Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis

Data were obtained from 12 waves of national survey data: 12 KYRBS continuous surveys from 2006 to 2017 conducted by the Korea Centers for Disease Control and Prevention. There was no methodological change and the annual response rate was approximately 95% during this survey period. The KYRBS is a nationally representative, self-reported, and anonymous online survey of Korean students enrolled in grades 7 to 12. The KYRBS uses a stratified multistage probability sampling design to produce nationally representative statistics on adolescents’ health behaviors in Korea. A total of about 70,000 students from about 800 schools (400 middle schools and 400 high schools) have participated in the KYRBS [1]. Among survey participants of 12 waves of survey, a total of 859,814 (boys 443,800, girls 416,014) were analyzed. This secondary data analysis was approved as exempt from review by the Institutional Review Board of the Daegu Catholic University Medical Center (CR-18-015).

Lifetime cigarette use is a reliable indicator with a concordance as high as 0.99 in the reliability test [17], and stable results can be obtained regardless of survey period or the smoking frequency unlike the measure of smoking over the past 30 days [14]. Therefore, we used the lifetime cigarette use in secular trend analysis that was determined by a self-reported response “yes” to the question “Have you ever smoked a cigarette, even one or two puffs?” This classification method for lifetime cigarette use was also used in previous studies using the Youth Risk Behavior Survey and the National Survey on Drug Use and Health [15, 18].

Weighted lifetime smoking prevalence was calculated according to grade, period and school admission cohort via a complex sampling procedure using SPSS version 19.0 (IBM Corp., Armonk, NY, USA). APC analyses were used to identify the grade, period, and school admission cohort effects of lifetime smoking prevalence. For the APC analysis, the grade, period, and school admission cohort groups were divided into one-year intervals using 12 batches of data from KYRBS (2006–2017). As a result, we created 6 grade groups (7th grade to 12th grade), 12 period years (2006–2017), and 17 school admission cohorts (2001–2017).

To overcome the identification problem caused by the linear dependency among age, period, and cohort (cohort = period-cohort) in the APC analysis, the intrinsic estimator method based on principal components regression was developed [4]. Thus, we applied the intrinsic estimator method using the “apc_ie” command of STATA 13.0 (Stata Corp., College Station, TX, USA). The fitness of the APC model with possible combinations of age, period and cohort effects was analyzed using the Akaike information criterion and Bayesian information criterion. All analyses were performed separately for boys and girls.

Although the age effect of the lifetime smoking rate increased with increasing grade level, the magnitude of increase was relatively small in higher grade levels (10th~12th grade). The decreasing age effect pattern was also observed in a study conducted by Chen et al., who used the data of never smoking prevalence among American adolescents between the ages of 13~17 years [14].

When lifetime smoking rate was compared between different grade levels within the same admission cohort group, decreased lifetime smoking rate at high grade levels (11th~12th grade) was consistently observed in the initial 10 admission cohorts of female students (2002 to 2011). Although a decrease in experience rate with increasing age cannot theoretically occur in a longitudinal study, it could be observed if representativeness in each grade is not guaranteed in admission cohort analysis using repeated cross-sectional surveys. However, the overall response rate was around 70% and the YRBS, which was conducted among about 15,000 American students, did not show decreased lifetime smoking rate with increasing grade level within the same school admission cohort in 10 years with the exception of one occasion (girls: 37.7% 10th grade in 2013, 36.3% 12th grade in 2015) [16, 19]. The KYRBS used in this study had a sample size of 70,000 adolescents and a response rate of 95%, which is greater than that of the YRBS [20]. Each year, 6000 adolescents of different genders at different grade levels are investigated to yield a stable lifetime smoking rate of above 10% in each gender and grade level. Hence, the KYRBS guarantees the representativeness of the participants [1]. However, a decrease in lifetime smoking rate at high level grades only among female students shows a possibility of measurement error and the following two reasons could be the causes of this observation.

First, lifetime smoking experience responds to past memories. Hence, recall bias could be more frequent among former smokers whose smoking dated back long periods or among ex-occasional smokers (the so-called lighter smoker bias) [21]. The mean age for first smoking experience did not largely differ between the two genders (boys, 12.8 years; girls, 13.1 years). However, female smokers had a lower frequency and amount of smoking [1]. Among these female students, progression to higher grade levels could imply a single smoking experience in the past or smaller smoking rates as non-smoking. Therefore, recall bias is relatively more likely. Secondly, adolescents at higher grade levels give fake responses to conform to social expectations. Late adolescence (age 15~19 years) is a period of increased interest in moral reasoning in terms of cognitive development [22]. Based on Kohlberg’s theory of moral development, the stage of socially conforming moral thinking (stage 4 in conventional morality level) increases and the previous stages (children’s behavior based on punishment avoidance (stage 1), rewards (stage 2), and good relations with others (stage 3)) are decreased [23]. In Asian countries, Confucianism culture gives a negative perspective on female smokers. Therefore, the smoking rate between males and females differ largely [24] and the self-stigma associated with smoking is also higher in females [25]. In Korea, social disapproval was especially high among 4 Asian nations (China, Thailand, Malaysia, and Korea) [26]. This strict social norm leads half of female adult and adolescent smokers to hide their smoking habits in surveys [27, 28]. As a result, the moral development process in Korean female students make them sensitive to social expectations and consequentially fake responses in surveys. Due to unintentional and intentional reasons such as those discussed above, the lifetime smoking rate could have decreased and the rate increase could have slowed among female students at high grade levels due to the age effect.

The period effect of the lifetime smoking rate showed a negative association from 2006 to 2016 except for the rates among male students in 2007 and 2011. The tobacco control policy in Korea has been constantly reinforced after ratifying the World Health Organization’s (WHO) Framework Convention on Tobacco Control in 2005. In particular, due to continuous amendments of the National Health Promotion Act since 2011, the tobacco control policies in Korea have been introduced or constantly enforced in terms of non-price control policies: strengthening the ban on tobacco advertising, promotion and sponsorship, complete ban on smoking indoors and in public places, strengthening the health warning label on cigarette packages and advertisement, restriction on indication of flavoring contained on the packages or advertisement, Quitline number for counseling services to quit smoking on the packages, and ban on misleading terms such as “mild,” “low tar,” and “light” [12, 29]. These reinforcements of tobacco control policies prevent or delay the first smoking experience of never-smokers, which could have consistently affected the periodic effect pattern of the lifetime smoking rate. Particularly, the tobacco price increase at the end of 2015 (from 2500 won to 4500 won per cigarette pack) led to the strongest period effect in the negative direction in 2016. Despite the introduction of pictorial health warning labels on cigarette packs in December 2016, the magnitude of the period effect in 2017 returned to the levels in 2015. Although several tobacco control policies in 2006~2017 led to decreased lifetime smoking rate among adolescents, increased tobacco price had the single largest period effect on adolescents’ smoking experience.

Reinforcement of tobacco control policies creates a social pressure to stop smoking [30], which leads to widespread smoking denormalization perception. In Korea, where the society is not very lenient with female smokers, changes in social perspective on smoking leads to a relatively larger effect on female students. Hence, the period effect of lifetime smoking rate is expected to be larger among female students than among male students. The Global Youth Tobacco Survey conducted in Korea in 2005 and 2013 showed a decrease in susceptibility (‘never tobacco users’ susceptible to tobacco use in the future, accessed by response to best friend’s smoking recommendation) among female students (8.2% in 2005, 4.4% in 2013), which was higher than that among male students (8.6% in 2005, 7.4% in 2013), which corroborates the above claims [31].

Before the admission cohort in 2009 (girls) and 2010 (boys), the cohort effect showed a pattern of initial decrease followed by an increase. However, a decrease was observed in both males and females after that point. Reinforcement of tobacco control policies and negative social perspective on smoking could affect adolescents awaiting middle school admission, who are the largest group for first smoking experience. Tobacco control laws such as display of carcinogen on cigarette pack in 2007; enforcing bans on tobacco advertising, promotion, and sponsorship in 2011; and restriction of smoking in public spread the negative perspective on smoking socially. The 2009~2010 admission cohort is thought to be the first to be exposed to these social perspectives.

A systematic school-based smoking prevention program with budget in Korea started experimentally in 2001~2003 in 100 schools. However, this size was insufficient to cause a decrease in the national adolescent smoking rate. In 2010~2014, the school-based smoking prevention program was expanded to 10% of schools nationwide, which must have also affected nearby non-participating schools indirectly. Furthermore, the increase in tobacco price in 2015 led to the implementation of school-based smoking prevention programs in all schools in the nation [32]. Changes in social perspective on smoking along with a widespread school-based smoking prevention program in 2010 could have partially had a decreasing cohort effect starting in the admission cohort in 2010.

In summary, the APC effect that contributed to decreased lifetime smoking rate among female students relative to male students are as follows: 1) reduced magnitude of increase in high grade level due to age effect, 2) a consistent decrease coinciding with large magnitude of decrease in period effect between 2006~2016 and 3) short increase period of cohort effect (girls: 2005 to 2009 cohort groups, boys: 2004 to 2010 cohort groups) and decreased magnitude of increase (girls: 2.44 times, boys: 7.35 times). On the other hand, the period effect increased in male students in certain years (2007, 2011). This resulted in an inverted U-shape where the lifetime smoking rate among male students increased in 2007~2008 and 2011. Among female students, the lifetime smoking rate consistently decreased.

This study has the following limitations. First, the results were composed of self-reported smoking, which could have underestimated the lifetime smoking rate. However, the possibility of measurement error due to the age effect based on indicators of lifetime smoking rate characteristic at different grade levels within the same school admission cohort group can be raised. As a result, the measurement error could have affected the lifetime smoking rate secular trend among female students. Secondly, regarding the APC analysis in adults, the APC effects were evaluated every 5 or 10 years. However, the APC effect was evaluated every year in this study, which could have led to unstable results; the study on American adolescents also performed APC analysis annually and reached a stable result [14]. Also, the magnitude of change in smoking rate was not negligible with a 1 year increase in this study and lifetime smoking rate in each school’s admission cohort and each grade showed consistent patterns. Furthermore, since this study used data from a nationwide annual survey on 6000 students in different grades and different genders, it should not have been difficult to achieve stable results.

This study is significant since it studied cohort effects on smoking trends among Asian adolescents. Furthermore, this study suggested that an APC analysis method for smoking rate secular trend analysis was necessary. Moreover, previous studies on APC analysis have implications for cohort and period effects rather than age effects, since age effect was a non-modifiable factor in terms of public health, although the age effect is a significant factor that influences smoking rate. In this study, the age effect results took into consideration the indicator characteristics and the possibility of measurement error in the self-reported survey was evaluated, which differed from other previous studies.