[A cross sectional study of passive smoking of non-smoking women and analysis of influence factors on women passive smoking].
OBJECTIVE
To fund out the state of passive smoking of non-smoking women and search for measures of controlling women passive smoking.


METHODS
3500 non-smoking women in Beijing, Shanghai, Chengdu city were interviewed. Analyses were performed by chi2 test Fisher test and ANOVA test.


RESULTS
92.7% passive smoking women exposure to ETS at home, 40.8% at workplace. 38.9% exposed to ETS from birthday, and 42.3% from 18 - 30 age. The average exposure time of passive smoking is (1.17 +/- 1.10) hours per day. The proportion of passive-smoking time over 2 hours at home is higher than work place. In passive-smoking group, the proportion of 30 - 50 age group, secondary education, married, merchant/service, principal of units, and manufacture/transport workers were higher than non-smoking group. 97.5% think that passive smoking is harmful to health, and the proportion of thinking passive smoking has severe harm to health in non-passive-smoking group is higher than passive-smoking group. 70.0% open windows when someone smokes around her, but only 16.9% ask the smokers do not smoke around her forwardly. Suppose that someone were smoking around yourself, the consciousness of avoiding passive smoking forwardly in non-passive-smoking group is stronger than passive-smoking group. 95.1% believe the content of smoking-harm propagandized by medium.


CONCLUSIONS
The main places of controlling passive smoking are the home and the department, commerce, service, and manufacture/ transport workplace. The rate of passive smoking was influenced by the consciousness of the serious level of harms by passive smoking. Propagandizing the serious harm of passive smoking by medium and strengthening the consciousness of avoiding passive smoking were one of feasible measures to lower the rate of smoking and passive smoking.
Han
Jing-Xiu
JX
Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Ma
Ling
L
Zhang
Hong-Wei
HW
Liu
Xi
X
Zheng
Su-hua
SH
Gan
De-kun
DK
Fang
Jun
J
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008875:Middle Aged; D012494:Sampling Studies; D014028:Tobacco Smoke Pollution / Q000517:prevention & control / Q000706:statistics & numerical data*
D014028:Tobacco Smoke Pollution