» Articles » PMID: 22901135

Smoking Trajectories Among Koreans in Seoul and California: Exemplifying a Common Error in Age Parameterization

Overview
Specialty Oncology
Date 2012 Aug 21
PMID 22901135
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Immigration to a nation with a stronger anti-smoking environment has been hypothesized to make smoking less common. However, little is known about how environments influence risk of smoking across the lifecourse. Research suggested a linear decline in smoking over the lifecourse but these associations, in fact, might not be linear. This study assessed the possible nonlinear associations between age and smoking and examined how these associations differed by environment through comparing Koreans in Seoul, South Korea and Korean Americans in California, United States. Data were drawn from population based telephone surveys of Korean adults in Seoul (N=500) and California (N=2,830) from 2001-2002. Locally weighted scatterplot smoothing (lowess) was used to approximate the association between age and smoking with multivariable spline logistic regressions, including adjustment for confounds used to draw population inferences. Smoking differed across the lifecourse between Korean and Korean American men. The association between age and smoking peaked around 35 years among Korean and Korean American men. From 18 to 35 the probability of smoking was 57% higher (95%CI, 40 to 71) among Korean men versus 8% (95%CI, 3 to 19) higher among Korean American men. A similar difference in age after 35, from 40 to 57 years of age, was associated with a 2% (95%CI, 0 to 10) and 20% (95%CI, 16 to 25) lower probability of smoking among Korean and Korean American men. A nonlinear pattern was also observed among Korean American women. Social role transitions provide plausible explanations for the decline in smoking after 35. Investigators should be mindful of nonlinearities in age when attempting to understand tobacco use.

Citing Articles

Using Ecological Momentary Assessment to Identify Common Smoking Situations Among Korean American Emerging Adults.

Cerrada C, Ra C, Shin H, Dzubur E, Huh J Prev Sci. 2016; 17(7):892-902.

PMID: 27476588 PMC: 5030172. DOI: 10.1007/s11121-016-0687-7.


Characteristics of emerging adulthood and e-cigarette use: Findings from a pilot study.

Allem J, Forster M, Neiberger A, Unger J Addict Behav. 2015; 50:40-4.

PMID: 26093505 PMC: 4515365. DOI: 10.1016/j.addbeh.2015.06.023.


Compliance with smoke-free policies in korean bars and restaurants in california: a descriptive analysis.

Irvin V, Hofstetter C, Nichols J, Chambers C, Usita P, Norman G Asian Pac J Cancer Prev. 2015; 16(3):1083-9.

PMID: 25735336 PMC: 4396986. DOI: 10.7314/apjcp.2015.16.3.1083.


The Relationship Between the Accumulated Number of Role Transitions and Hard Drug Use among Hispanic Emerging Adults.

Allem J, Soto D, Baezconde-Garbanati L, Unger J J Psychoactive Drugs. 2015; 47(1):60-4.

PMID: 25715073 PMC: 4341943. DOI: 10.1080/02791072.2014.1001099.

References
1.
Zhang J, Wang Z . Factors associated with smoking in Asian American adults: a systematic review. Nicotine Tob Res. 2008; 10(5):791-801. DOI: 10.1080/14622200802027230. View

2.
Chung W, Kim H, Lim S, Lee S, Cho K . Factors influencing cigarette smoking and quantified implications for anti-smoking policy: evidence from South Korea. Int J Public Health. 2009; 54(6):409-19. DOI: 10.1007/s00038-009-0087-x. View

3.
Hofstetter C, Hovell M, Irvin V, Ayers J, Hughes S, Kang S . It's others, not the police: smoking, reprimand, and fines among adults of Korean descent in California. Health Psychol. 2010; 29(3):255-61. PMC: 2877265. DOI: 10.1037/a0018166. View

4.
Do Y, Park K . Local governments' dependence on tobacco tax revenue: a deterrent to tobacco control in the Republic of Korea. Bull World Health Organ. 2009; 87(9):692-9. PMC: 2739912. DOI: 10.2471/blt.08.056051. View

5.
Gilman S, Martin L, Abrams D, Kawachi I, Kubzansky L, Loucks E . Educational attainment and cigarette smoking: a causal association?. Int J Epidemiol. 2008; 37(3):615-24. PMC: 4939617. DOI: 10.1093/ije/dym250. View