INTRODUCTION

It is widely known that smoking is an important risk factor associated with several diseases and death. According to World Health Organization (WHO), more than five million people have died every year due to the smoking-related diseases worldwide, and if this trend continues at this pace, more than eight million people worldwide are expected to die every year due to smoking in 2030 [1].

In particular, the effect of smoking on adolescents outweighs that on adults. It is more common for the adolescents who smoke daily to have physical symptoms such as headache, cough, abdominal pain, and sleeping problem compared to non-smoking adolescents [2]. In addition, as the cell division in the lungs is active in adolescence, the tobacco toxins affect cell division, increasing the carcinogenicity. Furthermore, the adolescents who started smoking earlier have higher chance of DNA damage risk, which increases the probability of lung cancer development in the future when they become adults [3]. In addition to the influence on physical health, adolescent smoking has been known to be highly relevant to the use of alcohol or other drugs, dangerous sexual behaviors, and violence by affecting mental health [4]. It is also reported that experiencing or starting smoking during adolescence can lead to smoking in adulthood, indicating that the smoking habits formed in adolescence are not easy to be corrected [5]. Therefore, attentions and efforts should be made for the smoking prevention and cessation of adolescents at the national level.

Meanwhile, even though the overall public health status has improved, there still exists health status difference among regions [6]. Several studies on the difference of health status in the communities have reported that the socio-environmental nature is related to the individual health status. Robert [7] reported that not only the socio-economic status of individuals and families, but also that of communities influences the health status of individuals. In addition, Kim and Lee [6] reported that the mortality and the causes of death vary depending on the ecological environment of the regions (metropolitan city, small town, rural areas, mountainous areas and coastal areas).

According to the researches in Korea, the income disparity between the urban and rural areas has been expanding rapidly since the mid-1990s, and this has resulted in the increased disparity across all sectors of society including healthcare, transportation, communications, education, and culture [8]. In a situation where the inequality between the urban and rural areas exists and the gap is widening, there might be difference in the health status and health behavior of adolescents between the urban and rural areas, given that the socio-environmental status of the communities is related to the health status.

The studies in Korea found that the smoking rate of rural high school students is higher than that of urban high school students [9]. In addition, an analysis of indicators of adolescent smoking in metropolitan cities, small towns and rural areas showed that the smoking experience rate and smoking experience rate before 13 years of age for rural areas are significantly higher than those for urban areas [10]. However, the studies in Korea so far have limitations in that they have compared the smoking rate between the urban and rural areas on a cross-sectional basis. While several studies on the smoking trend of adolescents in urban and rural areas have been reported in other countries [11-13], there is no study on the trend of indicators of adolescent smoking in urban and rural areas in Korea.

This study, therefore, aims to compare the trend of indicators of adolescent smoking by dividing the regions into metropolitan cities, small towns and rural areas. It also provides the basic information to set the policy direction of smoking prevention and cessation for the adolescents by comparing the trend of smoking indicators by region.

METHODS

I. Study Subjects

In this study, the raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) for 5 years from 2005 to 2009 were used. The KYRBWS first grouped the City, Gun, and Gu within the 16 provinces into metropolitan cities, small towns and rural areas, and subdivided them into strata using detailed regional groups and schools (middle school, general high school, and vocational high school) as a stratification variable, and then set the school as a primary sampling unit, and the division as a secondary sampling unit, using two-stage cluster sampling. The survey was conducted for approximately 65 000 students from the first grade of middle school to the second grade of high school in 2005, which is the first survey year, and for approximately 80 000 students from the first grade of middle school to the third grade of high school from 2006 to 2009 every year. Participation rates for each survey year from 2005 to 2009 were 89.7%, 90.9%, 94.8%, 95.1%, and 97.6%, respectively [14].

II. Study Methods

The KYRBWS was conducted in a self-administered online survey with guaranteed anonymity in the school computer lab, where the internet was connected. As a means of conducting the survey, email was used in 2005, and the certificate number was used from 2006.

When selecting smoking indicators, two factors were considered: the availability of analyzing the 5 year trend considering the degree of changes in the questioning methods and the contents of the questionnaire items; and the representativeness that can identify the current smoking status of adolescents including whether they are currently smoking or not, smoking frequency, amount of smoking, and the time of first exposure to smoking. Based on these consideration, four indicators - 'current smoking rate', 'smoking rate of more than 20 days a month', 'smoking rate of more than 10 cigarettes a day', and 'smoking experience rate before 13 years of age' - were selected and analyzed.

'Current smoking rate' represents the proportion of current smokers among all subjects, and 'smoking rate of more than 20 days a month' represents the proportion of the frequent smokers among the adolescents. 'Smoking rate of more than 10 cigarettes a day' is the indicator for heavy adolescent smoker [15]. 'Smoking experience rate before 13 years of age' is the indicator of the adolescents who have experienced smoking in their early ages.

Each indicator was defined as follow: 'current smoking rate' is the percentage of students who smoked cigarettes on one or more of the past 30 days; 'smoking rate of more than 20 days a month' is the percentage of students who smoked cigarettes on 20 or more of the past 30 days; 'smoking rate of more than 10 cigarettes a day' is defined for the period between 2005 and 2008 as the percentage of students who smoked more than 10 cigarettes per day on the days they smoked during the past 30 days, and for 2009, it is defined as the percentage of students who smoked more than 10 cigarettes a day on average during the past 30 days. 'Smoking experience rate before 13 years of age' is defined as the percentage of students who smoked cigarette for the first time before 13 years of age [14].

The trend of four smoking indicators was compared according to the size of residing areas. The residing areas were divided into three regions and analyzed according to the sampling frame of the KYRBWS, which was stratified by classifying the population into metropolitan cities, small towns and rural areas.

III. Data Analysis

The KYRBWS was designed as a complex sample, and a complex survey data analysis considering stratification, cluster, weight, etc. was employed in its analysis. For the analysis of yearly trend, the smoking indicators were analyzed with logistic regression by setting the time variables as independent variable and smoking indicators as the dependent variable to see if the smoking indicators have the form of a linear trend. Since smoking indicators were significantly different in their distribution between male and female, all analyses were performed by stratifying them into male students and female student. In addition, as they became higher grade, they could not recall exactly when they first smoked, so the 'smoking experience rate before 13 years of age' was analyzed only for the first grade students of middle school. Furthermore, because the third grade students of high school were excluded from the first survey, the analysis was made by adjusting grade. All statistical analyses were performed using SAS version 9.2 (SAS Inc., Cary, NC, USA), and the significance test was carried out at p <0.05, and p values between 0.05 and 0.1 were considered as the borderline level of significance.

RESULTS

The distribution of the subjects by region, year, and gender is shown in Table 1. The total number of subjects residing in rural areas for 5 years was 48655 (6.6%), that in small towns was 122 493 (40.2%), and that in metropolitan cities was 183 482 (53.2%), showing that the proportion of students residing in metropolitan cities was the highest.

The annual figures of smoking indicators for each region and 95% confidence interval are presented in Table 2, and diagrammed in Figure 1 and Figure 2. The result of logistic regression, which was adjusted for grade to analyze the trend of adolescent smoking indicators, is shown in Table 3.

'Current smoking rate' of male students in rural areas showed a trend of significant increase from 16.1% in 2005 to 21.6% in 2009 (p=0.009), whereas the male students of small towns and metropolitan cities and female students in rural areas did not show a statistically significant trend. The current smoking rate of female students in small towns has significantly decreased from 9.5% in 2005 to 7.5% in 2009 (p=0.001), and that of female students in metropolitan cities also decreased significantly from 8.5% in 2005 to 7.5% in 2009 (p=0.007).

'Smoking rate of more than 20 days a month' showed a trend of significant increase in the male students in rural areas from 7.3% in 2005 to 14.5% in 2009 (p<0.001), and that of male students in metropolitan cities also showed a significantly increasing trend from 6.4% in 2005 to 11.1% in 2009. The regression coefficient of rural areas was 0.154 and that of metropolitan cities was 0.092, indicating that the male students in rural areas showed more steeply increasing trend. The female students did not show a statistically significant trend in all three regions.

Although there was no group showing a statistically significant trend in the 'smoking rate of more than 10 cigarettes a day', the male students in rural areas showed an increasing trend at a borderline significance level from 3.1% in 2005 to 6.2% in 2008 and to 5.3% in 2009 (p=0.070), and the male students in small towns showed a decreasing trend at a borderline significance level from 2.7% in 2005 to 4.8% in 2006 and to 3.8% in 2009 (p=0.066).

In 'smoking experience rate before 13 years of age' of the first grade students in middle school, the male students in metropolitan cities showed a decrease at the borderline significance level from 14.7% in 2005 to 11.6% in 2009 (p=0.054), whereas the female students in rural areas showed a statistically significantly decreasing trend from 12.0% in 2005 to 6.9% in 2009 (p=0.021). The female students in metropolitan cities showed a decreasing trend at a borderline significance level from 10.3% in 2005 to 8.1% in 2009 (p=0.067).

DISCUSSION

This study sought to analyze the trend of smoking indicators of adolescents in the most recent 5 years based on rural areas, small towns, and metropolitan cities, which are different in their physical, socio-cultural environment. At the national level, the National Survey on Smoking Status of Middle and High School Students has been conducted by Korean Association of Smoking and Health and Yonsei University's Graduate School of Public Health since 1988. However, the figures from the unstable smoking rates make it difficult to observe a certain pattern, and the sample size is too small for detailed analysis. There are also problems with reliability and weight measuring because the research was commissioned to each participating school. In addition, a health related survey containing the smoking status of adolescents has been conducted as part of the Korea National Health and Nutrition Examination Survey. However, the survey has had a problem, in that the smoking rates were too low because the survey has been conducted by students with their parents accompanied [15]. To identify adolescent health status, Korea Centers for Disease Control and Prevention has been calculating youth health indicators representing Korea by performing KYRBWS since 2005. The KYRBWS stratified the population considering region and school (middle school, general high school, and vocational high school) to minimize sampling error, and extracted the sample by applying the proportional allocation method to match the population composition and sample composition. In addition, the survey has a sufficient sample size and its participation rate is also very high because it uses approximately 80 000 adolescents each year. Therefore, the KYRBWS can be considered a representative survey of the health status of adolescents in Korea [14].

The results of this study revealed that the smoking indicators of male students in rural areas are in an increasing trend. 'Current smoking rate' of the male students in rural areas was significantly increased. While 'smoking rate of more than 20 days a month'showed significantly increasing trend in male students both of rural areas and metropolitan cities, the increasing trend in male students of rural areas was steeper. 'Smoking rate of more than 10 cigarettes a day' of male students in rural areas showed an increasing trend, although it was not statistically significant. However, the questionnaire item for asking 'smoking rate of more than 10 cigarettes a day' changed from 'how many cigarettes have you smoked on average on the day you smoked during the past 30 days' in the period between 2005 and 2008 to 'how many cigarettes have you smoked a day on average during the past 30 days' in 2009. Therefore, the 'smoking rate of more than 10 cigarettes a day' in 2009 was underestimated compared to the rate using previous questionnaire item. Given this change, even though the 'smoking rate of more than 10 cigarettes a day' of male students in rural areas showed a borderline significance level with the p value of 0.070, it was most likely to increase significantly. Therefore, it is thought that the students in rural areas showed a statistically significant increasing trend in 'current smoking', 'smoking rate of more than 20 days a month', and 'smoking rate of more than 10 cigarettes a day'. In addition, the 'smoking experience rate before 13 years of age' of the first grade students of middle school was higher in rural areas than urban areas, although the male students did not show any statistically significant trend.

In the case of female students, 'current smoking rate' showed a significant decrease in both small towns and metropolitan cities, but the 'smoking experience rate before 13 years of age' showed a significantly decreasing trend in rural areas, indicating that the smoking indicators did not show any consistent trend by region. This result suggests that even similar social environment may affect differently on male and female students. Several studies found that the behaviors of male and female students on smoking vary [16-21]. Mistry et al. [18] said that male students have tendency to relieve stress by smoking or using drugs, while female students tend to have inappropriate eating habits or not to go out. In addition, Lee [22] found that male students have a tendency to think the smoking friends and the peoples smoking in TV or magazines to be cool, compared to female students. Therefore, it will be necessary for the future studies analyzing smoking status of adolescent and related factors to stratify it into male and female students.

Most studies on the adolescent smoking in Korea have conducted with limitations, focusing on a single area, either urban or rural region [20,21,23], and there are not many studies comparing the smoking status by region. Shin et al. [9] found that the smoking rate of students in rural areas were significantly higher than that of urban areas. Park [10] reported that the smoking experience rate and smoking experience rate before 13 years of age in rural areas were higher than those of urban areas. Studies of foreign countries indicated that the result varied depending on the countries where the studies were conducted [11-13,24,25]. It is thought that these different results may be due to the fact that each country has the social and cultural difference, and the smoking policies are different in their strength or direction.

The results of this study, which show the increasing trend of smoking indicators in rural areas, can be estimated through the factors that are related with adolescent smoking. As a first factor, stresses can affect the adolescent smoking. Among others, the socioeconomic stress, or the poor economic conditions and living environment stress can influence adolescent smoking [26]. Yu et al. [23] reported that if the adolescents are in poorer economic condition, the smoking rate is higher, and the adolescents of broken families had higher smoking rate than those of normal families. In the early 1960s, and from 1974 until the end of the 1980s, farm income was higher than urban worker income level. However, since the income of urban household has exceeded the farm income in 1989, its disparity has been expanding. Particularly after the financial crisis in 1997, the average income gap has continuously expanded, putting the farm income at 80% of urban household income in 2000 and 73% in 2002 [8]. In 2008, the average farm income was 30.52 million won, making the ratio of farm income to urban household income 65.3%, indicating that the disparity between urban and rural areas has been widening [27]. It was found that the socioeconomic condition, family wealth index, and educational level of parents also poorer in the students of rural areas compared to the urban areas [28]. Therefore, the increasing trend of adolescent smoking rate in rural areas can be largely attributed to the rural and urban disparities in socioeconomic status.

Second, the parent's smoking status can largely influence on adolescent smoking. Several studies in other countries reported that parental smoking can be related to adolescent smoking [29-31], and the studies in Korea also found that the smoking rate of adolescents having smoking parent is higher [20,21]. According to the smoking rate of adults over the age of 20 released by Statistics Korea, Dong area, which is part of urban area, showed a decreasing trend from 29.3% in 2003 to 27.5% in 2006 and to 25.8% in 2008. However, Eup-Myeon area, which is part of rural area, showed 29.3% in 2003, 26.5% in 2006, and 28.2% in 2008, inferring that the smoking rate of the parents in rural areas is relatively increasing compared to that of urban areas [32-34]. In addition, Lee and Park [35] reported that 10% of motivation for smoking of children in rural areas is explained by the stimulus by adults including father, and 18.6% was explained by adults including father for the source of cigarettes. This indicates that the rural areas are more generous or have weaker regulation for adolescent smoking, and the adolescent smoking is largely affected by the attitude of parents or the adults toward smoking.

Third, the smoking friends also affect adolescent smoking [23]. Lee's study found that the adolescents having friends who smoke are likely to smoke 14.8 times more than the adolescents who do not have friends who smoke [20]. According to the study of rural adolescents, while 41.3% of the students in urban areas are taking extra class for more than three hours after school, 61.9% and 67.2% of the students in the suburban and rural areas, respectively, did not take any extra class. It was also found that the adolescents who are reading or studying in rural areas are less than those in urban areas. Adolescents in rural areas have less time for hobby activities after school, and the proportion of time spending with friends for more than 3 hours is higher in urban areas [36]. While the students in urban areas spend their daily time in private institutions or unsupervised night learning after school, the students in rural areas have plenty of free time and fewer benefits of education, culture and leisure facilities. Therefore, they are more likely to have chances for smoking and drinking alcohol with their friends. In addition, it is thought that since they have a lot of time to spend with friends compared to the students in urban areas, they are more likely to be influenced by their friends. Therefore, as the number of adolescents who smoke increase, more adolescents follow their smoking friends, and thus, the smoking rate is more likely to rise steeply.

Finally, the results of this study suggest that self-esteem of adolescents is related to smoking. Choi et al. [21] reported that the adolescents with lower self-esteem had more experience of smoking. Park [37] also reported that smoking of high school students is associated with self-esteem. Meanwhile, studies on the adolescents in rural areas found that the adolescents in rural areas view themselves more negatively than the adolescents in urban areas [36], indicating that the negative self-consciousness of adolescents in rural areas also affect their smoking behaviors as a psychological factor.

The limitations of this study are as follows. It divided the areas based on administrative districts, thus did not reflect the exact nature of regions. In the case of small towns, there are many urban-rural complex cities. However, the study did not consider the difference between Eup-Myeon area which has the similar nature with rural area and Dong area, which has the nature of city. In addition, as the first period sample (2005 - 2007) changed into the second period sample (2008 - 2009), there was a problem of analyzing the exact trend due to the change in sample frame. Furthermore, because the KYRBWS is self-administered survey, there is a limitation of accuracy of the survey.

Despite these limitations, this study has significance because it is the only study on the trend of adolescent smoking by region in Korea using the national level of sample. Moreover, it has value because it is a study evaluating the trend through statistical analysis. Given that the gap of health status has widened as the socioeconomic and cultural disparity between urban and rural areas is currently worsening, the study result that the smoking indicators in rural areas is on the rise has significant implication. Based on the results of this study, further studies on a causal relationship between smoking in rural areas and the independent variables including socio-economic factors, which can affect adolescent smoking are necessary.

Since smoking in adolescence often precedes other drug abuse, such as alcohol or drug [38], it not only impacts the personal level of physical health, but also causes mental and social damages. In addition, because the adolescents are our future and will be the leaders of the society, the loss of the entire nation from adolescent smoking will be tremendous. Therefore, the prevention and cessation of smoking project cannot be overestimated.

The results of this study showed that the smoking indicators of male students in rural areas have been increasing trend for the last 5 years. It is believed that a focus should be placed on reducing the smoking rate of students in rural areas when implementing the project of smoking prevention and cessation. In addition, it is necessary to take into account the regional conditions when evaluating adolescent smoking prevention and cessation, and to establish a policy for smoking prevention and cessation which is efficient and applicable depending on the characteristics of regions.

Notes

The authors have no conflicts of interest with the material presented in this paper.

This article is available at http://jpmph.org/.

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Figure 1

Five year trends of smoking indicators for male by region.

Figure 2

Five year trends of smoking indicators for female by region.

Table 1.

Distribution of study participants by region, survey year and sex n (%)

Year	Sex	Rural area	Small town	Metropolitan city	Total
2005	Male	4465 (8.0)	9877 (39.2)	15532 (52.8)	29874 (100.0)
	Female	4230 (8.0)	9838 (39.6)	14282 (52.4)	28350 (100.0)
	Subtotal	8695 (8.0)	19715 (39.4)	29814 (52.6)	58224 (100.0)
2006	Male	5590 (8.1)	12224 (39.8)	19390 (52.2)	37204 (100.0)
	Female	5105 (7.9)	11981 (40.4)	17114 (51.7)	34200 (100.0)
	Subtotal	10695 (8.0)	24205 (40.1)	36504 (51.9)	71404 (100.0)
2007	Male	5658 (6.6)	13497 (41.8)	20311 (51.6)	39466 (100.0)
	Female	4788 (6.5)	12172 (42.2)	18272 (51.3)	35232 (100.0)
	Subtotal	10446 (6.5)	25669 (42.0)	38583 (51.5)	74698 (100.0)
2008	Male	4926 (5.4)	13722 (39.4)	20630 (55.2)	39278 (100.0)
	Female	4521 (5.3)	12775 (39.7)	18664 (55.0)	35960 (100.0)
	Subtotal	9447 (5.4)	26497 (39.5)	39294 (55.1)	75238 (100.0)
2009	Male	4796 (5.4)	13802 (39.9)	21014 (54.7)	39612 (100.0)
	Female	4576 (5.3)	12605 (40.2)	18273 (54.5)	35454 (100.0)
	Subtotal	9372 (5.3)	26407 (40.0)	39287 (54.6)	75066 (100.0)
Total		48655 (6.6)	122493 (40.2)	183482 (53.2)	354630 (100.0)

Table 2.

Prevalence and 95% confidence interval of indicators of smoking by region, survey year and sex

	Current smoking rate1	Frequent smoking rate2	Heavy smoking rate3	Smoking experience rate before 13 years of age4
Male
Rural area
2005	16.1 (14.1 - 18.1)	7.3 (5.7 - 8.9)	3.1 (2.1 - 4.0)	20.8 (17.8 - 23.8)
2006	15.9 (13.7 - 18.0)	8.2 (6.5 - 9.9)	3.9 (2.9 - 4.9)	17.0 (13.3 - 20.8)
2007	19.3 (16.4 - 22.2)	11.3 (9.3 - 13.4)	5.6 (4.3 - 6.8)	17.6 (14.1 - 21.2)
2008	21.6 (18.2 - 25.1)	13.4 (10.5 - 16.4)	6.2 (4.6 - 7.8)	18.4 (14.8 - 22.1)
2009	21.6 (17.6 - 25.6)	14.5 (11.2 - 17.9)	5.3 (3.4 - 7.1)	17.9 (15.2 - 20.6)
Small town
2005	14.7 (13.0 - 16.3)	6.5 (5.3 - 7.8)	2.7 (2.0 - 3.4)	14.8 (12.9 - 16.7)
2006	17.1 (15.0 - 19.3)	9.3 (7.6 - 11.0)	4.8 (3.9 - 5.8)	13.2 (10.7 - 15.7)
2007	18.7 (16.7 - 20.6)	11.0 (9.2 - 12.8)	4.7 (3.7 - 5.6)	13.4 (11.6 - 15.3)
2008	16.9 (15.1 - 18.6)	10.4 (8.9 - 12.0)	3.5 (2.8 - 4.1)	12.9 (10.9 - 14.8)
2009	17.3 (15.5 - 19.1)	10.7 (9.1 - 12.3)	3.8 (3.1 - 4.5)	12.7 (10.6 - 14.7)
Metropolitan city
2005	13.8 (12.6 - 15.0)	6.4 (5.5 - 7.3)	3.0 (2.5 - 3.5)	14.7 (12.9 - 16.4)
2006	15.1 (13.9 - 16.4)	8.0 (7.0 - 9.0)	3.6 (3.0 - 4.1)	11.6 (10.1 - 13.2)
2007	16.1 (14.9 - 17.2)	9.1 (8.0 - 10.1)	4.0 (3.4 - 4.5)	12.8 (11.5 - 14.2)
2008	16.3 (14.9 - 17.7)	10.6 (9.4 - 11.8)	4.2 (3.6 - 4.8)	12.9 (11.5 - 14.2)
2009	17.1 (15.7 - 18.6)	11.1 (9.8 - 12.4)	4.4 (3.7 - 5.0)	11.6 (10.2 - 12.9)
Female
Rural area
2005	8.9 (7.3 - 10.4)	2.7 (1.8 - 3.6)	0.9 (0.4 - 1.3)	12.0 (9.2 - 14.8)
2006	9.2 (7.3 - 11.1)	3.6 (2.3 - 4.9)	1.3 (0.7 - 2.0)	7.5 (5.4 - 9.5)
2007	10.2 (7.9 - 12.5)	5.4 (3.5 - 7.4)	2.1 (1.1 - 3.2)	9.9 (7.0 - 12.8)
2008	9.1 (7.3 - 10.8)	4.4 (3.2 - 5.5)	1.2 (0.7 - 1.7)	8.6 (6.4 - 10.8)
2009	8.8 (6.7 - 10.8)	4.6 (3.2 - 6.1)	1.1 (0.7 - 1.5)	6.9 (4.8 - 9.1)
Small town
2005	9.5 (8.3 - 10.7)	3.5 (2.6 - 4.3)	1.1 (0.8 - 1.5)	10.2 (8.4 - 12.1)
2006	9.3 (7.8 - 10.8)	4.1 (3.1 - 5.2)	1.6 (1.0 - 2.1)	7.5 (5.9 - 9.2)
2007	8.6 (7.5 - 9.7)	3.6 (2.9 - 4.3)	1.3 (1.0 - 1.7)	8.9 (7.4 - 10.5)
2008	8.2 (6.9 - 9.6)	4.3 (3.3 - 5.3)	1.2 (0.8 - 1.6)	8.4 (7.0 - 9.8)
2009	7.6 (6.4 - 8.8)	3.8 (3.0 - 4.7)	1.3 (0.9 - 1.8)	10.2 (8.1 - 12.2)
Metropolitan city
2005	8.5 (7.5 - 9.5)	3.2 (2.5 - 3.8)	1.4 (1.0 - 1.7)	10.3 (9.0 - 11.5)
2006	9.0 (7.7 - 10.3)	4.3 (3.4 - 5.3)	1.7 (1.2 - 2.2)	8.9 (7.8 - 10.1)
2007	8.8 (7.6 - 10.0)	4.1 (3.3 - 5.0)	1.4 (1.1 - 1.7)	9.2 (7.9 - 10.5)
2008	8.0 (6.9 - 9.2)	4.6 (3.6 - 5.5)	1.5 (1.2 - 1.9)	9.6 (8.5 - 10.8)
2009	7.5 (6.5 - 8.6)	4.0 (3.2 - 4.8)	1.6 (1.2 - 1.9)	8.1 (6.9 - 9.2)

¹ Percentage of students who smoked cigarettes on one or more of the past 30 days.

² Percentage of students who smoked cigarettes on 20 or more of the past 30 days.

³ Percentage of students who smoked more than 10 cigarettes per day on the days they smoked during the past 30 days.

⁴ Percentage of students who smoked cigarette for the first time before 13 years of age among 1st grade of middle school students.

Table 3.

Logistic regression coefficients of trend and p-value with adjusted grade

	Rural area	Small town	Metropolitan city
Current smoking rate1
Male	0.068 (0.009)	- 0.011 (0.626)	0.021 (0.211)
Female	- 0.041 (0.281)	- 0.095 (0.001)	- 0.073 (0.007)
Frequent smoking rate2
Male	- 0.154 (<0.001)	- 0.039 (0.192)	- 0.092 (<0.001)
Female	- 0.067 (0.239)	- 0.040 (0.370)	- 0.018 (0.664)
Heavy smoking rate3
Male	- 0.086 (0.070)	- 0.065 (0.066)	- 0.030 (0.282)
Female	- 0.021 (0.768)	- 0.062 (0.319)	- 0.040 (0.451)
Smoking experience rate before 13 years of age4
Male	- 0.034 (0.342)	- 0.040 (0.142)	- 0.045 (0.054)
Female	- 0.112 (0.021)	- 0.007 (0.856)	- 0.044 (0.067)

¹ Percentage of students who smoked cigarettes on one or more of the past 30 days.

² Percentage of students who smoked cigarettes on 20 or more of the past 30 days.

³ Percentage of students who smoked more than 10 cigarettes per day on the days they smoked during the past 30 days.

⁴ Percentage of students who smoked cigarette for the first time before 13 years of age among 1st grade of middle school students.

Figure & Data

References

Citations

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