S China J Prev Med ›› 2016, Vol. 42 ›› Issue (1): 32-36.doi: 10.13217/j.scjpm.2016.0032

• Original Article • Previous Articles     Next Articles

Passive smoking at home and its determinants among pregnant women in Shenzhen

WEN Huan-jun1, WU Chuan-an2, YAN Chun-rong2, ZHU Li-qing3, LIU Xu-hua3, JIANG Hui1, ZHANG Chao1, CHEN Wei-qing1   

  1. 1. School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; 2.Maternal and Child Health Care Center of Longhua District in Shenzhen; 3.Nanshan Maternal and Child Health Care Hospital
  • Received:2015-08-28 Online:2016-02-20 Published:2016-05-16

Abstract: ObjectiveTo explore passive smoking at home and its determinants among pregnant women in Shenzhen City. MethodsFace to face interviews were carried out among pregnant women from 4 hospitals in Shenzhen City from October 2014 to May 2015. Pregnant women were selected by convenient sampling method. They were inquired about their social demographic data, smoking behaviors, prohibiting smoking at home, and smoking behaviors of husbands (or partners) and other family members using a self-report structured questionnaire.ResultsA total of 1 139 pregnant women completed the survey, with a response rate of 95.63%. Their average age was (27.15±3.83)years (range: 17-47 years). Of all the responders, 43.02% had a college education or higher, 42.05% reported having household income between 6 000 - 9 999 Yuan monthly, 46.80% were primigravidae, and 2.63% reported they had been smokers. Of the 1 139 pregnant women, 594 (52.15%) were exposure to passive smoking. The binary logistic regression analysis indicated that with the increase of age (OR=0.96), higher education level (OR=0.81), prohibiting smoking at home(OR=0.50), the prevalence of passive smoking during pregnancy at home decreased. Abortion history (OR=1.43) and smoking history (OR=7.16) of pregnant women were associated with higher passive smoking rate at home. ConclusionThe prevalence of passive smoking among pregnant women at home in Shenzhen is much higher and influenced by age, education, abortion history, smoking history, and prohibiting smoking at home.

CLC Number: 

  • R173