Passive smoking, cytochrome P450 gene polymorphisms and dysmenorrhea

  • Lou Lei
  • Linan Ye
  • Hong Liu
  • Changzhong Chen
  • Zhian Fang
  • Lihua Wang
  • Yonghua Hu
  • Dafang Chen


Purpose This study investigated whether the association between passive smoking exposure and dysmenorrhea is modified by two susceptibility genes, CYP1A1MspI and CYP1A1HincII. Methods This report includes 1,645 (1,124 no dysmenorrhea, 521 dysmenorrhea) non-smoking and non-drinking newly wedding female workers at Anqing, China between June 1997 and June 2000. Multiple logistic regression models were used to estimate the associations of passive smoking exposure and genetic susceptibility with dysmenorrhea, adjusting for maternal age, BMI, age of menarche, education, vibration exposure, shift work, noise exposure, pregnancy history, perceived stress and physical laboring stress. Results In the passive smoking group, women who have C/C6235 genotype (OR = 1.8, 95% CI = 1.0–3.3) in CYP1A1MspI and Ile/Ile462 genotype (OR = 2.9, 95% CI = 1.1–7.7) in CYP1A1HincII was associated with an increased risk of dysmenorrhea. When stratified by women genotype, the adjusted OR of dysmenorrheal was 1.6 (95% CI = 1.2–2.1) for passive smoking group with Ile/Ile462 genotype, and 1.5 (95% CI = 1.0–2.1) with C/C6235 genotype, compared to non-passive smoking group, respectively. The data further showed that there was a significant combined effect between passive smoking and the CYP1A1 Msp1C/C6235 (OR = 1.5, 95% CI = 1.0–2.1), and HincII Ile/Ile462 (OR = 1.6, 95% CI = 1.2–2.1), respectively. Conclusion CYP1A1 MspI and HincII genotypes modified the association between passive smoking and dysmenorrhea.


Cytochrome P450 Dysmenorrhea Polymorphism Genetic Passive smoke 


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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Lou Lei
    • 1
  • Linan Ye
    • 1
  • Hong Liu
    • 1
  • Changzhong Chen
    • 2
  • Zhian Fang
    • 3
  • Lihua Wang
    • 1
  • Yonghua Hu
    • 1
  • Dafang Chen
    • 1
  1. 1.Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
  2. 2.Brigham and Women’s hospitalHarvard Medical SchoolBostonUSA
  3. 3.Anhui Biomedical InstituteAnhui ProvinceChina

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