| Literature DB >> 25514143 |
Yue Jin1, Ling Wang2, Bo Lu3, Amy K Ferketich4.
Abstract
Although previous studies have provided strong evidence that Chinese individuals are exposed to secondhand smoke (SHS) and lack knowledge of its harmful effects, there has not been an in-depth exploration of the variability in exposure and knowledge by geographic region, occupation, and socioeconomic status. The objectives of this study were to examine: (1) the demographic factors associated with the level of knowledge of the harmful effects of smoking; (2) the factors related to implementation of in-home and workplace smoking bans; and (3) geographic differences in being exposed to SHS in government buildings, healthcare facilities, restaurants, public transportations, and schools. We used data from the 2010 Global Adult Tobacco Survey-China. Chi-square tests were used for statistical analysis. The results suggested that among Chinese citizens age 15 years and older, there is poor knowledge of the harmful effects of tobacco, and knowledge varies with region and socioeconomic status. Over three-quarters of the households had no smoking restrictions, and a large percentage of workers reported working in places with no smoking ban. In public places, exposure to SHS was high, particularly in rural areas and in the Southwest. These results suggest Chinese individuals are not well informed of smoking and SHS associated risks and are regularly exposed to SHS at home, work and public places.Entities:
Mesh:
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Year: 2014 PMID: 25514143 PMCID: PMC4276649 DOI: 10.3390/ijerph111212835
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of study population by smoking status and gender.
| Characteristics | Current Smoker a (28.3%) | Non-smoker a (71.7%) | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male (95.8%) | Female(4.2%) | Total | Male(33.4%) | Female(66.6%) | Total | |||||||||||||||
| <0.001 * | <0.001 * | |||||||||||||||||||
| 15–34 Years | 30.3 | 7.7 | 29.4 | 47.7 | 36.0 | 39.9 | ||||||||||||||
| 35–44 Years | 28.0 | 25.0 | 27.8 | 17.7 | 25.0 | 22.6 | ||||||||||||||
| 45–59 Years | 29.0 | 32.8 | 29.2 | 17.6 | 23.3 | 21.4 | ||||||||||||||
| ≥60 Years | 12.7 | 34.5 | 13.6 | 17.0 | 15.7 | 16.1 | ||||||||||||||
| <0.001 * | <0.001 * | |||||||||||||||||||
| ≤Primary School | 22.0 | 59.4 | 23.5 | 18.6 | 34.0 | 28.9 | ||||||||||||||
| ≤Secondary School b | 44.8 | 24.0 | 44.0 | 39.1 | 36.2 | 37.2 | ||||||||||||||
| High School/Technical Secondary School b | 23.2 | 10.7 | 22.7 | 25.6 | 18.3 | 20.8 | ||||||||||||||
| ≥College | 10.0 | 5.9 | 9.8 | 16.7 | 11.4 | 13.2 | ||||||||||||||
| 0.196 | 0.226 | |||||||||||||||||||
| Urban | 42.4 | 50.8 | 42.8 | 49.3 | 46.4 | 47.4 | ||||||||||||||
| Rural | 57.6 | 49.2 | 57.2 | 50.7 | 53.6 | 52.6 | ||||||||||||||
| <0.001 * | 0.018 * | |||||||||||||||||||
| North | 13.0 | 16.2 | 13.2 | 12.2 | 12.9 | 12.7 | ||||||||||||||
| Northeast | 9.6 | 36.0 | 10.7 | 11.5 | 8.5 | 9.5 | ||||||||||||||
| East | 28.4 | 18.2 | 27.9 | 34.3 | 30.5 | 31.8 | ||||||||||||||
| Mid-south | 18.2 | 8.5 | 17.8 | 19.0 | 19.5 | 19.3 | ||||||||||||||
| Southwest | 23.9 | 18.7 | 23.7 | 16.1 | 21.6 | 19.7 | ||||||||||||||
| Northwest | 6.9 | 2.4 | 6.7 | 6.9 | 7.0 | 7.0 | ||||||||||||||
| 0.743 | 0.024 * | |||||||||||||||||||
| Lowest | 16.0 | 19.9 | 16.1 | 16.0 | 15.3 | 15.5 | ||||||||||||||
| Low | 19.5 | 21.8 | 19.6 | 14.8 | 18.8 | 17.5 | ||||||||||||||
| Middle | 20.7 | 18.5 | 20.6 | 19.9 | 20.6 | 20.4 | ||||||||||||||
| High | 21.9 | 19.2 | 21.8 | 21.3 | 21.1 | 21.2 | ||||||||||||||
| Highest | 21.9 | 20.6 | 21.9 | 28.0 | 24.2 | 25.4 | ||||||||||||||
| <0.001 * | <0.001 * | |||||||||||||||||||
| Agriculture workers | 34.2 | 41.0 | 34.5 | 25.2 | 33.1 | 30.5 | ||||||||||||||
| Equipment operator/Technician | 26.2 | 1.7 | 25.1 | 17.2 | 7.5 | 10.8 | ||||||||||||||
| Business/Service industry employee | 16.8 | 10.5 | 16.5 | 13.0 | 16.5 | 15.3 | ||||||||||||||
| Leader of organizations | 6.7 | 6.5 | 6.7 | 6.4 | 3.7 | 4.6 | ||||||||||||||
| Medical/Health personnel | 1.0 | 0.0 | 1.0 | 1.7 | 2.1 | 1.9 | ||||||||||||||
| Teacher | 0.8 | 0.0 | 0.8 | 1.7 | 2.0 | 1.9 | ||||||||||||||
| Other | 14.3 | 40.4 | 15.4 | 34.8 | 35.1 | 35.0 | ||||||||||||||
Notes: : All percentages were weighted using personal weights, survey strata and primary sampling units (PSUs) information; : Secondary school in China is equivalent to middle school or junior high school in the U.S. (usually cover grade 7–9); High School/Technical Secondary School is equivalent to senior high school in the U.S. (usually cover grade 10–12); *: p Value < 0.05.
Knowledge of harm effects of smoking and SHS exposure.
| Characteristics | Smoking Knowledge a | SHS Exposure Knowledge a | ||||||
|---|---|---|---|---|---|---|---|---|
| Little (56.8%) | Some (21.1%) | Good (22.1%) | Little (51.5%) | Some (23.9%) | Good (24.6%) | |||
| 0.004 * | <0.001 * | |||||||
| 15–34 Years | 54.1 | 24.0 | 22.0 | 40.9 | 32.1 | 27.0 | ||
| 35–44 Years | 58.3 | 21.1 | 20.6 | 50.8 | 23.3 | 26.0 | ||
| 45–59 Years | 57.3 | 19.0 | 23.7 | 58.3 | 18.6 | 23.1 | ||
| ≥60 Years | 61.1 | 16.8 | 22.1 | 67.5 | 13.3 | 19.2 | ||
| 0.045 * | 0.044 * | |||||||
| Male | 55.3 | 21.6 | 23.1 | 50.2 | 24.0 | 25.8 | ||
| Female | 58.7 | 20.3 | 21.0 | 52.8 | 23.8 | 23.4 | ||
| <0.001 * | <0.001 * | |||||||
| ≤Primary School | 70.8 | 14.8 | 14.3 | 75.1 | 12.6 | 12.4 | ||
| ≤Secondary School b | 59.0 | 20.9 | 20.1 | 52.4 | 24.4 | 23.2 | ||
| High School/Technical Secondary School b | 47.7 | 25.6 | 26.8 | 35.9 | 31.5 | 32.6 | ||
| ≥College | 35.4 | 27.2 | 37.4 | 22.9 | 34.3 | 42.8 | ||
| <0.001 * | <0.001 * | |||||||
| Agriculture workers | 68.8 | 16.2 | 15.0 | 69.5 | 15.6 | 14.9 | ||
| Equipment operator/Technician | 52.4 | 24.3 | 23.3 | 44.5 | 30.8 | 24.7 | ||
| Business/Service Industry employee | 58.6 | 21.9 | 19.5 | 47.1 | 28.6 | 24.3 | ||
| Leader of organizations | 39.9 | 22.3 | 37.8 | 35.1 | 26.1 | 38.8 | ||
| Medical/Health personnel | 20.2 | 23.9 | 55.8 | 17.2 | 20.5 | 62.3 | ||
| Teacher | 39.2 | 26.5 | 34.3 | 21.9 | 31.4 | 46.7 | ||
| Other | 51.7 | 23.3 | 25.0 | |||||
| 0.002 * | <0.001 * | |||||||
| Non-smoker | 55.2 | 21.7 | 23.0 | 49.6 | 24.8 | 25.6 | ||
| Current Smoker | 61.3 | 19.1 | 19.6 | 56.3 | 21.6 | 22.1 | ||
Notes: : All analyses were weighted using personal weights, survey strata and PSUs information; : Secondary school in China is equivalent to middle school or junior high school in the U.S. (usually cover grade 7–9); High School/Technical Secondary School is equivalent to senior high school in the U.S. (usually cover grade 10–12); *: p Value < 0.05.
Prevalence of smoking bans in home and at workplaces.
| Characteristics | In-Home Smoking Ban (n = 13,308) a | Workplace Smoking Ban (n = 4431) a | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Full (9.3%) | Partial (12.1%) | No Ban (78.6%) | Full (28.8%) | Partial (30.4%) | No Ban (40.8%) | ||||
| <0.001 * | 0.079 | ||||||||
| Urban | 13.4 | 18.5 | 68.1 | 30.7 | 31.7 | 37.6 | |||
| Rural | 5.8 | 6.7 | 87.6 | 25.5 | 28.3 | 46.2 | |||
| 0.142 | 0.064 | ||||||||
| North | 10.7 | 17.6 | 71.7 | 39.4 | 26.6 | 34.0 | |||
| Northeast | 9.6 | 15.5 | 74.8 | 28.9 | 33.6 | 37.5 | |||
| East | 10.8 | 12.2 | 77.0 | 29.6 | 29.4 | 41.0 | |||
| Mid-south | 5.1 | 7.9 | 87.0 | 28.2 | 28.1 | 43.7 | |||
| Southwest | 6.8 | 10.0 | 83.3 | 18.0 | 37.4 | 44.6 | |||
| Northwest | 17.9 | 14.6 | 67.5 | 29.5 | 27.4 | 43.1 | |||
| <0.001 * | - | ||||||||
| Lowest | 7.7 | 4.2 | 88.1 | - | - | - | |||
| Low | 5.9 | 6.1 | 88.0 | - | - | - | |||
| Middle | 8.0 | 12.0 | 80.0 | - | - | - | |||
| High | 10.3 | 15.3 | 74.4 | - | - | - | |||
| Highest | 12.8 | 18.9 | 68.3 | - | - | - | |||
| <0.001 * | |||||||||
| Equipment operator/ Technician | - | - | - | 26.9 | 30.8 | 42.3 | |||
| Business/ Service industry employee | - | - | - | 23.6 | 26.3 | 50.1 | |||
| Leader of organizations | - | - | - | 24.1 | 35.2 | 40.7 | |||
| Medical/ Health personnel | - | - | - | 48.1 | 36.6 | 15.3 | |||
| Teacher | - | - | - | 41.8 | 36.5 | 21.7 | |||
| Other | - | - | - | 34.6 | 30.6 | 34.8 | |||
Notes: : All analyses were weighted using personal weights, survey strata and PSUs information; : Agriculture workers were excluded from the analysis because they usually work outdoors; *: p Value < 0.05.
Prevalence of viewing smoking in various public places.
| Characteristics | Government Buildings (n = 1289) | Healthcare Facilities (n = 4713) | Public Transportation (n = 6569) | Restaurants (n = 5808) | Schools (n = 2449) |
|---|---|---|---|---|---|
| Urban | 57.2 | 33.0 | 27.0 | 89.4 | 37.0 |
| Rural | 62.5 | 67.0 | 42.3 | 89.4 | 38.5 |
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| North | 45.3 | 26.1 | 19.1 | 87.9 | 30.2 |
| Northeast | 66.3 | 38.3 | 31.6 | 88.9 | 28.4 |
| East | 55.2 | 32.3 | 29.9 | 91.6 | 39.1 |
| Mid-south | 53.4 | 41.2 | 37.6 | 87.4 | 39.1 |
| Southwest | 75.7 | 54.5 | 48.6 | 90.6 | 42.0 |
| Northwest | 46.2 | 32.9 | 28.4 | 85.1 | 38.5 |
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Notes: All analyses were weighted using personal weights, survey strata and PSUs information; * p Value < 0.05.