trajectories of smoking among college freshmen: data from the uptern study
DESCRIPTION
Trajectories of Smoking Among College Freshmen: Data from the UpTERN Study. Brian R. Flay, Eisuke Segawa, Donald Hedeker, Craig Colder and TERN members. Selection of Subjects for These Analyses. Fitted Curve for Standard Mixed Effect Model. Statistical Model: Hybrid of HLM & GMM. - PowerPoint PPT PresentationTRANSCRIPT
Trajectories of Smoking Among College Freshmen:
Data from the UpTERN Study
Brian R. Flay, Eisuke Segawa, Donald Hedeker, Craig Colder
and TERN members
Selection of Subjects for These Analyses
Fitted Curve for Standard Mixed Effect Model
Statistical Model: Hybrid of HLM & GMM
• In pure GMM, classification is dominated by intercepts
• Our interest was more in changes over time, or slopes
• Therefore, we specified a common (random-effect) intercept model
• Model estimates only one intercept (mean over all subjects), but it provides intercept estimates for each subject as in HLM
Overall Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class 7
Mean Intercept 2.394
Slope 0.516 0.207 0.001 -0.177 -0.278 -0.629 -1.145
Quadratic 0.127 0.068 0.015 0.000 0.056 0.198 0.194
4.00 1.6 0.0 -1.4 -2.2 -4.9 -8.9
Variance Intercept 9.2
Slope Fixed Fixed Fixed Fixed Fixed Fixed Fixed
Quadratic Fixed Fixed Fixed Fixed Fixed Fixed Fixed
Int X slp Fixed Fixed Fixed Fixed Fixed Fixed Fixed
Y1- y9 3.9 0.3 0.2 2.1 0.4 1.0 13.3
Covarianceyi with yj 0.9 0.0 0.0 0.7 0.1 0.45 4.9
10% 5% 18% 22% 17% 12% 16%
20 10 34 43 32 24 30
Yellow cells statistically significant BIC = 6574.1
Change in cigs/ day
Proportion of class
Number of subjects
Common Random Intercept GMM for non-centered data: 7 Class Model
Class
7-class Common Random Intercept GMM
Class 1: Increasers
Class 2:Low-level increasers
Class 3: Occasional Smokers
Class 4: Regular Chippers
Class 5: Reducing Chippers
Class 6: Higher reducing chippers
Class 7: High variation decreasers
Change Subjects Subjects
Class1 Increasers 1 5% 19 95% 20
Class2Low-level
Increasers 0 0% 10 100% 10
Class3Occasional Smokers 19 56% 15 44% 34
Class4 Chippers 30 70% 13 30% 43
Class5Reducing Chippers 32 100% 0 0% 32
Class6High Reducing
Chippers 24 100% 0 0% 24
Class7High Variation
Decreasers 29 97% 1 3% 30
Classification by increase or decreasein smoking during the year
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What happened to these groups the following year?
What happened to these groups the following year?
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7class 5
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7class 6
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Conclusions• The overall levels of smoking among
college students are lower than expected
• Nevertheless, some students increased their rates of smoking and others decreased
• Hybrid HLM and Growth Mixture Analysis provided a meaningful grouping of students that described their patterns of smoking during freshman year
• All smokers are at risk of increasing or maintaining their smoking levels!