RESEARCH PAPER
Within family transmission of secondhand smoke sensitivity and smoking attitude
1
Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
2
Central European University, Budapest, Hungary
3
Department of Pulmonology, Semmelweis University, Budapest, Hungary
4
Research Group for Inflammation Biology and Immunogenomics of Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary
5
Department of Cardiology, Military Hospital, Budapest, Hungary
6
Department of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary
7
The Methodist Hospital, DeBakey Heart and Vascular Center, Houston, TX, USA
Ann Agric Environ Med. 2014;21(4):771-775
KEYWORDS
ABSTRACT
Introduction and objective:
The role of genetic factors in nicotine dependence is well understood, but no information is available on the inheritability of second-hand smoke (SHS) exposure sensitivity and their co-variance.
Material and Methods:
186 adult same-gender pairs of twin (146 monozygotic, 40 dizygotic; 44±17 years±SD) completed a questionnaire.
Results:
The model showed a significant role of unshared environmental factors influencing the co-variance between smoking habit and SHS sensitivity (re=-0.191, 95% CI, -0.316 to -0.056, or the total phenotypic correlation of rph=-0.406, p<0.001) without evidence for genetic covariation. Age, gender and country-adjusted analysis indicated 51.5% heritability for smoking habit (95% confidence interval/CI/, 6.2 to 89.8%), 49.7% for SHS sensitivity (95%CI, 19.1–72.0%), 35.5% for general opinions on SHS exposure in restaurants/cafés (95%CI, 10.7–58.6%), and 16.9% in pubs/bars (95%CI, 0.0–49.0%).
Conclusions:
The co-variance between SHS sensitivity and smoking habits is driven mainly by the unshared environment. SHS sensitivity is moderately inheritable. The considerable influence of environmental factors on general opinions on SHS exposure in designated indoor public venues emphasizes the importance of smoking bans and health behaviour interventions at the individual level in developing an anti-smoking attitude.
The role of genetic factors in nicotine dependence is well understood, but no information is available on the inheritability of second-hand smoke (SHS) exposure sensitivity and their co-variance.
Material and Methods:
186 adult same-gender pairs of twin (146 monozygotic, 40 dizygotic; 44±17 years±SD) completed a questionnaire.
Results:
The model showed a significant role of unshared environmental factors influencing the co-variance between smoking habit and SHS sensitivity (re=-0.191, 95% CI, -0.316 to -0.056, or the total phenotypic correlation of rph=-0.406, p<0.001) without evidence for genetic covariation. Age, gender and country-adjusted analysis indicated 51.5% heritability for smoking habit (95% confidence interval/CI/, 6.2 to 89.8%), 49.7% for SHS sensitivity (95%CI, 19.1–72.0%), 35.5% for general opinions on SHS exposure in restaurants/cafés (95%CI, 10.7–58.6%), and 16.9% in pubs/bars (95%CI, 0.0–49.0%).
Conclusions:
The co-variance between SHS sensitivity and smoking habits is driven mainly by the unshared environment. SHS sensitivity is moderately inheritable. The considerable influence of environmental factors on general opinions on SHS exposure in designated indoor public venues emphasizes the importance of smoking bans and health behaviour interventions at the individual level in developing an anti-smoking attitude.
REFERENCES (25)
1.
Klepeis NE, Apte MG, Gundel LA, Sextro RG, Nazaroff WW. Determining Size-Specific Emission Factors for Environmental Tobacco Smoke Particles. Aer Sci Tech. 2003; 37: 780–790.
2.
US Department of Health and Human Services. The Health Consequences of Involuntary Exposure to Tobacco Smoke: a Report of the Surgeon General. US Department of Health and Human Services, Centers for Disease Control and Prevention, Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. 2006 http://www.cdc.gov/tobacco/dat... (access: 2012.06.25).
3.
Zhu, BQ, Heeschen C, Sievers RE, Karliner JS, Parmley WW, Glantz SA, et al. Second hand smoke stimulates tumor angiogenesis and growth. Cancer Cell. 2003; 4(3): 191–196.
4.
Moffatt RJ, Chelland SA, Pecott DL, Stamford BA. Acute exposure to environmental tobacco smoke reduces HDL-C and HDL2-C. Prev Med. 2004; 38(5): 637–641.
5.
Eisner MD, Balmes J, Katz PP, Trupin L, Yelin EH, Blanc PD. Lifetime environmental tobacco smoke exposure and the risk of chronic obstructive pulmonary disease. Environ Health. 2005; 4(1): 7.
6.
International Agency for Research on Cancer (IARC). Tobacco smoking and involuntary smoking. ARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Vol. 83, Lyon, France, 2002.
7.
National Cancer Institute (NCI). Fact sheet on environmental tobacco smoke http://cis.nci.nih.gov/fact/10... (access: 2000.02.02.).
8.
Environmental Health Information Service (EHIS), ninth report on Carcinogens. US Department of Health and Human Services, Public Health Service, National Toxicology Program, 2000.
9.
Alberg A, Samet J. Epidemiology of Lung Cancer. Chest. 2003; 123(Suppl1): 21–49.
10.
Modig K, Silventoinen K, Tynelius P, Kaprio J, Rasmussen F. Genetics of the association between intelligence and nicotine dependence: a study of male Swedish twins. Addiction. 2011; 106(5): 995–1002.
11.
Broms U, Madden PA, Heath AC, Pergadia ML, Shiffman S, Kaprio J. The Nicotine Dependence Syndrome Scale in Finnish smokers. Drug Alcohol Depend. 2007; 89(1): 42–51.
12.
Pergadia ML, Agrawal A, Heath AC, Martin NG, Bucholz KK, Madden PA. Nicotine withdrawal symptoms in adolescent and adult twins. Twin Res Human Genet. 2010; 13(4): 359–369.
13.
Carmelli D, Swan GE, Robinette D, Fabsitz R. Genetic influence on smoking—a study of male twins. N Engl J Med. 1992; 327(12): 829–833.
14.
Gao WJ, Li LM, Cao WH, Zhan SY, Lv J, Pang ZC, et al. Study of twin-birth on genetic or environmental determinants of male Chinese smoking initiation. Beijing Da Xue Xue Bao 2010; 42(3): 284–287.
15.
Maes HH, Neale MC, Kendler KS, Martin NG, Heath AC, Eaves LJ. Genetic and cultural transmission of smoking initiation: an extended twin kinship model. Behav Genet. 2006; 36(6): 795–808.
16.
Vink JM, Posthuma D, Neale MC, Eline Slagboom P, Boomsma DI, Genome-wide linkage scan to identify Loci for age at first cigarette in Dutch sibling pairs. Behav Genet. 2006; 36(1): 100–111.
17.
Littvay L, Métneki J, Tárnoki AD, Tárnoki DL. The Hungarian Twin Registry. Twin Res Human Genet. 2013; 16(1): 185–189.
18.
Heath AC, Nyholt DR, Neuman R, Madden PA, Bucholz KK, Todd RD, et al. Zygosity diagnosis in the absence of genotypic data: an approach using latent class analysis. Twin Res. 2003; 6(1): 22–26.
19.
King BA, Travers MJ, Cummings KM, Mahoney MC, Hyland AJ. Prevalence and predictors of smoke-free policy implementation and support among owners and managers of multiunit housing. Nicotine Tob Res. 2010; 12(2): 159–163.
20.
Neale MC, Cardon LR. Methodology for genetic studies of twins and families. Dordrecht, Netherlands, Kluwer Academic Publishers, 1992.
21.
Medland SE, Hatemi PK. Political science, biometric theory, and twin studies: A methodological introduction. Political Analysis 2009; 17: 191–214.
22.
Muthén LK, Muthén BO. Mplus. Statistical Analysis with Latent Variables. User’s Guide (1998–2010). Los Angeles: Muthén & Muthén, 2010.
23.
Lessov-Schlaggar CN, Wahlgren DR, Liles S, Ji M, Hughes SC, Winickoff JP, Jones JA, Swan GE, Hovell MF. Sensitivity to secondhand smoke exposure predicts future smoking susceptibility. Pediatrics 2011; 128(2): 254–262.
24.
Lessov-Schlaggar CN, Pang Z, Swan GE, Guo Q, Wang S, Cao W, Unger JB, Johnson CA, Lee L. Heritability of cigarette smoking and alcohol use in Chinese male twins: the Qingdao twin registry. Int J Epidemiol. 2006; 35(5): 1278–1285.
25.
Tárnoki DL, Tárnoki AD, Hyland A, Travers MJ, Dobson K, Mechtler L, et al. Measurement of indoor smoke pollution in public places in Hungary. Orv Hetil. 2010; 151(6): 213–219.
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