Background
The health effects of smoking and exposure to secondhand smoke (SHS) are major global public health issues. The World Health Organization reported that tobacco use in the 20th century resulted in 100 million deaths worldwide [
1], and this number is projected to increase to 1 billion deaths in the 21
st century. China is the most important battleground in the struggle against tobacco use globally, and it is both the world’s largest producer and consumer of tobacco products. China is home to an estimated 301 million current smokers in 2010, and the rising trends in tobacco consumption are alarming [
2]. The 2002 national survey reported that 51.9% of non-smokers in China were regularly exposed to SHS [
3]. Correspondingly, China also experiences a high incidence of tobacco-related diseases [
4]. A previous Chinese study indicates that a total of 673,000 deaths in Chinese adults were attributable to smoking in 2005 [
5], with cancer, cardiovascular disease, and respiratory disease accounting for most of these deaths. Smoking is highly prevalent, and its impact on premature death has become a major concern in China.
Only through understanding the major factors that contribute to smoking behavior can we hope to design and execute effective tobacco control policies. There is growing evidence that patterns of smoking are related to age, sex, socioeconomic status (SES), and health risk behavior [
6‐
8]. People who are less educated, who earn less, and who are unemployed show higher prevalence rates of smoking in developed countries. An inverse relationship between educational attainment and the risks of environmental tobacco exposure was also identified in previous Chinese and Korean studies [
9,
10]. In China, several studies have examined the relationship between smoking and SES variables in the general adult Chinese population [
10‐
12], and show an inverse association between education and smoking. However, little data are available concerning the associations between SES variables and tobacco use in the Chinese tobacco-cultivating adult population. It is crucial that we understand the socioeconomic factors related to tobacco use and identify target populations for tobacco control. Furthermore, the epidemiological studies conducted in China have focused mostly on urban areas or national-level data, but the literature is still sparse in tobacco-cultivating rural areas, where the rate of tobacco consumption is the highest.
The aim of this study is to describe the patterns and socioeconomic influences of tobacco use among southwest China’s tobacco-cultivating rural adult population from 2010 to 2011.
Results
A total of 8,800 individuals aged ≥18 years were invited to participate in this study. Of these, 8,681 agreed to participate (response rate = 98.6%).
As shown in Table
1, the study population included 4,068 males and 4,631 females, 22.3% of which belonged to an ethnic minority, and 77.7% of which were Han Chinese. The proportion of participants who engaged in tobacco cultivation was 28.1%. Male participants had higher educational level than female participants (P<0.05).
Table 1
Demographic characteristics of the study population
Age |
18-34 years | 1078 (26.5) | 1099 (23.8) | 2177 (25.1) |
35-44 years | 864 (21.2) | 923 (20.0) | 1787 (20.6) |
45-54 years | 702 (17.3) | 850 (18.4) | 1552 (17.9) |
55-64 years | 666 (16.4) | 843 (18.3) | 1509 (17.4) |
≥65 years | 758 (18.6) | 898 (19.5) | 1656 (19.1) |
Tobacco cultivating |
Yes | 1267 (31.1) | 1176 (25.5) | 2443 (28.1) |
No | 2801 (68.9) | 3437 (74.5) | 6238 (71.9) |
Ethnicity |
Han | 3226 (79.3) | 3516 (76.2) | 6742 (77.7) |
Minorities | 842 (20.7) | 1097 (23.8) | 1939 (22.3) |
Level of education |
Primary (grade 1–6) or lower | 3402 (83.6)* | 4107 (89.0)* | 7509 (86.5) |
Middle ((grade 7–9) or higher | 666 (16.4) | 506 (11.0) | 1172 (13.5) |
Level of yearly household income†
|
Low | 856 (21.0) | 1096 (23.8) | 1952 (22.5) |
Medium | 2285 (56.2) | 2701 (58.6) | 4986 (57.4) |
High | 927 (22.8) | 816 (17.7) | 1743 (20.1) |
Table
2 describes weighted prevalence of current smokers, nicotine dependence, and exposure to SHS by age, sex and tobacco-cultivating status among southwest China’s rural adult population. The overall prevalence rates of current smokers and exposure to SHS were 33.7% and 74.2% respectively, and the rate of nicotine dependence among smokers was 84.8%. In general, men reported much higher rates of smoking and nicotine dependence than women (P<0.01), whereas women reported higher rate of exposure to SHS than men (P<0.05). The highest rates of current smokers, exposure to SHS, and nicotine dependence were found among individuals aged 35–44 years. Individuals who cultivated tobacco had higher prevalence rates of current smoking, exposure to SHS, and nicotine dependence than non-tobacco cultivating people (P<0.01).
Table 2
Weighted prevalence of current smoking, nicotine dependence, and secondhand smoke (SHS) by age, sex and status of tobacco cultivation
Age |
18-34 years | 63.3 (60.3-66.0) | 0.5 (0.1-0.8) | 31.3 (29.5-33.9) | 82.0 (79.8-85.5) | 48.8 (9.45-90.6) | 82.3 (58.6-86.0) | 70.8 (65.6-74.6) | 76.9 (74.9-79.9) | 74.7 (73.4-77.7) |
35-44 years | 76.7 (73.7-79.3) | 0.9 (0.2-1.0) | 37.5 (35.1-40.6) | 86.1 (83.6-88.8) | 74.6 (30.1-95.4) | 87.0 (64.2-90.3) | 73.0 (65.7-78.0) | 80.1 (78.1-83.2) | 78.7 (76.7-81.5) |
45-54 years | 74.0 (70.9-77.3) | 1.0 (0.6-2.1) | 34.4 (31.8-36.5) | 88.1 (84.2-89.9) | 89.3 (56.5-98.0) | 87.8 (78.3-96.2) | 70.2 (63.7-76.9) | 81.3 (77.9-84.3) | 80.1 (76.4-82.4) |
55-64 years | 70.1 (66.1-73.0) | 1.1 (0.4-1.6) | 31.0 (28.9-33.6) | 84.9 (81.8-88.3) | 85.4 (48.7-97.4) | 85.2 (68.2-94.7) | 68.8 (59.1-74.0) | 77.3 (73.1-79.9) | 75.4 (71.3-77.7) |
≥65 years | 59.0 (56.1-63.1) | 1.6 (1.0-2.8) | 28.4 (26.1-30.4) | 83.8 (80.7-87.4) | 58.7 (35.8-80.2) | 83.5 (67.1-83.5) | 67.2 (65.9-76.0) | 64.1 (62.0-68.3) | 65.3 (64.1-69.4) |
Tobacco cultivating |
Yes | 78.0 (75.1-79.7) | 1.7 (0.5-1.7) | 43.0 (38.7-45.6) | 89.1 (86.5-91.4) | 89.2 (59.6-98.2) | 89.0 (84.5-90.4) | 82.3 (77.2-86.1) | 86.0 (83.3-87.8) | 85.1 (82.9-87.6) |
No | 63.9 (62.4-65.9) | 0.7 (0.6-1.2) | 28.9 (28.2-30.4) | 82.7 (81.4-84.9) | 67.1 (47.8-81.4) | 82.8 (81.0-84.7) | 66.2 (63.8-69.7) | 72.1 (71.4-74.4) | 70.6 (69.2-72.8) |
All | 68.5 (66.9-69.7) | 1.3 (0.8-1.6) | 33.7 (31.5-35.5) | 85.2 (83.7-86.4) | 72.7 (57.0-84.6) | 84.8 (83.1-86.3) | 70.5 (67.6-72.6) | 76.6 (74.8-77.8) | 74.2 (73.1-75.9) |
Table
3 displays patterns of tobacco exposure among study participants. Filtered cigarette smoking was the most popular form of smoking tobacco, comprising 66.5% of all forms of tobacco consumed, followed by Hookah / Water pipe (57.7%). However, there were important differences in these findings by sex. Filtered cigarette smoking was the most popular form of smoking tobacco for men, whereas hookah / Water pipe was the most popular form of smoking tobacco for women. Age of smoking initiation occurred mostly during adolescence (84.5%). 51.9% of current smokers reported daily smoking of more than 10 cigarettes. A total of 6.8% of current smokers were highly nicotine addicted. In the 12 months before the survey, only 13.2% of smokers tried at least one attempt to quit smoking. In the past seven days, 81.1% of smokers smoked in public places (82.0% for men, and 16.2% for women); 77.6% smoked in workplace (78.3% for men, and 27.0% for women); 33.9% smoked in front of a pregnant woman (40.2% for men, and 11.3% for women); and 84.6% smoked in front of children while in indoor places (82.1% for men, and 74.1% for women).
Table 3
Patterns of tobacco exposure among current smokers in rural areas of Yunnan province, China
Use of various forms of tobacco+
|
Filtered cigarettes | 1718 (61.8) | 16 (43.2) | 1734 (61.6) |
Hookah / Water pipe | 1447 (52.1) | 22 (59.5) | 1469 (52.1) |
Pipe tobacco | 137 (4.9) | 5 (13.5) | 142 (5.0) |
Hand-rolled cigarettes | 137 (4.9) | 1 (2.7) | 138 (4.9) |
Unfiltered cigarettes | 103 (3.7) | 0 (0.0) | 103 (3.7) |
Chewing tobacco | 31 (1.1) | 0 (0.0) | 31 (1.1) |
Age of smoking initiation |
<=11 years | 97 (3.5) | 2 (5.4) | 99 (3.5) |
12-20 years | 2257 (81.2) | 26 (70.2) | 2283 (81.0) |
21-34 years | 405 (14.6) | 5 (13.5) | 410 (14.6) |
>=35 years | 21 (0.8) | 4 (10.8) | 25 (0.9) |
Previous quit attempts |
At least one attempt in previous 12 months | 368 (13.2)* | 3 (8.1)* | 371 (13.2) |
No attempt | 2412 (86.8) | 34 (91.9) | 2446 (86.8) |
Amount of smoking per day (cigarettes) |
<10 | 1323 (47.6)* | 33 (89.2)* | 1356 (48.1) |
>=10 | 1457 (52.4) | 4 (10.8) | 1461 (51.9) |
Nicotine dependence |
High or very high dependence (score 6–10) | 189 (6.8) | 2 (5.4) | 191 (6.8) |
Medium dependence (score 5) | 225 (8.1) | 3 (8.1) | 228 (8.1) |
Low or very low dependence (score less than 5) | 2366 (85.1) | 32 (86.5) | 2398 (85.1) |
In the past seven days, the conditions under which others have smoked in front of you |
Public spaces (schools, hospitals, etc.) | 2280 (82.0)** | 6 (16.2)** | 2286 (81.1) |
Workplace (labor field) | 2176 (78.3)** | 10 (27.0)** | 2186 (77.6) |
In front of a pregnant woman while in indoor places ++
| 331 (40.2)** | 2 (11.3)** | 351 (33.9) |
In front of children while in indoor places +++
| 1657 (82.1) | 20 (74.1) | 1677 (84.6) |
We found no association between any SES indicators and the intensity of smoking. Table
4 shows the results of logistic regression for prevalence of current smokers, nicotine dependence, and exposure to SHS after adjusting for possible confounders. After adjusting for age, sex, tobacco cultivation, drinking status, and type of county, as well as further adjusting for other measures of SES, individuals who belong to an ethnic minority had a lower probability of nicotine dependence and of being exposed to SHS. Individuals with higher levels of education had a lower probability of current smoking, exposure to SHS, and nicotine dependence. Furthermore, higher yearly household incomes were found to be associated with a higher risk of nicotine dependence, but not with current smoking or SHS exposure. Individuals who cultivated tobacco had a higher probability of current smoking, exposure to SHS, and nicotine dependence. Although we tested for possible interactions, there were no significant interactions between sex and SES variables.
Table 4
Weighted Logistic regression coefficients for current smoking, nicotine dependence and exposure to secondhand smoke (SHS) by ethnicity and socioeconomic status
Ethnicity (reference: Han) |
Minorities | 0.93 | (0.79, 1.10) | 0.79** | (0.69, 0.95) | 0.84** | (0.74, 0.95) |
Level of education (reference: primary (grade 1–6) or lower) |
Middle (grade 7–9) or higher | 0.63** | (0.51, 0.78) | 0.56** | (0.46, 0.65) | 0.51** | (0.43, 0.61) |
Level of yearly household income (reference: Low) |
Medium | 1.08 | (0.97, 1.20) | 1.16* | (1.04, 1.31) | 1.06 | (0.93, 1.11) |
High | 1.05 | (0.93, 1.18) | 1.11* | (1.02, 1.19) | 1.00 | (0.90, 1.06) |
Tobacco cultivating (reference: no) |
Yes | 3.18** | (2.77, 3.65) | 2.42** | (2.12, 2.77) | 1.35** | (1.17, 1.55) |
Discussion
The findings indicate a high prevalence of smoking, and a high prevalence of exposure to SHS among non-smokers. There was also a high rate of SHS exposure among current smokers in public places, and a low rate of attempting to quit smoking among current smokers in rural southwest China. Individual SES was found to be independently associated with the prevalence of current smoking, exposure to SHS, and nicotine dependence.
It has been estimated that worldwide, men smoke more than women. Our finding is in concordance with other studies [
16]. In this study, the prevalence of smoking among men was greater than the prevalence rate observed in 2010 China Global Adults Tobacco Survey (GATS, 56.1%) [
17], other parts of rural China (66.8%) [
10], adults from western countries [
7,
8], and other Asian and African people [
18‐
20]. Smoking has been very prevalent in the Chinese tobacco cultivating rural male population. In contrast to the high prevalence of smoking, our study reported a low prevalence of smokers who have previously attempted to quit smoking (18.2%), a rate that was much lower than reported by the 2010 China GATS survey (33.1%), in other cities of China (25.3%) [
21], and in other western countries (40%) [
22]. These data indicate that rural communities are in need of robust smoking cessation programs.
Several previous Chinese studies indicate that most Chinese smokers initiate smoking during adolescence, and the prevalence of adolescent smoking has been increasing rapidly in China [
23,
24]. Our study is consistent with these prior studies, and demonstrates that over 80% of smokers start smoking during adolescence. These findings underscore an urgent need for tobacco control strategies in rural China for adolescents and young adults who are at high risk for becoming addicted to nicotine.
As shown in other Chinese studies, smoking cigarettes was the most popular form of tobacco use in rural southwest China [
10,
25]. Furthermore, we found that consuming tobacco through hookah / water pipes was also common in the tobacco–cultivating, ethnically diverse, rural communities. Our findings indicate that cultural forces exert a strong effect on smoking habits, as has been demonstrated in previous studies [
26].
Our study showed a high rate of exposure to SHS among current smokers, particularly in public places. The rate of exposure to SHS in public places observed in this study (81.1%) is much higher than the China national survey results of 2002 (67.0%) [
3], as well as results from another Chinese study (72.7%) [
27], indicating public places have become the worst places for SHS exposure in rural southwest China. Furthermore, our study showed that exposure to SHS among current smokers in households mostly occurred in front of children and pregnant women. While smoking among women in the study region was at a much lower level compared with men, over 75% of women were exposed to SHS, and the rate of exposure to SHS among women was higher than among men, indicating exposure to SHS is a serious health problem for women. The impact of SHS exposure on children’s and women’s health requires urgent attention. Evidence has shown that the implementation of comprehensive smoke-free policies decreases the exposure to SHS and its associated health hazards in non-smokers [
28]. These results suggest it is essential to strengthen people’s awareness of tobacco hazards and to implement comprehensive smoke-free laws and legislations to protect people from SHS.
Our study found individuals who cultivated tobacco had higher prevalence rates of current smoking, exposure to SHS, and nicotine dependence than non-tobacco-cultivating people. This is possibly due to tobacco farmers having easier access to tobacco products. These results suggest tobacco cultivating status is an important consideration when developing tobacco control policies in rural China.
Ethnic minorities had a lower risk for exposure to SHS and nicotine dependence in this study. Genetic heritability and shared environmental influences have been reported to be related to cigarette smoking in a previous study [
29]. This finding suggests that ethnicity is an important determinant for tobacco use.
Lower levels of education have been shown to be associated with higher risks of smoking, environmental tobacco exposure, nicotine dependence, and lower rates of quitting tobacco use, both in developed and developing countries [
8,
9,
30]. In the present study, smoking, exposure to SHS, and nicotine dependence tended to be more prevalent in people who were less educated. Our result is in concordance with prior studies. Some previous Chinese studies also indicated an inverse association between education and smoking [
2,
11,
12,
18]. Our findings suggest community-based tobacco control efforts need to increase the knowledge related to harm of tobacco use among people with low levels of education.
While several western studies have demonstrated that people with lower incomes are more likely to consume tobacco [
6‐
9], our study showed no association between individual income and smoking or exposure to SHS in the Chinese rural adults. However, it did show a positive relationship between individual income and nicotine dependence. A previous Chinese study reported that people with higher annual income were more likely to smoke than those with lower income [
18]. The reasons for an inconsistent association between income and smoking rates in Chinese adult smokers are unknown.
A strength of our study is the large sample size and the high response rate (over 98%) in the community survey. A limitation of the study is that smoking was self-reported and exposure to SES was based on recall. The lack of validation of smoking status with nicotine testing may underestimate the prevalence of smoking.
Competing interests
The authors declare that they have no conflicts of interest.
Authors' contributions
CL carried out the study and drafted and revised the manuscript. WX and HY participated in the design of the study. AG participated in the design of the study and helped to revise the manuscript. CW, XX, HJ, ZK, SY, and JF collected the data. All authors read and approved the final manuscript.