Smoking trajectories among Koreans in Seoul and California: exemplifying a common error in age parameterization.
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.
University of Southern California Keck School of Medicine, Los Angeles, CA, USA. allem@usc.edu
Jon-Patrick
JP
Allem
John W
JW
Ayers
Jennifer B
JB
Unger
Veronica L
VL
Irvin
C Richard
CR
Hofstetter
Melbourne F
MF
Hovell
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001213:Asian / Q000706:statistics & numerical data*; D044466:Asian People / Q000706:statistics & numerical data*; D001294:Attitude to Health / Q000208:ethnology*; D002140:California; D003627:Data Interpretation, Statistical; D004641:Emigration and Immigration; D005260:Female; D015438:Health Behavior / Q000208:ethnology*; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D056910:Republic of Korea; D012907:Smoking / Q000009:adverse effects / Q000208:ethnology*; D055815:Young Adult