Premium
Relative contribution of genetic, individual, and self‐efficacy factors to smoking cessation in a Chinese rural population
Author(s) -
Wang Qiang,
Li Suyun,
Li Huijie,
Yang Xiaorong,
Jiang Fan,
Zhang Nan,
Han Mingkui,
Jia Chongqi
Publication year - 2017
Publication title -
the american journal on addictions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.997
H-Index - 76
eISSN - 1521-0391
pISSN - 1055-0496
DOI - 10.1111/ajad.12507
Subject(s) - logistic regression , smoking cessation , single nucleotide polymorphism , medicine , genetic model , demography , nicotine , clinical psychology , psychology , biology , genotype , genetics , gene , pathology , sociology
Background and Objectives 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. Scientific Significance 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)