title: Relative contribution of genetic, individual, and self-efficacy factors to smoking cessation in a Chinese rural population.
abstract: OBJECTIVE
  Nicotine dependence is influenced by genetic, individual, and psychological factors. We aimed to examine whether nicotinic acetylcholine receptor genes (CHRN) were associated with smoking cessation (SC) using genetic risk score and compare the relative contribution of genetic, individual and self-efficacy factors to SC.
  
  
  METHODS
  Eight hundred and nineteen male smokers (mean age: 59.62) were recruited from 17 villages of three counties in Shandong province, China. Thirty-two single nucleotide polymorphisms (SNPs) in seven CHRN genes were genotyped. Logistic regression was used to explore the relationship between genetic risk score and SC. Dominance analysis was performed to compare the relative contribution of genetic, individual, and self-efficacy factors on SC.
  
  
  RESULTS
  CHRNA3 genetic risk score was associated with SC. Dominance analysis showed that individual factor was the most important predictor for SC, followed by genetic and self-efficacy factors.
  
  
  CONCLUSIONS
  CHRNA3 was associated with successful SC. Individual factor had more contribution than genetic factor to SC.
  
  
  CONCLUSIONS
  Our findings provide support to the role of CHRN genes in the etiology of smoking cessation using genetic risk score. Individual factor should be particularly valued in smoking control intervention. (Am J Addict 2017;26:161-166).
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Suyun
authors.initials: S
authors.lastname: Li
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Huijie
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Xiaorong
authors.initials: X
authors.lastname: Yang
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Fan
authors.initials: F
authors.lastname: Jiang
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Nan
authors.initials: N
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Mingkui
authors.initials: M
authors.lastname: Han
authors.affiliation: Department of Epidemiology, Shandong University, Jinan, Shandong, P. R. China.
authors.forename: Chongqi
authors.initials: C
authors.lastname: Jia
mesh_terms: D002681:China / Q000453:epidemiology; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D011978:Receptors, Nicotinic / Q000235:genetics*; D012307:Risk Factors; D012424:Rural Population; D020377:Self Efficacy; D012907:Smoking / Q000453:epidemiology / Q000235:genetics / Q000523:psychology / Q000628:therapy; D016540:Smoking Cessation / Q000523:psychology / Q000706:statistics & numerical data
chemical_list: D011978:Receptors, Nicotinic