Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2005 Nov;114(4):612-26.
doi: 10.1037/0021-843X.114.4.612.

Conjoint developmental trajectories of young adult alcohol and tobacco use

Affiliations

Conjoint developmental trajectories of young adult alcohol and tobacco use

Kristina M Jackson et al. J Abnorm Psychol. 2005 Nov.

Abstract

Developmental and etiological advances have set the stage for considering trajectories of problem behavior across the life course, but little work thus far addresses co-occurring problem behavior trajectories. Although recent work characterizes drinking and smoking trajectories, none has explored the course of concurrent drinking and smoking. Using panel data from the Monitoring the Future Project (N=32,087), the authors applied growth mixture modeling to 4 waves of heavy drinking and smoking in a young-adult sample. The authors extracted a single latent group membership factor from heavy drinking and smoking. Associations between trajectory classes and risk factors were relatively unique to the substance being predicted. The association of smoking with alcohol expectancies and delinquency appeared to exist by virtue of smoking's comorbidity with drinking.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Heavy drinking (top panel) and smoking (bottom panel) at Times 1–4 as a function of birth cohort. Item responses for heavy or binge drinking were 1 (never drink), 2 (once), 3 (twice), 4 (3–5 times), 5 (6–9 times), and 6 (10 or more times). Item responses for quantity of smoking were 1 (not at all), 2 (less than 1 cigarette per day), 3 (1–5 cigarettes per day), 4 (about 1/2 pack per day), 5 (about one pack per day), 6 (about 1½ packs per day), and 7 (2 packs or more per day)
Figure 2
Figure 2
Mixture model for frequency of heavy drinking (left) and smoking quantity (right) at Times 1–4 weighted by estimated class probabilities. Akaike’s (1987) Information Criterion = 577,348.87; Bayesian Information Criterion (Schwartz, 1978) = 578035.59; Entropy = .92.

Similar articles

Cited by

References

    1. Akaike H. Factor analysis and AIC. Psychometrika. 1987;52:317–332.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders. 3rd ed. Author; Washington, DC: 1980.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders. 3rd ed. Author; Washington, DC: 1987. rev.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders. 4th ed. Author; Washington, DC: 1994.
    1. Bachman JG, O’Malley PM, Johnston LD, Rodgers WL, Schulenberg J, Lim J, Wadsworth KN. Changes in drug use during ages 18–32. Institute for Social Research; Ann Arbor, MI: 1996. Monitoring the Future Occasional Paper No. 39.

Publication types