (42.7%)0.54.794.81793 (44.4%)0.87.791.5
χ26 2003.48   1730.19
P <.001   <.001
Has seen tobacco marketing
Yes2383 (55.7%)11.817.271.01997 (49.1%)11.421.167.6
No1899 (44.3%)5.811.382.92068 (50.9%)5.214.180.7
χ22 85.48   99.17
P <.001   <.001

aSums differ slightly because of missing data on demographic variables.

TABLE 2— Locations of Exposure to Tobacco Marketing
TABLE 2— Locations of Exposure to Tobacco Marketing
1990 (n = 4282)1995 (n = 4065)
% in Location Category % in Location Category
Locationn (%)Daily Smoker (n = 392)Occasional Smoker (n = 1623)Nonsmoker (n = 3267)n (%)Daily Smoker (n = 334)Occasional Smoker (n = 713)Nonsmoker (n = 3018)
At the cinema
Yes425 (9.9%)11.518.669.9264 (6.5%)14.023.162.9
No3856 (90.1%)8.914.177.03801 (93.5%)7.817.275.0
χ22 10.81   21.45
P .004   <.001
On television
Yes623 (14.5%)10.415.773.8427 (10.5%)13.318.568.1
No3659 (85.5%)8.914.376.73638 (89.5%)7.617.475.0
χ22 2.58   17.93
P NS   <.001
At a cafe, snack bar, or restaurant
Yes585 (13.7%)13.518.867.7574 (14.1%)13.424.262.4
No3697 (86.3%)8.513.977.73491 (85.9%)7.416.476.2
χ22 29.01   51.66
P <.001   <.001
In shops or kiosks
Yes777 (18.1%)13.918.867.3591 (14.5%)16.422.561.1
No3505 (81.9%)8.113.678.33474 (85.5%)6.816.776.5
χ22 45.13   82.39
P <.001   <.001
On clothing
Yes722 (16.9%)13.219.867.0626 (15.4%)12.124.063.9
No3560 (83.1%)8.313.578.23439 (84.6%)7.516.476.1
χ22 41.46   41.93
P <.001   <.001
On ashtrays, matchboxes, or cigarette lighters
Yes1436 (33.5%)15.019.065.91190 (29.3%)13.922.863.3
No2846 (66.5%)6.212.381.52875 (70.7%)5.815.478.8
χ22 141.69   120.83
P <.001   <.001
On toys
Yes94 (2.2%)8.514.976.654 (1.3%)27.822.250.0
No4188 (97.8%)9.214.576.34011 (98.7%)8.017.574.6
χ22 .05   30.50
P NS   <.001
On carrying bags
Yes902 (21.1%)13.117.769.2823 (20.2%)11.722.266.1
No3380 (78.9%)8.113.778.23242 (79.8%)7.316.376.3
χ22 34.83   37.12
P <.001   <.001
In Norwegian magazines or newspapers
Yes414 (9.7%)10.121.368.6318 (7.8%)13.823.362.9
No3868 (90.3%)9.013.877.13747 (92.2%)7.717.175.2
χ22 18.22   25.71
P <.001   <.001
Other places
Yes332 (7.8%)9.916.973.2373 (9.2%)11.520.468.1
No3950 (92.2%)9.114.476.63692 (90.8%)7.917.374.9
χ22 2.03   9.45
P NS   .009

Note. NS = not significant.

TABLE 3— Logistic Regression Predicting Adolescents’ Current Smoking
TABLE 3— Logistic Regression Predicting Adolescents’ Current Smoking
19901995
VariablenOR (95% CI)PnOR (95% CI)P
Gender
Male21841.00 . . . 20591.00 . . .
Female20271.32 (1.10, 1.58).00219311.43 (1.20, 1.71)<.001
7th13811.00 . . . 13171.00 . . .
8th14022.10 (1.65, 2.68)<.00113191.79 (1.42, 2.26)<.001
9th14283.29 (2.60, 4.16)<.00113542.81 (2.24, 3.51)<.001
Parental smoking
Neither parent smokes 16081.00 . . . 17071.00 . . .
1 parent smokes13861.21 (0.97, 1.50)NS13361.38 (1.13, 1.70).002
Both parents smoke12171.37 (1.09, 1.70).0069471.63 (1.31, 2.04)<.001
Best friend smoking
No33351.00 . . . 30421.00 . . .
Yes87612.63 (10.46, 15.24)<.00194810.83 (9.05, 12.97)<.001
Older sibling smoking
No17781.00 . . . 17161.00 . . .
Yes9672.36 (1.90, 2.93)<.0018681.76 (1.42, 2.19)<.001
No older sibling14661.08 (0.87, 1.34)NS14061.01 (0.83, 1.24)NS
Marketing exposure
No locations18661.00 . . . 20291.00 . . .
1–2 locations12851.80 (1.46, 2.23)<.00111131.44 (1.17, 1.78).001
3–4 locations7381.87 (1.46, 2.38)<.0015831.96 (1.53, 2.50)<.001
≥ 5 locations3222.12 (1.53, 2.95)<.0012652.25 (1.62, 3.14)<.001

Note. OR = odds ratio; CI = confidence interval; NS = not significant. N = 4211 in 1990; N = 3990 in 1995. Dependent variable coding: 0 = current nonsmoker; 1 = daily or occasional smoker.

TABLE 4— Logistic Regression Predicting Adolescents’ Future Smoking Expectations
TABLE 4— Logistic Regression Predicting Adolescents’ Future Smoking Expectations
19901995
VariablenOR (95% CI)PnOR (95% CI)P
Gender
Male21801.00 . . . 20451.00 . . .
Female20251.53 (1.17, 1.99).00219160.82 (0.63, 1.07)NS
7th13791.00 . . . 13031.00 . . .
8th14000.65 (0.46, 0.92).01413100.51 (0.36, 0.72)<.001
9th14260.48 (0.34, 0.69)<.00113480.35 (0.25, 0.50)<.001
Current smoking
Never32151.00 . . . 29491.00 . . .
Occasionally6097.08 (5.02, 10.00)<.0016876.32 (4.50, 8.87)<.001
Daily38182.50 (53.48, 127.28)<.00132559.43 (38.63, 91.41)<.001
Parental smoking
Neither parent smokes 16071.00 . . . 17001.00 . . .
1 parent smokes13842.78 (1.94, 3.98)<.00113201.98 (1.41, 2.77)<.001
Both parents smoke12144.26 (3.00, 6.06)<.0019412.81 (2.01, 3.94)<.001
Best friend smoking
No33301.00 . . . 30201.00 . . .
Yes8751.49 (1.09, 2.04).0139411.94 (1.41, 2.65)<.001
Older sibling smoking
No17761.00 . . . 17011.00 . . .
Yes9671.62 (1.18, 2.21).0038591.57 (1.15, 2.14).004
No older sibling14620.96 (0.69, 1.34)NS14010.82 (0.59, 1.14)NS
Marketing exposure
No locations18641.00 . . . 20101.00 . . .
1–2 locations12841.31 (0.95, 1.81)NS11071.01 (0.72, 1.40)NS
3–4 locations7361.45 (1.01, 2.06).0435791.85 (1.30, 2.63).001
≥ 5 locations3212.42 (1.56, 3.76)<.0012652.08 (1.33, 3.23).001

Note. OR = odds ratio; CI = confidence interval; NS = not significant. N = 4205 in 1990; N = 3961 in 1995. Dependent variable coding: 0 = expects not to smoke; 1 = expects to smoke.

The first author (M. T. Braverman) conducted part of the work for this article while on sabbatical leave as a visiting researcher at Norway’s National Institute of Public Health, Unit for Disease Prevention and Health Promotion (now part of the Norwegian Institute of Public Health). He gratefully acknowledges their generous support.

We thank the Norwegian Directorate for Health and Social Affairs, Department for Tobacco Control (previously the National Council on Tobacco and Health) for making the databases available for analysis and, in particular, to Rita Lindbak for expert consultation and support.

Human Participant Protection The survey design and data collection were approved by Norway’s Ministry of Education and conducted under the auspices of the Ministry of Education and Norway’s National Council on Tobacco and Health (now the Department for Tobacco Control). Both are national government agencies.

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